Podcasts about Ubuntu

To become a follower of Jesus, visit: https://MorningMindsetMedia.com/MeetJesus  (NOT a Morning Mindset resource)   ⇒ TODAY'S DAILY SPONSOR: The cost of today’s episode is financially supported by David, from Ohio, who listens every morning.   You can sponsor a daily episode of the Morning Mindset too, by going to https://MorningMindsetMedia.com/DailySponsor ➖➖➖➖➖➖➖➖➖➖ TODAY'S SCRIPTURE: Matthew 13:47–50 - “Again, the kingdom of heaven is like a net that was thrown into the sea and gathered fish of every kind. [48] When it was full, men drew it ashore and sat down and sorted the good into containers but threw away the bad. [49] So it will be at the end of the age. The angels will come out and separate the evil from the righteous [50] and throw them into the fiery furnace. In that place there will be weeping and gnashing of teeth. (ESV) ➖➖➖➖➖➖➖➖➖➖ FINANCIALLY SUPPORT THE MORNING MINDSET: (not tax-deductible) -- Become a monthly partner: https://mm-gfk-partners.supercast.com/ -- Underwrite one daily episode: https://MorningMindsetMedia.com/daily-sponsor/ -- Give one-time: https://give.cornerstone.cc/careygreen -- Venmo: @CareyNGreen ➖➖➖➖➖➖➖➖➖➖ FOREIGN LANGUAGE VERSIONS OF THIS PODCAST: Subscribe to the SPANISH version: https://MorningMindsetMedia.com/Spanish Subscribe to the CHINESE version: https://MorningMindsetMedia.com/Chinese ➖➖➖➖➖➖➖➖➖➖ CONTACT: Carey@careygreen.com   

To become a follower of Jesus, visit: https://MorningMindsetMedia.com/MeetJesus  (NOT a Morning Mindset resource)   ⇒ BECOME A MONTHLY PARTNER: (not tax-deductible) You can find out how to become a monthly partner including how to receive your "thank you" gift - our bonus podcast called "Digging Deeper." Go to: https://mm-partners.supercast.com/  ➖➖➖➖➖➖➖➖➖➖ TODAY'S SCRIPTURE: Matthew 13:44–46 - “The kingdom of heaven is like treasure hidden in a field, which a man found and covered up. Then in his joy he goes and sells all that he has and buys that field. [45] “Again, the kingdom of heaven is like a merchant in search of fine pearls, [46] who, on finding one pearl of great value, went and sold all that he had and bought it. (ESV) ➖➖➖➖➖➖➖➖➖➖ FINANCIALLY SUPPORT THE MORNING MINDSET: (not tax-deductible) -- Become a monthly partner: https://mm-gfk-partners.supercast.com/ -- Underwrite one daily episode: https://MorningMindsetMedia.com/daily-sponsor/ -- Give one-time: https://give.cornerstone.cc/careygreen -- Venmo: @CareyNGreen ➖➖➖➖➖➖➖➖➖➖ FOREIGN LANGUAGE VERSIONS OF THIS PODCAST: Subscribe to the SPANISH version: https://MorningMindsetMedia.com/Spanish Subscribe to the CHINESE version: https://MorningMindsetMedia.com/Chinese ➖➖➖➖➖➖➖➖➖➖ CONTACT: Carey@careygreen.com   

Si has estado escuchando los últimos capítulos, te habrás dado cuenta de que he estado sumergido de lleno en el fascinante (y a veces abrumador) mundo de la Inteligencia Artificial. De vez en cuando mi mente me pide a gritos un descanso. Y para mí, descansar significa volver a los orígenes: ponerme a cacharrear con la terminal y escribir código en Rust.En el episodio de hoy quiero cambiar completamente de tercio. Te voy a contar mi experiencia de las últimas semanas saliendo de mi zona de confort con un editor de texto modal que me tiene maravillado en los servidores, y te presentaré cuatro herramientas que he desarrollado en Rust para solucionar pequeños problemas del día a día directamente en la consola de comandos. Así que, ponte cómodo mientras cocinas, vas de camino al trabajo o das un paseo, ¡porque nos vamos directos al turrón!El gran dilema de la terminal: ¿Por qué uso Helix en mis servidores si soy fiel a NeoVim?Los que me seguís desde hace tiempo sabéis que mi editor de cabecera en mi equipo de trabajo habitual es NeoVim. Llevo muchísimos años puliendo mi configuración y, a día de hoy, tengo más de cien plugins instalados que hacen que mi entorno sea espectacular: autocompletado instantáneo, una barra de estado genial, un explorador lateral de archivos y un sistema de análisis de código brutal. Pero, ¿qué pasa cuando me conecto por SSH a mis servidores de producción? Normalmente, estos servidores corren distribuciones Ubuntu de soporte a largo plazo con paquetes más antiguos, por lo que mi configuración de NeoVim moderna empieza a fallar estrepitosamente.Instalar y mantener más de cien plugins en cada uno de los servidores que gestiono es un dolor de cabeza inmanejable. Para solucionar esto sin renunciar a la agilidad de un editor modal en terminal, decidí darle una oportunidad a Helix.Peleándome con la memoria muscularTengo que confesarte que adaptarme a Helix ha sido un ejercicio duro para mis dedos. Cuando llevas años interiorizando los comandos de Vim, tu cerebro automatiza la edición. Mis herramientas caseras desarrolladas en RustAquí te hablo de ellas en detalle:1. mkdr (Markdown Reader/Render): Como todos mis artículos de atareao.es y mis notas personales están guardados en formato Markdown, necesitaba un renderizador potente para leerlos cómodamente desde la consola de comandos. 2. id3cli: Automatizar los metadatos de los episodios de este podcast es crucial para mí. 3. rustled: Para que mi asistente de inteligencia artificial, Cloe, pudiera comunicarse conmigo por voz, necesitaba una herramienta de texto a voz (Text-to-Speech) flexible4. ssrs: Si en algún momento no dispongo de conexión a internet o prefiero que los textos se procesen con absoluta privacidad, recurro a susurros.00:00:00 Introducción y un descanso de la Inteligencia Artificial00:00:56 ¿Qué es Helix y por qué me costó al principio?00:02:27 El problema de llevar NeoVim (y sus plugins) a los servidores00:06:23 Primeros pasos con Helix: el tutor y las diferencias con Vim00:09:34 Pantalla dividida, multicursor y velocidad extrema00:10:54 Temas, resaltado de sintaxis de serie y comandos00:15:12 Mis propias herramientas: renderizar Markdown en terminal con mkdr00:18:40 Navegación estilo Wiki y otras ventajas de mkdr00:20:18 id3click: gestionando etiquetas MP3 sin depender de terceros00:21:52 Dándole voz a Cloe: raslet y la API de Microsoft Edge TTS00:24:35 susurros: generación de voz 100% en local con Rust00:26:55 El futuro: ssrs (Whisper en Rust) y conclusiones00:28:35 Recomendación de podcast: Legalmente Productivos y despedidaMás información y enlaces en las notas del episodio

После више од 25 година проведених у бекству, аустралијски држављанин Џејмс Даламангас (James Dalamangas) ухапшен је у Грчкој, где је, према наводима власти, живео под лажним идентитетом. Аустралија тражи његово изручење због убиства Џорџа Ђианопулуса (George Giannopoulous) у Сиднеју 1999. године, али правни стручњаци упозоравају да би грчки закони и застарелост поступка могли да спрече његов повратак пред аустралијско правосуђе.For more stories, interviews, and news from SBS SERBIAN, explore our podcast collection here.sbs serbian dividing line После више од 25 година проведених у бекству, аустралијски држављанин Џејмс Даламангас (James Dalamangas) ухапшен је у Грчкој, где је, према наводима власти, живео под лажним идентитетом. Аустралија тражи његово изручење због убиства Џорџа Ђианопулуса (George Giannopoulous) у Сиднеју 1999. године, али правни стручњаци упозоравају да би грчки закони и застарелост поступка могли да спрече његов повратак пред аустралијско правосуђе.

Чуруг, мало место у срцу Бачке, ових дана постало је велика филмска сцена. Управо тамо Емир Кустурица започео је снимање свог новог играног филма „Чуружанка“, који аутори описују као причу о човеку, народу и времену у којем живимо. На конференцији за медије уочи прве клапе, редитељ и чланови екипе поручили су да је реч о пројекту који настоји да ухвати дух једног поднебља и сачува приче које обликују колективно памћење. Више о новом филму Емира Кустурице послушајте у овом подкасту.Чуруг, мало место у срцу Бачке, ових дана постало је велика филмска сцена. Управо тамо Емир Кустурица започео је снимање свог новог играног филма „Чуружанка“, који аутори описују као причу о човеку, народу и времену у којем живимо. Више о новом филму Емира Кустурице послушајте у овом подкасту.For more stories, interviews, and news from SBS SERBIAN, explore our podcast collection here.

In this episode of The Team Engagement Podcast, host Shawn Richards speaks with Natalie Spiro, CEO of Drum Cafe North America, about leadership, belonging, and the power of Ubuntu.Natalie explains how leaders can strengthen psychological safety by creating environments built on trust, vulnerability, emotional intelligence, and connection. Drawing on lessons from Nelson Mandela and her South African roots, she shares why belonging is one of the most powerful drivers of engagement.What you'll learn:• What Ubuntu means and why it matters in leadership • How belonging differs from inclusion • Why vulnerability builds psychological safety • The role of emotional intelligence in leadership • How shared experiences strengthen teamsConnect with Natalie:Website: https://www.drumcafenorthamerica.com Rhythm Builders: http://www.rhythmbuilders.org/ LinkedIn: https://www.linkedin.com/in/nataliespiro/

Conflict and displacement do more than destroy homes, livelihoods, and infrastructure. They also fracture the social relationships through which people sustain dignity, identity, and collective life. Yet humanitarian responses often focus primarily on individuals as beneficiaries, measured through categories of vulnerability, targeting, and service delivery. In many conflict settings, this approach can actively erode the communal bonds, local agency, and relational structures that communities themselves rely on to survive and recover. In this post, part of our new series “Delivering for people in an evolving humanitarian landscape”, Eberechukwu Owuamanam, Jesuit scholastic and humanitarian practitioner, draws on experiences from conflict-affected and disaster-affected communities in Nigeria, as well as African relational ontology, to argue that humanitarian action should move beyond models centered primarily on intervention and delivery. Drawing on concepts including Ubuntu, Igwebuike, and the Ijeluwa framework, he argues for approaches grounded in accompaniment, practice that strengthens, rather than replaces, the relational networks through which dignity and recovery become possible.

To become a follower of Jesus, visit: https://MorningMindsetMedia.com/MeetJesus  (NOT a Morning Mindset resource)   ⇒ TODAY'S DAILY SPONSOR: The cost of today’s episode is financially supported by Tonya.   You can sponsor a daily episode of the Morning Mindset too, by going to https://MorningMindsetMedia.com/DailySponsor ➖➖➖➖➖➖➖➖➖➖ TODAY'S SCRIPTURE: Matthew 13:36–43 - Then he left the crowds and went into the house. And his disciples came to him, saying, “Explain to us the parable of the weeds of the field.” [37] He answered, “The one who sows the good seed is the Son of Man. [38] The field is the world, and the good seed is the sons of the kingdom. The weeds are the sons of the evil one, [39] and the enemy who sowed them is the devil. The harvest is the end of the age, and the reapers are angels. [40] Just as the weeds are gathered and burned with fire, so will it be at the end of the age. [41] The Son of Man will send his angels, and they will gather out of his kingdom all causes of sin and all law-breakers, [42] and throw them into the fiery furnace. In that place there will be weeping and gnashing of teeth. [43] Then the righteous will shine like the sun in the kingdom of their Father. He who has ears, let him hear. (ESV) ➖➖➖➖➖➖➖➖➖➖ FINANCIALLY SUPPORT THE MORNING MINDSET: (not tax-deductible) -- Become a monthly partner: https://mm-gfk-partners.supercast.com/ -- Underwrite one daily episode: https://MorningMindsetMedia.com/daily-sponsor/ -- Give one-time: https://give.cornerstone.cc/careygreen -- Venmo: @CareyNGreen ➖➖➖➖➖➖➖➖➖➖ FOREIGN LANGUAGE VERSIONS OF THIS PODCAST: Subscribe to the SPANISH version: https://MorningMindsetMedia.com/Spanish Subscribe to the CHINESE version: https://MorningMindsetMedia.com/Chinese ➖➖➖➖➖➖➖➖➖➖ CONTACT: Carey@careygreen.com   

This show has been flagged as Clean by the host. 01 Introduction This is a follow up to my 4 part series on simple podcasting. In this episode I will discuss a number of experiments with audio filtering. These experiments were inspired by comments by listeners and by other discussions about audio on HPR. I am not an audio expert, so I am doing this partly in order to learn something, but mainly in order to have a bit of fun. I hope that you find this entertaining as well. In a comment on the first episode a listener mentioned something called Solocast and said that the method bore a resemblance to the method that I was using. Here is his comment -------------------- 02 Comment #3 posted on 2026-04-03 07:49:58 by Reto It reminds me about Solocast Hi Whiskeyjack, I really liked your podcast and the topic. I cannot remember about your last, but the sound quality of this one was good on my mobile speakers :) The concept reminded me about the program from Norrist (another host on HPR), while similar does it have some differences HPR 3496 https://hackerpublicradio.org/eps.php?id=3496 As I am not on the future feed, I look forward to your next episode. Cheers, Reto -------------------- 03 End of comment. I did not recall having heard the episode on Solocast, but this sounded very interesting. Solocast was in HPR episode 3496 and was released by norrist on the 27th of December 2021. I listened to that episode and does indeed use use the same basic concept of recording short segments of audio and combining them later instead of creating one big recording and editing it with an audio editor. 04 The main difference is that the work flow that I described involves a lot of manual steps, while Solocast is a short Python program that automates the entire process of presenting your script, recording the segments, combining the segments, and filtering and normalizing the result. I won't try to describe Solocast in detail, instead I would recommend just listening to HPR episode 3496 to get norrist's explanation directly. -------------------- 05 While I wanted to make sure that I credited norrist with having come up with this concept four years before I did, this won't be the focus of this episode. Instead I will talk about audio filtering and various experiments that I ran on several different methods. 06 While looking at the source code for Solocast I noticed that it used a filtering method that resembled one used by Jivetalk, a podcast production program that caught the attention of one of the HPR community news presenters. This method involves taking a sample of quiet audio where there is no speaking taking place, and then using this as input to a noise reduction filter which is applied to the voice recording. The filter subtracts the quiet sample from the voice audio, which should theoretically remove the ambient noise. 07 I decided to apply this method to a number of different audio test recordings which were recorded under different circumstances using different hardware. In this way I could see if the method worked equally well under all circumstances or if there were some sorts of noise which it was suited to and some sorts that were not. 08 While I was at it, I also picked several other filter methods to see how they worked as well. Potentially, some methods may be better under some conditions while other methods were better suited to others. -------------------- 09 I won't present all of my experiments, as that would be a bit dull to listen to. Instead I will describe each method and then present audio samples which illustrate my conclusions. There are two pieces of audio software involved, both of which were also used in my series on simple podcasting. 10 The first is Sox, spelled s o x , and which is short for Sound Exchange. Sox is a command line program for audio manipulation. Sox is Free Software, released under the GPLv2 or later. The other is FFMPEG, which is also a command line program. FFMPEG is also Free Software, released under the LGPL V 2.1 or later, and GPL v 2 or later. Sox actually uses FFMPEG for certain operations. -------------------- 11 Audio Hardware For recording hardware I used the following. 12 Maxwell Headset The first is a cheap Maxwell headset that has an electrical noise problem. Unfortunately I don't have a model number for this headset. I described this hardware, the noise problems that I had with it, and how I created filters to deal with the noise in my series on simple podcasting. Briefly though, this is a headset that has a build in microphone on a boom which allows the microphone to be positioned close to the mouth. It connects with a USB cable. 13 Borne Earpiece and In-line Microphone This is a set of earplugs that go in your ears and connected by wires and a very small microphone built into a small bulge in the cable. It connects using a 3.5mm jack. The model number seems to be BUD250-BL. 14 XTrike Headset This is a gaming headset similar to the Maxwell headset described above. The model number is GH-510 It uses a USB connection. 15 Yanmai Condenser Microphone This is a microphone that comes with a small tripod stand. The model number is SF-910 It uses a 3.5mm audio jack. -------------------- 16 This is not a review of the hardware. Rather, I was trying to create audio problems so that I could test ways to fix them. Therefore, do not take the above list as a recommendation of what to buy. However, you can see that I am not using any expensive audio hardware. If you want to make an HPR podcast, you do not need professional level hardware. -------------------- 17 Audio Samples The audio samples are as follows 18 Quiet This was recorded in a quiet environment at my desk. This is my normal podcasting environment and represents optimal conditions. The main reason for this method is to see how the various filter methods perform when dealing with the electrical noise from the Maxwell headset. 19 Small fan This is a small USB powered table fan approximately 10 cm in diameter. It was located roughly 40 cm or less to the left of the microphone, although this varies depending on the microphone. 20 Traffic This was along a busy street with traffic noise in the background. -------------------- 21 Filter Methods Sox noisered Filter with Audio Profile This method uses the Sox noisered filter. Here is a brief quote from the Sox documentation on this filter. Quote Reduce noise in the audio signal by profiling and filtering. This effect is moderately effective at removing consistent background noise such as hiss or hum. To use it, first run SoX with the noiseprof effect on a section of audio that ideally would contain silence but in fact contains noise - such sections are typically found at the beginning or the end of a recording. End of quote For these tests I recorded a separate noise profile to go with each test. -------------------- 22 Basic Manual Filter This is a basic high and low pass filter pair based on the work I had done in my previous series on simple podcasting. However, based on the tests that I have done for this episode, I decided to get a bit more aggressive in terms of filtering. I use a high pass filter of 120 Hz, and low pass filter of 8 kHz. The each filter is then applied twice to increase its effect. I also added band reject filters to deal specifically with 50 and 60 Hz line noise. -------------------- 23 Complex Manual Filter This uses the manually constructed filter described in my series on simple podcasting. This uses the basic manual filter plus a series of custom bandreject filters to fix specific noise problems with the Maxwell headset. -------------------- 24 FFMPEG afftdn Filter The documentation describes this as "Denoise audio samples with FFT." -------------------- 25 FFMPEG arnndn Filter The documentation describes this as "Reduce noise from speech using Recurrent Neural Networks." -------------------- 26 FFMPEG agate Filter I will pronounce this as "agate" for convenience. The documentation describes this as "A gate is mainly used to reduce lower parts of a signal. This kind of signal processing reduces disturbing noise between useful signals." -------------------- 27 Method The experimental method used was to take each noise sample and apply the different filter methods to it. Where there are parameters which can be adjusted, a script was used to generate a series of different sample files with different parameter values. Not all possible parameters were experimented with, as the goal is to see which method produces what sorts of results under different circumstances, not to get the best possible result for the samples that I happen to have. The method in each case was as follows 28 Step 1 Convert the audio file to FLAC if it is not already in that format. 29 Step 2 Apply a basic high and low pass filter described previously to each sample. The reason for this basic filtering is that it eliminates at least some undesired noise in a fairly fool proof manner, leaving less for the more advanced filter to deal with. This should allow for a better test of the filter under realistic conditions. 30 Step 3 Apply the noise reduction filter being tested. 31 Step 4 Normalize the filtered sample to 17 LUFS according to the EBU R128 standard. The EBU standard is described in my series on simple podcasting. Normalizing adjusts the audio signal to a desired loudness level. This allows for more more consistent sound levels and allows us to hear the results under realistic conditions. I normalize the audio individually for each sample as different recording hardware requires different amounts of loudness adjustment. This is different from the typical podcast process where normalizing takes place as the very last step in the process, but it was necessary in this case. 32 Step 5 Concatenate selected sample audio files to one another to allow for better review and comparing. -------------------- 33 Results The results are grouped according to the type of noise which is being mitigated. This allows for easier comparison of the effectiveness of each technique under different circumstances. I have only picked a few examples of interest out of the numerous experiments that I conducted. -------------------- 34 Quiet Recording Environment with Maxwell Headset This compares how well the various filtering methods work on the noise induced by the electronics in the Maxwell headset. This electronic noise consisted of a noise spike every 1 kHz. This should be representative of electronic noise caused by problems in recording hardware. 35 Manual Filter The manual filter applied a narrow band reject filter every 1 kHz from 1 kHz to 12 kHz. This completely removed the otherwise audible whine caused by the noise. 36 FFMPEG afftdn This method allows for setting a noise floor and then specifying how much the noise floor should be reduced by. The method is very sensitive to getting the noise floor correct for that recording. Set the floor too low and nothing happens. Set it too high, and some distortion results. However it seemed to be moderately effective, but it would seem to require checking it and possibly adjusting it each time it is used. 37 FFMPEG agate This method allows setting a noise floor and then suppressing all sound which falls below that level. This method is very sensitive to getting the noise floor correct for that recording. If set too low (or quiet), it is ineffective. If set too high (or loud), it distorts words which come after a pause, which would typically be between sentences. 38 When set correctly, it completely removes noise in the silences between sentences. However, the noise is still audible during speech. This is because the noise in this case is a higher frequency than normal speech, and so stands out more. It may not be a significant problem for noise which is closer to the main vocal frequency band. Overall, this method is not suitable for this particular problem. 39 FFMPEG arnndn This method used the standard model. A variety of different noise reduction models are available. I only tested it with one, std.rnnn It does not seem to introduce much distortion in the voice signal even with a high amount of mix parameter. 40 However, it is only slightly effective at removing the whine from the signal, even with a high amount of mix parameter. Overall, this method does not appear to be useful for this sort of noise problem. 41 Sox noisered Filter This was effective in removing noise between words, but noise can be heard while words are being spoken. It was better than agate however. 42 Overall Conclusion for the Maxwell Headset Noise When dealing with narrow noise bands that occur at known frequencies, the manual filter is leagues ahead of any of the other tested alternatives. 43 Sample Audio Here is a sample audio recording showing the best overall results The sample is repeated, first with only basic low and high pass filtering, and then with the manually constructed filtering. In the first sample you should hear a high pitched background whine. In the second sample, the high pitched whine is completely removed. 44 (Audio sample inserted here.) -------------------- 45 Traffic Noise This was recorded using the Borne in-line microphone connected to a mobile phone while walking along beside a busy street. This was in dry cool spring weather, and the road was paved with asphalt. This should be reasonably representative of podcasting while walking outdoors in a noisy environment. 46 Basic Manual Filter This used the basic manual filter with high and low pass filters. This did nothing very useful in this case as the signal was already filtered within those limits by the recording hardware anyway. The low sample rate of 8 kHz in the phone limited the upper frequency to 4 kHz. Recall that the sample rate has to be twice the highest frequency that you want to detect. Overall, this is not suitable for this sort of problem. 47 FFMPEG afftdn With a high noise floor, background noise is reduced, but not eliminated. There was not much distortion in the voice. This is only slightly useful for this sort of problem. 48 FFMPEG agate With a high threshhold, background noise is reduced, but not eliminated. There was some distortion in the voice. The background noise could also be heard when speaking, but because the frequency of the background signal was similar to the louder voice signal, it was not as noticeable as it would have been if the two were very different. This is moderately useful for this sort of problem. It may be more useful in situations where the background noise was not quite as loud. 49 FFMPEG arnndn With high amounts of noise reduction, much of the background noise is suppressed, but there is not a lot of distortion in the voice. The background traffic noise is still present, but is significantly less. This offers only a moderate improvement. 50 Sox noisered Filter With small amounts of noise reduction voice is clear but traffic noise is present as a very significant continuous warbling sound in the background. This is no improvement on the original and in fact could be seen as making it worse. With moderate amounts of noise reduction, traffic noise is mostly gone, but there are still various squeaks present. Voice is noticeably distorted. With large amounts of noise reduction, traffic noise is gone but voice is highly distorted. This is moderately useful for this sort of problem, but requires careful adjustment. 51 FFMPEG arnndn Followed by FFMPEG agate This combined two different filters. First, it used arnndn to suppress the background noise to a lower level without much voice distortion. Then it applied the agate filter to suppress the noise levels between words still further. This used the same amount of mix and threshold as was found to be most effective when each of these filters was used on its own. The background noise is almost completely gone while distortion of the voice signal is low. 52 Overall Conclusion for Traffic Noise The arnndn combined with agate filters was the most successful at suppressing background noise while limiting the amount of voice signal distortion. 53 Sample Audio Here is an audio sample for what I felt to be the best overall results, the arnndn filter combined with the agate filter. First is the original audio with basic filtering. This is followed with the same audio after being passed through the arnndn and agate filters. 54 (Insert arnndn plus agate audio sample here) 55 Another Sample Here is a second audio sample showing the Sox noisered profile based filter. I have included this to show how a profile based filter can make things worse if you are not careful how you use it. This repeats the test audio 4 times. The first is with basic filtering only. The second uses low amounts of noise reduction. The third uses moderate amounts of noise reduction. The fourth uses high amounts of noise reduction. 56 (Insert noisered audio sample here) -------------------- 57 Small Fan Noise with Yanmai Microphone This was recorded using the Yanmai condenser microphone. A small fan was set up behind and to the left of the microphone. This is intended to represent situations where someone may have a fan or air conditioner running in the background due to hot weather, or has a loud computer fan. 58 A condenser microphone was used for this test as they are more prone to picking up unwanted noise. However, for practical recording purposes, this sort of microphone is unsuitable for this type of environment. 59 Basic Manual Filter This used the basic manual filter with high and low pass filters. This did nothing useful as the fan noise was in the same frequency range as the voice signal. This may be of more help in cases where the noise is below the 120 Hz cut off used in the low pass filter. 60 FFMPEG afftdn With high amounts of noise reduction, much of the background noise is suppressed, but there is some distortion in the voice. The background fan noise is still present, but is significantly less. Overall this is moderately effective. 61 FFMPEG agate This was effective in removing noise between words, but noise can be heard while words are being spoken. However, this was a small voice sample and it is possible that more problems could occur. With less fan noise than was in this sample this technique may work much better. 62 FFMPEG arnndn With high amounts of noise reduction, much of the background noise is suppressed, but there is not a lot of distortion in the voice. The background fan noise is still present, but is significantly less. Overall this was fairly effective. 63 Sox noisered Filter With small amounts of noise reduction voice is clear but fan noise is present as a slight warbling sound in the background. With moderate amounts of noise reduction, fan noise is gone, but voice is somewhat distorted. With large amounts of noise reduction, fan noise is gone but voice is very distorted. 64 In general this method is fairly successful at dealing with this sort of problem. However, there is a trade off between background noise and voice quality. Getting that trade off correct takes experiment and judgment for each specific situation. 65 FFMPEG arnndn Followed by FFMPEG agate This combined two different filters. First, it used arnndn to suppress the background noise to a lower level without much voice distortion. Then it applied the agate filter to suppress the noise levels between words still further. This got rid of virtually all of the background noise between words. If you listen carefully however, there is a slight buzzing sound in the voice signal. 66 Overall Conclusion for Fan Noise with Yanmai Microphone. Of the methods tested, the arnndn followed by agate filter seemed to offer the most improvement for the least effort and least voice distortion. The arnndn filter on its own seemed the next most preferable to me despite leaving some fan noise in the background. 67 Audio Sample Here is an audio sample for what I felt to be the best overall results, the arnndn filter combined with the agate filter. First is the original audio with basic filtering. This is followed with the same audio after being passed through the arnndn and agate filters. 68 (Insert audio sample here) -------------------- 69 Small Fan Noise Recorded with Headset The following is an observation rather than a filtering technique. When a recording was made using the Maxwell headset and listened to on the headset later or with speakers, the fan was virtually inaudible. When the same recording was listened to with the XTrike headset, it was barely audible with careful listening and only identifiable as a fan because I knew it was there. 70 In situations where there is ambient noise, the best noise reduction technique is probably to move the microphone as close to your mouth as possible, although not directly in front of it, and reduce the gain if there is a gain adjustment in the microphone. This will work far better than trying to remove the noise later. If you are recording an HPR episode at a desk, then an inexpensive headset with boom mike may do the job just fine with minimal effort and expense. -------------------- 71 Conclusions I have tested three noise scenarios - Electronic noise in the audio hardware at specific frequencies. Recording outdoors with an inline microphone in a noisy traffic environment. A noisy fan creating background noise in an office. My conclusions on these are as follows. 72 Electronic Noise in the Audio Hardware at Specific Frequencies If you can use Audacity or some other means to find the frequencies which are causing the noise, the best solution, assuming you don't just replace the hardware, is to manually construct filters to remove those specific frequencies. This is the safest solution in terms of only doing what you tell it to and not producing unexpected surprises some time down the road when something changed in the environment. 73 If you are looking for a fairly automatic filtering method, the Sox noisered profile based filter seems to work fairly well. There is an equivalent filter in ffmpeg, but I did not include that in my experiments as it is harder to use in a script because it does not use a separate noise profile file. 74 Recording Outdoors with an Inline Microphone in a Noisy Traffic Environment. In this situation, the FFMPEG arnndn combined with agate filters seem to be the most successful. The Sox noisered filter may work, but at the cost of more distortion in the voice than is seen in the other methods. 75 An inherent problem with any profile based noise reduction method is that if the background noise is not constant, which it seldom is in that sort of environment, the profile may not represent the background noise which is present later on in the recording. This risks adding more distortion in the voice as the profile and later environments diverge. 76 However, for this application a different microphone that provided a better recording would appear to be advisable. A solution which brought the microphone much closer to the mouth and so resulted in a better ratio of voice signal compared to background noise would appear to be necessary, after which the question of what sort of noise reduction to use would need to be re-evaluated. 77 A Noisy Fan Creating Background Noise in an Office. The Sox noisered filter and the FFMPEG arnndn, afftdn, and agate methods all work to some degree. However, they all need correct selection of parameters to achieve the proper results. When I compared all four methods side by side, I found the arnndn combined with the agate filter to be preferable in terms of the trade off between background noise reduction and distortion of the voice signal. The arnndn filter on its own seemed the next most preferable to me despite leaving some fan noise in the background. 78 However, that is a subjective judgment of a specific noise sample when recorded using a specific microphone. Keep in mind though that many listeners will not be listening in an idea environment. They may be doing things where background noise is present rather than in a very quiet room and so may find a small amount of background noise in the recording to be less of a problem than distortion in the voice signal which may make some words harder to understand. 79 When I conducted the same experiment recorded with the XTrike headset I found that arnndn seemed to offer no noticeable improvement. This may be because the amount of audible fan noise was far less with the XTrike headset to begin with. In other words, there is no single best solution here, and you may have to be prepared to try different options to see which one works in your situation. The important thing is to avoid making things worse by applying filtering that is not appropriate for that situation. The best method may be to use a recording method that doesn't pick up the fan noise to begin with. This can include just using a gaming headset with boom mic. 80 I have one final observation on this point regarding headsets. The Maxwell headset has a foam cover over the microphone while the XTrike headset does not. There was some slight audible wind buffeting noise picked up by the XTrike headset that was not observed with the Maxwell. This seemed to cause particular problems with the Sox noisered profile based filter, as this noise was irregular and after filtering would show up as a warbling sound. If you use a headset and plan to use it in conjunction with a fan, it may be advisable to apply some sort of wind cover over it. 81 Combining Complex Filters In several cases I found that combining several complex filters offered better results than using any single one on its own. The basic strategy though is to first use a method which is good at reducing undesirable noise without introducing excessive voice distortion. Then apply a different filter which is good at reducing small levels of background noise to an even lower level while affecting the voice signal as little as possible. This uses the relative strengths of different filter types to compensate for the weaknesses of the other. 82 Different combinations of filters were most effective for different types of problems. I did not try all possible combinations however. Perhaps a further exploration of this would be worth doing in a later podcast. -------------------- 83 Case Study - Noise in Another HPR Episode Audio In the comments to my second episode on Simple Podcasting (which is HPR4618) where I discussed basic filtering, a couple of listeners brought up an interesting point. Antoine mentioned "declicking" in a post. -------------------- Vance replied 84 Antoine, thanks for mentioning the click removal capability in Audacity! While I already knew about its noise removal filter, I wasn't aware it also had click removal. It might have helped me for HPR4637, where some sort of electromagnetic signal was picked up by my microphone/recorder, a Zoom H2 (the tapping sound was *not* present in the room where I recorded). While click removal does seem to distort speech when applied to it (though to my ears, it doesn't sound as weird as when noise removal is done with speech), I could have applied the filter only to the pauses, where the "tapping" is most noticeable. I will consider doing this in the event that I'm not able to eliminate the source of interference in the future, which would be the best way to go. -------------------- 85 End of quote. I found this interesting as it sounded like another audio problem that could be experimented with. I found a sample of the episode which had the clicks and cut a copy of that segment out to experiment with. These sounds are a series of clicks, or "ticks" would be another way to describe them, in the quiet part of the audio between sentences or phrases. 86 Next I used Audacity to study the sound spectrum. I found a massive 60 Hz noise spike. However, my speakers won't reproduce sound that low, and filtering this out didn't reduce the clicks. The clicks turned out to be bursts of noise across the 100 to 800 Hz band, which is right where the main vocal band also is. This makes it difficult to filter based on frequency. The most promising approach would seem to be to filter based on sound level. 87 I tried all of the individual audio filter techniques mentioned in the other experiments above. None produced satisfactory results except for agate, which makes quiet audio quieter. This completely suppressed the clicks. However, when applied to the entire episode it also distorted the start of a few sentences which began with single short syllables. 88 The agate filter has a number of parameters which could be adjusted to try to deal with these cases, although I did not spend the time to do so. Another solution to this distortion problem is to simply not apply the filter to those parts of the audio which are affected. If you record the audio as a series of small individual files, it would be easy enough to filter before concatenating the files together while skipping those files which contain audio which is not suited to this method. Here are the results of the experiments. 89 FFMPEG afftdn This reduces the size of of the ticks, but they are still present. However, they may be reduced to a level which is considered acceptable. 90 FFMPEG agate This was very effective in removing ticks with the right parameters. However, it can introduce some voice distortion in the form of cutting out the start of a few sentences which began with single short syllables. This can be corrected with a very short "attack" parameter to turn off the filter when it detects sound above a set threshhold. 91 FFMPEG arnndn This was relatively ineffective. 92 Sox noisered This was effective in removing the sounds between phrases. However, it introduces some distortion in the voice signal. 93 I also tried combining filters. FFMPEG afftdn Followed by agate This combined two different filters. First, it used afftdn to suppress the background noise to a lower level without much voice distortion. Then it applied the agate filter to suppress the noise levels between words still further. This got rid of virtually all of the background noise between words. 94 Here is a short audio sample from HPR4637. First is the unfiltered audio. Second is the filtered audio using the combined afftdn plus agate filters. Since the "clicks" are very quiet, you may not hear them unless you are in quiet environment. Quite a few listeners would probably not be aware of the perceived audio problem in this episode if it had not been discussed here. None the less, it makes for an interesting experiment. Here it is: 95 (Insert sample audio here) 96 Overall Conclusion for Noise "Ticks" The afftdn combined with agate filters seemed to offer the best overall results when used with the right parameters. However, the author, Vance, speaks very clearly and evenly, and so his voice is ideally suited for use with this filter. Another author's voice may not be as suited to this filter. 97 The Sox noisered profile based filter offers various degrees of trade off between suppressing noise and distorting the voice signal. As to whether this is an acceptable trade off depends on the particular voice in question and how easily understood it is under normal circumstances with out additional distortion. The afftdn filter may be a fairly safe filter to use on its own while producing acceptable if not perfect output. -------------------- 98 Overall Conclusions I have presented only a few of the experiments that I conducted. My overall conclusion after all of this is that there is no universal audio filtering method that works best in all circumstances. There are instead a number of tools in the toolbox, and picking the right one for the job takes a bit of trial and error. 99 However, if you have a repeatable recording environment, then once you have decided what tool you need you should create a script for it so you can have a repeatable processing setup. These conclusions apply to voice podcasting. Music has a different set of criteria and techniques that work well with basic voice podcasting may produce poor results when applied to music which has a broader range of frequency and just as importantly, a broad range of loudness. 100 If you are used to using filters and effects in Audacity, many of the settings on those correspond to arguments in the command line version of ffmpeg. It is worth learning how to use ffmpeg directly to automate your recording process. 101 The experiments that I conducted were greatly assisted by writing scripts which created multiple versions of audio files with different settings, thereby allowing me to try many different alternatives relatively easily. It also allowed me to concatenate different audio samples into a single audio file and so listen to different versions in quick succession, making subjective listening judgments more reliable. 102 It is important to keep in mind in all this that I am playing with audio filtering mainly to have fun. It is not necessary to do any of this if you think your podcast episode sounds just fine without it. So, don't let any of what I have talked about in all this discourage you from simply recording a podcast and sending it in as is. I will include copies of the filters I have described here in the show notes. -------------------- 103 Related Matters Hardware Characterization Using Audio Signals I found it useful to characterize the hardware that I had in order to understand its limitations better before starting the experiments. This involved playing a signal out through a set of speakers and then recording it through a microphone. 104 I used two types of signal for this. One is type of signal is known as a "chirp" signal. This is a sine wave that steadily increases in frequency as it sweeps across the audio spectrum. The standard audio range is 20 Hz to 20 kHz, but for my purposes I limited the upper frequency to 15 kHz to save time as anything beyond that is not very useful for voice podcasts. 105 By recording the chirp signal with a microphone and analyzing it with a Fourier transform, I could quickly see what each device was capable of. See my previous series on simple podcasting for an explanation of what a Fourier transform is and what software to use to see the results of it. Here is a chirp signal. 106 (Insert Audio Sample Here) 107 In addition to a chirp signal, I also used a series of simple tones of specific frequencies. By using these tones of known frequency I could gain an understanding of the limitations of my speakers and headphones, and just as importantly, my own ears. By understanding these limitations I was able to narrow the range of frequencies that I need to deal with quite considerably and set the high and low pass filters accordingly. These tones are a series of flac files generated with ffmpeg. 108 Here is a a sample audio tone at a 2 kHz frequency. 109 (Insert Audio Sample Here) 110 Copies of the script to create the chirp signal and the tones are in the show notes. -------------------- 111 A "Not a Review" of some of the Hardware that I Used I said that I would not do a review of the hardware that I used. However, some of it deserves mention for either how good or bad it was. I will record each section using the hardware being described. 112 Maxwell Headset This is my original recording hardware. This is a headset with boom mic and USB connection. There is no model number on it, so I don't know the model. This probably cost somewhere between 10 and 25 dollars. The earpieces sit on the ears and do not fully enclose them. This makes it light weight and comfortable to wear for extended periods of time. It has a problem however with electronic noise consisting of a noise spike every 1 kHz. I was able to fix this with a series of filters using FFMPEG. Fixing this problem is what got me started in understanding audio. I will probably continue to use this headset to make podcasts. 113 XTrike Headset, Model GH-510 This is also a headset with boom mic and USB connection. I purchased this headset for the purposes of experimentation for this podcast episode. It cost $12.88. I found it to be surprisingly good for the price. It has fully enclosed ear pieces however, which may make it uncomfortable to wear in hot weather. I may try doing some of my future podcasting using this headset. 114 Borne Earpiece and In-line Microphone This is a set of earplugs that go in your ears and connected by wires and a very small microphone built into a small bulge in the cable. It connects using a 3.5mm jack. The model number seems to be BUD250-BL. It cost approximately $3.00. I bought several sets of these and use them for listening to podcasts from an MP3 player. The ear pieces are pretty good for listening with. The microphone works reasonably well when used in a quiet location. It is less good when in a noisy environment. It is very important however to secure the microphone to your lapel or other location reasonably near your mouth and to point the microphone (that is the small hole) outwards and not simply let it dangle freely. If you let it just hang, you will get poor quality and inconsistent audio. 115 Yanmai Condenser Microphone, Model SF-910 I purchased this microphone for the purposes of experimentation for this podcast episode. It cost $3.88. As it is a condenser microphone, it is prone to picking up background noise more and as such is probably not a good choice for podcasting by single person sitting at a desk. However, it is none the less a surprisingly good microphone for surprisingly little money. 116 iCan USB Microphone, Model M-306 I purchased this microphone for the purposes of experimentation for this podcast episode. This has a USB connection. This was also relatively inexpensive at $7.99, or roughly twice the price of the Yanmai microphone. Unlike the Yanmai however, it is absolutely wretched. There was such a high degree of distortion when recording through it that I found I could not use it in the fan experiments which I had bought it for. I ended up buying the Yanmai microphone for that instead. -------------------- 117 Easy Effects Software The techniques described so far all involve recording audio files and then processing them later to produce the desired result. This is probably the simplest and most straightforward way of doing things if you are making a typical podcast. However, there may be instances where you want to apply filtering or other effects on the "live" signal immediately and not after the fact. 118 There is audio software which can hook into your computer's audio system and do this with a live signal. For Linux, there is a package called "Easy Effects". This is Free Software and comes under a GPL V3 or later license. I installed it from the Debian repository under Ubuntu 24.04. 119 You can create various filters and even chain them together to combine them. I played with it a bit but do not know enough about it to discuss it seriously at this time. However, I thought it would be worth mentioning for the sake of those who may wish to try it out themselves. -------------------- 120 Episode Conclusion After having had some fun with audio and listening to other HPR members talk about audio, I thought I would have some more fun by playing with noise reduction filters. I have no intention of becoming an audio professional, but by doing some experiments I learned a few things and had some fun doing it. I hope that the rest of you found this interest as well. I will see you all again later in another episode of Hacker Public Radio. -------------------- Scripts Basic Filter This shows basic high and low pass filters ( 120 Hz and 8 kHz respectively) and band reject filters for 50 and 60 Hz. # The high and low pass filters. hlpfil="highpass=f=120, highpass=f=120, lowpass=f=8000, lowpass=f=8000" # Band reject filters filter for 60Hz and another for 50Hz. linefil="bandreject=f=60:width_type=h:w=20, bandreject=f=50:width_type=h:w=20" # Filter using ffmpeg. ffmpeg -i inputfile.flac -af "$hlpfil, $linefil" outputname.flac # ====================================================================== afftdn Filter # noisefloor should be between 20 and 80. noisefloor=$1 # Run the noise reduction. ffmpeg -i testrec-filtered.flac -af "afftdn=nr=10:nf=-""$noisefloor" tmptestrec.flac # ====================================================================== agate Filter # threshold shoud be between 10 and 80. threshold=$1 # Run the noise reduction. ffmpeg -i testrec-filtered.flac -af "agate=threshold=-"$threshold"dB:range=-60dB" tmptestrec.flac # ====================================================================== arnndn Filter # mix should be between 0 and 1. mix=$1 # Run the noise reduction. ffmpeg -i testrec-filtered.flac -af 'arnndn=model=std.rnnn:mix='"$mix" tmptestrec.flac # ====================================================================== sox noisered Filter # Generate the noise profile from a sample of background noise. sox silencefiltered.flac -n noiseprof noise.prof # nramount shoudl be between 0 and 1 sox testrec-filtered.flac noiseout-testrec.flac noisered noise.prof "$nramount" # ====================================================================== Manual Filter for Maxwell Headset Noise # Create a series of band reject filters, from 1 kHz to 11 kHz. ftemplate="bandreject=f=%s000:width_type=h:w=100" kilospikefil=$( seq 1 11 | xargs printf "$ftemplate," ) # Using ffmpeg ffmpeg -i testrec-filtered.flac -af "$kilospikefil" tmptestrec.flac # ====================================================================== Create a "chirp" signal # Start frequency. f0=20 # End frequency. f1=15000 # Duration of signal. duration=10 ffmpeg -f lavfi -i "aevalsrc=sin(2 * PI * (0.5 * ($f1 - $f0)/$duration * t^2 + ($f0 * t))):s=44100:d=$duration" -c:a flac -af "aformat=sample_fmts=s16" chirp.flac # ====================================================================== Generate Audio Tones toneout () { printf -v freqval "%05d" $1 ffmpeg -f lavfi -i "sine=frequency=$freqval:duration=3" tmptone.flac # Normalize ffmpeg -i tmptone.flac -af loudnorm=I=-17:TP=-2.0:LRA=4.0 -ar 44.1k -sample_fmt s16 tone$freqval.flac rm tmptone.flac } # List of frequencies in hertz. freqlist="50 60 100 120 130 140 150 160 170 200 500 1000 2000 3000 4000 5000 6000 7000 8000 9000" for freq in $( echo $freqlist ); do toneout $freq done # ====================================================================== Provide feedback on this episode.

p To become a follower of Jesus, visit: https://MorningMindsetMedia.com/MeetJesus  (NOT a Morning Mindset resource)   ⇒ Listen to our other podcasts: https://MorningMindsetMedia.com ➖➖➖➖➖➖➖➖➖➖ TODAY'S SCRIPTURE: Matthew 13:31–33 - He put another parable before them, saying, “The kingdom of heaven is like a grain of mustard seed that a man took and sowed in his field. [32] It is the smallest of all seeds, but when it has grown it is larger than all the garden plants and becomes a tree, so that the birds of the air come and make nests in its branches.” [33] He told them another parable. “The kingdom of heaven is like leaven that a woman took and hid in three measures of flour, till it was all leavened.” (ESV) ➖➖➖➖➖➖➖➖➖➖ FINANCIALLY SUPPORT THE MORNING MINDSET: (not tax-deductible) -- Become a monthly partner: https://mm-gfk-partners.supercast.com/ -- Underwrite one daily episode: https://MorningMindsetMedia.com/daily-sponsor/ -- Give one-time: https://give.cornerstone.cc/careygreen -- Venmo: @CareyNGreen ➖➖➖➖➖➖➖➖➖➖ FOREIGN LANGUAGE VERSIONS OF THIS PODCAST: Subscribe to the SPANISH version: https://MorningMindsetMedia.com/Spanish Subscribe to the CHINESE version: https://MorningMindsetMedia.com/Chinese ➖➖➖➖➖➖➖➖➖➖ CONTACT: Carey@careygreen.com   

To become a follower of Jesus, visit: https://MorningMindsetMedia.com/MeetJesus  (NOT a Morning Mindset resource) ➖➖➖➖➖➖➖➖➖➖ ⇒Check out all of Carey's books - for adults and kids, fiction and non-fiction : https://CareyGreen.com/books ➖➖➖➖➖➖➖➖➖➖ TODAY'S SCRIPTURE: Matthew 13:18–23 - “Hear then the parable of the sower: [19] When anyone hears the word of the kingdom and does not understand it, the evil one comes and snatches away what has been sown in his heart. This is what was sown along the path. [20] As for what was sown on rocky ground, this is the one who hears the word and immediately receives it with joy, [21] yet he has no root in himself, but endures for a while, and when tribulation or persecution arises on account of the word, immediately he falls away. [22] As for what was sown among thorns, this is the one who hears the word, but the cares of the world and the deceitfulness of riches choke the word, and it proves unfruitful. [23] As for what was sown on good soil, this is the one who hears the word and understands it. He indeed bears fruit and yields, in one case a hundredfold, in another sixty, and in another thirty.” (ESV) ➖➖➖➖➖➖➖➖➖➖ FINANCIALLY SUPPORT THE MORNING MINDSET: (not tax-deductible) -- Become a monthly partner: https://mm-gfk-partners.supercast.com/ -- Underwrite one daily episode: https://MorningMindsetMedia.com/daily-sponsor/ -- Give one-time: https://give.cornerstone.cc/careygreen -- Venmo: @CareyNGreen ➖➖➖➖➖➖➖➖➖➖ FOREIGN LANGUAGE VERSIONS OF THIS PODCAST: Subscribe to the SPANISH version: https://MorningMindsetMedia.com/Spanish Subscribe to the CHINESE version: https://MorningMindsetMedia.com/Chinese ➖➖➖➖➖➖➖➖➖➖ CONTACT: Carey@careygreen.com   

To become a follower of Jesus, visit: https://MorningMindsetMedia.com/MeetJesus  (NOT a Morning Mindset resource) ➖➖➖➖➖➖➖➖➖➖ TODAY'S SCRIPTURE: Matthew 13:10–13 - Then the disciples came and said to him, “Why do you speak to them in parables?” [11] And he answered them, “To you it has been given to know the secrets of the kingdom of heaven, but to them it has not been given. [12] For to the one who has, more will be given, and he will have an abundance, but from the one who has not, even what he has will be taken away. [13] This is why I speak to them in parables, because seeing they do not see, and hearing they do not hear, nor do they understand. (ESV) ➖➖➖➖➖➖➖➖➖➖ FINANCIALLY SUPPORT THE MORNING MINDSET: (not tax-deductible) -- Become a monthly partner: https://mm-gfk-partners.supercast.com/ -- Underwrite one daily episode: https://MorningMindsetMedia.com/daily-sponsor/ -- Give one-time: https://give.cornerstone.cc/careygreen -- Venmo: @CareyNGreen ➖➖➖➖➖➖➖➖➖➖ FOREIGN LANGUAGE VERSIONS OF THIS PODCAST: Subscribe to the SPANISH version: https://MorningMindsetMedia.com/Spanish Subscribe to the CHINESE version: https://MorningMindsetMedia.com/Chinese ➖➖➖➖➖➖➖➖➖➖ CONTACT: Carey@careygreen.com   

Flathub maintainers are sick of AI, Windows broke Jeff's laptop, and Xorg has even more vulnerabilities. Cloudflare covers in glorious detail a bug where Idle wasn't idle, Ardour gets even better with 9.7, and Valve is continuing to improve the gaming on Linux experience. Windows adds rust coreutils, and Ubuntu is looking to the future. For tips, we have Croft, a tui clone of vscode; cachy-chroot, an easier way to rescue your system; mv, the simple command to move files; and resolvectl, the best tool for peering into systemd-resolved. You can find the show notes at https://bit.ly/4odmUUo and happy Linuxing! Host: Jonathan Bennett Co-Hosts: Rob Campbell, Jeff Massie, and Ken McDonald Download or subscribe to Untitled Linux Show at https://twit.tv/shows/untitled-linux-show Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: bitwarden.com/twit

Flathub maintainers are sick of AI, Windows broke Jeff's laptop, and Xorg has even more vulnerabilities. Cloudflare covers in glorious detail a bug where Idle wasn't idle, Ardour gets even better with 9.7, and Valve is continuing to improve the gaming on Linux experience. Windows adds rust coreutils, and Ubuntu is looking to the future. For tips, we have Croft, a tui clone of vscode; cachy-chroot, an easier way to rescue your system; mv, the simple command to move files; and resolvectl, the best tool for peering into systemd-resolved. You can find the show notes at https://bit.ly/4odmUUo and happy Linuxing! Host: Jonathan Bennett Co-Hosts: Rob Campbell, Jeff Massie, and Ken McDonald Download or subscribe to Untitled Linux Show at https://twit.tv/shows/untitled-linux-show Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: bitwarden.com/twit

To become a follower of Jesus, visit: https://MorningMindsetMedia.com/MeetJesus  (NOT a Morning Mindset resource) ➖➖➖➖➖➖➖➖➖➖ TODAY'S SCRIPTURE: Matthew 12:22–28 - Then a demon-oppressed man who was blind and mute was brought to him, and he healed him, so that the man spoke and saw. [23] And all the people were amazed, and said, “Can this be the Son of David?” [24] But when the Pharisees heard it, they said, “It is only by Beelzebul, the prince of demons, that this man casts out demons.” [25] Knowing their thoughts, he said to them, “Every kingdom divided against itself is laid waste, and no city or house divided against itself will stand. [26] And if Satan casts out Satan, he is divided against himself. How then will his kingdom stand? [27] And if I cast out demons by Beelzebul, by whom do your sons cast them out? Therefore they will be your judges. [28] But if it is by the Spirit of God that I cast out demons, then the kingdom of God has come upon you. (ESV) ➖➖➖➖➖➖➖➖➖➖ FINANCIALLY SUPPORT THE MORNING MINDSET: (not tax-deductible) -- Become a monthly partner: https://mm-gfk-partners.supercast.com/ -- Underwrite one daily episode: https://MorningMindsetMedia.com/daily-sponsor/ -- Give one-time: https://give.cornerstone.cc/careygreen -- Venmo: @CareyNGreen ➖➖➖➖➖➖➖➖➖➖ FOREIGN LANGUAGE VERSIONS OF THIS PODCAST: Subscribe to the SPANISH version: https://MorningMindsetMedia.com/Spanish Subscribe to the CHINESE version: https://MorningMindsetMedia.com/Chinese ➖➖➖➖➖➖➖➖➖➖ CONTACT: Carey@careygreen.com   

To become a follower of Jesus, visit: https://MorningMindsetMedia.com/MeetJesus  (NOT a Morning Mindset resource)   ⇒ TODAY'S DAILY SPONSOR: Alex, listener to the MM.   You can sponsor a daily episode of the Morning Mindset too, by going to https://MorningMindsetMedia.com/DailySponsor ➖➖➖➖➖➖➖➖➖➖ TODAY'S SCRIPTURE: Matthew 11:11–15 - Truly, I say to you, among those born of women there has arisen no one greater than John the Baptist. Yet the one who is least in the kingdom of heaven is greater than he. [12] From the days of John the Baptist until now the kingdom of heaven has suffered violence, and the violent take it by force. [13] For all the Prophets and the Law prophesied until John, [14] and if you are willing to accept it, he is Elijah who is to come. [15] He who has ears to hear, let him hear. (ESV) ➖➖➖➖➖➖➖➖➖➖ FINANCIALLY SUPPORT THE MORNING MINDSET: (not tax-deductible) -- Become a monthly partner: https://mm-gfk-partners.supercast.com/ -- Underwrite one daily episode: https://MorningMindsetMedia.com/daily-sponsor/ -- Give one-time: https://give.cornerstone.cc/careygreen -- Venmo: @CareyNGreen ➖➖➖➖➖➖➖➖➖➖ FOREIGN LANGUAGE VERSIONS OF THIS PODCAST: Subscribe to the SPANISH version: https://MorningMindsetMedia.com/Spanish Subscribe to the CHINESE version: https://MorningMindsetMedia.com/Chinese ➖➖➖➖➖➖➖➖➖➖ CONTACT: Carey@careygreen.com   

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Nandi Edouardo. Guest: Nandi EdouardoHost: Rushion McDonald (Money Making Conversations Masterclass)Focus: Education innovation, entrepreneurship, and building Simple View Academy (SVA) Nandi Edouardo, founder of Simple View Academy, shares her journey creating a charter school in Georgia designed to integrate entrepreneurship, financial literacy, and project-based learning into traditional education. Her mission centers on empowering students—especially Black and brown youth—to become creators, innovators, and financially literate leaders.

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Nandi Edouardo. Guest: Nandi EdouardoHost: Rushion McDonald (Money Making Conversations Masterclass)Focus: Education innovation, entrepreneurship, and building Simple View Academy (SVA) Nandi Edouardo, founder of Simple View Academy, shares her journey creating a charter school in Georgia designed to integrate entrepreneurship, financial literacy, and project-based learning into traditional education. Her mission centers on empowering students—especially Black and brown youth—to become creators, innovators, and financially literate leaders.

To become a follower of Jesus, visit: https://MorningMindsetMedia.com/MeetJesus  (NOT a Morning Mindset resource)   ⇒ TELL SOMEONE ABOUT THE MORNING MINDSET - Your personal recommendation can make an eternal difference in the lives of the people you know! STEP ONE: Go to http://YourMorningMindset.com  STEP TWO: Share that page with someone you know! ➖➖➖➖➖➖➖➖➖➖ TODAY'S SCRIPTURE: Matthew 10:5–8 - These twelve Jesus sent out, instructing them, “Go nowhere among the Gentiles and enter no town of the Samaritans, [6] but go rather to the lost sheep of the house of Israel. [7] And proclaim as you go, saying, ‘The kingdom of heaven is at hand.’ [8] Heal the sick, raise the dead, cleanse lepers, cast out demons. You received without paying; give without pay. (ESV) ➖➖➖➖➖➖➖➖➖➖ FINANCIALLY SUPPORT THE MORNING MINDSET: (not tax-deductible) -- Become a monthly partner: https://mm-gfk-partners.supercast.com/ -- Underwrite one daily episode: https://MorningMindsetMedia.com/daily-sponsor/ -- Give one-time: https://give.cornerstone.cc/careygreen -- Venmo: @CareyNGreen ➖➖➖➖➖➖➖➖➖➖ FOREIGN LANGUAGE VERSIONS OF THIS PODCAST: Subscribe to the SPANISH version: https://MorningMindsetMedia.com/Spanish Subscribe to the CHINESE version: https://MorningMindsetMedia.com/Chinese ➖➖➖➖➖➖➖➖➖➖ CONTACT: Carey@careygreen.com   

fatgid, why zfs is ideal for media production, the CTF scene is dead, private repo behind TLS, and more... NOTES This episode of BSDNow is brought to you by Tarsnap and the BSDNow Patreon Headlines fatgid Why ZFS is the ideal filesystem for multi-user media production News Roundup The CTF scene is dead A Private pkg Repo Behind Mutual TLS This blog ran on Ubuntu 16.04 for 10 years. I migrated it to FreeBSD Tarsnap This weeks episode of BSDNow was sponsored by our friends at Tarsnap, the only secure online backup you can trust your data to. Even paranoids need backups. Send questions, comments, show ideas/topics, or stories you want mentioned on the show to feedback@bsdnow.tv Join us and other BSD Fans in our BSD Now Telegram channel

Документарно-играни филм РТС „Љубавни пар из саркофага“, ауторке и уреднице Милице Поповић, освојио је престижно Специјално признање за сценарио на 13. Међународном фестивалу археолошког и културног документарног филма „Агон“, одржаном у Атини. Реч је о значајном међународном успеху, ако се има у виду да је ове године на конкурс фестивала пристигао рекордан број од чак 1.300 филмова из 114 земаља света. У тако снажној конкуренцији, признање је припало продукцији Научне редакције Радио-телевизије Србије, што представља велико признање не само ауторском тиму већ и домаћој документарној продукцији у целини.For more stories, interviews, and news from SBS SERBIAN, explore our podcast collection here.

To become a follower of Jesus, visit: https://MorningMindsetMedia.com/MeetJesus  (NOT a Morning Mindset resource)   ⇒ Get a copy of the MM Companion Journal: https://MorningMindsetMedia.com/journal ➖➖➖➖➖➖➖➖➖➖ TODAY'S SCRIPTURE: Matthew 9:35–38 - And Jesus went throughout all the cities and villages, teaching in their synagogues and proclaiming the gospel of the kingdom and healing every disease and every affliction. [36] When he saw the crowds, he had compassion for them, because they were harassed and helpless, like sheep without a shepherd. [37] Then he said to his disciples, “The harvest is plentiful, but the laborers are few; [38] therefore pray earnestly to the Lord of the harvest to send out laborers into his harvest.” (ESV) ➖➖➖➖➖➖➖➖➖➖ FINANCIALLY SUPPORT THE MORNING MINDSET: (not tax-deductible) -- Become a monthly partner: https://mm-gfk-partners.supercast.com/ -- Underwrite one daily episode: https://MorningMindsetMedia.com/daily-sponsor/ -- Give one-time: https://give.cornerstone.cc/careygreen -- Venmo: @CareyNGreen ➖➖➖➖➖➖➖➖➖➖ FOREIGN LANGUAGE VERSIONS OF THIS PODCAST: Subscribe to the SPANISH version: https://MorningMindsetMedia.com/Spanish Subscribe to the CHINESE version: https://MorningMindsetMedia.com/Chinese ➖➖➖➖➖➖➖➖➖➖ CONTACT: Carey@careygreen.com   

Добре вести за милионе најниже плаћених радника у Аустралији – од 1. јула следи им повећање плата од 4,75 одсто. Око 2,8 милиона запослених, односно 21,1 одсто запослених прима минималну плату и сви ће директно бити обухваћени овом одлуком, коју је донела Комисија за фер односе на радном месту у оквиру годишње ревизије минималних зарада. Најниже платне категорије биће повећане, па ће најниже плаћени радници добити ефективно повећање од око 6 одсто, што се односи на око 100.000 запослених. Нова минимална зарада биће 1.004,90 долара недељно (26,44 долара по сату), док ће почетна минимална зарада за период до шест месеци износити 978,10 долара недељно (25,70 долара по сату). Док синдикати тврде да ће повећање донети преко потребно олакшање домаћинствима, послодавци упозоравају на нови притисак на привреду.For more stories, interviews, and news from SBS SERBIAN, explore our podcast collection here.

To become a follower of Jesus, visit: https://MorningMindsetMedia.com/MeetJesus  (NOT a Morning Mindset resource) ➖➖➖➖➖➖➖➖➖➖ TODAY'S SCRIPTURE: Matthew 8:5–13 - When he had entered Capernaum, a centurion came forward to him, appealing to him, [6] “Lord, my servant is lying paralyzed at home, suffering terribly.” [7] And he said to him, “I will come and heal him.” [8] But the centurion replied, “Lord, I am not worthy to have you come under my roof, but only say the word, and my servant will be healed. [9] For I too am a man under authority, with soldiers under me. And I say to one, ‘Go,’ and he goes, and to another, ‘Come,’ and he comes, and to my servant, ‘Do this,’ and he does it.” [10] When Jesus heard this, he marveled and said to those who followed him, “Truly, I tell you, with no one in Israel have I found such faith. [11] I tell you, many will come from east and west and recline at table with Abraham, Isaac, and Jacob in the kingdom of heaven, [12] while the sons of the kingdom will be thrown into the outer darkness. In that place there will be weeping and gnashing of teeth.” [13] And to the centurion Jesus said, “Go; let it be done for you as you have believed.” And the servant was healed at that very moment. (ESV) ➖➖➖➖➖➖➖➖➖➖ FINANCIALLY SUPPORT THE MORNING MINDSET: (not tax-deductible) -- Become a monthly partner: https://mm-gfk-partners.supercast.com/ -- Underwrite one daily episode: https://MorningMindsetMedia.com/daily-sponsor/ -- Give one-time: https://give.cornerstone.cc/careygreen -- Venmo: @CareyNGreen ➖➖➖➖➖➖➖➖➖➖ FOREIGN LANGUAGE VERSIONS OF THIS PODCAST: Subscribe to the SPANISH version: https://MorningMindsetMedia.com/Spanish Subscribe to the CHINESE version: https://MorningMindsetMedia.com/Chinese ➖➖➖➖➖➖➖➖➖➖ CONTACT: Carey@careygreen.com   

The economy was designed to serve life. At some point, it forgot. This article traces how that happened - through colonial extraction, currency manipulation, and centuries of treating the Earth as an inexhaustible resource - and more importantly, what is already being built in its place. It is also worth naming what is being built against it. Central Bank Digital Currencies (CBDC), digital identity systems, and the broader technocratic agenda advancing through institutions like the World Economic Forum represent a competing vision of the future - one where economic participation is surveilled, programmable, and ultimately controlled by the few. That is not a regenerative economy. It is the extractive economy in a new interface. The regenerative economy moves in the opposite direction: toward decentralization, sovereignty, reciprocity, and life. From Time Banks in New York to community currencies in Ecuador to worker cooperatives in Spain, it is not a future vision. It is a present reality, waiting to be joined. And while blockchain and regenerative finance are real and important parts of this picture, the regenerative economy is bigger than any single technology. It is a whole-systems redesign - cultural, spiritual, and practical - of how human beings relate to value, to each other, and to all living beings on Earth.A System Feature | Designed to ExtractA president steps up to the podium in Manila, praising the economic progress their country has fulfilled after, what many of us call “ the plandemic”. Outside the auditorium, a young mother carries her child on her hip, knocking on car windows at a red light, eyes down, asking for alms. The applause inside the hall doesn't reach her. It never does.The president says the currency has strengthened. That prices are coming down. Meanwhile, across the city, a farmer named Rodrigo is standing in the field he has worked for thirty years, calculating whether this harvest will cover the loan he took out before the last typhoon swept his crop away. It didn't. This is not an exception to the economic system. It is a feature of it. A reflection of a culture that does not care about those actually in need.Many nations measure their health through GDP - Gross Domestic Product - which essentially dictates whether or not an economy is “progressing.” It runs under one quiet assumption: that the Earth will keep giving. Indefinitely. Without asking anything in return. That before the calculations around supply, demand, and the balance of everything else, all the raw materials are already ideally supplied.The Earth is answering. Typhoons that once came once a generation now arrive like clockwork. Harvests that fed communities for centuries are failing across the Andes, the Sahel, the Mekong delta. The seasons that indigenous peoples read as living calendars have become erratic, unreliable, grieving. None of this is random. It is a response - accurate and proportional - to an economy built on the assumption that extraction has no cost.If we were truly “abundant” financially, we would not have billions of people at risk of starvation, homelessness, and other manifestations of neglect and poverty. The economy was supposed to serve all life. It has forgotten this. And in forgetting it, it has begun to abandon human life itself.The Story We InheritedMoney was supposed to be a promissory note for the gold reserves one actually held. The paper was a symbol - pointing at something real, something held in a vault somewhere, something that could be touched.Then the notes began circulating. And the longer they circulated, the more people forgot what they were pointing to. Eventually, the circulation gave rise to the idea of turning the notes into currency itself. The symbol became the standard. It became backed not by gold, but by story - a story so strong, so repeated, so programmed into every transaction of daily life, that we began to mistake it for the truth.We placed a middleman between ourselves and our needs. And somewhere along the way, we forgot we had done it. Perhaps, by design. Here is what the story never tells you: the gold itself did not arrive innocently.In 1302, Pope Boniface VIII issued Unam Sanctam, declaring papal authority supreme over all earthly power - making the Earth itself, philosophically, ownable. A century and a half later, that claim became economic policy. Dum Diversas (1452) authorized the enslavement of non-Christians across the globe. Romanus Pontifex (1455) granted Portugal the right to colonize and extract across Africa and the New World. Inter Caetera (1493) extended the same to Spain and the Americas.These were the founding economic legislation of the extractive world we live in - all cloaked in religious language.What followed was centuries of forced extraction. Economists Flynn and Giráldez have documented that colonial American silver - mined through indigenous forced labor in Potosí and across Peru and Mexico - became the standard monetary foundation of early global trade. The gold in the vault was never simply there. It was coercively taken.And then, on August 15, 1971, even that material trace was erased. President Nixon closed the gold window, ending the Bretton Woods system and severing the dollar's convertibility to gold. According to the Federal Reserve's own record, the international community was not consulted. From that moment, currency was backed by nothing but the authority of the government printing it.Knowing that we wrote ourselves into this story, we are now remembering that we can write ourselves out of it. Not only by writing new stories, but by reconnecting with stories that existed long before our current economic situation - stories that are still alive, still practiced, still remembered by the communities that never abandoned them.What Has Always WorkedBefore the conquest of certain nations to centralize power into their hands, other societies practiced more communal and regenerative ways of exchanging value. To them, considering other people and the Earth itself was not an ethical add-on. It was integral to the flourishing of their economies.Pre-colonial PhilippinesLong before the Spaniards arrived, the Philippine archipelago was a major hub in the maritime Silk Road - one of Asia's most active trade networks. Communities exchanged with Chinese, Japanese, Arab, and Indian traders at coastal ports and river settlements.The archipelagic geography made it impossible to consolidate wealth in any single place. Different tribes like the Maranao exchanged surplus agricultural produce, textiles, metalware, and forest products through robust barter systems built on kinship ties and alliances among polities. Value moved between two people who chose to relate. No middleman. Mutual trust was the economic infrastructure.Andean PeoplesThe Quechua people organized their economy around a relational foundation that lives in the language itself. Ayni - sacred reciprocity. Minka - collective community work. Randi-Randi - generalized reciprocity, the understanding that what circulates returns. All three connect to the broader principle of Sumak Kawsay: good living in right relationship with community, land, and the living world.Sumak Kawsay does not separate prosperity from the wellbeing of ecosystems. It understands them as one thing. This recognition runs so deep that Ecuador enshrined it as the central guiding principle for its national development in its 2008 constitution - the living legal inheritance of an ancient economy that knew how to stay.Haudenosaunee in North AmericaIn their 1981 formal statement to the United Nations, the Haudenosaunee Council of Chiefs articulated what their communities had practiced for centuries: that the earth was created for all to use, forever - not for the present generation to exhaust. Under their law, land is held by the women of each clan, who farm and care for it for the benefit of future generations.The Haudenosaunee saw land as a responsibility to be stewarded in trust. Anthropologist Kurt Jordan from Cornell University documented their economic practices and described them as “a reasonably sustainable, localized economy” even under intense external pressure. They had embodied communal stewardship long before theories about such things were written down.Southern Africa“I am because we are.”This is Ubuntu - the philosophy at the core of both social and economic life across Southern Africa. Communities in South Africa and Mozambique relied on mutual aid networks, intergenerational knowledge systems, and participatory rituals as practical economic infrastructure. These systems enhanced community cohesion and collective resilience precisely in the moments when extractive economies failed them. They understood, bone-deep, that no human being thrives in isolation.Diversity of Regen Economic SystemsMany communities across continents are actively rebuilding economic systems beyond the extractive model. The following are not theoretical. They are actively running. Hence, the more diversity of economic systems each person and community practices, the more abundant, unbreakable and independent we are from degenerative systems from governments and corporations that want to control it all. The Commons FoundationOne body of research forms the intellectual foundation for nearly all of them: the life's work of Elinor Ostrom, the first woman to receive the Nobel Prize in Economics. Ostrom spent decades documenting over 800 cases of communities successfully governing shared resources - in Switzerland, Kenya, Guatemala, Nepal, and beyond - without either privatization or state control.Her conclusion was simple and radical: communities do not inevitably destroy what they share. Given the right institutional design, they protect it and pass this duty to the next generation. And her eight design principles for successful commons governance - the framework that emerged from all that fieldwork - describe, as she herself acknowledged, the same governance systems that indigenous communities had been practicing for centuries.Her work is not a new idea. It is a confirmation of ancient ones.Regenerative Economics | Beyond ReFi - The Whole-Systems VisionWhen most people first encounter the term “regenerative economy,” they arrive through crypto. Through ReFi - regenerative finance - and the promise of blockchain as a tool for funding ecological restoration, decentralizing power, and making impact transparent. These are real contributions. They matter.But John Fullerton, founder of the Capital Institute and one of the most rigorous thinkers in this field, spent two decades on Wall Street before arriving at a different and more fundamental question: what if the entire framework of modern finance is running in conflict with how life actually works?Fullerton's work focuses on building an economic framework that supports the long-term health of people, communities, and the planet - not by tweaking the existing system, but by replacing its underlying logic. His core argument is that we are running our society in conflict with the patterns and principles that explain how life works.His answer is what he calls regenerative economics: eight principles drawn from living systems science that describe how healthy economies - like healthy ecosystems - actually function. Diversity. Balance. Circular flow. Robust circulation. Surplus financial capital, in his framework, needs to be recycled and regenerated into other forms of capital - natural, social, and cultural. Not hoarded nor extracted. Composted back into the living system that produced it.ReFi, in Fullerton's framing, is one tool within this larger architecture. Blockchain can decentralize power. Tokenized nature credits can make ecological value legible to markets. Community currencies can circulate value locally. But the technology is only as regenerative as the values underneath it. A crypto project built on extraction logic is still extraction, regardless of the chain it runs on.Regenerative economy is not a financial product. It is a civilizational shift - in how we measure wealth, in what we decide to protect, in whose voices count when decisions are made. ReFi is welcome in that shift. It is one current in a much larger river.Time BanksIn Jackson Heights, Queens, a retired nurse named Gloria hasn't touched the formal economy in months for the things that matter most to her. She spends three hours teaching English to a recent immigrant. Those hours become credits. She spends them on home repairs from a neighbor who knows carpentry. He spends his credits on childcare. The loop keeps moving.This is a Time Bank - a community exchange system built on one radical premise: everyone's time is worth the same. One hour of legal advice equals one hour of gardening equals one hour of emotional support. The hierarchy of market wages disappears. What remains is a web of people who need each other.Edgar Cahn, who developed Time Banking in the 1980s after surviving a near-fatal heart attack, called it “co-production” - the idea that the economy needs what the market can never price: care, community, civic participation, the work of raising children and holding elders. Time Banks make that invisible labor visible, and circulate it back into the community that produced it.Today there are over 500 Time Banks operating in more than 30 countries. Some have formalized into neighborhood institutions. Others run through apps. All of them rest on the same foundation the Quechua called Ayni - sacred reciprocity - translated into the language of modern urban life.Mondragon CorporationThe Mondragon Corporation in Spain's Basque region remains the most studied proof that democratic ownership functions at scale. Founded by six worker-owners in 1956, it now comprises 96 cooperatives employing over 70,000 people, with annual revenues exceeding €11 billion. Workers own the company collectively, vote on strategy at general assemblies, and operate under a constitutionally capped pay ratio of 6-to-1 between the highest and lowest earners.Traditional Dream FactoryIn a 25-hectare village in Alentejo, Portugal, Traditional Dream Factory is a living prototype of the self-sustaining regenerative community - blending collective ownership, ecological restoration, intentional community, and decentralized economy in one working place. They have raised over €1.25 million in total capital across 280+ token holders. Their 2026 build phase is completing co-living rooms, artist studios, a farm-to-table restaurant, a mushroom farm, and a biopool wellness space.AtreyuInvestment, as most of us have encountered it, prioritizes short-term financial returns above all else. Atreyu challenges this at the root by approaching investment through living systems principles and deep relational due diligence. They support their investees to ensure that both the enterprises and the ecosystems they steward realize their potential - together. They focus on early-stage businesses and actively encourage steward-ownership models that enshrine self-governance and purpose orientation.Muyu CoinOne of the first social coins in South America, Based in Ecuador - Muyu serves as an alternative exchange system rooted in community trust and an understanding of sacred economy. It protects the sovereignty of communities in their production, distribution, exchange, consumption, and post-consumption - keeping the loop of value inside the community rather than extracting it outward. It uses Cyclos, an enchrypted platform, a base.It first did an attempt to start in 2015, but not many people showed interest. It then came back very strong in 2020, due to the “plandemic”. People felt the need to have alternative ways to transact that was not controlled by limiting governments. Giving communities complete independence. Currently with over 150+ members who are exchanging goods and services in different nodes throughout the country. From food produce, clothing and art -to- car mechanic, dentists and school teachers serving to the community.Grassroots EconomicsFounded in Kenya, Grassroots Economics supports communities in building their own self-sustaining economies - even when national currency is scarce - through a model called Commitment Pooling.Consider Wanjiru, a vegetable seller in Mombasa's Bangla Pesa network. During a slow week when Kenyan shillings are tight, she issues a Community Asset Voucher - a commitment to provide vegetables - and deposits it into a communal pool. Her neighbor, a carpenter named Kamau, redeems it. He offers his own labor in return. The loop closes. Food reaches a family that needed it. A roof gets repaired. No national currency changes hands.This is not a workaround. It is a return to how value was always supposed to move.Since Grassroots Economics was established in 2010, they have supported 26,600 people across 290+ communities, issuing over 2,140 vouchers. Their protocol is inspired by indigenous Rotational Labor Associations similar to Kenya's mwethya and harambee traditions. It is open-source and blockchain-agnostic - meaning any community, anywhere, can deploy it.The Choice in Front of UsThese regenerative endeavors share one answer to the core assumption of the extractive economy: the economy does not need to extract in order to function. Value can circulate and regenerate rather than accumulate. Ecological health, community resilience, and the wellbeing of the next generations are not costs to minimize - they are the actual metrics that demonstrate economic success.The question is no longer whether it is possible. It is happening. The question is whether enough of us choose to participate in building it, and whether we remember our roles as stewards of the Earth that has always sustained us.We get to choose the future we want for ourselves, our children, and the seven generations that come after.Your Role in the Regenerative EconomyReading this is already a kind of remembering. The question that follows is simple: where do you begin?The regenerative economy is not waiting to be invented. It is waiting to be joined. Every one of the models described here started with a small group of people who decided to practice a different relationship with value - before it was proven, before it was popular, before it was funded.Here are real entry points, available now:Start with your immediate circle. Identify three skills or resources you have in excess - time, knowledge, food from a garden, tools sitting unused. Offer them. Ask for what you need in return. This is Ayni. It requires no platform, no signup, no permission.Relocalize your spending. Every dollar (fiat currency) that circulates inside a local economy multiplies its impact without leaving the community. Farmers markets, community-supported agriculture, local cooperatives, regenerative small businesses - these are not lifestyle choices. They are votes for a different system, cast weekly.Find or start a Time Bank in your area. hOurworld.org and TimeBanks.org maintain active directories. If nothing exists near you, starting one requires little more than a spreadsheet and a Telegram/Whatsapp group.Join a community working on this. It can be our Regenerative Leadership Community from www.regenerativeculture.life is one place. There are others - transition towns, ecovillages, commons networks - in most regions of the world. Find your people. The regenerative economy is, at its root, a relationship economy. It does not work alone.Learn the language. Permaculture design, commons governance, cooperative economics, sacred reciprocity - these are not abstract concepts. They are practical skills with deep traditions behind them. The more fluent you become, the more useful you are to the communities building this.The scale of what needs to change can feel paralyzing. It is not meant to. The models described in this article did not begin at scale. Mondragon began with six people. Grassroots Economics began in one neighborhood in Mombasa. The Quechua did not design Ayni for a movement - they designed it for a harvest.Start where you are. With what you have. With whoever is near you. That has always been enough to begin. It's not easy, but it is possible.Written by Gertie Farenas and Yoshi Pantera - 90% by us humans and 10% AI assisted.This Audio is recorded by a true voice - Yoshi PanteraThis article is part of the Regenerative Culture Chronicle - a publication exploring the ideas, practices, and communities building a world that benefits all life.Learn more at RegenerativeCulture.LifeThanks for reading Regenerative Culture Chronicle! This post is public so feel free to share it.Regenerative Culture Chronicle is a reader-supported publication. To receive new posts and support our work, consider becoming a free or paid subscriber. Thank you! Get full access to Regenerative Culture Chronicle at regenerativecultureworld.substack.com/subscribe

To become a follower of Jesus, visit: https://MorningMindsetMedia.com/MeetJesus  (NOT a Morning Mindset resource)   ⇒ BECOME A MONTHLY PARTNER: (not tax-deductible) You can find out how to become a monthly partner including how to receive your "thank you" gift - our bonus podcast called "Digging Deeper." God t: https://mm-gfk-partners.supercast.com/ ➖➖➖➖➖➖➖➖➖➖ TODAY'S SCRIPTURE: Matthew 7:21–23 - “Not everyone who says to me, ‘Lord, Lord,’ will enter the kingdom of heaven, but the one who does the will of my Father who is in heaven. [22] On that day many will say to me, ‘Lord, Lord, did we not prophesy in your name, and cast out demons in your name, and do many mighty works in your name?’ [23] And then will I declare to them, ‘I never knew you; depart from me, you workers of lawlessness.’ (ESV) ➖➖➖➖➖➖➖➖➖➖ FINANCIALLY SUPPORT THE MORNING MINDSET: (not tax-deductible) -- Become a monthly partner: https://mm-gfk-partners.supercast.com/ -- Underwrite one daily episode: https://MorningMindsetMedia.com/daily-sponsor/ -- Give one-time: https://give.cornerstone.cc/careygreen -- Venmo: @CareyNGreen ➖➖➖➖➖➖➖➖➖➖ FOREIGN LANGUAGE VERSIONS OF THIS PODCAST: Subscribe to the SPANISH version: https://MorningMindsetMedia.com/Spanish Subscribe to the CHINESE version: https://MorningMindsetMedia.com/Chinese ➖➖➖➖➖➖➖➖➖➖ CONTACT: Carey@careygreen.com   

To become a follower of Jesus, visit: https://MorningMindsetMedia.com/MeetJesus  (NOT a Morning Mindset resource)   ⇒ Listen to our other podcasts: https://MorningMindsetMedia.com ➖➖➖➖➖➖➖➖➖➖ TODAY'S SCRIPTURE: Matthew 6:28–34 - And why are you anxious about clothing? Consider the lilies of the field, how they grow: they neither toil nor spin, [29] yet I tell you, even Solomon in all his glory was not arrayed like one of these. [30] But if God so clothes the grass of the field, which today is alive and tomorrow is thrown into the oven, will he not much more clothe you, O you of little faith? [31] Therefore do not be anxious, saying, ‘What shall we eat?’ or ‘What shall we drink?’ or ‘What shall we wear?’ [32] For the Gentiles seek after all these things, and your heavenly Father knows that you need them all. [33] But seek first the kingdom of God and his righteousness, and all these things will be added to you. [34] “Therefore do not be anxious about tomorrow, for tomorrow will be anxious for itself. Sufficient for the day is its own trouble. (ESV) ➖➖➖➖➖➖➖➖➖➖ FINANCIALLY SUPPORT THE MORNING MINDSET: (not tax-deductible) -- Become a monthly partner: https://mm-gfk-partners.supercast.com/ -- Underwrite one daily episode: https://MorningMindsetMedia.com/daily-sponsor/ -- Give one-time: https://give.cornerstone.cc/careygreen -- Venmo: @CareyNGreen ➖➖➖➖➖➖➖➖➖➖ FOREIGN LANGUAGE VERSIONS OF THIS PODCAST: Subscribe to the SPANISH version: https://MorningMindsetMedia.com/Spanish Subscribe to the CHINESE version: https://MorningMindsetMedia.com/Chinese ➖➖➖➖➖➖➖➖➖➖ CONTACT: Carey@careygreen.com   

To become a follower of Jesus, visit: https://MorningMindsetMedia.com/MeetJesus  (NOT a Morning Mindset resource) ➖➖➖➖➖➖➖➖➖➖ ⇒Check out all of Carey's books - for adults and kids, fiction and non-fiction : https://CareyGreen.com/books ➖➖➖➖➖➖➖➖➖➖ TODAY'S SCRIPTURE: Matthew 6:9–13 - Pray then like this: “Our Father in heaven, hallowed be your name. [10] Your kingdom come, your will be done, on earth as it is in heaven. [11] Give us this day our daily bread, [12] and forgive us our debts, as we also have forgiven our debtors. [13] And lead us not into temptation, but deliver us from evil. (ESV) ➖➖➖➖➖➖➖➖➖➖ FINANCIALLY SUPPORT THE MORNING MINDSET: (not tax-deductible) -- Become a monthly partner: https://mm-gfk-partners.supercast.com/ -- Underwrite one daily episode: https://MorningMindsetMedia.com/daily-sponsor/ -- Give one-time: https://give.cornerstone.cc/careygreen -- Venmo: @CareyNGreen ➖➖➖➖➖➖➖➖➖➖ FOREIGN LANGUAGE VERSIONS OF THIS PODCAST: Subscribe to the SPANISH version: https://MorningMindsetMedia.com/Spanish Subscribe to the CHINESE version: https://MorningMindsetMedia.com/Chinese ➖➖➖➖➖➖➖➖➖➖ CONTACT: Carey@careygreen.com   

To become a follower of Jesus, visit: https://MorningMindsetMedia.com/MeetJesus  (NOT a Morning Mindset resource) ➖➖➖➖➖➖➖➖➖➖ TODAY'S SCRIPTURE: Matthew 5:33–37 - “Again you have heard that it was said to those of old, ‘You shall not swear falsely, but shall perform to the Lord what you have sworn.’ [34] But I say to you, Do not take an oath at all, either by heaven, for it is the throne of God, [35] or by the earth, for it is his footstool, or by Jerusalem, for it is the city of the great King. [36] And do not take an oath by your head, for you cannot make one hair white or black. [37] Let what you say be simply ‘Yes’ or ‘No’; anything more than this comes from evil. (ESV) ➖➖➖➖➖➖➖➖➖➖ FINANCIALLY SUPPORT THE MORNING MINDSET: (not tax-deductible) -- Become a monthly partner: https://mm-gfk-partners.supercast.com/ -- Underwrite one daily episode: https://MorningMindsetMedia.com/daily-sponsor/ -- Give one-time: https://give.cornerstone.cc/careygreen -- Venmo: @CareyNGreen ➖➖➖➖➖➖➖➖➖➖ FOREIGN LANGUAGE VERSIONS OF THIS PODCAST: Subscribe to the SPANISH version: https://MorningMindsetMedia.com/Spanish Subscribe to the CHINESE version: https://MorningMindsetMedia.com/Chinese ➖➖➖➖➖➖➖➖➖➖ CONTACT: Carey@careygreen.com   

To become a follower of Jesus, visit: https://MorningMindsetMedia.com/MeetJesus  (NOT a Morning Mindset resource) ➖➖➖➖➖➖➖➖➖➖ TODAY'S SCRIPTURE: Matthew 5:17–20 - “Do not think that I have come to abolish the Law or the Prophets; I have not come to abolish them but to fulfill them. [18] For truly, I say to you, until heaven and earth pass away, not an iota, not a dot, will pass from the Law until all is accomplished. [19] Therefore whoever relaxes one of the least of these commandments and teaches others to do the same will be called least in the kingdom of heaven, but whoever does them and teaches them will be called great in the kingdom of heaven. [20] For I tell you, unless your righteousness exceeds that of the scribes and Pharisees, you will never enter the kingdom of heaven. (ESV) ➖➖➖➖➖➖➖➖➖➖ FINANCIALLY SUPPORT THE MORNING MINDSET: (not tax-deductible) -- Become a monthly partner: https://mm-gfk-partners.supercast.com/ -- Underwrite one daily episode: https://MorningMindsetMedia.com/daily-sponsor/ -- Give one-time: https://give.cornerstone.cc/careygreen -- Venmo: @CareyNGreen ➖➖➖➖➖➖➖➖➖➖ FOREIGN LANGUAGE VERSIONS OF THIS PODCAST: Subscribe to the SPANISH version: https://MorningMindsetMedia.com/Spanish Subscribe to the CHINESE version: https://MorningMindsetMedia.com/Chinese ➖➖➖➖➖➖➖➖➖➖ CONTACT: Carey@careygreen.com   

In this episode, I take you through how I set up a Cardano node at home using a low-cost HP Elite mini PC, why I decided to do it this way, and how I'm thinking about turning it into a machine that can help pay for itself over time.The main goal here was to reduce the cost of running relay infrastructure for my Cardano stake pool, but in doing that, I can also use this node for other things, too, like a private submit API and other services that may earn rewards over time.I walk through the full setup flow I followed, including installing Ubuntu, enabling SSH access, hardening the server using the CoinCashew guide, deploying the Cardano node with Guild Operators, setting it up as a background service, using Mithril snapshots to speed up sync, and checking everything with gLiveView.If you've been thinking about running your own home relay, or you want to understand how a low-cost machine can fit into a wider Cardano infrastructure setup, this one will help.Tutorials and references used in this setup:CoinCashew Cardano stake pool guideCoinCashew Ubuntu hardening guideCoinCashew topology guideGuild Operators node setup guideTimestamps0:00 Why I bought this mini PC1:02 Turning it into a profitable machine2:08 Reducing relay costs for my stake pool3:24 Whats a Cardano submit API does5:10 Other services this node can run6:22 Installing Ubuntu on the HP Elite mini PC8:40 Switching Ubuntu to command-line boot10:12 Enabling SSH and remote access12:08 CoinCashew server hardening guide13:35 Setting up SSH keys properly15:22 Configuring SSH and changing the port17:48 System updates and fail2ban19:42 UFW firewall rules and opening port 600021:18 Chrony time sync setup22:44 Guild Operators install and dependencies26:10 Choosing binaries and Mithril tools28:34 Deploying the node as a systemd service30:12 Setting CPU cores and installing htop31:40 Configuring gLiveView and mempool tracing33:26 Mithril snapshot setup35:14 Downloading the Cardano DB snapshot37:08 Starting the node and checking status38:20 Topology configuration and relay peers40:05 Final checks in gLiveView41:22 Final thoughts and next stepsIf you want, I can also turn this into a shorter, tighter Spreaker version with less SEO language and more natural podcast copy.DISCLAIMER: This content is for informational and educational purposes only and is not financial, investment, or legal advice. I am not affiliated with, nor compensated by, the project discussed—no tokens, payments, or incentives received. I do not hold a stake in the project, including private or future allocations. All views are my own, based on public information. Always do your own research and consult a licensed advisor before investing. Crypto investments carry high risk, and past performance is no guarantee of future results. I am not responsible for any decisions you make based on this content.

To become a follower of Jesus, visit: https://MorningMindsetMedia.com/MeetJesus  (NOT a Morning Mindset resource)   ⇒ TELL SOMEONE ABOUT THE MORNING MINDSET - Your personal recommendation can make an eternal difference in the lives of the people you know! STEP ONE: Go to http://YourMorningMindset.com  STEP TWO: Share that page with someone you know! ➖➖➖➖➖➖➖➖➖➖ TODAY'S SCRIPTURE: Matthew 5:2–12 - And he opened his mouth and taught them, saying: [3] “Blessed are the poor in spirit, for theirs is the kingdom of heaven. [4] “Blessed are those who mourn, for they shall be comforted. [5] “Blessed are the meek, for they shall inherit the earth. [6] “Blessed are those who hunger and thirst for righteousness, for they shall be satisfied. [7] “Blessed are the merciful, for they shall receive mercy. [8] “Blessed are the pure in heart, for they shall see God. [9] “Blessed are the peacemakers, for they shall be called sons of God. [10] “Blessed are those who are persecuted for righteousness’ sake, for theirs is the kingdom of heaven. [11] “Blessed are you when others revile you and persecute you and utter all kinds of evil against you falsely on my account. [12] Rejoice and be glad, for your reward is great in heaven, for so they persecuted the prophets who were before you. (ESV) ➖➖➖➖➖➖➖➖➖➖ FINANCIALLY SUPPORT THE MORNING MINDSET: (not tax-deductible) -- Become a monthly partner: https://mm-gfk-partners.supercast.com/ -- Underwrite one daily episode: https://MorningMindsetMedia.com/daily-sponsor/ -- Give one-time: https://give.cornerstone.cc/careygreen -- Venmo: @CareyNGreen ➖➖➖➖➖➖➖➖➖➖ FOREIGN LANGUAGE VERSIONS OF THIS PODCAST: Subscribe to the SPANISH version: https://MorningMindsetMedia.com/Spanish Subscribe to the CHINESE version: https://MorningMindsetMedia.com/Chinese ➖➖➖➖➖➖➖➖➖➖ CONTACT: Carey@careygreen.com   

This show has been flagged as Clean by the host. 01 This is the fourth episode in a four part series on simple podcasting. 02 Introduction In this episode we will discuss alternatives to Audacity when it comes to analyzing audio spectrums to find the sources of unwanted noise. I previously promised some gratuitous hackery, and we will get into that in this episode. 03 Recall that with Audacity you first import the audio file, then select the part of the audio you wish to analyze (or ctrl-A for all), and then select analyze > plot spectrum. This is in fact the only feature of Audacity that I know how to use. I am definitely not an audio expert. I do however have some background in processing and analyzing other signals, so some of the basics are familiar to me. 04 We can accomplish the same thing that Audacity does in this instance provided we can do the following. First, we need to get the data out of the audio file and into a form which we can import into other software. Second, we need to perform certain mathematical operations on this data. Finally, we need to be able to plot the results of these calculations on a chart. -------------------- 05 Fourier Transforms First though, we need a bit of mathematical background. What Audacity is doing when it shows a plot of frequency versus amplitude is that it is showing the results of a Fourier Transform. A Fourier Transforms is a mathematical operation that converts the time domain into the frequency domain. Any complex signal, audio or otherwise, can be broken down into a collection of sine waves of various frequencies. For example, a simple square wave signal of say 100 hertz can be represented as a sine wave of frequency 100 hertz plus a collection of higher frequency sine waves which add together to give the sharp corners. 06 A Fourier Transform finds these sine waves and sorts them out into separate bins, with each bin representing an individual frequency or a collection of closely related frequencies, depending on how fine grained the sorting is. 07 This is exactly what we want when we are trying to figure out how to filter out noise. Recall that earlier in this series we had to solve a problem with a high pitched background noise which was originating in my cheap microphone. Analyzing this audio by frequency showed that it was a series of individual tones at 1 kHz intervals. We were then able to use filters targeted at those frequencies to get rid of that noise. 08 There are several optimized versions of the Fourier Transform algorithm. A very common one is the Fast Fourier Transform, common abbreviated to just "FFT". This is so common that the term "FFT" is often used to simply mean any Fourier Transform even though this is not technically correct. 09 Typical FFT algorithms require that the number of data samples is exactly a power of two. So the number of samples we need may be something like 4096, 8192, or 65536, to give a few random examples. When we transform from the time domain to the frequency domain, each sample becomes a single frequency "bin". So the more samples we have, the finer the resolution we get in terms of frequency. 10 If we assume we are dealing with flac files recorded at a 44.1 kHz sample rate, that is, 44100 samples per second, then if we have 32768 samples, each "bin" represents slightly more than 1 hertz. If we have 65536 samples, then each "bin" represents a fraction of a hertz. For our purposes we will pick 65536 samples. That means we need 1.48 seconds of data. For simplicity's sake we will record at least 2 seconds of data and then just discard the samples that we don't need. 11 There is a further complication here. Fourier Transforms normally work with complex numbers. Recall from your school days that as well as integers and real numbers there are complex numbers. Each complex number consists of two parts, a real component and an imaginary component. I won't go into the details of this, just accept that each sample needs to have two components. Fortunately, if we don't have complex number data we can just set the imaginary component to zero and use that. This is enough talking about the theory, let's get into the practical details. -------------------- 12 Extracting Data from Audio Files First we will look at how to extract the data from the audio files. Fortunately, one of the programs which we have already been using can do this. To do this we will use Sox. I am not aware of an equivalent feature in ffmpeg. 13 Sox calls itself "SoX - Sound eXchange, the Swiss Army knife of audio manipulation" Sox is free software and is licensed under the GPLV2 or later. In this case we want to use a feature which allows us to convert a binary audio signal file to a text data file. To convert the file to text data we just give the output file a ".dat" file extension and Sox will do this for us. 14 Here is a command example. sox inputfile.flac tdata.dat 15 This gives us a file in the following format, assuming this is a mono audio recording. ; Sample Rate 44100 ; Channels 1 0 0.045471191406 2.2675737e-05 0.055023193359 4.5351474e-05 0.048217773438 6.8027211e-05 0.053192138672 etc. The first line states the sample frequency The second line states that the data is for channel 1. The data starts on the third line. Column 1 is the time in seconds. Column 2 is the waveform data point. 16 To analyze the data we want a subset of these samples. When we convert from the time domain to the frequency domain, our resolution will be determined by the number of samples. We would like therefore to have at least as many samples as the sampling rate. We also want the samples size to be an even multiple of two. The number of points we want to have is equal to the next even multiple of two above our chosen sampling rate, 44,100 Hz. This number would be 65536. 17 To extract this data from the file we can do the following. tail tdata.dat -n+3 | head -n65536 | awk '{printf "%sn", $2}' > tdata.csv 18 We use tail to skip over the first three lines. We use head to take the next 65536 lines and discard the rest. We use awk to extract the second column which we will use as the real component. We now have this data as a csv file in one column. -------------------- 19 Analyzing the Data To analyze the data we need software which can calculate FFTs. I will now show two examples of this, a very simple case using Libre Office Calc, and a more complex but more complete one using GNU Octave. 20 Using Libre Office We can do fourier analysis and plot charts using Libre Office. Take the csv file of data that we previously created. For this example I used data from a recording of silence so that I could see what internal noise was being generated by the headset. Open the csv file and import it into Libre Office Calc. 21 Now select all 65536 rows of column A. The Fourier function will automatically fill the imaginary component with zeros if we don't provide an column of imaginary numbers, so we don't need to provide a column of zeros. Then select Data > Statistics > Fourier Analysis. 22 A window will open allowing you to select various parameters. For Results to:, enter "D1". Grouped by Columns. Select OK. 23 New data should now appear starting in cell D1. The first line will say " Fourier Transform" The second line will state the input range. The third line will state "Real" in column D, and "Imaginary" in column E. The data will start in row 4. 24 For our simple example we will ignore the imaginary data and just use the real data, which will form our Y component when we plot it on a chart. We now need to create the X axis data. 25 Each cell is a "bin" of frequencies. Each cell therefore represents (sample frequency) / (Number of samples) Hz. 26 To create the X axis data showing frequency, enter the following formula in to column C to the left of each D column number. =((44100/65536) * (ROW() - 4) 27 We can now create an XY chart showing the frequency analysis. You may need to exclude the first couple of dozen rows as very low frequency components which cannot be heard may otherwise overwhelm the data we are interested in. Also, you only need the first half of the chart. The FFT mirrors the data from the first half of the array into the second half. 28 Because characterizing a sine wave requires a minimum of 2 points, although we have a sample frequency of 44.1 kHz, we really only have sound waves up to a maximum of half that, or 22.05 kHz. Create the chart with lines only. If you followed the above instructions, you should see something resembling what we saw in Audacity, except with each bin more sharply defined. 29 In the data that I had from a recording of unfiltered headset noise, I could see a distinct noise spike every 1000 hertz. 30 However, we have taken several shortcuts. First, the imaginary component of the data was ignored. Second, the magnitude (that is, Y axis) has both positive and negative peaks. Third, the data is not scaled to dB sound units, so we just have a relative measure. However, that by itself is enough to tell us where the frequencies are that we need to construct filters to deal with. 31 We could refine this spreadsheet a bit more to deal with the above issues, but I think we have demonstrated the basic principle, and working with a spreadsheet can be a bit awkward. However, if working with a spreadsheet is what you want to do, then you can add more columns and more formulae to improve on it. -------------------- 32 Other Analysis Software I will go on to GNU Octave in a moment, but I want to get a few other alternatives out of the way first. I won't go into any detail on them other than to point them out to people who want to have a go at trying these themselves. 33 Grace There is math and plotting software called Grace. This is free software, released under the GPL V2. According to the documentation, it seems to have the features we need, including an FFT function. However, I could not get it to work properly on Ubuntu 24.04. I could not get it to load a data file and plot data. 34 The error messages were vague and unhelpful. The file navigation system didn't work. There was no obvious path to success, and if it isn't easy to use then there is no point to it. This is fairly old software, designed for X Window and Motif. I gave up on it as not suitable for this series as I am looking for some fairly low effort things for people to try themselves. If someone else can get it to work on their PC, perhaps they could do an HPR episode on this themselves. 35 Command Line FFT Packages There are several command line FFT packages. They will read data from std in or from a file and output the FFT. However, these are not packaged for Ubuntu and appear to be distributed as C source code which you would download and compile. You can experiment with those if you wish, but I felt they were a bit out of scope for discussion here as I am looking at common tools that are ready to use. 36 Here are two examples. One is Command-line Fast Fourier Transform utility https://github.com/gregfjohnson/fft Another is cli-fft https://github.com/jonolafur/cli-fft 37 I have not tried these and cannot say whether they are any good or not. Similarly, there are a number of FFT packages that are libraries for languages such as Python. If you want to take the time to write a short program to go with them, you can create a dedicated FFT command line program. However, I felt that this too was out of scope for what I was trying to do here. 38 Doing it the Hard Way Hypothetically, it may be possible to write an FFT function in bash bc, which is the arbitrary precision calculator language which is part of the standard shell package. I say hypothetically, because I have not tried it. I think it would be an interesting challenge, but I don't have the time at the moment to try it. If anyone feels motivated to give it a try, they're welcome to give it a go and then do a podcast episode on it. -------------------- 39 GNU Octave We have seen that as well as using features built into Audacity to analyze the audio spectrum to see the frequencies of undesired noises, we were able to do the same using a Libre Office spreadsheet. 40 Now we'll look at another bit of software, GNU Octave. GNU Octave is free software, licensed under the GPL V3 or later. It is a mathematical scripting language, very similar to Matlab. People use it for mathematical, engineering, and scientific work. It can be found in most Linux distros and is available for some other operating systems as well. 41 Octave has two features built in that we need for our purposes. It does FFTs, and it has a plotting system built in to produce graphs. -------------------- 42 We will take the same audio test file that we used with Audacity and Libre Office and use it here as well. The bash script to convert the flac file to text data is essentially the same, with the exception that file extension on the output file as is ".txt" instead of ".csv". This latter change was an arbitrary decision on my part. 43 As a quick review, this bash script uses sox to convert a flac file to a text ".dat" file. Then it uses tail, head, and awk to extract the first 65536 rows of data, skipping over the header information and ignoring the first column of time data. This script will be in the show notes. -------------------- #!/bin/bash # This version is for use with the GNU Octave script. sox hsnoisemono.flac hsnoisemono.dat tail hsnoisemono.dat -n+3 | head -n65536 | awk '{printf "%sn", $2}' > hsnoisemono.txt -------------------- 44 We now have a 1.1 MB file containing 65536 samples of data in text format. Now the next thing we need to do is to create a short Octave script file. I will just give a brief overview of the script here, the full script will be in the show notes. 45 I put the script in a file called "octavespectrum.m". I have never used Octave before now, but the convention seems to be to give the script a ".m" ending. The "she-bang" line is "#!/usr/bin/env octave". If you make the file executable you can run it like any other script, or you can type "octave" and then the name of the script to run. 46 I won't read out the script in detail, as that would be too hard to following along in a podcast. However, I pass several arguments to the script including the name of the data file, and then two integers that I use to limit the display area in the Y and X axes so I can have the chart focus on the areas of interest that I want to see. I also pass a string containing the name of the graphic file that I want the chart exported to. This was an arbitrary decision on my part and you can just hard code these values in if that is what you want to do. 47 The arguments are accessed by calling the "args()" function, which returns an array of strings. Next, it reads in the specified file using the "dlmread()" function. This reads all of the data into an array. 48 Next, it performs a hamming windowing function on the data. I'll explain that briefly. It is standard practice when doing FFT signal processing to "window" the signal. Since the signal sample is of finite length, it will stop at each end of the array. 49 Unless you were lucky enough for this to happen exactly at a zero crossing, this would produced an abrupt transition in the data which looks like "noise" to the FFT. The solution is to taper the signal off gradually towards the ends so that when it gets cut off the signal is fairly small at that point anyway. There are a variety of different windowing functions, but "hamming" seems to be the most commonly used. 50 Next, it does an FFT using the "fft()" function. 51 This gives us real and imaginary outputs. These are combined by summing the squares of each corresponding real and imaginary element and then taking the square root of each and storing that in a new array. This gives a single array of the same length as the originals, but combining the two output components. If anyone wants to tell me that this isn't how things are done in the audio world, they're welcome to make an HPR episode telling us all the right way to do things. 52 Then it does some scaling and selection of subsets of data so we get the X axis in hertz and just the number of samples that we wish to look at. If you are looking at the script, the thing to keep in mind is that Octave will work on entire arrays of data in a single operation. You don't need to write explicit loops for this. The looping is handled implicitly as part of the syntax. 53 It also does various other things that make the chart easier to read. The comments in the script describe these in more detail. Since this is a script it's easier to add these sorts of refinements than is the case for a spreadsheet so I have made the effort to add them. Finally it calls the "plot()" function. If an output graphics file name was provided, it also creates a PNG file containing the same image using the "saveas" function. 54 We now see the chart, and it looks more or less as expected. However, this chart is interactive. You can zoom and pan the data, something that you can't do with either Audacity or Libre Office. The chart window doesn't have a function for exporting the resulting chart to a "png" file, it will only save to an ".ofig" file. The ofig file is not a standard graphics file, it is a serialization of the chart data that can only be looked at using the Octave chart viewer. 55 Alternatively, you can just take a screenshot of the chart after you have interactively zoomed and panned to a point of interest. At the bottom left of the chart window is a pair of x-y coordinates which tell you the current position of the mouse pointer in chart units. This is very handy as it can be used to get the exact (or close to exact) frequency of each noise spike. 56 The Y axis is not scaled in any particular units such as dB, as I'm not sure how to do that according to audio industry conventions. On the other hand, I'm not sure that it's really necessary, as I don't know what dB means in tangible terms anyway. It does show relative sizes, so it helps to determine whether you have one noise frequency or multiple frequencies to worry about. 57 If anyone is familiar with how to scale the raw data from a flac file as exported by Sox into dB units according to audio industry convention, then they are welcome to create an HPR episode telling us how to do it. -------------------- 58 Comments on GNU Octave I had never used GNU Octave before this, although I had heard of it and it is quite a significant piece of software for a specific segment of users. 59 The syntax is a bit odd especially in how it deals with array operations, but I was able to google various examples and answers to eventually get this working. A few other peculiarities are that it uses the percent "%" character to denote a comment, and leaving out the semi-colon at the end of the line causes it to print the answer to the console after executing the statement. 60 The GNU Octave solution was harder to get working than the Libre Office method. However, once it was working it is easier to use repeatedly. If I were to want to automatically generate audio files with different filtering or other options and wanted to script the creation of a large number of images showing the results, this would be the way to do it. 61 When your run the Octave script you may get a warning which says something like "QSocketNotifier: Can only be used with threads started with QThread". This is apparently a routine warning message from the Qt graphics system which has no real significance in this context and can be ignored for our purposes. -------------------- 62 We now have a bash script which will use sox to extract the data from a flac file, and a GNU Octave script which can be used to display the resulting frequency spectrum. This does more or less the same thing as "Plot Spectrum" does in Audacity, but allows for zooming and panning to get a more detailed look at the data. 63 However it doesn't give you an absolute reading of the sound levels in dB, something that Audacity does provide. What I wanted it for though was to find the frequencies of the audible noise in the signal, something that it does quite well. -------------------- #!/usr/bin/env octave % Perform an FFT on the data in a file and plot the results. % ====================================================================== % The sampling frequency. This must be changed to accommodate the % actual sampling frequency if it was something else. samplefreq = 44100; % Thickness of line on plot. linewidth = 2; % ====================================================================== % The name of the data file is passed as a argument. args = argv(); if length(args) < 3 quit endif % File name. fname = args{1}; % Clip the peak values. peakclip = str2double(args{2}); % How much data to show, in kHz. rbound = str2double(args{3}) * 1000; % The optional file name to save a chart image to. if length(args) > 3 chartfile = args{4}; else chartfile = ""; endif % ====================================================================== % Read the data in from the file. sampledata = dlmread(fname); % Number of samples. samplecount = length(sampledata); % ====================================================================== % Window the data. This helps deal with the discontinuity of data at % each end of the array and the effects this has on introducing apparent % noise into the signal. windoweddata = (hamming(samplecount) .* sampledata); % ====================================================================== % Do the actual FFT. fftresults = fft(windoweddata); % Get real component. r = real(fftresults); % Get the imaginary component. i = imag(fftresults); % Combine the real and imaginary. In order to square each element of each % array, we must use the ".^" operator, not just "^". rfft = sqrt(r.^2 + i.^2); realfft = rfft(1:samplecount); % ====================================================================== % Scale factor for frequency. fscale = samplefreq / samplecount; % X axis scale, scaled to frequency. f = (0:samplefreq/2) * fscale; % Take a subset of the data if specified. rbound has to be re-scaled % from kHz to array increments. freq = f(1:min(rbound / fscale,length(f))); % y axis. We take the absolute value and then limit (clip) the peaks % so that a few large peaks don't obscure the smaller ones. mag = min(abs(realfft(1: length(freq))), peakclip); % Plot the results. figure; whandle = plot(freq, mag, 'LineWidth', linewidth); title(["Audio Spectrum of ", fname]); xlabel("Frequency (Hz)"); ylabel("Unscaled Magnitude"); grid on; % If the appropriate optional argument was specified, save the chart % to a file of that name. if length(chartfile) > 4 saveas(gcf, chartfile, "png"); endif % Need this so the plot window stays open. waitfor(whandle); % ====================================================================== -------------------- This is the shell script used with the above Octave script. The arguments are 1 - the file name for the input data file. 2 - The value to clip the peaks at. 3 - The upper frequency bound in kHz. 4 - The output graphics file name. #!/bin/bash octave octavespectrum.m hsnoisemono.txt 10 12 hsnoisemono.png -------------------- 64 Episode Conclusion In this episode we covered the following topics. What Fourier transforms are. Extracting data from audio files using Sox. Analyzing the data using Libre Office. Analyzing the data using GNU Octave. And, several alternative analysis methods. 65 Series Conclusion This is the end of a four part series on simple podcasting. In the first episode, we covered a simple podcast recording method. This first episode is all you really need to make a podcast. 66 In the second episode we covered basic filtering and a few other simple topics. The methods discussed in that episode provide basic improvements to your audio if you feel the need for it. 67 In the third episode we covered how to analyze audio noise problems using Audacity and additional filtering techniques to deal with specific problems that we may find. We also covered command line recording, playback, and getting information about an audio recording. 68 In the fourth episode we engaged in a bit of gratuitous hackery for the fun of it and showed how to use alternative software methods to analyze audio signals. 69 I hope that this series has been both useful and entertaining and that you will use the knowledge gained here to create and submit your own HPR podcast episodes. -------------------- -------------------- Provide feedback on this episode.

John is joined by acclaimed historian and author Dr. Panashe Chigumadzi about, her lecture titled Reclaiming Radical Ubuntu, Pan-African Reparations Jurisprudence, and the Struggle for Black Sovereignty Presenter John Maytham is an actor and author-turned-talk radio veteran and seasoned journalist. His show serves a round-up of local and international news coupled with the latest in business, sport, traffic and weather. The host’s eclectic interests mean the program often surprises the audience with intriguing book reviews and inspiring interviews profiling artists. A daily highlight is Rapid Fire, just after 5:30pm. CapeTalk fans call in, to stump the presenter with their general knowledge questions. Another firm favourite is the humorous Thursday crossing with award-winning journalist Rebecca Davis, called “Plan B”. Thank you for listening to a podcast from Afternoon Drive with John Maytham Listen live on Primedia+ weekdays from 15:00 and 18:00 (SA Time) to Afternoon Drive with John Maytham broadcast on CapeTalk https://buff.ly/NnFM3Nk For more from the show go to https://buff.ly/BSFy4Cn or find all the catch-up podcasts here https://buff.ly/n8nWt4x Subscribe to the CapeTalk Daily and Weekly Newsletters https://buff.ly/sbvVZD5 Follow us on social media: CapeTalk on Facebook: https://www.facebook.com/CapeTalk CapeTalk on TikTok: https://www.tiktok.com/@capetalk CapeTalk on Instagram: https://www.instagram.com/ CapeTalk on X: https://x.com/CapeTalk CapeTalk on YouTube: https://www.youtube.com/@CapeTalk567 See omnystudio.com/listener for privacy information.

To become a follower of Jesus, visit: https://MorningMindsetMedia.com/MeetJesus  (NOT a Morning Mindset resource)   ⇒ TODAY'S DAILY SPONSOR: Tyrsa and Wes, Morning Mindset listeners are sponsoring this episode.   You can sponsor a daily episode of the Morning Mindset too, by going to https://MorningMindsetMedia.com/DailySponsor ➖➖➖➖➖➖➖➖➖➖ TODAY'S SCRIPTURE: Matthew 4:23–24 - And he went throughout all Galilee, teaching in their synagogues and proclaiming the gospel of the kingdom and healing every disease and every affliction among the people. [24] So his fame spread throughout all Syria, and they brought him all the sick, those afflicted with various diseases and pains, those oppressed by demons, those having seizures, and paralytics, and he healed them. (ESV) ➖➖➖➖➖➖➖➖➖➖ FINANCIALLY SUPPORT THE MORNING MINDSET: (not tax-deductible) -- Become a monthly partner: https://mm-gfk-partners.supercast.com/ -- Underwrite one daily episode: https://MorningMindsetMedia.com/daily-sponsor/ -- Give one-time: https://give.cornerstone.cc/careygreen -- Venmo: @CareyNGreen ➖➖➖➖➖➖➖➖➖➖ FOREIGN LANGUAGE VERSIONS OF THIS PODCAST: Subscribe to the SPANISH version: https://MorningMindsetMedia.com/Spanish Subscribe to the CHINESE version: https://MorningMindsetMedia.com/Chinese ➖➖➖➖➖➖➖➖➖➖ CONTACT: Carey@careygreen.com   

To become a follower of Jesus, visit: https://MorningMindsetMedia.com/MeetJesus  (NOT a Morning Mindset resource)   ⇒ TODAY'S DAILY SPONSOR: MM listener, Shannon says, “I'm grateful that I, and everyone who listens, are able to hear God's word, draw nearer to Him and praise His name each day through the Morning Mindset.”   You can sponsor a daily episode of the Morning Mindset too, by going to https://MorningMindsetMedia.com/DailySponsor ➖➖➖➖➖➖➖➖➖➖ TODAY'S SCRIPTURE: Matthew 4:17 - From that time Jesus began to preach, saying, “Repent, for the kingdom of heaven is at hand.” (ESV) ➖➖➖➖➖➖➖➖➖➖ FINANCIALLY SUPPORT THE MORNING MINDSET: (not tax-deductible) -- Become a monthly partner: https://mm-gfk-partners.supercast.com/ -- Underwrite one daily episode: https://MorningMindsetMedia.com/daily-sponsor/ -- Give one-time: https://give.cornerstone.cc/careygreen -- Venmo: @CareyNGreen ➖➖➖➖➖➖➖➖➖➖ FOREIGN LANGUAGE VERSIONS OF THIS PODCAST: Subscribe to the SPANISH version: https://MorningMindsetMedia.com/Spanish Subscribe to the CHINESE version: https://MorningMindsetMedia.com/Chinese ➖➖➖➖➖➖➖➖➖➖ CONTACT: Carey@careygreen.com   

Chris just got back from a work trip to Madrid He also got to hang out with Matt Venn (and coworker Mike Szczys) in Valencia Dave has a new data center going in across the street Chris enjoyed this episode of Prof G Markets where they talked about the impact of data centers on power and the rise of “behind the meter” generation Dave without internet for a week. Chris has had multiday losses after fiber has been cut in his neighborhood. Humanoid robots…on a plane! Chris has been working on 0201 components on a tiny Bluetooth board The Iran War and subsequent rise in petroleum product sourcing issues is starting to impact the PCB industry PCBs we are used to ordering at low cost (JLC, PCBway, etc) are normally loss leaders to get larger business later Chris found his low cost microscope from Florin/Voltlog trinocular video  lcamtuf will be on the show soon, Chris bought a CNC mill because of a single webpage of his making TagMod board is a new breakout Chris made for injecting power through a 10 pin TagConnect cable. NXP devboards somehow have LEDs as bright as the sun Dave has been revisiting his solar analytics (update: he figured out he’s getting charged more too!) Chris has been working at Canonical (makers of Ubuntu, new owners of Golioth) for a few months now. That was the trip to Spain. Dogfooding your own product Chris created a backronym: “Application Level Program Optimization” or… ALPO Chris built a new vibe coded project for talking to Zephyr devices using Web Serial and passing firmware packages over SMP CI/CD Debian now requires “fully reproducable” builds to harden against supply chain attacks Veritasium video about Linux bug

To become a follower of Jesus, visit: https://MorningMindsetMedia.com/MeetJesus  (NOT a Morning Mindset resource)   ⇒ Get a copy of the MM Companion Journal: https://MorningMindsetMedia.com/journal ➖➖➖➖➖➖➖➖➖➖ TODAY'S SCRIPTURE: Matthew 4:8–10 - Again, the devil took him to a very high mountain and showed him all the kingdoms of the world and their glory. [9] And he said to him, “All these I will give you, if you will fall down and worship me.” [10] Then Jesus said to him, “Be gone, Satan! For it is written, “‘You shall worship the Lord your God and him only shall you serve.’” [quoting Deuteronomy 6:14] (ESV) ➖➖➖➖➖➖➖➖➖➖ FINANCIALLY SUPPORT THE MORNING MINDSET: (not tax-deductible) -- Become a monthly partner: https://mm-gfk-partners.supercast.com/ -- Underwrite one daily episode: https://MorningMindsetMedia.com/daily-sponsor/ -- Give one-time: https://give.cornerstone.cc/careygreen -- Venmo: @CareyNGreen ➖➖➖➖➖➖➖➖➖➖ FOREIGN LANGUAGE VERSIONS OF THIS PODCAST: Subscribe to the SPANISH version: https://MorningMindsetMedia.com/Spanish Subscribe to the CHINESE version: https://MorningMindsetMedia.com/Chinese ➖➖➖➖➖➖➖➖➖➖ CONTACT: Carey@careygreen.com 

To become a follower of Jesus, visit: https://MorningMindsetMedia.com/MeetJesus  (NOT a Morning Mindset resource)   ⇒ Join the MMM Prayer Team: https://MorningMindsetMedia.com/PrayerTeam ➖➖➖➖➖➖➖➖➖➖ TODAY'S SCRIPTURE: Matthew 3:1–3 - In those days John the Baptist came preaching in the wilderness of Judea, [2] “Repent, for the kingdom of heaven is at hand.” [3] For this is he who was spoken of by the prophet Isaiah when he said, “The voice of one crying in the wilderness: ‘Prepare the way of the Lord; make his paths straight.’” [quoting Isaiah 40:3] (ESV) ➖➖➖➖➖➖➖➖➖➖ FINANCIALLY SUPPORT THE MORNING MINDSET: (not tax-deductible) -- Become a monthly partner: https://mm-gfk-partners.supercast.com/ -- Underwrite one daily episode: https://MorningMindsetMedia.com/daily-sponsor/ -- Give one-time: https://give.cornerstone.cc/careygreen -- Venmo: @CareyNGreen ➖➖➖➖➖➖➖➖➖➖ FOREIGN LANGUAGE VERSIONS OF THIS PODCAST: Subscribe to the SPANISH version: https://MorningMindsetMedia.com/Spanish Subscribe to the CHINESE version: https://MorningMindsetMedia.com/Chinese ➖➖➖➖➖➖➖➖➖➖ CONTACT: Carey@careygreen.com 

To become a follower of Jesus, visit: https://MorningMindsetMedia.com/MeetJesus  (NOT a Morning Mindset resource)   ⇒ BECOME A MONTHLY PARTNER: (not tax-deductible) You can find out how to become a monthly partner including how to receive your "thank you" gift - our bonus podcast called "Digging Deeper." God t: https://mm-gfk-partners.supercast.com/ ➖➖➖➖➖➖➖➖➖➖ TODAY'S SCRIPTURE: Matthew 2:1–2 - Now after Jesus was born in Bethlehem of Judea in the days of Herod the king, behold, wise men from the east came to Jerusalem, [2] saying, “Where is he who has been born king of the Jews? For we saw his star when it rose and have come to worship him.” (ESV) Matthew 2:6 - (QUOTING MICAH 5:2) -   “‘And you, O Bethlehem, in the land of Judah, are by no means least among the rulers of Judah; for from you shall come a ruler who will shepherd my people Israel.’” (ESV) ➖➖➖➖➖➖➖➖➖➖ FINANCIALLY SUPPORT THE MORNING MINDSET: (not tax-deductible) -- Become a monthly partner: https://mm-gfk-partners.supercast.com/ -- Underwrite one daily episode: https://MorningMindsetMedia.com/daily-sponsor/ -- Give one-time: https://give.cornerstone.cc/careygreen -- Venmo: @CareyNGreen ➖➖➖➖➖➖➖➖➖➖ FOREIGN LANGUAGE VERSIONS OF THIS PODCAST: Subscribe to the SPANISH version: https://MorningMindsetMedia.com/Spanish Subscribe to the CHINESE version: https://MorningMindsetMedia.com/Chinese ➖➖➖➖➖➖➖➖➖➖ CONTACT: Carey@careygreen.com   

To become a follower of Jesus, visit: https://MorningMindsetMedia.com/MeetJesus  (NOT a Morning Mindset resource)   ⇒ TODAY'S DAILY SPONSOR: ANONYMOUS: In honor of my mom, Gail; a faithful Christian example who has always reminded me of the truth of Isaiah 55:11.   You can sponsor a daily episode of the Morning Mindset too, by going to https://MorningMindsetMedia.com/DailySponsor ➖➖➖➖➖➖➖➖➖➖ TODAY'S SCRIPTURE: Daniel 7:13–14 - “I saw in the night visions, and behold, with the clouds of heaven there came one like a son of man, and he came to the Ancient of Days and was presented before him. [14] And to him was given dominion and glory and a kingdom, that all peoples, nations, and languages should serve him; his dominion is an everlasting dominion, which shall not pass away, and his kingdom one that shall not be destroyed. (ESV) ➖➖➖➖➖➖➖➖➖➖ FINANCIALLY SUPPORT THE MORNING MINDSET: (not tax-deductible) -- Become a monthly partner: https://mm-gfk-partners.supercast.com/ -- Underwrite one daily episode: https://MorningMindsetMedia.com/daily-sponsor/ -- Give one-time: https://give.cornerstone.cc/careygreen -- Venmo: @CareyNGreen ➖➖➖➖➖➖➖➖➖➖ FOREIGN LANGUAGE VERSIONS OF THIS PODCAST: Subscribe to the SPANISH version: https://MorningMindsetMedia.com/Spanish Subscribe to the CHINESE version: https://MorningMindsetMedia.com/Chinese ➖➖➖➖➖➖➖➖➖➖ CONTACT: Carey@careygreen.com 

To become a follower of Jesus, visit: https://MorningMindsetMedia.com/MeetJesus  (NOT a Morning Mindset resource)   ⇒ Listen to our other podcasts: https://MorningMindsetMedia.com ➖➖➖➖➖➖➖➖➖➖ TODAY'S SCRIPTURE: 1 Peter 3:14–16 - But even if you should suffer for righteousness’ sake, you will be blessed. Have no fear of them, nor be troubled, [15] but in your hearts honor Christ the Lord as holy, always being prepared to make a defense to anyone who asks you for a reason for the hope that is in you; yet do it with gentleness and respect, [16] having a good conscience, so that, when you are slandered, those who revile your good behavior in Christ may be put to shame. (ESV) ➖➖➖➖➖➖➖➖➖➖ FINANCIALLY SUPPORT THE MORNING MINDSET: (not tax-deductible) -- Become a monthly partner: https://mm-gfk-partners.supercast.com/ -- Underwrite one daily episode: https://MorningMindsetMedia.com/daily-sponsor/ -- Give one-time: https://give.cornerstone.cc/careygreen -- Venmo: @CareyNGreen ➖➖➖➖➖➖➖➖➖➖ FOREIGN LANGUAGE VERSIONS OF THIS PODCAST: Subscribe to the SPANISH version: https://MorningMindsetMedia.com/Spanish Subscribe to the HINDI version: https://MorningMindsetMedia.com/Hindi Subscribe to the CHINESE version: https://MorningMindsetMedia.com/Chinese ➖➖➖➖➖➖➖➖➖➖ CONTACT: Carey@careygreen.com  ➖➖➖➖➖➖➖➖➖➖ THEME MUSIC: “King’s Trailer” – Creative Commons 0 | Provided by https://freepd.com/   ***All NON-ENGLISH versions of the Morning Mindset are translated using A.I. Dubbing and Translation tools from DubFormer.ai ***All NON-ENGLISH text content (descriptions and titles) are translated using the A.I. functionality of Google Translate.

To become a follower of Jesus, visit: https://MorningMindsetMedia.com/MeetJesus  (NOT a Morning Mindset resource) ➖➖➖➖➖➖➖➖➖➖ ⇒Check out all of Carey's books - for adults and kids, fiction and non-fiction : https://CareyGreen.com/books ➖➖➖➖➖➖➖➖➖➖ TODAY'S SCRIPTURE: Revelation 22:13–17 - “I am the Alpha and the Omega, the first and the last, the beginning and the end.” [14] Blessed are those who wash their robes, so that they may have the right to the tree of life and that they may enter the city by the gates. [15] Outside are the dogs and sorcerers and the sexually immoral and murderers and idolaters, and everyone who loves and practices falsehood. [16] “I, Jesus, have sent my angel to testify to you about these things for the churches. I am the root and the descendant of David, the bright morning star.” [17] The Spirit and the Bride say, “Come.” And let the one who hears say, “Come.” And let the one who is thirsty come; let the one who desires take the water of life without price. (ESV) ➖➖➖➖➖➖➖➖➖➖ FINANCIALLY SUPPORT THE MORNING MINDSET: (not tax-deductible) -- Become a monthly partner: https://mm-gfk-partners.supercast.com/ -- Underwrite one daily episode: https://MorningMindsetMedia.com/daily-sponsor/ -- Give one-time: https://give.cornerstone.cc/careygreen -- Venmo: @CareyNGreen ➖➖➖➖➖➖➖➖➖➖ FOREIGN LANGUAGE VERSIONS OF THIS PODCAST: Subscribe to the SPANISH version: https://MorningMindsetMedia.com/Spanish Subscribe to the HINDI version: https://MorningMindsetMedia.com/Hindi Subscribe to the CHINESE version: https://MorningMindsetMedia.com/Chinese ➖➖➖➖➖➖➖➖➖➖ CONTACT: Carey@careygreen.com  ➖➖➖➖➖➖➖➖➖➖ THEME MUSIC: “King’s Trailer” – Creative Commons 0 | Provided by https://freepd.com/   ***All NON-ENGLISH versions of the Morning Mindset are translated using A.I. Dubbing and Translation tools from DubFormer.ai ***All NON-ENGLISH text content (descriptions and titles) are translated using the A.I. functionality of Google Translate.

To become a follower of Jesus, visit: https://MorningMindsetMedia.com/MeetJesus  (NOT a Morning Mindset resource) ➖➖➖➖➖➖➖➖➖➖ TODAY'S SCRIPTURE: 1 Thessalonians 5:4–11 - But you are not in darkness, brothers, for that day to surprise you like a thief. [5] For you are all children of light, children of the day. We are not of the night or of the darkness. [6] So then let us not sleep, as others do, but let us keep awake and be sober. [7] For those who sleep, sleep at night, and those who get drunk, are drunk at night. [8] But since we belong to the day, let us be sober, having put on the breastplate of faith and love, and for a helmet the hope of salvation. [9] For God has not destined us for wrath, but to obtain salvation through our Lord Jesus Christ, [10] who died for us so that whether we are awake or asleep we might live with him. [11] Therefore encourage one another and build one another up, just as you are doing. (ESV) ➖➖➖➖➖➖➖➖➖➖ FINANCIALLY SUPPORT THE MORNING MINDSET: (not tax-deductible) -- Become a monthly partner: https://mm-gfk-partners.supercast.com/ -- Underwrite one daily episode: https://MorningMindsetMedia.com/daily-sponsor/ -- Give one-time: https://give.cornerstone.cc/careygreen -- Venmo: @CareyNGreen ➖➖➖➖➖➖➖➖➖➖ FOREIGN LANGUAGE VERSIONS OF THIS PODCAST: Subscribe to the SPANISH version: https://MorningMindsetMedia.com/Spanish Subscribe to the HINDI version: https://MorningMindsetMedia.com/Hindi Subscribe to the CHINESE version: https://MorningMindsetMedia.com/Chinese ➖➖➖➖➖➖➖➖➖➖ CONTACT: Carey@careygreen.com  ➖➖➖➖➖➖➖➖➖➖ THEME MUSIC: “King’s Trailer” – Creative Commons 0 | Provided by https://freepd.com/   ***All NON-ENGLISH versions of the Morning Mindset are translated using A.I. Dubbing and Translation tools from DubFormer.ai ***All NON-ENGLISH text content (descriptions and titles) are translated using the A.I. functionality of Google Translate.

Fedora Hummingbird, RHEL Forever, and Red Hat's AI play: three big Summit takeaways, and why they matter far beyond Red Hat.Sponsored By:Jupiter Party Annual Membership: Put your support on automatic with our annual plan, and get one month of membership for free!Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love.Support LINUX UnpluggedLinks:

To become a follower of Jesus, visit: https://MorningMindsetMedia.com/MeetJesus  (NOT a Morning Mindset resource) ➖➖➖➖➖➖➖➖➖➖ TODAY'S SCRIPTURE: 1 Thessalonians 4:15–18 - For this we declare to you by a word from the Lord, that we who are alive, who are left until the coming of the Lord, will not precede those who have fallen asleep. [16] For the Lord himself will descend from heaven with a cry of command, with the voice of an archangel, and with the sound of the trumpet of God. And the dead in Christ will rise first. [17] Then we who are alive, who are left, will be caught up together with them in the clouds to meet the Lord in the air, and so we will always be with the Lord. [18] Therefore encourage one another with these words. (ESV) ➖➖➖➖➖➖➖➖➖➖ FINANCIALLY SUPPORT THE MORNING MINDSET: (not tax-deductible) -- Become a monthly partner: https://mm-gfk-partners.supercast.com/ -- Underwrite one daily episode: https://MorningMindsetMedia.com/daily-sponsor/ -- Give one-time: https://give.cornerstone.cc/careygreen -- Venmo: @CareyNGreen ➖➖➖➖➖➖➖➖➖➖ FOREIGN LANGUAGE VERSIONS OF THIS PODCAST: Subscribe to the SPANISH version: https://MorningMindsetMedia.com/Spanish Subscribe to the HINDI version: https://MorningMindsetMedia.com/Hindi Subscribe to the CHINESE version: https://MorningMindsetMedia.com/Chinese ➖➖➖➖➖➖➖➖➖➖ CONTACT: Carey@careygreen.com  ➖➖➖➖➖➖➖➖➖➖ THEME MUSIC: “King’s Trailer” – Creative Commons 0 | Provided by https://freepd.com/   ***All NON-ENGLISH versions of the Morning Mindset are translated using A.I. Dubbing and Translation tools from DubFormer.ai ***All NON-ENGLISH text content (descriptions and titles) are translated using the A.I. functionality of Google Translate.

To become a follower of Jesus, visit: https://MorningMindsetMedia.com/MeetJesus  (NOT a Morning Mindset resource)   ⇒ TELL SOMEONE ABOUT THE MORNING MINDSET - Your personal recommendation can make an eternal difference in the lives of the people you know! STEP ONE: Go to http://YourMorningMindset.com  STEP TWO: Share that page with someone you know! ➖➖➖➖➖➖➖➖➖➖ TODAY'S SCRIPTURE: Ephesians 4:10–16 - He who descended is the one who also ascended far above all the heavens, that he might fill all things.) [11] And he gave the apostles, the prophets, the evangelists, the shepherds and teachers, [12] to equip the saints for the work of ministry, for building up the body of Christ, [13] until we all attain to the unity of the faith and of the knowledge of the Son of God, to mature manhood, to the measure of the stature of the fullness of Christ, [14] so that we may no longer be children, tossed to and fro by the waves and carried about by every wind of doctrine, by human cunning, by craftiness in deceitful schemes. [15] Rather, speaking the truth in love, we are to grow up in every way into him who is the head, into Christ, [16] from whom the whole body, joined and held together by every joint with which it is equipped, when each part is working properly, makes the body grow so that it builds itself up in love. (ESV) ➖➖➖➖➖➖➖➖➖➖ FINANCIALLY SUPPORT THE MORNING MINDSET: (not tax-deductible) -- Become a monthly partner: https://mm-gfk-partners.supercast.com/ -- Underwrite one daily episode: https://MorningMindsetMedia.com/daily-sponsor/ -- Give one-time: https://give.cornerstone.cc/careygreen -- Venmo: @CareyNGreen ➖➖➖➖➖➖➖➖➖➖ FOREIGN LANGUAGE VERSIONS OF THIS PODCAST: Subscribe to the SPANISH version: https://MorningMindsetMedia.com/Spanish Subscribe to the HINDI version: https://MorningMindsetMedia.com/Hindi Subscribe to the CHINESE version: https://MorningMindsetMedia.com/Chinese ➖➖➖➖➖➖➖➖➖➖ CONTACT: Carey@careygreen.com  ➖➖➖➖➖➖➖➖➖➖ THEME MUSIC: “King’s Trailer” – Creative Commons 0 | Provided by https://freepd.com/   ***All NON-ENGLISH versions of the Morning Mindset are translated using A.I. Dubbing and Translation tools from DubFormer.ai ***All NON-ENGLISH text content (descriptions and titles) are translated using the A.I. functionality of Google Translate.  

To become a follower of Jesus, visit: https://MorningMindsetMedia.com/MeetJesus  (NOT a Morning Mindset resource)   ⇒ Get a copy of the MM Companion Journal: https://MorningMindsetMedia.com/journal ➖➖➖➖➖➖➖➖➖➖ TODAY'S SCRIPTURE: Acts 13:1–3 - Now there were in the church at Antioch prophets and teachers, Barnabas, Simeon who was called Niger, Lucius of Cyrene, Manaen a lifelong friend of Herod the tetrarch, and Saul. [2] While they were worshiping the Lord and fasting, the Holy Spirit said, “Set apart for me Barnabas and Saul for the work to which I have called them.” [3] Then after fasting and praying they laid their hands on them and sent them off. (ESV) ➖➖➖➖➖➖➖➖➖➖ FINANCIALLY SUPPORT THE MORNING MINDSET: (not tax-deductible) -- Become a monthly partner: https://mm-gfk-partners.supercast.com/ -- Underwrite one daily episode: https://MorningMindsetMedia.com/daily-sponsor/ -- Give one-time: https://give.cornerstone.cc/careygreen -- Venmo: @CareyNGreen ➖➖➖➖➖➖➖➖➖➖ FOREIGN LANGUAGE VERSIONS OF THIS PODCAST: Subscribe to the SPANISH version: https://MorningMindsetMedia.com/Spanish Subscribe to the HINDI version: https://MorningMindsetMedia.com/Hindi Subscribe to the CHINESE version: https://MorningMindsetMedia.com/Chinese ➖➖➖➖➖➖➖➖➖➖ CONTACT: Carey@careygreen.com  ➖➖➖➖➖➖➖➖➖➖ THEME MUSIC: “King’s Trailer” – Creative Commons 0 | Provided by https://freepd.com/   ***All NON-ENGLISH versions of the Morning Mindset are translated using A.I. Dubbing and Translation tools from DubFormer.ai ***All NON-ENGLISH text content (descriptions and titles) are translated using the A.I. functionality of Google Translate.

To become a follower of Jesus, visit: https://MorningMindsetMedia.com/MeetJesus  (NOT a Morning Mindset resource) ➖➖➖➖➖➖➖➖➖➖ TODAY'S SCRIPTURE: Acts 9:1–6 - But Saul, still breathing threats and murder against the disciples of the Lord, went to the high priest [2] and asked him for letters to the synagogues at Damascus, so that if he found any belonging to the Way, men or women, he might bring them bound to Jerusalem. [3] Now as he went on his way, he approached Damascus, and suddenly a light from heaven shone around him. [4] And falling to the ground, he heard a voice saying to him, “Saul, Saul, why are you persecuting me?” [5] And he said, “Who are you, Lord?” And he said, “I am Jesus, whom you are persecuting. [6] But rise and enter the city, and you will be told what you are to do.” (ESV) ➖➖➖➖➖➖➖➖➖➖ FINANCIALLY SUPPORT THE MORNING MINDSET: (not tax-deductible) -- Become a monthly partner: https://mm-gfk-partners.supercast.com/ -- Underwrite one daily episode: https://MorningMindsetMedia.com/daily-sponsor/ -- Give one-time: https://give.cornerstone.cc/careygreen -- Venmo: @CareyNGreen ➖➖➖➖➖➖➖➖➖➖ FOREIGN LANGUAGE VERSIONS OF THIS PODCAST: Subscribe to the SPANISH version: https://MorningMindsetMedia.com/Spanish Subscribe to the HINDI version: https://MorningMindsetMedia.com/Hindi Subscribe to the CHINESE version: https://MorningMindsetMedia.com/Chinese ➖➖➖➖➖➖➖➖➖➖ CONTACT: Carey@careygreen.com  ➖➖➖➖➖➖➖➖➖➖ THEME MUSIC: “King’s Trailer” – Creative Commons 0 | Provided by https://freepd.com/   ***All NON-ENGLISH versions of the Morning Mindset are translated using A.I. Dubbing and Translation tools from DubFormer.ai ***All NON-ENGLISH text content (descriptions and titles) are translated using the A.I. functionality of Google Translate.

To become a follower of Jesus, visit: https://MorningMindsetMedia.com/MeetJesus  (NOT a Morning Mindset resource)   ⇒ Join the MMM Prayer Team: https://MorningMindsetMedia.com/PrayerTeam ➖➖➖➖➖➖➖➖➖➖ TODAY'S SCRIPTURE: Acts 2:1–11 - When the day of Pentecost arrived, they were all together in one place. [2] And suddenly there came from heaven a sound like a mighty rushing wind, and it filled the entire house where they were sitting. [3] And divided tongues as of fire appeared to them and rested on each one of them. [4] And they were all filled with the Holy Spirit and began to speak in other tongues as the Spirit gave them utterance. [5] Now there were dwelling in Jerusalem Jews, devout men from every nation under heaven. [6] And at this sound the multitude came together, and they were bewildered, because each one was hearing them speak in his own language. [7] And they were amazed and astonished, saying, “Are not all these who are speaking Galileans? [8] And how is it that we hear, each of us in his own native language? [9] Parthians and Medes and Elamites and residents of Mesopotamia, Judea and Cappadocia, Pontus and Asia, [10] Phrygia and Pamphylia, Egypt and the parts of Libya belonging to Cyrene, and visitors from Rome, [11] both Jews and proselytes, Cretans and Arabians—we hear them telling in our own tongues the mighty works of God.” (ESV) ➖➖➖➖➖➖➖➖➖➖ FINANCIALLY SUPPORT THE MORNING MINDSET: (not tax-deductible) -- Become a monthly partner: https://mm-gfk-partners.supercast.com/ -- Underwrite one daily episode: https://MorningMindsetMedia.com/daily-sponsor/ -- Give one-time: https://give.cornerstone.cc/careygreen -- Venmo: @CareyNGreen ➖➖➖➖➖➖➖➖➖➖ FOREIGN LANGUAGE VERSIONS OF THIS PODCAST: Subscribe to the SPANISH version: https://MorningMindsetMedia.com/Spanish Subscribe to the HINDI version: https://MorningMindsetMedia.com/Hindi Subscribe to the CHINESE version: https://MorningMindsetMedia.com/Chinese ➖➖➖➖➖➖➖➖➖➖ CONTACT: Carey@careygreen.com  ➖➖➖➖➖➖➖➖➖➖ THEME MUSIC: “King’s Trailer” – Creative Commons 0 | Provided by https://freepd.com/   ***All NON-ENGLISH versions of the Morning Mindset are translated using A.I. Dubbing and Translation tools from DubFormer.ai ***All NON-ENGLISH text content (descriptions and titles) are translated using the A.I. functionality of Google Translate.