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A tick bite that can trigger a lifelong allergy to red meat sounds almost unbelievable, but public health officials are taking the growing threat of alpha-gal syndrome seriously. Robert Goldstein, ASTHO member and commissioner of the Massachusetts Department of Public Health, shares with us why Massachusetts recently made alpha-gal syndrome a reportable condition and what the state hopes to learn through expanded surveillance. Dr. Goldstein explains how the spread of the Lone Star tick into parts of Massachusetts, including Cape Cod, Martha's Vineyard, and Nantucket, has led to rising diagnoses of the condition. The conversation explores how public health agencies are adapting traditional infectious disease surveillance systems to monitor a non-infectious condition, what the reporting data could reveal about emerging tick-borne risks, and how public health and wildlife officials are working together to better understand the relationship between deer populations and tick exposure.Leading Change Workshop - July 2026Prepared Together: Public Health Collaboration in Response to a Botulism Outbreak
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.
Élisabeth Borne a été Première ministre de la France pendant près de vingt mois. Pendant cette période, elle est devenue l'un des visages les plus commentés de la politique française. Derrière le 49.3, les critiques, les débats et l'image publique, il y a pourtant une histoire beaucoup plus intime.Dans cet épisode de Conversations avant la fin du monde, Élisabeth Borne se livre dans une discussion rare sur Emmanuel Macron, les coulisses du pouvoir, son expérience à Matignon, ce que signifie gouverner sous une exposition médiatique permanente, mais aussi sur sa vie privée, les rumeurs qui ont accompagné son parcours, notamment les rumeurs concernant son homosexualité, et le regard des autres.La conversation revient aussi sur son histoire familiale et sur son père, résistant pendant la Seconde Guerre mondiale et rescapé d'Auschwitz. Elle raconte comment cette mémoire familiale a influencé sa vision du monde, son engagement et sa façon d'exercer le pouvoir. Une conversation politique, personnelle et intime avec une femme que tout le monde croit connaître. Abonnez vous pour ne manquer aucun épisode de Conversations avant la fin du monde ❤️Merci Élisabeth Borne d'avoir participé au podcast !instagram : @julialayaniProd vidéo, audio, miniature et plein d'autres trucs : Illustre ! Studios https://agenceillustre.frComment me contacter ? julialayani@gmail.com ❤️Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.
Dr. Ceinwen Pope, Medical Health Officer for the Sea to Sky region with Vancouver Coastal Health Learn more about your ad choices. Visit megaphone.fm/adchoices
WBZ NewsRadio’s James Rojas reports.See omnystudio.com/listener for privacy information.
Chad and Mike discuss some of the diseases that can be contracted by being bitten by a tick. The most recent disease is something known as the Alpha Gal Syndrome, which is really an allergic reaction to mammalian meat products. It's an interesting discussion that may make you want to stay inside.If you do want to go outside, download crisscrossing Science from wherever you find your favorite podcasts and take us with you!
Elle s'est affranchie du parti présidentiel en créant son propre mouvement et veut peser dans le débat pour 2027 en faisant émerger une candidature au centre. L'ancienne Première ministre Elisabeth Borne est l'invitée de RTL Matin. Ecoutez L'invité RTL de 7h40 avec Thomas Sotto du 01 juin 2026.Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.
As ticks and tick-borne diseases rise across Canada due to warmer weather, experts are warning about two invasive species: the lone star and Asian longhorned ticks. Entomologist Jade Savage, creator and director of the eTick monitoring platform, says authorities are closely tracking them. In the meantime, she gives practical steps we can take to reduce the risk of tick bites.For our episode on anaplasmosis, an emerging tick-borne disease in Canada, click here.For transcripts of The Dose, please visit: lnk.to/dose-transcripts. Transcripts of each episode will be made available by the next workday. For more episodes of this podcast, click this link.
Could one tick bite change the way your body reacts to food?Sign up for weekly webinars: Weekly Webinars - Independent Medical Alliance This week on IMA's weekly webinar, Dr. Ryan Cole is joined by Dr. Kat Lindley and Dr. Lynn Fynn for a practical conversation on Alpha-Gal Syndrome and tick-borne illness beyond Lyme disease.The discussion will begin with Alpha-Gal Syndrome, a tick-associated condition currently receiving more attention, then broaden into engineered insects, public concern, and what patients should know about tick-borne illness beyond Lyme.The doctors will also cover what to do after a tick bite, symptoms to watch for, prevention strategies, and practical questions families may face at home or while traveling.Topics include:• Alpha-Gal Syndrome and delayed allergic reactions• Tick-borne illness beyond Lyme disease• Engineered insects and public concern• Public health transparency and patient questions• What to do after a tick bite• Prevention without panic• Children, families, pets, and travel considerationsFirst aired 13th May 2026Also:• Donate: https://imahealth.org/donate/• Follow: https://imahealth.org/contact/• Webinar: https://imahealth.org/category/weekly-webinars/• Treatment: https://imahealth.org/treatment-protocols/• Medical Disclaimer: https://imahealth.org/about/terms-and-conditions/About IMA (Formerly FLCCC Alliance)The Independent Medical Alliance™ is a nonprofit, 501(c)(3) organization and coalition of physicians, nurses, and healthcare professionals united by a mission to restore trust and transparency in healthcare. The organization's mission is one driven by Honest Medicine™ that prioritizes patients above profits and emphasizes long-term wellness and disease prevention through empowerment of both physicians and their patients. With a focus on evidence-based medicine, informed consent, and systemic reform, IMA is driving a movement to create a more compassionate and effective healthcare system.For more information about the Independent Medical Alliance, visit www.IMAhealth.org
durée : 00:22:54 - La députée du Calvados, ancienne Première ministre, était l'invitée du "8h30 franceinfo" le mardi 26 mai 2026. - réalisation : Agathe Lambret, Paul Larrouturou Vous aimez ce podcast ? Pour écouter tous les épisodes sans limite, rendez-vous sur Radio France
Over the last half century, diseases carried by insects — such as malaria and dengue, Zika and Lyme disease — have greatly increased. Sociologists Brent Kaup and Kelly Austin argue that the surge in vector-borne disease has been fueled by neoliberal capitalism, at times in unexpected ways, such as through loosened financial regulations governing mortgages and health insurance, as well as the gutting of health care. (Encore presentation.) Brent Z. Kaup and Kelly F. Austin, The Pathogens of Finance: How Capitalism Breeds Vector-Borne Disease UC Press, 2025 The post Capitalism and Insect-Borne Diseases appeared first on KPFA.
Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.
Plusieurs débats au cœur de l'actualité, les Grandes gueules ont le choix, en débattre ou non : Bébé retrouvé ivre : toutes les pistes retenues Élisabeth Borne lance son mouvement politique La traque au cobra royal se poursuit près de Toulouse
A deadly hantavirus outbreak connected to the cruise ship MV Hondius has triggered quarantines, emergency medical flights, and growing public concern across multiple countries. Tonight we break down what's actually happening, the confirmed deaths, the Andes strain fears, and why some experts say this situation is very different from the panic spreading online. We also dive into the exploding tick population across America and the alarming rise of alpha-gal syndrome, a condition where one tick bite can suddenly make someone allergic to red meat. From mysterious outbreaks to strange environmental changes, we're asking the questions a lot of people are already searching for.Check out our merch store
Jame and Callum are joined by Christina Petridou. In this episode we give you an overview of ticks and the key infections they transmit..., but NOT Lyme disease.Some of the infections we DO cover include: Rickettsiosis (spotted fever group), relapsing fevers, anaplasmosis, ehrlichiosis, babesiosis, TBE & CCHF. Not Lyme. THIS IS NOT A LYME DISEASE EPISODE. Show notes (including lots of summary tables and horrible tick pics) for this episode are here. Register for the BIA Spring Meeting 2026 here! Support the showSupport us on: Patreon: https://www.patreon.com/cw/IDIOTS_podBuyMeACoffee: https://www.buymeacoffee.com/idiotspodPrep notes for completed episodes can be found here (Not all episodes have prep notes).If you are enjoying the podcast please leave a review on your preferred podcast app!
▶ Soutenez notre campagne pour la TNT IDF :
Ecoutez Le grand jury avec Olivier Bost du 10 mai 2026.Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.
durée : 00:03:30 - Le Billet politique - par : Jean Leymarie - Élisabeth Borne crée son mouvement politique. Candidate ? Pas pour l'instant. Mais très critique d'Emmanuel Macron. Comme Edouard Philippe, et comme Gabriel Attal. Vous aimez ce podcast ? Pour écouter tous les épisodes sans limite, rendez-vous sur Radio France
durée : 00:23:35 - L'ancien Premier ministre était l'invité "8h30 franceinfo" jeudi 7 mai 2026. - réalisation : Agathe Lambret, Paul Larrouturou Vous aimez ce podcast ? Pour écouter tous les épisodes sans limite, rendez-vous sur Radio France
Plusieurs débats au cœur de l'actualité, les Grandes gueules ont le choix, en débattre ou non : -Chihuahua pas tenu en laisse, le maître au commissariat ! -Élisabeth Borne se retire de la direction de Renaissance ! -Nomination à la Banque de France : le grand verrouillage !
durée : 00:22:20 - Le sept neuf - par : Benjamin Duhamel, Florence Paracuellos - Elisabeth Borne, ancienne Première ministre, autrice de "Réveillons-nous" (Robert Laffont), annonce qu'elle se retire de la direction de Renaissance, car elle ne se "retrouve pas" dans la ligne du parti. Elle veut se consacrer à sa propre structure, Bâtissons ensemble. - invités : Élisabeth Borne Femme politique française Vous aimez ce podcast ? Pour écouter tous les épisodes sans limite, rendez-vous sur Radio France
durée : 00:22:20 - Les interviews d'Inter - par : Benjamin Duhamel, Florence Paracuellos - Elisabeth Borne, ancienne Première ministre, autrice de "Réveillons-nous" (Robert Laffont), annonce qu'elle se retire de la direction de Renaissance, car elle ne se "retrouve pas" dans la ligne du parti. Elle veut se consacrer à sa propre structure, Bâtissons ensemble. - invités : Élisabeth Borne Femme politique française Vous aimez ce podcast ? Pour écouter tous les épisodes sans limite, rendez-vous sur Radio France
This week, O'Shea and T.J. are joined by NXT Superstar and current North American Champion, Myles Borne. Myles shared his inspiring story of being born with "Persistent Pulmonary Hypertension of the Newborn" which resulted in him being born with hearing loss, to currently holding gold with NXT. Myles credits his parents with instilling in him the mantra "Why Not You" which lead to him never allowing his situation to hold him back. Myles also shared how his love of pro wrestling started...how years of amateur wrestling didn't prepare him for WWE...his idea of a perfect day...his Wrestlemania Dream Matches...meeting Legends at the Performance Center, his Bar Fight Crew and much more. O'Shea and T.J. also respond to the situation between World Heavyweight Champion, Roman Reigns & Jacob Fatu that exploded this past Monday on Raw! Learn more about your ad choices. Visit podcastchoices.com/adchoices
A revival sermon from Mark 2:1-12 about bringing others to Christ.
Recomendados de la semana en iVoox.com Semana del 5 al 11 de julio del 2021
Un poquito de cine donde se habla de: -Un Paseo por el Borne de Nick Igea. -La Clase de Laurent Cantet. - Léo y Lou de Carlos Solano. - Ay, Carmela de Carlos Saura Y algunos estrenos - Michael dirigida por Antoine Fuqua - La Momia de Lee Cronin - Kraken, El Libro Negro de las Horas de Manuel Sanabria y Joaquín Llamas - El Diablo Viste de Prada II de David Frankel
durée : 01:59:23 - Les Matins du samedi - par : Nicolas Herbeaux, Margaux Leridon - Nicolas Herbeaux reçoit l'ancienne ministre de la Culture en France et actuelle directrice du journal libanais L'Orient Le Jour, Rima Abdul Malak. Il reçoit aussi Nina Yargekov pour son guide de Budapest. Enfin, les Matins s'intéressent à la loi sur le "plaider-coupable"... - réalisation : Jean-Christophe Francis - invités : Rima Abdul Malak Ancienne ministre de la Culture du gouvernement Borne; Vincent Sizaire Magistrat, maître de conférence associé et membre du centre de droit pénal et de criminologie de l'université de Paris Nanterre; Nina Yargekov Romancière
durée : 00:36:02 - L'Invité(e) des Matins du samedi - par : Nicolas Herbeaux, Margaux Leridon - Nicolas Herbeaux reçoit Rima Abdul Malak, directrice du journal L'Orient Le Jour et ancienne ministre de la Culture en France, à l'occasion de la semaine thématique "La culture à l'épreuve" sur France Culture. - réalisation : Jean-Christophe Francis - invités : Rima Abdul Malak Ancienne ministre de la Culture du gouvernement Borne
The Drunk Guys mutate into more beer this week when they read Borne by Jeff VanderMeer. They genetically enhance: Dead Wax by Foam Brewers, and Yeti Confetti, Venomous Villains, and Superhero Sidekick all by KCBC. Join the Drunk Guys next Tuesday when they read The Shawshank Redemption by Stephen King. The Drunk Guys now have a Patreon! The Drunk Guys Book Club Podcast can be found on Apple Podcasts, Google Podcasts, Spotify, Stitcher, PlayerFM, Overcast, and where ever fine podcasts can be found. We are also part of the Hopped Up Network of independent beer podcasters. If you're drunk enough to enjoy the Podcast, please give us a rating. To save time, just round up to five stars. Also, please follow us on Twitter, Instagram, and Facebook. There's no excuse to miss another Drunk Guys episode, announcement, or typo!
Why public health officials are worried about the spread of flea-borne disease typhus and how the weather plays a critical part. We'll talk about the chaotic presale of Olympic tickets for locals. And free concerts are coming to downtown LA during your lunch break. Support The L.A. Report by donating at LAist.com/join and by visiting https://laist.comSupport the show: https://laist.com
The Drunk Guys drink 1,984 beers this week when they read 1Q84 by Haruki Murakami. They enter an alternate universe after drinking: Wangies by Other Half, KBS by Founders, and Superdelic Green Nuggets by Other Half. Join the Drunk Guys next Tuesday when they read Borne by Jeff Vandermeer The Drunk Guys now have a Patreon! The Drunk Guys Book Club Podcast can be found on Apple Podcasts, Google Podcasts, Spotify, Stitcher, PlayerFM, Overcast, and where ever fine podcasts can be found. We are also part of the Hopped Up Network of independent beer podcasters. If you're drunk enough to enjoy the Podcast, please give us a rating. To save time, just round up to five stars. Also, please follow us on Twitter, Instagram, and Facebook. There's no excuse to miss another Drunk Guys episode, announcement, or typo!
Happy Sunday dear friend! Today's talk is a bit of a miracle for me, I couldn't do it on my own, the Spirit of God helped!
1. Vláda zavádza regulácie, no deformuje trh s palivami 2. Vláda chcela šetriť, no vytvorila bizarný problém 3. Čínski výrobcovia pomáhajú rozhýbať trh s elektromobilmi 4. Najväčšia diaľničná zákazka znovu viazne, spor o podmienky môže oddialiť dokončenie D1
Tick-borne diseases are on the rise in the northeastern US, with many ticks carrying more than one pathogen. So reports a recent analysis published in Ecosphere by researchers at Cary Institute of Ecosystem Studies and the SUNY Center for Vector-Borne... Read More ›
10. Paul Thomas Chamberlain: Examines the Yalta Conference, where Roosevelt sought post-war cooperation with Stalin,. He analyzes the inevitable Soviet dominance in Eastern Europe and the staggering human cost borne by Soviet citizens during the war,. (35 words) (10)1943 REGGIO ITALY
Check out YEBO Media at https://yebomedia.org/ and listen to Michael's mixtape episode at https://yebomedia.org/podcasts_episode/mixtape-vol-4-denver-scholarship-foundation/ Watch this episode on YouTube at Youtube.com/@didthatagewellFollow the podcast on IG https://instagram.com/didthatagewellTikTok https://tiktok.com/@didthatagewellpod Thank you to Spyder Moving & Storage support! Visit https://spydermoving.com to get a free quote and follow https://instagram.com/spydermovingandstorage on IG. Check out the upcoming comedy shows at Dude, IDK at https://dudeidkstudios.com and follow https://instagram.com/dude1dk on IG.
The Snug Crew goes live to review NXT and break down all the biggest matches, results, highlights, and moments from the show. On this episode, NXT Champion Joe Hendry teams with North American Champion Myles Borne to face Ricky Saints and Ethan Page, the Women's Speed Tournament Final takes center stage, and more.Join the Snug Wrestling Podcast for full NXT reactions, match analysis, standout moments, winners and losers, and everything you need to know from this week's show. Tighten up and tune in with the Snug Crew for all the details and results.#NXT #WWENXT #JoeHendry #EthanPage #RickySaints #MylesBorne #SnugWrestlingPodcast #WrestlingPodcast #NXTReview #NXTResults #WWE
The Dadley Boyz review last night's episode of NXT and discuss...William Regal, Fit Finlay & a Birthright BETRAYAL!Ethan Page & Ricky Saints vs. Joe Hendry & Myles Borne!Tony D'Angelo wants to be world champion!Wren Sinclair wins the Speed tournament!Could Booker T wrestle again?!ENJOY!Follow us on Twitter:@AdamWilbourn@MichaelHamflett@MSidgwick@WhatCultureWWEFor more awesome content, check out: whatculture.com/wwe Hosted on Acast. See acast.com/privacy for more information.
Nate Lindberg and Kelly Wells discuss Ethan Page & Ricky Saints vs. Joe Hendry & Myles Borne, Wren Sinclair vs. Thea Hail, Lainey Reid vs. Sol Ruca, Tavion Heights & Charlie Dempsey vs. Uriah Connors & Lexis King, Jasper Troy vs. Eli Knight vs. Sean Legacy, and more.Become a supporter of this podcast: https://www.spreaker.com/podcast/pwtorch-dailycast--3276210/support.
Bodyslam.net's WWE NXT Post Show with Cory Hays is back. Cory breaks down all the results and runs down all the action and news out of this week's episode of WWE NXT on the CW!-Thea Hail vs Wren Sinclair-Sol Ruca vs Lainey Reid-Jasper Troy vs Sean Legacy vs Eli Knight-Tavion Heights and Charlie Dempsey vs Lexis King and Uriah Connors -Joe Hendry and Myles Borne vs Ethan Page and Ricky Saints#WWENXT #WWE #Wrestling #ProWrestling #Bodyslam
Join Dr. Clancy, Dr. Appenheimer & Dr. Barker as they discuss prevention, diagnosis and treatment of various tick-borne illnesses. CME Credit Available: https://uiowa.cloud-cme.com/course/courseoverview?eid=82296 Host: Gerard Clancy, MD Senior Associate Dean for External Affairs Professor of Psychiatry and Emergency Medicine University of Iowa Carver College of Medicine Guests: Ben Appenheimer, MD Clinical Associate Professor of Internal Medicine-Infectious Diseases Assistant Director, Infectious Diseases Fellowship Program Associate Clinical Director, Infectious Diseases Co-Medical Director, TelePrEP, University of Iowa Health Care University of Iowa Carver College of Medicine Jason Barker, MD Associate Professor of Internal Medicine-Infectious Diseases University of Iowa Carver College of Medicine Financial Disclosures: Dr. Gerard Clancy, his guests, and Rounding@IOWA planning committee members have disclosed no relevant financial relationships. Nurse: The University of Iowa Roy J. and Lucille A. Carver College of Medicine designates this activity for a maximum of 1.0 ANCC contact hour. Pharmacist and Pharmacy Tech: The University of Iowa Roy J. and Lucille A. Carver College of Medicine designates this knowledge-based activity for a maximum of 1.0 ACPE contact hours. Credit will be uploaded to the NABP CPE Monitor within 60 days after the activity completion. Pharmacists must provide their NABP ID and DOB (MMDD) to receive credit. JA0000310-0000-26-038-H01 Physician: The University of Iowa Roy J. and Lucille A. Carver College of Medicine designates this enduring material for a maximum of 1.0 AMA PRA Category 1 CreditTM. Physicians should claim only the credit commensurate with the extent of their participation in the activity. Other Health Care Providers: A certificate of completion will be available after successful completion of the course. (It is the responsibility of licensees to determine if this continuing education activity meets the requirements of their professional licensure board.)
Dr. Bobbi S. Pritt joins Tick Boot Camp Podcast for a scientific deep dive into Lyme disease diagnostics, co-infections, and emerging tick-borne pathogens. Dr. Pritt is Professor and Chair of Laboratory Medicine and Pathology at Mayo Clinic and Director of the Clinical Parasitology Laboratory in Rochester, Minnesota. An internationally recognized expert in vector-borne diseases, she is globally known for discovering new tick-borne pathogens—including Borrelia mayonii and Ehrlichia muris eauclairensis—and for advancing cutting-edge molecular and metagenomic diagnostic testing used nationwide. This episode offers essential clarity for anyone navigating Lyme disease, unexplained symptoms, or confusing test results. Dr. Pritt explains why standard tests often miss early Lyme, how PCR and molecular tools can detect active infection, and what metagenomic sequencing may offer for more accurate and comprehensive diagnostics in the future. Episode Summary Dr. Pritt breaks down how Lyme and other tick-borne diseases are detected through antibody testing, PCR, tissue analysis, and cutting-edge molecular methods. She explains how her lab discovered multiple new pathogens in the upper Midwest, the role of tick species in disease transmission, and why co-infections complicate diagnosis. This conversation also explores geographic spread, climate change, tick behavior, and the strengths and limitations of today's test algorithms. Key Topics • Discovery of Borrelia mayonii as a second cause of Lyme disease in the U.S. • Identification and characterization of Ehrlichia muris eauclairensis • Geographic hotspots and why the upper Midwest produces unique pathogens • Tick species differences: blacklegged vs. lone star ticks and their hunting strategies • Co-feeding in ticks and its role in pathogen evolution • Why early Lyme tests often return false-negative results • The science behind false positives and cross-reactivity • PCR advantages and limitations for detecting Borrelia • When skin biopsies can outperform blood tests • Differentiating Lyme, B. miyamotoi, Anaplasma, Babesia, and Powassan virus • When clinicians should order a full tick-borne disease panel • How climate and ecological changes drive new tick-borne threats • The promise of metagenomics and immune-signature diagnostics What You'll Learn • Why current Lyme testing algorithms struggle in early infection • How new tick-borne pathogens are discovered and validated • Why lone star ticks are more aggressive and changing regional risk • When and why molecular testing is more effective • What symptoms point to co-infections needing additional testing • Why doxycycline is not effective for certain pathogens like Babesia • How metagenomic sequencing could identify every pathogen in a single sample • Where diagnostic innovation is heading and what patients can expect
The Dadley Boyz review last night's episode of NXT and discuss...Zaria BETRAYS Sol Ruca!Myles Borne is North American CHAMPION!New tag team champions CROWNED!Elio LeFleur wins the Speed Title!Thea Hail beats Blake Monroe AGAIN?!ENJOY!Follow us on Twitter:@AdamWilbourn@MichaelHamflett@MSidgwick@WhatCultureWWEFor more awesome content, check out: whatculture.com/wwe Hosted on Acast. See acast.com/privacy for more information.
Alex (@AlexSourGraps) and Kate (@MissKatefabe) review tonight's episode of NXT, February 24, 2026, including: - WWE Speed Championship Triple Threat Match: Jasper Troy (c) vs Eli Knight vs Elio LeFleur - Uriah Connors vs Kale Dixon - WWE Speed Women's Tournament Match: Blake Monroe vs Thea Hail - Keanu Carver vs Sean Legacy - NXT Tag Team Championship Match: DarkState (c) (Osiris Griffin & Saquon Shugars) vs The Vanity Project (Brad Baylor & Ricky Smokes) - NXT North American Championship Match: Ethan Page (c) vs Myles Borne - NXT Women's Championship Match: Jacy Jayne (c) vs Sol Ruca If you want to bet on Wrestling, or any other sport, check out our new partner where we get ALL of our odds! https://mybookie.website/joinwithFIGHTFUL and use the promo code FIGHTFUL. Deposit $100, get $50. Go in with $200, and they'll make it $100! For a limited time, our listeners get 50% off FOR LIFE, Free Shipping, AND 3 Free Gifts at Mars Men at Mengotomars.com Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.
Nate Lindberg and Kelly Wells discuss Ethan Page vs. Myles Borne, Zaria finally turning on Sol Ruca, two other title changes, and more.Become a supporter of this podcast: https://www.spreaker.com/podcast/pwtorch-dailycast--3276210/support.
Isaiah 53:1-6Speaker: Tim Smith
Industrial Talk is onsite at MD&M West and talking to Frederic Borne, VP at Resonetics about "Medtech manufacturing and microfabrication solutions". Fred Borne, a physics engineer and leader at Resonetics, discussed the company's expertise in medtech manufacturing, particularly in interventional cardiology, advanced diagnostics, minimally invasive surgeries, and bioelectronics. Resonetics specializes in microfabrication, including laser micromachining, and has expanded its capabilities through acquisitions, such as MemorySays for nitinol production. Borne highlighted the company's role in developing fiber optic sensors and implantable batteries, emphasizing their applications in neuromodulation and cardiac devices. He also touched on the potential of brain-computer interfaces and the future of neuromodulation technology. Outline MD&M West Event Introduction Industrial Talk, sponsored by MD&M West and the News and Brews team.Highlights the importance of MD&M West in delivering medtech automation, packaging, plastics, and design under one roof.Emphasizes the innovation, energy, and conversation at the event.Thanks the listeners for tuning in and celebrating the people driving industrial innovation. Welcome to Industrial Talk Podcast Scott reiterates the podcast's dedication to celebrating industry professionals worldwide.Encourages listeners to put MD&M West on their calendar for next year.Mentions the importance of meeting people like Fred Borne at the event. Introduction of Fred Borne Fred shares his background as a physics engineer specializing in fiber optics.Mentions his education at Laval University in Quebec City, one of the top photonics optics schools in North America.Discusses his career in fiber optics and the acquisition of memory says by Resonetics. Resonetics and Market Solutions Fred explains that Resonetics is a top 10 contract design manufacturing company for the medtech industry.Specializes in interventional cardiology, advanced diagnostics, minimally invasive surgeries, and bioelectronics.Highlights the company's expertise in microfabrication and the acquisition of memory says for the production of nitinol.Discusses the company's ability to provide micro components of nitinol, stainless steel, and other materials. Microfabrication and Medical Applications Scott and Fred discuss the concept of microfabrication and its applications in medical devices.Fred explains the use of laser micro machining for creating extremely small components.Mentions the company's ability to handle various materials and the importance of precision in their work.Discusses the challenges and innovations in the medical device manufacturing process. Fiber Optic Sensors and Medical Implantable Batteries Fred explains his role at Resonetics, managing the fiber optic sensors and medical implantable batteries divisions.Discusses the use of fiber optic sensors in blood pressure monitoring and other medical devices.Highlights the applications of fiber optic sensors in diagnostics and heart pumps.Explains the use of medical implantable batteries in cardiac applications and neuromodulation devices. Neuromodulation and Future Technologies Fred discusses the growing field of neuromodulation and its applications in medical devices.Explains the use of neuromodulation devices to treat conditions like urinary incontinence and asthma.Mentions the use of neuromodulation devices for sleep apnea...
America Out Loud PULSE with Dr. Myriah Hinchey – Lyme disease and other vector-borne infections can masquerade as psychiatric and neurodegenerative illness when they go undetected. This piece examines why these conditions are frequently missed, how symptoms resemble dementia and Alzheimer's disease, and why timely clinical recognition and informed testing can alter disease trajectory and improve outcomes...
Nate Lindberg and Kevin Cattani discuss DarkState vs. OTM, Dion Lennox vs. Myles Borne, Lexis King vs. Tavion Heights, Zaria vs. Thea Hail, Keanu Carver vs. Andre Chase, Jaida Parker vs. Nikkita Lyons, predictions for the NXT Championship ladder match, NXT entrant predictions for the Royal Rumble, and more.Become a supporter of this podcast: https://www.spreaker.com/podcast/pwtorch-dailycast--3276210/support.
The Dadley Boyz preview tonight's NXT and discuss...NXT Championship Ladder Match Qualifiers!NXT Tag Titles on the line!Could Myles Borne turn heel?Will NXT stars be in the Royal Rumble?Tony D'Angelo in prison AGAIN?!ENJOY!Follow us on Twitter:@AdamWilbourn@MSidgwick@MichaelHamflett@WhatCultureWWEFor more awesome content, check out: whatculture.com/wwe Hosted on Acast. See acast.com/privacy for more information.