Podcasts about STA

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Best podcasts about STA

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Latest podcast episodes about STA

Dvojka
Hobby magazín: Topit tři dny do průlezového komína jedněmi kamínky je nesmysl, říká kominice

Dvojka

Play Episode Listen Later Sep 29, 2022 3:18


Kdo jezdí na chalupu celoročně a má tzv. „průlezový“ komín – tedy komín hodně široký, kam se na čištění vejde kominík a do něj vede několik kouřovodů z místností, kde v zimě topí, si může myslet, že má vyhráno. Stačí nadělat hodně dřeva, aby vyschlo nebo koupit uhlí. To ale dnes u nových nízkoemisních moderních kamen s nízkou teplotou spalin neplatí. Proč?

Radio HM
El mundo que se avecina: La consagración del género humano al Sagrado Corazón de Jesús 3/7

Radio HM

Play Episode Listen Later Sep 29, 2022 26:44


En este programa de «El mundo que se avecina» en que se está tratando el tema del «conocimiento profético y futuro de la humanidad», D. Jorge Fernández habla de la devoción al Sagrado Corazón de Jesús. Esta devoción impregna toda la Sagrada Escritura, pero ha sido en los últimos tiempos cuando el Señor ha revelado sus sentimientos más íntimos a través de revelaciones a santos como Sta. Gertrudis y Sta. Margarita María de Alacoque. ¿Qué hubiera sucedido si se hubiese cumplido la petición del Sagrado Corazón a Sta. Margarita? Dios respeta nuestra libertad, pero lo que es indudable es que a pesar del mal uso que hacemos de ella, sus designios se cumplirán.

Karlovy Vary
Hobby magazín: Topit tři dny do průlezového komína jedněmi kamínky je nesmysl, říká kominice

Karlovy Vary

Play Episode Listen Later Sep 29, 2022 3:18


Kdo jezdí na chalupu celoročně a má tzv. „průlezový“ komín – tedy komín hodně široký, kam se na čištění vejde kominík a do něj vede několik kouřovodů z místností, kde v zimě topí, si může myslet, že má vyhráno. Stačí nadělat hodně dřeva, aby vyschlo nebo koupit uhlí. To ale dnes u nových nízkoemisních moderních kamen s nízkou teplotou spalin neplatí. Proč?

Ostrava
Hobby magazín: Topit tři dny do průlezového komína jedněmi kamínky je nesmysl, říká kominice

Ostrava

Play Episode Listen Later Sep 29, 2022 3:18


Kdo jezdí na chalupu celoročně a má tzv. „průlezový“ komín – tedy komín hodně široký, kam se na čištění vejde kominík a do něj vede několik kouřovodů z místností, kde v zimě topí, si může myslet, že má vyhráno. Stačí nadělat hodně dřeva, aby vyschlo nebo koupit uhlí. To ale dnes u nových nízkoemisních moderních kamen s nízkou teplotou spalin neplatí. Proč?

Sever
Hobby magazín: Topit tři dny do průlezového komína jedněmi kamínky je nesmysl, říká kominice

Sever

Play Episode Listen Later Sep 29, 2022 3:18


Kdo jezdí na chalupu celoročně a má tzv. „průlezový“ komín – tedy komín hodně široký, kam se na čištění vejde kominík a do něj vede několik kouřovodů z místností, kde v zimě topí, si může myslet, že má vyhráno. Stačí nadělat hodně dřeva, aby vyschlo nebo koupit uhlí. To ale dnes u nových nízkoemisních moderních kamen s nízkou teplotou spalin neplatí. Proč?

Olomouc
Hobby magazín: Topit tři dny do průlezového komína jedněmi kamínky je nesmysl, říká kominice

Olomouc

Play Episode Listen Later Sep 29, 2022 3:18


Kdo jezdí na chalupu celoročně a má tzv. „průlezový“ komín – tedy komín hodně široký, kam se na čištění vejde kominík a do něj vede několik kouřovodů z místností, kde v zimě topí, si může myslet, že má vyhráno. Stačí nadělat hodně dřeva, aby vyschlo nebo koupit uhlí. To ale dnes u nových nízkoemisních moderních kamen s nízkou teplotou spalin neplatí. Proč?

Plzeň
Hobby magazín: Topit tři dny do průlezového komína jedněmi kamínky je nesmysl, říká kominice

Plzeň

Play Episode Listen Later Sep 29, 2022 3:18


Kdo jezdí na chalupu celoročně a má tzv. „průlezový“ komín – tedy komín hodně široký, kam se na čištění vejde kominík a do něj vede několik kouřovodů z místností, kde v zimě topí, si může myslet, že má vyhráno. Stačí nadělat hodně dřeva, aby vyschlo nebo koupit uhlí. To ale dnes u nových nízkoemisních moderních kamen s nízkou teplotou spalin neplatí. Proč?

Vysočina
Hobby magazín: Topit tři dny do průlezového komína jedněmi kamínky je nesmysl, říká kominice

Vysočina

Play Episode Listen Later Sep 29, 2022 3:18


Kdo jezdí na chalupu celoročně a má tzv. „průlezový“ komín – tedy komín hodně široký, kam se na čištění vejde kominík a do něj vede několik kouřovodů z místností, kde v zimě topí, si může myslet, že má vyhráno. Stačí nadělat hodně dřeva, aby vyschlo nebo koupit uhlí. To ale dnes u nových nízkoemisních moderních kamen s nízkou teplotou spalin neplatí. Proč?

I Titolari
Ep. 113 - 6 domande a Pioli, Allegri e Inzaghi

I Titolari

Play Episode Listen Later Sep 29, 2022 46:13


Sta tornando la Serie A e come si riparte dopo la sosta? Abbiamo fatto 6 domande ai tre allenatori di Milan, Juventus e Inter. Buon ascolto!

Region - Praha a Střední Čechy
Hobby magazín: Topit tři dny do průlezového komína jedněmi kamínky je nesmysl, říká kominice

Region - Praha a Střední Čechy

Play Episode Listen Later Sep 29, 2022 3:18


Kdo jezdí na chalupu celoročně a má tzv. „průlezový“ komín – tedy komín hodně široký, kam se na čištění vejde kominík a do něj vede několik kouřovodů z místností, kde v zimě topí, si může myslet, že má vyhráno. Stačí nadělat hodně dřeva, aby vyschlo nebo koupit uhlí. To ale dnes u nových nízkoemisních moderních kamen s nízkou teplotou spalin neplatí. Proč?

Pardubice
Hobby magazín: Topit tři dny do průlezového komína jedněmi kamínky je nesmysl, říká kominice

Pardubice

Play Episode Listen Later Sep 29, 2022 3:18


Kdo jezdí na chalupu celoročně a má tzv. „průlezový“ komín – tedy komín hodně široký, kam se na čištění vejde kominík a do něj vede několik kouřovodů z místností, kde v zimě topí, si může myslet, že má vyhráno. Stačí nadělat hodně dřeva, aby vyschlo nebo koupit uhlí. To ale dnes u nových nízkoemisních moderních kamen s nízkou teplotou spalin neplatí. Proč?

Brno
Hobby magazín: Topit tři dny do průlezového komína jedněmi kamínky je nesmysl, říká kominice

Brno

Play Episode Listen Later Sep 29, 2022 3:18


Kdo jezdí na chalupu celoročně a má tzv. „průlezový“ komín – tedy komín hodně široký, kam se na čištění vejde kominík a do něj vede několik kouřovodů z místností, kde v zimě topí, si může myslet, že má vyhráno. Stačí nadělat hodně dřeva, aby vyschlo nebo koupit uhlí. To ale dnes u nových nízkoemisních moderních kamen s nízkou teplotou spalin neplatí. Proč?

Słuchaj, synu, nauk mistrza...
Apoftegmaty Ojców Pustyni. Abba Agaton #2

Słuchaj, synu, nauk mistrza...

Play Episode Listen Later Sep 29, 2022 0:52


Termin „apoftegmaty” odnosi się do zbiorów anegdot, sentencji, jak mówili Grecy – logoi, „słów” Ojców Pustyni. Nie jest łatwo zdefiniować czym są apoftegmaty, gdyż wielka jest ich różnorodność, choć nie mamy wątpliwości, że stanowią jeden rodzaj literacki. Odpowiedź Ojca (apoftegmat w zasadzie jest ze swej natury odpowiedzią na konkretne pytanie) może ograniczać się do kilku sylab, może na nią się składać sentencja, lub opowiadanie o jakimś wydarzeniu rozrastające się do opowieści, jak mówiono niegdyś, „budujących”. Były one przeznaczone przede wszystkim dla osób niemających doświadczenia w życiu ascetycznym lub dopiero debiutujących na pustyni; miały im przekazać zbiorową mądrość środowisk monastycznych, służyć radą, umocnić w momentach zwątpienia. Stały się tekstami normatywnymi obok Biblii, gdyż mnisi egipscy bardzo rzadko posługiwali się regułami. W apoftegmatach umieszczano sugestie na temat godnego mnicha zachowania w kwestii pożywienia, snu, monastycznej etykiety. Apoftegmaty pozwalały zachować w pamięci postacie sławne, ważne, godne podziwu, które powinny służyć za modele... / Prof. Ewa Wipszycka, fragment publikacji "Drugi dar Nilu, czyli o mnichach i klasztorach w późnoantycznym Egipcie" Apoftegmaty Ojców Pustyni czyta: Franciszek Wytych OSB / Fot. Borys Kotowski OSB

Hradec Králové
Hobby magazín: Topit tři dny do průlezového komína jedněmi kamínky je nesmysl, říká kominice

Hradec Králové

Play Episode Listen Later Sep 29, 2022 3:18


Kdo jezdí na chalupu celoročně a má tzv. „průlezový“ komín – tedy komín hodně široký, kam se na čištění vejde kominík a do něj vede několik kouřovodů z místností, kde v zimě topí, si může myslet, že má vyhráno. Stačí nadělat hodně dřeva, aby vyschlo nebo koupit uhlí. To ale dnes u nových nízkoemisních moderních kamen s nízkou teplotou spalin neplatí. Proč?

Dagelijkse overdenking
Sta op en ga vooruit met God!

Dagelijkse overdenking

Play Episode Listen Later Sep 28, 2022 2:56


Jezus zei: “Sta op pak uw ligmat op en loop”. Johannes 5:8 (NBV) In Johannes 5 staat een verhaal over een man die, naar mijn mening, representatief is voor veel mensen die weigeren te veranderen. Tijdens een Joods feest in Jeruzalem bezocht Jezus het Bethesda badwater waar zieke mensen bijeen verzameld waren, hopende dat ze genezen zouden worden. Een van de mensen die op genezing wachtte, was een man die al 38 jaar kreupel was. Toen Jezus hem zag, vroeg Hij of Hij gezond wilde worden. Voor mij geeft het antwoord van de man ons aan waarom hij gedurende die 38 jaar niet genezen was. Hij zei: “Heer, als het water gaat bewegen is er niemand om mij erin te helpen.” Waar het eigenlijk op neerkomt is dat de man zijn verantwoordelijkheid niet nam. Zijn tweede probleem was dat hij anderen de schuld gaf. De man zei, “ Terwijl ik probeer in het badwater te komen, is een ander al vóór mij in het water.” Hoe reageerde Jezus hierop? Hij had geen medelijden met hem. In plaats daarvan zei Jezus, “ Sta op! Neem uw ligmat op en ga lopen.” Om veranderingen te laten gebeuren in je leven, mag je geen gevangene zijn van je omstandigheden. Weet dat God bereid is om je vandaag te helpen. Het enige wat jij moet doen is besluiten om Hem te vertrouwen, op te staan, en actief te streven naar de vrijheid die Hij je geeft. Kort gebed: Here God, ik wil geen slachtoffer van mijn omstandigheden zijn. Ik wil veranderen. Ik ontvang Uw kracht en Uw vrijheid vandaag. Ik geloof dat een echte verandering kan plaatsvinden in mijn leven als ik met U wandel.

Kultūrdeva
Podkāsts «Kultūrdeva». 29. epizode. Ar Kārli Arnoldu Avotu

Kultūrdeva

Play Episode Listen Later Sep 28, 2022


Skaistā septembra dienā LTV raidījuma "Kultūrdeva" vadītāja Henrieta Verhoustinska jau 29. raidierakstā "Kultūrdeva" satiek īpašu viesi. Tas ir pavisam jauns aktieris, kurš jau paspējis nospēlēt mazas un arī ļoti lielas lomas Dailes teātrī, kā arī galvenās lomas divās jaunās latviešu filmās – režisora Staņislava Tokalova filmā "Mīlulis", kura nupat piedzīvojusi pirmizrādi, un režisora Viestura Kairiša filmā "Janvāris", kas pie latviešu publikas nonāks novembrī. Kārlis Arnolds Avots sarunā dalās gan ar savu pieredzi, gan pārdzīvojumiem un piedzīvojumiem, sportista pagātni un pārdomām, kas sportam kopīgs ar teātri (izrādās – ļoti daudz!). Gatavojoties filmai "Mīlulis", kurā atveido puisi, kam riebjas žigolo loma pie par viņu vecākas, kaut ļoti šarmantas un izskatīgas sievietes sāniem, ko spēlē Kristīne Krūze, Kārlis Arnolds veica lauka pētījumus – gāja uz randiņiem ar vecākām sievietēm, iepazinās ar Māri Sprūdu un Aldi Gobzemu, lai iejustos sava personāža profesionālajā – maksātnespējas administratora lomā. Gatavojoties filmai "Janvāris" par jaunu sinefilu, kurš sapņo uzņemt ģeniālu kino un kura ambīcijām un mīlestības alkām piepildītā dzīve notiek uz 1991. gada janvāra vēsturisko notikumu fona, pašam negribot tajos iesaistoties, jaunais aktieris skatījās gan Jura Podnieka, gan Andžeja Vajdas filmas. Par saviem skolotājiem Kārlis Arnolds sauc Indru Rogu un Mihailu Gruzdovu, par saviem režisoriem – Dmitriju Petrenko un Viesturu Kairišu. Kopā ar Viesturu Kairišu šobrīd notiek darbs pie filmas par leģendāro basketbolisti Uļjanu Semjonovu, kurai Kārlis Arnolds ir uzrakstījis scenāriju un kurā atveidos galveno – Uļas – lomu, kas saprotamu iemeslu dēļ ir pamatīgs izaicinājums. Filma skars laiku, pirms Uļjana Semjonova iesaistās profesionālajā basketbolā. Saruna skar arī jaunā aktiera pilsonisko nostāju. Viņš atklāj, ka iestājies zemessardzē un gatavs aizstāvēt Latviju. Vienlaikus viņu bažīgu dara pēdējā laikā novērotie arvien biežākie mēģinājumi visus krievus (gan Krievijā, gan Latvijā) uzskatīt par ienaidniekiem vai nicināmu tautu. Par podkāstu Podkāstu "Kultūrdeva" ir iespējams dzirdēt lielākajās straumēšanas vietnēs – "Spotify" un "Apple Podcasts", kā arī portālā LSM.lv. To veido Latvijas Televīzijas Kultūras redakcija. Podkāsts iznāk divreiz mēnesī, un tajā ik pārnedēļu kopā ar kādu kultūras nozares entuziastu, kultūras cilvēkiem, "Kultūrdevas" skatītāju, Henrieta Verhoustinska sarunājas par aktuālajiem kultūras tematiem.

Słuchaj, synu, nauk mistrza...
Apoftegmaty Ojców Pustyni. Abba Agaton #1

Słuchaj, synu, nauk mistrza...

Play Episode Listen Later Sep 27, 2022 1:15


Termin „apoftegmaty” odnosi się do zbiorów anegdot, sentencji, jak mówili Grecy – logoi, „słów” Ojców Pustyni. Nie jest łatwo zdefiniować czym są apoftegmaty, gdyż wielka jest ich różnorodność, choć nie mamy wątpliwości, że stanowią jeden rodzaj literacki. Odpowiedź Ojca (apoftegmat w zasadzie jest ze swej natury odpowiedzią na konkretne pytanie) może ograniczać się do kilku sylab, może na nią się składać sentencja, lub opowiadanie o jakimś wydarzeniu rozrastające się do opowieści, jak mówiono niegdyś, „budujących”. Były one przeznaczone przede wszystkim dla osób niemających doświadczenia w życiu ascetycznym lub dopiero debiutujących na pustyni; miały im przekazać zbiorową mądrość środowisk monastycznych, służyć radą, umocnić w momentach zwątpienia. Stały się tekstami normatywnymi obok Biblii, gdyż mnisi egipscy bardzo rzadko posługiwali się regułami. W apoftegmatach umieszczano sugestie na temat godnego mnicha zachowania w kwestii pożywienia, snu, monastycznej etykiety. Apoftegmaty pozwalały zachować w pamięci postacie sławne, ważne, godne podziwu, które powinny służyć za modele... / Prof. Ewa Wipszycka, fragment publikacji "Drugi dar Nilu, czyli o mnichach i klasztorach w późnoantycznym Egipcie" Apoftegmaty Ojców Pustyni czyta: Franciszek Wytych OSB / Fot. Borys Kotowski OSB

Po prostu Wschód
Rosja vs Ukraina: pseudoreferenda, mobilizacja i broń jądrowa

Po prostu Wschód

Play Episode Listen Later Sep 27, 2022 28:28


Z Robertem Pszczelem, byłym dyrektorem Biura Informacji NATO w Moskwie, a obecnie ekspertem w Fundacji im. Kazimierza Pułaskiego rozmawiamy o tym, czy Rosja użyje broni jądrowej i czym to jej grozi, po co organizowane są pseudoreferenda i czy UE wyczerpała swoje możliwości sankcyjne. Stałe wsparcie dla podcastu: https://patronite.pl/PoProstuWschod https://zrzutka.pl/6m35sn. Jeśli spodobał się Państwu konkretnie ten odcinek, możecie przekazać napiwek buycoffee.to/ppw Playlista Radio Wschód, czyli najlepsza muzyka ze Wschodu https://cutt.ly/BRLGvhP W tym odcinku wykorzystałem fragment utworu: Alyona Alyona - Mariupol Zachęcam do zajrzenia na fan-page Po prostu Wschód na Facebooku https://www.facebook.com/poprostuwschod

I Love Muzzleloading
Mike McCoy - Rimfire got boring so I started shooting muzzleloaders | Clubs, Competition and more

I Love Muzzleloading

Play Episode Listen Later Sep 26, 2022 83:25


Today we're talking with Mike McCoy, a muzzleloading enthusiast and competitive muzzleloader from North Carolina. Mike got his start shooting muzzleloaders at a 4H Shooting Sports event. After getting bored with shooting .22 rimfire, Mike wandered over to a shotgun area but didn't stay long. Across the way he noticed billowing black smoke rolling through the grounds. Mike would spend the rest of his time at the event throwing lead down range with a muzzleloader. I'd like to thank our sponsors for their support: ThorBullets - Visit ThorBullets.com to learn more. Muzzleloader Magazine - Visit MuzzleloaderMagazine.com to learn more Get your own "I Love Muzzleloading" Hat here Click here to SUBSCRIBE That Christmas he received his first muzzleloading rifle and the rest is history. Like many muzzleloading enthusiasts, Mike would get away from the sport while he started his life but as an adult Mike found himself getting pulled back into his childhood sport. After catching up with some other shooters from North Carolina on themuzzleloadingforum, Mike got hooked up with a local muzzleloading club, the Lafayette Longrifles. Now you can find Mike practicing and shooting competitively on the weekends as he pursues accuracy with his muzzleloaders. Mike's interest in competitive muzzleloading has opened up a whole new world of both muzzle loaders and friendships. Thanks to his mentor Buck Buchannan, Mike has recently fallen in love with competitive muzzleloading pistols, though he admits he needs more practice (as we all do). For Mike, competition muzzleloading is a personal challenge and an opportunity to learn from better shooters. Connect with Mike and the clubs/associations Mike and I were chatting about North Carolina Clubs and Associations North Carolina State Muzzleloading Rifle Association: Holds our state shoot in September https://m.facebook.com/North-Carolina-State-Muzzleloading-Rifle-Association-104371348917885/ nc.st.muzzleloaders@gmail.com Lafayette Longrifles: Shoots every 4th Saturday of the month @lafayette_longrifles (the Sta) https://m.facebook.com/LafayetteLongrifles/ lafayette.longrifles@gmail.com Crosse Creek Rifle and Pistol Club: Shoots every 2nd Saturday of the month https://crossecreekrifleandpistolclub.com/ Contact Buck Buchanan buck100_10x@icloud.com French Broad Rifles Shoots every 2nd and 4th Saturday of the month. http://frenchbroadrifles.com/ FrenchBroadRiflesInc@gmail.com Y'all can reach me at: @rickeymac76 (the Sta) RM Mac (FB) blackpowdermccoy@gmail.com 919-285-1731 (call, text, or leave a message) Mike is an NMLRA Field rep for NC and the new secretary of the state association. I'm the guy in a banana shirt shooting a flintlock.

The Call from ausbiz
"I'd wait for the bounce the trend is to the downside" - Joshua Barker

The Call from ausbiz

Play Episode Listen Later Sep 26, 2022 53:01


Mathan Somasundaram from Deep Data Analytics and Joshua Barker from Maqro Capital go in-depth and stock specific. Stocks covered: SCG, ANZ, EVN, KGN, STA, TPW, EV1, VVA, PDN and TCL. Our sector of the day is oil. Hosted on Acast. See acast.com/privacy for more information.

Ocene
Mestno gledališče ljubljansko - Fjodor Mihajlovič Dostojevski: Idiot

Ocene

Play Episode Listen Later Sep 25, 2022 1:32


V Mestnem gledališču ljubljanskem so premierno uprizorili Idiota – dramsko priredbo romana ruskega pisatelja Dostojevskega, ki je v nadaljevanjih izhajal v šestdesetih letih devetnajstega stoletja. Priredbo je po prevodu Janka Modra napisala Eva Mahkovic, režiser uprizoritve je Juš Zidar, ki igro vidi nekje med nebesi in peklom; pravi, da uprizoritev zavzema prostor vic, kjer se na neki način tehtajo duše. Vtise po predpremieri je strnila Staša Grahek. ?????, 1869 Dramatizacija romana Krstna uprizoritev Premiera: 24. September 2022 Režiser Juš A. Zidar Avtorica priredbe in dramaturginja Eva Mahkovic Scenograf Branko Hojnik Kostumografka Belinda Radulović Avtor glasbe Marjan Nečak Lektorica Maja Cerar Oblikovalec svetlobe Andrej Koležnik Oblikovalec zvoka Matija Zajc Asistentka režiserja in dramaturginje Urša Majcen Asistentka scenografa Nina Rojc Nastopajo Ajda Smrekar, Filip Samobor, Primož Pirnat, Jožef Ropoša, Viktorija Bencik Emeršič, Lena Hribar Škrlec, Klara Kuk k. g., Gašper Jarni, Tanja Dimitrievska, Gal Oblak, Jaka Lah, Matic Lukšič, Boris Kerč Foto Peter Giodani Na fotografiji, od leve: Klara Kuk, Filip Samobor, Primož Pirnat, Ajda Smrekar https://www.mgl.si/sl/predstave/idiot/

Sports Therapy Association Podcast
STA118: 'Massage & Manual Therapy: A Modern View' with guests Anna Maria Mazzieri & Paul Coker

Sports Therapy Association Podcast

Play Episode Listen Later Sep 24, 2022 64:18


In Ep.118 of the Sports Therapy Association Podcast, we continue our countdown to Therapy Expo 2022 November 23rd & 24th at the NEC Birmingham, bringing you speakers who will be presenting in the STA THEATRE across the two days. In this episode, we are joined by two fantastic educators from our industry: Anna Maria Mazzieri - Director of The School & one third of the Massage Collective; and Paul Coker - Owner of Move Physiotherapy & former Medical Director for Rocktape UK. Anna Maria and Paul talk about their up & coming presentation at Therapy Expo 'Massage & Manual Therapy: A Modern View', taking place at 9am on Thursday 24th November in the STA Theatre. With the huge amount of experience these two excellent practicioners have, this is definitely an episode to watch/listen to! Topics discussed include: Therapy Expo - the early days in Manchester  This year's 'Hands on Hub' area at Therapy Expo How times have changed - no longer being defined by your job title An end to the 'hands on vs. hands off' debate  Evidence Informed vs Evidence Based What is Soft Tissue Therapy? Physiotherapy: different career path to Sports Therapy   54:10 A look at the STA Theatre programme Paul and Anna Maria's key messages for soft tissue therapists.   Useful Links   Website: The ST School Website: MoveCornwall   Anna Maria on Twitter:  Paul Coker on Twitter Therapy Expo Website Our sincere thanks to Anna Maria Mazzieri & Paul Coker for giving up their time to be guests on the show! Remember, they will be presenting in the STA Theatre at Therapy Expo at 9.15am on Thursday 24th November! Want to join the live recordings? Episodes of the Sports Therapy Association podcast are recorded live every TUESDAY at 8pm on the Sports Therapy Association YOUTUBE CHANNEL. Everyone is welcome - you do not have to be an STA member! If you cannot join us live, be sure to subscribe to the 'Sports Therapy Association Podcast' on all popular podcast apps to be notified when new episodes are available. Please Support Our Podcast! If you appreciate what we do, please take a couple of minutes to leave us a rating & review on Apple Podcasts. It really does make all the difference in helping us reach out to a larger audience. iPhone users you can do this from your phone, Android users you will need to do it from iTunes. Questions? Email: matt@thesta.co.uk

Wakker worden met Janneke van der Meulen
De meest gemaakte fouten bij de overstap naar een gezond plantaardig vegan dieet en hoe jij ze voorkomt

Wakker worden met Janneke van der Meulen

Play Episode Listen Later Sep 23, 2022 31:57


Als mensen overstappen naar een vegan dieet maken ze ongeveer allemaal dezelfde ‘fouten'.   Niet dat ik tegen het maken van ‘fouten' ben.   Als ik terugkijk naar mijn ‘leven' dan heb ik een hoop geleerd van mijn ‘fouten'.   Fouten geven vaak veel informatie en ook nog eens hele waardevolle informatie. Want ergens beter in worden is gebaseerd op ontelbaar veel kleine mislukkingen en de mate van succes wordt bepaald door hoe vaak je ergens in hebt gefaald. Mislukkingen proberen vermijden is iets wat we op school leren. We worden beloond voor hoge cijfers en we worden afgestraft als we buiten de lijntjes kleuren. Tel daar de media bij op die ons voortdurend blootstellen aan het ene na het andere succesverhaal, terwijl ze niet laten zien wat er aan dat succes vooraf is gegaan. Namelijk duizenden uren van keihard werken, trainen, oefenen, herhalen en heel veel fouten maken. De ideale kweekvijver voor faalangst. Dus kleuren we netjes binnen de lijntjes en deinzen we instinctief weg voor ‘mislukken'. (Wie dat dan ook maar bepaald en wat mislukken dan ook maar mag zijn, maar dat terzijde).   Niet willen ‘mislukken' beperkt je niet alleen, het werkt ook nog eens verstikkend.   Want écht gezond zijn lukt alleen als je bereid bent om te leren. En leren betekent ook fouten maken. Af en toe lekker op je bek gaan.   Want om te voelen en ervaren hoe het wel moet, moet je ook ervaren en voelen hoe het niet moet. Heel veel luisterplezier met deze nieuwe podcast show! Vind je deze podcast inspirerend? Ontzettend leuk als je het deelt met je vrienden, familie en op je socials!   Wil jij ook een win-win-win-win? Sta jij achter dit werk en wil dat het voortzet? Via de knop doneren op de website www.jannekevandermeulen.nl/doneren kun je bijdragen.   Heel veel dank voor iedereen die al doneert!   Via: Spotify Apple podcast YouTube PodBean   Of zoek op: WAKKER WORDEN met JANNEKE VAN DER MEULEN .   Lees het boek De Eiwitleugen en leer alles over het aller gezondste dieet voor de mens. Te bestellen via: https://www.jannekevandermeulen.nl/product/de-eiwit-leugen/   Vrolijke groet en veel liefs, Janneke     DE WIN-WIN METHODE | VOOR WINNAARS | ZONDER VERLIEZERS            

Host Reportéra
HoRe Tomáše Poláčka: Evžen Boček

Host Reportéra

Play Episode Listen Later Sep 23, 2022 71:13


Přesně před deseti lety vydal kastelán jihomoravského zámku Milotice první humornou knihu o mladé aristokratce, její ztřeštěné rodině a svérázném služebnictvu. Evžen Boček měl nečekaný úspěch, postupně vydával další díly, dohromady prodal půl milionu knížek. Za pár dnů vyjde díl šestý a poslední: jmenuje se Aristokratka pod palbou lásky. „Stačilo,“ říká pětapadesátiletý Boček v rozhovoru, jehož plnou verzi přináší podcast Host Reportéra. Poslední pasáž rozhovoru je uzamčena pro nejvěrnější fanoušky podcastu, kteří nás podporují na stránce Patreon. Tvorbu tohoto podcastu můžete prostřednictvím odkazu podpořit i vy: https://www.patreon.com/hostreportera. Všem věrným posluchačům moc děkujeme!

Marco Montemagno - Il Podcast
La moto volante sta per arrivare sul mercato americano...te la compri?

Marco Montemagno - Il Podcast

Play Episode Listen Later Sep 22, 2022 0:49


La moto volante sta per arrivare sul mercato americano...te la compri?

RSO Infomagazin
RSO Infomagazin 22.9.2022

RSO Infomagazin

Play Episode Listen Later Sep 22, 2022 31:16


Heute mit diesen Themen: Kein Quadereis wegen Energiekrise: Das mobile Eisfeld auf der Churer Quaderwiese fällt der Energiekrise zum Opfer. Der Brienzer Rutsch: Die Bündner Regierung will 40 Millionen Franken in einen Entwässerungsstollen investieren. Dieser soll der Abwehr von noch grösseren Schäden dienen. Die Fusion zur Bergbahnen Flumserberg AG: Am Samstag findet sie statt, die geschichtsträchtige Generalversammlung. Dann beginnt für die Bergbahnen am Flumserberg ein «neues Kapitel». Gut angekommen im Münstertal: Seit Anfang August leben in Sta.Maria vier ukrainische Familien in der ehemaligen Jugendherberge. Ein Augenschein vor Ort. Eine Erfolgsgeschichte: Die erste romanischsprachige Kinderkrippe ausserhalb von Graubünden. In Zürich wurde 2016 die erste romanischsprachige Kita eröffnet.

Good Morning, Bangalore with Kay
India's Record-Holding Free Diver! ft. Mario Fernandes

Good Morning, Bangalore with Kay

Play Episode Listen Later Sep 21, 2022 13:51


MarioFernandes, Free diver - the first Indian to hold 4 National records across depth and pool disciplines. 35-year-old Indian free diver Mario Fernandes from Goa recently put India on the freediving map by bagging 4 national records at AIDA (International Association for the Development of Apnoea) in Israel. Mario has made our nation proud by breaking 2 previous records in 2 different disciplines: DYNAMIC With Bi-Fins (DYNB) - Previous record was 64m, Mario's national record now is 86 m, and Static Apnoea (STA) the previous record was 4min 11 sec, Mario's record for STA is 04 minutes and 29 seconds. He is now all set to break his record on STA with his current breath hold of 7min. He is the first Indian to compete in the depth setting a new record for India in his first attempt for CONSTANT Weight with Bi-Fins (CWTB) with a national record of 45m (150ft) depth with a dive time of 1 min 40 sec and Free Immersion (FIM) with a national record of 40m (131ft) depth with a dive time of 1 min 35 sec. Given this was his first attempt, Mario chose to focus on setting records to put India on the global map first. He is now all set to challenge global rankings in his next attempt, at the end of this year. --- Send in a voice message: https://anchor.fm/gmbwithkay/message

TALKSLOW
Rýchlokurz geniality v oblasti etikety, alebo ako sa vyhnúť etiketovému infarktu

TALKSLOW

Play Episode Listen Later Sep 21, 2022 45:05


Zuzana Čapková, profesionálna protokolistka a odborníčka na gastronómiu a etiketu, má na svojom konte organizáciu mnohých významných spoločenských udalostí. Podujatie pre španielsku kráľovskú rodinu, anglickú kráľovskú rodinu, event pre Formulu 1, MOTO GRAND PRIX, či kongres mobilných technológií MWC pre viac ako 60 tisíc klientov. V katalánskej Barcelone vlastní a riadi agentúru na organizovanie spoločenských akcií. Pracuje ako manažérka *MICE eventov a konzultantka v oblasti gastronómie, cateringu, protokolu a inštitucionálnych vzťahov. Je vysokoškolskou lektorkou pre EXECUTIVE MASTER DEGREE programy. Pripravuje v týchto odvetviach projekty a prednášky aj na Slovensku. Pre podcast TALKSLOW som so Zuzanou Čapkovou nahrala dve časti rozhovoru. V prvej časti sme sa rozprávali o protokolárnych záležitostiach v spoločnosti. Zaspomínali sme na inauguráciu prezidentky SR a uviedli niekoľko momentov, ktoré majú priestor na zlepšenie. Značnú časť sme venovali aj kráľovskému dvoru a vôbec sme netušili, že v čase uverejnenia sa svet bude navždy lúčiť s kráľovnou Alžbetou II. Prvú časť nájdete pod názvom: „Pod lupou protokolu: zaujímavosti a postrehy z najväčších svetových spoločenských udalostí.“ V druhej časti sme sa zamerali na základné pravidlá etikety tak, aby ste sa zorientovali a zvládli situácie či už v bežnom živote, v biznisovom prostredí, ale aj na spoločenských udalostiach. V rozhovore sa dozviete: rozdiel medzi protokolom a etiketou či porušuje prezidentka protokol alebo etiketu čo vyjadrovala pokrývka hlavy pani prezidentky pri návšteve Vatikánu na čo nám slúži etiketa čo znamená pri stolovaní pomôcka „BMW“ kedy správne použiť lakovky podľa koho/čoho sa určuje dress code ženy ako vám pomôcka s „R“ vyrieši problém so silónkami kde ukladáme ženskú kabelku čo s telefónom pri obede aká je správna dĺžka kravaty a rukávov na pánskej košeli a mnoho iných zaujímavostí, ktoré vám umožnia byť dámou a gentlemanom v každej situácii. ŽIVÉ VYSIELANIE SO ZUZANOU ČAPKOVOU Verím, že mnohých poteší možnosť zúčastniť sa živého vysielania so Zuzanou Čapkovou, ktoré organizujem 27. septembra 2022 o 20:00 hodine prostredníctvom ZOOM aplikácie. Budete mať možnosť položiť Zuzane otázky, ktoré zaujímajú práve Vás. A keďže september je mesiac, kedy štartujú mnohé spoločenské akcie, či firemné večierky, je tu aj príležitosť pre tých, ktorí chcú tú svoju akciu zaradiť do kategórie nezabudnuteľných a odlíšiť sa kvalitou a profesionalitou. Vstupenku si zakúpite na tomto odkaze: https://shop.liveslow.sk/caspreseba/livetalk-s-profesionalnou-protokolistkou-zuzanou-capkovou/ Alebo mi napíšte na mailovú adresu maria@talkslow.sk a ja vám zašlem všetky informácie o živom vysielaní. Stačí, keď do predmetu mailu napíšete PROTOKOL. Pre viac podrobností, či fotografie, ktoré v rozhovore spomíname, navštívte www.liveslow.sk *MICE - meetings, incentives, congresses and events, alebo meetings, incentives, conventions and exhibitions

Urban Caast
25: Jak na předvolební guláš aneb Speciál o slibech

Urban Caast

Play Episode Listen Later Sep 21, 2022 60:51


Nikdo vám nemůže dát tolik, co dokáží slíbit politici - a kampaň před nadcházejícími komunálními volbami toho byla opět nejlepším (?!) důkazem. Dopravě přece rozumí každý. I proto je tu nový Urban Caast. Jako obvykle s Jakubem ( @jakub) a Romanem (@happy_roman). Nakonec je to takový festival humoru a (místy hořké) zábavy. Snad vás bude bavit poslech aspoň tak, jak nás bavilo natáčení

Augmented - the industry 4.0 podcast
Episode 97: Industrial AI

Augmented - the industry 4.0 podcast

Play Episode Listen Later Sep 21, 2022 47:41


Augmented reveals the stories behind the new era of industrial operations, where technology will restore the agility of frontline workers. The topic is Industrial AI. Our guest is Professor Jay Lee, the Ohio Eminent Scholar, the L.W. Scott Alter Chair Professor in Advanced Manufacturing, and the Founding Director of the Industrial AI Center at the University of Cincinnati (https://www.iaicenter.com/). In this conversation, we talk about how AI does many things but to be applicable; the industry needs it to work every time, which puts additional constraints on what can be done by when. If you liked this show, subscribe at augmentedpodcast.co (https://www.augmentedpodcast.co/). If you liked this episode, you might also like Episode 81: From Predictive to Diagnostic Manufacturing Augmentation (https://www.augmentedpodcast.co/81). Augmented is a podcast for industry leaders, process engineers, and shop floor operators, hosted by futurist Trond Arne Undheim (https://trondundheim.com/) and presented by Tulip (https://tulip.co/). Follow the podcast on Twitter (https://twitter.com/AugmentedPod) or LinkedIn (https://www.linkedin.com/company/75424477/). Trond's Takeaway: Industrial AI is a breakthrough that will take a while to mature. It implies discipline, not just algorithms. In fact, it entails a systems architecture consisting of data, algorithm, platform, and operation. Transcript: TROND: Welcome to another episode of the Augmented Podcast. Augmented brings industrial conversations that matter, serving up the most relevant conversations on industrial tech. Our vision is a world where technology will restore the agility of frontline workers. In this episode of the podcast, the topic is Industrial AI. Our guest is Professor Jay Lee, the Ohio Eminent Scholar, and the L.W. Scott Alter Chair Professor in Advanced Manufacturing, and the Founding Director of the Industrial AI Center at the University of Cincinnati. In this conversation, we talk about how AI does many things but to be applicable, industry needs it to work every time, which puts on additional constraints on what can be done by when. Augmented is a podcast for industrial leaders, process engineers, and shop floor operators hosted by futurist Trond Arne Undheim and presented by Tulip. Jay, it's a pleasure to have you here. How are you today? JAY: Good. Thank you for inviting me to have a good discussion about industrial AI. TROND: Yeah, I think it will be a good discussion. Look, Jay, you are such an accomplished person, both in terms of your academics and your industrial credentials. I wanted to quickly just go through where you got to where you are because I think, especially in your case, it's really relevant to the kinds of findings and the kinds of exploration that you're now doing. You started out as an engineer. You have a dual degree. You have a master's in industrial management also. And then you had a career in industry, worked at real factories, GM factories, Otis elevators, and even on Sikorsky helicopters. You had that background, and then you went on to do a bunch of different NSF grants. You got yourself; I don't know, probably before that time, a Ph.D. in mechanical engineering from Columbia. The rest of your career, and you correct me, but you've been doing this mix of really serious industrial work combined with academics. And you've gone a little bit back and forth. Tell me a little bit about what went into your mind as you were entering the manufacturing topics and you started working in factories. Why have you oscillated so much between industry and practice? And tell me really this journey; give me a little bit of specifics on what brought you on this journey and where you are today. JAY: Well, thank you for talking about this career because I cut my teeth from the factory early years. And so, I learned a lot of fundamental things in early years of automation. In the early 1980s, in the U.S, it was a tough time trying to compete with the Japanese automotive industry. So, of course, the Big Three in Detroit certainly took a big giant step, tried to implement a very good manufacturing automation system. So I was working for Robotics Vision System at that time in New York, in Hauppage, New York, Long Island. And shortly, later on, it was invested by General Motors. And in the meantime, I was studying part-time in Columbia for my mechanical engineering, Doctor of Engineering. And, of course, later on, I transferred to George Washington because I had to make a career move. So I finished my Ph.D. Doctor of Science in George Washington later. But the reason we stopped working on that is because of the shortage of knowledge in making automation work in the factory. So I was working full-time trying to implement the robots automation in a factory. In the meantime, I also found a lack of knowledge on how to make a robot work and not just how to make a robot move. Making it move means you can program; you can do very fancy motion. But that's not what factories want. What factories really want is a non-stop working system so they can help people to accomplish the job. So the safety, and the certainty, the accuracy, precision, maintenance, all those things combined together become a headache actually. You have to calibrate the robot all the time. You have to reprogram them. So eventually, I was teaching part-time in Stony Brook also later on how to do the robotic stuff. And I think that was the early part of my career. And most of the time I spent in factory and still in between the part-time study and part-time working. But later on, I got a chance to move to Washington, D.C. I was working for U.S. Postal Service headquarters as Program Director for automation. In 1988, post service started a big initiative trying to automate a 500 mil facility in the U.S. There are about 115 number one facilities which is like New York handled 8 million mail pieces per day at that time; you're talking about '88. But most are manual process, so packages. So we started developing the AI pattern recognition, hand-written zip code recognition, robotic postal handling, and things like that. So that was the opportunity that attracted me actually to move away from automotive to service industry. So it was interesting because you are working with top scientists from different universities, different companies to make that work. So that was the early stage of the work. Later on, of course, I had a chance to work with the National Science Foundation doing content administration in 1991. That gave me the opportunity to work with professors in universities, of course. So then, by working with them, I was working on a lot of centers like engineering research centers and also the Industry-University Cooperative Research Centers Program, and later on, the materials processing manufacturing programs. So 1990 was a big time for manufacturing in the United States. A lot of government money funded the manufacturer research, of course. And so we see great opportunity, like, for example, over the years, all the rapid prototyping started in 1990s. It took about 15-20 years before additive manufacturing came about. So NSF always looks 20 years ahead, which is a great culture, great intellectual driver. And also, they're open to the public in terms of the knowledge sharing and the talent and the education. So I think NSF has a good position to provide STEM education also to allow academics, professors to work with industry as well, not just purely academic work. So we support both sides. So that work actually allowed me to understand what is real status in research, in academics, also how far from real implementation. So in '95, I had the opportunity to work in Japan actually. I had an opportunity...NSF had a collaboration program with the MITI government in Japan. So I took the STA fellowship called science and technology fellow, STA, and to work in Japan for six months and to work with 55 organizations like Toyota, Komatsu, Nissan, FANUC, et cetera. So by working with them, then you also understand what the real technology level Japan was, Japanese companies were. So then you got calibration in terms of how much U.S. manufacturing? How much Japanese manufacturing? So that was in my head, actually. I had good weighting factors to see; hmm, what's going on here between these two countries? That was the time. So when I came back, I said, oh, there's something we have to do differently. So I started to get involved in a lot of other things. In 1998, I had the opportunity to work for United Technologies because UTC came to see me and said, "Jay, you should really apply what you know to real companies." So they brought me to work as a Director for Product Environment Manufacturing Department for UTRC, United Technology Research Center, in East Hartford. Obviously, UTC business included Pratt & Whitney jet engines, Sikorsky helicopters, Otis elevators, Carrier Air Conditioning systems, Hamilton Sundstrand, et cetera. So all the products they're worldwide, but the problem is you want to support global operations. You really need not just the knowledge, what you know, but also the physical usage, what you don't know. So you know, and you don't know. So how much you don't know about a product usage, that's how the data is supposed to be coming back. Unfortunately, back in 1999, I have to tell you; unfortunately, most of the product data never came back. By the time it got back, it is more like a repair overhaul recur every year to a year later. So that's not good. So in Japan, I was experimenting the first remote machine monitoring system using the internet actually in 1995. So I published a paper in '98 about how to remotely use physical machine and cyber machine together. In fact, I want to say that's the first digital twin but as a cyber-physical model together. That was in my paper in 1998 in Journal of Machine Tools and Manufacture. TROND: So, in fact, you were a precursor in so many of these fields. And it just strikes me that as you're going through your career here, there are certain pieces that you seem to have learned all along the way because when you are a career changer oscillating between public, private, semi-private, research, business, you obviously run the risk of being a dilettante in every field, but you seem to have picked up just enough to get on top of the next job with some insight that others didn't have. And then, when you feel like you're frustrated in that current role, you jump back or somewhere else to learn something new. It's fascinating to me because, obviously, your story is longer than this. You have startup companies with your students and others in this business and then, of course, now with the World Economic Forum Lighthouse factories and the work you've been doing for Foxconn as well. So I'm just curious. And then obviously, we'll get to industrial AI, which is so interesting in your perspective here because it's not just the technology of it; it is the industrial practice of this new domain that you have this very unique, practical experience of how a new technology needs to work. Well, you tell me, how did you get to industrial AI? Because you got there to, you know, over the last 15-20 years, you integrated all of this in a new academic perspective. JAY: Well, that's where we start. So like I said earlier, I realized industry we did not have data back in the late 1990s. And in 1999, dotcom collapsed, remember? TROND: Yes, yes. JAY: Yeah. So all the companies tried to say, "Well, we're e-business, e-business, e-commerce, e-commerce," then in 2000, it collapsed. But the reality is that people were talking about e-business, but in the real world, in industrial setting, there's no data almost. So I was thinking, I mean, it's time I need to think about how to look at data-centric perspectives, how to develop such a platform, and also analytics to support if one-day data comes with a worry-free kind of environment. So that's why I decided to transition to an academic career in the year 2000. So what I started thinking, in the beginning, was where has the most data? As we all know, the product lifecycle usage is out there. You have lots of data, but we're not collecting it. So eventually, I called a central Intelligent Maintenance System called IMS, not intelligent manufacturing system because maintenance has lots of usage data which most developers of a product don't know. But if we have a way to collect this data to analyze and predict, then we can guarantee the product uptime or the value creation, and then the customer will gain most of the value back. Now we can use the data feedback to close-loop design. That was the original thinking back in the year 2000, which at that time, no cell phone could connect to the internet. Of course, nobody believed you. So we used a term called near-zero downtime, near-zero downtime, ZDT. Nobody believed us. Intel was my first founding member. So I made a pitch to FANUC in 2001. Of course, they did not believe it either. Of course, FANUC in 2014 adopted ZDT, [laughs] ZDT as a product name. But as a joke, when I talked to the chairman, the CEO of the company in 2018 in Japan, Inaba-san that "Do you know first we present this ZDT to your company in Michigan? They didn't believe it. Now you guys adopted." "Oh, I didn't know you use it." So when he came to visit in 2019, they brought the gift. [laughs] So anyway, so what happened is during the year, so we worked with the study of 6 companies, 20 companies and eventually they became over 100 companies. And in 2005, I worked with Procter & Gamble and GE Aircraft Engine. They now became GE Aviation; then, they got a different environment. So machine learning became a typical thing you use every day, every program, but we don't really emphasize AI at that time. The reason is machine learning is just a tool. It's an algorithm like a support-vector machine, self-organizing map, and logistic regression. All those are just supervised learning or now supervised learning techniques. And people use it. We use it like standard work every day, but we don't talk about AI. But over the years, when you work with so many companies, then you realize the biggest turning point was Toyota 2005 and P&G in 2006. The reason I'm telling you 2005 is Toyota had big problems in the factory in Georgetown, Kentucky, where the Camry factory is located. So they had big compressor problems. So we implemented using machine learning, the support-vector machine, and also principal component analysis. And we enable that the surge of a compressor predicted and avoided and never happened. So until today -- TROND: So they have achieved zero downtime after that project, essentially. JAY: Yeah. So that really is the turning point. Of course, at P&G, the diaper line continues moving the high volume. They can predict things, reduce downtime to 1%. There's a lot of money. Diaper business that is like $10 billion per year. TROND: It's so interesting you focus on downtime, Jay, because obviously, in this hype, which we'll get to as well, people seem to focus so much on fully automated versus what you're saying, which is it doesn't really, you know, we will get to the automation part, but it is the downtime that's where a lot of the savings is obviously. Because whether it's a lights out or lights on, humans are not the real saving here. And the real accomplishment is in zero downtime because that is the industrialization factor. And that is what allows the system to keep operating. Of course, it has to do with automation, but it's not just that. Can you then walk us through what then became industrial AI for you? Because as I've now understood it, it is a highly specific term to you. It's not just some sort of fluffy idea of very, very advanced algorithms and robots running crazy around autonomously. You have very, very specific system elements. And they kind of have to work together in some architectural way before you're willing to call it an industrial AI because it may be a machine tool here, and a machine tool there, and some data here. But for you, unless it's put in place in a working architecture, you're not willing to call it, I mean, it may be an AI, but it is not an industrial AI. So how did this thinking then evolve for you? And what are the elements that you think are crucial for something that you even can start to call an industrial AI? Which you now have a book on, so you're the authority on the subject. JAY: Well, I think the real motivation was after you apply all the machine learning toolkits so long...and a company like National Instruments, NI, in Austin, Texas, they licensed our machine learning toolkits in 2015. And eventually, in 2017, they started using the embedding into LabVIEW version. So we started realizing, actually, the toolkit is very important, not just from the laboratory point of view but also from the production and practitioners' point of view from industry. Of course, researchers use it all the time for homework; I mean, that's fine. So eventually, I said...the question came to me about 2016 in one of our industry advisory board meeting. You have so many successes, but the successes that happen can you repeat? Can you repeat? Can you repeatably have the same success in many, many other sites? Repeatable, scalable, sustainable, that's the key three keywords. You cannot just have a one-time success and then just congratulate yourself and forget it, no. So eventually, we said, oh, to make that repeat sustainable, repeatable, you have a systematic discipline. TROND: I'm so glad you say this because I have taken part in a bunch of best practice schemes and sometimes very optimistically by either an industry association or even a government entity. And they say, "Oh yeah, let's just all go on a bunch of factory visits." Or if it's just an IT system, "Let's just all write down what we did, and then share it with other people." But in fact, it doesn't seem to me like it is that easy. It's not like if I just explain what I think I have learned; that's not something others can learn from. Can you explain to me what it really takes to make something replicable? Because you have done that or helped Foxconn do that, for example. And now you're obviously writing up case studies that are now shared in the World Economic Forum across companies. But there's something really granular but also something very systemic and structured about the way things have to be explained in order to actually make it repeatable. What is the sustainability factor that actually is possible to not just blue copy but turn it into something in your own factory? JAY: Well, I think that there are basically several things. The data is one thing. We call it the data technology, DT, and which means data quality evaluation. How do you understand what to use, what not to use? How do you know which data is useful? And how do you know where the data is usable? It doesn't mean useful data is usable, just like you have a blood donation donor, but the blood may not be usable if the donor has HIV. I like to use an analogy like food. You got a fish in your hand; wow, great. But you have to ask where the fish comes from. [chuckles] If it comes from polluted water, it's not edible, right? So great fish but not edible. TROND: So there's a data layer which has to be usable, and it has to be put somewhere and put to use. It actually then has to be used. It can't just be theoretically usable. JAY: So we have a lot of useful data people collect. The problem is people never realized lots of them are not usable because of a lack of a label. They have no background, and they're not normalized. So eventually, that is a problem. And even if you have a lot of data, it doesn't mean it is usable. TROND: So then I guess that's how you get to your second layer, which I guess most people just call machine learning, but for you, it's an algorithmic layer, which is where some of the structuring gets done and some of the machines that put an analysis on this, put in place automatic procedures. JAY: And machine learning to me it's like cooking ware like a kitchen. You got a pan fry; you got a steamer; you got the grill. Those are tools to cook the food, the data. Food is like data. Cooking ware is like AI. But it depends on purpose. For example, you want fish. What do you want to eat first? I want soup. There's a difference. Do you want to grill? Do you want to just deep fry? So depending on how you want to eat it, the cooking ware will be selected differently. TROND: Well, and that's super interesting because it's so easy to say, well, all these algorithms and stuff they're out there, and all you have to do is pick up some algorithms. But you're saying, especially in a factory, you can't just pick any tool. You have to really know what the effect would be if you start to...for example, on downtime, right? Because I'm imagining there are very many advanced techniques that could be super advanced, but they are perhaps not the right tool for the job, for the workers that are there. So how does that come into play? Are these sequential steps, by the way? So once you figure out what the data is then, you start to fiddle with your tools. JAY: Well, there are two perspectives; one perspective is predict and prevent. So you predict something is going to happen. You prevent it from happening, number one. Number two, understand the root causes and potential root causes. So that comes down to the visible and invisible perspective. So from the visible world, we know what to measure. For example, if you have high blood pressure, you measure blood pressure every day, but that may not be the reason for high blood pressure. It may be because of your DNA, maybe because of the food you eat, because of lack of exercise, because of many other things, right? TROND: Right. JAY: So if you keep measuring your blood pressure doesn't mean you have no heart attack. Okay, so if you don't understand the reason, measuring blood pressure is not a problem. So I'm saying that you know what you don't know. So we need to find out what you don't know. So the correlation of invisible, I call, visible-invisible. So I will predict, but you also want to know the invisible reason relationship so you can prevent that relationship from happening. So that is really called deep mining those invisibles. So we position ourselves very clearly between visible-invisible. A lot of people just say, "Oh, we know what the problem is." The problem is not a purpose. For example, the factory manufacturing there are several very strong purposes, number one quality, right? Worry-free quality. Number two, your efficiency, how much you produce per dollar. If you say that you have great quality, but I spent $10,000 to make it, it is very expensive. But if you spend $2 to make it, wow, that's great. How did you do it? So quality per dollar is a very different way of judging how good you are. You got A; I spent five days studying. I got A; I spent two hours studying. Now you show the capability difference. TROND: I agree. And then the third factor in your framework seems to be platform. And that's when I think a lot of companies go wrong as well because platform is...at least historically in manufacturing, you pick someone else's platform. You say I'm going to implement something. What's available on the market, and what can I afford, obviously? Or ideally, what's the state of the art? And I'll just do that because everyone seems to be doing that. What does platform mean to you, and what goes into this choice? If you're going to create this platform for industrial AI, what kind of a decision is that? JAY: So DT is data, AT is algorithm, and PT is platform, PT platform. Platform means some common things are used in a shared community. For example, kitchen is a platform. You can cook. I can cook. I can cook Chinese food. I can cook Italian food. I can cook Indian food. Same kitchen but different recipe, different seasoning, but same cooking ware. TROND: Correct. Well, because you have a good kitchen, right? JAY: Yes. TROND: So that's -- JAY: [laughs] TROND: Right? JAY: On the platform, you have the most frequently used tool, not everything. You don't need 100 cooking ware in your kitchen. You probably have ten or even five most daily used. TROND: Regardless of how many different cuisines you try to cook. JAY: Exactly. That's called the AI machine toolkit. So we often work with companies and say, "You don't need a lot of tools, come on. You don't need deep learning. You need a good logistic regression and support-vector machine, and you're done." TROND: Got it. JAY: Yeah, you don't need a big chainsaw to cut small bushes. You don't need it. TROND: Right. And that's a very different perspective from the IT world, where many times you want the biggest tool possible because you want to churn a lot of data fast, and you don't really know what you're looking for sometimes. So I guess the industrial context here really constrains you. It's a constraint-based environment. JAY: Yes. So industry, like I said, the industry we talked about three Ps like I said: problems, purposes, and processes. So normally, problem comes from...the main thing is logistic problems, machine, and factory problems, workforce problems, the quality problems, energy problem, ignition problem, safety problems. So the problem happens every day. That's why in factory world, we call it firefighting. Typically, you firefight every day. TROND: And is that your metaphor for the last part of your framework, which is actually operation? So operation sounds really nice and structured, right? JAY: [chuckles] Yes. TROND: As if that was like, yeah, that's the real thing, process. We got this. But in reality, it feels sometimes, to many who are operating a factory; it's a firefight. JAY: Sometimes the reason lean theme work, Six Sigma, you turn a problem into a process, five Ss process, okay? And fishbone diagram, Pareto chart, and Kaizen before and after. So all the process, SOP, so doesn't matter which year workforce comes in, they just repeat, repeat, repeat, repeat, repeat. So in Toyota, the term used to be called manufacturing is just about the discipline. It's what they said. The Japanese industry manufacturing is about discipline, how you follow a discipline to everyday standard way, sustainable way, consistent way, and then you make good products. This is how the old Toyota was talking about, old one. But today, they don't talk that anymore. Training discipline is only one thing; you need to understand the value of customers. TROND: Right. So there are some new things that have to be added to the lean practices, right? JAY: Yes. TROND: As time goes by. So talk to me then more about the digital element because industrial AI to you, clearly, there's a very clear digital element, but there's so many, many other things there. So I'm trying to summarize your framework. You have these four factors: data, algorithms, platforms, and operations. These four aspects of a system that is the challenge you are dealing with in any factory environment. And some of them have to do with digital these days, and others, I guess, really have to do more with people. So when that all comes together, do you have some examples? I don't know, we talked about Toyota, but I know you've worked with Foxconn and Komatsu or Siemens. Can you give me an example of how this framework of yours now becomes applied in a context? Where do people pick up these different elements, and how do they use them? JAY: There's a matrix thinking. So horizontal thinking is a common thing; you need to have good digital thread including DT, data technology, AT, algorithms or analytics, PT, platform, edge cloud, and the things, and OT operation like scheduling, optimizations, stuff like that. Now, you got verticals, quality vertical, cost vertical, efficiency verticals, safety verticals, emission verticals. So you cannot just talk about general. You got to have focus on verticals. For example, let me give you one example: quality verticals. Quality is I'm the factory manager. I care about quality. Yes, the customer will even care more, so they care. But you have a customer come to your shop once a month to check. You ask them, "Why you come?" "Oh, I need to see how good your production." "How about you don't have to come? You can see my entire quality." "Wow, how do I do that?" So eventually, we develop a stream of quality code, SOQ, Stream Of Quality. So it's not just about the product is good. I can go back to connect all the processes of the quality segment of each station. Connect them together. Just like you got a fish, oh, okay, the fish is great. But I wonder, when the fish came out of water, when the fish was in the truck, how long was it on the road? And how long was it before reaching my physical distribution center and to my home? So if I have a sensor, I can tell you all the temperature history inside the box. So when you get your fish, you take a look; oh, from the moment the fish came out of the boat until it reached my home, the temperature remained almost constant. Wow. Now you are worry-free. It's just one thing. So you connect together. So that's why we call SOQ, Stream Of Quality, like a river connected. So by the time a customer gets a quality product, they can trace back and say, "Wow, good. How about if I let you see it before you come? How about you don't come?" I say, "Oh, you know what? I like it." That's what this type of manufacturing is about. It just doesn't make you happy. You have to make the customer happy, worry-free. MID-ROLL AD: In the new book from Wiley, Augmented Lean: A Human-Centric Framework for Managing Frontline Operations, serial startup founder Dr. Natan Linder and futurist podcaster Dr. Trond Arne Undheim deliver an urgent and incisive exploration of when, how, and why to augment your workforce with technology, and how to do it in a way that scales, maintains innovation, and allows the organization to thrive. The key thing is to prioritize humans over machines. Here's what Klaus Schwab, Executive Chairman of the World Economic Forum, says about the book: "Augmented Lean is an important puzzle piece in the fourth industrial revolution." Find out more on www.augmentedlean.com and pick up the book in a bookstore near you. TROND: So, Jay, you took the words out of my mouth because I wanted to talk about the future. I'm imagining when you say worry-free, I mean, you're talking about a soon-to-be state of manufacturing. Or are you literally saying there are some factories, some of the excellence factories where you've won awards in the World Economic Forum or other places that are working towards this worry-free manufacturing, and to some extent, they have achieved it? Well, elaborate for me a little bit about the future outlook of manufacturing and especially this people issue because you know that I'm engaged...The podcast is called Augmented Podcast. I'm engaged in this debate about automation. Well, is there a discrepancy between automation and augmentation? And to what extent is this about people running the system? Or is it the machines that we should optimize to run all the system? For you, it's all about worry-free. First of all, just answer this question, is worry-free a future ideal, or is it actually here today if you just do the right things? JAY: Well, first of all, worry-free is our mindset where the level of satisfaction should be, right? TROND: Yep. JAY: So to make manufacturing happen is not about how to make good quality, how to make people physically have less worry, how to make customers less worry is what is. But the reason we have a problem with workforce today, I mean, we have a hard time to hire not just highly skilled workers but even regular workforce. Because for some reason, not just U.S., it seems everywhere right now has similar problems. People have more options these days to select other living means. They could be an Uber driver. [laughs] They could be...I don't know. So there are many options. You don't have to just go to the factory to make earnings. They can have a car and drive around Uber and Lyft or whatever. They can deliver the food and whatever. So they can do many other things. And so today, you want to make workforce work environment more attractive. You have to make sure that they understand, oh, this is something they can learn; they can grow. They are fulfilled because the environment gives them a lot of empowerment. The vibe, the environment gives them a wow, especially young people; when you attract them from college, they'd like a wow kind of environment, not just ooh, okay. [laughs] TROND: Yeah. Well, it's interesting you're saying this. I mean, we actually have a lack of workers. So it's not just we want to make factories full of machines; it's actually the machines are actually needed just because there are no workers to fill these jobs. But you're looking into a future where you do think that manufacturing is and will be an attractive place going forward. That seems to be that you have a positive vision of the future we're going into. You think this is attractive. It's interesting for workers. JAY: Yeah. See, I often say that there are some common horizontal we have to use all the day. Vertical is the purpose, quality. I talked about vertical quality first, quality. But what are the horizontal common? I go A, B, C, D, E, F. What's A? AI. B is big data. C is cyber and cloud. D is digital or digital twin, whatever. E is environment ecosystem and emission reduction. What's F? Very important, fun. [laughs] If you miss that piece, who wants to work for a place there's no fun? You tell me would you work for...you and I, we're talking now because it's fun. You talk to people and different perspectives. I talk to you, and I say, wow, you've built some humongous network here in the physical...the future of digital, not just professional space but also social space but also the physical space. So, again, the fun things inspire people, right? TROND: They do. So talking about inspiring people then, Jay, if you were to paint a picture of this future, I guess, we have talked just now about workers and how if you do it right, it's going to be really attractive workplaces in manufacturing. How about for, I guess, one type of worker, these knowledge workers more generally? Or, in fact, is there a possibility that you see that not just is it going to be a fun place to be for great, many workers, but it's actually going to be an exciting knowledge workplace again? Which arguably, industrialization has gone through many stages. And being in a factory wasn't always all that rosy, but it was certainly financially rewarding for many. And it has had an enormous career progression for others who are able to find ways to exploit this system to their benefit. How do you see that going forward? Is there a scope, is there a world in which factory work can or perhaps in an even new way become truly knowledge work where all of these industrial AI factors, the A to the Fs, produce fun, but they produce lasting progression, and career satisfaction, empowerment, all these buzzwords that everybody in the workplace wants and perhaps deserves? JAY: That's how we look at the future workforce is not just about the work but also the knowledge force. So basically, the difference is that people come in, and they become seasoned engineers, experienced engineers. And they retire, and the wisdom carries with them. Sometimes you have documentation, Excel sheet, PPT in the server, but nobody even looks at it. That's what today's worry is. So now what you want is living knowledge, living intelligence. The ownership is very important. For example, I'm a worker. I develop AI, not just the computer software to help the machine but also help me. I can augment the intelligence. I will augment it. When I make the product happen, the inspection station they check and just tell me pass or no pass. They also tell me the quality, 98, 97, but you pass. And then you get your score. You got a 70, 80, 90, but you got an A. 99, you got an A, 91, you got an A, 92. So what exactly does A mean? So, therefore, I give you a reason, oh, this is something. Then I learn. Okay, I can contribute. I can use voice. I can use my opinion to augment that no, labeled. So next time people work, oh, I got 97. And so the reason is the features need to be maintained, to be changed, and the system needs to be whatever. So eventually, you have a human contribute. The whole process could be consisting of 5 experts, 7, 10, 20, eventually owned by 20 people. That legacy continues. And you, as a worker, you feel like you're part of the team, leave a legacy for the next generation. So eventually, it's augmented intelligence. The third level will be actual implementation. So AI is not about artificial intelligence; it is about actual implementation. So people physically can implement things in a way they can make data to decisions. So their decision mean I want to make an adjustment. I want to find out how much I should adjust. Physically, I can see the gap. I can input the adjustment level. The system will tell me physically how could I improve 5%. Wow, that's good. I made a 5% improvement. Your boss also knows. And your paycheck got the $150 increase this month. Why? Because my contribution to the process quality improved, so I got the bonus. That's real-world feedback. TROND: Let me ask you one last question about how this is going to play out; I mean, in terms of how the skilling of workers is going to allow this kind of process. A lot of people are telling me about the ambitions that I'm describing...and some of the guests on the podcasts and also the Tulip software platform, the owner of this podcast, that it is sometimes optimistic to think that a lot of the training can just be embedded in the work process. That is obviously an ideal. But in America, for example, there is this idea that, well, you are either a trained worker or an educated worker, or you are an uneducated worker. And then yes, you can learn some things on the job. But there are limits to how much you can learn directly on the job. You have to be pulled out, and you have to do training and get competencies. As you're looking into the future, are there these two tracks? So you either get yourself a short or long college degree, and then you move in, and then you move faster. Or you are in the factory, and then if you then start to want to learn things, you have to pull yourself out and take courses, courses, courses and then go in? Or is it possible through these AI-enabled training systems to get so much real-time feedback that a reasonably intelligent person actually never has to be pulled out of work and actually they can learn on the job truly advanced things? So because there are two really, really different futures here, one, you have to scale up an educational system. And, two, you have to scale up more of a real-time learning system. And it seems to me that they're actually discrepant paths. JAY: Sure. To me, I have a framework in my book. I call it the four P structure, four P. First P is principle-based. For example, in Six Sigma, in lean manufacturing, there's some basic stuff you have to study, basic stuff like very simple fishbone diagram. You have to understand those things. You can learn by yourself what that is. You can take a very basic introduction course. So we can learn and give you a module. You can learn yourself or by a group, principle-based. The second thing is practice-based. Basically, we will prepare data for you. We will teach you how to use a tool, and you will do it together as a team or as individual, and you present results by using data I give to you, the tool I give to you. And it's all, yeah, my team A presented. Oh, they look interesting. And group B presented, so we are learning from each other. Then after the group learning is finished, you go back to your team in the real world. You create a project called project-based learning. You take a tool you learn. You take the knowledge you learn and to find a project like a Six Sigma project you do by yourself. You formulate. And then you come back to the class maybe a few weeks later, present with a real-world project based on the boss' approval. So after that, you've got maybe a black belt but with the last piece professional. Then you start teaching other people to repeat the first 3ps. You become master black belt. So we're not reinventing a new term. It really is about a similar concept like lean but more digital space. Lean is about personal experience, and digital is about the data experience is what's the big difference. TROND: But either way, it is a big difference whether you have to rely on technological experts, or you can do a lot of these things through training and can get to a level of aptitude that you can read the signals at least from the system and implement small changes, perhaps not the big changes but you can at least read the system. And whether they're low-code or no-code, you can at least then through learning frameworks, you can advance, and you can improve in not just your own work day, but you can probably in groups, and feedbacks, and stuff you can bring the whole team and the factory forward perhaps without relying only on these external types of expertise that are actually so costly because they take you away. So per definition, you run into this; I mean, certainly isn't worry-free because there is an interruption in the process. Well, look, this is fascinating. Any last thoughts? It seems to me that there are so many more ways we can dig deeper on your experience in any of these industrial contexts or even going deeper in each of the frameworks. Is there a short way to encapsulate industrial AI that you can leave us with just so people can really understand? JAY: Sure. TROND: It's such a fundamental thing, AI, and people have different ideas about that, and industry people have something in their head. And now you have combined them in a unique way. Just give us one sentence: what is industrial AI? What should people leave this podcast with? JAY: AI is a cognitive science, but industrial AI is a systematic discipline is one sentence. So that means people have domain knowledge. Now we have to create data to represent our domain then have the discipline to solve the domain problems. Usually, with domain knowledge, we try with our experience, and you and I know; that's it. But we have no data coming out. But if I have domain become data and data become discipline, then other people can repeat our success even our mistake; they understand why. So eventually, domain, data, discipline, 3 Ds together, you can make a good decision, sustainable and long-lasting. TROND: Jay, this has been so instructive. I thank you for spending this time with me. And it's a little bit of a never-ending process. JAY: [laughs] TROND: Industry is not something that you can learn it and then...because also the domain changes and what you're doing and what you're producing changes as well. So it's a lifelong -- JAY: It's rewarding. TROND: Rewarding but lifelong quest. JAY: Yeah. Well, thank you for the opportunity to share, to discuss. Thank you. TROND: It's a great pleasure. You have just listened to another episode of the Augmented Podcast with host Trond Arne Undheim. The topic was Industrial AI. And our guest was Professor Jay Lee from University of Cincinnati. In this conversation, we talked about how AI in industry needs to work every time and what that means. My takeaway is that industrial AI is a breakthrough that will take a while to mature. It implies discipline, not just algorithms. In fact, it entails a systems architecture consisting of data, algorithm, platform, and operation. Thanks for listening. If you liked the show, subscribe at augmentedpodcast.co or in your preferred podcast player, and rate us with five stars. If you liked this episode, you might also like Episode 81: From Predictive to Diagnostic Manufacturing Augmentation. Hopefully, you'll find something awesome in these or in other episodes, and if so, do let us know by messaging us. We would love to share your thoughts with other listeners. The Augmented Podcast is created in association with Tulip, the frontline operation platform that connects the people, machines, devices, and systems used in a production or logistics process in a physical location. Tulip is democratizing technology and is empowering those closest to operations to solve problems. Tulip is also hiring. You can find Tulip at tulip.co. Please share this show with colleagues who care about where industry and especially where industrial tech is heading. To find us on social media is easy; we are Augmented Pod on LinkedIn and Twitter and Augmented Podcast on Facebook and YouTube. Augmented — industrial conversations that matter. See you next time. Special Guest: Jay Lee.

Po prostu Wschód
Ukraina. Media na froncie wojny

Po prostu Wschód

Play Episode Listen Later Sep 21, 2022 15:11


Olha Myrowycz, która kieruje Lwowskim Media Forum - organizacją wspierającą ukraińskie media, tłumaczy, jak działają ukraińscy dziennikarze od 24 lutego i dlaczego po raz pierwszy w swojej historii tak bardzo skupiają się na przekazie informacyjnym dla państw Zachodu. Rozmawiamy też o cenzurze wojennej i zagrożeniach z nią związanych. Stałe wsparcie dla podcastu: https://patronite.pl/PoProstuWschod https://zrzutka.pl/6m35sn. Jeśli spodobał się Państwu konkretnie ten odcinek, możecie przekazać napiwek buycoffee.to/ppw Playlista Radio Wschód, czyli najlepsza muzyka ze Wschodu https://cutt.ly/BRLGvhP W tym odcinku wykorzystałem fragment utworu: Morphhom, SadSvit - Powertajsa żywym Zachęcam do zajrzenia na fan-page Po prostu Wschód na Facebooku https://www.facebook.com/poprostuwschod #Ukraina, #Rosja, #wojna, #media, #prasa

Zdeňkův český podcast
Epizoda 241 - ZČP live (část 3)

Zdeňkův český podcast

Play Episode Listen Later Sep 18, 2022 19:24


3. září 2022 jsem na svém YouTube kanále udělal YouTube naživo. V podstatě je to celé založené na tom, že se odpovídám na komentáře posluchačů. Toto je třetí část tohoto live.  Omlouvám se všem za ne zrovna ideální zvuk. Bohužel se pořád ještě učím jak používat můj nový mikrofonový zesilovač a omylem jsem zesílil mikrofon příliš.  Tady je celý rozhovor ve video formátu: https://youtu.be/-xTcajz0BuY A tady je mini lekce z první části, kterou jsem nahrál výjimečně i pro nepatrony na svém Youtube kanále: https://youtu.be/d9gnw_GqN5g   _________________________________________________________________________ Chceš více epizod? A víš, že můžeš mít každý měsíc až 4 epizody navíc? Tyto epizody se jmenují mini lekce a vždy navazují na normální epizody včetně této. A o čem tyto epizody jsou? Je to jednoduché. V těchto epizodách vysvětuju a opakuji vybraná slovíčka a fráze z aktuální epizody. Veř mi, že pokud se chceš nová slova naučit rychle, je opravdu důležité, že z kontextu pochopíš, co znamenají a uslyšíš je vícekrát než jednou. :) Stát se patronem můžeš za 1 dolar měsíčně. To není ani cena jednoho piva :)   ✅ Staň se patronem ZČP - Získáš tak každý týden jednu epizodu (mini lekci) navíc, ve které Ti vysvětlím a procvičím slovíčka z aktuální epizody. Zároveň získáš přístup ke všem předcházejícím epizodám a mini lekcím pro patrony a pomůžete mi při tvorbě tohoto podcastu.  _________________________________________________________________________   ✅ "Učíme se česky" Discord skupina - Přidej se k této online komunitě na discordu, kterou jsem pro vás založil. Můžeš se tam zúčastnit super akcí, najít kamarády a procvičit s nimi svoji mluvenou češtinu. ✅ "ZČP" Youtube kanál - Poslouchej epizody ZČP češtiny lekce češtiny s Kubou (YouTube live) ✅ Facebook skupina Zdeňkova českého podcastu - Staň se součástí komunity na Facebooku. Budeš mít možnost lajkovat epizody a přidávat komentáře. ✅ Recenze na Apple Podcasts- Napiš, co si myslíš o ZČP na Apple Podcasts. Když napíšeš něco pěkného, pomůže mi to najít nový Zéčépáky. ✅ Teacherzdenek.com- Webové stránky - Učíš se anglicky? Víš , že mám i anglický podcast a YouTube kanál a nabízím cool individuální i skupinové kurzy a členství ve speciální Discord skupině Achievers Chamber?  _________________________________________________________________________ #cestina #cestinaprocizince #ceskyjazyk

2 DECKS 'n' a MIXER
Twista & Dappz on Flex FM 17th Sept 2022

2 DECKS 'n' a MIXER

Play Episode Listen Later Sep 17, 2022 120:40


Twista & Dappz on Flex FM 17th Sept 2022 by TW!STA

STA Engage
Minimizing Violent Storytelling

STA Engage

Play Episode Listen Later Sep 16, 2022 41:30


Star Trek Adventures contributor Jacob Ross (core rulebook, Gamma Quadrant Sourcebook) joins Jim and Michael to discuss how to run STA games that minimize violence but are still engaging for GMS and players alike. Hear tips on how to create campaigns that still intrigue and wow without phaser blasts and photon torpedoes. Challenge yourself to make mesmerizing campaigns that don't spill blood! We would love to hear your comments on this subject too! https://linktr.ee/studiotembo

Po prostu Wschód
Chiny, wojna, Rosja i Azja Centralna

Po prostu Wschód

Play Episode Listen Later Sep 16, 2022 17:45


W tym odcinku Po prostu Wschód łączenie z Tajwanem, a tam Michał Lubina z Uniwersytetu Jagiellońskiego, autor książki “Niedźwiedź w objęciach smoka. Jak Rosja została młodszym bratem Chin" o polityce #Chiny wobec #Rosja i Azji Środkowej, w tym głównie #Kazachstan. Stałe wsparcie dla podcastu: https://patronite.pl/PoProstuWschod https://zrzutka.pl/6m35sn. Jeśli spodobał się Państwu konkretnie ten odcinek, możecie przekazać napiwek buycoffee.to/ppw Playlista Radio Wschód, czyli najlepsza muzyka ze Wschodu https://cutt.ly/BRLGvhP W tym odcinku wykorzystałem fragment utworu: Munisa Rizayeva - Jonginam Zachęcam do zajrzenia na fan-page Po prostu Wschód na Facebooku https://www.facebook.com/poprostuwschod

Star Trek: Reliant (RPG Live Play)
Star Trek: Reliant – Tardi-Grade A Specimen

Star Trek: Reliant (RPG Live Play)

Play Episode Listen Later Sep 15, 2022 91:10


An unknown gaseous anomaly just materialises, the Riutheans need a new rifle and complications abound.

il posto delle parole
Elisabetta Rosaspina "Enigma Evita"

il posto delle parole

Play Episode Listen Later Sep 14, 2022 28:22


Elisabetta RosaspinaEnigma Evita"Storia della donna che ammaliò il mondoMondadorihttps://www.mondadori.it/Giovedì 2 settembre 1971. Un carro funebre, partito dal cimitero Maggiore di Milano, sfreccia lungo la Riviera italiana e francese in direzione del confine spagnolo. L'autista non sa ancora chi sta portando a Madrid. I documenti identificano la defunta come Maria Maggi vedova De Magistris, ma l'eccentrico personaggio che accompagna il feretro, e si presenta come il fratello, sa che quelle carte mentono. Nella bara c'è il corpo mummificato di Evita, che per quattordici anni è stata sepolta sotto falso nome. Sta tornando dal marito, Juan Domingo Perón, l'ex presidente dell'Argentina, esule nella Spagna di Francisco Franco dopo essere stato deposto nel 1955 dalla Revolución Libertadora.Inizia così, con i ricordi tuttora vividi dello chauffeur italiano che inconsapevolmente contribuì a trafugare la mummia più ricercata al mondo, la biografia della donna che in patria continua a essere venerata come una santa. Oppure odiata come un'arrampicatrice senza scrupoli. Quel viaggio, in fondo, è anche la metafora della vita di Eva Duarte: un'esistenza vissuta a tutta velocità, bruciata dall'ansia di arrivare. Viva o morta, il suo traguardo è sempre stato Perón.Le intense pagine di Elisabetta Rosaspina la seguono da quando, sedicenne, partì dall'anonimato e dalla povertà della pampa verso il suo riscatto, nella Buenos Aires degli anni Trenta e Quaranta. Cercava fortuna come attrice, l'avrebbe trovata come politica e filantropa, fino a diventare la donna più potente dell'America Latina, capace di riscuotere l'ammirazione dell'Europa intera, allorché, nell'immediato dopoguerra, girò la Spagna, l'Italia, il Vaticano, la Francia, il Portogallo e la Svizzera in settantanove giorni di lussi e di misteri.Ha «regnato» sull'Argentina appena sette anni, consacrandosi all'amore per i suoi descamisados e all'odio per l'oligarchia, eppure sarà sempre circondata da intrighi e sospetti, idolatria e maldicenza. Persino sulle sue spoglie, «eternizzate» da un medico spagnolo, si scateneranno battaglie, e sulla sua memoria continueranno a scontrarsi sostenitori e detrattori. L'enigma di Evita, agli occhi del mondo, non è mai stato svelato.Elisabetta Rosaspina, giornalista, ha lavorato alla «Notte», al «Giornale» e al «Corriere della Sera». Nel 2019 ha pubblicato da Mondadori Margaret Thatcher, con cui ha vinto il premio Comisso nella sezione BiografiaIL POSTO DELLE PAROLEAscoltare fa Pensarehttps://ilpostodelleparole.it/

Valuable Conversations with UCL IIPP

Welcome to Valuable Conversations with the Institute for Innovation and Public Purpose. In this episode, MPA alumni Gwen Casazza and Justin Beirold talk to IIPP's fearless leader, Mariana Mazzucato. Like many people at IIPP, Gwen and Justin came to the institute in large part because of Mariana and her ideas. Mariana is one of the most influential economists in the world, and as a result, there are hundreds of podcasts, YouTube videos, interviews, and lectures featuring her. We decided that we would get into the weeds about the substance of her research, but we also wanted to learn more about her as a person. We talked about her childhood in an Italian family in New Jersey and being inspired by her High School history teacher. We discussed the trials and tribulations of the past decade, as she went from being a respected professor to running her own institute and becoming low-key famous (relative to most economists). She tells us about the critical importance of crafting new economic narratives in addition to new policy ideas. And of course, we covered some of the most exciting projects she is working on at the IIPP, including her work with Camden Council, the City of Barcelona, and the (all-women) WHO Council on Economics of Health For All. Guest Bio: Mariana Mazzucato is Professor in the Economics of Innovation and Public Value at University College London (UCL), where she is Founding Director of the UCL Institute for Innovation & Public Purpose (IIPP). She is winner of international prizes including the 2020 John von Neumann Award, the 2019 All European Academies Madame de Staël Prize for Cultural Values, and the 2018 Leontief Prize for Advancing the Frontiers of Economic Thought. She was named as one of the '3 most important thinkers about innovation' by The New Republic, one of the 50 most creative people in business in 2020 by Fast Company, and one of the 25 leaders shaping the future of capitalism by WIRED. She advises policymakers around the world on innovation-led inclusive and sustainable growth. Her current roles include being Chair of the World Health Organization's Council on the Economics of Health for All and a member of the Scottish Government's Council of Economic Advisors, the South African President's Economic Advisory Council, the OECD Secretary General's Advisory Group on a New Growth Narrative, the UN High Level Advisory Board for Economic and Social Affairs, Argentina's Economic and Social Council, Vinnova's Advisory Panel in Sweden, and Norway's Research Council. Previously, through her role as Special Advisor for the EC Commissioner for Research, Science and Innovation (2017-2019), she authored the high-impact report on Mission-Oriented Research & Innovation in the European Union, turning “missions” into a crucial new instrument in the European Commission's Horizon innovation programme. We hope you enjoy this conversation! - Read Mariana's latest book - “Mission Economy: A Moonshot Guide to Changing Capitalism (Link) https://marianamazzucato.com/books/mission-economy - Learn more about the WHO Council on the Economics of Health for All (Link) https://www.who.int/groups/who-council-on-the-economics-of-health-for-all/members Follow Mariana on Twitter: @MazzucatoM Learn about our alumni hosts: - Justin Beirold (Link) https://www.ucl.ac.uk/bartlett/public-purpose/justin-beirold - Gwendolyn Casazza (Link) https://www.ucl.ac.uk/bartlett/public-purpose/gwendolyn-casazza Follow IIPP on Twitter: @IIPP_UCL https://twitter.com/IIPP_UCL https://www.ucl.ac.uk/bartlett/public-purpose/ Production and music by Justin Beirold

Po prostu Wschód
Kazachstan: polityka i gospodarka w cieniu Rosji

Po prostu Wschód

Play Episode Listen Later Sep 13, 2022 18:48


Po prostu Wschód prosto z Kazachstanu. W nim o tym, dlaczego Astana politycznie dystansuje się od Rosji, a gospodarczo ją wspiera oraz skąd się bierze poparcie zwykłych Kazachów dla Ukrainy. W odcinku także o rosyjsko- i kazaskojęzycznych mediach, miejscowych Polakach oraz kościele katolickim. Stałe wsparcie dla podcastu: https://patronite.pl/PoProstuWschod https://zrzutka.pl/6m35sn. Jeśli spodobał się Państwu konkretnie ten odcinek, możecie przekazać napiwek buycoffee.to/ppw Playlista Radio Wschód, czyli najlepsza muzyka ze Wschodu https://cutt.ly/BRLGvhP W tym odcinku wykorzystałem fragment utworu: Sadraddin - Tun Zachęcam do zajrzenia na fan-page Po prostu Wschód na Facebooku https://www.facebook.com/poprostuwschod

Plus
Glosa Plus: Iva Pekárková: Když jdou zrovna všichni od zubaře

Plus

Play Episode Listen Later Sep 13, 2022 2:36


Nasazení korunky na stoličku dopadlo skvěle. Stačilo dvakrát zajít k paní zubařce. Ta polorozpadlý zub s několika plombami pečlivě vyčistila a košatou díru v něm otiskla do rychle tuhnoucí polyethylové hmoty, podle které mi v zubní laborce vyrobili korunku.

Czechitas Podcast
Žena, která programovala děrné štítky: Bronislava Milinková

Czechitas Podcast

Play Episode Listen Later Sep 12, 2022 40:41


Bronislava Milinková programovala v šedesátých a sedmdesátých letech velké sálové počítače. Přesto je podle ní princip programování úplně stejný i dnes. Stačí zadat příkaz. Následně už nezáleží na tom, na jakém přístroji pracujete. Jak sama říká, kdyby ji sloužila paměť, mohla by se znalostí programovacího jazyka Cobol pracovat i v důchodu. Jak vypadala práce programátorky a platové rozdíly v tehdejší době? Jak se změnila výpočetní technika nebo vyučovací metody? Poslechněte si náš další podcast.

Marco Montemagno - Il Podcast
come non accorgersi per 50 anni di qualcosa che sta ogni giorno davanti ai tuoi occhi...

Marco Montemagno - Il Podcast

Play Episode Listen Later Sep 12, 2022 0:39


come non accorgersi per 50 anni di qualcosa che sta ogni giorno davanti ai tuoi occhi...

Zdeňkův český podcast
Epizoda 240 - ZČP live (část 2)

Zdeňkův český podcast

Play Episode Listen Later Sep 11, 2022 22:26


Třetího září 2022 jsem na svém YouTube kanále udělal YouTube naživo. V podstatě je to celé založené na tom, že se odpovídám na komentáře posluchačů. Toto je druhá část tohoto live.  Omlouvám se všem za ne zrovna ideální zvuk. Bohužel se pořád ještě učím jak používat můj nový mikrofonový zesilovač a omylem jsem zesílil mikrofon příliš.  Tady je celý rozhovor ve video formátu: https://youtu.be/-xTcajz0BuY A tady je mini lekce z první části, kterou jsem nahrál tentokrát výjimečně i pro nepatrony na svém Youtube kanále: https://youtu.be/d9gnw_GqN5g   _________________________________________________________________________ Chceš více epizod? A víš, že můžeš mít každý měsíc až 4 epizody navíc? Tyto epizody se jmenují mini lekce a vždy navazují na normální epizody včetně této. A o čem tyto epizody jsou? Je to jednoduché. V těchto epizodách vysvětuju a opakuji vybraná slovíčka a fráze z aktuální epizody. Veř mi, že pokud se chceš nová slova naučit rychle, je opravdu důležité, že z kontextu pochopíš, co znamenají a uslyšíš je vícekrát než jednou. :) Stát se patronem můžeš za 1 dolar měsíčně. To není ani cena jednoho piva :)   ✅ Staň se patronem ZČP - Získáš tak každý týden jednu epizodu (mini lekci) navíc, ve které Ti vysvětlím a procvičím slovíčka z aktuální epizody. Zároveň získáš přístup ke všem předcházejícím epizodám a mini lekcím pro patrony a pomůžete mi při tvorbě tohoto podcastu.  _________________________________________________________________________   ✅ "Učíme se česky" Discord skupina - Přidej se k této online komunitě na discordu, kterou jsem pro vás založil. Můžeš se tam zúčastnit super akcí, najít kamarády a procvičit s nimi svoji mluvenou češtinu. ✅ "ZČP" Youtube kanál - Poslouchej epizody ZČP češtiny lekce češtiny s Kubou (YouTube live) ✅ Facebook skupina Zdeňkova českého podcastu - Staň se součástí komunity na Facebooku. Budeš mít možnost lajkovat epizody a přidávat komentáře. ✅ Recenze na Apple Podcasts- Napiš, co si myslíš o ZČP na Apple Podcasts. Když napíšeš něco pěkného, pomůže mi to najít nový Zéčépáky. ✅ Teacherzdenek.com- Webové stránky - Učíš se anglicky? Víš , že mám i anglický podcast a YouTube kanál a nabízím cool individuální i skupinové kurzy a členství ve speciální Discord skupině Achievers Chamber?  _________________________________________________________________________ #cestina #cestinaprocizince #ceskyjazyk

Sacramento County's Podcast
STA August 11, 2022

Sacramento County's Podcast

Play Episode Listen Later Sep 9, 2022 49:51


The STA is primarily responsible for administering the Measure A program: the half-percent sales tax for transportation improvements in Sacramento County.

Insider
Insider #122 - Čermák, Staněk

Insider

Play Episode Listen Later Sep 9, 2022 44:38


Energetická vs. covidová krize, počínání současné vlády a kulturní války. To všechno ve velmi uvolněné atmosféře, ve studiu totiž byli Miloš Čermák a Luděk Staněk. Partnerem podcastu je advokátní kancelář ROWAN LEGAL a  společnost young_block. A co víc? - Hodnocení výroku MPA, že si máme v zimě vzít dva svetry- Srovnání komunikace současné a minulé vlády- Funkčnost EU během krizí - Cyklistika v Praze- Protesty na Babišových výjezdech- Prague Pride- Změny pohlaví- Umělá inteligence A do toho všeho řev a smích Luďka Staňka. CELÝ DÍL POUZA NA PATREONU A GAZETISTU. Sledujte nás: 

Razgledi in razmisleki
Poljski esejist in potopisec Nikodem Szczygłowski: "Ne moremo pozabiti na to, kar se nam je zgodilo v tem prostoru."

Razgledi in razmisleki

Play Episode Listen Later Sep 8, 2022 23:46


Poljski potopisec, novinar, esejist in prevajalec je diplomiral iz mediteranske arheologije v Lodžu in iz menedžmenta v Pragi. Že med študijem se je srečal s slovensko književnostjo, kar ga je spodbudilo, da je prišel v Slovenijo in se naučil slovensko. Piše v poljščini in litovščini, prevaja tudi iz slovenščine in ukrajinščine. Konec avgusta je Nikodem Szczygłowski sodeloval na mednarodnem prevajalskem seminarju slovenske književnosti v Mariboru. Takrat se je z njim pogovarjala Staša Grahek.

Zdeňkův český podcast
Epizoda 239 - ZČP live (část 1)

Zdeňkův český podcast

Play Episode Listen Later Sep 4, 2022 22:30


Třetího září 2022 jsem na svém YouTube kanále udělal YouTube naživo. V podstatě je to celé založené na tom, že se odpovídám na komentáře posluchačů. Toto je první část tohoto live.  Omlouvám se všem za ne zrovna ideální zvuk. Bohužel se pořád ještě učím jak používat můj nový mikrofonový zesilovač a omylem jsem zesílil mikrofon příliš.  Tady je celý rozhovor ve video formátu: https://youtu.be/-xTcajz0BuY  _________________________________________________________________________ Chceš více epizod? A víš, že můžeš mít každý měsíc až 4 epizody navíc? Tyto epizody se jmenují mini lekce a vždy navazují na normální epizody včetně této. A o čem tyto epizody jsou? Je to jednoduché. V těchto epizodách vysvětuju a opakuji vybraná slovíčka a fráze z aktuální epizody. Veř mi, že pokud se chceš nová slova naučit rychle, je opravdu důležité, že z kontextu pochopíš, co znamenají a uslyšíš je vícekrát než jednou. :) Stát se patronem můžeš za 1 dolar měsíčně. To není ani cena jednoho piva :)   ✅ Staň se patronem ZČP - Získáš tak každý týden jednu epizodu (mini lekci) navíc, ve které Ti vysvětlím a procvičím slovíčka z aktuální epizody. Zároveň získáš přístup ke všem předcházejícím epizodám a mini lekcím pro patrony a pomůžete mi při tvorbě tohoto podcastu.  _________________________________________________________________________   ✅ "Učíme se česky" Discord skupina - Přidej se k této online komunitě na discordu, kterou jsem pro vás založil. Můžeš se tam zúčastnit super akcí, najít kamarády a procvičit s nimi svoji mluvenou češtinu. ✅ "ZČP" Youtube kanál - Poslouchej epizody ZČP češtiny lekce češtiny s Kubou (YouTube live) ✅ Facebook skupina Zdeňkova českého podcastu - Staň se součástí komunity na Facebooku. Budeš mít možnost lajkovat epizody a přidávat komentáře. ✅ Recenze na Apple Podcasts- Napiš, co si myslíš o ZČP na Apple Podcasts. Když napíšeš něco pěkného, pomůže mi to najít nový Zéčépáky. ✅ Teacherzdenek.com- Webové stránky - Učíš se anglicky? Víš , že mám i anglický podcast a YouTube kanál a nabízím cool individuální i skupinové kurzy a členství ve speciální Discord skupině Achievers Chamber?  _________________________________________________________________________ #cestina #cestinaprocizince #ceskyjazyk

SemiWiki.com
Podcast EP105: Cadence STA Strategy and Capabilities, Today and Tomorrow with Brandon Bautz

SemiWiki.com

Play Episode Listen Later Sep 2, 2022 17:05


Dan is joined by Brandon Bautz, senior group director of product management responsible for silicon signoff and verification product lines in the Cadence Digital & Signoff Group. Brandon has more than 20 years of experience in chip design and the EDA industry and has been at Cadence for over 10 years. Dan explores the current… Read More

Frekvenca X
Kako naše najmlajše navdušiti za znanost?

Frekvenca X

Play Episode Listen Later Sep 1, 2022 27:42


Frekvenca X tokrat pogleduje k najmlajšim, ki prav danes začenjajo novo šolsko leto. Marsikdo reče, da šola ubije radovednost, nas pa zanima ravno nasprotno: kako pri mladih danes spodbujati radovednost in veselje do znanosti? Podali smo se med knjige, v muzej, celo na predstavo … in izvedeli marsikaj zanimivega. Zame je znanost neke vrste način razmišljanja, model, kako svet deluje, metoda za reševanje problemov. Ko rečem, da je treba otroke navduševati za znanost, ne mislim na akademsko znanost v člankih, ampak na način razmišljanja, kako se rešuje probleme. Reševanje problemov je vedno koristna lastnost. Mlajši kot si, lažje se učiš. dr. Ajasja Ljubetič, znanstveni sodelavec na Kemijskem inštitutu Obstajajo normativi, priporočila, koliko naj bi imeli v zbirkah odstotek poučnih knjig – 60% poučnih proti 40% leposlovja, a mi ga zdaleč ne dosegamo. Leta 1994 je bilo 35%, potem pa so šli na 20%, tistega leta nismo imeli niti ene domače zlate hruške … Letos imamo dobro bero, ampak ti odstotki so zelo nizki. Darja Lavrenčič Vrabec, vodja Pionirske Že nekaj časa so izjemno priljubljene razne enciklopedije, ki določene teme predstavljajo skrčeno, so pa naslovi zelo podobni. Mene pa zanimajo ti najbolj temeljni pojmi, ki jih uporabljamo ves čas. Tako je tudi nastala knjiga 50 abstraktnih izumov, v katerih sem želela takšne pojme razložiti čim bolj preprosto. Tina Bilban, pisateljica otroške poučne literature Preden pošljem knjigo v tisk, rad preizkusim ilustracije na ciljnem bralstvu. Najbolj me je strah, da ne bi bil razumljen, da bi usekal mimo, da me ne bi razumeli, kaj hočem povedati. Ilustrator je tisti, ki omehča vsebino. Ivan Mitrevski, ilustrator, stripar Ne smeš biti dolgočasen, ne smeš siliti, treba je pustiti, da sami razmišljajo, da skozi ustvarjalnost prihajajo do spoznanj. Staša Tome, zaposlena v Prirodoslovnem muzeju, doktorica bioloških znanosti Otrok je po svoji primarni funkciji znanstvenik, raziskuje ves čas od trenutka, ko je prišel na svet, pozneje pa ta trenutek samo pada … ni jih treba posebej navduševati za znanosti, treba jim je omogočiti raziskovanje, da si privoščijo stvari, ki si jih otroci doma več ne upajo ali ne smejo privoščiti. Miha Golob, gledališki režiser, ki dela veliko predstav za otroke Oddaja vsebuje tudi namige za dobre knjige in načine preživljanja časa z otroki, zato je zaželeno, da jim skupaj z mladimi radovednimi glavami prisluhnete predvsem starši, stari starši, skrbniki, vzgojitelji in učitelji.

NerdCast
NerdCast 844 - O poder de Roma

NerdCast

Play Episode Listen Later Aug 24, 2022 119:49


Neste podcast: Vamos discutir sobre a história de Roma focando nas grandes batalhas, territórios conquistados e potencial bélico ao longo de centenas de anos. Versão Wallpaper da Vitrine MEUSUCESSO.COM Conheça meuSucesso.com: https://jovemnerd.page.link/ncempreendedor8_meuSucesso OUÇA TAMBÉM Playlist completa Nerdcast Empreendedor: https://bit.ly/3kpYPcA Playlist completa Nerdcast Empreendedor no Spotify: https://spoti.fi/3G9seQU NerdCast Empreendedor 90 - Qual é o melhor canal de venda? SANTO GUERREIRO: VENTOS DO NORTE Garanta o seu na pré-venda: https://amzn.to/3R9PZOP NERDSTORE Aproveite o PIX PARCELADO com Cashback: https://nerdstore.com.br/?utm_source=jovem-nerd&utm_medium=nerdcast&utm_campaign=pix-parcelado   A LENDA DO HERÓI Participe do crowdfunding:  https://www.nuuvem.com/lp/pt/lenda2/ PEDIDO DE DOAÇÃO Pedido de doação para Samuel de Carvalho no INTO do Rio de Janeiro onde os estoques  de sangue estão baixos. Doação pelo HEMOINTO – Avenida brasil, 500 São Cristóvão RJ, 1ª andar. Será útil qualquer tipo sanguíneo  Pedido de doação para Jossilene da Silva Rodrigues. Doação pelo Hemocentro na R. Marquês de Itu, 579, Vila Buarque (próximo ao metrô Sta. Cecília) com agendamento pelo Aplicativo Sangue amigo ou 2176-7155 e também pelo Hospital São Luiz Gonzaga R.Michel Ouchana- 94-Jaçanã. Pedido de doação para Gracilene Cecília Dalla Costa  Doação pelo Banco de sangue Dom Bosco em Maringá, Paraná. Qualquer tipo sanguíneo  O projeto se chama "Hemocão" e buscam as doações em domicílio. O Instagram é @hemocao E-MAILS Mande suas críticas, elogios, sugestões e caneladas para nerdcast@jovemnerd.com.br EDIÇÃO COMPLETA POR RADIOFOBIA PODCAST E MULTIMÍDIA http://radiofobia.com.br