Podcasts about prof

Today we're talking about strength. Building muscle doesn't have to mean lifting heavy weights in a fancy gym. In fact, you can do it from the comfort of your living room. No expensive memberships, no extra long workouts, no excuses. To prove it, I asked human performance expert Andy Galpin to design an at-home strength session for someone who's never lifted a weight before - my sister. It's quick, cheap, and a sure fire way to add years to your healthspan.  If you're new to strength training, this episode is the perfect place to start.

*** Prof. John Mearsheimer : Is Trump's War Beyond Control?See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Prof. Jeffrey Sachs : Did Trump Just Start WWIII ?See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Join Elevated GP: www.theelevatedgp.com Register for the live meeting: https://www.theelevatedgp.com/ElevationSummit Download the Injection Molding Guide: https://www.theelevatedgp.com/IMpdf  In Part 2 of this series, Dr. Melissa Seibert and Professor Bart Van Meerbeek transition from foundational adhesive science into the nuanced clinical decisions that shape long-term outcomes. If Part 1 established the biological and material principles behind durable bonding, this episode addresses the gray zones clinicians navigate daily: contamination, enzymatic degradation, substrate variability, polymerization stress, and postoperative sensitivity. The discussion confronts several widely accepted assumptions and asks a more rigorous question: what does the evidence actually support? Professor Van Meerbeek offers data-driven clarity on topics that are often ritualized rather than critically examined. From the debated role of chlorhexidine and MMP inhibition to the thermal effects of curing lights, air particle abrasion, C-factor management, and the true value of flowable composites, this conversation reframes bonding as a system rather than a single step. The message is consistent: simplification may be attractive, but substrate awareness, technique sensitivity, and respect for hydrophobic layering remain central to predictable outcomes. The episode concludes with a forward-looking reflection on where adhesive dentistry stands today. According to Van Meerbeek, modern multi-step systems may already be operating above 90% of their theoretical potential. The future, therefore, is not merely about bonding harder but bonding smarter—possibly integrating bioactivity without compromising performance. For clinicians committed to practicing with intellectual precision rather than procedural habit, this episode provides both reassurance and recalibration.  

Watch all of our Epstein videos here:    • Epstein  Watch all of our Hamamoto videos here:    • Professor Hamamoto  Hamamoto on YouTube:    / @professorhamamoto  Prof. Darrell Hamamoto, who is an American writer, academic, and specialist in U.S. media and ethnic studies.Professors Facebook : https://www.facebook.com/share/hZajgC...UNTOUCHABLE - Jimmy Savile documentary    • UNTOUCHABLE - Jimmy Savile documentary by ...  ADOPTED KID'S CA HORROR STORY & BOYS TOWN! PASTOR Eddie https://youtube.com/live/vD3SGWpnfyMWatch Used By ELITES From Age 6 - Survivor Kelly Patterson https://youtube.com/live/nkKkIfLkRx0KELLY'S 2 HOUR VIDEO ON VIRGINIA    • Video  BOOK LINKS: Who Killed Epstein? Prince Andrew or Bill Clinton by Shaun Attwood UK: https://www.amazon.co.uk/dp/B093QK1GS1 USA: https://www.amazon.com/dp/B093QK1GS1 Worldwide: https://books2read.com/u/bQjGQD All of Shaun's books on Amazon UK: https://www.amazon.co.uk/stores/Shaun...All of Shaun's books on Amazon USA: https://www.amazon.com/stores/Shaun-A...Follow P Diddys latest:   • P Diddy  #jayz #beyonce #hollywood #countrymusic #nashville #pdiddy #puffdaddy #truecrime #news #youtubenews #podcast #livestream #youtube #thepope #vatican #church Here are Hamamoto's recommended books:Can't Stop Won't Stop:A History of the Hip-Hop Generation ——-The Psychological Covert War on Hip-Hop——-The Covert War Against Rock:What You Don't Know About The Deaths of;(Jim Morrison, Tupac Shakur, Michael Hutchence, Brian Jones, Jimi Hendrix,Phil Ochs, Bob Marley, Peter Tosh, John Lennon & The Notorious B.I.G)——-Hit Men:Power Brokers and Fast Money Inside the Music Business——-Me, the Mob, and the Music:One Helluva Ride Tommy James and the Shondells——-Godfather of the Music Business:Morris Levy (American Made Music Series)——-LAbyrinth:A Detective Investigates the Murders of Tupac Shakur and Notorious B.I.G., the Implication of Death Row Records, Suge Knight, and the Origins of the Los Angeles——-The FBI war on Tupac Shakur:State repression of Black Leaders from the Civil Rights Error to the 1990s (real world)——-The FBI war on Tupac Shakur and Black Leaders:US Intelligence's: Murderous Targeting of Tupac, MLK, Malcol, Panthers, Hendrix, Marley rappers and Linked Ethic Leftists——-Have Gun Will Travel:The Spectacular Rise and Violent Fall of Death Row Records——-The Big Payback:The History of the Business of Hip-Hop——-Ruthless:A Memoir——-Hip-Hop Decoded——-Q: The Autobiography of Quincy Jones——-How to Wreck a Nice Beach:The Vocoder from WW II to Hip-Hop, The Machine Speaks——-Dancing with the Devil:How Puff burned the bad boys of Hip-Hop——-Hiding in Hip-Hop:On the Down Low in the Entertainment industry—from Music to Hollywood

Anne Ghesquière reçoit Natasha Andrews, professeure de yoga et praticienne en santé intégrative. Comment passer d'une santé subie à une vitalité joyeuse et durable ? Comment décoder les cycles saisonniers pour mieux prendre soin de soi ? Et comment les pratiques ancestrales comme le yoga et l'Ayurveda peuvent-elles devenir de véritables alliées de longévité et une santé rayonnante ? Natasha Andrews nous invite à ralentir, à respirer et à renouer avec les rythmes naturels du corps et de la vie. Yoga saisonnier, respiration, rituels bien-être, alimentation inspirée de l'Ayurveda : elle mêle avec grâce philosophie du vivant et hygiène de vie pour rendre la santé plus simple, plus consciente et plus accessible. Son magnifique ouvrage FLOW (S), est publié chez Hachette. Épisode #671Quelques citations du podcast avec Natasha Andrews :"Qu'on soit un corps humain, un arbre, même un objet inanimé, on fait partie d'une même trame d'énergie.""La beauté nous inspire, nous aide à nous reconnecter à soi, nous ouvre les yeux.""Ces pratiques ancestrales, le simple fait de se connecter à soi, de ralentir, de bien manger, prendre soin de soi, nous aident à rester présents, résilients et finalement être plus en harmonie avec la vie."Recevez chaque semaine l'inspirante newsletter Métamorphose par Anne GhesquièreDécouvrez Objectif Métamorphose, notre programme en 12 étapes pour partir à la rencontre de soi-même.Suivez nos RS : Insta, Facebook & TikTokAbonnez-vous sur Apple Podcast /Spotify / Deezer / CastBox / YoutubeSoutenez Métamorphose en rejoignant la Tribu MétamorphoseThèmes abordés lors du podcast avec Natasha Andrews :00:00Introduction01:30L'invitée03:37L'impact d'une nature sauvage et enveloppante05:47Le rituel du lac de l'Arbre à thé10:21L'importance de l'esthétique11:22Qu'est-ce que le flow ?12:20L'union avec la nature14:15Les bienfaits du earthing !15:48Froid & immunité19:47Cycle féminin et jeune intermittent21:56Le Yoga sūtra pour retrouver l'équilibre23:58Se reconnecter à la non-dualité25:40Comment intégrer ces pratiques au quotidien ?27:16Comment le yoga influence la santé cellulaire ?31:01 La respiration nasale31:45Un Kriya à pratiquer au quotidien32:52Les enseignements des doshas34:31Alimentation et saisonnalité37:14Les bienfaits des bouillons41:09Les 5 piliers de la médecine intégrative44:11Comment préserver sa santé hormonale ?46:45Routine avant le coucher47:35Les conseils alimentation50:13Activité physique et cortisol51:45L'importance du renforcement physique53:21 L'hygiène nasale55:24Les 3 compléments à prendre toute l'année58:26Un mantra pour garder l'élan ;-)Avant-propos et précautions à l'écoute du podcast Photo DR Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

Viewpoint This Sunday with Malcolm Out Loud – President Trump, along with Israel, began attacks on Iran. As Iran sent missiles into Arab nations, the tide began to turn as Arab states joined in to battle the Iranian regime! LTC Sargis Sangari, Prof. Pedro Blas González, and Intel Analyst Ilana Freedman in a panel discussion: A transformative President at America's 250th...

Viewpoint This Sunday with Malcolm Out Loud – President Trump, along with Israel, began attacks on Iran. As Iran sent missiles into Arab nations, the tide began to turn as Arab states joined in to battle the Iranian regime! LTC Sargis Sangari, Prof. Pedro Blas González, and Intel Analyst Ilana Freedman in a panel discussion: A transformative President at America's 250th...

Prof. Mohammad Marandi : The Bombs Are Falling: LIVE From Iran !See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

durée : 00:28:13 - Les Pieds sur terre - par : Sonia Kronlund, Élise Andrieu, Charlotte Bienaimé, Delphine Dhilly, Leila Djitli, Rémi Dybowski Douat, Sophie Knapp, Inès Léraud, Bahar Makooi, Pauline Maucort, Olivier Minot, Ilana Navaro, Delphine Saltel, Pascale Pascariello, Stéphanie Thomas, Valérie Borst, Léa Veinstein, Martine Abat, Adila Bennedjaï-Zou, Judith Chetrit, Léa Minod - Au cours de leur scolarité, une rencontre avec un enseignant a changé le cours de leur vie. Trois récits en Seine-Saint-Denis et Seine et Marne, par Émilie Chaudet et Pauline Maucort. - réalisation : Clémence Gross, Philippe Baudouin, Emmanuel Geoffroy, Cécile Laffon, François Caunac

Episode 92 - From Wall Street to Zen temples, Benjamin J. Butler maps the future by living it. From quantum vacuum to global impact, Sarah Amne pioneers resonance-driven innovation uniting physics, sustainability and wellbeing.Disclaimer: Please note that all information and content on the UK Health Radio Network, all its radio broadcasts and podcasts are provided by the authors, producers, presenters and companies themselves and is only intended as additional information to your general knowledge. As a service to our listeners/readers our programs/content are for general information and entertainment only.  The UK Health Radio Network does not recommend, endorse, or object to the views, products or topics expressed or discussed by show hosts or their guests, authors and interviewees.  We suggest you always consult with your own professional – personal, medical, financial or legal advisor. So please do not delay or disregard any professional – personal, medical, financial or legal advice received due to something you have heard or read on the UK Health Radio Network.

American George H. Kerr was the most important Western eyewitness and chronicler of the February 28 Incident of 1947, the violent uprising and brutal crackdown that shaped Taiwan's modern politics and identity. Kerr first lived in Taiwan in the late 1930s, when the island was a colony of Japan. During the war, he worked for the U.S. Navy as a Taiwan expert, and then from 1945 to 1947 served as the U.S. vice consul in Taipei. His account of Chinese Nationalist (KMT) misrule, Formosa Betrayed (1965), is arguably the most influential English-language book ever written about Taiwan. John chats with Kerr scholar Jonathan Benda about the book and the man behind it. Why did it take Kerr so long to publish his account? What does the “betrayed” in the title refer to? How did the book inspire Taiwanese democracy and independence activists? Drawing on new evidence, Benda explains it all and gives us a full picture of this complex man.

Durante séculos a Europa perseguiu quem fugisse dos seus parâmetros religiosos institucionais. Mas o que é verdade e o que é mito nessa história toda? Separe trinta minutos do seu dia e aprenda com o professor Vítor Soares (@profvitorsoares) sobre o que foi a Inquisição.-Se você quiser ter acesso a episódios exclusivos e quiser ajudar o História em Meia Hora a continuar de pé, clique no link: www.apoia.se/historiaemmeiahoraConheça o meu canal no YouTube e assista o História em Dez Minutos!https://www.youtube.com/@profvitorsoaresConheça meu outro canal: História e Cinema!https://www.youtube.com/@canalhistoriaecinemaOuça "Reinaldo Jaqueline", meu podcast de humor sobre cinema e TV:https://open.spotify.com/show/2MsTGRXkgN5k0gBBRDV4okCompre o livro "História em Meia Hora - Grandes Civilizações"!https://a.co/d/47ogz6QCompre meu primeiro livro-jogo de história do Brasil "O Porão":https://amzn.to/4a4HCO8PIX e contato: historiaemmeiahora@gmail.comApresentação: Prof. Vítor Soares.Roteiro: Prof. Vítor Soares e Prof. Victor Alexandre (@profvictoralexandre)REFERÊNCIAS USADAS:BENNASSAR, Bartolomé; BENNASSAR, Lucile. Inquisição Espanhola. Rio de Janeiro: Jorge Zahar, 1995.GINZBURG, Carlo. O queijo e os vermes: o cotidiano e as ideias de um moleiro perseguido pela Inquisição. São Paulo: Companhia das Letras, 2006.GINZBURG, Carlo. História noturna: decifrando o sabá. São Paulo: Companhia das Letras, 2012.LONGHURST, John Edward. The Age of Torquemada. New York: G. P. Putnam's Sons, 1962.MEGIANI, Ana Paula Torres. A Inquisição em pauta: processos e práticas sociais. São Paulo: Alameda, 2010.SARAIVA, António José. A Inquisição Portuguesa. Lisboa: Europa-América, 1985.SEED, Patricia. Cerimônias de posse na conquista europeia do Novo Mundo (1492–1640). São Paulo: Edusp, 1999.

Lee Kovarsky, an endowed chair professor at the University of Texas School of Law, speaks with Senior Editor Roger Parloff about patronage pardons, the subject of his forthcoming article in the Duke Law Journal.Patronage pardons are pardons a president issues to reward and possibly even induce criminality by political supporters. Kovarsky discusses whether the founders anticipated such pardons, gives examples of such pardons, explores how they differ from ordinary pardons, and ponders whether anything can be done to rein them in.To receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare. You can also support Lawfare by making a one-time donation at https://givebutter.com/lawfare-institute.Support this show http://supporter.acast.com/lawfare. Hosted on Acast. See acast.com/privacy for more information.

Scientific Sense ® by Gill Eapen: Prof. Raul Jimenez is Professor of Cosmology at the University of Barcelona. His research interests include the origin and evolution of the Universe and large-scale structure.Prof. Daniele Bertacca is Associate Professor of Physics and Astronomy at the University of Padova. His research addresses fundamental questions about the origin and evolution of cosmic structure. Please subscribe to this channel:https://www.youtube.com/c/ScientificSense?sub_confirmation=1

Worthaus 13 – Tübingen: 8. Juni 2025 von Prof. Dr. Kathy Ehrensperger.

İkili Görüş'te Dr. Bahadır Çelebi; konukları Dr. Reza Talebi, Prof. Dr. Evren Çelik Wiltse ve İlkan Dalkuç ile İran'dan Pakistan-Afganistan savaşına, Meksika'dan ABD ve Ukrayna'ya uzanan küresel siyaset gündeminin öne çıkan başlıklarını değerlendiriyor.00:00 Giriş01:45 İran, Haziran 2025'ten itibaren hasarlarını ne kadar giderebildi?18:50 İran'da son dönemdeki öldürümleri sayılar üzerinden anlamaya çalışmaktaki hata21:58 İsrail İran'la barış istemiyor / ABD'nin şartları=İsrail'in şartları35:40 İran meselesinde Arap ülkelerinin perspektifi39:00 Pakistan-Afganistan çatışmalarında hangi aşamadayız?51:10 Hocam hep olumsuz konuştunuz...54:20 Meksika çok büyük bir ülke (büyük başın büyük dertleri)55:50 İran Trump'ı bir şeylere ikna etmeyi deniyor ama savaş hala ciddi bir ihtimal59:30 Kolombiya düştü; yasaklı madde ticaretinde Meksika'ya gün doğdu01:06:50 Meksika, yasaklı madde ile mücadeleyi etkisiz yöntemle yapıyor (kartel ile çatışma)01:10:40 Jalisco kartelinin simgesi haline gelen araba yakmanın anlamı: insan ölümlendirmek maliyetli, araba çok ucuz01:12:40 Meksika'da polis teşkilatı merkeziyetçi değil, 31 eyaletin müstakil teşkilatı var01:16:40 Meksika'nın en büyük paydası: rüşvet/yolsuzluk01:17:50 Meksika neden çeteleri temizleyemiyor (birden fazla neden)01:23:00 ABD yasaklı madde sorununu kaynağında, Meksika'da çözmeye çalışıyor01:27:50 Meksika'daki kadar güçlü kartel yapısı Kolombiya, Peru, Bolivya'da yok. Çünkü...01:32:10 Hocam, bu Minnesota'daki ICE faaliyetleri ne durumda?01:36:20 Liderini ölümlendirmek karteli çökertmiyor; 7 başlı ejderhanın kafasını kesmek01:39:40 Elon Musk'ın problemi Trump'la değil J. D. Vance ile01:40:50 Karteller ABD kurumlarından bağımsız değil01:41:50 Latin Amerika uçsuz bucaksız bir coğrafya yani suç için cennet, cennet01:53:00 Güney Amerika'da olanlara ABD-Çin mücadelesi açısından bakmak01:55:00 Haritaya bakın: Güney Amerika'nın en küçük ülkesi bile İtalya kadar büyük02:01:50 Güney Amerika'da bir-iki ülke Türkiye'ye vize uyguluyor02:03:50 Meksika'nın kaynağı çok ama kullanmakta başarılı değil (devamında konu Fransa'dan Epstein'a çok çeşitlendi)02:06:00 Kuzey-Güney Amerika arasında keskin ayrımın olmadığı alanlar02:07:20 Beklemediğiniz bir Uruguay anlatısı02:09:20 Türkiye gibi deprem ülkesi olan ama yıkım ülkesi olmayanlar: Meksika, Şili02:11:40 Avrupa'dan Latin Amerika'ya, ABD'ye göçenlerin cinsiyeti, sosyoekonomisi, dini ve sonuçları02:17:30 Afganistan'da Taliban iktidarı kuruldu, biliyorsun. Ama şunları?02:21:30 Çin, Pakistan'ın Hindistan'a karşı vazgeçemediği bir müttefik02:26:40 Pakistan bir nükleer güç. Türkiye'ye bir faydası olur mu? (ABD onaylamadan olmaz)02:28:40 ABD-Çin hattında Pakistan kendini ortada konumladı02:38:20 Olası Pakistan iç savaşı, ABD'nin İran'a saldırmasından daha KÖTÜ sonuçlar üretir02:39:00 Saatler mi kaldı, alışmadığımız silahlarla mı olur bilmiyorum ama İran'a ABD müdahalesi yakınDaktilo1984'e daha fazla destek olmak için KATIL üyesi ol:https://www.youtube.com/channel/UCWyDy24AfZX8ZoHFjm6sJkg/joinBizi Patreon'dan Destekleyin

Gaan mannen anders met trauma's en emoties om en wat zegt dat over die paar mannen die nu aan de wereldtop staan? Trump en Musk hadden allebei geen gezellige vader. En ook Xi Jinping had geen gemakkelijke jeugd. Hoe werken de schrammen die je in je jeugd op je ziel hebt opgelopen door in je dagelijkse leven? Prof. dr. Christiaan Vinkers is psychiater en heeft net een boek geschreven getiteld 'Littekens uit je jeugd' waarin hij beschrijft hoe bepalend die jeugdtrauma's kunnen zijn.  De econoom prof. dr. Sweder van Wijnbergen zit ook aan tafel en luistert mee. 

2 American Universities talk over the Hard Questions … GUEST Dr Tim Muehlhoff ... Prof of Communication at Biola Univ & Sr Director of the Winsome Conviction Project ... author of “Winsome Conviction: Disagreeing Without Dividing the Church,” (winner of the Award of Merit in CT’s Best Books of 2022) … and “Winsome Persuasion: Christian Influence in a Post-Christian World". GUEST Mischa Willett … author of "The Elegy Beta," and "Phases" ... His poems, essays, translations, and academic articles appear widely ... He teaches at Arizona Christian University.... Follow his work at mischawillett.comSee omnystudio.com/listener for privacy information.

Most of us never question how we breathe. Yet many of us over-breathe or mouth-breathe without realising it. In this episode, investigative journalist and international bestselling author James Nestor shares four breathing techniques to retrain your nervous system and support better health. This episode is for anyone who feels stressed, snores, wakes up tired, or wants a simple way to improve their health. James, who has spent over a decade researching breathing science with leading respiratory experts, guides us through daily breathing habits to help calm your body, improve oxygen efficiency, and support long-term wellbeing. We explore why nasal breathing is more efficient, how slow breathing can influence the nervous system, and how modern lifestyles may have reshaped our airways.  If breathing is something you do 20,000 times a day, what might change if you retrained it?

Hour 1 for 2/26/26 Drew and Brian Gibson discuss the State of the Unborn in the US (3:42). Callers share their thoughts on the pro-life movement: Time to move on to Vance (8:52), I'm a pro-life Democrat (12:33), Sec. Marco Rubio (15:04), becoming more religious (16:31), I am a pro-life voter (18:10). Then, Prof. William Robert Wagner covers visitation rights between grandkids and grandparents (25:00). Topics/Calls: the death of parents (31:33), sister refuses to let my mom see the children (33:49), daughter-in-law keeping grandkids from me (39:23), and getting laws changed (44:01). Links: https://plam.org/sidewalk-counseling-reflections/ https://www.bostonglobe.com/2026/02/22/metro/ri-grandparents-rights-visitation-laws/

Astrophysicist Robert Fosbury joins Dr Max Gulhane to explore an extraordinary idea: that the dominant photon energy of our Sun closely matches the metabolic activation energy that powers life on Earth.We discuss:• How stars generate order by exporting entropy as light• Why living systems mirror stellar thermodynamics• The 0.66 electron volt “control barrier” shared across biology• The 10²¹ scaling relationship between solar photons and electron transport chains• How near-infrared light influences mitochondrial function• Why indoor environments are metabolically different from natural light environments• The quantum biology of water, tunneling, and photometabolismRobert Fosbury is an honorary professor at University College London and Emeritus Astronomer at the European Southern Observatory. He has applied his astrophysics background to matters of light & biology interaction with fascinating insights and perspectives.PODCAST SPONSORS

Swyx joined SAIL! Thank you SAIL Media, Prof. Tom Yeh, 8Lee, Hamid Bagheri, c9n, and many others for tuning into SAIL Live #6 with Nathan Lambert and Sebastian Raschka, PhD. Sharing here for the LS paid subscribers.We covered: This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.latent.space/subscribe

Alev Doğan präsentiert das Pioneer Briefing.

Order of Service: - Prelude - Hymn 281 - O Love, How Deep, How High, How Broad: vv. 1 - 4 - Mark 14:26-31: Then Jesus said to them, “All of you will be made to stumble because of Me this night, for it is written: ‘I will strike the Shepherd, and the sheep will be scattered.' “But after I have been raised, I will go before you to Galilee.” Peter said to Him, “Even if all are made to stumble, yet I will not be.” Jesus said to him, “Assuredly, I say to you that today, even this night, before the rooster crows twice, you will deny Me three times.” But he spoke more vehemently, “If I have to die with You, I will not deny You!” - Devotion - Prayer - Hymn 281 - O Love, How Deep, How High, How Broad: vv. 5, 6, 7 - Blessing - Postlude Service Participants: Chaplain Don Moldstad (Preacher), Rev. Prof. Dennis Marzolf (Pianist)

Powering the Future with India's Ancient WisdomProf Ganti Suryanarayana Murthy is the National Coordinator of the Indian Knowledge Systems (IKS) Division, Ministry of Education, Government of India, at AICTE, New Delhi. He also serves as Professor in the Department of Biosciences and Biomedical Engineering at IIT Indore.He was among the distinguished guest speakers at the 2nd Global Vedic Conference held at Prasanthi Nilayam in January 2026, where he offered valuable insights from the integrated perspective of Indian Knowledge Systems, contemporary science, and education.Subsequently, during his interaction at the Sri Sathya Sai Media Centre, he eloquently expounded on the relevance, revival, and renaissance of ancient India's sacred knowledge traditions, highlighting their enduring significance in the modern world.

Der deutsche Bundeskanzler hat zwei Tage lang China besucht. Worum ging es bei dieser Reise und wie steht es um die deutsch-chinesischen Beziehungen? Darüber spricht Christoph Polajner von der Eurasien-Gesellschaft. Seit Jahresbeginn gibt es in Deutschland wieder eine Kaufprämie für E-Autos. Wird sie die E-Mobilität voranbringen oder kostet sie nur Steuergeld? Darum geht es im Gespräch mit dem Volkswirt Prof. Ulrich van Suntum. Die schwarz-rote Regierungskoalition in Berlin sprudelt derzeit regelrecht vor neuen Ideen. Zum Beispiel sollen nun Asylbewerber plötzlich doch arbeiten dürfen. Hören Sie dazu den Kommentar von Prof. Norbert Bolz. Über die Reform des Habeckschen Heizungsgesetzes reden wir mit dem Publizisten und Politik-Beobachter Klaus-Rüdiger Mai.

Prof. Laura McGrath returns to talk with Jeff and Rebecca about statistics that show just how much readers read what they are. Mostly. For some readers. Most readers. But not all. It's complicated. Follow the podcast via RSS, Apple Podcasts, and Spotify. Join The Book Riot Podcast Patreon for bonus content and ad-free listening. Subscribe to The Book Riot Newsletter for regular updates to get the most out of your reading life. The Book Riot Podcast is a proud member of the Airwave Podcast Network. Learn more about your ad choices. Visit megaphone.fm/adchoices

Prof. Jeffrey Sachs : Negotiation or Escalation? Trump's Iran CrossroadsSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

PROF. Mohammad Marandi joins Kyle live from Moscow. His Internet connection is a little sketchy but the audio is fine. Be sure to comment to help us with the YT algorithm. What if the real battlefield isn't a border but a bottleneck? We sit down with Professor Mohammad Marandi to examine how Iran calculates risk, leverage, and legitimacy across a map defined as much by energy corridors as by military bases. From the broken promises of the JCPOA to the aftershocks of a 12-day war, we trace why Tehran insists on a narrow negotiating lane—nuclear assurances only—while locking every other door. Marandi argues that missiles, drones, and regional alliances won't be traded for sanctions relief, pointing to lessons from Syria and recent clashes that, in Iran's view, validated conventional deterrence. He walks through why trust collapsed: inconsistent U.S. compliance, shifting goalposts, and the absence of automatic penalties when commitments are breached. The proposed fix is mechanical rather than symbolic—snap, balanced consequences for violations that make cheating too costly. Alongside this, we explore Iran's stated religious and strategic opposition to nuclear weapons, paired with an explicit caveat about existential threats that functions as deterrence without overt weaponization. The most provocative claim centers on geography and economics. Iran's core deterrent, he says, is aimed at the Persian Gulf, not Israel: dense, vulnerable infrastructure, U.S. bases within range, and shipping lanes that tie oil and gas to global stability. A major war would rupture supply chains, spike markets, and outpace neat military outcomes. That logic, combined with a domestic pivot toward BRICS and the SCO, sets the political price for any new deal. Expect discussions to focus on recognition of enrichment rights, rigorous but bounded inspections, and automatic reciprocity for noncompliance—nothing more on missiles or allies. We close by testing media narratives of Iranian fragility against mass mobilizations at home and a wider global mood swing on Israel-Palestine. Agree or challenge these assessments, the takeaway is the same: any agreement that lasts must align with how power, risk, and credibility are actually distributed on the ground and at sea. If this conversation sharpened your view, follow the show, share it with a friend, and leave a review with the one clause you believe any durable deal must include.

In this episode, we're joined by Prof. Andrew Crislip, who is Blake Chair in the History of Christianity at Virginia Commonwealth University, and the author of Emotion in Early Christianity (published by Eerdmans). In our conversation, Prof. Crislip talks with us about what emotions really are, what early Christians thought about five key emotions, and how that thinking evolved within the first five centuries of the church. Team members on the episode from The Two Cities include: the Rev. Dr. Nathaniel Adishian and Dr. John Anthony Dunne. Hosted on Acast. See acast.com/privacy for more information.

In this listener response episode, Professor Julian Wamble returns to Nymphadora Tonks to engage the CMT community on the most compelling reactions to the original episode. Listeners weigh in on four major themes: whether Tonks embodies the Hufflepuff ideal, what the Hogwarts Express scene reveals about how the text treats her competence and grief, the Lupin relationship as a case study in identity erosion and the "I can fix him" dynamic, and the deeply divided question of whether Tonks was a good mother.The episode closes with Prof. Wamble reconsidering his original argument about heroism and professional duty are mutually exclusive. The case that emerges reframes not just how we read her death, but how we read her life.

In the wake of Obama's on-air revelation that he believes in aliens and Trump's move to declassify government UFO documents, UnHerd invites two world experts to make the best case for hope and doubt about extraterrestrial life. Michael Shermer, Skeptic magazine founder and author of the new book Truth (https://www.amazon.co.uk/Truth-What-Find-Still-Matters/dp/142145372X), and Harvard astronomer Prof. Avi Loeb ask: are we alone in the universe? Hosted on Acast. See acast.com/privacy for more information.

Editor's note: CuspAI raised a $100m Series A in September and is rumored to have reached a unicorn valuation. They have all-star advisors from Geoff Hinton to Yann Lecun and team of deep domain experts to tackle this next frontier in AI applications.In this episode, Max Welling traces the thread connecting quantum gravity, equivariant neural networks, diffusion models, and climate-focused materials discovery (yes, there is one!!!).We begin with a provocative framing: experiments as computation. Welling describes the idea of a “physics processing unit”—a world in which digital models and physical experiments work together, with nature itself acting as a kind of processor. It's a grounded but ambitious vision of AI for science: not replacing chemists, but accelerating them.Along the way, we discuss:* Why symmetry and equivariance matter in deep learning* The tradeoff between scale and inductive bias* The deep mathematical links between diffusion models and stochastic thermodynamics* Why materials—not software—may be the real bottleneck for AI and the energy transition* What it actually takes to build an AI-driven materials platformMax reflects on moving from curiosity-driven theoretical physics (including work with Gerard ‘t Hooft) toward impact-driven research in climate and energy. The result is a conversation about convergence: physics and machine learning, digital models and laboratory experiments, long-term ambition and incremental progress.Full Video EpisodeTimestamps* 00:00:00 – The Physics Processing Unit (PPU): Nature as the Ultimate Computer* Max introduces the idea of a Physics Processing Unit — using real-world experiments as computation.* 00:00:44 – From Quantum Gravity to AI for Materials* Brandon frames Max's career arc: VAE pioneer → equivariant GNNs → materials startup founder.* 00:01:34 – Curiosity vs Impact: How His Motivation Evolved* Max explains the shift from pure theoretical curiosity to climate-driven impact.* 00:02:43 – Why CaspAI Exists: Technology as Climate Strategy* Politics struggles; technology scales. Why materials innovation became the focus.* 00:03:39 – The Thread: Physics → Symmetry → Machine Learning* How gauge symmetry, group theory, and relativity informed equivariant neural networks.* 00:06:52 – AI for Science Is Exploding (Not Emerging)* The funding surge and why AI-for-Science feels like a new industrial era.* 00:07:53 – Why Now? The Two Catalysts Behind AI for Science* Protein folding, ML force fields, and the tipping point moment.* 00:10:12 – How Engineers Can Enter AI for Science* Practical pathways: curriculum, workshops, cross-disciplinary training.* 00:11:28 – Why Materials Matter More Than Software* The argument that everything—LLMs included—rests on materials innovation.* 00:13:02 – Materials as a Search Engine* The vision: automated exploration of chemical space like querying Google.* 01:14:48 – Inside CuspAI: The Platform Architecture* Generative models + multi-scale digital twin + experiment loop.* 00:21:17 – Automating Chemistry: Human-in-the-Loop First* Start manual → modular tools → agents → increasing autonomy.* 00:25:04 – Moonshots vs Incremental Wins* Balancing lighthouse materials with paid partnerships.* 00:26:22 – Why Breakthroughs Will Still Require Humans* Automation is vertical-specific and iterative.* 00:29:01 – What Is Equivariance (In Plain English)?* Symmetry in neural networks explained with the bottle example.* 00:30:01 – Why Not Just Use Data Augmentation?* The optimization trade-off between inductive bias and data scale.* 00:31:55 – Generative AI Meets Stochastic Thermodynamics* His upcoming book and the unification of diffusion models and physics.* 00:33:44 – When the Book Drops (ICLR?)TranscriptMax: I want to think of it as what I would call a physics processing unit, like a PPU, right? Which is you have digital processing units and then you have physics processing units. So it's basically nature doing computations for you. It's the fastest computer known, as possible even. It's a bit hard to program because you have to do all these experiments. Those are quite bulky, it's like a very large thing you have to do. But in a way it is a computation and that's the way I want to see it. You can do computations in a data center and then you can ask nature to do some computations. Your interface with nature is a bit more complicated. But then these things will have to seamlessly work together to get to a new material that you're interested in.[01:00:44:14 - 01:01:34:08]Brandon: Yeah, it's a pleasure to have Max Woehling as a guest today. Max has done so much over his career that I've been so excited about. If you're in the deep learning community, you probably know Max for his work on variational autocoders, which has literally stood the test of prime or officially stood the test of prime. If you are a scientist, you probably know him for his like, binary work on graph neural networks on equivariance. And if you're a material science, you probably know him about his new startup, CASPAI. Max has a long history doing lots of cool problems. You started in quantum gravity, which is I think very different than all of these other things you worked on. The first question for AI engineers and for scientists, what is the thread in how you think about problems? What is the thread in the type of things which excite you? And how do you decide what is the next big thing you want to work on?[01:01:34:08 - 01:02:41:13]Max: So it has actually evolved a lot. In my young days, let's breathe, I would just follow what I would find super interesting. I have kind of this sensor. I think many people have, but maybe not really sort of use very much, which is like, you get this feeling about getting very excited about some problem. Like it could be, what's inside of a black hole or what's at the boundary of the universe or what are quantum mechanics actually all about. And so I follow that basically throughout my career. But I have to say that as you get older, this changes a little bit in the sense that there's a new dimension coming to it and there's this impact. Going in two-dimensional quantum gravity, you pretty much guaranteed there's going to be no impact on what you do relative, maybe a few papers, but not in this world, this energy scale. As I get closer to retirement, which is fortunately still 10 years away or so, I do want to kind of make a positive impact in the world. And I got pretty worried about climate change.[01:02:43:15 - 01:03:19:11]Max: I think politics seems to have a hard time solving it, especially these days. And so I thought better work on it from the technology side. And that's why we started CaspAI. But there's also a lot of really interesting science problems in material science. And so it's kind of combining both the impact you can make with it as well as the interesting science. So it's sort of these two dimensions, like working on things which you feel there's like, well, there's something very deep going on here. And on the other hand, trying to build tools that can actually make a real impact in the world.[01:03:19:11 - 01:03:39:23]RJ: So the thread that when I look back, look at the different things that you worked out, some of them seem pretty connected, like the physics to equivariance and, yeah, and, uh, gravitational networks, maybe. And that seems to be somewhat related to Casp. Do you have a thread through there?[01:03:39:23 - 01:06:52:16]Max: Yeah. So physics is the thread. So having done, you know, spent a lot of time in theoretical physics, I think there is first very fundamental and exciting questions, like things that haven't actually been figured out in quantum gravity. So that is really the frontier. There's also a lot of mathematical tools that you can use, right? In, for instance, in particle physics, but also in general relativity, sort of symmetry space to play an enormously important role. And this goes all the way to gauge symmetries as well. And so applying these kinds of symmetries to, uh, machine learning was actually, you know, I thought of it as a very deep and interesting mathematical problem. I did this with Taco Cohen and Taco was the main driver behind this, went all the way from just simple, like rotational symmetries all the way to gauge symmetries on spheres and stuff like that. So, and, uh, Maurice Weiler, who's also here, um, when he was a PhD student, he was a very good student with me, you know, he wrote an entire book, which I can really recommend about the role of symmetries in AI and machine learning. So I find this a very deep and interesting problem. So more recently, so I've taken a sort of different path, which is the relationship between diffusion models and that field called stochastic thermodynamics. This is basically the thermodynamics, which is a theory of equilibrium. So but then formulated for out of equilibrium systems. And it turns out that the mathematics that we use for diffusion models, but even for reinforcement learning for Schrodinger bridges for MCMC sampling has the same mathematics as this theoretical, this physical theory of non-equilibrium systems. And that got me very excited. And actually, uh, when I taught a course in, um, Mauschenberg, uh, it is South Africa, close to Cape Town at the African Institute for Mathematical Sciences Ames. And I turned that into a book site. Two years later, the book was finished. I've sent it to the publisher. And this is about the deep relationship between free energy, diffusion models, basically generative AI and stochastic thermodynamics. So it's always some kind of, I don't know, I find physics very deep. I also think a lot about quantum mechanics and it's, it's, it's a completely weird theory that actually nobody really understands. And there's a very interesting story, which is maybe good to tell to connect sort of my PZ back to where I'm now. So I did my PZ with a Nobel Laureate, Gerard the toft. He says the most brilliant man I've ever met. He was never wrong about anything as long as I've seen him. And now he says quantum mechanics is wrong and he has a new theory of quantum mechanics. Nobody understands what he's saying, even though what he's writing down is not mathematically very complex, but he's trying to address this understandability, let's say of quantum mechanics head on. And I find it very courageous and I'm completely fascinated by it. So I'm also trying to think about, okay, can I actually understand quantum mechanics in a more mundane way? So that, you know, without all the weird multiverses and collapses and stuff like that. So the physics is always been the threat and I'm trying to apply the physics to the machine learning to build better algorithms.[01:06:52:16 - 01:07:05:15]Brandon: You are still very involved in understanding and understanding physics and the worlds. Yeah. And just like applications to machine learning or introducing no formalisms. That's really cool.[01:07:05:15 - 01:07:18:02]Max: Yes, I would say I'm not contributing much to physics, but I'm contributing to the interface between physics and science. And that's called AI for science or science or AI is kind of a super, it's actually a new discipline that's emerging.[01:07:18:02 - 01:07:18:19]Speaker 5: Yeah.[01:07:18:19 - 01:07:45:14]Max: And it's not just emerging, it's exploding, I would say. That's the better term because I know you go from investments into like in the hundreds of millions now in the billions. So there's now actually a startup by Jeff Bezos that is at 6.2 billion sheep round. Right. Insane. I guess it's the largest startup ever, I think. And that's in this field, AI for science. It tells you something that we are creating a new bubble here.[01:07:46:15 - 01:07:53:28]Brandon: So why do you think it is? What has changed that has motivated people to start working on AI for science type problems?[01:07:53:28 - 01:08:49:17]Max: So there's two reasons actually. One is that people have been applying sort of the new tools from AI to the sciences, which is quite natural. And there's of course, I think there's two big examples, protein folding is a big one. And the other one is machine learning forest fields or something called machine learning inter-atomic potentials. Both of them have been actually very successful. Both also had something to do with symmetries, which is a little cool. And sort of people in the AI sciences saw an opportunity to apply the tools that they had developed beyond advertised placement, right, or multimedia applications into something that could actually make a very positive impact in society like health, drug development, materials for the energy transition, carbon capture. These are all really cool, impactful applications.[01:08:50:19 - 01:09:42:14]Max: Despite that, the science and the kind of the is also very interesting. I would say the fact that these sort of these two fields are coming together and that we're now at the point that we can actually model these things effectively and move the needle on some of these sort of science sort of methodologies is also a very unique moment, I would say. People recognize that, okay, now we're at the cusp of something new, where it results whether the company is called after. We're at the cusp of something new. And of course that always creates a lot of energy. It's like, okay, there's something, it's like sort of virgin field. It's like nobody's green field. Nobody's been there. I can rush in and I can sort of start harvesting there, right? And I think that's also what's causing a lot of sort of enthusiasm in the fields.[01:09:42:14 - 01:10:12:18]RJ: If you're an AI engineer, basically if the people that listen to this podcast will be in the field, then you maybe don't have a strong science background. How does, but are excited. Most I would say most AI practitioners, BM engineers or scientists would consider themselves scientists and they have some background, a little bit of physics, a little bit of industry college, maybe even graduate school that have been working or are starting out. How does somebody who is not a scientist on a day-to-day basis, how do they get involved?[01:10:12:18 - 01:10:14:28]Max: Well, they can read my book once it's out.[01:10:16:07 - 01:11:05:24]Max: This is basically saying that there is more, we should create curricula that are on this interface. So I'm not sure there is, also we already have some universities actual courses you can take, maybe online courses you can take. These workshops where we are now are actually very good as well. And we should probably have more tutorials before the workshop starts. Actually we've, I've kind of proposed this at some point. It's like maybe first have an hour of a tutorial so that people can get new into the field. There's a lot out there. Most of it is of course inaccessible, but I would say we will create much more books and other contents that is more accessible, including this podcast I would say. So I think it will come. And these days you can watch videos and things. There's a huge amount of content you can go and see.[01:11:05:24 - 01:11:28:28]Brandon: So maybe a follow-up to that. How do people learn and get involved? But why should they get involved? I mean, we have a lot of people who are of our audience will be interested in AI engineering, but they may be looking for bigger impacts in the world. What opportunities does AI for science provide them to make an impact to change the world? That working in this the world of pure bits would not.[01:11:28:28 - 01:11:40:06]Max: So my view is that underlying almost everything is immaterial. So we are focusing a lot on LLMs now, which is kind of the software layer.[01:11:41:06 - 01:11:56:05]Max: I would say if you think very hard, underlying everything is immaterial. So underlying an LLM is a GPU, and underlying a GPU is a wafer on which we will have to deposit materials. Do we want to wait a little bit?[01:12:02:25 - 01:12:11:06]Max: Underlying everything is immaterial. So I was saying, you know, there's the LLM underlying the LLM is a GPU on which it runs. In order to make that GPU,[01:12:12:08 - 01:12:43:20]Max: you have to put materials down on a wafer and sort of shine on it with sort of EUV light in order to etch kind of the structures in. But that's now an actual material problem, because more or less we've reached the limits of scaling things down. And now we are trying to improve further by new materials. So that's a fundamental materials problem. We need to get through the energy transition fast if we don't want to kind of mess up this world. And so there is, for instance, batteries. That's a complete materials problem. There's fuel cells.[01:12:44:23 - 01:13:01:16]Max: There is solar panels. So that they can now make solar panels with new perovskite layers on top of the silicon layers that can capture, you know, theoretically up to 50% of the light, where now we're at, I don't know, maybe 22 or something. So these are huge changes all by material innovation.[01:13:02:21 - 01:13:47:15]Max: And yeah, I think wherever you go, you know, I can probably dig deep enough and then tell you, well, actually, the very foundation of what you're doing is a material problem. And so I think it's just very nice to work on this very, very foundation. And also because I think this is maybe also something that's happening now is we can start to search through this material space. This has never been the case, right? It's like scientists, the normal way of working is you read papers and then you come up with no hypothesis. You do an experiment and you learn, et cetera. So that's a very slow process. Now we can treat this as a search engine. Like we search the internet, we now search the space of all possible molecules, not just the ones that people have made or that they're in the universe, but all of them.[01:13:48:21 - 01:14:42:01]Max: And we can make this kind of fully automated. That's the hope, right? We can just type, it becomes a tool where you type what you want and something starts spinning and some experiments get going. And then, you know, outcome list of materials and then you look at it and say, maybe not. And then you refine your query a little bit. And you kind of do research with this search engine where a huge amount of computation and experimentation is happening, you know, somewhere far away in some lab or some data center or something like this. I find this a very, very promising view of how we can sort of build a much better sort of materials layer underneath almost everything. And also more sustainable materials. Our plastics are polluting the planet. If you come up with a plastic that kind of destroys itself, you know, after, I don't a few weeks, right? And actually becomes a fertilizer. These are things that are not impossible at all. These things can be done, right? And we should do it.[01:14:42:01 - 01:14:47:23]RJ: Can you tell us a little bit just generally about CUSBI and then I have a ton of questions.[01:14:47:23 - 01:14:48:15]Speaker 5: Yeah.[01:14:48:15 - 01:17:49:10]Max: So CUSBI started about 20 months ago and it was because I was worried about I'm still worried about climate change. And so I realized that in order to get, you know, to stay within two degrees, let's say, we would not only have to reduce our emissions to zero by 2050, but then, you know, another half century or even a century of removing carbon dioxide from the atmosphere, not by reducing your emissions, but actually removing it at a rate that's about half the rate that we now emit it. And that is a unsolved problem. But if we don't solve it, two degrees is not going to happen, right? It's going to be much more. And I don't think people quite understand how bad that can be, like four degrees, like very bad. So this technology needs to be developed. And so this was my and my co-founder, Chet Edwards, motivation to start this startup. And also because, you know, we saw the technology was ready, which is also very good. So if you're, you know, the time is right to do it. And yeah, so we now in the meanwhile, we've grown to about 40 people. We've kind of collected 130 million investment into the company, which is for a European company is quite a lot. I would say it's interesting that right after that, you know, other startups got even more. So that's kind of tells you how fast this is growing. But yeah, we are we are now at the we've built the platform, of course, but it's for a series of material classes and it needs to be constantly expanded to new material classes. And it can be more automated because, you know, we know putting LLMs in as the whole thing gets more and more automated. And now we're moving to sort of high throughput experimentation. So connecting the actual platform, which is computational, to the experiments so that you can get also get fast feedback from experiments. And I kind of think of experiments as something you do at the end, although that's what we've been doing so far. I want to think of it as what I would call a sort of a physics processing unit, like a PPU, right, which is you have digital processing units and then you have physics processing units. So it's basically nature doing computations for you. It's the fastest computer known as possible, even. It's a bit hard to program because you have to do all these experiments. Those are quite, quite bulky. It's like a very large thing you have to do. But in a way, it is a computation. And that's the way I want to see it. So I want to you can do computations in a data center and then you can ask nature to do some computations. Your interface with nature is a bit more complicated. But then these things will have to seamlessly work together to get to a new material that you're interested in. And that's the vision we have. We don't say super intelligence because I don't quite know what it means and I don't want to oversell it. But I do want to automate this process and give a very powerful tool in the hands of the chemists and the material scientists.[01:17:49:10 - 01:18:01:02]Brandon: That actually brings up a question I wanted to ask you. First of all, can you talk about your platform to like whatever degree, like explain kind of how it works and like what you your thought processes was in developing it?[01:18:01:02 - 01:20:47:22]Max: Yeah, I think it's been surprisingly, it's not rocket science, I would say. It's not rocket science in the sense of the design and basically the design that, you know, I wrote down at the very beginning. It's still more or less the design, although you add things like I wasn't thinking very much about multi-scale models and as the common are rated that actually multi-scale is very important. And the beginning, I wasn't thinking very much about self-driving labs. But now I think, you know, we are now at the stage we should be adding that. And so there is sort of bits and details that we're adding. But more or less, it's what you see in the slide decks here as well, which is there is a generative component that you have to train to generate candidates. And then there is a digital twin, multi-scale, multi-fidelity digital twin, which you walk through the steps of the ladder, you know, they do the cheap things first, you weed out everything that's obviously unuseful, and then you go to more and more expensive things later. And so you narrow things down to a small number. Those go into an experiment, you know, do the experiment, get feedback, etc. Now, things that also have been more recently added is sort of more agentic sort of parts. You know, we have agents that search the literature and come up with, you know, actually the chemical literature and come up with, you know, chemical suggestions for doing experiments. We have agents which sort of autonomously orchestrate all of the computations and the experiments that need to be done. You know, they're in various stages of maturity and they can be continuously improved, I would say. And so that's basically I don't think that part. There's rocket science, but, you know, the design of that thing is not like surprising. What is it's surprising hard to actually build it. Right. So that's that's the thing that is where the moat is in the data that you can get your hands on and the and actually building the platform. And I would say there's two people in particular I want to call out, which is Felix Hunker, who is actually, you know, building the scientific part of the platform and Sandra de Maria, who is building the sort of the skate that is kind of this the MLOps part of the platform. Yeah. And so and recently we also added sort of Aaron Walsh to our team, who is a very accomplished scientist from Imperial College. We're very happy about that. He's going to be a chief science officer. And we also have a partnerships team that sort of seeks out all the customers because I think this is one thing I find very important. In print, it's so complex to do to actually bring a material to the real world that you must do this, you know, in collaboration with sort of the domain experts, which are the companies typically. So we always we only start to invest in the direction if we find a good industrial partner to go on that journey with us.[01:20:47:22 - 01:20:55:12]Brandon: Makes a lot of sense. Over the evolution of the platform, did you find that you that human intervention, human,[01:20:56:18 - 01:21:17:01]Brandon: I guess you could start out with a pure, you could imagine two directions when you start up making everything purely automatic, automated, agentic, so on. And then later on, you like find that you need to have more human input and feedback different steps. Or maybe did you start out with having human feedback? You have lots of steps and then like kind of, yeah, figure out ways to remove, you know,[01:21:17:01 - 01:22:39:18]Max: that is the second one. So you build tools for you. So it's much more modular than you think. But it's like, we need these tools for this application. We need these tools. So you build all these tools, and then you go through a workflow actually in the beginning just manually. So you put them in a first this tool, then run this to them or this with sithery. So you put them in a workflow and then you figure out, oh, actually, you know, this this porous material that we are trying to make actually collapses if you shake it a bit. Okay, then you add a new tool that says test for stability. Right. Yeah. And so there's more and more tools. And then you build the agent, which could be a Bayesian optimizer, or it could be an actual other them, you know, maybe trained to be a good chemist that will then start to use all these tools in the right way in the right order. Yeah. Right. But in the beginning, it's like you as a chemist are putting the workflow together. And then you think about, okay, how am I going to automate this? Right. For one very easy question you can ask yourself is, you know, every time somebody who is not a super expert in DFT, yeah, and he wants to do a calculation has to go to somebody who knows DFT. And so could you start to automate that away, which is like, okay, make it so user friendly, so that you actually do the right DFT for the right problem and for the right length of time, and you can actually assess whether it's a good outcome, etc. So you start to automate smaller small pieces and bigger pieces, etc. And in the end, the whole thing is automated.[01:22:39:18 - 01:22:53:25]Brandon: So your philosophy is you want to provide a set of specific tools that make it so that the scientists making decisions are better informed and less so trying to create an automated process.[01:22:53:25 - 01:23:22:01]Max: I think it's this is sort of the same where you're saying because, yes, we want to automate, yeah, but we don't see something very soon where the chemists and the domain expert is out of the loop. Yeah, but it but it's a retreat, right? It's like, okay, so first, you need an expert to tell you precisely how to set the parameters of the DFT calculation. Okay, maybe we can take that out. We can maybe automate that, right? And so increasingly, more of these things are going to be removed.[01:23:22:01 - 01:23:22:19]Speaker 5: Yeah.[01:23:22:19 - 01:24:33:25]Max: In the end, the vision is it will be a search engine where you where somebody, a chemist will type things and we'll get candidates, but the chemist will still decide what is a good material and what is not a good material out of that list, right? And so the vision of a completely dark lab, where you can close the door and you just say, just, you know, find something interesting and then it will it will just figure out what's interesting and we'll figure out, you know, it's like, oh, I found this new material to blah, blah, blah, blah, right? That's not the vision I have. He's not for, you know, a long time. So for me, it's really empowering the domain experts that are sitting in the companies and in universities to be much faster in developing their materials. And I should say, it's also good to be a little humble at times, because it is very complicated, you know, to bring it to make it and to bring it into the real world. And there are people that are doing this for the entire lives. Yeah. Right. And it's like, I wonder if they scratch their head and say, well, you know, how are you going to completely automate that away, like in the next five years? I don't think that's going to happen at all.[01:24:35:01 - 01:24:39:24]Max: Yeah. So to me, it's an increasingly powerful tool in the hands of the chemists.[01:24:39:24 - 01:25:04:02]RJ: I have a question. You've talked before about getting people interested based on having, you know, sort of a big breakthrough in materials, incremental change. I'm curious what you think about the platform you have now in are sort of stepping towards and how are you chasing the big change or is this like incremental or is there they're not mutually exclusive, obviously, but what do you think about that?[01:25:04:02 - 01:26:04:27]Max: We follow a mixed strategy. So we are definitely going after a big material. Again, we do this with a partner. I'm not going to disclose precisely what it is, but we have our own kind of long term goal. You could call it lighthouse or, you know, sort of moonshot or whatever, but it is going to be a really impactful material that we want to develop as a proof point that it can be done and that it will make it into the into the real world and that AI was essential in actually making it happen. At the same time, we also are quite happy to work with companies that have more modest goals. Like I would say one is a very deep partnership where you go on a journey with a company and that's a long term commitment together. And the other one is like somebody says, I knew I need a force field. Can you help me train this force field and then maybe analyze this particular problem for me? And I'll pay you a bunch of money for that. And then maybe after that we'll see. And that's fine too. Right. But we prefer, you know, the deep partnerships where we can really change something for the good.[01:26:04:27 - 01:26:22:02]RJ: Yeah. And do you feel like from a platform standpoint you're ready for that or what are the things that and again, not asking you to disclose proprietary secret sauce, but what are the things generally speaking that need to happen from where we are to where to get those big breakthroughs?[01:26:22:02 - 01:28:40:01]Max: What I find interesting about this field is that every time you build something, it's actually immediately useful. Right. And so unlike quantum computing, which or nuclear fusion, so you work for 20, 30, 40 years and nothing, nothing, nothing, nothing. And then it has to happen. Right. And when it happens, it's huge. So it's quite different here because every time you introduce, so you go to a customer and you say, so what do you need? Right. So we work, let's say, on a problem like a water filtration. We want to remove PFAS from water. Right. So we do this with a company, Camira. So they are a deep partner for us. Right. So we on a journey together. I think that the breakthrough will happen with a lot of human in the loop because there is the chemists who have a whole lot more knowledge of their field and it's us who will help them with training, having a new message. And in that kind of interface, these interactions, something beautiful will happen and that will have to happen first before this field will really take off, I think. And so in the sense that it's not a bubble, let's put it that way. So that's people see that as actual real what's happening. So in the beginning, it will be very, you know, with a lot of humans in the loop, I would say, and I would I would hope we will have this new sort of breakthrough material before, you know, everything is completely automated because that will take a while. And also it is very vertical specific. So it's like completely automating something for problem A, you know, you can probably achieve it, but then you'll sort of have to start over again for problem B because, you know, your experimental setup looks very different in the machines that you characterize your materials look very different. Even the models in your platform will have to be retrained and fine tuned to the new class. So every time, you know, you have a lot of learnings to transfer, but also, you know, the problems are actually different. And so, yes, I would want that breakthrough material before it's completely automated, which I think is kind of a long term vision. And I would say every time you move to something new, you'll have to start retraining and humans will have to come in again and say, okay, so what does this problem look like? And now sort of, you know, point the the machine again, you know, in the new direction and then and then use it again.[01:28:40:01 - 01:28:47:17]RJ: For the non-scientists among us, me included a bit of a scientist. There's a lot of terminology. You mentioned DFT,[01:28:49:00 - 01:29:01:11]RJ: you equivariance we've talked about. Can you sort of explain in engineering terms or the level of sophistication and engineering? Well, how what is equivariance?[01:29:01:11 - 01:29:55:01]Max: So equivariance is the infusion of symmetry in neural networks. So if I build a neural network, let's say that needs to recognize this bottle, right, and then I rotate the bottle, it will then actually have to completely start again because it has no idea that the rotated bottle. Well, actually, the input that represents a rotated bottle is actually rotated bottle. It just doesn't understand that. Right. If you build equivariance in basically once you've trained it in one orientation, it will understand it in any other orientation. So that means you need a lot less data to train these models. And these are constraints on the weights of the model. So so basically you have to constrain the way such data to understand it. And you can build it in, you can hard code it in. And yeah, this the symmetry groups can be, you know, translations, rotations, but also permutations. I can graph neural network, their permutations and then physics, of course, as many more of these groups.[01:29:55:01 - 01:30:01:08]RJ: To pray devil's advocate, why not just use data augmentation by your bottle is in all the different orientations?[01:30:01:08 - 01:30:58:23]Max: As an option, it's just not exact. It's like, why would you go through the work of doing all that? Where you would really need an infinite number of augmentations to get it completely right. Where you can also hard code it in. Now, I have to say sometimes actually data augmentation works even better than hard coding the equivariance in. And this is something to do with the fact that if you constrain the optimization, the weights before the optimization starts, the optimization surface or objective becomes more complicated. And so it's harder to find good minima. So there is also a complicated interplay, I think, between the optimization process and these constraints you put in your network. And so, yeah, you'll hear kind of contradicting claims in this field. Like some people and for certain applications, it works just better than not doing it. And sometimes you hear other people, if you have a lot of data and you can do data augmentation, then actually it's easier to optimize them and it actually works better than putting the equivariance in.[01:30:58:23 - 01:31:07:16]Brandon: Do you think there's kind of a bitter lesson for mathematically founded models and strategies for doing deep learning?[01:31:07:16 - 01:31:46:06]Max: Yeah, ultimately it's a trade-off between data and inductive bias. So if your inductive bias is not perfectly correct, you have to be careful because you put a ceiling to what you can do. But if you know the symmetry is there, it's hard to imagine there isn't a way to actually leverage it. But yeah, so there is a bitter lesson. And one of the bitter lessons is you should always make sure your architecture is scale, unless you have a tiny data set, in which case it doesn't matter. But if you, you know, the same bitter lessons or lessons that you can draw in LLM space are eventually going to be true in this space as well, I think.[01:31:47:10 - 01:31:55:01]RJ: Can you talk a little bit about your upcoming book and tell the listeners, like, what's exciting about it? Yeah, I should read it.[01:31:55:01 - 01:33:42:20]Max: So this book is about, it's called Generative AI and Stochastic Thermodynamics. It basically lays bare the fact that the mathematics that goes into both generative AI, which is the technology to generate images and videos, and this field of non-equilibrium statistical mechanics, which are systems of molecules that are just moving around and relaxing to the ground state, or that you can control to have certain, you know, be in a certain state, the mathematics of these two is actually identical. And so that's fascinating. And in fact, what's interesting is that Jeff Hinton and Radford Neal already wrote down the variational free energy for machine learning a long time ago. And there's also Carl Friston's work on free energy principle and active entrance. But now we've related it to this very new field in physics, which is called stochastic thermodynamics or non-equilibrium thermodynamics, which has its own very interesting theorems, like fluctuation theorems, which we don't typically talk about, but we can learn a lot from. And I think it's just it can sort of now start to cross fertilize. When we see that these things are actually the same, we can, like we did for symmetries, we can now look at this new theory that's out there, developed by these very smart physicists, and say, okay, what can we take from here that will make our algorithms better? At the same time, we can use our models to now help the scientists do better science. And so it becomes a beautiful cross-fertilization between these two fields. The book is rather technical, I would say. And it takes all sorts of things that have been done as stochastic thermodynamics, and all sorts of models that have been done in the machine learning literature, and it basically equates them to each other. And I think hopefully that sense of unification will be revealing to people.[01:33:42:20 - 01:33:44:05]RJ: Wait, and when is it out?[01:33:44:05 - 01:33:56:09]Max: Well, it depends on the publisher now. But I hope in April, I'm going to give a keynote at ICLR. And it would be very nice if they have this book in my hand. But you know, it's hard to control these kind of timelines.[01:33:56:09 - 01:33:58:19]RJ: Yeah, I'm looking forward to it. Great.[01:33:58:19 - 01:33:59:25]Max: Thank you very much. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.latent.space/subscribe

Most people judge their health by how they feel. But feeling “fine” doesn't mean your body is clean, balanced, or truly healthy. In this conversation, Prof. Spira and Jake Gallon break down a simple but overlooked truth: real health is revealed through elimination—not symptoms, lab theories, or trends. You'll learn: Why regular bowel movements don't always mean proper elimination How mucus-forming foods quietly stagnate the body over time Why wiping, residue, and sluggish elimination are warning signs—not normal How the Mucusless Diet Healing System prioritizes observation over guesswork Why “all-or-nothing” thinking destroys progress—and how rational transition restores it This discussion challenges modern health confusion and brings the focus back to cause and effect, simplicity, and personal responsibility. Health doesn't require endless studies, supplements, or extreme diets. It requires understanding what leaves the body—and what doesn't.

Groong Deep History - February 24, 2026In the inaugural Groong Deep History episode, historian Prof. Zaroui Pogossian joins the show to unpack the Vardanank wars and the Battle of Avarayr (451 AD). The conversation sets the longer political and religious context behind the conflict, explains what we can and cannot know from the main Armenian sources, and revisits the standard “moral victory” story through modern source criticism. Pogossian also discusses her work on medieval Armenia and previews an upcoming scholarly volume on Medieval Yeghegis, then uses a critical reading by Hayk Hakobyan to question common assumptions about Avarayr's scale, geography, and strategy.Topics:Vardanank Wars and The Battle of AvarayrArmenian Sources, Yeghishe and ParpetsiPolitics, Christianity, Nakharar Power DynamicsGuest: Zaroui PogossianHosts:Hovik ManucharyanAsbed BedrossianEpisode 518 | Recorded: February 22, 2026SHOW NOTES: https://podcasts.groong.org/518VIDEO: https://youtu.be/1-o4Gv1v4vw #GroongDeepHistory #Vardanank #BattleOfAvarayr #ArmenianHistory #ZarouiPogossianSubscribe and follow us everywhere you are: linktr.ee/groong

Building a model for an academic paper is one thing. Building a model that has to work perfectly during the Cricket World Cup with millions watching is something else entirely. There's no room for the kind of errors that might be acceptable in research settings or even standard business applications.In this Value Boost episode, Prof. Steve Stern joins Dr. Genevieve Hayes to share practical lessons from deploying the Duckworth-Lewis-Stern method in high-pressure, real-time environments where mistakes have global consequences.You'll learn:Why model simplicity matters more than you think [02:04]The two types of errors you need to understand [03:21]How to test models for extreme situations [05:50]The balance between confidence and humility [07:37]Guest BioProf. Steve Stern is a Professor of Data Science at Bond University, and is the official custodian of the Duckworth-Lewis-Stern (DLS) cricket scoring system.LinksContact Steve at Bond UniversityConnect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE

Rev. Prof. Mark DeGarmeaux was preacher for this service. Mark 14:32-52: 32 They went to a place named Gethsemane. Jesus told his disciples, “Sit here while I pray.” 33 Then he took Peter, James, and John along with him and began to be troubled and distressed. 34 He said to them, “My soul is overwhelmed with sorrow, even to the point of death. Stay here and keep watch.” 35 Going forward a little, he fell on the ground and prayed that, if it were possible, the hour might pass from him. 36 He also said, “Abba, Father, everything is possible for you. Take this cup away from me. Yet not what I will, but what you will.” 37 When he returned to the disciples, he found them sleeping. He said to Peter, “Simon, are you sleeping? Were you not strong enough to keep watch for one hour? 38 Watch and pray that you may not enter into temptation. The spirit is willing, but the flesh is weak.” 39 Again he went away and prayed, saying the same thing. 40 When he returned, he found them sleeping, for their eyes were heavy. They did not know what they should answer him. 41 He returned the third time and said to them, “Are you going to continue sleeping and resting? It is enough. The hour has come. Look, the Son of Man is betrayed into the hands of sinners. 42 Rise, let us go. Look, my betrayer is near.” 43 Just then, while he was still speaking, Judas, one of the Twelve, arrived. A crowd was with him, armed with swords and clubs. They were from the chief priests, the experts in the law, and the elders. 44 Now his betrayer had given them a signal, saying, “The one I kiss is the man. Arrest him and lead him away under guard.” 45 He went right to Jesus and said, “Rabbi!” and kissed him. 46 They laid hands on him and arrested him. 47 But one of those who stood nearby drew his sword, struck the servant of the high priest, and cut off his ear. 48 Jesus responded by saying to them, “Have you come out with swords and clubs to capture me as you would a criminal? 49 Day after day I was with you, teaching in the temple courts, and you did not arrest me. But this happened so that the Scriptures may be fulfilled.” 50 Then the disciples all left him and fled. 51 A certain young man was following him, wearing just a linen cloth over his naked body. They seized him, 52 but he left behind the linen cloth and fled from them naked.

Aujourd'hui, Élina Dumont, intervenante sociale, Antoine Diers, consultant auprès des entreprises, et Charles Consigny, avocat, débattent de l'actualité autour d'Alain Marschall et Olivier Truchot.

Enerji ve teknoloji alanlarında iş yönetimi danışmanlığı faaliyetlerinde bulunan, multidisipliner kamu politikaları üreten Glocal Grup Danışmanlık'ın sunduğu Varsayılan Ekonomi'de Dr. Enes Özkan ve Eser Özdil, Türkiye'nin son dönemde yaptığı enerji anlaşmalarını, TPAO ve BOTAŞ'ın bu anlaşmalardaki rolünü, anlaşmaların dış politika ve makroekonomi açısından önemini değerlendiriyor.https://groupglocal.com/contact/  #reklam #işbirliği00:00 Giriş00:35 Elektrik fiyatı 0'a düşer mi?04:00 Santraller elektriği neden saatlik bazda ücretlendiriyor?06:20 Santraller ürettiği elektriği mutlaka satmak zorunda mı; depolamanın önündeki engeller ve çözümler12:40 Türkiye'nin enerji üretiminin kaynak dağılımının aylara/mevsimlere göre değişimi17:30 Türkiye'de Medya ve Siyasi Finansmanı raporumuza dair18:50 TPAO'nun 106 milyar dolarlık uzun süreli LNG anlaşmaları bize ne söylüyor?35:00 Cevap: İran'dan Rusya'dan LNG almayıp ABD'den alınca "çeşitlilik" mi oluyor?43:10 Bir zihin jimnastiği olarak: BOTAŞ bu ay/yıl ne kadar zarar etti45:50 TPAO'nun son anlaşmaları onu lokal bir aktörlükten çıkarıp global aktör yapamazD84 ve Şeffaflık Derneği işbirliğinde hazırlanan “Güç Hatları: Türkiye'de Medya ve Siyasi Finansmanı İzlemek” projesi kapsamında, Prof. Dr. Burak Bilgehan Özpek'in hazırladığı “Türkiye'de Basın Özgürlüğü ve Medya'nın Finansmanı” raporuna aşağıdaki linkten ulaşabilirsiniz:https://daktilo1984.com/wp-content/uploads/2026/02/turkiyedebasinozgurluguvemedyaninfinansmani.pdfAyrıcalıklardan yararlanmak için bu kanala KATILın (IOS kullanan takipçilerimiz de artık kolayca KATILabilirler):https://www.youtube.com/channel/UCWyDy24AfZX8ZoHFjm6sJkg/joinBizi Patreon'dan Destekleyin

Order of Service: - Prelude - Hymn 283 - Glory Be To Jesus, Who in Bitter Pains - The Versicles (pp. 120-121) - The Gloria Patri (p. 121) - Mark 14:32-52: 32 They went to a place named Gethsemane. Jesus told his disciples, “Sit here while I pray.” 33 Then he took Peter, James, and John along with him and began to be troubled and distressed. 34 He said to them, “My soul is overwhelmed with sorrow, even to the point of death. Stay here and keep watch.” 35 Going forward a little, he fell on the ground and prayed that, if it were possible, the hour might pass from him. 36 He also said, “Abba, Father, everything is possible for you. Take this cup away from me. Yet not what I will, but what you will.” 37 When he returned to the disciples, he found them sleeping. He said to Peter, “Simon, are you sleeping? Were you not strong enough to keep watch for one hour? 38 Watch and pray that you may not enter into temptation. The spirit is willing, but the flesh is weak.” 39 Again he went away and prayed, saying the same thing. 40 When he returned, he found them sleeping, for their eyes were heavy. They did not know what they should answer him. 41 He returned the third time and said to them, “Are you going to continue sleeping and resting? It is enough. The hour has come. Look, the Son of Man is betrayed into the hands of sinners. 42 Rise, let us go. Look, my betrayer is near.” 43 Just then, while he was still speaking, Judas, one of the Twelve, arrived. A crowd was with him, armed with swords and clubs. They were from the chief priests, the experts in the law, and the elders. 44 Now his betrayer had given them a signal, saying, “The one I kiss is the man. Arrest him and lead him away under guard.” 45 He went right to Jesus and said, “Rabbi!” and kissed him. 46 They laid hands on him and arrested him. 47 But one of those who stood nearby drew his sword, struck the servant of the high priest, and cut off his ear. 48 Jesus responded by saying to them, “Have you come out with swords and clubs to capture me as you would a criminal? 49 Day after day I was with you, teaching in the temple courts, and you did not arrest me. But this happened so that the Scriptures may be fulfilled.” 50 Then the disciples all left him and fled. 51 A certain young man was following him, wearing just a linen cloth over his naked body. They seized him, 52 but he left behind the linen cloth and fled from them naked. - Hymn 334 - O Sacred Head, Now Wounded: vv. 1, 7, 9 - The Kyrie (p. 124) - The Lord's Prayer (p. 125) - Hymn 584 - Grant Peace, We Pray, in Mercy, Lord - The Collect (pp. 125-127) - The Benedicamus (p. 127) - The Benediction (p. 127) - Hymn 284 - Go To Dark Gethsemane: vv. 1 - 3 - Postlude Service Participants: Rev. Prof. Mark DeGarmeaux (Preacher), Ryan Samek (Organist)

Each year, police officers kill over 1,000 people they've sworn to protect and serve. While some cases, like George Floyd's and Sandra Bland's, capture national attention, most victims remain nameless, their stories untold. Professor Terence Keel's new book, "The Coroner's Silence" reveals a disturbing truth about these cases: coroners and other death investigators are often complicit in obscuring the violent circumstances of in-custody deaths. ​In our latest, we talk with Prof. Keel about the complicity and silence of coroners in the police and in-custody deaths. Bio//Dr. Terence Keel (@TerenceKeel) a professor of human biology, society and African American studies at UCLA. His latest book is The Coroner's Silence: Death Records and the Hidden Victims of Police Violence.-------------------------

Today, we're taking a closer look at one of the world's favourite breakfasts - oats. Depending on who you ask, oats are either a superfood or source for concern. Either a great way to get fibre or a worrying blood sugar spiker. An all natural ally or pesticide riddled wrong'un.  So what's the truth? Are oats a smart start to your day or something to be cautious about? Professor Sarah Berry joins me to dig into the science. What does the literature say about oats?

PROF. John Mearsheimer : Trump Has No OfframpSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Sağduyu programında Tarık Çelenk'in konuğu Prof. Dr. Gökhan Bacık ile İslam ve Hristiyan düşüncesinde vicdan, ahlak ve evrensel etik tartışması ele alınıyor. İslam'da vicdan kavramı var mı? Fıkıh ile ahlak arasındaki fark nedir? Evrensel ahlak mümkün mü? Stoacılıktan Kant'a, Hristiyan teolojisinden İslam ilahiyatına uzanan tarihsel süreçte vicdanın nasıl şekillendiği felsefi ve teolojik bir çerçevede analiz ediliyor. Seküler vicdan, bireysel özgürlük, kategorik imperatif, deontolojik ahlak, fazilet etiği ve dini hükümlerin evrensel etik üretip üretemeyeceği tartışılıyor. Vicdan yargıç mı yoksa yasa koyucu mu? Dindarlık ritüellerle mi yoksa ahlaki eylemle mi ölçülür? İslam dünyasında bağımsız bir ahlak teorisi neden gelişmedi? Tüm bu sorulara Gökhan Bacık ve Tarık Çelenk bu videoda yanıt arıyor. Learn more about your ad choices. Visit megaphone.fm/adchoices

Are you looking to save time, make money, and start winning with less risk? Then head to https://www.ovtlyr.com.The market is getting absolutely hammered right now. Down hard. Sectors bleeding. Headlines screaming about tariffs, inflation, and chaos. And while everyone is debating macro narratives and drawing fancy patterns on charts, there's one simple question that actually matters:Is price going up… or down?In this video, we break down the S&P 500 sell signals, the Nasdaq weakness, tariff uncertainty, rising inflation data, and why chasing “technical bottoms” in collapsing stocks like Novo Nordisk can wreck your portfolio.This is not about predicting the future. It's about responding to what's happening now.While others argue about head and shoulders patterns and magical support lines, this breakdown focuses on direction, trend, and discipline. Because the only time you get paid in the market is when price is moving up. Period.Here's what gets exposed:✅ Why sitting in cash is sometimes the smartest move✅ The truth about market sell signals and trend direction✅ How tariff uncertainty and inflation are pressuring stocks✅ Why buying 70% drawdowns is not a strategy✅ How OVTLYR flags danger before portfolios get wreckedThere's a powerful lesson here about simplicity. You do not need to track the dollar, the 10-year yield, Japan carry trades, or macro noise to be profitable. You need to know when the market is working and when it is not.Right now? It is not.OVTLYR is built for moments like this. It removes emotion, filters noise, and gives clear signals so you can avoid getting caught in stage four downtrends while others are “calling bottoms.”If you care about protecting capital, growing your account, and trading with discipline instead of hope, this one matters.Watch closely. Then decide whether you want to predict… or respond.Subscribe to OVTLYR for disciplined trading strategies that actually make sense.

Clement Manyathela speaks to Prof. Hopewell Ntsinjana, who is a Paediatric Cardiologist at Nelson Mandela Children’s Hospital as well as Nhlamulo Tlakula-Sesing, who is the Founder and Chairperson of Grateful Hearts Foundation to understand what congenital heart defects are and how they affect children in South Africa. The Clement Manyathela Show is broadcast on 702, a Johannesburg based talk radio station, weekdays from 09:00 to 12:00 (SA Time). Clement Manyathela starts his show each weekday on 702 at 9 am taking your calls and voice notes on his Open Line. In the second hour of his show, he unpacks, explains, and makes sense of the news of the day. Clement has several features in his third hour from 11 am that provide you with information to help and guide you through your daily life. As your morning friend, he tackles the serious as well as the light-hearted, on your behalf. Thank you for listening to a podcast from The Clement Manyathela Show. Listen live on Primedia+ weekdays from 09:00 and 12:00 (SA Time) to The Clement Manyathela Show broadcast on 702 https://buff.ly/gk3y0Kj For more from the show go to https://buff.ly/XijPLtJ or find all the catch-up podcasts here https://buff.ly/p0gWuPE Subscribe to the 702 Daily and Weekly Newsletters https://buff.ly/v5mfetc Follow us on social media: 702 on Facebook https://www.facebook.com/TalkRadio702 702 on TikTok https://www.tiktok.com/@talkradio702 702 on Instagram: https://www.instagram.com/talkradio702/ 702 on X: https://x.com/Radio702 702 on YouTube: https://www.youtube.com/@radio702 See omnystudio.com/listener for privacy information.

Join Elevated GP: www.theelevatedgp.com Register for the live meeting: https://www.theelevatedgp.com/ElevationSummit Download the Injection Molding Guide: https://www.theelevatedgp.com/IMpdf  In Part 1 of this two-part series, Dr. Melissa Seibert sits down with Professor Bart Van Meerbeek, one of the most influential figures in adhesive dentistry worldwide. From dentin permeability to hybrid layer degradation, Professor Van Meerbeek's research has fundamentally shaped how clinicians understand the biological and mechanical realities of bonding. This conversation moves beyond product marketing and into the core science: what we truly know, what remains uncertain, and why durability in adhesion continues to require deliberate clinical judgment. Together, they unpack the "adhesion degradation paradox," the hydrophilicity trade-off inherent in universal systems, and the persistent performance gap between simplified one-step adhesives and multi-step gold standards. The discussion explores film thickness, hydrophobic layering, stress distribution, and the biomechanical role of flowable composites as stress-relieving buffers. They also examine why 10-MDP concentration matters, why not all universal adhesives perform equivalently, and how bonding strategy should be tailored to substrate conditions—from young permeable dentin to sclerotic or amalgam-affected substrates. This is not a discussion about shortcuts. It is a rigorous, clinically grounded examination of what evidence-based adhesive dentistry actually demands. If you are striving to practice with greater clarity, confidence, and scientific defensibility, this episode will recalibrate how you think about bonding protocols in everyday practice. Part 2 will continue the conversation, moving deeper into contamination management, clinical troubleshooting, and long-term durability.

#444> To purchase the book: https://amzn.to/4rDbry4> To join the SeforimChatter WhatsApp community: https://chat.whatsapp.com/DZ3C2CjUeD9AGJvXeEODtK> To join the SeforimChatter WhatsApp status: https://wa.me/message/TI343XQHHMHPN1>  To support the podcast or to sponsor an episode follow this link: https://seforimchatter.com/support-seforimchatter/or email seforimchatter@gmail.com (Zelle/QP this email address)Support the show