Podcasts about prof

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.

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/

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.

Juckreiz ist mehr als nur ein bisschen Kratzen. Für viele Kinder ist er eine der belastendsten Beschwerden überhaupt und für euch als Eltern oft genauso zermürbend. Wenn euer Kind sich nachts hunderte Male kratzt, kaum schläft und am nächsten Tag erschöpft und gereizt ist, leidet die ganze Familie mit. Genau darüber sprechen Tati und Felix in dieser Episode gemeinsam mit einer der führenden Expertinnen, Prof. Dr. Sonja Ständer, für chronischen Juckreiz in Deutschland. Ihr erfahrt, warum Juckreiz unbedingt ernst genommen werden sollte, wie er entsteht und weshalb er bei Neurodermitis so hartnäckig sein kann. Es geht um konkrete Alltagstipps, sinnvolle Pflege, nächtliche Strategien und die Frage, wann Medikamente notwendig sind. Eine Folge für alle Herzis, die verstehen wollen, was hinter dem Juckreiz steckt und wie ihr eurem Kind wirklich helfen könnt. ✨

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.

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

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

This commemorative episode of the PAGES POD marks the one-year anniversary of our Fireside Chat at Santa Clara University and features a conversation on Black suffering, Afropessimism, and public emotion. The episode features Prof. Frank Wilderson III, Chancellor's Professor of African American Studies at University of California, Irvine, in dialogue with Assistant Professor of Philosophy Prof. Justin Clardy (SCU) and doctoral candidate Kevin Morris (UMass).The conversation examines civic indifference and the grammar of Black suffering.This is also a moment of reflection and return. Whether you joined us live or are encountering the conversation for the first time, this episode invites you to sit with the questions that remain with us long after the conversation was had.Mentioned in this episode:Civic Indifference and Black Suffering (Youtube Episode)Engendering Blackness: Slavery and the Ontology of Sexual Violence - Patrice DouglassScenes of Subjection - Saidiya HartmanBlack Skin White Masks - Frantz FanonThe Wretched of the Earth - Frantz FanonFollow us across our social media channels:IG- @PagestrgTikTok & Youtube- @PagesthereadinggroupWebsite- www.Pagestrg.com

Seven students at Trinity College Dublin have this week received Three Ireland Connect to STEM Scholarships for Women, as part of an initiative to support the next generation of women leaders in science and technology. The awards were presented at an evening ceremony on Monday, February 23rd, 2026. The awardees, who are first and second-year students at Trinity, are the latest of more than 20 Trinity students to be awarded Three Ireland Connect to STEM Scholarships for Women since the programme began in 2022/23. They are: — Leah Nolan, Theoretical Physics (1st year) Cork — Anuska Saha, Engineering (1st year) Kerry — Lucy Pakenham, Engineering (1st year) Meath — Heather McFadden, PhysicalSciences (1st year) Sligo — Charlotte MacDonnell, Theoretical Physics (2nd year), Dublin — Alicia O'Keeffe, Engineering with Management (2nd year), Cork — Rahma Elmbaridi, Engineering (2nd year) Louth Administered by the Faculty of STEM and Trinity Access Programmes, each scholarship is worth €20,000 over a four-year undergraduate degree programme (or €15,000 over three years). The scholarship scheme is designed to attract, encourage and support women to study STEM subjects at Trinity. The successful students receive additional mentoring support from Three Ireland and from the Faculty of STEM. In October 2025, the scholarship application process was open to both first-year and second-year student applicants who are registered in selected STEM courses. Recipients were chosen based on a written application. The scholarships are open to female students who are resident in Ireland and have accepted a place in one of the following Trinity undergraduate programmes: School of Computer Science & Statistics, School of Engineering, School of Mathematics, School of Physics and the School of Chemistry (Chemical Science only). Dr Linda Doyle, Provost, Trinity College Dublin, said: "We need many more women studying, shaping, and leading in STEM, and it is vital that we create pathways that empower them to do so. "The Three Ireland Connect to STEM programme is proving to be transformative in this mission. I want to congratulate this year's awardees, and I also want to thank Three Ireland for working with us to support these remarkable women." Prof. Sylvia Draper, Dean of STEM at Trinity, said: "I want to acknowledge the personal stories and the achievements of all the applicants. The students who have won these scholarships are truly deserving of our admiration and our support. I have no doubt that they will go on to do extraordinary things and to make their mark in the college, in science, in society, and in the world of work. The enthusiasm, commitment, and engagement of everyone involved in this programme has been inspiring. "These scholarships would not have been possible but for the generosity and vision of Three Ireland. It has been wonderful to work with them so closely. Their support has helped us to offer STEM programmes that are open to all, and to ensure that we have Three Ireland Connect to STEM scholars, with the skills to address global challenges and to advance diversity throughout their careers." Elaine Carey, Chief Executive Officer, Three Ireland, said: "Innovation is at the heart of everything we do at Three Ireland and as a major employer in this sector, we are deeply committed to building a more diverse and representative STEM community. We know we need more women in STEM, and that is why our partnership with Trinity matters so much. Through the Connect to STEM Scholarships, we are helping to remove barriers, build confidence, and create meaningful pathways to opportunity. "It was a real privilege to meet this year's scholarship recipients and hear their stories. The calibre of talent, determination and ambition on display was truly impressive. These young women have incredibly bright futures ahead of them, and we are proud to play a small part in supporting their journey." More about Irish Tech News Irish Tech News are Ireland's No. 1...

Anke Plättner diskutiert mit Sonja Álvarez, US-Korrespondentin WirtschaftsWoche, Rüdiger Bachmann, Ökonom, Univ of Michigan, Prof. Gerlinde Groitl, Politikwissenschaftlerin Uni Regensburg, Christian Schiffer, freier Journalist Co-Host "Peter Thiel Story"

Bienvenue sur Avant j'étais prof, le podcast des enseignants en reconversion.Aujourd'hui, on va parler d'un sujet parfois tabou dans la reconversion : le job alimentaire.Je parle là de ce fameux boulot qu'on prend “en attendant”, qui est parfois loin de l'idée du métier qui nous fait rêver (et qui fait rêver les autres). De celui qu'on n'affiche pas spécialement sur LinkedIn, et dont on ne veut parfois pas parler tout court. Ou encore de celui qui fait parfois un peu mal à l'égo et qu'on se sent obligé de justifier à chaque fois qu'on l'évoque.Pourtant, trouver un job alimentaire peut être une aide précieuse dans certaines situations de reconversion, et c'est important d'en avoir conscience.Dans cet épisode, j'évoque le concept de "job alimentaire" dans son ensemble, je partage mon propre témoignage et je vous propose d'écouter 3 exemples de profs en reconversion qui occupent actuellement un job alimentaire pour des raisons bien distinctes. Merci à eux.

In diesem Gespräch mit Eva Asselmann, Psychologieprofessorin und Autorin, wird das Thema Stress und das Gefühl von Überforderung in der modernen Gesellschaft behandelt. Eva erklärt, wie das Bedürfnis nach Kontrolle und die Reizüberflutung zu einem Gefühl des „Too Much” führen. Sie diskutiert die Bedeutung von Selbstwirksamkeit, Achtsamkeit und innerer Stabilität sowie praktische Tipps, um mit Stress umzugehen und das eigene Wohlbefinden zu steigern. Das Gespräch schließt mit der Erkenntnis, dass Vertrauen in den Prozess des Lebens und das Loslassen von Kontrolle entscheidend für ein erfülltes Leben sind.

Rehabilitation is more than exercise – it is a personalised process of learning and adaptation that empowers people living with MS to maximise independence, participation and quality of life. In this episode –  recorded at ECTRIMS 2025 in Barcelona during the joint ECTRIMS–RIMS meeting – host Brett Drummond speaks with Prof. Roshan das Nair from SINTEF and Dr. Blanca de Dios Pérez from University of Nottingham about the evolving role of rehabilitation in MS care. They explore: ·      Why rehabilitation should be integrated from diagnosis ·      The rise of vocational rehabilitation and supporting people to remain in work ·      Mental health as a core component of MS care ·      Digital technologies for cognitive screening and personalised triage ·      The importance of implementation — turning research into real-world care ·      Moving toward a "community of care" model beyond the clinic As MS care advances, rehabilitation remains essential for translating medical progress into meaningful everyday outcomes.

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.

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.

Çavuşesku'nun Termometresi'nde Ekin Keleş moderatörlüğünde Prof. Dr. Burak Bilgehan Özpek ve İlkan Dalkuç ile Savunma ve Uluslararası Ticaret Hukuku Uzmanı Av. Şafak Herdem "Özel Askerî Operasyon"un 4. senesinde Rusya'nın Ukrayna'yı işgalini ve Millî Dayanışma, Kardeşlik ve Demokrasi Komisyonu'nun raporunu ve raporun ardından Bahçeli'nin Öcalan ve KCK açıklamalarını değerlendiriyor.Av. Şafak Herdem'in Linkedin Sayfası:https://www.linkedin.com/in/safak-herdem00:00 Giriş00:34 Daktilo1984 işgalin 4. yılında da Ukrayna'nın yanında04:20 Rusya'ya yaptırımların (2014'ten bugüne) ne kadar etkisi oldu?08:50 Yaptırımlar hangi ülkede hangi alanlarda ne ölçüde etkili olabilir?10:20 Rusya demokratik bir toplum olmadığı için yaptırımlar ülkeyi değil halkı etkiledi denilebilir mi?12:50 Biden gitti, Trump geldi; Rusya'ya ABD yaptırımlarında farklılık var mı?15:30 AB, yaptırımların dolanılmasını önlemek için proaktif yaklaşımlar sergiliyor16:05 Rusya'ya yaptırımların dolaylı hedefi: (ava giderken avlanayazan) Türkiye19:10 Türkiye'nin Rusya'dan savunma sanayisinde giderek uzaklaşmasının sonuçlarına dair21:40 S-400'ü aldık ama bi' sor, niye aldık? (sadece yanlış cevaplar)24:50 Yaptırımlar Rusya'nın savaşı sona erdirmesinde nasıl etkili olabilir?27:30 Millî Dayanışma, Kardeşlik ve Demokrasi Komisyonu'nun raporuna değil hapse bak, sokağa bak32:10 Bahçeli, herkesin farklı anlayabileceği sözleri niye söylüyor?34:50 Çözüm Süreci=Muhalefeti toptan, topyekün, tamamen susturma süreci37:32 Olaylar hep Kürtler üzerinden gerçekleşiyor ama Kürtlerden bahseden yok39:02 İsrail ile PKK arasında bir yakınlık, çok yakınlıktan bahsedenler vardı...40:20 İktidar ve muhalefetin mevzi kazanma mücadelesinde Kürt kamuoyuna "verilecekler"41:52 Bu süreçte insanların sağduyusu beni memnun etti (ulusalcı, milliyetçi kesimlerin BİLE)42:54 Süreç'in saha realitesiyle ilgisi yokken neden Bahçeli sürekli jeopolitik diyor?45:40 Münih Güvenlik Konferansı'nın dayattığı gerçeklik Türkiye'ninki değil ABD'ninki48:20 Öcalan'ın paradigması: 10 yıldır muhalefetle yürüdük, bir de iktidarla yürüyelim49:00 Çözüm Süreci, Immoral Tales'in (1973) sanat filmi olarak değerlendirilmesi gibidir (manası çok derin)55:20 Benim bir şey söylememe gerek yok: Türkiye, Gazze Barış Kurulu'nda İsraill'le aynı masada01:03:20 İmralı'ya CHP gitmeyince hiç kimse gitmemiş oluyor01:07:50 Demokratikleşme herkes için iyi bir şeyse niye..? Ayrıcalıklardan yararlanmak için bu kanala katılın:https://www.youtube.com/channel/UCWyDy24AfZX8ZoHFjm6sJkg/joinBizi Patreon'dan Destekleyin

Anastasia Canonica was born in post-Soviet Russia in 1991, the year the USSR collapsed and the monetary system reset overnight, erasing everyone's savings. She was placed in an orphanage at age 4 after her parents turned to alcohol amid the poverty crisis, spending ages 4-16 in Orphanage Number 5 in Novokuznetsk, Siberia. After her father's death when she was 11, she became consumed with anger and resentment, developing a physical growth on her body. At 13, she experienced a miracle healing through Louise Hay's book "Heal Your Body," learning to release resentment and forgive. After a two-year adoption process, Anastasia came to America at 16, right as the 2008 financial crisis hit. Ana shares her awakening journey and Bitcoin adoption, seeing it as a source of hope that the parallel centralized dystopian world doesn't have to be the only option.→ Please like, comment, share & follow — to help me beat the suppressing algo's. Thank you!– SPONSORS –→ Access liquidity without selling your Bitcoin with Ledn — learn more at https://ledn.io/Efrat → Get your TREZOR wallet & accessories, with a 5% discount, using my code at checkout (get my discount code from the episode - yep, you'll have to watch it): https://affil.trezor.io/SHUn→ Have you tried mining bitcoin? Stack sats directly to your wallet while saving on taxes with Abundant Mines: https://AbundantMines.com/Efrat - Claim your free month of hosting via this link– AFFILIATES –→ Get 10% off on Augmented NAC to detox Spike protein, with the code YCXKQDK2 via this link: https://store.augmentednac.com/?via=efrat (Note, this is not medical advice, please consult your MD)→ Join me at Europe's largest bitcoin conference - BTC Prague, June 11-13, 2026. Code EFRAT for 10% off: http://btcprg.me/EFRAT→ Be good to your eyes & health, and get the Daylight tablet - a healthier, more human-friendly computer, zero blue light & flicker. Use code EFRAT for $25 off: https://bit.ly/Efrat_daylight → Get a second citizenship and a plan B to relocate to another country with Expat Money, leave your details for a follow up: https://expatmoney.com/efrat→ Watch “New Totalitarian Order” conference with Prof. Mattias Desmet & Efrat - code EFRAT for 10% off: https://efenigson.gumroad.com/l/desmet_efrat→ Join me in any of these upcoming events: https://www.efrat.blog/p/upcoming-events– LINKS –Ana on X: https://x.com/nastyhodl Ana on Instagram: https://www.instagram.com/anastasia_living_life/ Efrat's X: https://twitter.com/efenigsonEfrat's Channels: https://linktr.ee/efenigsonWatch on all platforms: https://linktr.ee/yourethevoiceSupport Efrat's work: ⁠https://bit.ly/zap_efrat– CHAPTERS –00:00 - Coming Up... 01:33 - Introduction to Ana04:15 - Ana's Backstory, Soviet Collapse & Monetary Reset 09:42 - Ad-Break: Ledn & Trezor 13:00 - Orphanage at Age 4 18:35 - Grandma's Worthless Fiat Money 24:44 - Father's Death at Age 11 31:02 - The Physical Side Effects of Stuck Anger 33:59 - Ad-Break: Abundant Mines & New Totalitarian Order Conference36:20 - Louise Hay's Book: Heal Your Body 41:17 - The Miracle: Physical Healing Through Forgiveness 45:20 - Ana's Brother Adopted by American Family 51:03 - The Adoption Offer59:44 - 2008: Arriving in America During Financial Crisis 01:03:24 - Music School & Finance School 01:05:40 - Learning the Broken Monetary System & Finding Bitcoin 01:09:44 - Covid Started The Great Awakening 01:15:06 - Energy, Bitcoin & Hope

Prof. Andrew Cottey,  Department of Government and Politics at UCC

Vergangene Woche wurde das Buchungssystem der Deutschen Bahn gestört – durch einen Cyberangriff, wahrscheinlich aus Russland. Zig oder sogar hunderte Milliarden solcher Angriffe prasseln jedes Jahr auf unsere kritische Infrastruktur ein. Was können wir dagegen tun? Sollten wir vielleicht sogar zurückschlagen? Martin Gramlich im Gespräch mit Prof. Dennis-Kenji Kipker, Universität Bremen und Cyberintelligence Institute Frankfurt am Main.

Prof. Chris Roth, president van die Suid-Afrikaanse Instituut vir Siviele Ingenieurs (SAICE), gesels oor die vaardigheidstekorte by Suid-Afrikaanse waterrade. Volg RSG Geldsake op Twitter

“Students involved in the SWESBUS assault incident should be disciplined, not dismissed. Expulsion could turn them into school dropouts and put their future at risk.” - Prof. Kwasi Opoku-Amankwa, Former Director-General, Ghana Education Service

Prof. Dr. Murat Ferman NTVRadyo'da hafta içi her sabah canlı yayında, o gün Türkiye ve dünyada ekonominin gündemini, olan biteni, piyasalardaki gelişmeleri, beklentileri, olayların etkisini, vatandaşa nasıl yansıyacağını anlatıyor.

In this conversation, Peter Brindley and Leon Byker sit down with Peter Kruger, President of the College of Intensive Care Medicine, to unpack one of the defining issues facing healthcare today: workforce reform.Against the backdrop of national workforce reviews across Australia and New Zealand, the discussion explores the tension between aspiration and reality. Governments want equitable access, rural coverage, sustainable systems, and improved wellbeing for clinicians. Colleges want standards, safety, and meaningful careers. Trainees want jobs. Communities want hospitals. Politicians want solutions.So how do we reconcile all of it?Dr. Kruger reflects on the growing engagement between specialist colleges and government, particularly around workforce maldistribution, rural and regional care, sub-specialization versus generalism, and the moral complexity of relying on internationally trained doctors. The conversation highlights a key truth: intensive care is a hospital-based, system-dependent specialty. You cannot simply “place a doctor” in a community without the supporting infrastructure.The episode also tackles uncomfortable but necessary questions:Can there be a universal standard for ICU access across vastly different hospital settings?Should governments mandate rural placements—or can communities be strengthened from within?What role should nurse practitioners and multidisciplinary teams play?Are we protecting turf, or protecting patients?And how do we better support doctors across the entire career pipeline—from medical student to senior intensivist winding down night shifts?Throughout, the tone is candid but diplomatic. There's recognition that workforce reform is complex, long-standing, and resistant to simple solutions. Yet there is also optimism: trust, transparency, and genuine partnership between colleges and government may offer a way forward.At its core, this episode is about purpose. The shared mission between clinicians, colleges, and governments is delivering safe, effective care to the community. The challenge lies in doing so while balancing standards, sustainability, and humanity.

“Wicked Problems,” hosted by Richard Delevan, returns after a long hiatus and links escalating repression - newly including climate activists - with a high-stakes by-election in Greater Manchester. It opens with concerns about confrontational protest being met with violence and political repression, alongside Nigel Farage's Reform proposing a “UK deportation command,” expanding detention with “no chance of bail,” and “detention will mean deportation.” Devin cites New York Times reporting that the FBI has begun targeting climate activists, including people who have not protested in years, and frames this as part of a broader effort to quash dissent.Professor Dana R. Fisher of American University discusses what she describes as a “perfect storm” in the US: federal occupations of cities (highlighting Minneapolis), the murder of two American citizens while they were bearing witness to ICE actions, the president getting rid of the endangerment finding underlying US climate policy, and FBI investigations focusing on the "radical fringe" of the climate movement. Fisher argues these groups are “low hanging fruit” because their confrontational tactics (e.g., throwing paint, smearing food, blocking traffic, bird-dogging elected officials) are widely unpopular, making it easier for authorities to target them first as part of a broader slide toward autocracy that also threatens media freedoms. She says repression and violence against peaceful activists historically mobilize larger protests, even as it can lead to persecution, jail, and martyrdom. She also describes survey results from a Women's March–coordinated “Free America walkout” showing over 75% support for a movement becoming more confrontational and 65% willingness to personally engage in confrontational activism; she notes the participants were largely white, female, older, and highly educated.Prof. Fisher's Apocalyptic Optimist podcast.Britain has already jailed nonviolent climate protestors and restricted defenses in court, with ongoing debates about protest trials and labeling Palestine Action a terror group. The Gorton and Denton by-election seems to be between Reform, seeking to import Trump's climate and migration agenda, and the surging Green Party, treating climate, inequality, and migration as realities to face without losing humanity. The show notes a single constituency poll with Green candidate Hannah Spencer ahead of Reform's Matt Goodwin, with Labour (which has held the seat for a century) behind; as Labour is consumed by Epstein-linked arrests and scandal involving Peter Mandelson and former Prince Andrew.In an interview recorded late in 2025, Harriet Lamb, CEO of the Green Party of England and Wales, describes rapid growth following Zach Polanski's leadership, with membership doubling to over 150,000. Lamb connects her background in international development and environmental and social justice to party politics, argues the UK has shifted into a multi-party system creating both dangers and opportunities, and emphasizes a “people and planet” platform focused on the cost-of-living crisis, inequality, wealth taxes, and strong public support for climate action. She discusses candidate development through a “Greens to Parliament” program aimed at building a diverse slate for 2029, and says coalition politics must protect Green principles and public trust, citing German coalition negotiations and the Scottish Greens' Bute House agreement as examples.00:00 Confrontation and Repression01:35 Wicked Problems Returns04:11 FBI Targets Climate Activists07:42 Low Hanging Fruit and Autocracy19:18 UK By-Election and Green Surge29:32 Hope Surge and Outreach31:28 Broad Coalition and Core Values36:28 Vetting New Recruits38:39 Road to Parliament and Coalitions45:24 Milestones and Closing Reflections Hosted on Acast. See acast.com/privacy for more information.

Celeberating one of Ghana's best Cardiologists.

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.

Prof. Avi Rivkind is Head of the Department of General Surgery and the Trauma Unit at Hadassah Medical centre in Jerusalem.

In this episode, Prof Chapman explains why selecting the right fertility specialist can significantly influence your IVF journey and outcomes. Responding to questions about failed protocols, limited embryos in storage, and embryo grading, he breaks down what classifications like “3BB” really mean and how treatment strategies can be refined to improve your chances. Drawing on over four decades of experience, Prof Chapman discusses the role of clinical intuition alongside data, the importance of staying current with evolving research, and why high-volume fertility expertise matters. He also explores how emotional readiness and resilience shape treatment decisions, reinforcing the value of truly personalised IVF care. Explore the 'Prof. Michael Chapman - The IVF Journey' Facebook Page, your reliable destination for cutting-edge insights and guidance within the realm of In Vitro Fertilization (IVF). Don't miss out on the IVF Journey podcast; stay informed with the latest episode updates. Tune in for expert discussions and valuable information on navigating the intricate path of IVF.

Functional dystonia can closely mimic idiopathic dystonia, and objective physiological markers to support the diagnosis are still limited. In this episode, Dr. Michele Matarazzo speaks with Prof. Roberto Eleopra about a pilot study using poly-EMG during a controlled propofol sedation protocol to help differentiate functional from idiopathic dystonia. They discuss the study's rationale and design, the key findings, and what this approach could (and could not) add to real-world diagnostic workflows in selected complex cases. Journal CME is available until February 19, 2027 Read the article.

Vom Medikament, das Menschen helfen soll, zur Droge, die Menschen tötet. Dieser Weg verläuft oft gefährlich schnell über fließende Grenzen. Gerade bei Fentanyl. Ein starkes Schmerzmittel, das immer wieder als Droge missbraucht wird. In den USA sterben daran im Schnitt jede Woche mehr als 20 Teenager. Auch deshalb, weil Drogen gezielt mit Fentanyl versetzt werden, was ihre Gefährlichkeit um ein Vielfaches erhöht. Wie lässt sich verhindern, dass Fentanyl in tödlicher Zusammensetzung und Dosierung auch bei uns weiter um sich greift? Welche Rolle spielt es schon jetzt in der Drogenszene? Wo kommt es her? Wer ist davon bedroht? Und steht zu befürchten, dass Fentanyl auch in Partydrogen landet? Darüber spricht Oliver Glaap mit Christiane Holze, deren Sohn an einer Überdosis Fentanyl gestorben ist und die sich in der Tilman-Holze-Stiftung für Aufklärung und Prävention gegen Drogenmissbrauch einsetzt. Außerdem mit Bernd Werse, Leiter des Instituts für Suchtforschung an der UAS Frankfurt, mit Oliver Hasenpflug vom Konsumraum Niddastraße in Frankfurt und Tino Igelmann, Leiter des Zollkriminalamts. Podcast-Tipp: hr1 Talk Prof. Dr. Bernd Werse leitet seit 2024 das Institut für Suchtforschung (ISFF) an der Frankfurt University of Applied Sciences. Davor war er lange Jahre Leiter des Centre for Drug Research an der Goethe Universität, wo er zahlreiche Projekte im Feld der Suchtforschung betreute. Im hr1 Talk mit Klaus Reichert berichtet er über den aktuellen Stand der Sucht- und Drogenforschung in Deutschland, der speziellen Situation in Frankfurt und begründet, warum er eine kontrollierte Legalisierung von Drogen befürwortet. https://www.ardaudiothek.de/episode/urn:ard:episode:407db9fb60922f60/

İki Savaş Bir Yazar'da Prof. Dr. Korgün Koral ve Prof. Dr. Burak Bilgehan Özpek; "Batı Cephesinde Yeni Bir Şey Yok"un yazarı Remarque'ın hayatını konuşmaya sonraki romanları Dönüş Yolu, Üç Arkadaş, Sevmek Zamanı Ölmek Zamanı, Kara Anıt ve Cennetin Gözdesi Yoktur ile devam ediyor.Ayrıcalıklardan yararlanmak için bu kanala katılın:https://www.youtube.com/channel/UCWyDy24AfZX8ZoHFjm6sJkg/joinBizi Patreon'dan Destekleyin

Owning your Attention with Prof Larry Berger on The Living Process with Greg Madison, E045. This is a packed episode with Larry Berger talking about ‘Attention' and then ‘attention activism' as an attempt for humans to regain some ownership over our attention. Larry talks about his correspondence with Gene, the ‘fracking of attention' and the political implications of where we place our attention. There are a number of links below for further exploration of these topics. Also check out Larry's book, The Politics of Attention and the Promise of Mindfulness. “Lawrence Berger calls for the recognition of attention as indispensable for reshaping our traditional views of the body, self, and politics. Rigorous yet accessible, this book offers readers interested in hermeneutics, phenomenology, and political philosophy valuable new insights into the gathering power of attention for individual and community formation.”Episode 45 - Owning Your Attention with Larry Berger: https://youtu.be/yn6qlgwqzCcThe Living Process - all episodes and podcast links: https://www.londonfocusing.com/the-living-process/TLP YouTube video channel: https://www.youtube.com/playlist?list=PLC0TgN6iVu3n9d9q2l43z1xBMYY3p9FQLLawrence Berger is a former professor of business and currently teaches philosophy while writing about his main themes, including, “Being There: Heidegger on Why Our Presence Matters”. This article appeared in the New York Times philosophy blog and was the most shared article on the day of its publication in 2015. In addition to numerous articles on the philosophy of attention, Larry has recently published the book, The Politics of Attention and the Promise of Mindfulness, which gives Gendlin's A Process Model a central role. Below are links to some of the groups Larry mentioned. https://friendsofattention.orghttps://deeptransformation.network/posts/96050390?utm_source=manualwww.belovedcommunitycircles.orghttps://focusinginternational.org(Community Wellness initiatives)

Wenn die US-amerikanische Philosophin Judith Butler am 24. Februar ihren 70. Geburtstag feiert, wird die intellektuelle Welt vermutlich in zwei Lager zerfallen: grenzenlose Verehrung hier, vernichtende Kritik dort. Wie immer, denn Butler polarisiert. Rechten Kulturkämpfern gilt ihre Geschlechtertheorie, mit der sie das binäre Denken in den Kategorien von Mann und Frau überwinden will, schlicht als „Gender-Ideologie“. Von links kommt der Vorwurf, Butler habe die wahren Ziele des Feminismus verraten. Zudem sei ihre Kritik an Israel antisemitisch. Was stimmt? Lohnt die Auseinandersetzung mit Butler noch? Michael Risel diskutiert mit Jan Feddersen, Journalist, „taz“; Prof. Dr. Eva Geulen – Direktorin des Leibniz-Zentrums für Literatur- und Kulturforschung Berlin; Dr. Mithu Sanyal – Autorin und Journalistin

#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

Luke O'Neill, Professor of Biochemistry and Immunology at Trinity College, talks to Brendan about ‘Sniper's Alley' - the period of time around your fifties when you start becoming more susceptible to negative health events. He explains how to bulletproof yourself before you enter Sniper's Alley and has general tips for better health for us all.

Episode 91 - Environmental art meets activism as Anna Dogadkina transforms landscapes and ocean plastic into collages celebrating beauty and care for the planet. From Harvard to the G20, Malkah Nobigrot turns conflict into leadership.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.

From the Irish to the Italians, America has received waves of immigrants from nearly every inhabited continent at some point and just about all of them faced significant discrimination upon their arrival. With current discourse now focused on Somali, Muslim, and Indian migrants, an uncomfortable question arises: Were these the same conversations people had about our ancestors? Professor of History at George Washington University Tyler Anbinder joins Will to go over America's storied relationship with immigration, explaining why Irish-Americans faced so much discrimination, and how they gradually came to be accepted. Plus, Will and The Crew weigh in on the discussion with Professor Anbinder and share their own thoughts on whether today's immigration debate reflects the past. Subscribe to ‘Will Cain Country' on YouTube here: ⁠⁠⁠⁠⁠Watch Will Cain Country!⁠⁠⁠ Follow ‘Will Cain Country' on X (⁠⁠⁠@willcainshow⁠⁠⁠), Instagram (⁠⁠⁠@willcainshow⁠⁠⁠), TikTok (⁠⁠⁠@willcainshow⁠⁠⁠), and Facebook (⁠⁠⁠@willcainnews⁠⁠⁠) Follow Will on X: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@WillCain⁠  Learn more about your ad choices. Visit podcastchoices.com/adchoices