Podcasts about Nadja

 DownloadWelcome to episode 429 of LOTC!! This week the Mortis's are under the weather but are still bringing everyone the top 5 horror movies from the year 1994. The crew is joined by Victoria Chambers, who brought her A game for this one. You do not want to miss this episode. Did our list's line up with yours? Listen now as the crew rank their top 5's in round robin style. Sit back and grab those favorite snacks and beverages as you take a journey with us through the Land Of The Creeps.HELP KEEP HORROR ALIVE!!TOP 5 LIST'SVICTORIA CHAMBERS1. IN THE MOUTH OF MADNESS2. NADJA3. THE PUPPET MASTERS4. FUNNY MAN5. MOSQUITODAVE BECKER1. CEMETERY MAN2. IN THE MOUTH OF MADNESS3. INTERVIEW WITH A VAMPIRE4. WES CRAVEN'S NEW NIGHTMARE5. MARY SHELLEY'S FRANKENSTEINPEARL1. WES CRAVEN'S NEW NIGHTMARE2. THE CROW3. NIGHT OF THE DEMON'S PT 24. INTERVIEW WITH A VAMPIRE5. WOLFBILL VAN VEGHEL1. IN THE MOUTH OF MADNESS2. WOLF3. PUPPET MASTERS4. CEMETERY MAN5. WATCHERS 3GREGAMORTIS1. CEMETERY MAN2. WES CRAVEN'S NEW NIGHTMARE3. THE CROW4. MOSQUITO5. BRAINSCANLOTC Links :Land Of The Creeps InstagramGregaMortisFacebookTwitterLand Of The Creeps Group PageLand Of The Creeps Fan PageJay Of  The Dead's New Horror Movie PodcastYoutubeInstagramEmailLetterboxdDr. ShockDVD Infatuation TwitterDVD Infatuation WebsiteFacebookHorror Movie PodcastJay Of The Dead's New Horror Movies PodcastYouTube ChannelLetterboxdDVD Infatuation PodcastThe Illustrated Fan PodcastBill Van Veghel LinkFacebookLetterboxdPhantom Galaxy PodcastTwisted Temptress LinkLetterboxdLOTC Hotline Number1-804-569-56821-804-569-LOTCLOTC Intro is provided by Andy Ussery, Below are links to his social mediaEmail:FacebookTwitterOutro music provided by Greg Whitaker Below is Greg's Twitter accountTwitterFacebookLespecial FacebookLespecial Website

På nyheterna: Putin, Gaza, Trump och plattmaskar. Men hur mår vi? Åtta svenskar, från norr till söder, släpper in oss i sina liv en vanlig dag i mars. Lyssna på alla avsnitt i Sveriges Radio Play. Edith går i sexan i Alingsås och oroar sig över sina betyg och ångrar att hon önskat sig sygrejer. I Västerås pluggar Naim till sjuksköterska och oroar sig för världskrig men är mest rädd för myror.I Aspudden har Fredrik sagt upp sig från sitt jobb för att känna sig fri och i Göteborg driver Nadja sin egen restaurang för att hon älskar att laga mat.I Piteå kämpar Sofia för sina barn och drömmer om Pompeji och i Vasastan drömmer Vlado om Sverige som det var förr, när människor lagade sina skor och Tage Erlander var statsminister.Men i Malmö känner Carl-Henrik framtidstro eftersom AI kommer göra världen bättre. Och i Vreten funderar Linn på om ett kafferep med Putin, hennes mormor och jobbarkompisarna från rörfirman skulle kunna rädda världsfreden.Dokumentären är gjord mars 2025.Reportrar: Anna FreyHåkan EngströmYlva LindgrenIda LundqvistLotta MalmstedtRandi Mossige-NorheimSofia KottorpProducenter: Anna FreyYlva LindgrenSlutmix: Sandra Pettersson

Böttiger, Helmut www.deutschlandfunkkultur.de, Lesart

Böttiger, Helmut www.deutschlandfunkkultur.de, Lesart

Böttiger, Helmut www.deutschlandfunkkultur.de, Lesart

In dieser besonderen Jubiläumsfolge unterhalten sich Alisa und Nadja darüber welche 5 Momente es geben kann, die euch in euren Organisationen davon abhalten können, nachhaltig in Richtung Lean oder Agile zu transformieren. Erfahrt in Teil eins unserer Doppelfolge, was die ersten 2 von 5 Momenten sind. +++ Zitate zur Folge “Es gibt viele hierarchische Restriktionen, die die Organisation daran hindern, die Effekte des Frameworks zu ernten.” “Durch das Arbeitswesen, das geschaffen wurde, werden die Leute davon abgehalten werden, nach den Regeln des Frameworks zu leben.” “Dem ganzen System wird kein Vertrauen gegeben, weil sich die Effekte keiner vorstellen kann.” +++ Links zur Folge Bestellt das Buch von Alisa Stolze und Jan Fischbach bereits jetzt schon vor: Teamleitung konkret Lean auf gut Deutsch Band 1 Agile Competitors and Virtual Organizations +++ Fragen, Anregungen oder Themenwünsche? Kontaktiert uns gern via LinkedIn: Zusammen mehr Elefant Bewerbt euch für ein Erstgespräch: www.scrumevents.de www.nadjaboehlmann.com Alisa Stolze | Nadja Böhlmann | Musik “Zusammen mehr Elefant Theme Song” von Philipp Körner “Zusammen mehr Elefant” ist eine Produktion von Alisa Stolze und Nadja Böhlmann Postproduktion Nadja Böhlmann +++ Bei unseren Buchempfehlungen handelt es sich um einen Werbe- oder einen Affiliate-Link. Wenn du auf diesen Link klickst, etwas kaufst, erhalten wir (je nach Anbieter) eine Provision. Dir entstehen dadurch keine Mehrkosten und du unterstützt unser Podcast-Projekt. Wir danken dir für deinen Support!

Drei neue Bücher über Erinnerung, Poesie und Geschichte – von Quadflieg, Kuchenmeister und Kracht.

§LIT - Bewusst Publizieren 10Vertragsbeendigung - §LIT - Bewusst Publizieren 10Uwe Kullnick spricht mit der Anwältin Nadja Kobler-Ringler  und dem Autor Dieter R. Fuchs(Hördauer ca. 61 Minuten)Als Autor, Selfpublisher, Blogger, Influencer oder Verleger ist es wichtig, sich mit rechtlichen Aspekten auseinanderzusetzen, um mögliche Probleme zu vermeiden. Mit etwas Wissen und Vorsicht kann man diesen Herausforderungen erfolgreich begegnen.In diesem Blog werde ich mit Dr. Nadja Kobler-Ringler, einer selbständigen Anwältin, Autorin sowie Lektorin, über die rechtlichen Probleme sprechen, denen man begegnen kann, und wie man ihnen vorbeugen oder mit ihnen umgehen kann, falls sie bereits aufgetreten sind. In diesem Sinn werden wir regelmäßig Probleme diskutieren und nach Lösungen suchen.Ihr könnt uns auch Themen vorschlagen, die euch interessieren und über die ich mit Nadja sprechen kann. Wir sind auch daran interessiert, von Euren Erfahrungen zu hören und sie in unseren Sendungen zu diskutieren.Hier sind einige der Themen, über die wir demnächst sprechen möchten:Ist es ok, ein Buch mit Hilfe von Künstlicher Intelligenz zu schreiben?Kann ich jeden Verlagsvertrag bedenkenlos unterschreiben?Was ist, wenn das Lektorat mein Werk total „zerstört“? Das Cover „nix is“ und der Satz auch zu wünschen übrig lässt?Rechtliche Aspekte von Self-Publishing , Verlags-Publishing und MischformenEin Buch ist ein Spiegelbild der Realität. Darf es das sein? Was gilt es zu beachten?Wie mache ich eigentlich rechtlich gute Werbung für meine Veröffentlichung?Wie sieht es mit Lesungshonoraren aus und welche Rechnungsmerkmale muss man beachten?Schreibwettbewerbe – sind die nur ein Traum oder kann man wirklich erfolgreich sein?Wie gestaltet man seinen eigenen Web-Auftritt, vor allem: was muss ins Impressum und in die Datenschutzerklärung?Was tun bei negativen Rezensionen oder gar Abmahnungen?Coaching und Weiterbildung – worauf sollte ich achten?Manchmal endet jedoch alles im Streit und man möchte den Rückzug aus einem Vertrag antreten. Da ist es wichtig zu wissen, wie man am besten vorgeht.An wen wendet man sich bei einer Abmahnung und wie reagiert man darauf?ACHTUNG: Diese Sendung ersetzt keine persönliche Rechtsberatung!VertragsbeendigungenDu würdest gern die bisherigen Folgen hören, dann schau doch mal hierhin.Dr. Nadja Kobler-Ringler lebt mit Ehemann, Sohn, Büchern, Texten und tausenden noch ungeschriebenen Wörtern im Bonner Umland. 2024 feiert sie das zwanzigjährige Bestehen ihrer Rechtsanwaltskanzlei, zu der seit rund fünfzehn Jahren auch ein breitgefächertes Lektoratsangebot gehört. Die gelernte Bankkauffrau und wissenschaftliche Mitarbeiterin in der qualitativen Sozialforschung publiziert auch selber gerne: seit 2006 Schul- und Fachbücher, dazu Online-Kurse und inzwischen auch belletristische Werke. Die laienzugewandte Wissensvermittlung, am besten mit einer Prise Humor versehen, ist ihr ein wichtiges Anliegen, für das sie schon Mal "Torten und Schnittchen" oder auch "den gefährlichsten Kaffee des Rechtswesens" bemüht.Dr. rer. nat. Uwe Kullnick, ist Neurophysiologe und seit 2012 als freier Schriftsteller und Journalist tätig. Zwischen 2014 und 2019 war er Vorsitzender beim Freien Deutschen Autorenverband Bayern (FDA). Außerdem war er von 2015 bis 2017 Präsident des FDA-Bundesverbandes. Er ist Autor und Herausgeber zahlreicher Bücher. Seit 2015 leitet er das Literatur (Podcast) Radio Hörbahn (früher Literatur Radio Bayern). Er lebt seit 2000 in München.Wenn dir die Sendung  gefallen hat, hör doch mal hier hinein.Komm  doch mal zu unseren Live-Sendungen in Schwabing oder im Gasteig.Redaktion und Realisation Uwe Kullnick

Special Guest Nadja Fromm www.fromm-consulting.com In this episode of The Podcast Profits Unleashed, I sit down with Nadja Fromm, a seasoned marketing coach and former global brand strategist for household names like Colgate, Kraft Heinz, and Weber. Nadja shares her powerful journey from corporate burnout to building her own business where she helps driven misfits and corporate escapees launch bold, profitable startups. We unpack the real reasons so many startups never get off the ground—and it's not lack of passion. It's the absence of strategy. Nadja breaks down her signature three-step process that every aspiring entrepreneur needs: ✅ Define Your Ideal Client Profile (ICP) – Know exactly who you're serving, their urgent problems, and whether they can invest in your solution. ✅ Craft a Clear & Irresistible Offer – Tailor your product or service so that it speaks directly to your dream client. ✅ Develop Messaging That Converts – Communicate in a way that makes your ideal client say, “Finally, someone gets me.” I couldn't help but relate—if only I had this clarity when I was starting out, I would've saved myself a lot of time (and headaches!). We also tackled one of the biggest entrepreneurial traps: perfectionism disguised as procrastination. Nadja reminds us that action beats perfection every time. Stop waiting to feel "ready." You don't need to master every business function. Just focus on your zone of genius and bring in expert help where needed. The most powerful insight? Shifting from employee mindset to entrepreneur mindset. In corporate life, we're trained to wait for permission. But in entrepreneurship, no one's coming. It's up to us to trust our gut and take the leap. If you're tired of the Monday-to-Friday misery loop and know you're made for more, Nadja's message is your wake-up call.

In this episode Gudrun speaks with Nadja Klein and Moussa Kassem Sbeyti who work at the Scientific Computing Center (SCC) at KIT in Karlsruhe. Since August 2024, Nadja has been professor at KIT leading the research group Methods for Big Data (MBD) there. She is an Emmy Noether Research Group Leader, and a member of AcademiaNet, and Die Junge Akademie, among others. In 2025, Nadja was awarded the Committee of Presidents of Statistical Societies (COPSS) Emerging Leader Award (ELA). The COPSS ELA recognizes early career statistical scientists who show evidence of and potential for leadership and who will help shape and strengthen the field. She finished her doctoral studies in Mathematics at the Universität Göttingen before conducting a postdoc at the University of Melbourne as a Feodor-Lynen fellow by the Alexander von Humboldt Foundation. Afterwards she was a Professor for Statistics and Data Science at the Humboldt-Universität zu Berlin before joining KIT. Moussa joined Nadja's lab as an associated member in 2023 and later as a postdoctoral researcher in 2024. He pursued a PhD at the TU Berlin while working as an AI Research Scientist at the Continental AI Lab in Berlin. His research primarily focuses on deep learning, developing uncertainty-based automated labeling methods for 2D object detection in autonomous driving. Prior to this, Moussa earned his M.Sc. in Mechatronics Engineering from the TU Darmstadt in 2021. The research of Nadja and Moussa is at the intersection of statistics and machine learning. In Nadja's MBD Lab the research spans theoretical analysis, method development and real-world applications. One of their key focuses is Bayesian methods, which allow to incorporate prior knowledge, quantify uncertainties, and bring insights to the “black boxes” of machine learning. By fusing the precision and reliability of Bayesian statistics with the adaptability of machine and deep learning, these methods aim to leverage the best of both worlds. The KIT offers a strong research environment, making it an ideal place to continue their work. They bring new expertise that can be leveraged in various applications and on the other hand Helmholtz offers a great platform in that respect to explore new application areas. For example Moussa decided to join the group at KIT as part of the Helmholtz Pilot Program Core-Informatics at KIT (KiKIT), which is an initiative focused on advancing fundamental research in informatics within the Helmholtz Association. Vision models typically depend on large volumes of labeled data, but collecting and labeling this data is both expensive and prone to errors. During his PhD, his research centered on data-efficient learning using uncertainty-based automated labeling techniques. That means estimating and using the uncertainty of models to select the helpful data samples to train the models to label the rest themselves. Now, within KiKIT, his work has evolved to include knowledge-based approaches in multi-task models, eg. detection and depth estimation — with the broader goal of enabling the development and deployment of reliable, accurate vision systems in real-world applications. Statistics and data science are fascinating fields, offering a wide variety of methods and applications that constantly lead to new insights. Within this domain, Bayesian methods are especially compelling, as they enable the quantification of uncertainty and the incorporation of prior knowledge. These capabilities contribute to making machine learning models more data-efficient, interpretable, and robust, which are essential qualities in safety-critical domains such as autonomous driving and personalized medicine. Nadja is also enthusiastic about the interdisciplinarity of the subject — repeatedly changing the focus from mathematics to economics to statistics to computer science. The combination of theoretical fundamentals and practical applications makes statistics an agile and important field of research in data science. From a deep learning perspective, the focus is on making models both more efficient and more reliable when dealing with large-scale data and complex dependencies. One way to do this is by reducing the need for extensive labeled data. They also work on developing self-aware models that can recognize when they're unsure and even reject their own predictions when necessary. Additionally, they explore model pruning techniques to improve computational efficiency, and specialize in Bayesian deep learning, allowing machine learning models to better handle uncertainty and complex dependencies. Beyond the methods themselves, they also contribute by publishing datasets that help push the development of next-generation, state-of-the-art models. The learning methods are applied across different domains such as object detection, depth estimation, semantic segmentation, and trajectory prediction — especially in the context of autonomous driving and agricultural applications. As deep learning technologies continue to evolve, they're also expanding into new application areas such as medical imaging. Unlike traditional deep learning, Bayesian deep learning provides uncertainty estimates alongside predictions, allowing for more principled decision-making and reducing catastrophic failures in safety-critical application. It has had a growing impact in several real-world domains where uncertainty really matters. Bayesian learning incorporates prior knowledge and updates beliefs as new data comes in, rather than relying purely on data-driven optimization. In healthcare, for example, Bayesian models help quantify uncertainty in medical diagnoses, which supports more risk-aware treatment decisions and can ultimately lead to better patient outcomes. In autonomous vehicles, Bayesian models play a key role in improving safety. By recognizing when the system is uncertain, they help capture edge cases more effectively, reduce false positives and negatives in object detection, and navigate complex, dynamic environments — like bad weather or unexpected road conditions — more reliably. In finance, Bayesian deep learning enhances both risk assessment and fraud detection by allowing the system to assess how confident it is in its predictions. That added layer of information supports more informed decision-making and helps reduce costly errors. Across all these areas, the key advantage is the ability to move beyond just accuracy and incorporate trust and reliability into AI systems. Bayesian methods are traditionally more expensive, but modern approximations (e.g., variational inference or last layer inference) make them feasible. Computational costs depend on the problem — sometimes Bayesian models require fewer data points to achieve better performance. The trade-off is between interpretability and computational efficiency, but hardware improvements are helping bridge this gap. Their research on uncertainty-based automated labeling is designed to make models not just safer and more reliable, but also more efficient. By reducing the need for extensive manual labeling, one improves the overall quality of the dataset while cutting down on human effort and potential labeling errors. Importantly, by selecting informative samples, the model learns from better data — which means it can reach higher performance with fewer training examples. This leads to faster training and better generalization without sacrificing accuracy. They also focus on developing lightweight uncertainty estimation techniques that are computationally efficient, so these benefits don't come with heavy resource demands. In short, this approach helps build models that are more robust, more adaptive to new data, and significantly more efficient to train and deploy — which is critical for real-world systems where both accuracy and speed matter. Statisticians and deep learning researchers often use distinct methodologies, vocabulary and frameworks, making communication and collaboration challenging. Unfortunately, there is a lack of Interdisciplinary education: Traditional academic programs rarely integrate both fields. It is necessary to foster joint programs, workshops, and cross-disciplinary training can help bridge this gap. From Moussa's experience coming through an industrial PhD, he has seen how many industry settings tend to prioritize short-term gains — favoring quick wins in deep learning over deeper, more fundamental improvements. To overcome this, we need to build long-term research partnerships between academia and industry — ones that allow for foundational work to evolve alongside practical applications. That kind of collaboration can drive more sustainable, impactful innovation in the long run, something we do at methods for big data. Looking ahead, one of the major directions for deep learning in the next five to ten years is the shift toward trustworthy AI. We're already seeing growing attention on making models more explainable, fair, and robust — especially as AI systems are being deployed in critical areas like healthcare, mobility, and finance. The group also expect to see more hybrid models — combining deep learning with Bayesian methods, physics-based models, or symbolic reasoning. These approaches can help bridge the gap between raw performance and interpretability, and often lead to more data-efficient solutions. Another big trend is the rise of uncertainty-aware AI. As AI moves into more high-risk, real-world applications, it becomes essential that systems understand and communicate their own confidence. This is where uncertainty modeling will play a key role — helping to make AI not just more powerful, but also more safe and reliable. The lecture "Advanced Bayesian Data Analysis" covers fundamental concepts in Bayesian statistics, including parametric and non-parametric regression, computational techniques such as MCMC and variational inference, and Bayesian priors for handling high-dimensional data. Additionally, the lecturers offer a Research Seminar on Selected Topics in Statistical Learning and Data Science. The workgroup offers a variety of Master's thesis topics at the intersection of statistics and deep learning, focusing on Bayesian modeling, uncertainty quantification, and high-dimensional methods. Current topics include predictive information criteria for Bayesian models and uncertainty quantification in deep learning. Topics span theoretical, methodological, computational and applied projects. Students interested in rigorous theoretical and applied research are encouraged to explore our available projects and contact us for further details. The general advice of Nadja and Moussa for everybody interested to enter the field is: "Develop a strong foundation in statistical and mathematical principles, rather than focusing solely on the latest trends. Gain expertise in both theory and practical applications, as real-world impact requires a balance of both. Be open to interdisciplinary collaboration. Some of the most exciting and meaningful innovations happen at the intersection of fields — whether that's statistics and deep learning, or AI and domain-specific areas like medicine or mobility. So don't be afraid to step outside your comfort zone, ask questions across disciplines, and look for ways to connect different perspectives. That's often where real breakthroughs happen. With every new challenge comes an opportunity to innovate, and that's what keeps this work exciting. We're always pushing for more robust, efficient, and trustworthy AI. And we're also growing — so if you're a motivated researcher interested in this space, we'd love to hear from you." Literature and further information Webpage of the group G. Nuti, Lluis A.J. Rugama, A.-I. Cross: Efficient Bayesian Decision Tree Algorithm, arxiv Jan 2019 Wikipedia: Expected value of sample information C. Howson & P. Urbach: Scientific Reasoning: The Bayesian Approach (3rd ed.). Open Court Publishing Company. ISBN 978-0-8126-9578-6, 2005. A.Gelman e.a.: Bayesian Data Analysis Third Edition. Chapman and Hall/CRC. ISBN 978-1-4398-4095-5, 2013. Yu, Angela: Introduction to Bayesian Decision Theory cogsci.ucsd.edu, 2013. Devin Soni: Introduction to Bayesian Networks, 2015. G. Nuti, L. Rugama, A.-I. Cross: Efficient Bayesian Decision Tree Algorithm, arXiv:1901.03214 stat.ML, 2019. M. Carlan, T. Kneib and N. Klein: Bayesian conditional transformation models, Journal of the American Statistical Association, 119(546):1360-1373, 2024. N. Klein: Distributional regression for data analysis , Annual Review of Statistics and Its Application, 11:321-346, 2024 C.Hoffmann and N.Klein: Marginally calibrated response distributions for end-to-end learning in autonomous driving, Annals of Applied Statistics, 17(2):1740-1763, 2023 Kassem Sbeyti, M., Karg, M., Wirth, C., Klein, N., & Albayrak, S. (2024, September). Cost-Sensitive Uncertainty-Based Failure Recognition for Object Detection. In Uncertainty in Artificial Intelligence (pp. 1890-1900). PMLR. M. K. Sbeyti, N. Klein, A. Nowzad, F. Sivrikaya and S. Albayrak: Building Blocks for Robust and Effective Semi-Supervised Real-World Object Detection pdf. To appear in Transactions on Machine Learning Research, 2025 Podcasts Learning, Teaching, and Building in the Age of AI Ep 42 of Vanishing Gradient, Jan 2025. O. Beige, G. Thäter: Risikoentscheidungsprozesse, Gespräch im Modellansatz Podcast, Folge 193, Fakultät für Mathematik, Karlsruher Institut für Technologie (KIT), 2019.

Jeder Mensch ist ein komplexes System aus Erfahrungen, Erinnerungen und Gegenwart. Küchenmeisters Poem ist ein schwebender Text, der die Schauplätze ansatzlos wechselt und seiner eigenen Logik folgt.

Einigkeit bei Reza, Dissens bei Mosebach – Cornelia Geißler, Beate Tröger und Denis Scheck diskutierten in der Heidelberger Stadtbibliothek vier auf der SWR Bestenliste im Mai verzeichneten Werke. Auf dem Programm standen: Nadja Küchenmeisters Langgedicht „Der Große Wagen“ (Schöffling), Antje Rávik Strubels Roman „Der Einfluss der Fasane“ (S. Fischer), Martin Mosebachs Roman „Die Richtige“ (dtv) und Yasmina Rezas Kurzprosa „Die Rückseite des Lebens“ (Hanser). Es geht in den Büchern um Erinnerungsschichten, die sich übereinanderlegen und ein Innehalten einfordern, um Sinnkrisen in mediale Erregungswellen, um das sprachgemalte Portrait eines übergriffigen Kunstmalers und um existentielle Kippmomente, die zu einem Verbrechen oder zur Erkenntnis führen. Die Jurymitglieder lobten einhellig die Sprachkunst Yasmina Rezas, die sich im genauen Beobachten und in der literarischen Offenheit gegenüber den Eigenheiten auf der „Rückseite des Lebens“ zeigt. Äußerst kontrovers wurde Martin Mosebachs Roman „Die Richtige“ diskutiert. Denis Scheck ist von der Sprachmacht des Autors begeistert, die ihn an Thomas Mann erinnere. Beate Tröger und Cornelia Geißler kritisieren den „altbackenen“ Stil Mosebachs, in dem eindimensionale und regressive Frauenfiguren geschildert werden. Während Strubels Mediensatire „Der Einfluss der Fasane“ als satirisches und nicht durchweg überzeugendes Nebenwerk der Buchpreisträgerin einsortiert wurde, fand die Jury bei der Analyse der formschönen Lyrik Nadja Küchenmeisters wieder zusammen. In „Der Große Wagen“ geht es nicht nur um ein literaturberühmtes Sternbild, sondern auch um die Frage, wie die Sprache im sich ständig drehenden Erinnerungskreislauf zum Fixstern werden kann. Aus den vier Büchern lasen Isabelle Demey und Dominik Eisele. Durch den Abend führte Carsten Otte.

In this episode Gudrun speaks with Nadja Klein and Moussa Kassem Sbeyti who work at the Scientific Computing Center (SCC) at KIT in Karlsruhe. Since August 2024, Nadja has been professor at KIT leading the research group Methods for Big Data (MBD) there. She is an Emmy Noether Research Group Leader, and a member of AcademiaNet, and Die Junge Akademie, among others. In 2025, Nadja was awarded the Committee of Presidents of Statistical Societies (COPSS) Emerging Leader Award (ELA). The COPSS ELA recognizes early career statistical scientists who show evidence of and potential for leadership and who will help shape and strengthen the field. She finished her doctoral studies in Mathematics at the Universität Göttingen before conducting a postdoc at the University of Melbourne as a Feodor-Lynen fellow by the Alexander von Humboldt Foundation. Afterwards she was a Professor for Statistics and Data Science at the Humboldt-Universität zu Berlin before joining KIT. Moussa joined Nadja's lab as an associated member in 2023 and later as a postdoctoral researcher in 2024. He pursued a PhD at the TU Berlin while working as an AI Research Scientist at the Continental AI Lab in Berlin. His research primarily focuses on deep learning, developing uncertainty-based automated labeling methods for 2D object detection in autonomous driving. Prior to this, Moussa earned his M.Sc. in Mechatronics Engineering from the TU Darmstadt in 2021. The research of Nadja and Moussa is at the intersection of statistics and machine learning. In Nadja's MBD Lab the research spans theoretical analysis, method development and real-world applications. One of their key focuses is Bayesian methods, which allow to incorporate prior knowledge, quantify uncertainties, and bring insights to the “black boxes” of machine learning. By fusing the precision and reliability of Bayesian statistics with the adaptability of machine and deep learning, these methods aim to leverage the best of both worlds. The KIT offers a strong research environment, making it an ideal place to continue their work. They bring new expertise that can be leveraged in various applications and on the other hand Helmholtz offers a great platform in that respect to explore new application areas. For example Moussa decided to join the group at KIT as part of the Helmholtz Pilot Program Core-Informatics at KIT (KiKIT), which is an initiative focused on advancing fundamental research in informatics within the Helmholtz Association. Vision models typically depend on large volumes of labeled data, but collecting and labeling this data is both expensive and prone to errors. During his PhD, his research centered on data-efficient learning using uncertainty-based automated labeling techniques. That means estimating and using the uncertainty of models to select the helpful data samples to train the models to label the rest themselves. Now, within KiKIT, his work has evolved to include knowledge-based approaches in multi-task models, eg. detection and depth estimation — with the broader goal of enabling the development and deployment of reliable, accurate vision systems in real-world applications. Statistics and data science are fascinating fields, offering a wide variety of methods and applications that constantly lead to new insights. Within this domain, Bayesian methods are especially compelling, as they enable the quantification of uncertainty and the incorporation of prior knowledge. These capabilities contribute to making machine learning models more data-efficient, interpretable, and robust, which are essential qualities in safety-critical domains such as autonomous driving and personalized medicine. Nadja is also enthusiastic about the interdisciplinarity of the subject — repeatedly changing the focus from mathematics to economics to statistics to computer science. The combination of theoretical fundamentals and practical applications makes statistics an agile and important field of research in data science. From a deep learning perspective, the focus is on making models both more efficient and more reliable when dealing with large-scale data and complex dependencies. One way to do this is by reducing the need for extensive labeled data. They also work on developing self-aware models that can recognize when they're unsure and even reject their own predictions when necessary. Additionally, they explore model pruning techniques to improve computational efficiency, and specialize in Bayesian deep learning, allowing machine learning models to better handle uncertainty and complex dependencies. Beyond the methods themselves, they also contribute by publishing datasets that help push the development of next-generation, state-of-the-art models. The learning methods are applied across different domains such as object detection, depth estimation, semantic segmentation, and trajectory prediction — especially in the context of autonomous driving and agricultural applications. As deep learning technologies continue to evolve, they're also expanding into new application areas such as medical imaging. Unlike traditional deep learning, Bayesian deep learning provides uncertainty estimates alongside predictions, allowing for more principled decision-making and reducing catastrophic failures in safety-critical application. It has had a growing impact in several real-world domains where uncertainty really matters. Bayesian learning incorporates prior knowledge and updates beliefs as new data comes in, rather than relying purely on data-driven optimization. In healthcare, for example, Bayesian models help quantify uncertainty in medical diagnoses, which supports more risk-aware treatment decisions and can ultimately lead to better patient outcomes. In autonomous vehicles, Bayesian models play a key role in improving safety. By recognizing when the system is uncertain, they help capture edge cases more effectively, reduce false positives and negatives in object detection, and navigate complex, dynamic environments — like bad weather or unexpected road conditions — more reliably. In finance, Bayesian deep learning enhances both risk assessment and fraud detection by allowing the system to assess how confident it is in its predictions. That added layer of information supports more informed decision-making and helps reduce costly errors. Across all these areas, the key advantage is the ability to move beyond just accuracy and incorporate trust and reliability into AI systems. Bayesian methods are traditionally more expensive, but modern approximations (e.g., variational inference or last layer inference) make them feasible. Computational costs depend on the problem — sometimes Bayesian models require fewer data points to achieve better performance. The trade-off is between interpretability and computational efficiency, but hardware improvements are helping bridge this gap. Their research on uncertainty-based automated labeling is designed to make models not just safer and more reliable, but also more efficient. By reducing the need for extensive manual labeling, one improves the overall quality of the dataset while cutting down on human effort and potential labeling errors. Importantly, by selecting informative samples, the model learns from better data — which means it can reach higher performance with fewer training examples. This leads to faster training and better generalization without sacrificing accuracy. They also focus on developing lightweight uncertainty estimation techniques that are computationally efficient, so these benefits don't come with heavy resource demands. In short, this approach helps build models that are more robust, more adaptive to new data, and significantly more efficient to train and deploy — which is critical for real-world systems where both accuracy and speed matter. Statisticians and deep learning researchers often use distinct methodologies, vocabulary and frameworks, making communication and collaboration challenging. Unfortunately, there is a lack of Interdisciplinary education: Traditional academic programs rarely integrate both fields. It is necessary to foster joint programs, workshops, and cross-disciplinary training can help bridge this gap. From Moussa's experience coming through an industrial PhD, he has seen how many industry settings tend to prioritize short-term gains — favoring quick wins in deep learning over deeper, more fundamental improvements. To overcome this, we need to build long-term research partnerships between academia and industry — ones that allow for foundational work to evolve alongside practical applications. That kind of collaboration can drive more sustainable, impactful innovation in the long run, something we do at methods for big data. Looking ahead, one of the major directions for deep learning in the next five to ten years is the shift toward trustworthy AI. We're already seeing growing attention on making models more explainable, fair, and robust — especially as AI systems are being deployed in critical areas like healthcare, mobility, and finance. The group also expect to see more hybrid models — combining deep learning with Bayesian methods, physics-based models, or symbolic reasoning. These approaches can help bridge the gap between raw performance and interpretability, and often lead to more data-efficient solutions. Another big trend is the rise of uncertainty-aware AI. As AI moves into more high-risk, real-world applications, it becomes essential that systems understand and communicate their own confidence. This is where uncertainty modeling will play a key role — helping to make AI not just more powerful, but also more safe and reliable. The lecture "Advanced Bayesian Data Analysis" covers fundamental concepts in Bayesian statistics, including parametric and non-parametric regression, computational techniques such as MCMC and variational inference, and Bayesian priors for handling high-dimensional data. Additionally, the lecturers offer a Research Seminar on Selected Topics in Statistical Learning and Data Science. The workgroup offers a variety of Master's thesis topics at the intersection of statistics and deep learning, focusing on Bayesian modeling, uncertainty quantification, and high-dimensional methods. Current topics include predictive information criteria for Bayesian models and uncertainty quantification in deep learning. Topics span theoretical, methodological, computational and applied projects. Students interested in rigorous theoretical and applied research are encouraged to explore our available projects and contact us for further details. The general advice of Nadja and Moussa for everybody interested to enter the field is: "Develop a strong foundation in statistical and mathematical principles, rather than focusing solely on the latest trends. Gain expertise in both theory and practical applications, as real-world impact requires a balance of both. Be open to interdisciplinary collaboration. Some of the most exciting and meaningful innovations happen at the intersection of fields — whether that's statistics and deep learning, or AI and domain-specific areas like medicine or mobility. So don't be afraid to step outside your comfort zone, ask questions across disciplines, and look for ways to connect different perspectives. That's often where real breakthroughs happen. With every new challenge comes an opportunity to innovate, and that's what keeps this work exciting. We're always pushing for more robust, efficient, and trustworthy AI. And we're also growing — so if you're a motivated researcher interested in this space, we'd love to hear from you." Literature and further information Webpage of the group G. Nuti, Lluis A.J. Rugama, A.-I. Cross: Efficient Bayesian Decision Tree Algorithm, arxiv Jan 2019 Wikipedia: Expected value of sample information C. Howson & P. Urbach: Scientific Reasoning: The Bayesian Approach (3rd ed.). Open Court Publishing Company. ISBN 978-0-8126-9578-6, 2005. A.Gelman e.a.: Bayesian Data Analysis Third Edition. Chapman and Hall/CRC. ISBN 978-1-4398-4095-5, 2013. Yu, Angela: Introduction to Bayesian Decision Theory cogsci.ucsd.edu, 2013. Devin Soni: Introduction to Bayesian Networks, 2015. G. Nuti, L. Rugama, A.-I. Cross: Efficient Bayesian Decision Tree Algorithm, arXiv:1901.03214 stat.ML, 2019. M. Carlan, T. Kneib and N. Klein: Bayesian conditional transformation models, Journal of the American Statistical Association, 119(546):1360-1373, 2024. N. Klein: Distributional regression for data analysis , Annual Review of Statistics and Its Application, 11:321-346, 2024 C.Hoffmann and N.Klein: Marginally calibrated response distributions for end-to-end learning in autonomous driving, Annals of Applied Statistics, 17(2):1740-1763, 2023 Kassem Sbeyti, M., Karg, M., Wirth, C., Klein, N., & Albayrak, S. (2024, September). Cost-Sensitive Uncertainty-Based Failure Recognition for Object Detection. In Uncertainty in Artificial Intelligence (pp. 1890-1900). PMLR. M. K. Sbeyti, N. Klein, A. Nowzad, F. Sivrikaya and S. Albayrak: Building Blocks for Robust and Effective Semi-Supervised Real-World Object Detection pdf. To appear in Transactions on Machine Learning Research, 2025 Podcasts Learning, Teaching, and Building in the Age of AI Ep 42 of Vanishing Gradient, Jan 2025. O. Beige, G. Thäter: Risikoentscheidungsprozesse, Gespräch im Modellansatz Podcast, Folge 193, Fakultät für Mathematik, Karlsruher Institut für Technologie (KIT), 2019.

Did you enjoy this episode? Text us your thoughts and be sure to include the episode name.As the first wave of companies report under the EU's Corporate Sustainability Reporting Directive (CSRD), PwC analyzed corporate sustainability statements. In this week's podcast, host Heather Horn welcomes back Nadja Picard, PwC's Global Reporting Leader, to dive into the key findings from more than 250 published reports. They explore emerging trends, surprising gaps, and what these insights mean for companies yet to report. In this episode, we discuss: 01:47 – Overview of PwC's analysis of 250+ CSRD reports 04:29 – Key findings: variability in disclosures and early trends 08:49 – Most common material topics and sector-specific patterns 18:35 – Entity-specific disclosures: cybersecurity, AI, and tax 24:44 – Climate reporting practices and assurance observations 33:26 – Practical guidance for companies preparing to report under CSRD For more on PwC's analysis of 250 corporate sustainability statements, see our publication In search of sustainable value: The CSRD journey begins. Looking for more on the investor survey referenced in today's podcast? Check out PwC's 2024 Global Investor Survey and PwC's global investor survey: What's top of mind for 2025? About our guest Nadja Picard is PwC's Global Reporting Leader. In this role, she leads PwC's global initiative to help clients transform their corporate reporting to meet investor and stakeholder demands for trusted and assured reporting beyond financial reporting. Nadja also advises companies on the accounting, corporate reporting, and investor relations requirements in advance of capital markets transactions, especially IPOs.   About our host Heather Horn is the PwC National Office Sustainability and Thought Leader, responsible for developing our communications strategy and conveying firm positions on accounting, financial reporting, and sustainability matters. In addition, she is part of PwC's global sustainability leadership team, developing interpretive guidance and consulting with companies as they transition from voluntary to mandatory sustainability reporting. She is also the engaging host of PwC's accounting and reporting weekly podcast and quarterly webcast series. Transcripts available upon request for individuals who may need a disability-related accommodation. Please send requests to us_podcast@pwc.com. 

Einschlafen, alleine in der Spielgruppe bleiben, der Übertritt in den Kindergarten, zum ersten Mal in ein Schullager gehen – in all diesen Situationen sind unsere Kinder mit Trennung konfrontiert, der kindlichen Herausforderung schlechthin. Wie können wir unsere Kinder natürlich durch diese Trennungserfahrungen hindurch begleiten? Welche Möglichkeiten haben wir, um sie zu unterstützen? Was können wir Kindern zumuten? Was brauchen WIR Eltern hierfür? Und was, wenn die ganze Familie mit Trennung konfrontiert ist, bspw. weil die Eltern sich trennen?Darüber und über noch viel mehr unterhalte ich mich mit meiner Kollegin und Naturheilpraktikerin Nadja Röthlisberger. Sie bringt ihr naturheilkundliches Wissen ein, ich meine bindungsbasierte Perspektive – in der Hoffnung, dass die Schnittmenge dir weiterhilft!

Im Change nicht nur Entscheidungen verkünden, sondern die Mitarbeiter:innen beteiligen? Klingt gut! Aber welche Stufen und Formate der Beteiligung gibt es und wann wenden wir welche an? Das beleuchten Nadja und Alisa in dieser Folge ganz konkret. Denn Entscheidungen müssen nicht schwarz oder weiß getroffen werden. Graustufen sind erlaubt und erwünscht. Viel Spaß! +++ Zitate zur Folge “Veränderungen in Unternehmen leben natürlich vom Mitmachen.” “Irgendeine Kleinigkeit in unserem Schutzraum wird geändert und es entsteht Unsicherheit.” “Aber ich habe doch schon so viel kommuniziert!” “Die Zeit, bis wir ohne die Expertinnen und Experten zu einer guten Lösung gekommen sind, kann auch lang sein.” “Agilität heißt, die zu fragen, die es betrifft.” +++ Links zur Folge Agile Coach Camp Cologne Global Scrum Gathering München Workflow Analytica Scrum Day Delegation Poker Lean auf gut Deutsch Band 1 Agile Competitors and Virtual Organizations +++ Fragen, Anregungen oder Themenwünsche? Kontaktiert uns gern via LinkedIn: Zusammen mehr Elefant Bewerbt euch für ein Erstgespräch: www.scrumevents.de www.nadjaboehlmann.com Alisa Stolze | Nadja Böhlmann | Musik “Zusammen mehr Elefant Theme Song” von Philipp Körner “Zusammen mehr Elefant” ist eine Produktion von Alisa Stolze und Nadja Böhlmann Postproduktion Nadja Böhlmann +++ Bei unseren Buchempfehlungen handelt es sich um einen Werbe- oder einen Affiliate-Link. Wenn du auf diesen Link klickst, etwas kaufst, erhalten wir (je nach Anbieter) eine Provision. Dir entstehen dadurch keine Mehrkosten und du unterstützt unser Podcast-Projekt. Wir danken dir für deinen Support!

Nadja und Anna gehören zum Gründer-Trio von OYESS. Einer Beauty-Marke, die so vieles anders macht, als die "Großen". Sie haben 2020 ihre gut bezahlten Jobs hinter sich gelassen und sich vorgenommen, mit ihren Produkten auch auf die Umwelt zu achten.

Von der OP-Schwester über Literatur zur Kavallerie – diese Woche sitzt Nadja bei Nale auf der Retro-Couch und erzählt von ihrem einzigartigen Weg zu uns. Warum hat sie sich erst nach zehn Jahren bei uns beworben? Wie ist es so, als Fotografin von Set zu Set zu jetsetten? Worüber redet man beim Abendbrot noch, wenn der Ehemann ein Büro weiter sitzt? Wieder mal gehen Nale die Fragen einfach nicht aus. Was es mit Nadjas Angst vor Fischen auf sich hat und ob sie lieber wieder fünf Jahre im OP stehen würde, erfahrt ihr ganz am Ende der Folge.

Nadja Studer - Direktorin - Kultur und Kongresszentrum La Poste - Visp   Losät - losät - losät. Was für än tolle Hengert hä ich mit der Nadja chenu hä. Sie ist Direktorin im Kultur und Kongress Zentrum La Poste in Visp.  Aber sie ist nicht nur dies - nein sie ist : Ehefrau - Mutter - und ja ist in dem was Sie tut sehr fokussiert. Ob man sich mehr als zwei Ziele pro Tag setzen darf und wieso es eh anders kommt als man es geplant hat. Das erfahren wir hier und jetzt in diesem Blogbeitrag und schon bald im Walliser Podcast - Ische Hengert.    Wo fängt man an? Wie fängt Nadja den Tag an? Mal ein bisschen Ortsmarketing und dann mal schnell den Philipp Fankhauser anrufen? Nadja erzählt uns wie ihr Tag abläuft und wir erhalten sehr viel Hintergrund Infos aus ihrem doch sehr bewegten Alltag. Haben Sie gewusst, dass so eine Direktorin mit ihrem sehr guten und tollen Team schon einiges zu erledigen hat. Kommen Künster:innen / Schauspieler aus dem Ausland kümmert man sich um Quellensteuer, ein faires Einkommen, beste Rahmenbedingungen im La Post in Visp.   Sicherheit - sicher auch sein sehr wichtiges Thema damit auch keinem Schauspieler:in eine Lampe oder Lautsprecher auf den Kopf fällt. Dann auch ja Housekeeping-Hygiene-Nothelferkurs-Weiterbildungen-Fachtagungen mit Berufskollegen:inn u.v.m. Ein doch sehr abwechslungsreicher Job und warum auch da gute Walliser Gastrfreundschaft wichtig ist und wir schlussendlich ja dafür bekannt sind die Menschen gut und freundlich zu bewirten.    Genuss kommt in diesem Hengert auch vor ? Ja darf man ein Raclette über die Cholera streichen? Das wäre doch noch was und klar - ihr Lieblingswein ist der Heida aus Visperterminen welcher jeder Haushalt da direkt via Leitung eingespeist bekommt. Chabissss? Ich habe Nadja einen Wein der Kellerei de Canali mitgebracht - Neo Vino - der freinfruchtige Rosé von Marc-André Cina.    Neben eben Genuss nun auch Engagement Social und Umweltschutz und wieso Nadja sich aus dem Vereinsleben verabschiedet hat? Fokussnuss  und ja eben sicher war auch das Verzetteln ein Thema - sie und ihr Team welche ja so viele Aufgaben haben wie eben auch TECHNIK; das Restaurant und die ganzen Anlässe, Mitarbeiter, Löhne, Verantwortung, Offerten, AGB`s, Social Media, Ortsmarketing, Sponsoring, Abo`s verkaufen, Programm planen, Sitzungen und so viel mehr !!  Es geht auch um Frauen in Führungspositionen im Wallis und ja Stand der Dinge.    Dann haben wir noch folgendes besprochen - ein Fallbeispiel : Ehemann sehr sehr günstig abzugeben und wie müssten ich nun vorgehen um mein Theaterstück auf die Bühne vom - ins - ums - ans La Poste zu bringen? Mensch, das gibt ja noch einiges zu tun und kennen sie den Unterschied von zb einer Urauff¨ührung und einer Premiere.  All das und noch viel mehr erfahren sie ja wie schon gesagt im Walliser Podcast-Ische Hengert by Radio Supersaxo und wie geht es da weiter ? Es kommt der Super-Mai mit Events am 5.05 - am 15.5 und am 25.5 - Fendärboerg - Studio Supersaxo - das Buch.     Der nächste Podcast Gast = Walter Schwery von der Buchbinderei Schwery in Brig welches ja das Buch der Bücher drucken und binden tut. Dies in doch einer spannenden Auflage von NUR 22. Stück welche schon ab 222 CHF erhältlich ist. Dieses Projekt sowie das Projekt Studio Supersaxo - die musikalische Eventlocation samt Schreiblabor kann gerne unter www.lokalhelden.ch/supersaxo unterstützt werden.    Wir danke allen für die Unterstützung, fürs teilen, fürs KOMMUNZIZIEREN und kommentieren. Ihr seid die Besten. Danke u häbet Gott oder äu mal eifach nix for Äugäää?   Gruss u Dank   Godi Supersaxo www.radiosupersaxo.net

Mark Polizzotti Buy Command Performance from NYRB https://www.nyrb.com/products/command-performancePre-order Nadja here;https://www.nyrb.com/products/nadjaGateway books Le Schizo et les langues - Louis WolfsonA Void - PerecCathay - Ezra Pound The Philosophy of Translation - Damion SearlsEdwin Frank - Stranger Than FictionDesert Island BooksMarguerite Duras - Writing and The Sailor From Gibraltar The Banquet Years - Roger Shattuck John Ashbery - Poems Zen and The Art of Motorcycle Maintenance - Robert Pirsig 

Zwitscher, Zwitscher, Pieps, Pieps: In dieser Ausgabe von "Zu Gast bei Vera" gehts um Papageien und andere Vögel. Zu Gast ist Nadja Ziegler, Präsidentin der "Arbeitsgemenschaft Papageienschutz. Sie spricht über die Arbeit im Papageienschtuzentrum - mitten in Wien!

The common phrase “life goes on” comes to mind, remembering that dark Sunday, we experienced as told in the last episode. The danger had passed in a day, but it could have still haunted us, with fears of what could have happened.The next morning our girls were glad to see that Daddy was home. He tried to spare them of the scary details that happened the night before. The main thing was, that he was able to get the little boy, back to his parents. It was a normal Monday morning and time for them, to get off to school.We didn't even consider that their teachers, would be seeingThomas' picture in all of the newspapers. Most of them, didn't know anything about our church group, or that Thomas was a pastor. It must have been on the TV news, but we didn't have a television, so we didn't know what other people were going to see.  Thomas' mother Nadja, called in the morning, before seeingthe newspapers. She wanted to know if he was Ok and hear exactly what happened. She was thankful that everyone was safe but she did have the question; “Why would God allow such an evil thing to take place, especially during church.”

"SF & More – Urknalls Kinder - Kosmologie poetisch - Nadja Kobler-Ringler berichtet über ein ganz besonderes Wochenendseminar.(Hördauer ca. 19 min)Das Seminar fand am 1.-3. September 2024 im Physikzentrum  Bad Honnef statt. Hören wir Nadja zu, was sie uns darüber zu erzählen hat.Dr. Nadja Kobler-Ringler (Georgie Severin) lebt mit Ehemann, Sohn, Büchern, Texten und tausenden noch ungeschriebenen Wörtern im Bonner Umland. 2024 feiert sie das zwanzigjährige Bestehen ihrer Rechtsanwaltskanzlei, zu der seit rund fünfzehn Jahren auch ein breitgefächertes Lektoratsangebot gehört. Die gelernte Bankkauffrau und wissenschaftliche Mitarbeiterin in der qualitativen Sozialforschung publiziert auch selber gerne: seit 2006 Schul- und Fachbücher, dazu Online-Kurse und inzwischen auch belletristische Werke. Die laienzugewandte Wissensvermittlung, am besten mit einer Prise Humor versehen, ist ihr ein wichtiges Anliegen, für das sie schon Mal "Torten und Schnittchen" oder auch "den gefährlichsten Kaffee des Rechtswesens" bemüht.Wenn Ihnen dieser Beitrag gefallen hat, hören Sie doch auch einmal hier hineinoder vielleicht in diese SendungKommen Sie doch auch einfach mal zu unseren Live-Aufzeichnungen ins Pixel (Gasteig) oder nach Schwabing Technische Bearbeitung Jupp Stepprath, Redaktion und Realisation Uwe Kullnick

En juillet 1992, dans le quartier Sud de Lille, une petite fille de 4 ans, Nadja, est enlevée au pied de l'immeuble de sa grand-mère par un inconnu. Six jours plus tard, son cadavre à moitié dénudé est retrouvé dans un terrain vague. Les policiers de la PJ de Lille font le rapprochement avec deux affaires similaires : le meurtre de Nathalie, 5 ans, en 1985 et celui de Cathy, 9 ans, en 1990. Distribué par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

En juillet 1992, dans le quartier Sud de Lille, une petite fille de 4 ans, Nadja, est enlevée au pied de l'immeuble de sa grand-mère par un inconnu. Six jours plus tard, son cadavre à moitié dénudé est retrouvé dans un terrain vague. Les policiers de la PJ de Lille font le rapprochement avec deux affaires similaires : le meurtre de Nathalie, 5 ans, en 1985 et celui de Cathy, 9 ans, en 1990. Distribué par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

En juillet 1992, dans le quartier Sud de Lille, une petite fille de 4 ans, Nadja, est enlevée au pied de l'immeuble de sa grand-mère par un inconnu. Six jours plus tard, son cadavre à moitié dénudé est retrouvé dans un terrain vague. Les policiers de la PJ de Lille font le rapprochement avec deux affaires similaires : le meurtre de Nathalie, 5 ans, en 1985 et celui de Cathy, 9 ans, en 1990. Distribué par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Baseado no filme O Que Fazemos nas Sombras, escrito por Jemaine Clement e Taika Waititi, lançado em 2014, What We Do in the Shadows é uma série de televisão que acompanha um divertido coven de vampiros vivendo em Staten Island, na Nova York do século XXI. Filmada como um mockumentary, a série teve seis temporadas e 60 episódios ao todo, apresentando ao mundo personagens icônicos e hilários, como os vampiros tradicionais Nandor, Nadja e Laszlo; o vampiro de energia, Colin Robinson, e claro, Guillermo, um familiar para lá de carismático. Com um humor afiado, situações absurdas e diversos tropos do horror, What We do in the Shadows é uma série imperdível que com certeza vai deixar seus dias mais divertidos. Ainda não se convenceu? Venha com a gente que vamos listar 5 motivos pelos quais você deve dar uma chance para essa série icônica. O Cabana RdM começa agora.O RdMCast é produzido e apresentado por: Gabi Larocca, Thiago Natário e Gabriel Braga.ARTE DA VITRINE: Estúdio GrimESTÚDIO GRIM – Design para conteúdo digitalPortfólio: https://estudiogrim.com.br/Instagram @estudiogrimcontato@estudiogrim.com.brPODCAST EDITADO PORFelipe LourençoSEJA UM(A) APOIADOR(A)Apoie o RdM a produzir mais conteúdo e ganhe recompensas exclusivas!Acesse: https://apoia.se/rdmConheça a Sala dos Apoiadores: https://republicadomedo.com.br/sala-dos-apoiadores/CITADOS NO PROGRAMAO Que Fazemos nas Sombras (2019 - 2024)off topicO que Fazemos nas Sombras (2014)EpisódiosRdMCast #316 – 6 ótimos filmes de horror fora dos EUATem algo para nos contar? Envie um e-mail!contato@republicadomedo.com.brTwitter: @RdMCastInstagram: Republica do Medo

Führungskompetenz entsteht nicht durch Zufall, sondern durch gezielte Vorbereitung. Leider werden aber viel zu wenige Führungskräfte mit ausreichend Vorauf auf ihre neue Rolle vorbereitet. Das Ergebnis: “Führung? Soll lieber jemand anderes machen.” Wie es anders gehen kann und wo ihr euch weitere Inspiration für neue Modelle der Führungsvorbereitung und das Teilen von Führung holen könnt, das teilen Nadja und Alisa in dieser Folge. +++ Zitate zur Folge “Also Führung hat ja heutzutage keinen Wert mehr.” “Wissen ist in vielen Unternehmen immer noch Macht.” “Es gibt ein super Beispiel für ein Vorstandstandem bei Edding.” +++ Links zur Folge Buch “Co-Leadership”, Stefanie Junghans und Janina Schönitz “Die Boss“ Podcast mit Caroline von Kretschmann vom Heidelberger Hof auf Spotify “Die Boss“ Podcast mit Antje von Dewitz von Vaude auf Spotify Lean auf gut Deutsch Band 1 Agile Competitors and Virtual Organizations +++ Fragen, Anregungen oder Themenwünsche? Kontaktiert uns gern via LinkedIn: Zusammen mehr Elefant Bewerbt euch für ein Erstgespräch: www.scrumevents.de www.nadjaboehlmann.com Alisa Stolze | Nadja Böhlmann | Musik “Zusammen mehr Elefant Theme Song” von Philipp Körner “Zusammen mehr Elefant” ist eine Produktion von Alisa Stolze und Nadja Böhlmann Postproduktion Nadja Böhlmann +++ Bei unseren Buchempfehlungen handelt es sich um einen Werbe- oder einen Affiliate-Link. Wenn du auf diesen Link klickst, etwas kaufst, erhalten wir (je nach Anbieter) eine Provision. Dir entstehen dadurch keine Mehrkosten und du unterstützt unser Podcast-Projekt. Wir danken dir für deinen Support!

Zum „Tag des ersten Kontakts“ nehmen euch Nadja von @nerdzika, Marius und Xenia mit auf eine intergalaktische Reise ins faszinierende Star-Trek-Universum! In unserem neuen Format "Ask a Fan" treffen neugierige Newbies auf eingefleischte Fans – und stellen genau die Fragen, die du dich vielleicht auch schon immer gefragt hast: Was macht Star Trek so besonders? Welche Highlights sollte man kennen? Und warum berührt dieses Franchise Generationen? Außerdem gibt es auch in dieser Folge wieder die heißesten News rund um aktuelle Kinohits und brandneue Serienstarts – alles, was Film-Geek-Herzen höherschlagen lässt!

Warum nicht mal Südwest an die schwedische Riviera? - Der ITB-Schwedentalk 2025 mit Rosi, Nadja und Malin über die Region Halland. Kommt Ihr mit? [...] The post D-RR277 – ITB-Talk: Hallå Hallå in Halland! first appeared on Deutsches Reiseradio (German Travelradio).

Aufhelfen – In kaum einem Dienst wird dieses Motto der Caritas-Frühjahrssammlung so sichtbar wie in der Allgemeinen Sozialberatung, dem Kerndienst der Caritas, den es im Bistum Eichstätt an allen sieben Kreisstellen des katholischen Wohlfahrtsverbandes gibt. Auch in Weißenburg. Wo dort Menschen in Not Hilfe bekommen, dazu hat sich Peter Esser mit Sozialarbeiterin Nadja Gschwendtner von der Caritas-Kreisstelle Weißenburg unterhalten.

Was, wenn dein Hund sich plötzlich verändert – oder immer wieder gesundheitliche Probleme hat?Und was, wenn die Ursache… im Napf liegt?In dieser Folge spreche ich mit Nadja von Schnauze bis Pfote. Sie ist Ernährungsberaterin für Hunde – und sie weiß aus eigener Erfahrung, wie tiefgreifend Futter die Gesundheit und das Verhalten eines Hundes beeinflussen kann.Ihr eigener Hund Tango hat sie auf eine intensive Reise mitgenommen, die alles verändert hat.Gemeinsam tauchen wir ein in Themen wie:Woran erkenne ich, dass mein Hund eine besondere Ernährungsform braucht?Was ist der Unterschied zwischen Futtersensibilität, Allergien und Unverträglichkeiten?Welche chronischen Erkrankungen lassen sich über Ernährung positiv beeinflussen?Was bedeutet eigentlich „artgerecht“ – und warum gibt es kein Schema, das auf alle Hunde passt?Nadja erzählt offen von ihren Aha-Momenten, ihrer Arbeit mit Halter*innen – und davon, was wirklich hilft, wenn man sich mit seinem Hund auf die Suche nach Antworten macht.

Episode 164 Chapter 25, Electronic Music in Japan and The Asia-Pacific. Works Recommended from my book, Electronic and Experimental Music  Welcome to the Archive of Electronic Music. This is Thom Holmes. This podcast is produced as a companion to my book, Electronic and Experimental Music, published by Routledge. Each of these episodes corresponds to a chapter in the text and an associated list of recommended works, also called Listen in the text. They provide listening examples of vintage electronic works featured in the text. The works themselves can be enjoyed without the book and I hope that they stand as a chronological survey of important works in the history of electronic music. Be sure to tune-in to other episodes of the podcast where we explore a wide range of electronic music in many styles and genres, all drawn from my archive of vintage recordings. There is a complete playlist for this episode on the website for the podcast. Let's get started with the listening guide to Chapter 25, Electronic Music in Japan and The Asia-Pacific from my book Electronic and Experimental music.   Playlist: ELECTRONIC MUSIC IN JAPAN AND THE ASIA-PACIFIC   Time Track Time Start Introduction –Thom Holmes 01:32 00:00 1.     Toshiro Mayuzumi, “Les Œuvres Pour La Musique Concrète X, Y, Z” (1953). Early work of tape music. 13:50 01:36 2.     Toru Takemitsu, “Vocalism Ai (Love)” (1956). For magnetic tape (condensed from a 72-hour tape montage. 04:11 15:22 3.     Makoto Moroi and Toshiro Mayuzumi, “Shichi No Variation (7 Variations)” (1956). Tape music for sine wave generators. 14:51 19:32 4.     Toru Takemitsu, “Sky, Horse And Death (Concrete-Music)” (1958). For magnetic tape. 03:28 34:24 5.     Group Ongaku, “Object” (1960). Recorded on May 8, 1960, at Mizuno's house. Performers were Chieko Shiomi, Mikio Tojima, Shukou Mizuno, Takehisa Kosugi, Yasunao Tone, and Yumiko Tanno. 07:34 37:50 6.     Toru Takemitsu, “Water Music” (1960). For magnetic tape. 09:41 45:26 7.     Michiko Toyama, “Aoi No Ue (Princess Hollyhock) (Music Drama for Tape and Narration).” For magnetic tape and reader. 07:05 55:06 8.     Group Ongaku, “Metaplasm Part 2” (1961). Live performance, 1961, at Sogetsu Kaikan Hall, Tokyo. Tadashi Mori (conductor), 09:08 01:02:10 9.     Akira Miyoshi (composer), opening excerpt to Ondine (1961). For orchestra, mixed chorus and electronic sounds. 04:32 01:11:18 10.   Joji Yuasa ‎– “Aoi No Ue” (1961). For voice and tape and based on The Tale of Genji written by Murasaki Shikibu in 11th century. Tape parts realized at NHK Electronic music studio. 29:50 01:15:50 11.   Kuniharu Akiyama, “Noh-Miso” (track 1) (1962). Tape music. Hitomi-Za is an experimental puppet theatre group. They had performed in February 13-17 in 1962 at Sogetsu Kaikan Hall. This program was consisted of three parts, and Joji Yuasa, Kuniharu Akiyama and Naozumi Yamamoto composed background sound for each part. 01:44 01:45:40 12.   Toshi Ichiyanagi, “Parallel Music” (1962). Tape music recorded at NHK Electric Music Studio, Tokyo Japan. 09:12 01:47:22 13.   Kuniharu Akiyam, “Demonstration of Nissei Theater” (excerpt) (1963). “Demonstration of Nissei Theater” composed in 1963 for a public demonstration of the stage machinery of the newly opened Nissei Theatre in Tokyo. 05:15 01:56:36 14.   Toshi Ichiyanagi, “Sound Materials for Tinguely” (1963). “Music For Tinguely” was composed at the studio of Sogetsu Art Center. This rare track comprises sound materials used for that composition. 03:31 02:01:54 15.   Joji Yusa, Tracks 1-4 (1963). Incidental music for NHK Radio, based on Andre Breton's "Nadja". "The actual chart of constellations was played by three players (violin, piano, vibraphone) which was supposed as the music score. And birds' voices, electronic sound, sound generated from inside piano, through music concrete technique and constructed at the NHK Electronic Music Studio." 04:24 02:05:26 16.   Maki Ishii, “Hamon-Ripples (For Chamber Ensemble, Violin And Taped Music)” (1965). Tape piece for violin and chamber orchestra. 10:01 02:09:46 17.   Joji Yuasa, “Icon on the Source Of White Noise” (1967). Tape work using white noise as material and designed for a multi-channel system. In the original version, several sound images of various widths (e.g. three loudspeakers playing simultaneously) moved at different speeds around the audience, who were positioned inside the pentagonal loudspeaker arrangement. 12:13 02:19:44 18.   Makoto Moroi, “Shosanke” (1968). Tape work fusing electronic sounds with those of traditional Japanese instruments. 13:20 02:31:54 19.   Minao Shibata, “Improvisation for Electronic Sounds” (1968). Tape piece for electronic sounds. 09:27 02:45:12 20.   Toshi Ichiyanagi, “Love Blinded Ballad (Enka 1969)” from the Opera "From The Works Of Tadanori Yokoo" (1969). Tape collage. 06:57 02:54:40 21.   Toshi Ichiyanagi, Music for Living Space (1969, Bijutsu Shuppan-Sha), composed for the Electric Faculty of Engineering of Kyoto University. Early Computer Music combined with Gregorian chant for Osaka Expo '70. 08:49 03:01:34 22.   Toshiro Mayuzumi, “Mandara” (1969). Tape piece for electronic sound and voices. 10:22 03:10:24 23.   Takehisa Kosugi,  “Catch-Wave” (Mano Dharma '74)” (1974). “Mano-Dharma '74” is an excerpt from a meta-media solo improvisation performed by Takehisa Kosugi. From his notes: “Sounds speeding on lights, light speeding on sounds music between riddles & solutions. ‘the deaf listen to sounds touching, watching.” 26:32 03:20:42 24.   Yoshi Wada ‎– Earth Horns with Electronic Drone, excerpt, (1974). Electronics by Liz Phillips. Pipehorn players Barbara Stewart, Garrett List, Jim Burton, Yoshi Wada. Composed by, recorded by Yoshi Wada. Recorded at Everson Museum of Art, Syracuse, New York, Sunday 2-5pm, February 24, 1974. 10:51 03:47:10 25.   Matsuo Ohno, Takehisa Kosugi, “B.G.M. Parts A-F” (1963). Music and effects later used for Astroboy. 06:59 03:57:48 26.   Joji Yuasa, “My Blue Sky (No. 1)” (1975). Tape parts realized at NHK Electronic music studio. 15:43 04:05:00   Additional opening, closing, and other incidental music by Thom Holmes. My Books/eBooks: Electronic and Experimental Music, sixth edition, Routledge 2020. Also, Sound Art: Concepts and Practices, first edition, Routledge 2022. See my companion blog that I write for the Bob Moog Foundation. For a transcript, please see my blog, Noise and Notations. Original music by Thom Holmes can be found on iTunes and Bandcamp.

REPLAY (Original Air Date May 27, 2024) *Please note that this episode contains discussions regarding abuse that some may find disturbing. Welcome to the Social-Engineer Podcast: The SE Etc. Series. This series will be hosted by Chris Hadnagy, CEO of Social-Engineer LLC, and The Innocent Lives Foundation, as well as Social-Engineer.Org and The Institute for Social Engineering. Join Chris as he discusses topics and news pertaining to the world of Social Engineering. Today, Chris is joined by Nadja El Fertasi. Nadja is a leading figure in fostering emotional resilience within the digital age. Her comprehensive expertise spans crisis management, strategic stakeholder communication, and emotional intelligence, creating a unified approach to enhance the human side of digital advancements. Having spent nearly two decades at NATO, including a significant role in the NATO Communications and Information Agency focusing on Digital Transformation & Cybersecurity, Nadja has been a pivotal figure in strategic engagement and communications. This role highlighted her commitment to navigating and leading through the complexities of cybersecurity and digital transformation. With over 15 years dedicated to cybersecurity at NATO, Nadja has emerged as a respected expert in her field. Her contribution to the cybersecurity community was acknowledged in "Hacking Gender Barriers: Europe's Top Cyberwomen," by the Women4Cyber foundation, which recognized her as one of Europe's influential figures in cybersecurity. Today, Nadja is the voice behind the EQ Elevator Podcast, where she assists businesses in cultivating leadership that's resilient and equipped for the digital age's challenges. Her work is dedicated to shaping a safer, more emotionally intelligent digital landscape, where individuals and organizations can thrive amidst technological disruptions. [May 27, 2024]   00:00 - Intro 00:19 - 2024 State of Vishing Report 01:01 - Intro Links -          Social-Engineer.com - http://www.social-engineer.com/ -          Managed Voice Phishing - https://www.social-engineer.com/services/vishing-service/ -          Managed Email Phishing - https://www.social-engineer.com/services/se-phishing-service/ -          Adversarial Simulations - https://www.social-engineer.com/services/social-engineering-penetration-test/ -          Social-Engineer channel on SLACK - https://social-engineering-hq.slack.com/ssb -          CLUTCH - http://www.pro-rock.com/ -          innocentlivesfoundation.org - http://www.innocentlivesfoundation.org/                                                 03:11 - Nadja El Fertasi Intro 05:02 - The Importance of Sharing 07:14 - Romance Scam: Nadja's Story 13:51 - The Other Side 15:59 - The Red Flags 19:13 - A Gift and a Curse 23:22 - Taking Responsibility 25:24 - Love, Not Romance 27:05 - Navigating the Apps 32:28 - Reality Check 37:27 - Being Human 39:39 - Learning From "No" 41:28 - Where to Report 42:25 - Wrap Up 43:58 - Find Nadja El Fertasi Online -          LinkedIn: in/nadja-elfertasi -          Instagram: @nadjafertasi 45:17 - Outro -          www.social-engineer.com -          www.innocentlivesfoundation.org   Find us online -          Chris Hadnagy -          Twitter: @humanhacker -          LinkedIn: linkedin.com/in/christopherhadnagy

Mack recalls being told early on that "you will never have to sober up again," and those words stuck with him and helped him commit to AA. Mack, Don and Olis discuss Ask it Basket questions from Madeline and Michael. Stay tuned after the closing music for Listener Feedback from Nadja and Gary.You're Invited to the 2025 International Convention of Alcoholics Anonymous. Please visit aa.org/international-convention for information and to register.While we provide the podcast at no charge, we do have expenses. Grapevine is the only AA entity that does not accept contributions, so to support the AA Grapevine Podcast, please subscribe to Grapevine Magazine in print, online, or on the Grapevine app. You can also provide a subscription to someone in need through our "Carry the Message" program or purchase books or other items at aagrapevine.org/storeYou can email us at podcast@aagrapevine.org. To record an Ask-It-Basket question or a recovery-related joke, call 212-870-3418 or email a voice recording to podcast@aagrapevine.org

Meghan Markle bzw. Meghan, Duchess of Sussex, liefert mit „With Love, Meghan“ die bereits fünfte „Archewell Production“ im Netflix-Deal von 2021 ab. Darin empfängt die ehemalige Suits-Darstellerin diverse Freunde, Bekannte und Menschen aus ihrem weiteren Umfeld. Verschiedene Mahlzeiten werden dabei zubereitet und vor allem Deko-Empfehlungen abgegeben oder Kräuter und Obst in einem Garten gepflückt.Der Ort des Geschehens ist ein wunderschönes, gemietetes Haus in Montecito, Kalifornien, in der Nähe des echten Anwesens von Harry und Meghan. Im Netz gibt es Häme, doch Hanna und Nadja versuchen im Podcast, dem Sinn des Realityformats auf die Spur zu kommen. Für Serienjunkies interessant: Es schauen einige Serienstars vorbei, und zwar Mindy Kaling (The Office) und Abigail Spencer (Suits, Rectify).Timestamps: 0:00:00 Vorgeplänkel0:04:00 Warum gibt es kein Beraterteam? 0:08:00 Was ist das Ziel der Serie? 0:10:00 Die Mindy-Kaling-Folge 0:13:00 Warum das Ganze - wirklich nur für die Promotion von Marmelade?0:18:00 Uncanny-Valley-Effekt0:22:00 Was wird bleiben?0:25:00 Tradwife-Feelings und eine Zara-HoseGoldie:Insta: https://www.instagram.com/__g_o_l_d_i_e__/ Buzzfeed: https://www.buzzfeed.de/serien/netflix-org1521410/netflix-show-with-love-meghan-fuehlt-sich-an-wie-ein-psychothriller-ich-verrate-warum-zr-93617872.html Hanna Twitter/ X: https://twitter.com/HannaHuge Bluesky: https://bsky.app/profile/mediawhore.bsky.social Instagram: https://www.instagram.com/mediawhore Hosted on Acast. See acast.com/privacy for more information.

Mitzkat, Nadja www.deutschlandfunkkultur.de, Studio 9

In diesem Podcast unterhält sich Simone Walther Büel mit Expertin und Drogistin HF, Nadja Imoberdorf, über das Thema Entschlacken/Entgiften und wie man seinen Körper im Frühling wieder auf Touren bringt. Nadja Imoberdorf beantwortet ihr folgende Fragen: 02:05 Nadja, wir sprechen heute über den Frühlingputz für unseren Körper. Dass wir unerwünschte Stoffe wieder loswerden, dafür sorgen unsere Entgiftungsorgane. Welche sind das und wie funktionieren sie? 03:38 Gibt es Möglichkeiten unsere Entgiftungsorgane bei der Entsorgung angesammelter Abfallstoffe zu unterstützen? Und wenn ja, welche? 05:04 Die Funktion der Entgiftungsorgane lässt sich durch bestimmte Pflanzen noch gezielt anregen. Welche Pflanzen sind dafür besonders geeignet? 05:46 Nadja, wie viel Zeit muss man für so einen Entgiftungsprozess einrechnen? 06:18 Und wie sieht es mit Nebenwirkungen aus? Können solche bei einer Entgiftungskur auftreten? Jetzt unbedingt reinhören in diesen Podcast und auch unsere weiteren Podcasts und unsere Blogs rund ums Thema Gesundheit, Ernährung und Komplementärmedizin entdecken: --- Webseite | https://www.ebi-pharm.ch/wissen/ebi-aktuell Linkedin | https://www.linkedin.com/company/ebipharm-ag/ Instagram | https://www.instagram.com/ebipharmag/ Spotify | https://open.spotify.com/show/0efW5HJVKaZUYxOOCLUgQU Soundcloud | https://soundcloud.com/ebi-pharm-ag YouTube | https://www.youtube.com/channel/UCzF2mDbNz1YHunlEE-6bluA Apple Podcasts | https://podcasts.apple.com/ch/podcast/ebi-podcast/id1735897329

Fluent Fiction - Serbian: Discovering Heart and History: A Journey at Lepenski Vir Find the full episode transcript, vocabulary words, and more:fluentfiction.com/sr/episode/2025-03-10-22-34-01-sr Story Transcript:Sr: Пролећно сунце лагано је обасјавало древни град Лепенски Вир.En: The spring sun gently illuminated the ancient city of Lepenski Vir.Sr: Ветар је благо пирио, носећи свежину са обала реке Дунав.En: A gentle breeze was blowing, carrying the freshness from the banks of the Danube River.Sr: Милан, анаранжер у прошлости, био је и археолог у души.En: Milan, a former arranger, was also an archaeologist at heart.Sr: Имао је визију да открије тајне које крију ове древне стене.En: He had a vision to uncover the secrets hidden by these ancient stones.Sr: Његова сестра Надја окупила је породицу на овом месту.En: His sister Nadja gathered the family at this place.Sr: Желела је да врати изгубљено јединство, да измири старе несугласице.En: She wanted to restore lost unity and reconcile old disagreements.Sr: Са њима је била и Ванја, њихова весела сестричина, која је увек уживала у истраживању нових култура.En: With them was Vanja, their cheerful niece, who always enjoyed exploring new cultures.Sr: Читаво место било је испуњено њиховим присуством.En: The whole place was filled with their presence.Sr: Река је тихо шумела у фону, а Надја је припремала пикник на малој ливади.En: The river quietly murmured in the background, and Nadja was preparing a picnic on a small meadow.Sr: Милан је био близу, али мисли му нису биле овде.En: Milan was nearby, but his thoughts were not there.Sr: Само је размишљао о артефактима који се можда налазе испод његових ногу.En: He was only thinking about the artifacts that might be beneath his feet.Sr: Милан је поклонио остатком породице само део своје пажње.En: Milan gave only part of his attention to the rest of the family.Sr: Више је био сања у мислима о могућим открићима.En: He was more lost in thoughts of possible discoveries.Sr: То је почело да ствара тензију међу њима.En: This began to create tension among them.Sr: Једног дана, док је истраживао један део ископине, Милан је наишао на нешто значајно.En: One day, while exploring a part of the excavation, Milan came across something significant.Sr: Његово срце је поскочило од узбуђења.En: His heart leaped with excitement.Sr: Али у истом тренутку, зачуо је смех породице који је долазио с ливаде.En: But at the same moment, he heard the laughter of the family coming from the meadow.Sr: Стао је, размишљајући.En: He stopped, pondering.Sr: Знао је да мора да донесе одлуку.En: He knew he had to make a decision.Sr: Да ли ће се у потпуности предати свом раду или ће поделити овај тренутак са својим најближима?En: Would he fully commit to his work, or would he share this moment with his loved ones?Sr: Милан је одлучио да је породица важнија.En: Milan decided that family was more important.Sr: Позвао је Надју и Ванју и заједно су присуствовали откривању.En: He called Nadja and Vanja, and together they witnessed the discovery.Sr: Док су заједно откривали артефакт, осетио је дубоку везу са њима.En: As they uncovered the artifact together, he felt a deep connection with them.Sr: Са осмехом на лицу, захвалио се Надји што га је подстакла да пронађе равнотежу између страсти и породице.En: With a smile on his face, he thanked Nadja for encouraging him to find a balance between passion and family.Sr: У тим тренуцима, Милан је схватио вредност заједништва.En: In those moments, Milan realized the value of togetherness.Sr: Одлучио је да усвоји савете сестре и да будућност гради са породицом у мислима.En: He decided to adopt his sister's advice and to build the future with family in mind.Sr: Како је сунце лагано залазило иза хоризонта, Лепенски Вир је био сведок новог почетка за ово троје.En: As the sun slowly set behind the horizon, Lepenski Vir witnessed a new beginning for these three. Vocabulary Words:illuminated: обасјавалоancient: древниbreeze: ветарarranger: анаранжерarchaeologist: археологvision: визијаuncover: откријеsecrets: тајнеrestore: вратиunity: јединствоreconcile: измириdisagreements: несугласицеcheerful: веселаexploring: истраживањуpresence: присуствоmeadow: ливадаartifacts: артефактиdiscoveries: открићаtension: тензијаexcavation: ископинаsignificant: значајноpondering: размишљајућиcommit: предатиmoment: тренутакwitnessed: присуствовалиconnection: везаbalance: равнотежаtogetherness: заједништвоadopt: усвојиhorizon: хоризонта

Hueck, Carsten www.deutschlandfunk.de, Büchermarkt

Hueck, Carsten www.deutschlandfunk.de, Büchermarkt

En juillet 1992, dans le quartier Sud de Lille, une petite fille de 4 ans, Nadja, est enlevée au pied de l'immeuble de sa grand-mère par un inconnu. 6 jours plus tard, son cadavre à moitié dénudé, est retrouvé dans un terrain vague. Les policiers de la PJ de Lille font le rapprochement avec deux affaires similaires : le meurtre de Nathalie, 5 ans, en 1985 et celui de Cathy, 9 ans, en 1990.

In der 287. Episode von IMR begrüßt Marc Nadja Raiß, Partnerin in der Praxisgruppe Restrukturierung und Insolvenz bei K&L Gates in Frankfurt. Die Folge thematisiert die Unterschiede zwischen traditioneller Anwaltspraxis und dem Bereich der Restrukturierung und Insolvenz. Nadja teilt ihren persönlichen Werdegang, das Rollenverständnis und die Herausforderungen, die mit Insolvenzverfahren und Restrukturierungsmaßnahmen verbunden sind. Sie erklärt, wie Insolvenzen nicht nur als Krisensituation verstanden werden sollten, sondern auch als Chance zur Sanierung und Neuausrichtung von Unternehmen. Zudem diskutieren wir, wie wichtig Kommunikation während eines Insolvenzverfahrens ist und welche kreativen Ansätze notwendig sind, um Unternehmen in Krisenzeiten wieder profitabel zu machen. Welche speziellen Strategien nutzt Nadja, um ihren Mandanten durch schwierige Zeiten zu helfen? Inwiefern spielt ihre juristische Ausbildung eine Rolle in ihrer täglichen Arbeit? Und warum wird das Insolvenzrecht - obwohl es sehr spannend ist - teils stiefmütterlich behandelt? Antworten auf diese und viele weitere Fragen erhaltet Ihr in dieser Folge von IMR. Viel Spaß!

Pred nami je nova doba zdravljenja demence. Gre za zdravilo, ki je namenjeno upočasnjevanju napredovanja Alzheimerjeve bolezni. Kaj si lahko obetamo od novega zdravila in kdaj? V Sloveniji je 45.000 ljudi z demenco in kakovostna obravnava se le počasi izboljšuje. Kako to bolezen zamakniti, če nam je položena v zibko? Kje in kdaj družina bolnika z demenco poišče pomoč in kaj lahko pričakuje ob tem? Gostje: dr. Milica Gregorič Kramberger, nevrologinja in vodja Centra za kognitivne motnje na Nevrološki kliniki UKC Ljubljana; Nadja Čobal, ministrstvo za zdravje; Špela Zupan, Skupnost centrov za socialno delo Slovenije; Štefanija Lukič Zlobec, predsednica združenja Spominčica – Alzheimer Slovenija.

Usually Thomas as a pastor, was the one who had speaking engagements at various seminars and events. But this time, because I worked with the women's Aglow group in Munich, we were both invited to speak at one of their meetings in West Berlin. The main purpose was to tell our story of how we found faith in Jesus. An important part of the meeting, was singing modern choruses, which we called “praise and worship”. Of all the places we had been that year, this was the most important. It was an opportunity, to get back to our roots, and share the gospel with people in Thomas' home town. Thomas' mother Nadja, was also a part of the Aglow teamin Berlin. She had given her testimony at one of their meetings and told how her son had led her to the truth. So the ladies were interested in hearing his side of the story. This was out of the norm, inviting a man, but they liked theidea of hearing from both of us, and how all of us ended up in California. Today I will take you back to the beginning of our story, as we told it when we were 31 and 32 years old.

Wie können Yoga-Retreats unsere Gesundheit und Lebensfreude steigern? Das verraten uns Nadja Dassouki und Dr. Claudia Kettler in dieser inspirierenden Episode. Unsere Gäste bringen spannende Perspektiven mit: Nadja, die nach einer erfolgreichen Karriere als Model und Schauspielerin nun als Yoga- und Fitnesstrainerin wirkt, und Claudia, eine kompetente Allgemeinmedizinerin, die sich der funktionellen Medizin verschrieben hat. Sie teilen ihre persönlichen Geschichten und die Entstehung der Longevity-Yoga-Retreats, die sie gemeinsam ins Leben gerufen haben, um Frauen auf ihrem Weg zu einem bewussteren und gesünderen Leben zu begleiten.Ihr Longevity-Programm setzt auf die Kraft der Gemeinschaft und individuelle Gesundheitsförderung. Es vereint Yoga mit Krafttraining, um Körper, Geist und Seele in Balance zu bringen. Nadja und Claudia erklären, warum kleine Veränderungen im Alltag eine große Wirkung haben können und wie wichtig es ist, Achtsamkeit zu praktizieren. Ihr Ziel ist es, Frauen zu inspirieren, gesunde Gewohnheiten zu entwickeln, die ein erfülltes Leben fördern. Sie erzählen von den Herausforderungen, die sie in ihren Karrieren gemeistert haben, und wie diese Erfahrungen sie zu starken Vorbildern und Mentoren gemacht haben.Solltet ihr die Gelegenheit verpassen, vom 13. März bis 16. März 2025 beim Retreat im Grandhotel Heiligendamm dabei zu sein https://www.grandhotel-heiligendamm.de/yoga-longevity-retreat/, gibt es im Mai eine weitere Chance, die beiden im malerischen Alpenresort Schwarz in Österreich zu treffen https://www.schwarz.at/de/zimmer-angebote/angebote/angebot-159961-longevity-retreat-mit-nadia-dassouki-und-dr-claudia-kettler.html. Perfekte Orte, um in gemeinschaftlicher Atmosphäre an einem gesunden Lebensstil zu arbeiten und die inspirierenden Gespräche fortzusetzen.Lasst euch von den Erkenntnissen unserer Gäste begeistern und werdet Teil einer Gemeinschaft, die sich für ein gesundes und erfülltes Leben einsetzt. Wir freuen uns über Dein Feedback.Möchtest auch Du mit Deinen vorhandenen Potenzialen, Fähigkeiten und Kenntnissen Deine unverwechselbare Marke im Fashion- und Lifestyle-Segment aufbauen? Ich helfe Dir gerne bei der Gründung Deiner eigenen Marke, und biete Dir meine Erfahrungen, meine Plattform, und den Zugang zu meinem exklusiven Netzwerk.TRIFF JETZT DEINE ENTSCHEIDUNG und vereinbare Dein kostenfreies Vorgespräch auf www.womeninfashion.de/mentoring

The story of Harborvale comes to a close in this thrilling Finale. Isla and Avery continue to fight there way from within the Rift, as Kanan and Jason face Nadja's brutes from outside! CW: These Silent Secrets routinely contains swearing, underage drinking, blood, and themes of sex and violence. Cast Credits: MC: Taylor Tuttle (@ttutsvoice) Nicole Tuttle-Robb (@nicolevoice) Mariah Clawson (@MariahClawson) Freddie Powers (@FreddiePowPow) Marcus Rosenberg (@MarcusRVO) Checkout out patreon at https://www.patreon.com/ghostlightmedia and our merchstore at https://www.teepublic.com/stores/ghostlight?refid=6882&utmcampaign=6882&utmmedium=affiliate&utmsource=Another%2BPath!! Special Thanks to... Chase Greenlee (@TQLoudly) and Ghostlight Media Nicole Tuttle-Robb Music credits: Bensound Whitesand Argsound Tune Tank Alexander Nakarada Scott Buckley Justin Allan FSCM Productions Alex Productions Free Stock Music Archives (edited)

Did you enjoy this episode? Text us your thoughts and be sure to include the episode name.PwC recently released the results of our 2024 Global Investor Survey, which was conducted to better understand investor expectations and concerns about corporate reporting and the evolving business landscape. The annual survey results highlight the importance of transparency in technology use, especially Artificial Intelligence (AI), and the need for companies to adapt to global threats, climate change, and regulatory developments.This week, host Heather Horn is joined by Nadja Picard, PwC Global Reporting Leader, to break down the results and discuss the sometimes differing expectations between companies and investors. They also address how companies can better meet investor expectations through both action and communication.In this episode, we discuss:01:31 – Purpose of the 2024 global investor survey and demographics of survey participants05:11 – Highlights from the global investor survey, including what surprised our Global Reporting Leader most10:19 – Expectations to continue investing in AI, while upskilling the workforce14:09 – How investors are thinking about climate adaptation and transition19:41 – How investors evaluate trust and communication year over year25:15 – Cybersecurity ranks number one threat33:28 – Executing well and communicating well to address investor concerns36:29 – Advice for companies navigating a challenging reporting landscapeLooking for the latest developments in sustainability reporting? Follow this podcast on your favorite podcast app and subscribe to our weekly newsletter to stay in the loop for the latest thought leadership on sustainability standards. Nadja Picard is PwC's Global Reporting Leader. In this role, she leads PwC's global initiative to help clients transform their corporate reporting to meet investor and stakeholder demands for trusted and assured reporting beyond financial reporting. Nadja also advises companies on the accounting, corporate reporting, and investor relations requirements in advance of capital markets transactions, especially IPOs.Heather Horn is the PwC National Office Sustainability and Thought Leader, responsible for developing our communications strategy and conveying firm positions on accounting, financial reporting, and sustainability matters. In addition, she is part of PwC's global sustainability leadership team, developing interpretive guidance and consulting with companies as they transition from voluntary to mandatory sustainability reporting. She is also the engaging host of PwC's accounting and reporting weekly podcast and quarterly webcast series.Transcripts available upon request for individuals who may need a disability-related accommodation. Please send requests to us_podcast@pwc.com.

Nadja Hagen is a Self Love Coach for high-achieving women recovering from people-pleasing.Nadja teaches her clients to set healthy boundaries and to prioritize themselves so they can intentionally create their life aligned with their values and create mutual, connected relationships without the need to pretend to be someone they're not.Nadja has been a licensed Life Coach for over 10 years with more than a decade of corporate leadership positions under her belt.Here's where to find more:www.nadjahagen.comhttps://www.facebook.com/nadjahagenhttps://www.linkedin.com/in/nadjahagen___________________________________________________________Welcome to The Unforget Yourself Show where we use the power of woo and the proof of science to help you identify your blind spots, and get over your own bullshit so that you can do the fucking thing you ACTUALLY want to do!We're Mark and Katie, the founders of Unforget Yourself and the creators of the Unforget Yourself System and on this podcast, we're here to share REAL conversations about what goes on inside the heart and minds of those brave and crazy enough to start their own business. From the accidental entrepreneur to the laser-focused CEO, we find out how they got to where they are today, not by hearing the go-to story of their success, but talking about how we all have our own BS to deal with and it's through facing ourselves that we find a way to do the fucking thing.Along the way, we hope to show you that YOU are the most important asset in your business (and your life - duh!). Being a business owner is tough! With vulnerability and humor, we get to the real story behind their success and show you that you're not alone._____________________Find all our links to all the things like the socials, how to work with us and how to apply to be on the podcast here: https://linktr.ee/unforgetyourself