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Sex Estimation of the Human Skeleton

History, Methods, and Emerging Techniques

Part 1 Introduction to sex estimation 1. A history of sex estimation of human skeletal remains 2. Practitioner preferences for sex estimation from human skeletal remains 3. Applications of sex estimation in paleoanthropology, bioarchaeology, and forensic anthropology 4. The confusion between biological sex and gender and potential implications of misinterpretations 5. Effect of sex misclassification on the skeletal biological profile Part 2 Methods for sex estimation Section A Morphological 6. Pelvis morphology 7. Adult sex estimation from cranial morphoscopic traits 8. Analyses of the postcranial skeleton for sex estimation 9. Parturition markers and skeletal sex estimation &nbsp;Section B Metric 10. Dentition in the estimation of sex 11. Metric methods for estimating sex utilizing the pelvis 12. Sexual dimorphism variation in Fordisc samples Section C Statistics &amp; databases 13. Statistical and machine learning approaches to sex estimation 14. Subadult sex estimation 15. DSP: A probabilistic approach to sex estimation free from population specificity using os coxae measurements 16. MorphoPASSE: Morphological pelvis and skull sex estimation program Part 3 Current considerations/topics 17. Factors of population variation in sex estimation methodology 18. Secular change 19. The effects of skeletal asymmetry on accurate sex classification 20. Cognitive bias in sex estimation: The influence of context on forensic decision-making 21. Sex determination using DNA and its impact on biological anthropology 22. The application of medical imaging to the anthropological estimation of sex

In seinem neuen Buch rekapituliert Chris Brönimann die zurückliegenden Jahre als Transfrau, den langen Weg einer schwierigen Entscheidungsfindung und wie sich sein Leben seither verändert hat. Heute stellt er andere Fragen als in jungen Jahren. Zum Beispiel: Was ist Männlichkeit und was ist Weiblichkeit? Wie können beide Identitäten miteinander in Einklang gebracht werden? Und: Warum werden Menschen, die ihr Glück als Trans-Personen nicht finden und die einstige Entscheidung aus vielfältigen Gründen hinterfragen, in den eigenen Reihen kritisiert? Innerhalb einer jahrzehntelangen Entwicklung argumentiert Chris Brönimann als Zeitzeuge, der sich kraftvoll von vielen Zwängen befreite und auch heute für sich beansprucht, Dinge neu denken und fühlen zu dürfen. Nebst seinen biografischen Erfahrungen im Rahmen der De-Tranisition, die er facettenreich, menschlich und ausgewogen schildert, vertieft er wesentliche Wissens- Aspekte. Ebenfalls kommen verschiedene Wegbegleiter zu Wort, auch solche, die erzählen, unter welchen Voraussetzungen die Transition gelingen kann.

In seinem neuen Buch rekapituliert Chris Brönimann die zurückliegenden Jahre als Transfrau, den langen Weg einer schwierigen Entscheidungsfindung und wie sich sein Leben seither verändert hat. Heute stellt er andere Fragen als in jungen Jahren. Zum Beispiel: Was ist Männlichkeit und was ist Weiblichkeit? Wie können beide Identitäten miteinander in Einklang gebracht werden? Und: Warum werden Menschen, die ihr Glück als Trans-Personen nicht finden und die einstige Entscheidung aus vielfältigen Gründen hinterfragen, in den eigenen Reihen kritisiert? Innerhalb einer jahrzehntelangen Entwicklung argumentiert Chris Brönimann als Zeitzeuge, der sich kraftvoll von vielen Zwängen befreite und auch heute für sich beansprucht, Dinge neu denken und fühlen zu dürfen. Nebst seinen biografischen Erfahrungen im Rahmen der De-Tranisition, die er facettenreich, menschlich und ausgewogen schildert, vertieft er wesentliche Wissens- Aspekte. Ebenfalls kommen verschiedene Wegbegleiter zu Wort, auch solche, die erzählen, unter welchen Voraussetzungen die Transition gelingen kann.

Heimkehr zu Chris

The fourth edition of Cybercrime and Digital Forensics provides a concise, cohesive exploration of all forms of cybercrime, including cyberterrorism and cyberwarfare, in an international context. This new edition includes:<ul> <li> A detailed chapter-by-chapter exploration of specific forms of cybercrime, ranging from hacking and malware to fraud to various sexual and interpersonal crimes and even online illicit markets;</li> <li>An updated discussion of criminological theories;</li> <li>Up-to-date examinations of the laws pertaining to cybercrime across the world, inclusive of Australia, Canada, the EU, India, the UK, and the US;</li> <li>Explanations of generative Artificial Intelligence (AI), with examples in each chapter of the ways AI is facilitating cybercrime and transforming the landscape of cybercrime regulation;</li> <li>A detailed history of digital forensics, as well as the current processes of evidence collection and analysis;</li> <li>Examples of real-life cybercrime, cyberterror, and cyberwarfare incidents from around the world.</li> </ul> This text is essential reading for courses on cybercrime, cyber-deviance, digital forensics, cybercrime investigation, and the sociology of technology.

An Introduction to Theory, Policy, and Practice

Cybercrime and Digital Forensics

Visionary marketing insider, Christian Muche, Founder of the annual Possible conference, has built his career by turning bold ideas into transformative platforms that shape industries and inspire global audiences. In The Future Possible, Christian shares the latest groundbreaking innovation at the intersection of marketing and technology so that businesses of all types can learn what is needed to succeed over the coming decades.The key themes include: <ul><li>Trust as the primary currency (earned, measured, defended).</li><li>Moments as the flywheel that turns attention into adoption.</li><li>Networks as the distribution logic for ideas, products, and reputation.</li></ul>This is the playbook to building trust-first brands that travel across markets and media. Chapters include executive frameworks that leaders can apply immediately, and a clear way to lead through AI acceleration, cultural volatility, and the post-attention economy without whiplash.

The platform-backed blueprint for building the next generation of market-leading brands.

Leadership, Human Connection, and Creating What Comes Next

The Future Possible

Chapman & Hall/CRC Texts in Statistical Science

From Alan Turing breaking the Enigma code to ChatGPT reshaping how we work and create, artificial intelligence has always been powered by a single unifying principle: learning from data under uncertainty. This book reveals the mathematical machinery behind modern AI, weaving together Bayesian probability, statistical learning, and deep neural networks into a coherent intellectual framework. Whether you seek to understand why large language models hallucinate, how recommendation systems predict your preferences, or what makes reinforcement learning agents master complex games, this book equips you with both the theoretical foundations and practical intuitions that define the modern AI playbook.Key Features:<ul> <li>Builds Bayesian reasoning from first principles through historical examples like submarine search and WWII code-breaking</li> <li>Bridges classical statistics and deep learning, connecting linear regression to transformers</li> <li>Covers the complete AI stack: probability, decision theory, Gaussian processes, neural networks, CNNs, NLP, and LLMs</li> <li>Emphasizes uncertainty quantification-building systems that know what they don't know</li> <li>Practical applications across finance, healthcare, operations, and autonomous systems</li> <li>Emerging topics: AI agents, RLHF, and retrieval-augmented generation</li> </ul>Written for graduate students, data scientists, and quantitatively-minded practitioners, this book assumes comfort with calculus and basic probability while building sophisticated intuitions progressively. Business analysts will appreciate the decision-theoretic framing; engineers will value the architectural insights; researchers will find rigorous foundations for further study. Whether used as a course textbook, professional reference, or intellectual companion for understanding the AI revolution transforming every industry, this book delivers the rare combination of mathematical depth and accessible exposition that makes complex ideas genuinely understandable.

Foundations of Data Science

Bayes, AI, and Deep Learning

Research in Creative Writing

Writing Human in the Age of AI

Crack the case with the real science behind crime solving Crime scene investigations are fascinating - and the real science behind them is even more interesting than what you see on TV. Forensics For Dummies, 3rd Edition walks you through the methods police and forensic professionals use to evaluate evidence, identify victims and criminals, and piece together what actually happened. This friendly guide makes forensic science accessible. From fingerprints and fibers to blood spatter, ballistics, toxicology, and DNA analysis, you'll get the facts behind real crime-solving techniques. Explore forensic psychology, learn how electronic media and GPS tracking play a role in modern investigations, and dig into real case studies. You'll also find practical advice for anyone considering a career in this growing field. Inside this book: <ul> <li>Discover how forensic pathology, toxicology, and serology help investigators determine cause and time of death</li> <li>Explore DNA advances including Touch DNA, Genealogical DNA, and Phenotypical DNA used icrime labs</li> <li>Learn about digital forensics techniques, including electronic media tracking, GPS evidence collection, and forensic hacking methods</li> <li>Find out how blood, fiber, and ballistic evidence is collected and used to connect suspects to crime scenes</li> <li>Get practical guidance on launching your forensic science career across specialties like criminalistics, odontology, and anthropology</li> </ul> Whether you're a true crime fan/writer who wants to understand the science behind your favorite shows,podcasts, and books, or you're a student exploring a career in forensic science, this Dummies guide gives you the knowledge you need.

Forensics For Dummies

This volume is the first in-depth collection to explore the impact of language on the field of comparative constitutional law. It addresses the epistemological and conceptual implications of English as the lingua franca. In this regard, it considers the global influence of Anglophone jurisdictions in orienting the discourse through the identification of concepts, designs and ideas that warrant engagement and exploration outside of those origin jurisdictions. In doing so, the book underscores that language is not a neutral device but can produce hegemonic pressures and expectations. It further makes the role of language in conducting comparative constitutional law explicit, so that its users can be more deliberate in their selection of foreign materials and are made conscious of the limitations of their findings due to language barriers. The book calls for a reckoning with the rich constitutional vocabulary that non-Anglophone jurisdictions have to offer to ensure a more holistic approach to the creation of knowledge. It also emphasises the need for the contextualised study of constitutional phenomena to appreciate how these are shaped by linguistic choices. In addition to raising awareness about language's significance as an epistemological, conceptual and methodological device, the volume also puts forward constructive tools and techniques to harness language's potential, making it an indispensable resource for scholars, students, lawmakers and judges.

Questioning Hegemonies

The Language of Comparative Constitutional Law

This book presents a comprehensive and integrated framework for managing market and liquidity risk in trading and investment portfolios. By combining theoretical rigor with machine learning-driven modeling and empirical validation, it addresses a critical gap in current financial literature: the joint modeling of interdependent risk dimensions through advanced data science techniques.The book bridges the divide between academic theory and real-world practice, demonstrating how machine learning can be systematically applied to model complex risk behaviors, capture regime shifts, and improve portfolio resilience. Traditional risk frameworks often struggle to handle nonlinear, high-dimensional, and heavy-tailed market dynamics. In contrast, this book integrates ML-based optimization techniques—covering liquidity proxies, price impact models, Liquidity-Adjusted Value-at-Risk (LVaR), and regime-switching volatility structures—to offer a more adaptive and robust risk management paradigm. Each chapter offers a balance of quantitative depth and application-oriented insight, enabling readers to connect rigorous research with day-to-day decision-making in risk and portfolio management.Mazin A. M. Al Janabi
 is a distinguished scholar and practitioner in finance, banking, and financial engineering with more than three decades of experience spanning science, technology, and academia. He holds a PhD in Nuclear Engineering from the University of London (UK) and has held senior management roles at ING-Barings and BBVA, including Director of Global Market Risk Management and Head of Trading Risk. A Full Research Professor, he has served at leading institutions such as EGADE Business School (Mexico), United Arab Emirates University, and Al Akhawayn University (Morocco). His research, published in top-tier journals including the 
 European Journal of Operational Research
 , 
 International Review of Financial Analysis
 , and 
 Annals of Operations Research
 , explores market and liquidity risk in both emerging and developed markets. Prof. Al Janabi is also the developer of the “Al Janabi Model” for Liquidity Risk Management, recognized in academic literature for its innovation. As a research fellow at the Economic Research Forum (ERF) and a frequent keynote speaker, he continues to shape contemporary discourse in proprietary trading, market liquidity, and financial risk analytics.

This book presents a comprehensive and integrated framework for managing market and liquidity risk in trading and investment portfolios. By combining theoretical rigor with machine learning-driven modeling and empirical validation, it addresses a critical gap in current financial literature: the joint modeling of interdependent risk dimensions through advanced data science techniques.The book bridges the divide between academic theory and real-world practice, demonstrating how machine learning can be systematically applied to model complex risk behaviors, capture regime shifts, and improve portfolio resilience. Traditional risk frameworks often struggle to handle nonlinear, high-dimensional, and heavy-tailed market dynamics. In contrast, this book integrates ML-based optimization techniques—covering liquidity proxies, price impact models, Liquidity-Adjusted Value-at-Risk (LVaR), and regime-switching volatility structures—to offer a more adaptive and robust risk management paradigm. Each chapter offers a balance of quantitative depth and application-oriented insight, enabling readers to connect rigorous research with day-to-day decision-making in risk and portfolio management.

A Unified Machine-Learning-Compatible Framework for Proprietary Trading, Portfolio Management, and Financial Stability

Quantitative Market and Liquidity Risk Analytics

Crypto crises examines how the cryptocurrency industry has become a powerful force in global capitalism. Far from the promise of decentralisation, it reveals how crypto is deepening social inequality, fuelling environmental destruction, and reshaping political power. Drawing on extensive research and vivid examples, the book traces the rise of a new class of "crypto-capitalists" - from billionaire investors and mining conglomerates to populist politicians - who are embedding digital assets at the heart of finance and governance. It exposes the hidden networks of influence linking crypto to Wall Street, Big Tech, and the Global South, where exploitation is reframed as innovation. Provocative and timely, the book offers a critical account of how cryptocurrency's dream of liberation became one of the defining engines of twenty-first-century capitalism.

How digital currencies accelerate global instability

Crypto crises

This book showcases original work with practical implementation and comprehensive reviews for future developments. This book, titled, 'Trends in Forensics, Law and Criminology: Empowering Criminal Justice in 21st Century', the first of two volumes brings together eighteen original contributions that examine criminal justice from the complementary vantage points of forensic science, law, and criminology. It offers readers from all three communities a substantive yet accessible engagement with the questions that define the pursuit of justice in 21st century, and deliberately builds bridges across disciplinary boundaries that too often remain separate. This book explores its themes along two closely intertwined lines of inquiry. On the scientific and technological front, it examines machine learning in document forensics, nuclear and metabolomic techniques in toxicological analysis, three-dimensional crime scene reconstruction, the deepfake challenge in the Indian context, and digital forensics in financial cybercrime. On the legal and criminological front, it addresses rape perpetration, domestic violence against men, prisoner mental health and suicidality, post-incarceration social reintegration, probation theory, capital punishment, euthanasia attitudes, and the role of forensic and medical evidence in Supreme Court proceedings, together painting a picture of a justice system navigating profound human and procedural challenges. The readers who find important learnings in this volume include forensic scientists, legal professionals, law enforcement practitioners, criminologists, policymakers, academicians, and students who seek a holistic and interdisciplinary understanding of how science, law, and society converge in the administration of criminal justice.

This book brings together studies in forensics, law and criminology, which are all equally essential for a fair criminal justice system. It gives a comprehensive view to a wide variety of readers from the three communities across the globe to connect the dots which link all these three subjects, thus catalyzing interdisciplinary collaborations. The book explores the topics through four themes -- exploring forensic science in the 21st century; looking at law and criminal justice in the new millennium; contemporary trends in criminology; and, medico-legal aspects of human identification.The readers who will find important learnings in the book include scientists, legal and law enforcement practitioners, academicians and students to create a holistic environment for cumulative and collaborative approach towards the criminal justice system.

Empowering Criminal Justice in 21st Century

Trends in Forensics, Law and Criminology

The Fight for the Future of Work

We Are Not Machines

Springer Series in Supply Chain Management

This book analyzes the transformative potential of blockchain technology for supply chains operating under uncertainty, offering actionable frameworks and strategies for sustainable, transparent, and data-driven business networks.It analyzes how blockchain technology can optimize supply chains in uncertain environments. It explores strategic implementations across industries such as oil and gas, renewables, and omni-channel retail, addressing challenges like efficiency, transparency, security, and environmental impact. The book introduces frameworks for component vs. product tracing, two-step authentication models, integrated network design, and traffic uncertainty modeling. Each chapter presents concepotual models and decision-making tools tailored for practitioners and researchers. It examines the use of smart contracts in blockchain-enabled supply chains, showcasing their potential to automate compliance, lower transaction costs, and build trust, while addressing key challenges such as legal enforceability, code vulnerabilities, and cross-jurisdictional governance. Furthermore, it explores synergies between blockchain and complementary technologies such as Artificial Intelligence (AI) and the Internet of Things (IoT), demonstrating how integrated systems can enable real-time tracking, predictive analytics, and autonomous decision-making in complex supply networks. It critically addresses adoption barriers and evaluates sustainability trade-offs, suggesting that these may incentivize green blockchain innovations to mitigate energy consumption concerns. By bridging theoretical foundations with real-world case studies, this book provides actionable strategies for adopting blockchain in complex, dynamic environments.This book is structured to take the reader on a journey from the fundamental concepts of blockchain in supply chains, through its practical applications and optimizations in various industries, and finally to the specific challenges and innovative solutions for implementation.

This book analyzes the transformative potential of blockchain technology for supply chains operating under uncertainty, offering actionable frameworks and strategies for sustainable, transparent, and data-driven business networks.It analyzes how blockchain technology can optimize supply chains in uncertain environments. It explores strategic implementations across industries such as oil and gas, renewables, and omni-channel retail, addressing challenges like efficiency, transparency, security, and environmental impact. The book introduces frameworks for component vs. product tracing, two-step authentication models, integrated network design, and traffic uncertainty modeling. Each chapter presents concepotual models and decision-making tools tailored for practitioners and researchers. It examines the use of smart contracts in blockchain-enabled supply chains, showcasing their potential to automate compliance, lower transaction costs, and build trust, while addressing key challenges such as legal enforceability, code vulnerabilities, and cross-jurisdictional governance. Furthermore, it explores synergies between blockchain and complementary technologies such as Artificial Intelligence (AI) and the Internet of Things (IoT), demonstrating how integrated systems can enable real-time tracking, predictive analytics, and autonomous decision-making in complex supply networks. It critically addresses adoption barriers and evaluates sustainability trade-offs, suggesting that these may incentivize green blockchain innovations to mitigate energy consumption concerns
 .
 By bridging theoretical foundations with real-world case studies, this book provides actionable strategies for adopting blockchain in complex, dynamic environments. 
 This book is structured to take the reader on a journey from the fundamental concepts of blockchain in supply chains, through its practical applications and optimizations in various industries, and finally to the specific challenges and innovative solutions for implementation.

Strategies, Barriers, and Innovations in Sustainable and Secure Network Design

Blockchain-Driven Supply Chain Management Transformation

Sex Estimation of the Human Skeleton

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