Search results for "Deep Generative Modeling"
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DeepSeek and Mental Health Support Among Chinese Youth
DeepSeek and Mental Health Support Among Chinese Youth: Use Cases, Risks, and Broader Implications explores how artificial intelligence is revolutionizing mental health care, providing innovative solutions to some of humanity’s most pressing emotional challenges. In a society where stigma, cultural barriers, and insufficient resources prevent countless people from seeking help, DeepSeek has emerged as a lifeline, offering accessible, empathetic, and culturally tailored emotional support to millions.Written by an experienced clinical psychologist and an AI expert, this book combines deep expertise from both fields to provide a unique perspective on the intersection of mental health and technology. It takes readers on a journey through the mental health crisis facing young people in China, examining the societal pressures, cultural norms, and systemic barriers that leave so many struggling in silence. Enriched by compelling case studies and critical discussions of ethical concerns that everyone needs to know to protect themselves in the AI era, the book delves into how DeepSeek—a groundbreaking AI-powered platform—is breaking down these barriers and redefining emotional care.Key Features:Fills a unique market niche by exploring the use of DeepSeek for mental health support in ChinaEquip readers with knowledge on the mental health challenges in China and the transformative potential of AI in offering non-judgmental, round-the-clock support.Offers insights into the ethical challenges associated with AI, particularly DeepSeek· Provides future research directions to explore and address emerging issues in AI and mental healthThis book is a must-read for anyone interested in using AI for mental health or already using AI, mental health professionals, AI enthusiasts, policymakers, and anyone interested in the intersection of technology and emotional well-being.
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Multimodal Neuroimaging Computing for the Characterization of Neurodegenerative Disorders
This thesis covers various facets of brain image computing methods and illustrates the scientific understanding of neurodegenerative disorders based on four general aspects of multimodal neuroimaging computing: neuroimaging data pre-processing, brain feature modeling, pathological pattern analysis, and translational model development. It demonstrates how multimodal neuroimaging computing techniques can be integrated and applied to neurodegenerative disease research and management, highlighting relevant examples and case studies. Readers will also discover a number of interesting extension topics in longitudinal neuroimaging studies, subject-centered analysis, and the brain connectome. As such, the book will benefit all health informatics postgraduates, neuroscience researchers, neurology and psychiatry practitioners, and policymakers who are interested in medical image computing and computer-assisted interventions.<
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Human-Aware Robotics: Modeling Human Motor Skills for the Design, Planning and Control of a New Generation of Robotic Devices
This book moves from a thorough investigation of human capabilities during movements and interactions with objects and environment and translates those principles into the design planning and control of innovative mechatronic systems, providing significant advancements in the fields of human–robot interaction, autonomous robots, prosthetics and assistive devices. The work presented in this monograph is characterized by a significant paradigmatic shift with respect to typical approaches, as it always place the human at the center of the technology developed, and the human represents the starting point and the actual beneficiary of the developed solutions. The content of this book is targeted to robotics and neuroscience enthusiasts, researchers and makers, students and simple lovers of the matter.
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Formal Modeling and Analysis of Timed Systems
This book constitutes the refereed proceedings of the 16th International Conference on Formal Modeling and Analysis of Timed Systems, FORMATS 2018, held in Beijing, China, in September 2018.The 14 papers presented in this volume were carefully reviewed and selected from 29 submissions. The papers are organized in the following topical sections: invited papers, temporal logics, distributed timed systems, behavioral equivalences, timed words, and continuous dynamical systems. The aim of FORMATS is to promote the study of fundamental and practical aspects of timed systems, and to bring together researchers from different disciplines that share interests in modeling and analysis of timed systems and, as a generalization, hybrid systems.
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Language Modeling for Information Retrieval
A statisticallanguage model, or more simply a language model, is a prob abilistic mechanism for generating text. Such adefinition is general enough to include an endless variety of schemes. However, a distinction should be made between generative models, which can in principle be used to synthesize artificial text, and discriminative techniques to classify text into predefined cat egories. The first statisticallanguage modeler was Claude Shannon. In exploring the application of his newly founded theory of information to human language, Shannon considered language as a statistical source, and measured how weH simple n-gram models predicted or, equivalently, compressed natural text. To do this, he estimated the entropy of English through experiments with human subjects, and also estimated the cross-entropy of the n-gram models on natural 1 text. The ability of language models to be quantitatively evaluated in tbis way is one of their important virtues. Of course, estimating the true entropy of language is an elusive goal, aiming at many moving targets, since language is so varied and evolves so quickly. Yet fifty years after Shannon's study, language models remain, by all measures, far from the Shannon entropy liInit in terms of their predictive power. However, tbis has not kept them from being useful for a variety of text processing tasks, and moreover can be viewed as encouragement that there is still great room for improvement in statisticallanguage modeling.
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Modeling, Design, Construction, and Operation of Power Generators with Solid Oxide Fuel Cells
The book summarizes the current state of the solid oxide fuel cell (SOFC) technology in power generation applications. It describes the single cells, SOFC stacks, micro-combined heat and power systems, large-scale stationary power generators and polygeneration units. The principles of modeling, simulation and controls of power systems with solid oxide fuel cells are presented and discussed. Authors provide theoretical background of the technology followed by the essential insights into the integrated power systems. Selected aspects of the design, construction and operation of power units in range from single kilowatts to hundreds of kilowatts are presented. Finally, the book reports the selected studies on prototype systems which have been constructed in Europe.The book discusses the theoretical and practical aspects of operation of power generators with solid oxide fuel cells including fabrication of cells, design of stacks, system modeling, simulation of stationary and non-stationary operation of systems, fuel preparation and controls.
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Business Modeling and Software Design
This book contains the extended and revised versions of selected papers from the Third International Symposium on Business Modeling and Software Design (BMSD 2013), held in Noordwijkerhout, The Netherlands, during July 8-10, 2013. The symposium was organized and sponsored by the Interdisciplinary Institute for Collaboration and Research on Enterprise Systems and Technology (IICREST), in cooperation with the Dutch Research School for Information and Knowledge Systems (SIKS), the Center for Telematics and Information Technology (CTIT), Aristotle University of Thessaloniki (AUTH), and AMAKOTA Ltd. The theme of BMSD 2013 was "Enterprise Engineering and Software Generation."The 13 full and 20 short papers presented at BMSD 2013 were selected from 56 submissions. The eight papers published in this book were carefully reviewed and selected from the 13 full papers. The selection includes papers touching upon a large number of research topics, ranging from more conceptual ones, such as modeling landscapes, process modeling, declarative business rules, and normalized systems to more practical ones, such as business-case development and performance indicators, and from more business-related topics, such as value modeling and service systems, to topics related to information architectures.
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Modeling and Using Context
The refereed proceedings of the 4th International and Interdisciplinary Conference on Modeling and Using Context, CONTEXT 2003, held in Stanford, CA, USA in June 2003.The 31 full papers and 15 short papers presented were carefully reviewed, selected, and revised for inclusion in the book. The papers presented deal with the interdisciplinary topic of modeling and using context from various points of view, ranging through cognitive science, formal logic, artifical intelligence, computational intelligence, philosophical and psychological aspects, and information processing. Highly general philosophical and theoretical issues are complemented by specific applications in various fields.
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Generative Complexity in a Complex Generative World
This book introduces a refreshing approach to twenty-first-century scientific approach in an age, which is also known as the Century of Complexity. It deals with the deep problem of complexity, being operative from the bottom-up. The current lack of understanding of complexity has led scholars into the so-called embarrassment of complexity. A long overdue paradigm shift is necessary to address complexity as generative complexity and brings readers to the edge of a scientific revolution: that is, a generative revolution in the Century of Complexity. The book offers a radical shift of paradigm from the paradigm of simplifying into the new generative paradigm of complexifying about processes that develop from the bottom-up. The book links complex generative reality with a corresponding radical new generative nature of order and explores new fronts in science. This book explores innovative concepts of interaction, of causality, of the unit of study, and of reality itself and enables readers to see complexity as generative, emergent complexity as being operative from the bottom-up. The book discusses and suggests solutions for the problem of complexity in this Century of Complexity. The author provides a new understanding of complexity based on a generative flux of forces and relations. The book aims to bring about a fundamental and foundational change in how we view and ‘do’ science for an interdisciplinary audience of academics ranging from social science and humanities to economy and biology.
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Modeling Mineral and Energy Markets
This book provides a framework for analyzing and forecasting a variety of mineral and energy markets and related industries. Such modeling activity has been at the forefront of the economic and engineering professions for some time, having received a major stimulus fC?llowing the first oil price shock in 1973. Since that time, other shocks have affected these markets and industries, causing disequilibrium economic adjustments which are difficult to analyze and to predict. Moreover, geopolitics remains an important factor which can destabilize crude oil markets and associated refining industries. Mineral and energy modeling, consequently, has become a major interest of energy-related corporations, mining and drilling companies, metal manufacturers, public utilities, investment banks,. national government agencies and international organizations. This book hopes to advance mineral and energy modeling as follows: (1) The modeling process is presented sequentially by leading the model builder from model specification, estimation, simulation, and validation to practical model applications, including explaining history, analyzing policy, and market and price forecasting; (2) New developments in modeling approaches are presented which encompass econometric market and industry models, spatial equilibrium and programming models, optimal resource depletion models, input-output models, economic sector models, and macro oriented energy interaction models (including computable general equilibrium); (3) The verification and application of the models is considered not only individually but also in relation to the performance of alternative modeling approaches; and (4) The modeling framework includes a perspective on new directions, so that the present model building advice will extend into the future.
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Architecting a Framework for Edge AI Functional and Non-functional Requirements
This book presents a comprehensive exploration of the functional and non-functional requirements that define edge AI systems, including technical, ethical, legal, and regulatory dimensions. It offers a holistic perspective that spans hardware, software, the AI technology stack, and the data pipelines supporting applications across the micro-, deep-, and meta-edge continuum. Edge AI systems are evaluated through their key properties—functionality, performance, cost, dependability, and trustworthiness. The book closely interlinks these requirements with the concepts of system dependability and trust. Dependability is presented as the backbone of real-time edge AI performance, where services must be delivered reliably within strict timeframes. Trustworthiness is defined as the system’s ability to meet both functional and non-functional requirements in a verifiable manner—ensuring transparency, correctness, and alignment with human oversight. The chapters emphasize how building trust in edge AI is not merely a technical task, but a collaborative process across technical, ethical, and legal/regulatory domains. Establishing trustworthiness requires the careful definition of requirements, measurement of key performance indicators (KPIs), continuous monitoring, transparent processes, and alignment with broader societal values. Written for researchers, engineers, and students eager to understand the next frontier of edge intelligence, the book invites readers to engage with cutting-edge discussions on performance, accountability, and responsibility in AI at the edge. It is both an academic resource and a practical guide for those seeking to design, validate, and deploy edge AI systems that are not only high-performing but also dependable, trustworthy, and socially aligned.
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Numerical Modeling of the Global Atmosphere in the Climate System
21. Simulating Future Climate G. J. Boer 1 Introduction. . . . . . . . . . . . . . . . 489 2 International Aspects . . . . . . . . . . . 490 3 Simulating Historical and Future Climate 492 4 Climate Change in the 20th Century . . . 495 5 Simulating Future Climate Change 498 6 Climate Impact, Adaptation, and Mitigation 501 7 Summary . 502 Index 505 PREFACE Numerical modeling ofthe global atmosphere has entered a new era. Whereas atmospheric modeling was once the domain ofa few research units at universities or government laboratories, it can now be performed almost anywhere thanks to the affordability of computing power. Atmospheric general circulation models (GCMs) are being used by a rapidly growing scientific community in a wide range of applications. With widespread interest in anthropogenic climate change, GCMs have a role also in informing policy discussions. Many of the scientists using GCMs have backgrounds in fields other than atmospheric sciences and may be unaware of how GCMs are constructed. Recognizing this explosion in the application of GCMs, we organized a two week course in order to give young scientists who are relatively new to the field of atmospheric modeling a thorough grounding in the basic principles on which GCMs are constructed, an insight into their strengths and weaknesses, and guid ance on how meaningful numerical experiments are formulated and analyzed. Sponsored by the North Atlantic Treaty Organization (NATO) and other institu tions, this Advanced Study Institute (ASI) took place May 25-June 5, 1998, at II Ciocco, a remote hotel on a Tuscan hillside in Italy.
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Pioneers in AI
An original deep dive into the evolution of OpenAI and insight into the future of powerful AI systems. In Pioneers in AI: OpenAI and the Builders of Artifical Intlligence, Miquel Noguer, founder of the Artificial Intelligence Finance Institute, delivers an eye-opening discussion on OpenAI. A trailblazing company building the future of AI, Noguer details its journey and innovation via a compelling narratove, examining both its successes and failures, and providing readers with crucial insights into the future of transformatiive AI and its impact on society. The book offers a collection of human stories and deep technical dives on the people and products that make up OpenAI. Readers will learn about the company’s origins, the challenges they faced and overcame, the products and services they created, and the dreams that drive OpenAI as its leaders chart a path into an exciting future. Pioneers in AI provides critical insights for future attempts to align powerful AI systems with human values. Inside the book: Detailed discussions of the technical milestones reached by OpenAI as revealed in academic papers, industry reports, and product announcementsBiographies of key figures in the company, with a focus on how their backgrounds, professional trajectories, and philosophical orientations shaped OpenAIExplorations of the societal and cultural impact of AI technologies created by OpenAI and its leaders Perfect for researchers, practitioners, policymakers, and more, Pioneers in AI is a must read that offers a comprehensive, factual, and analytically grounded account of OpenAI’s evolution and impact.
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Stochastic Modeling of Microstructures
This book is for a general scientific and engineering audience as a guide to current ideas, methods, and models for stochastic modeling of microstructures. It is a reference for professionals in material modeling, mechanical engineering, materials science, chemical, civil, environmental engineering and applied mathematics.
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Molecular Mechanisms of Neurodegenerative Diseases
The field ofneurodegenerative diseases is undergoing an unprecedented revolution. The past decade has seen the identification of new mutation mecha- nisms, such as triplet repeat expansions, and new genes causing familial forms of common neurodegenerative diseases, such as Parkinson's and Alzheimer's diseases. Cellular and animal models based on this genetic information are now available and, importantly, common mechanisms are rapidly emerging among diseases that were once considered unrelated. The field is poised for the development of new therapies based on high throughput screenings and a bet- ter understanding of the molecular and cellular mechanisms leading to neurodegeneration. Molecular Mechanisms of Neurodegenerative Diseases reviews recent progress in this exploding field. By nature, such a book cannot be all inclu- sive. It focuses on Alzheimer's, Parkinson's, and CAG triplet repeat diseases. In the first chapter, Bill Klein reviews the role of A~ toxicity in the patho- physiology of Alzheimer's disease. This controversial issue is further exam- ined in the context of transgenic models of Alzheimer's disease by LaFerla and colleagues.Sue Griffin and Robert Mrak, and Caleb Finch and collabora- tors, then examine the role of glial cells and inflammation in Alzheimer's disease; a review of the role of proteolysis in the generation of abnormal pro- tein fragments by Hook and Mende-Mueller follows. Therapeutic opportuni- ties offered by a better understanding of Alzheimer's disease pathophysiology are examined by Perry Molinoff and his colleagues at Bristol-Myers Squibb.
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Programmed Alternative Reading of the Genetic Code
2. The Translational Machinery ...5 Translation Initiation in Prokaryotes ...6 Translation Initiation in Eukaryotes ...8 14 Translation Elongation ...Translation Termination in Prokaryotes ...16 Translation Termination in Eukaryotes ...17 Error Correction in Translation ...18 A Structural Basis of Error Correction in Translation ...20 Ribosome Editing: A Failsafe Error Correction Mechanism ...22 Conclusions ...22 3. Errors During Elongation Can Cause Translational 29 Frameshifting ...Spontaneous Frameshifting Versus Programmed Frameshifting ...30 Spontaneous Frameshifts Can Be Induced at Specific Codons ...31 4. Programmed +1 Frameshifting ...41 The pifE Gene of E. coli ...41 Using the pifE System to Study General Frameshifting in E. coli ...46 Ty Retrotransposons in Yeast ...47 Frameshifting in Retrotransposon Ty1 Occurs by tRNA Slippage ...48 Frameshifting in Retrotransposon Ty3 Occurs by Out-of-Frame Binding of tRNA ...51 The Rat Ornithine Decarboxylase Antizyme Gene ...56 Summary ...62 5. Programmed -1 Frameshifting in Eukaryotes ...69 Programmed -1 Frameshifting in Eukaryotes ...69 -1 Frameshifting Occurs on a "Slippery Heptamer" ...71 The Simultaneous-Slippage Model ...72 of -1 Frameshifting by a Downstream Pseudoknot ...77 Stimulation Does the Pseudoknot Only Block Passage of the Ribosome? ...79 Not All Pseudoknots Which Cause Ribosomes to Pause Can Stimulate -1 Frameshifting ...84 Is There a Pseudoknot Recognizing Factor? ...88 Some Simultaneous-Slippage Sites Do Not Include a Stimulatory Pseudo knot ...91 Frameshifting Regulates a Morphogenetic Process ...92 6. Programmed -1 Frameshift Sites in Prokaryotes ...103 The dnaXGene: -1 Frameshifting Stimulated by Both Upstream and Downstream Elements ...103 Programmed -1 Frameshifts in Insertion Sequences Are Mechanistically Diverse ...
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