From Five Practical Approaches to One Stem-Asterful Paper 五法歸一 (1版)

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【簡介】 From Five Practical Approaches to One STEM-asterful Paper sets sail with the conviction that to foster impactful science, we must treat scientific thinking as a form of reflection; to cultivate a reflective mind, we must use writing as a medium for thought; to grow thinking-through writing, we must offer concrete resources as a facilitator of learning. Built on the success of a writing course offered by the Academic Writing Education Center, National Taiwan University, this book blends thinking-through writing with actionable guidance to foster confidence and competence in navigating the complexities of STEM research paper writing. The first ever of its kind in Taiwan, From Five Practical Approaches to One STEM-asterful Paper is a proven resource for both STEM students striving to sharpen their writing skills and writing instructors seeking to strengthen their STEM-related instruction. Highlights: • A conventional structuring model — The model provides novice STEM research paper writers with a reliable foundation for understanding disciplinary norms and making meaningful alterations. • A five-approach framework — The framework ensures that the five paper sections are each conceptually grounded as a meaningful unit and together functionally integrated as a conceptual totality. • Authentic material — Carefully chosen excerpts from STEM research papers illustrate how writers perform communicative tasks. • Full-text analyses — End-of-unit paper analyses test the five approaches and promote critical reading and strategic thinking. • Contextualized language instruction — Short language lessons are closely tied to communicative tasks to demonstrate how writers make purposeful linguistic choices. 科學的影響力從來不是理論自帶光芒，而是源自研究者不斷探索、不斷質疑、不斷修正的思維習慣。當研究者願意於書寫中傾聽自己，讓思緒得以流動與回望，科學才得以沉澱出深度，散發出溫度。書寫能梳理繁複，也能映照盲點，但若缺乏紮實的養分，終究難以滋養更長遠的科學求知之道。《五法歸一：理工論文卓越之道》因此而生，期待以豐富的學習資源，讓寫作成為思維生長的沃土。 本書承襲臺灣大學寫作教學中心的成功課程經驗，結合以寫促思的理念與可落實的寫作指引，引領讀者在STEM論文寫作的曲折林道上，紮根自信之土壤，吸納技巧之養分。作為台灣STEM寫作教學的先驅之作，《五法歸一：理工論文卓越之道》是學生精進寫作技巧的絕佳資源，也是寫作教師強化教學的重要參考。 五大亮點  慣用結構 — 奠定論文骨架，鼓勵個人化微調。  五法框架 — 兼容獨立與連貫，成就完整概念體系。  真實素材 — 精選論文語料，示範研究者的溝通實踐。  文本剖析 — 驗證五法框架，強化批判閱讀與策略思考能力。  情境語言 — 結合溝通任務，展現目標導向的語用選擇。

Computational Approaches to Conscious Artificial Intelligence

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Artificial Intelligence (AI) has seen rapid advancements in recent years, particularly in the areas of deep learning and the ability to generalize from concrete objects to abstract concepts. Meanwhile, in the study of machine consciousness, a universally agreed definition among scientists and philosophers is still lacking. This book raises a number of issues surrounding the nature and implications of conscious artificial intelligence: How might concepts developed through research in machine consciousness enhance the functionality of AI systems, making them fully autonomous? If self-explanatory information is related to qualia, does this imply that machines using self-explanatory information are conscious? How is the interpretation of intelligence related to a system's ability to generate accurate predictions? Is machine consciousness ultimately possible? And how might it be examined from an ethical standpoint? This edited volume consists of 10 chapters that highlight the prospects of machine consciousness and study the subject from several perspectives. The issues are wide-ranging and include topics such as the metaverse, a computational approach to pain and suffering, universal cognitive intelligence, intentional action, the categorization of conscious machines, and more. The volume is designed as a reference guide for researchers, practitioners, and students interested in the intersection of AI and consciousness. Sample Chapter(s) Preface Chapter 1: The Conscious Machine Contents: The Conscious Machine (Yan H Ng and Antonio Chellaa) The Category of Machines that Become Conscious: An Example of Memory Modelling (Igor Aleksander) A Constructive Explanation of Consciousness and its Implementation (Pei Wang) On Artificial Intelligence, Consciousness and Robots (Pentti O A Haikonen) Universal Cognitive Intelligence, from Cognitive Consciousness, and Lambda (Λ) (Selmer Bringsjord, Naveen Sundar Govindarajulu and James Oswald) Intelligence and Consciousness in Natural and Artificial Systems (David Gamez) Attention and Consciousness in Intentional Action: Steps Toward Rich Artificial Agency (Paul Bello and Will Bridewell) Artificial Conscious Intelligence: Why Machine Consciousness Matters to AI (JJames A Reggia, Garrett E Katz and Gregory P Davis) Will Conscious Digital Creatures Roam the Metaverse? (Owen Holland) On the Ethics of Constructing Conscious AI (Shimon Edelman) Readership: Researchers, practitioners, students, informed readers interested in the intersection of Artificial Intelligence and Consciousness.

Chemical Biology: Approaches to Drug Discovery and Development to Targeting Disease

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【簡介】 An authoritative look at the application of chemical biology in drug discovery and development Based on the award-winning Wiley Encyclopedia of Chemical Biology published in 2008, this book explores the role of chemical biology in drug discovery and development. The first part of the book reviews key principles and techniques used in the design and evaluation of drug candidates. The second part elucidates biological mechanisms of certain diseases, illuminating approaches to investigate and target these diseases. Comprising carefully selected reprints from the Encyclopedia as well as new contributions from leading scholars in the field, this book provides researchers in academia and industry with important information to aid in the development of novel agents to treat disease. Self-contained articles cover a variety of essential topics, including: The design, development, and optimization of drug candidates The pharmacokinetics and properties of drugs Drug transport and delivery Natural products and natural product models as pharmaceuticals Biological mechanisms underlying health and disease Treatment strategies for a range of diseases, from HIV to schizophrenia Chemical Biology is a top-notch guide and reference for anyone working in the areas of drug discovery and development, including researchers in chemical biology and other fields such as biochemistry, medicine, and pharmaceutical sciences. 【目錄】

Computational Approaches to Energy Materials 書角右上方輕微擠壓到

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【簡介】 The development of materials for clean and efficient energy generation and storage is one of the most rapidly developing, multi-disciplinary areas of contemporary science, driven primarily by concerns over global warming, diminishing fossil-fuel reserves, the need for energy security, and increasing consumer demand for portable electronics. Computational methods are now an integral and indispensable part of the materials characterisation and development process. Computational Approaches to Energy Materials presents a detailed survey of current computational techniques for the development and optimization of energy materials, outlining their strengths, limitations, and future applications. The review of techniques includes current methodologies based on electronic structure, interatomic potential and hybrid methods. The methodological components are integrated into a comprehensive survey of applications, addressing the major themes in energy research. Topics covered include: • Introduction to computational methods and approaches • Modelling materials for energy generation applications: solar energy and nuclear energy • Modelling materials for storage applications: batteries and hydrogen • Modelling materials for energy conversion applications: fuel cells, heterogeneous catalysis and solid-state lighting • Nanostructures for energy applications This full colour text is an accessible introduction for newcomers to the field, and a valuable reference source for experienced researchers working on computational techniques and their application to energy materials. 【目錄】