詳細資訊
書名:Modern Organic Synthesis: An Introduction 2/E 作者:ZWEIFEL 出版社:WILEY 出版日期:2017/03/27 ISBN:9781119086536
詳細資訊
書名:Modern Organic Synthesis: An Introduction 2/E 作者:ZWEIFEL 出版社:WILEY 出版日期:2017/03/27 ISBN:9781119086536
為您推薦
其他會員也一起購買
Introduction to Spectroscopy 5/e 有機光譜學 +作者:Pavia +年份:2015 年5 版 +ISBN:9789865632021 +書號:CE0241 +規格:菊8開/平裝/單色 +頁數:784 +出版商:聖智學習 A TRUSTED, PROVEN RESOURCE: For more than 30 years, this text has proven to be an excellent resource for spectroscopy students and those seeking a solid introductory reference text on spectroscopy. MODERN COVERAGE: The book provides a modern presentation on one-dimensional NMR spectroscopy. DETAILED COVERAGE: The mass spectrometry material in Chapter 8 provides a detailed look at biological molecules for the latest coverage on this important topic. NEWEST SPECTRA TECHNIQUES: The latest spectra techniques are provided in Appendix 10, "Index of Spectra". UP-TO-DATE SPECTROGRAPHS: Throughout the text, spectrographs are created with the latest techniques to ensure accuracy. 目錄 1. Molecular Formulas and What Can Be Learned from Them. 2. Infrared Spectroscopy. 3. Mass Spectrometry Part One: Basic Theory, Instrumentation, and Sampling Techniques. 4. Mass Spectrometry Part Two: Fragmentation and Structural Analysis. 5. Nuclear Magnetic Resonance Spectroscopy Part One: Basic Concepts. 6. Nuclear Magnetic Resonance Spectroscopy Part Two: Carbon-13 Spectra, Including Heteronuclear Coupling with Other Nuclei. 7. Nuclear Magnetic Resonance Spectroscopy Part Three: Spin-Spin Coupling. 8. Nuclear Magnetic Resonance Spectroscopy Part Four: Other Topics in One-Dimensional NMR. 9. Nuclear Magnetic Resonance Spectroscopy Part Five: Advanced NMR Techniques. 10. Ultraviolet Spectroscopy. 11. Combined Structure Problems. Answers to Selected Problems.
其他會員也一起購買
【原文少量特別書籍 若無貨可能須等候5-7日以上 因”客制特別調書不收退貨” 可接受在下單】 (繁體中文7版) Lehninger生物化學(Lehninger Principles of Biochemistry 7e) 204-060C/9789863684398 ISBN 9789863684398 作者/出版社 *許晉銓等/ 合記 出版年代/版次 2022/7 (原文8版) Lehninger Principles of Biochemistry (IE) 204-8149/9781319381493 ISBN 9781319381493 作者/出版社 Nelson / Macmillan 出版年代/版次 2021/8 重量:3.3kg 頁數:1312 裝訂:精裝 開數: 28.6 x 21.3 cm 印刷:彩色 譯者:林民昆.許晉銓.黃翠婷.陳祖豐.鄧洪音.陳煥源 簡介 《Lehninger 生物化學》是生物化學領域中重要的教科書之一,由David L. Nelson和 Michael M. Cox兩位傑出的學者擔任主編。本書從結構與催化作用、生物能量與代謝,以及訊息途徑的三個面向分成蛋白質的三維結構、檸檬酸循環、DNA代謝等共二十八個章節,新增入的內容包含:合成細胞與疾病基因體學、利用CRISPR進行基因編輯、RNA識別序列等新主題,並於各章均有相對應的關鍵術語、問題、數據分析問題等供讀者使用。本書除了內容的豐富性,精美的插圖與圖片也是此書的一大優點,對於想了解生物化學原理的讀者來說,不啻為首選。 前言 隨著提供細胞和生物內分子層次程序的觀察技術日益強大,生物化學的進步不斷加快,帶來了新的奇蹟和新的挑戰。我們在第七版Lehninger 生物化學中的目標與以往一樣,是要取得平衡:包含新的令人興奮的研究發現,但不會讓學生不堪負荷這本書。其所包含主要的內容是新發現的原理,有助於說明生物化學的最新進展。 藉由每次對本教科書進行修訂,我們企圖讓Lehninger 的內容能夠一直維持它的經典:清晰的寫作、對困難概念的仔細解釋,以及用易理解和實踐的方式向學生深入介紹當今生物化學。我們共同著作這本書,並一起教授了三十年的生物化學入門知識。那些年來,威斯康辛大學麥迪遜分校的成千上萬名學生,一直是啟發我們如何更清晰地展示生物化學的源泉。我們希望Lehninger 的第七版會反過來啟發各地的生物化學專業的學生,並激發他們像我們一樣熱愛生物化學。 目錄 前言 ix 1 生物化學的基礎 1 I 結構與催化作用 45 2 水 47 3 胺基酸、胜肽和蛋白質 75 4 蛋白質的三維結構 115 5 蛋白質功能 157 6 酵素 187 7 碳水化合物與醣生物學 241 8 核苷酸與核酸 279 9 與DNA 訊息相關的生物技術 319 10 脂質 361 11 生物膜及轉運 387 12 生物訊息 437 II 生物能量與代謝 491 13 生物能量和生物化學反應類型 495 14 糖解、糖質新生作用和戊糖磷酸途徑 533 15 代謝調節的原理 575 16 檸檬酸循環 619 17 脂肪酸分解代謝 649 18 胺基酸氧化和尿素製造 675 19 氧化磷酸化 711 20 植物的光合作用及碳水化合物合成 755 21 脂質生物合成 811 22 胺基酸、核苷酸及相關分子的生物合成 859 23 激素調節和哺乳動物代謝的整合 907 III 訊息途徑 955 24 基因體和染色體 957 25 DNA 代謝 987 26 RNA 代謝 1035 27 蛋白質代謝 1077 28 基因表現的調控 1127 課後問題簡要解答 AS-1 詞彙 G-1 索引 I-1 資源 R-1
類似書籍推薦給您
類似書籍推薦給您
【簡介】 The first comprehensive introduction to Multi-Agent Reinforcement Learning (MARL), covering MARL’s models, solution concepts, algorithmic ideas, technical challenges, and modern approaches.Multi-Agent Reinforcement Learning (MARL), an area of machine learning in which a collective of agents learn to optimally interact in a shared environment, boasts a growing array of applications in modern life, from autonomous driving and multi-robot factories to automated trading and energy network management. This text provides a lucid and rigorous introduction to the models, solution concepts, algorithmic ideas, technical challenges, and modern approaches in MARL. The book first introduces the field’s foundations, including basics of reinforcement learning theory and algorithms, interactive game models, different solution concepts for games, and the algorithmic ideas underpinning MARL research. It then details contemporary MARL algorithms which leverage deep learning techniques, covering ideas such as centralized training with decentralized execution, value decomposition, parameter sharing, and self-play. The book comes with its own MARL codebase written in Python, containing implementations of MARL algorithms that are self-contained and easy to read. Technical content is explained in easy-to-understand language and illustrated with extensive examples, illuminating MARL for newcomers while offering high-level insights for more advanced readers. First textbook to introduce the foundations and applications of MARL, written by experts in the fieldIntegrates reinforcement learning, deep learning, and game theoryPractical focus covers considerations for running experiments and describes environments for testing MARL algorithmsExplains complex concepts in clear and simple languageClassroom-tested, accessible approach suitable for graduate students and professionals across computer science, artificial intelligence, and robotics Resources include code and slides
類似書籍推薦給您
【簡介】 These two volumes cover the classical topics typically taught in undergraduate physics courses and beyond. However, we teach classical physics using a very different language from traditional books, influenced by the language of modern physics, in a move to encourage a positive approach towards the latter subject. Based around the unifying concept of energy, we take a distinct approach to the organisation of material, presenting physics in a cohesive manner without separating topics such as mechanics, kinematics, thermodynamics, electricity, and magnetism. Instead, physics is revealed gradually, emphasising a holistic approach to science. Despite this peculiarity, we have maintained the conventional separation between Physics I and II to assist teachers in smoothly integrating these books into their courses.These innovative volumes present valuable new perspectives. Although their approach is bold, they will certainly prompt interesting reflections on traditional teachings. A significant portion of this second volume is committed to modern physics, including an introduction to the standard model of fundamental interactions. The old quantum mechanics is largely excluded in favour of quantum field theory, which we present in a manner accessible to undergraduate students.
類似書籍推薦給您
【簡介】 These lecture notes are thought for Master courses in Finance, Fintech and Quantitative Finance programmes. We fully subscribe to the philosophy that post-graduate students should be offered courses that are really at the cutting edge of the technologies and advances that are disrupting the financial industry and delve deep into topics such as A.I., machine learning, and their importance for Asset Management.In these notes, the illustration of the theory of Finance is paired with practical applications to real-life asset allocation problems. A hands-on approach is proposed to construct and manipulate databases to build portfolios, assess their performance and manage their risk. The course begins with a section on the fundamentals on individual choice to market valuation, covering the traditional Markowitz mean-variance approach, market-based asset pricing and Arbitrage-based pricing theory.Empirical modelling in finance is then introduced by illustrating its working and its historical evolution. The translation of financial theory into action on data is driven by building predictive models for asset prices and returns. Basic models are explored, and programming emerges as an essential prerequisite for data manipulation. Readers can acquaint themselves with the statistical software R and exhibit the application of theoretical concepts to financial data, illustrated by sample programs, exercises, and corresponding solutions.