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A Student Handbook for Writing in Biology

by Karin Knisely

This book provides practical advice to students who are learning to write according to the conventions in biology, including step-by-step guidance and numerous examples of faulty writing (along with revisions) to alert students to pitfalls when writing different sections of a scientific paper. Most of the sections are designed to stand alone so that readers can look up a topic in the index and find the answer to their question. Those who want to learn more about the topic have the option of reading related sections or entire chapters. Most first-year students have had little experience producing Greek letters and mathematical symbols, sub- and superscripted characters, graphs, tables, drawings, and equations. For exactly this reason, almost half of the book is devoted to Microsoft Word, Excel, and PowerPoint features that enable scientists to produce professional quality papers, graphs, posters, and oral presentations effectively and efficiently.

A Student Handbook for Writing in Biology

by Karin Knisely

The newest edition of Knisely�s Student Handbook for Writing in Biology is the helping hand your students are looking for, offering the support they need to write within the conventions of biology. Topics range from reading technical literature and writing scientific papers, to preparing lab reports and giving oral presentations of scientific findings. Students get practical advice from MS Office appendices, tutorial videos, and various checklists. Examples and resources throughout the text show not just what to do, but how to do it.The newest edition mirrors the ways students use online resources and social media platforms for research, making sure the information is both credible and relevant. A new statistics chapter covers the application of descriptive statistics to actual datasets and selected tests of significance.

A Student Handbook for Writing in Biology

by Karin Knisely

A Student Handbook for Writing in Biology, Fifth Edition, provides practical advice to students who are learning to write according to the conventions in biology. The first chapter introduces the scientific method and experimental design. Because the scientific method relies on the work of other scientists, Chapter 2 provides instructions for finding primary literature using article databases and scholarly search engines. Journal articles have a well-defined structure, but are typically hard to read because they are written for specialists. To help students read and comprehend the technical literature, Chapter 3 describes scientific paper tone and format, provides strategies for reading technical material, emphasizes the importance of paraphrasing when taking notes, and gives examples of how to present and cite information to avoid plagiarism. Using the standards of journal publication as a model, students are then given specific instructions for writing their own laboratory reports with accepted format and content, self-evaluating drafts, and using peer and instructor feedback to refine their writing. Besides writing about it, scientists communicate scientific knowledge through posters and oral presentations. How these presentation forms differ from papers in terms of purpose, content, and delivery is the subject of the last two chapters of the book. <p><p>Scientific communication requires more than excellent writing skills--it requires technical competence on the computer. Most first-year students have had little experience producing Greek letters and mathematical symbols, sub- and superscripted characters, graphs, tables, and equations. Yet these are characteristics of scientific papers that require a familiarity with the computer beyond basic keyboarding skills. Furthermore, most first-year students are used to doing calculations on a handheld calculator. When they learn how to use Excel's formulas to do repetitive calculations, their time spent on data analysis decreases markedly. For exactly these reasons, almost half of the book is devoted to Microsoft Word, Excel, and PowerPoint features that enable scientists to produce professional quality papers, graphs, posters, and oral presentations effectively and efficiently.

A Student's Guide Through the Great Physics Texts: Volume III: Electricity, Magnetism and Light (Undergraduate Lecture Notes in Physics)

by Kerry Kuehn

This book provides a chronological introduction to the science of motion and rest based on the reading and analysis of significant portions of Galileo's Dialogues Concerning Two New Sciences, Pascal's Treatise on the Equilibrium of Fluids and the Weight of the Mass of Air, Newton's Mathematical Principles of Natural Philosophy, and Einstein's Relativity. Each chapter begins with a short introduction followed by a reading selection. Carefully crafted study questions draw out key points in the text and focus the reader's attention on the author's methods, analysis, and conclusions. Numerical and laboratory exercises at the end of each chapter test the reader's ability to understand and apply key concepts from the text. Space, Time and Motion is the second of four volumes in A Student's Guide through the Great Physics Texts. This book grew out of a four-semester undergraduate physics curriculum designed to encourage a critical and circumspect approach to natural science, while at the same time preparing students for advanced coursework in physics. This book is particularly suitable as a college-level textbook for students of the natural sciences, history or philosophy. It also serves as a textbook for advanced high-school students, or as a thematically-organized source-book for scholars and motivated lay-readers. In studying the classic scientific texts included herein, the reader will be drawn toward a lifetime of contemplation.

A Student's Guide to Analytical Mechanics (Student's Guides)

by John L. Bohn

Analytical mechanics is a set of mathematical tools used to describe a wide range of physical systems, both in classical mechanics and beyond. It offers a powerful and elegant alternative to Newtonian mechanics; however it can be challenging to learn due to its high degree of mathematical complexity. Designed to offer a more intuitive guide to this abstract topic, this guide explains the mathematical theory underlying analytical mechanics; helping students to formulate, solve and interpret complex problems using these analytical tools. Each chapter begins with an example of a physical system to illustrate the theoretical steps to be developed in that chapter, and ends with a set of exercises to further develop students' understanding. The book presents the fundamentals of the subject in depth before extending the theory to more elaborate systems, and includes a further reading section to ensure that this is an accessible companion to all standard textbooks.

A Student's Guide to Atomic Physics (Student's Guides)

by Mark Fox

This concise and accessible book provides a detailed introduction to the fundamental principles of atomic physics at an undergraduate level. Concepts are explained in an intuitive way and the book assumes only a basic knowledge of quantum mechanics and electromagnetism. With a compact format specifically designed for students, the first part of the book covers the key principles of the subject, including the quantum theory of the hydrogen atom, radiative transitions, the shell model of multi-electron atoms, spin-orbit coupling, and the effects of external fields. The second part provides an introduction to the four key applications of atomic physics: lasers, cold atoms, solid-state spectroscopy and astrophysics. This highly pedagogical text includes worked examples and end of chapter problems to allow students to test their knowledge, as well as numerous diagrams of key concepts, making it perfect for undergraduate students looking for a succinct primer on the concepts and applications of atomic physics.

A Student's Guide to Data and Error Analysis

by Herman J. C. Berendsen

All students taking laboratory courses within the physical sciences and engineering will benefit from this 2011 book, whilst researchers will find it an invaluable reference. This concise, practical guide brings the reader up-to-speed on the proper handling and presentation of scientific data and its inaccuracies. It covers all the vital topics with practical guidelines, computer programs (in Python), and recipes for handling experimental errors and reporting experimental data. In addition to the essentials, it also provides further background material for advanced readers who want to understand how the methods work. Plenty of examples, exercises and solutions are provided to aid and test understanding, whilst useful data, tables and formulas are compiled in a handy section for easy reference.

A Student's Guide to Entropy

by Don S. Lemons

Striving to explore the subject in as simple a manner as possible, this book helps readers understand the elusive concept of entropy. Innovative aspects of the book include the construction of statistical entropy from desired properties, the derivation of the entropy of classical systems from purely classical assumptions, and a statistical thermodynamics approach to the ideal Fermi and ideal Bose gases. Derivations are worked through step-by-step and important applications are highlighted in over 20 worked examples. Around 50 end-of-chapter exercises test readers' understanding. The book also features a glossary giving definitions for all essential terms, a time line showing important developments, and list of books for further study. It is an ideal supplement to undergraduate courses in physics, engineering, chemistry and mathematics.

A Student's Guide to General Relativity (Student's Guides)

by Norman Gray

This compact guide presents the key features of general relativity, to support and supplement the presentation in mainstream, more comprehensive undergraduate textbooks, or as a re-cap of essentials for graduate students pursuing more advanced studies. It helps students plot a careful path to understanding the core ideas and basics of differential geometry, as applied to general relativity, without overwhelming them. While the guide doesn't shy away from necessary technicalities, it emphasises the essential simplicity of the main physical arguments. Presuming a familiarity with special relativity (with a brief account in an appendix), it describes how general covariance and the equivalence principle motivate Einstein's theory of gravitation. It then introduces differential geometry and the covariant derivative as the mathematical technology which allows us to understand Einstein's equations of general relativity. The book is supported by numerous worked exampled and problems, and important applications of general relativity are described in an appendix.

A Student's Guide to Maxwell's Equations

by Daniel Fleisch

Gauss's law for electric fields, Gauss's law for magnetic fields, Faraday's law, and the Ampere-Maxwell law are four of the most influential equations in science. In this guide for students, each equation is the subject of an entire chapter, with detailed, plain-language explanations of the physical meaning of each symbol in the equation, for both the integral and differential forms. The final chapter shows how Maxwell's equations may be combined to produce the wave equation, the basis for the electromagnetic theory of light. This book is a wonderful resource for undergraduate and graduate courses in electromagnetism and electromagnetics. A website hosted by the author at www. cambridge. org/9780521701471 contains interactive solutions to every problem in the text as well as audio podcasts to walk students through each chapter.

A Student's Guide to Natural Science (ISI Guides to the Major Disciplines #8)

by Stephen M. Barr

A concise introduction to scientific history and ideas, with a special emphasis on physics and astronomy. Physicist Stephen M. Barr&’s lucid Student&’s Guide to Natural Science aims to give students an understanding, in broad outline, of the nature, history, and great ideas of natural science from ancient times to the present, with a primary focus on physics. Barr begins with the contributions of the ancient Greeks, in particular the two great ideas that reality can be understood by the systematic use of reason and that phenomena have natural explanations. He goes on to discuss, among other things, the medieval roots of the scientific revolution of the seventeenth century, the role played by religion in fostering the idea of a lawful natural order, and the major breakthroughs of modern physics, including how many newer &“revolutionary&” theories are in fact related to much older ones. Throughout this thoughtful guide, Barr draws his readers&’ attention to the larger themes and trends of scientific history, including the increasing unification and &“mathematization&” of our view of the physical world that has resulted in the laws of nature appearing more and more as forming a single harmonious mathematical edifice.

A Student's Guide to Python for Physical Modeling: Second Edition

by Jesse M. Kinder Philip Nelson

A fully updated tutorial on the basics of the Python programming language for science studentsPython is a computer programming language that has gained popularity throughout the sciences. This fully updated second edition of A Student's Guide to Python for Physical Modeling aims to help you, the student, teach yourself enough of the Python programming language to get started with physical modeling. You will learn how to install an open-source Python programming environment and use it to accomplish many common scientific computing tasks: importing, exporting, and visualizing data; numerical analysis; and simulation. No prior programming experience is assumed.This guide introduces a wide range of useful tools, including:Basic Python programming and scriptingNumerical arraysTwo- and three-dimensional graphicsAnimationMonte Carlo simulationsNumerical methods, including solving ordinary differential equationsImage processingNumerous code samples and exercises—with solutions—illustrate new ideas as they are introduced. This guide also includes supplemental online resources: code samples, data sets, tutorials, and more. This edition includes new material on symbolic calculations with SymPy, an introduction to Python libraries for data science and machine learning (pandas and sklearn), and a primer on Python classes and object-oriented programming. A new appendix also introduces command line tools and version control with Git.

A Student's Guide to the Mathematics of Astronomy

by Daniel Fleisch Julia Kregenow

The study of astronomy offers an unlimited opportunity for us to gain a deeper understanding of our planet, the Solar System, the Milky Way Galaxy and the known Universe. Using the plain-language approach that has proven highly popular in Fleisch's other Student's Guides, this book is ideal for non-science majors taking introductory astronomy courses. The authors address topics that students find most troublesome, on subjects ranging from stars and light to gravity and black holes. Dozens of fully worked examples and over 150 exercises and homework problems help readers get to grips with the concepts in each chapter. An accompanying website features a host of supporting materials, including interactive solutions for every exercise and problem in the text and a series of video podcasts in which the authors explain the important concepts of every section of the book.

A Student's Guide to the Study, Practice, and Tools of Modern Mathematics (Discrete Mathematics and Its Applications)

by Martin Erickson Donald Bindner

A Student's Guide to the Study, Practice, and Tools of Modern Mathematics provides an accessible introduction to the world of mathematics. It offers tips on how to study and write mathematics as well as how to use various mathematical tools, from LaTeX and Beamer to Mathematica and Maple to MATLAB and R. Along with a color insert, the text include

A Student's Manual for A First Course in General Relativity

by Robert B. Scott

This comprehensive student manual has been designed to accompany the leading textbook by Bernard Schutz, A First Course in General Relativity, and uses detailed solutions, cross-referenced to several introductory and more advanced textbooks, to enable self-learners, undergraduates and postgraduates to master general relativity through problem solving. The perfect accompaniment to Schutz's textbook, this manual guides the reader step-by-step through over 200 exercises, with clear easy-to-follow derivations. It provides detailed solutions to almost half of Schutz's exercises, and includes 125 brand new supplementary problems that address the subtle points of each chapter. It includes a comprehensive index and collects useful mathematical results, such as transformation matrices and Christoffel symbols for commonly studied spacetimes, in an appendix. Supported by an online table categorising exercises, a Maple worksheet and an instructors' manual, this text provides an invaluable resource for all students and instructors using Schutz's textbook.

A Student’s Guide to Dimensional Analysis

by Don S. Lemons

This introduction to dimensional analysis covers the methods, history and formalisation of the field, and provides physics and engineering applications. Covering topics from mechanics, hydro- and electrodynamics to thermal and quantum physics, it illustrates the possibilities and limitations of dimensional analysis. Introducing basic physics and fluid engineering topics through the mathematical methods of dimensional analysis, this book is perfect for students in physics, engineering and mathematics. Explaining potentially unfamiliar concepts such as viscosity and diffusivity, the text includes worked examples and end-of-chapter problems with answers provided in an accompanying appendix, which help make it ideal for self-study. Long-standing methodological problems arising in popular presentations of dimensional analysis are also identified and solved, making the book a useful text for advanced students and professionals.

A Student’s Guide to Quantum Computing (Lecture Notes in Physics #1038)

by Stefano Olivares

This textbook provides a self-contained introduction to the principles and methods of quantum computation, designed for advanced undergraduate and graduate students. It introduces classical logic and quantum mechanics before presenting their integration in quantum computation. Key topics include quantum logic gates, foundational algorithms such as Deutsch-Jozsa and Bernstein-Vazirani, the quantum Fourier transform, and quantum search algorithms. Additional coverage includes quantum operations, error correction techniques, and physical implementations of quantum computation using technologies such as trapped ions and superconducting qubits. The book concludes with an examination of quantum computation through adiabatic evolution. The text is supplemented with exercises, solutions, and practical examples to support learning and application. It serves as a foundational resource for students and researchers pursuing studies in quantum computing and related fields.

A Student′s Guide to Cognitive Neuropsychology

by Ashok Jansari

Are all brains the same? What causes amnesia? And why did a man mistake his psychologist for George Michael? Find out the answers to these questions, and much more, in A Student′s Guide to Cognitive Neuropsychology. Written in an informative and accessible style, this comprehensive text guides you through the traditional areas of cognitive neuropsychology and beyond, applying core theoretical principles to real-world scenarios. Covering topics from memory to facial recognition, and from language to neglect, this textbook is essential reading for any student of cognitive neuropsychology. A Student′s Guide to Cognitive Neuropsychology also includes features to help enhance your understanding of cognitive neuropsychology, such as: Important researcher spotlights Key research studies Questions for reflection Further reading Ashok Jansari is Senior Lecturer in Cognitive Neuropsychology at Goldsmiths, University of London.

A Student′s Guide to Cognitive Neuropsychology

by Ashok Jansari

Are all brains the same? What causes amnesia? And why did a man mistake his psychologist for George Michael? Find out the answers to these questions, and much more, in A Student′s Guide to Cognitive Neuropsychology. Written in an informative and accessible style, this comprehensive text guides you through the traditional areas of cognitive neuropsychology and beyond, applying core theoretical principles to real-world scenarios. Covering topics from memory to facial recognition, and from language to neglect, this textbook is essential reading for any student of cognitive neuropsychology. A Student′s Guide to Cognitive Neuropsychology also includes features to help enhance your understanding of cognitive neuropsychology, such as: Important researcher spotlights Key research studies Questions for reflection Further reading Ashok Jansari is Senior Lecturer in Cognitive Neuropsychology at Goldsmiths, University of London.

A Study Guide for BABY DINOSAURS ON THE ARK?

by Janet Kellogg Ray

It&’s time to address the elephant in the ark. In Baby Dinosaurs on the Ark? The Bible and Modern Science and the Trouble of Making It All Fit, Janet Kellogg Ray reached out to Christians who experience cognitive dissonance between their creationist commitments and modern science. With this new study guide, she returns to her argument with fresh perspective and an eye toward practical instruction. Ray approaches her topic with empathy for her readers while maintaining scientific rigor. This discussion guide is the perfect companion for students and nonexpert readers of her book, as it includes notes, discussion questions, and lists of external resources to supplement the original. Expanded treatments of each chapter&’s topics encourage thinking with and beyond the concepts introduced in the main text.

A Study of Enzymes, Volume II

by Stephen A. Kuby

This comprehensive monograph consists of two parts: Volume I, entitled Enzyme Catalysis, Kinetics, and Substrate Binding; and Volume II, entitled Mechanism of Enzyme Action. Volume I focuses on several aspects of enzyme catalytic behavior, their steady-state and transient-state kinetics, and the thermodynamic properties of substrate binding. Packed with figures, tables, schemes, and photographs, this volume contains over 1,000 references, including references regarding enzymology's fascinating history. This comprehensive book is of particular interest to enzymology students, teachers, and researchers. Volume II presents selected "cutting edge" examples of techniques and approaches being pursued in biochemistry. This up-to-date resource includes 11 chapters, which illustrate important theoretical and practical aspects of enzyme mechanisms. It also features selected examples in which today's most important techniques, ideas, and theories are used to elaborate on the intricate nature of enzyme action mechanisms. This particular volume provides important information for both the novice and the seasoned investigator.

A Study of Enzymes: Enzyme Catalysts, Kinetics, and Substrate Binding (Routledge Revivals #1)

by Stephen A. Kuby

First published in 1990, this comprehensive monograph consists of two parts: Volume I, entitled Enzyme Catalysis, Kinetics, and Substrate Binding; and Volume II, entitled Mechanism of Enzyme Action. Volume I focuses on several aspects of enzyme catalytic behavior, their steady-state and transient-state kinetics, and the thermodynamic properties of substrate binding. Packed with figures, tables, schemes, and photographs, this volume contains over 1,000 references, including references regarding enzymology's fascinating history. This comprehensive book is of particular interest to enzymology students, teachers, and researchers. Volume II presents selected "cutting edge" examples of techniques and approaches being pursued in biochemistry. This up-to-date resource includes 11 chapters, which illustrate important theoretical and practical aspects of enzyme mechanisms. It also features selected examples in which today's most important techniques, ideas, and theories are used to elaborate on the intricate nature of enzyme action mechanisms. This particular volume provides important information for both the novice and the seasoned investigator.

A Study of the Isoscalar Giant Monopole Resonance: The Role of Symmetry Energy in Nuclear Incompressibility in the Open-Shell Nuclei (Springer Theses)

by Darshana Chandrakant Patel

This thesis reports on investigations of a specific collective mode of nuclear vibration, the isoscalar giant monopole resonance (ISGMR), the nuclear "breathing mode", the energy of which is directly related to a fundamental property of nuclei--the nuclear incompressibility. The alpha inelastic scattering experiments reported in this thesis have been critical to answering some fundamental questions about nuclear incompressibility and the symmetry energy, quantities that are crucial to our understanding of a number of phenomena in nuclear physics and astrophysics, including collective excitations in nuclei, radii of neutron stars, and the nature of stellar collapse and supernova explosions. The work described included three sets of experiments and subsequent sophisticated data analysis, both leading to results that have been welcomed by the community and recognised as important contributions to the field.

A Study on Catalytic Conversion of Non-Food Biomass into Chemicals: Fusion of Chemical Sciences and Engineering (Springer Theses)

by Mizuho Yabushita

The topic of this thesis is catalytic conversion ofnon-food, abundant, and renewable biomass such as cellulose and chitin tochemicals. In biorefinery, chemical transformation of polymers to valuablecompounds has attracted worldwide interest for building sustainable societies. First, the current situation of this hot research area has been summarized wellin the general introduction of the thesis, which helps readers to becomefamiliar with this topic. Next, the author explains high-yielding production ofglucose from cellulose by using an alkali-activated carbon as a catalyst,resulting in a yield of glucose as high as 88%, which is one of the highestyields ever reported. The characterization of carbon materials has indicatedthat weak acid sites on the catalyst promote the reaction, which is markedlydifferent from reported catalytic systems that require strong acids. Inaddition, the first catalytic transformation of chitin with retention of N-acetyl groups has been developed. Thecombination of mechanocatalytic hydrolysis and thermal solvolysis enables theproduction of N-acetylated monomers ingood yields of up to 70%. The catalytic systems demonstrated in this thesis areunique in the fields of both chemistry and chemical engineering, and their highefficiencies can contribute to green and sustainable chemistry in the future. Meanwhile, mechanistic studies based on characterization, thermodynamics,kinetics, and model reactions have also been performed to reveal the roles ofcatalysts during the reactions. The results will be helpful for readers todesign and develop new catalysts and reaction systems.

A Study on Spin Mechanics Phenomena in Spin-Lattice Coupled Systems (Springer Theses)

by Hiroki Arisawa

This book presents an experimental investigation of spin-mechanical phenomena in spin-lattice coupled systems. The author demonstrates that the resonant mechanical vibration of a micro magnetic mechanical oscillator changes in response to the magnetization process in the oscillator. The author also investigates a spin-current-induced volume modulation effect in a giant magnetostrictive material. The results presented here accelerate the exploration of cross-correlation effects between spintronics and micromechanics and provide insight into magnetomechanical properties associated with a spin current.

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