Exam Board: Edexcel Level: A level Subject: Science / Biology First teaching: September 2015 First exams: June 2017 An ActiveBook is included with every Student Book, giving your students easy online access to the content in the Student Book. They can make it their own with notes, highlights and links to their wider reading. Perfect for supporting work and revision activities. Student Book 1 supports a standalone AS course and provides the first year of a two-year A level course; Student Books 1 and 2 together support the full A level course. A cumulative approach to learning constantly builds on what has previously been taught. The chapter openers highlight prior learning requirements and link to future learning. The required maths skills are highlighted at the start of each chapter providing opportunities for students to check understanding and remedy gaps. Bigger spreads require students to read real-life material that's relevant to the course and use knowledge in new contexts. Accompanying questions require students to analyse how scientists write, think critically and consider issues. Preparing for your exams sections highlight the key differences between preparing for an AS and full A level exam. Practice question spreads provide opportunities for students to regularly check their understanding using questions written in the style of the new exams from day one.

Sedert die tweede druk van die tweede uitgawe in 1975 was Die siel van die mier egter slegs as ’n skaars tweedehandse eksemplaar beskikbaar. Hierdie uitgawe is verryk deur ’n inleidende besinning oor die vraag of Maeterlinck, die Belgiese Nobelpryswenner, Marais se teorie oor die termietnes as organiese eenheid oorgeneem het. Origens blyk dit uit die verskillende drukke en uitgawes hoe Afrikaans in die jare twintig van die twintigste eeu nog op weg was om ’n wetenskaplike woordeskat te vind en die addendum bevat artikels wat vandag slegs met moeite uit ou tydskrifte en koerante opgediep kan word.

This book presents a collection of chapters on modern bioelectrochemistry focusing on new materials for biodevice, bioelectrosynthesis and bioenergy. The chapters cover protein engineering, semiconductors, biorecognition, graphene-based bioelectronics, bioelectrosynthesis, biofuel cells, bioinspired batteries and biophotovoltaics.

This book presents modern methods and real-world applications of compositional data analysis. It covers a wide variety of topics, ranging from an updated presentation of basic concepts and ideas in compositional data analysis to recent advances in the context of complex data structures. Further, it illustrates real-world applications in numerous scientific disciplines and includes references to the latest software solutions available for compositional data analysis, thus providing a valuable and up-to-date guide for researchers and practitioners working with compositional data. Featuring selected contributions by leading experts in the field, the book is dedicated to Vera Pawlowsky-Glahn on the occasion of her 70th birthday.

Drug development is an iterative process. The recent publications of regulatory guidelines further entail a lifecycle approach. Blending data from disparate sources, the Bayesian approach provides a flexible framework for drug development. Despite its advantages, the uptake of Bayesian methodologies is lagging behind in the field of pharmaceutical development. Written specifically for pharmaceutical practitioners, Bayesian Analysis with R for Drug Development: Concepts, Algorithms, and Case Studies, describes a wide range of Bayesian applications to problems throughout pre-clinical, clinical, and Chemistry, Manufacturing, and Control (CMC) development. Authored by two seasoned statisticians in the pharmaceutical industry, the book provides detailed Bayesian solutions to a broad array of pharmaceutical problems. Features Provides a single source of information on Bayesian statistics for drug development Covers a wide spectrum of pre-clinical, clinical, and CMC topics Demonstrates proper Bayesian applications using real-life examples Includes easy-to-follow R code with Bayesian Markov Chain Monte Carlo performed in both JAGS and Stan Bayesian software platforms Offers sufficient background for each problem and detailed description of solutions suitable for practitioners with limited Bayesian knowledge Harry Yang, Ph.D., is Senior Director and Head of Statistical Sciences at AstraZeneca. He has 24 years of experience across all aspects of drug research and development and extensive global regulatory experiences. He has published 6 statistical books, 15 book chapters, and over 90 peer-reviewed papers on diverse scientific and statistical subjects, including 15 joint statistical works with Dr. Novick. He is a frequent invited speaker at national and international conferences. He also developed statistical courses and conducted training at the FDA and USP as well as Peking University. Steven Novick, Ph.D., is Director of Statistical Sciences at AstraZeneca. He has extensively contributed statistical methods to the biopharmaceutical literature. Novick is a skilled Bayesian computer programmer and is frequently invited to speak at conferences, having developed and taught courses in several areas, including drug-combination analysis and Bayesian methods in clinical areas. Novick served on IPAC-RS and has chaired several national statistical conferences.

Die Neuauflage dieses uberaus renommierten Lehrbuchs wurde als Antwort auf die rasanten Fortschritte in dem Fachgebiet vollstandig aktualisiert und prasentiert neue leistungsstarke Methoden und Konzepte in der Biotechnologie, u.a. Genome Editing, reprogrammierte Stammzellen und personalisierte Medizin. Auf eine Einfuhrung in die Grundlagen der Molekular- und Zellbiologie folgt eine Beschreibung der Standardverfahren, darunter Aufreinigung und Analyse von Biomolekulen, Verfahren der Klonierung, Gen-Expressionssysteme, Methoden des Genome Editing, Protein-Labeling und In-situ-Verfahren, Standard- und hochaufloesende Mikroskopie. Der dritte Teil legt den Schwerpunkt auf wichtige Forschungs- und Anwendungsgebiete, von der funktionalen Genomik, Proteomik und Bioinformatik bis hin zu Drug Targeting, rekombinante Antikoerper und Systembiologie. Der letzte Teil wirft einen Blick auf Unternehmen der Biotechnologie und untersucht Fragestellungen des geistigen Eigentums, den Rechtsrahmen fur pharmazeutische Produkte und das Zusammenspiel von Startup- und groesseren Unternehmen. Die Inhalte sind durchgangig uberaus ansprechend illustriert, mit Hunderten von farbigen Diagrammen und Fotos. Dieses Lehrbuch vermittelt Studenten und Berufspraktikern der Biowissenschaften, Pharmazie und Biochemie alles Wissenswerte rund um die molekulare Biotechnologie.

In recent years there has been rapid progress in the development of signal processing in general, and more specifically in the application of signal processing and pattern analysis to biological signals. Techniques, such as parametric and nonparametric spectral estimation, higher order spectral estimation, time-frequency methods, wavelet transform, and identifi cation of nonlinear systems using chaos theory, have been successfully used to elucidate basic mechanisms of physiological and mental processes. Similarly, biological signals recorded during daily medical practice for clinical diagnostic procedures, such as electroen cephalograms (EEG), evoked potentials (EP), electromyograms (EMG) and electrocardio grams (ECG), have greatly benefitted from advances in signal processing. In order to update researchers, graduate students, and clinicians, on the latest developments in the field, an International Symposium on Processing and Pattern Analysis of Biological Signals was held at the Technion-Israel Institute of Technology, during March 1995. This book contains 27 papers delivered during the symposium. The book follows the five sessions of the symposium. The first section, Processing and Pattern Analysis of Normal and Pathological EEG, accounts for some of the latest developments in the area of EEG processing, namely: time varying parametric modeling; non-linear dynamic modeling of the EEG using chaos theory; Markov analysis; delay estimation using adaptive least-squares filtering; and applications to the analysis of epileptic EEG, EEG recorded from psychiatric patients, and sleep EEG."

The Editors would like to thank the authors of the papers at the Advanced Research Workshops for their excellent presentations at the workshops and the production of their drafts. We are indebted to those who helped in the preparation of this volume. We should particularly like to acknowledge the help of Piers Millett, who compiled the papers, set them into camera-ready format and produced the index and Dr. Simon Whitby who made the final changes to the manuscript. Any remaining errors are, of course, our responsibility. Malcolm R. Dando Cyril Klement Marian Negut Graham S. Pearson IX ACHIEVING SECURITY BENEFITS FROM TECHNICAL COOPERATION UNDER THE BIOLOGICAL AND TOXIN WEAPONS CONVENTION GRAHAM S. PEARSON Visiting Professor of International Security, Department of Peace Studies, University of Bradford, Bradford, West Yorkshire BD7 IDP, UK 1. Background l The Biological and Toxin Weapons Convention which opened for signature in 1972 2 and entered into force in 1975 currently has 144 States Parties and 18 Signatory States Article I of the Convention is all-embracing in its complete prohibition of biological weapons stating that: Each State Party to this Convention undertakes never in any circumstances to develop, produce, stockpile or otherwise acquire or retain: (1) Microbial or other biological agents, or toxins whatever their origin or method of production, of types and in quantities that have no justification for prophylactic, protective or other peaceful purposes; (2) Weapons, equipment or means of delivery designed to use such

I Principles 1 1 Models of Systems 3 1. 1 Systems. Models. and Modeling . . . . . . . . . . . . . . . . . . . . 3 1. 2 Uses of Scientific Models . . . . . . . . . . . . . . . . . . . . . . . . 4 1. 3 Example: Island Biogeography . . . . . . . . . . . . . . . . . . . . . 6 1. 4 Classifications of Models . . . . . . . . . . . . . . . . . . . . . . . . 10 1. 5 Constraints on Model Structure . . . . . . . . . . . . . . . . . . . . . 12 1. 6 Some Terminology . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 1. 7 Misuses of Models: The Dark Side . . . . . . . . . . . . . . . . . . . 13 1. 8 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 2 The Modeling Process 17 2. 1 Models Are Problems . . . . . . . . . . . . . . . . . . . . . . . . . . 17 2. 2 Two Alternative Approaches . . . . . . . . . . . . . . . . . . . . . . 18 2. 3 An Example: Population Doubling Time . . . . . . . . . . . . . . . . 24 2. 4 Model Objectives . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 2. 5 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 3 Qualitative Model Formulation 32 3. 1 How to Eat an Elephant . . . . . . . . . . . . . . . . . . . . . . . . . 32 3. 2 Forrester Diagrams . . . . . . . . . . . . . . . . . . . . . . . . . . . 33 3. 3 Examples . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36 3. 4 Errors in Forrester Diagrams . . . . . . . . . . . . . . . . . . . . . . 44 3. 5 Advantages and Disadvantages of Forrester Diagrams . . . . . . . . . 44 3. 6 Principles of Qualitative Formulation . . . . . . . . . . . . . . . . . . 45 3. 7 Model Simplification . . . . . . . . . . . . . . . . . . . . . . . . . . 47 3. 8 Other Modeling Problems . . . . . . . . . . . . . . . . . . . . . . . . 49 viii Contents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3. 9 Exercises 53 4 Quantitative Model Formulation: I 4. 1 From Qualitative to Quantitative . . . . . . . . . . . . . . . . . Finite Difference Equations and Differential Equations 4. 2 . . . . . . . . . . . . . . . . 4. 3 Biological Feedback in Quantitative Models . . . . . . . . . . . . . . . . . . . . . . . . . . 4. 4 Example Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4. 5 Exercises 5 Quantitative Model Formulation: I1 81 . . . . . . . . . . . . . . . . . . . . . . . . . . . 5. 1 Physical Processes 81 . . . . . . . . . . . . . . . 5. 2 Using the Toolbox of Biological Processes 89 . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5. 3 Useful Functions 96 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5. 4 Examples 102 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5. 5 Exercises 104 6 Numerical Techniques 107 . . . . . . . . . . . . . . . . . . . . . . . 6. 1 Mistakes Computers Make 107 . . . . . . . . . . . . . . . . . . . . . . . . . . 6. 2 Numerical Integration 110 . . . . . . . . . . . . . . . . 6. 3 Numerical Instability and Stiff Equations 115 . . . . . . . . . . . . . .

In recent years, systems biology seems to have encountered insurmountable obstacles. Precision medicine faces the problem of integration in disease regulation, despite the establishment of biomarker systems and the continuous discovery of new targeted drugs. Towards Holistic Medicine explores the development of modern medicine and the future medical model in the broader perspective of Chinese and Western medicine, biology, and even the methodological evolution of natural science in recent centuries. The book discusses how modern medicine will move past systems biology and precision medicine and toward holistic medicine.

This unique collection highlights the central role played by modeling in general, and the modeling of mechanical considerations that have an effect on living matter. The volume collects several survey papers by actively working specialists, dealing with some of the most important problems both theoretical and practical in biomechanics. Written in a user-friendly style, these papers clearly explain both the biomedical and mechanical backgrounds associated with complex phenomena. This book may be used in interdisciplinary introductory courses covering various biomechanical topics for graduate students in applied mathematics, engineering, and biomedicine.

"RNA Interference: Application to Drug Discovery and Challenges to Pharmaceutical Development provides a general overview of this rapidly emerging field, with a strong emphasis on issues and aspects that are important to a drug development team. The first part covers more general background of RNA interference and its application in drug discovery. In the second part, the book addresses siRNA (small interfering RNA), a pharmaceutically potent form, and its use and delivery in therapeutics along with manufacturing and delivery aspects"--Provided by publisher.

A short but engaging exploration of the brain. In Brains, scientist Leif Østergaard explores our most complicated and mysterious organ. From the dissection of Einstein's brain to research on how to map networks of neurons, Østergaard deconstructs the different parts of the brain and provides an engaging overview of its essential functions. He explains how we store information in the synapses of neural networks and how these networks carry commands to our muscles and internal organs and receive sensory input from our skin, eyes, ears, nose, and mouth. Delving into the subconscious, we learn what our brains are doing while we daydream and how neurotransmitters play a role in addiction. In this fascinating book, Østergaard reveals how this enigmatic organ is even more complex than we thought it was. In Reflections, a series copublished with Denmark's Aarhus University Press, scholars deliver 60-page reflections on key concepts. These books present unique insights on a wide range of topics that entertain and enlighten readers with exciting discoveries and new perspectives.

First volume selling primarily in the United States, push for more global promotion. "non-invasivel" related healing modalities and environmental medicine are both very hot topics. There are not any existing books with this dual focus that have an accompanying successful volume on nutrition and integrative medicine.

Life is all around us, abundant and diverse, it is extraordinary. But what does it actually mean to be alive? Nobel prize-winner Paul Nurse has spent his career revealing how living cells work. In this book, he takes up the challenge of defining life in a way that every reader can understand. It is a shared journey of discovery; step by step he illuminates five great ideas that underpin biology. He traces the roots of his own curiosity and knowledge to reveal how science works, both now and in the past. Using his personal experiences, in and out of the lab, he shares with us the challenges, the lucky breaks, and the thrilling eureka moments of discovery. To survive the challenges that face the human race today - from climate change, to pandemics, loss of biodiversity and food security - it is vital that we all understand what life is.

Coding, Shaping, Making combines inspiration from architecture, mathematics, biology, chemistry, physics and computation to look towards the future of architecture, design and art. It presents ongoing experiments in the search for fundamental principles of form and form-making in nature so that we can better inform our own built environment. In the coming decades, matter will become encoded with shape information so that it shapes itself, as happens in biology. Physical objects, shaped by forces as well, will begin to design themselves based on information encoded in matter they are made of. This knowledge will be scaled and trickled up to architecture. Consequently, architecture will begin to design itself and the role of the architect will need redefining. This heavily illustrated book highlights Haresh Lalvani's efforts towards this speculative future through experiments in form and form-making, including his work in developing a new approach to shape-coding, exploring higher-dimensional geometry for designing physical structures and organizing form in higher-dimensional diagrams. Taking an in-depth look at Lalvani's pioneering experiments of mass customization in industrial products in architecture, combined with his idea of a form continuum, this book argues for the need for integration of coding, shaping and making in future technologies into one seamless process. Drawing together decades of research, this book will be a thought-provoking read for architecture professionals and students, especially those interested in the future of the discipline as it relates to mathematics, science, technology and art. It will also interest those in the latter fields for its broader implications.

Presents algorithmic techniques for solving problems in bioinformatics, including applications that shed new light on molecular biology

This book introduces algorithmic techniques in bioinformatics, emphasizing their application to solving novel problems in post-genomic molecular biology. Beginning with a thought-provoking discussion on the role of algorithms in twenty-first-century bioinformatics education, Bioinformatics Algorithms covers:

General algorithmic techniques, including dynamic programming, graph-theoretical methods, hidden Markov models, the fast Fourier transform, seeding, and approximation algorithms

Algorithms and tools for genome and sequence analysis, including formal and approximate models for gene clusters, advanced algorithms for non-overlapping local alignments and genome tilings, multiplex PCR primer set selection, and sequence/network motif finding

Microarray design and analysis, including algorithms for microarray physical design, missing value imputation, and meta-analysis of gene expression data

Algorithmic issues arising in the analysis of genetic variation across human population, including computational inference of haplotypes from genotype data and disease association search in case/control epidemiologic studies

Algorithmic approaches in structural and systems biology, including topological and structural classification in biochemistry, and prediction of protein-protein and domain-domain interactions

Each chapter begins with a self-contained introduction to a computational problem; continues with a brief review of the existing literature on the subject and an in-depth description of recent algorithmic and methodological developments; and concludes with a brief experimental study and a discussion of open research challenges. This clear and approachable presentation makes the book appropriate for researchers, practitioners, and graduate students alike.

The post-genomic revolution is witnessing the generation of petabytes of data annually, with deep implications ranging across evolutionary theory, developmental biology, agriculture, and disease processes. "Data Mining for Systems Biology: Methods and Protocols," surveys and demonstrates the science and technology of converting an unprecedented data deluge to new knowledge and biological insight. The volume is organized around two overlapping themes, network inference and functional inference. Written in the highly successful "Methods in Molecular Biology " series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, and key tips on troubleshooting and avoiding known pitfalls.

Authoritative and practical, "Data Mining for Systems Biology: Methods and Protocols" also seeks to aid researchers in the further development of databases, mining and visualization systems that are central to the paradigm altering discoveries being made with increasing frequency."

Discusses scientific solutions and process analytical technology to enable continuous manufacturing in the development of new drugs. Includes short stories about how some companies have adopted CM and what their drivers were and what benefits were realized. Addresses economic and practical considerations, unlike many other technical books. Emphasizes the practical aspects to give the reader the strategic imperative and technological depth to adopt and implement these technologies. Highlights the "why" and the "how", focusing on the need analysis and process modeling and process analytical technologies