The civil rights era was a time of pervasive change in American political and social life. Among the decisive forces driving change were lawyers, who wielded the power of law to resolve competing concepts of order and equality and, in the end, to hold out the promise of a new and better nation. The Search for Justice is a look the role of the lawyers throughout the period, focusing on one of the central issues of the time: school segregation. The most notable participants to address this issue were the public interest lawyers of the NAACP’s Legal Defense Fund, whose counselors brought lawsuits and carried out appeals in state and federal courts over the course of twenty years. But also playing a part in the story were members of the bar who defended Jim Crow laws explicitly or implicitly and, in some cases, also served in state or federal government; lawyers who sat on state and federal benches and heard civil rights cases; and, finally, law professors who analyzed the reasoning of the courts in classrooms and public forums removed from the fray. With rich, copiously researched detail, Hoffer takes readers through the interactions of these groups, setting their activities not only in the context of the civil rights movement but also of their full political and legal legacies, including the growth of corporate private legal practice after World War II and the expansion of the role of law professors in public discourse, particularly with the New Deal. Seeing the civil rights era through the lens of law enables us to understand for the first time the many ways in which lawyers affected the course and outcome of the movement.
One hundred and eighty-nine men drowned in a single afternoon in Scotland's worst fishing disaster. It is a forgotten part of the nation's past, yet it happened just a hundred and twenty years ago. It decimated the coastal community of Eyemouth where the effects of Black Friday are felt to this day. Children of the Sea is the remarkable story of a village on the margins of the sea and at the edge of the country. It is a tale of survival through the wars of independence and the witch-hunts of the seventeenth century; of danger and high jinks when Eyemouth was the centre of a massive smuggling ring; and above all of the hope and tragedy of fishing and of battles with the minister. It is a story of a people who fought to survive, and whose voice can now be heard, from tales handed down through the generations.
More information is always better, and full information is best. More computation is always better, and optimization is best." More-is-better ideals such as these have long shaped our vision of rationality. Yet humans and other animals typically rely on simple heuristics to solve adaptive problems, focusing on one or a few important cues and ignoring the rest, and shortcutting computation rather than striving for as much as possible. In this book, we argue that in an uncertain world, more information and computation are not always better, and we ask when, and why, less can be more. The answers to these questions constitute the idea of ecological rationality: how we are able to achieve intelligence in the world by using simple heuristics matched to the environments we face, exploiting the structures inherent in our physical, biological, social, and cultural surroundings.
This is a revised version of the 1984 book of the same name but considerably modified and enlarged to accommodate the developments in recursive estimation and time series analysis that have occurred over the last quarter century. Also over this time, the CAPTAIN Toolbox for recursive estimation and time series analysis has been developed at Lancaster, for use in the MatlabTM software environment (see Appendix G). Consequently, the present version of the book is able to exploit the many computational routines that are contained in this widely available Toolbox, as well as some of the other routines in MatlabTM and its other toolboxes. The book is an introductory one on the topic of recursive estimation and it demonstrates how this approach to estimation, in its various forms, can be an impressive aid to the modelling of stochastic, dynamic systems. It is intended for undergraduate or Masters students who wish to obtain a grounding in this subject; or for practitioners in industry who may have heard of topics dealt with in this book and, while they want to know more about them, may have been deterred by the rather esoteric nature of some books in this challenging area of study.
In a companion volume to Pacifism in the United States, Peter Brock surveys the history of the pacifist movement in Europe from the beginning of the Christian era to the First World War. His detailed narrative is directed to the activities—and the beliefs that motivated them—of these sects in particular: the Czech Brethren of the late Middle Ages; the radical Anabaptists of the Protestant Reformation; their less militant offshoot, the Mennonites; the Quakers of Cromwell's England; and the Tolstoyans of nineteenth-century Russia. Mr. Brock concludes his account with a working definition of normative pacifism, a typology of pacifism, and a discussion of the factors present in the genesis and decay of pacifist groups. Originally published in 1972. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.
Although administrative policy-making is overshadowed by the drama of judicial decision-making, it is a vital part of the judicial process. Peter Graham Fish examines the structure and legislative history of the various institutions of the federal judicial administration, their development, and their operation. He focuses on the lower courts to show that, although it is delimited by a network of formal institutions, the federal judicial administration is characterized by informality and voluntarism and depends, as he emphasizes, on the roles played by individual judges. As administrators, judges become deeply involved in politics, and Peter Graham Fish concentrates on the politics of the national judicial administration. Within this framework he raises enduring issues: Shall local federal judges be wholly independent or must they conform to uniform standards of law and administration? Shall administration be separate and diffused or united and centralized? Shall politics be superior or subordinate to so-called standards of "'efficiency"? Shall the interests of trial judges prevail over or be subordinate to the regional and national interests of appellate judges? How shall money, manpower, jurisdictional, and structural changes be distributed among the courts? To what extent, if any, should judges modify their behavior or institutions to meet external criticism? Originally published in 1973. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.
This book focuses on a span of statistical topics relevant to researchers who seek to conduct person-specific analysis of human data. Our purpose is to provide one consolidated resource that includes techniques from disciplines such as engineering, physics, statistics, and quantitative psychology and outlines their application to data often seen in human research. The book balances mathematical concepts with information needed for using these statistical approaches in applied settings, such as interpretative caveats and issues to consider when selecting an approach. The statistical topics covered here include foundational material as well as state-of-the-art methods. These analytic approaches can be applied to a range of data types such as psychophysiological, self-report, and passively collected measures such as those obtained from smartphones. We provide examples using varied data sources including functional MRI (fMRI), daily diary, and ecological momentary assessment data. Features: Description of time series, measurement, model building, and network methods for person-specific analysis Discussion of the statistical methods in the context of human research Empirical and simulated data examples used throughout the book R code for analyses and recorded lectures for each chapter available via a link available at www.routledge.com/9781482230598 Across various disciplines of human study, researchers are increasingly seeking to conduct person-specific analysis. This book provides comprehensive information, so no prior knowledge of these methods is required. We aim to reach active researchers who already have some understanding of basic statistical testing. Our book provides a comprehensive resource for those who are just beginning to learn about person-specific analysis as well as those who already conduct such analysis but seek to further deepen their knowledge and learn new tools.
An intermediate-level treatment of Bayesian hierarchical models and their applications, this book demonstrates the advantages of a Bayesian approach to data sets involving inferences for collections of related units or variables, and in methods where parameters can be treated as random collections. Through illustrative data analysis and attention to statistical computing, this book facilitates practical implementation of Bayesian hierarchical methods. The new edition is a revision of the book Applied Bayesian Hierarchical Methods. It maintains a focus on applied modelling and data analysis, but now using entirely R-based Bayesian computing options. It has been updated with a new chapter on regression for causal effects, and one on computing options and strategies. This latter chapter is particularly important, due to recent advances in Bayesian computing and estimation, including the development of rjags and rstan. It also features updates throughout with new examples. The examples exploit and illustrate the broader advantages of the R computing environment, while allowing readers to explore alternative likelihood assumptions, regression structures, and assumptions on prior densities. Features: Provides a comprehensive and accessible overview of applied Bayesian hierarchical modelling Includes many real data examples to illustrate different modelling topics R code (based on rjags, jagsUI, R2OpenBUGS, and rstan) is integrated into the book, emphasizing implementation Software options and coding principles are introduced in new chapter on computing Programs and data sets available on the book’s website
Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data
The ideas, people, and events that developed art education are described and analyzed so that art educators and educators in general will have a better understanding of what has happened (and is happening) to visual art in the schools. Peter Smith raises the issue of art education's inordinate emphasis on Eurocentric art. He challenges the often expressed notion that the field of education is the cause of art education's problems and proposes that confused conceptions within the art world are just as much a root of the difficulty. No other book in art education history gives such close and analytical attention to the careers of women in the field. The materials on Germanic cultural and historical influences are unequaled as is the scholarly treatment of Viktor Lowenfeld, probably the most influential single figure in 20th-century American art education.
This volume provides the important concepts necessary for a physician to participate in a reengineering process, develop decision-making skills based on probability and logic rather than “rules,” and to measure and analyze meaningful outcomes of care delivery. This approach has been developed over ten years in a medical student-based program and has been enthusiastically embraced by medical students without backgrounds in engineering or statistics. More specifically, this text will introduce physicians to relevant and available computer software, combined with an in depth knowledge of measurement, variation, and uncertainty. It provides a basis for the transformation of data into information, information into knowledge, and knowledge into wisdom. The first quarter of the book will address understanding and visualizing data, using statistical and graphic analysis. The next quarter addresses the fundamentals of applied statistics, and the application of conditional probability to clinical decision making. The next quarter addresses the four “cornerstones” of modern analytics: regression, classification, association analysis, and clustering. The final section addresses the identification of outliers and their importance in understanding, the assessment of cause and effect and the limitations associated with retrospective data analysis. This toolbox will prepare the interested physician to actively engage in the identification of problem areas, the design of process-based solutions, and the continuous assessment of outcomes of clinical practice. Armed with this toolbox, the reader will be “prepared to make a difference” in the rapidly changing world of healthcare delivery. Measurement and Analysis in Transforming Healthcare Delivery is an excellent resource for general practitioners, health administrators, and all medical professionals interacting with healthcare delivery. /div
In this paper I assess the ability of econometric and machine learning techniques to predict fiscal crises out of sample. I show that the econometric approaches used in many policy applications cannot outperform a simple heuristic rule of thumb. Machine learning techniques (elastic net, random forest, gradient boosted trees) deliver significant improvements in accuracy. Performance of machine learning techniques improves further, particularly for developing countries, when I expand the set of potential predictors and make use of algorithmic selection techniques instead of relying on a small set of variables deemed important by the literature. There is considerable agreement across learning algorithms in the set of selected predictors: Results confirm the importance of external sector stock and flow variables found in the literature but also point to demographics and the quality of governance as important predictors of fiscal crises. Fiscal variables appear to have less predictive value, and public debt matters only to the extent that it is owed to external creditors.
This book is a great way to both start learning data science through the promising Julia language and to become an efficient data scientist."- Professor Charles Bouveyron, INRIA Chair in Data Science, Université Côte d’Azur, Nice, France Julia, an open-source programming language, was created to be as easy to use as languages such as R and Python while also as fast as C and Fortran. An accessible, intuitive, and highly efficient base language with speed that exceeds R and Python, makes Julia a formidable language for data science. Using well known data science methods that will motivate the reader, Data Science with Julia will get readers up to speed on key features of the Julia language and illustrate its facilities for data science and machine learning work. Features: Covers the core components of Julia as well as packages relevant to the input, manipulation and representation of data. Discusses several important topics in data science including supervised and unsupervised learning. Reviews data visualization using the Gadfly package, which was designed to emulate the very popular ggplot2 package in R. Readers will learn how to make many common plots and how to visualize model results. Presents how to optimize Julia code for performance. Will be an ideal source for people who already know R and want to learn how to use Julia (though no previous knowledge of R or any other programming language is required). The advantages of Julia for data science cannot be understated. Besides speed and ease of use, there are already over 1,900 packages available and Julia can interface (either directly or through packages) with libraries written in R, Python, Matlab, C, C++ or Fortran. The book is for senior undergraduates, beginning graduate students, or practicing data scientists who want to learn how to use Julia for data science. "This book is a great way to both start learning data science through the promising Julia language and to become an efficient data scientist." Professor Charles Bouveyron INRIA Chair in Data Science Université Côte d’Azur, Nice, France
The explanation and implementation of statistical methods for the medical researcher or statistician remains an integral part of modern medical research. This book explains the use of experimental and analytical biostatistics systems. Its accessible style allows it to be used by the non-mathematician as a fundamental component of successful research. Since the third edition, there have been many developments in statistical techniques. The fourth edition provides the medical statistician with an accessible guide to these techniques and to reflect the extent of their usage in medical research. The new edition takes a much more comprehensive approach to its subject. There has been a radical reorganization of the text to improve the continuity and cohesion of the presentation and to extend the scope by covering many new ideas now being introduced into the analysis of medical research data. The authors have tried to maintain the modest level of mathematical exposition that characterized the earlier editions, essentially confining the mathematics to the statement of algebraic formulae rather than pursuing mathematical proofs. Received the Highly Commended Certificate in the Public Health Category of the 2002 BMA Books Competition.
Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches, including the Lasso and versions of it for various models, boosting methods, undirected graphical modeling, and procedures controlling false positive selections. A special characteristic of the book is that it contains comprehensive mathematical theory on high-dimensional statistics combined with methodology, algorithms and illustrations with real data examples. This in-depth approach highlights the methods’ great potential and practical applicability in a variety of settings. As such, it is a valuable resource for researchers, graduate students and experts in statistics, applied mathematics and computer science.
This book offers a comprehensive and engaging introduction to the criminal justice system of England and Wales. Starting with an overview of the main theories of the causes of crime, this book explores and discusses the operation of the main criminal justice agencies including the police, probation and prison services and the legal and youth justice systems. The fourth edition has been revised, updated, expanded and features a new expert co-author. This book offers a lively and critical discussion of some of the main themes in criminal justice, from policy-making and crime control, to diversity and discrimination, to the global dimensions of criminal justice, including organised crime and the role performed by transnational policing organisations to combat it. Key updates to this new edition include: increased discussion of the measurement, prevention and detection of crime; a revised chapter on the police which discusses the principle of policing by consent, police methods, power and governance, and the abuse of power; further discussion of pressing contemporary issues in criminal justice, such as privatisation, multi-agency working, community-based criminal justice policy and the impact of the Covid-19 pandemic on the delivery of criminal justice policy; a revised chapter that deals in detail with new and emerging forms of criminality and the response of the UK and global criminal justice system to these developments. This accessible text is essential reading for students taking introductory courses in criminology and criminal justice. A wide range of useful features include review questions, lists of further reading, timelines of key events and a glossary of key terms.
At a time when college completion is a major issue, and there is particular concern about the retention of underserved student populations, peer mentoring programs offer one solution to promoting student success. This is a comprehensive resource for creating, refining and sustaining effective student peer mentoring programs. While providing a blueprint for successfully designing programs for a wide range of audiences – from freshmen to doctoral students – it also offers specific guidance on developing programs targeting three large groups of under-served students: first-generation students, international students and student veterans.This guidebook is divided into two main sections. The opening section begins by reviewing the issue of degree non-completion, as well as college adjustment challenges that all students and those in each of the targeted groups face. Subsequent chapters in section one explore models of traditional and non-traditional student transition, persistence and belonging, address what peer mentoring can realistically achieve, and present a rubric for categorizing college student peer-mentoring programs. The final chapter in section one provides a detailed framework for assessing students’ adjustment issues to determine which ones peer mentoring programs can appropriately address. Section two of the guidebook shifts from the theoretical to the practical by covering the nuts and bolts of developing a college student peer-mentoring program. The initial chapter in section two covers a range of design issues including establishing a program timeline, developing a budget, securing funding, getting commitments from stakeholders, hiring staff, recruiting mentors and mentees, and developing policies and procedures. Subsequent chapters analyze the strengths and limitations of different program delivery options, from paired and group face-to-face mentoring to their e-mentoring equivalents; offer guidance on the creation of program content and resources for mentors and mentees, and provide mentor training exercises and curricular guidelines. Section two concludes by outlining processes for evaluating programs, including setting goals, collecting appropriate data, and methods of analysis; and by offering advice on sustaining and institutionalizing programs. Each chapter opens with a case study illustrating its principal points. This book is primarily intended as a resource for student affairs professionals and program coordinators who are developing new peer-mentoring programs or considering refining existing ones. It may also serve as a text in courses designed to train future peer mentors and leaders.
This package includes both Mathematical Statistics: Basic Ideas and Selected Topics, Volume I, Second Edition, as well as Mathematical Statistics: Basic Ideas and Selected Topics, Volume II. Volume I presents fundamental, classical statistical concepts at the doctorate level without using measure theory. It gives careful proofs of major results and explains how the theory sheds light on the properties of practical methods. Volume II covers a number of topics that are important in current measure theory and practice. It emphasizes nonparametric methods which can really only be implemented with modern computing power on large and complex data sets. In addition, the set includes a large number of problems with more difficult ones appearing with hints and partial solutions for the instructor.
One of the bloodiest battles in world history—a military tragedy that would come to define a generation. On July 1, 1916, the British Army launched the “Big Push” that was supposed to bring an end to the horrific stalemate on the Western Front between British, French, and German forces. What resulted was one of the greatest single human catastrophes in twentieth century warfare. Scrambling out of trenches in the face of German machine guns and artillery fire, the Allied Powers lost over twenty thousand soldiers that first day. This “battle” would drag on for another four bloody months, resulting in over one million causalities among the three powers. As the oral historian at the Imperial War Museum in London, Peter Hart has brought to light new material never before seen or heard. The Somme is an unparalleled evocation of World War I’s iconic contest—the definitive account of one of the major tragedies of the twentieth century.
To commemorate HCI's 40th anniversary, many of its most loved and revered authors have contributed personal stories of lifechanging events in Success Stories from the Heart. Poignant and inspiring from cover to cover, these authors generously share their personal journeys to find truth, the unexpected discoveries they made along the way, and the spiritual renewals they experienced as a result. A brave and mighty volume, Success Stories from the Heart bares their souls and tells the stories of not only their own lives, but of the many lives they've touched. Each contributing author in this extraordinary book has played a pivotal role in the advancement of mental health services and personal transformation. They coined the phrases, they made the discoveries, they are the vanguards who brought us a deeper understanding of the issues that affect us, our families, our communities, and every one of our relationships. They are the true, indispensable guides and mentors who rescue us from ourselves and each other, that teach us better, more fulfilling ways to live. These stories chronicle experiences that go beyond the educational realm, past office visits and therapy sessions, and brought them deep into the tender realm of the heart. They are the encounters that blurred the lines and made their work personal, the hopes and tears of their careers, the indelible scars that belie their commitment to do whatever it takes to make a difference. It is this blending of personal and professional life that births wisdom, that connects people, and heals a hurting world. Let Success Stories from the Heart inspire you—it's a celebration of 40 momentous years and a thrilling celebration of life!
The four-volume set LNCS 2657, LNCS 2658, LNCS 2659, and LNCS 2660 constitutes the refereed proceedings of the Third International Conference on Computational Science, ICCS 2003, held concurrently in Melbourne, Australia and in St. Petersburg, Russia in June 2003. The four volumes present more than 460 reviewed contributed and invited papers and span the whole range of computational science, from foundational issues in computer science and algorithmic mathematics to advanced applications in virtually all application fields making use of computational techniques. These proceedings give a unique account of recent results in the field.
In recent years, machine learning has gained a lot of interest. Due to the advances in processor technology and the availability of large amounts of data, machine learning techniques have provided astounding results in areas such as object recognition or natural language processing. New approaches, e.g. deep learning, have provided groundbreaking outcomes in fields such as multimedia mining or voice recognition. Machine learning is now used in virtually every domain and deep learning algorithms are present in many devices such as smartphones, cars, drones, healthcare equipment, or smart home devices. The Internet, cloud computing and the Internet of Things produce a tsunami of data and machine learning provides the methods to effectively analyze the data and discover actionable knowledge. This book describes the most common machine learning techniques such as Bayesian models, support vector machines, decision tree induction, regression analysis, and recurrent and convolutional neural networks. It first gives an introduction into the principles of machine learning. It then covers the basic methods including the mathematical foundations. The biggest part of the book provides common machine learning algorithms and their applications. Finally, the book gives an outlook into some of the future developments and possible new research areas of machine learning and artificial intelligence in general. This book is meant to be an introduction into machine learning. It does not require prior knowledge in this area. It covers some of the basic mathematical principle but intends to be understandable even without a background in mathematics. It can be read chapter wise and intends to be comprehensible, even when not starting in the beginning. Finally, it also intends to be a reference book. Key Features: Describes real world problems that can be solved using Machine Learning Provides methods for directly applying Machine Learning techniques to concrete real world problems Demonstrates how to apply Machine Learning techniques using different frameworks such as TensorFlow, MALLET, R
Seminar in Physical Education: From Student Teaching to Teaching Students is a concise and complete text that addresses all 10 NASPE Standards and offers a fresh approach to preparing preservice teachers for today's teaching and employment challenges. This book helps preservice teachers reflect on their experiences in the school setting." "Seminar in Physical Education is a text with real-world applications, grounding students in the realities of today's teaching as offered through the expertise and insights of an author team with a combined century of experience in physical activity and PETE instruction."--BOOK JACKET.
Marine Ecotoxicology: Current Knowledge and Future Issues is the first unified resource to cover issues related to contamination, responses, and testing techniques of saltwater from a toxicological perspective. With its unprecedented focus on marine environments and logical chapter progression, this book is useful to graduate students, ecotoxicologists, risk assessors, and regulators involved or interested in marine waters. As human interaction with these environments increases, understanding of the pollutants and toxins introduced into the oceans becomes ever more critical, and this book builds a foundation of knowledge to assist scientists in studying, monitoring, and making decisions that affect both marine environments and human health. A team of world renowned experts provide detailed analyses of the most common contaminants in marine environments and explain the design and purpose of toxicity testing methods, while exploring the future of ecotoxicology studies in relation to the world's oceans. As the threat of increasing pollution in marine environments becomes an ever more tangible reality, Marine Ecotoxicology offers insights and guidance to mitigate that threat. - Provides practical tools and methods for assessing and monitoring the accumulation and effects of contaminants in marine environments - Unites world renowned experts in marine ecotoxicology to deliver thorough and diverse perspectives - Builds the foundation required for risk assessors and regulators to adequately assess and monitor the impact of pollution in marine environments - Offers helpful insights and guidance to graduate students, ecotoxicologists, risk assessors, and regulators interested in mitigating threats to marine waters
Borley Rectory in Essex, built in 1862, should have been an ordinary Victorian clergyman's house. However, just a year after its construction, unexplained footsteps were heard within the house, and from 1900 until it burned down in 1939 numerous paranormal phenomena, including phantom coaches and shattering windows, were observed. In 1929 the house was investigated by the Daily Mail and paranormal researcher Harry Price, and it was he who called it 'the most haunted house in England.' Price also took out a lease of the rectory from 1937 to 1938, recruiting forty-eight 'official observers' to monitor occurences. After his death in 1948, the water was muddied by claims that Price's findings were not genuine paranormal activity, and ever since there has been a debate over what really went on at Borley Rectory. Paul Adams, Eddie Brazil and Peter Underwood here present a comprehensive guide to the history of the house and the ghostly (or not) goings-on there.
This book is designed to complement the author's A New Land Law,integrating with that work in its simplified terminology, and emphasising a three-fold functional classification of leases – short residential tenancies, long residential leases and commercial leases. Rented housing is treated as a unified whole, with particular prominence being given to shorthold arrangements. The book includes reference to the changes to the allocation and homelessness regimes proposed by Part II of the Homes Bill 2000. It also considers the impact of the Human Rights Act 1998, the changes to repossession procedures implemented by the Woolf Reforms, and the year 2000 bumper crop of decisions on housing law. Leasehold tenure is undergoing dramatic changes. The book draws a functional distinction between long residential leases and rental arrangements, based on the registrability of long leases, their freedom from rent controls and security of tenure, special controls of management and forfeiture, and enfranchisement rights. Extensive coverage is given to the Commonhold and Leasehold Reform Bill 2000, introduced into the House of Lords in December 2000, and promising improvements in the enfranchisement schemes, additional management controls, and a commonhold scheme. Topics on commercial leases (business and agricultural) given special attention include the reasonable recipient principle for the construction of notices, a decision on the effect on a sub-tenant of an upwards notice to quit by his head tenant, and Law Commission proposals on the Termination of Tenancies (1999).
Co-published with This series of essays written for trustees and administrative leaders of universities and colleges draws on the authors’ extensive consulting experience, research into the dynamics of boards, and service as trustees, to focus on practical insights that will help readers improve governance. The authors have contributed a series of essays on governing well to Inside Higher Education, which formed the inspiration for this volume.The primary aim of the book is to provide insight that boards can use to enhance their governing practices. The author’s take is not a “how to do” book but rather one on “how to think.” Their basic premise is that too many boards are underperforming because they adopt or continue ineffective practices. However, thinking in more intentional if not new ways about not only what they do as boards, but how they go about their efforts, will help boards add value to the institutions and state systems they govern. The authors use thought provoking-titles and a conversational tone to engage the readers, get them to reflect on their work, and broaden their horizons.
Born in Edinburgh, the 'Athens of the North', a Scot who hated living in Scotland and nourished a lifelong love affair with London, Boswell was biographer, journalist, laird, advocate, social lion, incurable rake, lover, life of the party, traveller, steadfast friend, endearing charmer, exhibitionist fool, and drunken sot. In this moving biography, Peter Martin assesses Boswell's literary achievements and uncovers the pulsating and dynamic world he thrived in, from the royal courts and the drawing rooms of fashionable ladies and gentlemen to the fleshpots of London's unsavoury underworld and the chambers of the insane. He also poignantly reveals a man in agony, easily misunderstood, relentlessly plagued by hypochondria or melancholia, buffeted like a straw in the wind by a multitude of anxieties and 'horrible imaginings'."--BOOK JACKET.Title Summary field provided by Blackwell North America, Inc. All Rights Reserved
This history of legal language slices through the polysyllabic thicket of legalese. The text shows to what extent legalese is simply a product of its past and demonstrates that arcane vocabulary is not an inevitable feature of our legal system.
What does China want from Australia? In this incisive and original book, Peter Hartcher reveals how decades of economic dependence left Australia open to the strategic ambitions of the most successful authoritarian regime in modern history. He shows how ideology, paranoia and Xi Jinping’s personal story have reshaped China, and shines new light on Beijing’s overt and covert campaign for influence – over trade and defence, media and politics. Australia has now woken up to China’s challenge, from passing foreign interference laws to banning Huawei from our 5G network. But at what cost? Will we see a further slump in relations? How best to protect our security, economy and identity? Drawing on interviews with Scott Morrison, Malcolm Turnbull and other key policymakers, as well as a rare interview with Australia’s spy chief, Red Zone is a gripping look at China’s power and Australia’s future. “Australia is on the front lines of the global struggle between China and the West over democratic values, and Peter Hartcher, one of the country’s foremost journalists, presents a clear-eyed and utterly frightening account of the challenge we face. Highly recommended ”—Francis Fukuyama “Hartcher’s analysis of Australia’s place in the world is sharp and tenacious. He continues to make an outsized contribution to our democracy.”—Penny Wong “Hartcher’s clear-eyed analysis of the Australia–China relationship is as keen as it is unsettling.”—Malcolm Turnbull
This book constitutes the refereed proceedings of the 12th European Conference on Machine Learning, ECML 2001, held in Freiburg, Germany, in September 2001. The 50 revised full papers presented together with four invited contributions were carefully reviewed and selected from a total of 140 submissions. Among the topics covered are classifier systems, naive-Bayes classification, rule learning, decision tree-based classification, Web mining, equation discovery, inductive logic programming, text categorization, agent learning, backpropagation, reinforcement learning, sequence prediction, sequential decisions, classification learning, sampling, and semi-supervised learning.
This book represents the first complete and systematic guide to the virus-like particles (VLPs) and their applications as vaccines, therapeutic tools, nanomaterials, and nanodevices. The grouping of the VLPs follows the most recent virus taxonomy and the traditional Baltimore classification of viruses, which are based on the genome structure and mechanism of mRNA synthesis. Within each of the seven Baltimore classes, the order taxon serves as a framework of the chapter’s arrangement. The term "VLP" is used as a universal designation for the virus-, core-, or capsid-like structures, which became an important part of the modern molecular virology. The 3D structures, expression systems, and nanotechnological applications are described for VLPs in the context of the original viruses and uncover their evolving potential as novel vaccines and medical interventions. Key Features Presents the first full guide to the VLP nanotechnology, classified by current viral taxonomy Outlines specific structural properties and interconnection of the virions and VLPs Explains generation and characteristics of VLPs produced by various expression systems Offers up-to-date summary of VLPs designed as vaccines and delivery tools Unveils interconnection of VLPs with novel organic and inorganic nanomaterials
This text makes an important contribution to our understanding of the socio-cultural issues associated with assessment in PE, in terms of its systemic development as well as at the level of pedagogic relations between PE teachers and their students.
Using formal descriptions, graphical illustrations, practical examples, and R software tools, Introduction to Multivariate Statistical Analysis in Chemometrics presents simple yet thorough explanations of the most important multivariate statistical methods for analyzing chemical data. It includes discussions of various statistical methods, such as
The nine essays collected here, some originally delivered as lectures, others written as law journal articles, have all appeared over the past fifteen years. They examine issues of topical importance in the three traditional areas of private international law: the jurisdiction of the courts, choice of the applicable law, and the recognition of foreign judgments. These areas are discussed with reference to a wide range of subject issues, in particular contract, tort, family law, and some aspects of property law. A major theme is reform and change, not only within the United Kingdom, but also as a consequence of developments within the European Community and in the light of proposals in the U.S. and worldwide.
The first in-depth history of miscegenation law in the United States, this book illustrates in vivid detail how states, communities, and the courts have defined and regulated mixed-race marriage from the colonial period to the present. Combining a storyteller's detail with a historian's analysis, Peter Wallenstein brings the sagas of Richard and Mildred Loving and countless other interracial couples before them to light in this harrowing history of how individual states had the power to regulate one of the most private aspects of life: marriage.
This will help us customize your experience to showcase the most relevant content to your age group
Please select from below
Login
Not registered?
Sign up
Already registered?
Success – Your message will goes here
We'd love to hear from you!
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.