The Complete Guide to Human Resources and the Law will help you navigate complex and potentially costly Human Resources issues. You'll know what to do (and what not to do) to avoid costly mistakes or oversights, confront HR problems - legally and effectively - and understand the rules. The Complete Guide to Human Resources and the Law offers fast, dependable, plain English legal guidance for HR-related situations from ADA accommodation, diversity training, and privacy issues to hiring and termination, employee benefit plans, compensation, and recordkeeping. It brings you the most up-to-date information as well as practical tips and checklists in a well-organized, easy-to-use resource. Previous Edition: Complete Guide to Human Resources and the Law, 2018 Edition ISBN 9781454899945
Phenotypic drug discovery has been highlighted in the past decade as an important strategy in the discovery of new medical entities. How many marketed drugs are derived from phenotypic screens? From the most recent examples, what were the factors enabling target identification and validation? This book answers these questions by elaborating on fundamental capabilities required for phenotypic drug discovery and using case studies to illustrate approaches and key success factors. Written and edited by experienced practitioners from both industry and academia, this publication will equip researchers with a thought-provoking guide to the application and future development of contemporary phenotypic drug discovery for clinical success.
Celebrate Discovery Shark Week all year long with Discovery Sharkopedia, the definitive visual guide to everything there is to know about sharks! With more than 400 incredible color photos of the world's most infamous sharks, including great white, bull, and tiger sharks, Sharkopedia explores the evolution of sharks-did you know sharks have been swimming in the world's oceans since before dinosaurs roamed the earth?-and introduces kids to almost 500 known shark species with close-up portraits of each and fun "fin facts" throughout. Discover what makes sharks expert hunters with detailed sections about shark anatomy, habitats, life cycles, surprising behaviors, and more. Sharkopedia also provides shark conservation resources and offers suggestions for ways to help these amazing, often misunderstood, creatures continue to survive. Want to meet more incredible creatures? Check out the other books in the Discovery Opedia series: Snakeopedia, Dinopedia, and Bugopedia!
Target the schools that best match your interests and goals! TheComplete Book of Collegesprofiles all of the four-year colleges in the U.S. (more than 1,600!) and is the key to a successful college search. Complete Book of Collegesis packed with all of the information that prospective applicants need to know, including the details on: ·Academics ·Admissions requirements ·Application procedures ·Tuition and fees ·Transferring options ·Housing ·Financial Aid ·Athletics …and much, much more! Fully updated for 2010, theComplete Book of Collegescontains all of the latest information about each school. Its unique “Admissions Wizard” questionnaire is designed to help you find schools that meet your individual needs. With competition for college admission at an all-time high, count on The Princeton Review to provide you with the most thorough and accurate guidance on the market.
The Model Rules of Professional Conduct provides an up-to-date resource for information on legal ethics. Federal, state and local courts in all jurisdictions look to the Rules for guidance in solving lawyer malpractice cases, disciplinary actions, disqualification issues, sanctions questions and much more. In this volume, black-letter Rules of Professional Conduct are followed by numbered Comments that explain each Rule's purpose and provide suggestions for its practical application. The Rules will help you identify proper conduct in a variety of given situations, review those instances where discretionary action is possible, and define the nature of the relationship between you and your clients, colleagues and the courts.
Based on extensive research and the authors' combined thirty years of experience, Discovery-Driven Growth provides a breakthrough system for managing strategic growth. You will learn how to identify and prioritize your company's full portfolio of opportunities - from new product lines to entirely new businesses. The authors then show how to best execute specific initiatives, test major project assumptions, and develop a culture that values disciplined experimentation and learning over meeting mindless and unrealistic goals. Tools for dealing with each challenge are backed by examples from companies, from small firms to global giants, that have successfully put these methods into practice.
Given the exponential growth of Artificial Intelligence (AI) over the past few decades, AI and its related applications have become part of daily life in ways that we could never have dreamt of only a century ago. Our routines have been changed beyond measure by robotics and AI, which are now used in a vast array of services. Though AI is still in its infancy, we have already benefited immensely. This book introduces readers to basic Artificial Intelligence concepts, and helps them understand the relationship between AI and daily life. In the interest of clarity, the content is divided into four major parts. Part I (AI Concepts) presents fundamental concepts of and information on AI; while Part II (AI Technology) introduces readers to the five core AI Technologies that provide the building blocks for various AI applications, namely: Machine Learning (ML), Data Mining (DM), Computer Vision (CV), Natural Languages Processing (NLP), and Ontology-based Search Engine (OSE). In turn, Part III (AI Applications) reviews major contemporary applications that are impacting our ways of life, working styles and environment, ranging from intelligent agents and robotics to smart campus and smart city projects. Lastly, Part IV (Beyond AI) addresses related topics that are vital to the future development of AI. It also discusses a number of critical issues, such as AI ethics and privacy, the development of a conscious mind, and autonomous robotics in our daily lives.
Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge, and models from various kinds of data for diverse applications. Specifically, it delves into the processes for uncovering patterns and knowledge from massive collections of data, known as knowledge discovery from data, or KDD. It focuses on the feasibility, usefulness, effectiveness, and scalability of data mining techniques for large data sets. After an introduction to the concept of data mining, the authors explain the methods for preprocessing, characterizing, and warehousing data. They then partition the data mining methods into several major tasks, introducing concepts and methods for mining frequent patterns, associations, and correlations for large data sets; data classificcation and model construction; cluster analysis; and outlier detection. Concepts and methods for deep learning are systematically introduced as one chapter. Finally, the book covers the trends, applications, and research frontiers in data mining. - Presents a comprehensive new chapter on deep learning, including improving training of deep learning models, convolutional neural networks, recurrent neural networks, and graph neural networks - Addresses advanced topics in one dedicated chapter: data mining trends and research frontiers, including mining rich data types (text, spatiotemporal data, and graph/networks), data mining applications (such as sentiment analysis, truth discovery, and information propagattion), data mining methodologie and systems, and data mining and society - Provides a comprehensive, practical look at the concepts and techniques needed to get the most out of your data - Visit the author-hosted companion site, https://hanj.cs.illinois.edu/bk4/ for downloadable lecture slides and errata
Outliers play an important, though underestimated, role in control engineering. Traditionally they are unseen and neglected. In opposition, industrial practice gives frequent examples of their existence and their mostly negative impacts on the control quality. The origin of outliers is never fully known. Some of them are generated externally to the process (exogenous), like for instance erroneous observations, data corrupted by control systems or the effect of human intervention. Such outliers appear occasionally with some unknow probability shifting real value often to some strange and nonsense value. They are frequently called deviants, anomalies or contaminants. In most cases we are interested in their detection and removal. However, there exists the second kind of outliers. Quite often strange looking data observations are not artificial data occurrences. They may be just representatives of the underlying generation mechanism being inseparable internal part of the process (endogenous outliers). In such a case they are not wrong and should be treated with cautiousness, as they may include important information about the dynamic nature of the process. As such they cannot be neglected nor simply removed. The Outlier should be detected, labelled and suitably treated. These activities cannot be performed without proper analytical tools and modeling approaches. There are dozens of methods proposed by scientists, starting from Gaussian-based statistical scoring up to data mining artificial intelligence tools. The research presented in this book presents novel approach incorporating non-Gaussian statistical tools and fractional calculus approach revealing new data analytics applied to this important and challenging task. The proposed book includes a collection of contributions addressing different yet cohesive subjects, like dynamic modelling, classical control, advanced control, fractional calculus, statistical analytics focused on an ultimate goal: robust and outlier-proof analysis. All studied problems show that outliers play an important role and classical methods, in which outlier are not taken into account, do not give good results. Applications from different engineering areas are considered such as semiconductor process control and monitoring, MIMO peltier temperature control and health monitoring, networked control systems, and etc.
