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Work Design: Occupational Ergonomics

Social Work and Social Care

Women in Social Work

The Meaning of Work Papers on Work Organization and the Design of Jobs

Work and Unemployment 1834-1911

Deep Learning in Visual Computing and Signal Processing

Swarm Intelligence and Deep Evolution Evolutionary Approach to Artificial Intelligence

Swarm Intelligence and Deep Evolution Evolutionary Approach to Artificial Intelligence

The book provides theoretical and practical knowledge about swarm intelligence and evolutionary computation. It describes the emerging trends in deep learning that involve the integration of swarm intelligence and evolutionary computation with deep learning i. e. deep neuroevolution and deep swarms. The study reviews the research on network structures and hyperparameters in deep learning and attracting attention as a new trend in AI. A part of the coverage of the book is based on the results of practical examples as well as various real-world applications. The future of AI based on the ideas of swarm intelligence and evolution is also covered. The book is an introductory work for researchers. Approaches to the realization of AI and the emergence of intelligence are explained with emphasis on evolution and learning. It is designed for beginners who do not have any knowledge of algorithms or biology and explains the basics of neural networks and deep learning in an easy-to-understand manner. As a practical exercise in neuroevolution the book shows how to learn to drive a racing car and a helicopter using MindRender. MindRender is an AI educational software that allows the readers to create and play with VR programs and provides a variety of examples so that the readers will be able to create and understand AI. | Swarm Intelligence and Deep Evolution Evolutionary Approach to Artificial Intelligence

GBP 160.00
1

Regulating Gig Work Decent Labour Standards in a World of On-demand Work

Standard Work for Lean Healthcare

Standard Work for Lean Healthcare

Proven to increase efficiencies in the manufacturing sector Standard Work has become a key element in reducing process waste ensuring patient safety and improving healthcare services. Part of the Lean Tools for Healthcare Series this reader-friendly book builds on the success of the bestselling Standard Work for the Shopfloor. Standard Work for Lean Healthcare explains how to apply this powerful Lean tool to increase patient safety and reduce the cost of providing healthcare services. It illustrates how standardization can help you establish best practices for performing daily work and why it should be the cornerstone for all of your continuous improvement efforts. Presented in an easy-to-assimilate format the book describes work in terms of cycle time work in process takt time and layout. It also: Defines the key concepts of standard work and explores the essential elements of a continuous improvement culture Provides detailed guidance through the process of creating maintaining and improving standards Illustrates the application of standardization and standard work in healthcare with a range of examples Includes access to helpful websites and further reading on standardization standard work the 5S System and Lean healthcare A joint effort between the Rona Consulting Group and Productivity Press this book presents invaluable insights from pioneers in Lean thinking to help you avoid common mistakes that can lead to unnecessary wastes of time and resources. Each richly illustrated chapter includes a chapter summary reflection questions and margin assists that highlight key terms how-to steps and healthcare examples making this an essential resource for healthcare professionals starting out on their Lean journey.

GBP 170.00
1

Motivation to Work

Motivation to Work

Quality work that fosters job satisfaction and health enjoys top priority in industry all over the world. This was not always so. Until recently analysis of job attitudes focused primarily on human relations problems within organizations. While American industry was trying to solve the unsolvable problem of avoiding interpersonal dissatisfaction problems with the potential for solution such as training and quality production were ignored. When first published 'The Motivation to Work' challenged the received wisdom by showing that worker fulfillment came from achievement and growth within the job itself. In his new introduction Herzberg examines thirty years of motivational research in job-related areas. Based on workers' accounts of real events that have made them feel good or bad on the job the findings of Herzberg and his colleagues have stimulated research and controversy that continue to the present day. The authors surprisingly found that while a poor work environment generated discontent improved conditions seldom brought about improved attitudes. Instead satisfaction came most often from factors intrinsic to work: achievements job recognition and work that was challenging interesting and responsible. The evidence marshaled by this volume called into question many previous assumptions about job satisfaction and worker motivation. Feelings about intrinsic and extrinsic factors could not be validly averaged on a single scale of measurement. Motivation and performance are not merely dependent upon environmental needs and external rewards. Frederick Herzberg and his staff based their motivation—hygiene theory on a variety of human needs and applied it to a strategy of job enrichment that has widely influenced motivation and job design strategies. 'Motivation to Work' is a landmark volume that is of enduring interest to sociologists psychologists labor studies specialists and organization analysts.

GBP 145.00
1

Psychology and Work Today

Psychology and Work Today

Psychology and Work Today 11th Edition is an exciting update of a well-loved textbook that introduces industrial and organizational psychology explaining how industrial-organizational psychologists make work and working better. This accessible and informative text explains how industrial-organizational psychologists help organizations hire the best people by designing tests and interviews that uncover the skills and abilities of applicants make work better by removing or reducing safety issues and sources of stress so that personnel are motivated and able to perform to their abilities and work with managers and leaders to be more effective at leading others. This book also describes how industrial-organizational psychologists work with organizations to embrace diversity in the workforce and celebrate the strengths that employees from many backgrounds bring to organizations. In addition this text includes how psychologists help organizations to design the physical work environment to best suit employees while other psychologists help organizations to market their products and services to consumers. This text covers both the essential and traditional industrial-organizational psychology topic areas such as job analysis employee selection and work motivation as well as topic areas that are important in workplaces today such as stress and well-being human factors and preparing for jobs of the future. The chapter on consumer psychology remains unique to this textbook. This new edition includes coverage of employable skills desired by hiring managers and executives; the ways the highly publicized replicability crisis has affected the science and practice of industrial-organizational psychology; online and mobile employment testing; diversity and inclusion throughout the workplace including microaggressions; preparing people and organizations for jobs of the future; incivility and harassment at work including abusive supervision; safety climate and employee health; and advertising on social media and video games. Including many illustrative examples of industrial-organizational psychology in real-world workplaces the 11th Edition is thoroughly updated to include the latest theory research and practice on each key topic. Each chapter features defined key terms a chapter outline a chapter summary review questions annotated additional reading and engaging Newsbreak sections. The book will be of interest to undergraduate students in introduction industrial-organizational psychology or psychology of work behaviour courses.

GBP 170.00
1

Deep Learning for Biomedical Applications

Decent Work-Life in Business Essential Tool for Sustainable Development

Nursing Home Social Work Research

Deep Neural Network Applications

Deep Neural Network Applications

The world is on the verge of fully ushering in the fourth industrial revolution of which artificial intelligence (AI) is the most important new general-purpose technology. Like the steam engine that led to the widespread commercial use of driving machineries in the industries during the first industrial revolution; the internal combustion engine that gave rise to cars trucks and airplanes; electricity that caused the second industrial revolution through the discovery of direct and alternating current; and the Internet which led to the emergence of the information age AI is a transformational technology. It will cause a paradigm shift in the way’s problems are solved in every aspect of our lives and from it innovative technologies will emerge. AI is the theory and development of machines that can imitate human intelligence in tasks such as visual perception speech recognition decision-making and human language translation. This book provides a complete overview on the deep learning applications and deep neural network architectures. It also gives an overview on most advanced future-looking fundamental research in deep learning application in artificial intelligence. Research overview includes reasoning approaches problem solving knowledge representation planning learning natural language processing perception motion and manipulation social intelligence and creativity. It will allow the reader to gain a deep and broad knowledge of the latest engineering technologies of AI and Deep Learning and is an excellent resource for academic research and industry applications. | Deep Neural Network Applications

GBP 145.00
1

Object Detection with Deep Learning Models Principles and Applications

Social Work Practice in Mental Health An introduction

Social Work Practice in Mental Health An introduction

'An invaluable resource for social workers in all practice settings not just mental health and a core text for social work students. ' - Dr Valerie Gerrand former AASW representative and board member of the Mental Health Council of Australia'An outstanding and very original contribution to the scholarship on mental health policy research and service. ' - Associate Professor Maria Harries AM University of Western AustraliaDeveloping the skills to work effectively with people who have mental health problems is fundamental to contemporary social work practice. Practitioners face new challenges in a rapidly changing work environment including working with consumers and their families and in multidisciplinary teams. Now more than ever social workers need discipline-specific mental health knowledge and training. This second edition of Social Work Practice in Mental Health continues the guiding principles of the first edition - an emphasis on the centrality of the lived experience of mental illness and the importance of embracing both scientific and relational dimensions of practice. The new edition reflects the latest developments in best practice including the emergence of recovery theory and the importance of evidence-based approaches. This is a comprehensive guide to social work practice in specialist mental health settings as well as in other fields of practice covering the most commonly encountered mental health problems. It features information on assessment case management family work and community work and reveals how the core concerns of social work - human rights self-determination and relationships with family and the wider community - are also central to mental health practice. | Social Work Practice in Mental Health An introduction

GBP 130.00
1

Deep Learning in Time Series Analysis

Deep Learning in Time Series Analysis

Deep learning is an important element of artificial intelligence especially in applications such as image classification in which various architectures of neural network e. g. convolutional neural networks have yielded reliable results. This book introduces deep learning for time series analysis particularly for cyclic time series. It elaborates on the methods employed for time series analysis at the deep level of their architectures. Cyclic time series usually have special traits that can be employed for better classification performance. These are addressed in the book. Processing cyclic time series is also covered herein. An important factor in classifying stochastic time series is the structural risk associated with the architecture of classification methods. The book addresses and formulates structural risk and the learning capacity defined for a classification method. These formulations and the mathematical derivations will help the researchers in understanding the methods and even express their methodologies in an objective mathematical way. The book has been designed as a self-learning textbook for the readers with different backgrounds and understanding levels of machine learning including students engineers researchers and scientists of this domain. The numerous informative illustrations presented by the book will lead the readers to a deep level of understanding about the deep learning methods for time series analysis. | Deep Learning in Time Series Analysis

GBP 115.00
1

Doing Critical Social Work Transformative Practices for Social Justice

Doing Critical Social Work Transformative Practices for Social Justice

Critical social work encourages emancipatory personal and social change. This text focuses on the challenge of incorporating critical theory into the practice of social workers and provides case studies and insights from a range of fields to illustrate how to work with tensions and challenges. Beginning with an outline of the theoretical basis of critical social work and its different perspectives the authors go on to introduce key features of working in this tradition including critical reflection. Part II explores critical practices in confronting privilege and promoting social justice in social work examining such issues as human rights gender poverty and class. Part III considers the development of critical practices within the organisational context of social work including the fields of mental health child and family services within Centrelink and prison settings. Part IV is focused on doing anti- discriminatory and anti-oppressive practice in social work with particular populations including asylum seekers Aboriginal and Torres Strait Islander peoples domestic violence survivors older people and lesbian gay and transgender groups. Finally Part V outlines collectivist and transformative practices in social work and beyond looking at environmental issues social activism the disability movement and globalisation. 'A highly valuable addition to social work education and practice literature in Australia and beyond its shores. ' Ruth Phillips Associate Professor Faculty of Education and Social Work University of Sydney | Doing Critical Social Work Transformative Practices for Social Justice

GBP 130.00
1

Deep Learning A Comprehensive Guide

Machine Learning and Deep Learning Techniques for Medical Image Recognition

Deep Learning and IoT in Healthcare Systems Paradigms and Applications

Social Organization of Medical Work

GBP 130.00
1