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Computational Modeling and Simulation Examples in Bioengineering
by Nenad D. FilipovicA systematic overview of the quickly developing field of bioengineering—with state-of-the-art modeling software! Computational Modeling and Simulation Examples in Bioengineering provides a comprehensive introduction to the emerging field of bioengineering. It provides the theoretical background necessary to simulating pathological conditions in the bones, muscles, cardiovascular tissue, and cancers, as well as lung and vertigo disease. The methodological approaches used for simulations include the finite element, dissipative particle dynamics, and lattice Boltzman. The text includes access to a state-of-the-art software package for simulating the theoretical problems. In this way, the book enhances the reader's learning capabilities in the field of biomedical engineering. The aim of this book is to provide concrete examples of applied modeling in biomedical engineering. Examples in a wide range of areas equip the reader with a foundation of knowledge regarding which problems can be modeled with which numerical methods. With more practical examples and more online software support than any competing text, this book organizes the field of computational bioengineering into an accessible and thorough introduction. Computational Modeling and Simulation Examples in Bioengineering: Includes a state-of-the-art software package enabling readers to engage in hands-on modeling of the examples in the book Provides a background on continuum and discrete modeling, along with equations and derivations for three key numerical methods Considers examples in the modeling of bones, skeletal muscles, cartilage, tissue engineering, blood flow, plaque, and more Explores stent deployment modeling as well as stent design and optimization techniques Generates different examples of fracture fixation with respect to the advantages in medical practice applications Computational Modeling and Simulation Examples in Bioengineering is an excellent textbook for students of bioengineering, as well as a support for basic and clinical research. Medical doctors and other clinical professionals will also benefit from this resource and guide to the latest modeling techniques.
Alcohol Use/Abuse Among Latinos
by Melvin DelgadoIn Alcohol Use/Abuse Among Latinos: Issues and Examples of Culturally Competent Services, you will learn how to design and improve services for Latinos with substance abuse problems by understanding that the cultures and personal backgrounds of your clients are crucial to the counseling process. This text will also show you how these service skills apply to the individual, family, or an entire community. Studies show that, according to patients, culturally sensitive and responsive practitioners are generally more credible, trusted, and effective. Alcohol Use/Abuse Among Latinos takes into account several different aspects that will help you develop these traits and provide successful services for Latinos dealing with alcohol or other drug problems. You&’ll gain valuable insight into:the five elements that are vital to a successful ATOD (Alcohol, tobacco and Other Drug) service--multiculturism, resilience/strengths, competence, community capacity development, and community participation--plus a detailed explanation of why they are needed step-by-step instructions for using three methods, supervision, inservice training, and consultation, as means of providing ongoing learning of cross-cultural competencies to practitioners why key factors such as economic background, gender, and sexual orientation need to be taken into consideration for ATOD services to be effective demographic patterns and case studies of Latino users and abusers of alcohol and other drugs that illustrate the growing number of Latinos in need of ATOD services why the practitioner needs to be aware of how family importance, values attached to cooperation versus competition, sociability, respect, and action-oriented problem-solving play a role in effective services for Latinos the need for practitioners to understand how ethnic identity, biculturality, Spanish language fluency, gender-specific role expectations, skin color, and overall sense of self can affect the success of services for Latino teenagers how excessive marketing of alcohol to Latino communities, lack of representation, and a lack of community involvement are key barriers to successful ATOD services for LatinosAlcohol Use/Abuse Among Latinos also discusses Latino mens’and womens’individual needs concerning substance abuse. One of the topics addressed, the loss of self-esteem, has been found to be a contributing factor to alcohol use and abuse for Latinas. It offers ways you can promote self-esteem in your Latina clients by focusing on their cultural heritage and pride. In addition, this text takes a unique look Latina lesbians and how training through educational and agency internship programs can promote awareness to your clients&’ special needs concerning substance abuse. Alcohol Use/Abuse Among Latinos will help you provide all of your Latino clients with efficient and culture-friendly services for resisting or overcoming the abuse of alcohol, tobacco, or other drugs.
ARRT EXAMINATION IN COMPUTED TOMOGRAPHY (CT)
by National Learning CorporationThe Admission Test Series prepares students for entrance examinations into college, graduate and professional school as well as candidates for professional certification and licensure. The ARRT Examination In Computed Tomography (CT) Passbook® prepares you for your test by allowing you to take practice exams in the subjects you need to study. It provides hundreds of questions and answers in the areas that will likely be covered on your upcoming exam, including but not limited to: patient care; imaging procedures; physics and instrumentation; and more.
Exploring the DataFlow Supercomputing Paradigm
by Veljko Milutinovic and Milos KotlarThis useful text/reference describes the implementation of a varied selection of algorithms in the DataFlow paradigm, highlighting the exciting potential of DataFlow computing for applications in such areas as image understanding, biomedicine, physics simulation, and business. The mapping of additional algorithms onto the DataFlow architecture is also covered in the following Springer titles from the same team: DataFlow Supercomputing Essentials: Research, Development and Education, DataFlow Supercomputing Essentials: Algorithms, Applications and Implementations, and Guide to DataFlow Supercomputing. Topics and Features: introduces a novel method of graph partitioning for large graphs involving the construction of a skeleton graph; describes a cloud-supported web-based integrated development environment that can develop and run programs without DataFlow hardware owned by the user; showcases a new approach for the calculation of the extrema of functions in one dimension, by implementing the Golden Section Search algorithm; reviews algorithms for a DataFlow architecture that uses matrices and vectors as the underlying data structure; presents an algorithm for spherical code design, based on the variable repulsion force method; discusses the implementation of a face recognition application, using the DataFlow paradigm; proposes a method for region of interest-based image segmentation of mammogram images on high-performance reconfigurable DataFlow computers; surveys a diverse range of DataFlow applications in physics simulations, and investigates a DataFlow implementation of a Bitcoin mining algorithm. This unique volume will prove a valuable reference for researchers and programmers of DataFlow computing, and supercomputing in general. Graduate and advanced undergraduate students will also find that the book serves as an ideal supplementary text for courses on Data Mining, Microprocessor Systems, and VLSI Systems.
Exploring the DataFlow Supercomputing Paradigm
by Veljko Milutinovic and Milos KotlarThis useful text/reference describes the implementation of a varied selection of algorithms in the DataFlow paradigm, highlighting the exciting potential of DataFlow computing for applications in such areas as image understanding, biomedicine, physics simulation, and business.The mapping of additional algorithms onto the DataFlow architecture is also covered in the following Springer titles from the same team: DataFlow Supercomputing Essentials: Research, Development and Education, DataFlow Supercomputing Essentials: Algorithms, Applications and Implementations, and Guide to DataFlow Supercomputing.Topics and Features: introduces a novel method of graph partitioning for large graphs involving the construction of a skeleton graph; describes a cloud-supported web-based integrated development environment that can develop and run programs without DataFlow hardware owned by the user; showcases a new approach for the calculation of the extrema of functions in one dimension, by implementing the Golden Section Search algorithm; reviews algorithms for a DataFlow architecture that uses matrices and vectors as the underlying data structure; presents an algorithm for spherical code design, based on the variable repulsion force method; discusses the implementation of a face recognition application, using the DataFlow paradigm; proposes a method for region of interest-based image segmentation of mammogram images on high-performance reconfigurable DataFlow computers; surveys a diverse range of DataFlow applications in physics simulations, and investigates a DataFlow implementation of a Bitcoin mining algorithm.This unique volume will prove a valuable reference for researchers and programmers of DataFlow computing, and supercomputing in general. Graduate and advanced undergraduate students will also find that the book serves as an ideal supplementary text for courses on Data Mining, Microprocessor Systems, and VLSI Systems.
Building Computer Vision Applications Using Artificial Neural Networks
by Shamshad AnsariComputer vision is constantly evolving, and this book has been updated to reflect new topics that have emerged in the field since the first edition’s publication. All code used in the book has also been fully updated. This second edition features new material covering image manipulation practices, image segmentation, feature extraction, and object identification using real-life scenarios to help reinforce each concept. These topics are essential for building advanced computer vision applications, and you’ll gain a thorough understanding of them. The book’s source code has been updated from TensorFlow 1.x to 2.x, and includes step-by-step examples using both OpenCV and TensorFlow with Python. Upon completing this book, you’ll have the knowledge and skills to build your own computer vision applications using neural networks What You Will Learn Understand image processing, manipulation techniques, and feature extraction methodsWork with convolutional neural networks (CNN), single-shot detector (SSD), and YOLOUtilize large scale model development and cloud infrastructure deploymentGain an overview of FaceNet neural network architecture and develop a facial recognition system Who This Book Is For Those who possess a solid understanding of Python programming and wish to gain an understanding of computer vision and machine learning. It will prove beneficial to data scientists, deep learning experts, and students.
Cracking the AP Computer Science A Exam, 2017 Edition
by Princeton ReviewThis eBook edition has been specially formatted for on-screen viewing with cross-linked questions, answers, and explanations.EVERYTHING YOU NEED TO HELP SCORE A PERFECT 5. Equip yourself to ace the AP Computer Science A Exam with The Princeton Review's brand-new, comprehensive study guide--including 2 full-length practice tests, thorough content reviews, access to our AP Connect online portal, and targeted strategies for every section of the exam.This brand new addition to our best-selling Cracking the AP Exam series is perfect for students tackling the fast-growing AP Computer Science A test. Easy to understand and simple to use, this book gives you all the tools you need to get the score you want.Everything You Need to Know to Help Achieve a High Score.* Comprehensive content review of key Computer Science A topics, including lab requirements* Up-to-date information on the 2017 AP Computer Science A Exam* Engaging activities to help you critically assess your progress* Access to AP Connect, our online portal for helpful pre-college information and exam updatesPractice Your Way to Excellence.* 2 full-length practice tests with detailed answer explanations* Comprehension drills in each content review chapter* Step-by-step walk-throughs of sample questionsTechniques That Actually Work.* Tried-and-true strategies to help you avoid traps and beat the test* Tips for pacing yourself and guessing logically* Essential tactics to help you work smarter, not harder
A Study Guide for the Operator Certificate of Professional Competence (CPC) in Road Freight 2020
by Clive PidgeonA Study Guide for the Operator Certificate of Professional Competence (CPC) in Road Freight 2020 is a vital study guide that offers the thorough preparation needed to pass the tough CPC exams in the UK. It covers the examination method used by the Oxford, Cambridge and RSA (OCR) and the Chartered Institute of Logistics and Transport (CILT). This is the Level 3 standard qualification overseen by The Office of Qualifications and Examinations Regulation (OFQUAL) and the Welsh Assembly Government, which is required by any person wishing to operate vehicles over 3,500 kg, the maximum authorised mass for hire and reward, in the UK and internationally.A Study Guide for the Operator Certificate of Professional Competence (CPC) in Road Freight 2020 has been extensively revised to include all the new legislation. It covers the eight study sections that the directive requires: civil law; commercial law; social law; fiscal law; business; financial; management of the undertaking access to the market; technical standards and technical aspects of the operation road safety. It features many case studies, examples, diagrams and graphics. New to this edition: updated sections on operator licencing, drivers' hours, tachographs, vehicle testing, vehicle tax, vehicle registration, civil law, international driving and documentation.
A Study Guide for the Operator Certificate of Professional Competence (CPC) in Road Freight 2020
by Clive PidgeonA Study Guide for the Operator Certificate of Professional Competence (CPC) in Road Freight 2020 is a vital study guide that offers the thorough preparation needed to pass the tough CPC exams in the UK. It covers the examination method used by the Oxford, Cambridge and RSA (OCR) and the Chartered Institute of Logistics and Transport (CILT). This is the Level 3 standard qualification overseen by The Office of Qualifications and Examinations Regulation (OFQUAL) and the Welsh Assembly Government, which is required by any person wishing to operate vehicles over 3,500 kg, the maximum authorised mass for hire and reward, in the UK and internationally.A Study Guide for the Operator Certificate of Professional Competence (CPC) in Road Freight 2020 has been extensively revised to include all the new legislation. It covers the eight study sections that the directive requires: civil law; commercial law; social law; fiscal law; business; financial; management of the undertaking access to the market; technical standards and technical aspects of the operation road safety. It features many case studies, examples, diagrams and graphics. New to this edition: updated sections on operator licencing, drivers' hours, tachographs, vehicle testing, vehicle tax, vehicle registration, civil law, international driving and documentation.
Female Ex-Combatants, Empowerment, and Reintegration
by Michanne SteenbergenFemale Ex-Combatants, Empowerment, and Reintegration investigates the role of United Nations-led Disarmament, Demobilization, and Reintegration (DDR) programs in undermining female ex-combatants’ empowerment. The participation of female combatants in conflict has increasingly been recognized in feminist literatures and in policies and programs concerned with reintegrating ex-combatants and building peace. This has illustrated that female ex-combatants often experience "empowerment" through their role as combatant; however, this empowerment is often lost upon reintegration. UN-led DDR plays an important role in the broader peacebuilding process, as it is one of the largest interventions and directly aims to reintegrate ex-combatants into civilian life. This book draws on extensive field research and interviews with female ex-combatants and DDR officials in Liberia and Nepal to develop a nuanced and comprehensive picture of female ex-combatants’ empowerment and how this is undermined by DDR. Through reconceptualized frameworks of empowerment and an emancipatory peace, the book explores the pivotal role that DDR programs play in undermining female ex-combatants’ empowerment. The author argues that this is detrimental to peacebuilding, because DDR officials and documentation narrate female ex-combatants in limited and gendered ways, which reproduces gendered inequalities and define how female ex-combatants should behave. This book will be of great interest to scholars and practitioners working on gender, conflict, peace, security, and development.
Advanced Computational Methods for Knowledge Engineering
by Nguyen-Thinh Le and Tien Van Do and Ngoc Thanh Nguyen and Hoai An ThiThese proceedings consist of 19 papers, which have been peer-reviewed by international program committee and selected for the 5th International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA 2017), which was held on June 30–July 1, 2017 in Berlin, Germany. The respective chapters discuss both theoretical and practical issues in connection with computational methods and optimization methods for knowledge engineering. The broad range of application areas discussed includes network computing, simulation, intelligent and adaptive e-learning, information retrieval, sentiment analysis, autonomous underwater vehicles, social media analysis, natural language processing, biomimetics in organizations, and cash management. In addition to pure content, the book offers many inspiring ideas and suggests new research directions, making it a valuable resource for graduate students, Ph.D. students, and researchers in Computer Science and Applied Mathematics alike.
Advanced Computational Methods for Knowledge Engineering
by Ngoc Thanh Nguyen and Tien Van Do and Hoai An Le Thi and Nguyen-Thinh LeThe proceedings consists of 30 papers which have been selected and invited from the submissions to the 2nd International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA 2014) held on 8-9 May, 2014 in Budapest, Hungary. The conference is organized into 7 sessions: Advanced Optimization Methods and Their Applications, Queueing Models and Performance Evaluation, Software Development and Testing, Computational Methods for Mobile and Wireless Networks, Computational Methods for Knowledge Engineering, Logic Based Methods for Decision Making and Data Mining and Nonlinear Systems and Applications, respectively. All chapters in the book discuss theoretical and practical issues connected with computational methods and optimization methods for knowledge engineering. The editors hope that this volume can be useful for graduate and Ph. D. students and researchers in Computer Science and Applied Mathematics. It is the hope of the editors that readers of this volume can find many inspiring ideas and use them to their research. Many such challenges are suggested by particular approaches and models presented in individual chapters of this book.
Introduction to Computer Programming (using Java)
by National Learning CorporationThe Excelsior/Regents College Examinations (E/RCE) offer you an opportunity to obtain recognition for college-level learning and consists of exams designed to demonstrate achievement and mastery of various college-level subjects, such as the Arts and Sciences, Business, Criminal Justice, Education, Health and Nursing. The E/RCE Introduction to Computer Programming (Using Java) Passbook® prepares you by sharpening knowledge of the skills and concepts necessary to succeed on the upcoming exam and the college courses that follow. It provides a series of informational texts as well as hundreds of questions and answers in the areas that will likely be covered on your upcoming exam, including computer operations; principles of computer programming; knowledge of Java; and more.
Triveni Competetive Exam
by Acharya Ramachandra Shukla'Triveni' is a collection of three critical essays by Acharya Ramchandra Shukla. Those essays are: 1. Malik Muhammad Jayasi, 2. Mahakavi Surdas and 3. Goswami Tulsidas. Acharya Shukla is known as an outstanding literary writer, critic, essayist and historian of literature. He was also a skilled translator. The paradigms he set for analyzing and evaluating Hindi literature have not been able to progress beyond this.
Practical Computer Vision Applications Using Deep Learning with CNNs
by Ahmed Fawzy GadDeploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional neural network (CNN) deep learning model and Python. This book starts by explaining the traditional machine-learning pipeline, where you will analyze an image dataset. Along the way you will cover artificial neural networks (ANNs), building one from scratch in Python, before optimizing it using genetic algorithms. For automating the process, the book highlights the limitations of traditional hand-crafted features for computer vision and why the CNN deep-learning model is the state-of-art solution. CNNs are discussed from scratch to demonstrate how they are different and more efficient than the fully connected ANN (FCNN). You will implement a CNN in Python to give you a full understanding of the model.After consolidating the basics, you will use TensorFlow to build a practical image-recognition model that you will deploy to a web server using Flask, making it accessible over the Internet. Using Kivy and NumPy, you will create cross-platform data science applications with low overheads.This book will help you apply deep learning and computer vision concepts from scratch, step-by-step from conception to production. What You Will Learn Understand how ANNs and CNNs work Create computer vision applications and CNNs from scratch using PythonFollow a deep learning project from conception to production using TensorFlowUse NumPy with Kivy to build cross-platform data science applicationsWho This Book Is ForData scientists, machine learning and deep learning engineers, software developers.
Computer Vision
by Lutz PrieseDer Autor erläutert in dieser Einführung auf Bachelorniveau die in der Computer Vision verwendeten technischen Ausdrücke: Grundlagen des menschlichen Sehens, Farbe, exakte Begriffsbestimmungen zum Thema "Bild", Transformationen, lineare und nicht-lineare Filter, Fouriertransformation, Morphologie, Merkmale im Bild wie Kanten, Ecken, geometrische Formen mittels Hough-Transformation, diverse Hüllen und Skelettierung. Ferner höhere Merkmale wie SIFT, Shape-Context und statistische Merkmale, Texturmerkmale. Die Bestimmung von Segmenten (zusammenhängende Regionen ähnlicher Farben oder Grauwerte) wird in einem eigenen Kapitel ausführlich behandelt.
Building Computer Vision Applications Using Artificial Neural Networks
by Shamshad AnsariComputer vision is constantly evolving, and this book has been updated to reflect new topics that have emerged in the field since the first edition’s publication. All code used in the book has also been fully updated. This second edition features new material covering image manipulation practices, image segmentation, feature extraction, and object identification using real-life scenarios to help reinforce each concept. These topics are essential for building advanced computer vision applications, and you’ll gain a thorough understanding of them. The book’s source code has been updated from TensorFlow 1.x to 2.x, and includes step-by-step examples using both OpenCV and TensorFlow with Python. Upon completing this book, you’ll have the knowledge and skills to build your own computer vision applications using neural networks What You Will Learn Understand image processing, manipulation techniques, and feature extraction methodsWork with convolutional neural networks (CNN), single-shot detector (SSD), and YOLOUtilize large scale model development and cloud infrastructure deploymentGain an overview of FaceNet neural network architecture and develop a facial recognition system Who This Book Is For Those who possess a solid understanding of Python programming and wish to gain an understanding of computer vision and machine learning. It will prove beneficial to data scientists, deep learning experts, and students.
Exploratory Multivariate Analysis by Example Using R
by Francois Husson and Sebastien Le and Jérôme PagèsFull of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R, Second Edition focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) a
Exploratory Multivariate Analysis by Example Using R
by Francois Husson and Sebastien Le and Jérôme PagèsFull of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R, Second Edition focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) a
Society 5.0 and the Future of Emerging Computational Technologies
by Neeraj Mohan and Surbhi Gupta and Chuan-Ming LiuThis book discusses the technological aspects for the implementation of Society 5.0. The foundation and recent advances of emerging technologies such as artificial intelligence, data science, Internet of Things, and Big Data for the realization of Society 5.0 are covered. Practical solutions to existing problems, examples, and case studies are also offered. Society 5.0 and the Future of Emerging Computational Technologies: Practical Solutions, Examples, and Case Studies discusses technologies such as machine learning, artificial intelligence, and Internet of Things for the implementation of Society 5.0. It offers a firm foundation and understanding of the recent advancements in various domains such as data analytics, neural networks, computer vision, and robotics, along with practical solutions to existing problems in fields such as healthcare, manufacturing industries, security, and infrastructure management. Applications and implementations are highlighted along with the correlation between technologies. Examples and case studies are presented throughout the book to augment text. This book can be used by research scholars in the engineering domain who wish to gain knowledge and contribute towards a modern and secure future society. The book will also be useful as a reference at universities for postgraduate students who are interested in technological advancements.
Computer Vision
by Lutz PrieseDer Autor erläutert in dieser Einführung auf Bachelorniveau die in der Computer Vision verwendeten technischen Ausdrücke: Grundlagen des menschlichen Sehens, Farbe, exakte Begriffsbestimmungen zum Thema "Bild", Transformationen, lineare und nicht-lineare Filter, Fouriertransformation, Morphologie, Merkmale im Bild wie Kanten, Ecken, geometrische Formen mittels Hough-Transformation, diverse Hüllen und Skelettierung. Ferner höhere Merkmale wie SIFT, Shape-Context und statistische Merkmale, Texturmerkmale. Die Bestimmung von Segmenten (zusammenhängende Regionen ähnlicher Farben oder Grauwerte) wird in einem eigenen Kapitel ausführlich behandelt.
A Unifying Framework for Formal Theories of Novelty
by Terrance Boult and Walter ScheirerThis book presents the first unified formalization for defining novelty across the span of machine learning, symbolic-reasoning, and control and planning-based systems. Dealing with novelty, things not previously seen by a system, is a critical issue for building vision-systems and general intelligent systems. The book presents examples of using this framework to define and evaluate in multiple domains including image recognition image-based open world learning, hand-writing and author analysis, CartPole Control, Image Captioning, and Monopoly. Chapters are written by well-known contributors to this new and emerging field. In addition, examples are provided from multiple areas, such as machine-learning based control problems, symbolic reasoning, and multi-player games.
Building Computer Vision Applications Using Artificial Neural Networks
by Shamshad AnsariApply computer vision and machine learning concepts in developing business and industrial applications using a practical, step-by-step approach. The book comprises four main sections starting with setting up your programming environment and configuring your computer with all the prerequisites to run the code examples. Section 1 covers the basics of image and video processing with code examples of how to manipulate and extract useful information from the images. You will mainly use OpenCV with Python to work with examples in this section. Section 2 describes machine learning and neural network concepts as applied to computer vision. You will learn different algorithms of the neural network, such as convolutional neural network (CNN), region-based convolutional neural network (R-CNN), and YOLO. In this section, you will also learn how to train, tune, and manage neural networks for computer vision. Section 3 provides step-by-step examples of developing business and industrial applications, such as facial recognition in video surveillance and surface defect detection in manufacturing. The final section is about training neural networks involving a large number of images on cloud infrastructure, such as Amazon AWS, Google Cloud Platform, and Microsoft Azure. It walks you through the process of training distributed neural networks for computer vision on GPU-based cloud infrastructure. By the time you finish reading Building Computer Vision Applications Using Artificial Neural Networks and working through the code examples, you will have developed some real-world use cases of computer vision with deep learning. What You Will Learn · Employ image processing, manipulation, and feature extraction techniques · Work with various deep learning algorithms for computer vision · Train, manage, and tune hyperparameters of CNNs and object detection models, such as R-CNN, SSD, and YOLO · Build neural network models using Keras and TensorFlow · Discover best practices when implementing computer vision applications in business and industry · Train distributed models on GPU-based cloud infrastructure Who This Book Is For Data scientists, analysts, and machine learning and software engineering professionals with Python programming knowledge.
Reintegration of Ex-Combatants After Conflict
by Walt KilroyReintegration programmes for ex-combatants are supposed to support the wider peace process. This study looks at the way they were carried out in Sierra Leone and Liberia and assesses the degree to which they were conducted in a participatory way. To a large extent, ex-combatants felt that they had received unreliable information and had been afforded little input in the process. Others, whose experience had been more participatory, were faring better in terms of work, economic situation andcommunity relations. Reintegration of Ex-Combatants After Conflict is based on detailed interviews with a wide range of stakeholders, and on a survey and focus group discussions with ex-combatants. Their voices are clearly heard, in both the qualitative and quantitative data. Kilroy explores the important implications for the effect of reintegration programmes on the wider peacebuilding project. Social capital, which affects the peace process, is also highlighted, as the extent to which this can be created or undermined depends on the way the programmes were conducted. Kilroy's insightful study will appeal to all those with an interest in conflict resolution, post-war recovery, and development.
Ex-Combatants, Religion, and Peace in Northern Ireland
by John D. Brewer and David Mitchell and Gerard LeaveyStudies of Northern Ireland's ex-combatants ignore religion, while advocates of religious interventions in transitional justice exaggerate its influence. Using interview data with ex-combatants, this book explores religious influences upon violence and peace, and develops a model for evaluating the role of religion in transitional justice.