An in-depth look at revolutionary new ways to handle sexual assaults. Every two minutes someone in the US is sexually assaulted, and each year there are nearly 300,000 victims of sexual assault. But victims are no longer silent, and new practices by police, prosecutors, nurses, and rape crisis professionals are resulting in more humane and compassionate treatment of victims and more aggressive pursuit and prosecution of perpetrators. Shattering Silencesa is the first book to cover these new approaches and partnerships. Christopher Johnston shows how the people and organizations implementing these new approaches are having far-reaching impacts on helping victims heal and making it more likely that predators will be arrested and sentenced. His in-depth portrayals of the altruistic and hard-working people behind these radical approaches—based on seven years of interviews—provide a template of best practices for other organizations and communities to follow. With sexual assault taking center stage these days, Shattering Silences is more important than ever.
This leading textbook places medical decision-making in its legal context and provides practical guidance on the most ethically challenging cases that face the courts. It explains how the Mental Capacity Act works in practice and how the courts and lawyers wrestle with and resolve problems relating to the very essence of life: what is life? what is an acceptable quality of life? what treatment is so burdensome that it should not be attempted? These questions are posed, not in the abstract but, in real – often desperate, often urgent – situations. This is the essential guide for solicitors, barristers and judges specialising in Court of Protection work, clinical negligence, personal injury and human rights. Postgraduate medical ethics students and academics, NHS bodies and local authority professionals, health professionals and administrators in the NHS and private practice and those in Commonwealth countries with an interest in these topics will also find this book an invaluable resource. Medical Treatment: Decisions and the Law offers a readily accessible text for those dealing with the provision of medical treatment to those without capacity and related areas, providing a clear description of procedure as well as practical application of the law. Key developments for the Fourth Edition include: · The impact of the Covid-19 pandemic on decision making in the Court of Protection, particularly in relation to end of life decisions and vaccination · New chapters on two controversial issues: “the Right to Die?” and “Access to Healthcare: Choice” · Expanded chapter on Decisions for Children, covering recent high-profile cases such as Re Gard where continued provision of life sustaining treatment for babies or very young infants was at issue, and addressing the difficult issues around decision making by 16 to 17 year olds · Substantially updated chapter on Going to Court, covering how the incapacitous patient can be supported to participate in decisions about their treatment Discussion of “Escalation of Care” covering matters including NICE guidelines and care pathways and expanded coverage of issues concerning the funding of treatment. This title is included in Bloomsbury Professional's Clinical Negligence online service.
About the Book Once upon a time, there was a town called Orkenshire. The town was inhabited by Green Giants, who all had green skin, hair, and eyes except for Pauladin, one of the sons of Chief Rawlic and Akira. Pauladin had a different appearance and personality of everyone else in the town especially his brother Rawlic Jr. who was the apple of his parents eye. Thought to be a freak and a possible danger, Pauladin was shunned and rejected by everyone in town, so running away seemed to be the best option. Pauladin’s gentle heart and desire for peace made him revered in his new home Starlight, while his cold-hearted brother Rawlic Jr. led his people into misery, Pauladin would soon become the only one who could save them. Would it be too late for Pauladin to save the people of Orkenshire? The Monster That Attacked Starlight reminds us we should never discriminate against people for their physical traits for we are all special because of our differences. About the Author Christopher Johnston has a variety of experience working in a variety of fields such as two years as a restaurant worker, three years in warehouse, two years working as a security guard, and over a decade of experience as a truck driver. During that time as a driver, Christopher Johnston has worked as a trainer to help new people in the field succeed. During the years as a security guard, Christopher Johnston had obtained an associates, bachelors, and master’s degree in business. The business degrees had specialties in human resources and healthcare management. Christopher has many hobbies such as bowling, hiking, reading, and movies. He is always striving to learn new things and to explore new areas, try new restaurants, as well as try new things in general. His favorite topics of personal study are on astronomy, history, positive thinking skills, and many others.
The beginning of the end! Marcus has long dreamed that "everything ends in fire," but even he didn't expect this! As the city prepares to face his mysterious father, a cabal of his closest advisors plots to assassinate Marcus... but the Lord Founder has a few secrets of his own, and their revelation will bring the city to its knees!
Learning how to apply unsupervised algorithms on unlabeled datasets from scratch can be easier than you thought with this beginner's workshop, featuring interesting examples and activities Key FeaturesGet familiar with the ecosystem of unsupervised algorithmsLearn interesting methods to simplify large amounts of unorganized dataTackle real-world challenges, such as estimating the population density of a geographical areaBook Description Do you find it difficult to understand how popular companies like WhatsApp and Amazon find valuable insights from large amounts of unorganized data? The Unsupervised Learning Workshop will give you the confidence to deal with cluttered and unlabeled datasets, using unsupervised algorithms in an easy and interactive manner. The book starts by introducing the most popular clustering algorithms of unsupervised learning. You'll find out how hierarchical clustering differs from k-means, along with understanding how to apply DBSCAN to highly complex and noisy data. Moving ahead, you'll use autoencoders for efficient data encoding. As you progress, you'll use t-SNE models to extract high-dimensional information into a lower dimension for better visualization, in addition to working with topic modeling for implementing natural language processing (NLP). In later chapters, you'll find key relationships between customers and businesses using Market Basket Analysis, before going on to use Hotspot Analysis for estimating the population density of an area. By the end of this book, you'll be equipped with the skills you need to apply unsupervised algorithms on cluttered datasets to find useful patterns and insights. What you will learnDistinguish between hierarchical clustering and the k-means algorithmUnderstand the process of finding clusters in dataGrasp interesting techniques to reduce the size of dataUse autoencoders to decode dataExtract text from a large collection of documents using topic modelingCreate a bag-of-words model using the CountVectorizerWho this book is for If you are a data scientist who is just getting started and want to learn how to implement machine learning algorithms to build predictive models, then this book is for you. To expedite the learning process, a solid understanding of the Python programming language is recommended, as you'll be editing classes and functions instead of creating them from scratch.
This book explains how deep-seated personality traits shape citizens' attitudes toward economic redistribution, and what it means for American democracy. It will be of interest to researchers from across the social sciences, as well as citizens, pundits, political observers, and commentators from across the political spectrum.
The authors of this book demonstrate that compared to other citizens, ambivalent partisans perceive the political world accurately, form their policy preferences in a principled manner, and communicate those preferences by making issues an important component of their electoral decisions.
What motivates political actors with diverging interests to respect the Supreme Court's authority? A popular answer is that the public serves as the guardian of judicial independence by punishing elected officials who undermine the justices. Curbing the Court challenges this claim, presenting a new theory of how we perceive the Supreme Court. Bartels and Johnston argue that, contrary to conventional wisdom, citizens are not principled defenders of the judiciary. Instead, they seek to limit the Court's power when it suits their political aims, and this inclination is heightened during times of sharp partisan polarization. Backed by a wealth of observational and experimental data, Bartels and Johnston push the conceptual, theoretical, and empirical boundaries of the study of public opinion of the courts. By connecting citizens to the strategic behavior of elites, this book offers fresh insights into the vulnerability of judicial institutions in an increasingly contentious era of American politics.
Religion and Security: The New Nexus in International Relations focuses on a groundbreaking theme. In global security today, religion is not only part of the problem but also part of the solution. This book explores positive nexus points between religion and security, paying particular attention to the resources within the Abrahamic faith traditions of Judaism, Christianity, and Islam that foster sustainable peace. Religion and Security is a lively and insightful collection of analyses by distinguished scholars and practitioners in security, diplomacy, conflict resolution, human rights and theology. As states and nongovernmental organizations alike reconsider their strategies for being relevant in the 21st century, this book provides a practical framework through which both can work toward reducing violence and promoting human dignity. Divided into four parts, Religion and Security addresses themes of war and terrorism, pluralism and stability, military intervention and conflict resolution, and religious freedom and civil society. It underscores a crucial irony: nations that violate religious human rights in the name of 'security' will ultimately be vulnerable to a number of significant threats to stability. This volume is a timely guide to the intersection of religion and security for human rights organizations, security experts, scholars of religion and politics, government and non-government staffers and decision-makers, and students in the disciplines of international affairs.
Captive Mind, Incomplete Life, The Death Row Elegy of Robert Mwalimu is a work of postmodern writing chronicling, in conjunction with two other pieces (The Autobiography of Swimming Bear and White Clouds), the modern human experience.
Collects UMBRAL #1-6 AN INCREDIBLE NEW DARK FANTASY STARTS HERE! The young thief called Rascal witnesses the horrific and brutal murder of the royal family - now the world's dark legends will be relived, and only Rascal even knows it's happening! Master worldbuilders ANTONY JOHNSTON (Wasteland, Daredevil) and CHRISTOPHER MITTEN (Wasteland, Criminal Macabre) bring you a new fantasy world rich in mythology, history, and blood!
This A to Z is the most up-to-date dictionary of building, surveying, and civil engineering terms and definitions available. Written by an experienced team of experts in the respective fields, it covers in over 7,500 entries the key areas of construction technology and practice, civil and construction engineering, construction management techniques and processes, and legal aspects such as contracts and procurement. Illustrations complement entries where necessary and other extra features include entry-level web links, which are listed and regularly updated on a companion website. Its wide coverage makes it the ideal reference for students of construction and related areas, as well as for professionals in the field.
Taking Teaching Seriously expands and enriches discussions about teacher preparation in the United States. Its authors describe the unique contexts for teacher preparation offered by liberal arts institutions and analyze the effects of these programs on their graduates and on K-12 schools. They emphasize that the goals and conditions for teacher preparation differ from larger public institutions in several key respects including supervisor-student teacher relationships, philosophical foundations, and approaches to clinical fieldwork. Taken together, the essays provide compelling evidence that educational studies programs in liberal arts colleges and universities constitute a vital component of the teacher education system in the United States.
This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Design clever algorithms that can uncover interesting structures and hidden relationships in unstructured, unlabeled data Key FeaturesLearn how to select the most suitable Python library to solve your problemCompare k-Nearest Neighbor (k-NN) and non-parametric methods and decide when to use themDelve into the applications of neural networks using real-world datasetsBook Description Unsupervised learning is a useful and practical solution in situations where labeled data is not available. Applied Unsupervised Learning with Python guides you on the best practices for using unsupervised learning techniques in tandem with Python libraries and extracting meaningful information from unstructured data. The course begins by explaining how basic clustering works to find similar data points in a set. Once you are well versed with the k-means algorithm and how it operates, you’ll learn what dimensionality reduction is and where to apply it. As you progress, you’ll learn various neural network techniques and how they can improve your model. While studying the applications of unsupervised learning, you will also understand how to mine topics that are trending on Twitter and Facebook and build a news recommendation engine for users. You will complete the course by challenging yourself through various interesting activities such as performing a Market Basket Analysis and identifying relationships between different merchandises. By the end of this course, you will have the skills you need to confidently build your own models using Python. What you will learnUnderstand the basics and importance of clusteringBuild k-means, hierarchical, and DBSCAN clustering algorithms from scratch with built-in packagesExplore dimensionality reduction and its applicationsUse scikit-learn (sklearn) to implement and analyse principal component analysis (PCA)on the Iris datasetEmploy Keras to build autoencoder models for the CIFAR-10 datasetApply the Apriori algorithm with machine learning extensions (Mlxtend) to study transaction dataWho this book is for This course is designed for developers, data scientists, and machine learning enthusiasts who are interested in unsupervised learning. Some familiarity with Python programming along with basic knowledge of mathematical concepts including exponents, square roots, means, and medians will be beneficial.
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