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Scores of talented and dedicated people serve the forensic science community, performing vitally important work. However, they are often constrained by lack of adequate resources, sound policies, and national support. It is clear that change and advancements, both systematic and scientific, are needed in a number of forensic science disciplines to ensure the reliability of work, establish enforceable standards, and promote best practices with consistent application. Strengthening Forensic Science in the United States: A Path Forward provides a detailed plan for addressing these needs and suggests the creation of a new government entity, the National Institute of Forensic Science, to establish and enforce standards within the forensic science community. The benefits of improving and regulating the forensic science disciplines are clear: assisting law enforcement officials, enhancing homeland security, and reducing the risk of wrongful conviction and exoneration. Strengthening Forensic Science in the United States gives a full account of what is needed to advance the forensic science disciplines, including upgrading of systems and organizational structures, better training, widespread adoption of uniform and enforceable best practices, and mandatory certification and accreditation programs. While this book provides an essential call-to-action for congress and policy makers, it also serves as a vital tool for law enforcement agencies, criminal prosecutors and attorneys, and forensic science educators.
An evocative, gorgeous four-season look at cooking in Maine, with 100 recipes No one can bring small-town America to life better than a native. Erin French grew up in Freedom, Maine (population 719), helping her father at the griddle in his diner. An entirely self-taught cook who used cookbooks to form her culinary education, she now helms her restaurant, The Lost Kitchen, in a historic mill in the same town, creating meals that draw locals and visitors from around the world to a dining room that feels like an extension of her home kitchen. The food has been called “brilliant in its simplicity and honesty” by Food & Wine, and it is exactly this pure approach that makes Erin’s cooking so appealing—and so easy to embrace at home. This stunning giftable package features a vellum jacket over a printed cover.
A compassionate, shame-free guide for your darkest days “A one-of-a-kind book . . . to read for yourself or give to a struggling friend or loved one without the fear that depression and suicidal thoughts will be minimized, medicalized or over-spiritualized.”—Kay Warren, cofounder of Saddleback Church What happens when loving Jesus doesn’t cure you of depression, anxiety, or suicidal thoughts? You might be crushed by shame over your mental illness, only to be told by well-meaning Christians to “choose joy” and “pray more.” So you beg God to take away the pain, but nothing eases the ache inside. As darkness lingers and color drains from your world, you’re left wondering if God has abandoned you. You just want a way out. But there’s hope. In I Love Jesus, But I Want to Die, Sarah J. Robinson offers a healthy, practical, and shame-free guide for Christians struggling with mental illness. With unflinching honesty, Sarah shares her story of battling depression and fighting to stay alive despite toxic theology that made her afraid to seek help outside the church. Pairing her own story with scriptural insights, mental health research, and simple practices, Sarah helps you reconnect with the God who is present in our deepest anguish and discover that you are worth everything it takes to get better. Beautifully written and full of hard-won wisdom, I Love Jesus, But I Want to Die offers a path toward a rich, hope-filled life in Christ, even when healing doesn’t look like what you expect.
NEW YORK TIMES BESTSELLER • The fourth book in Diana Gabaldon’s acclaimed Outlander saga, the basis for the Starz original series. “Unforgettable characters . . . richly embroidered with historical detail.”—The Cincinnati Post What if you knew someone you loved was going to die? What if you thought you could save them? How much would you risk to try? Claire Randall has gone to find Jamie Fraser, the man she loved more than life, and has left half her heart behind with their daughter, Brianna. Claire gave up Jamie to save Brianna, and now Bree has sent her mother back to the mysterious Scottish warrior who was willing to give his life to save them both. But a chilling discovery in the pages of history suggests that Jamie and Claire’s story doesn’t have a happy ending. Brianna dares a terrifying leap into the unknown in search of her mother and the father she has never met, risking her own future to try to change history . . . and to save their lives. But as Brianna plunges into an uncharted wilderness, a heartbreaking encounter may strand her forever in the past . . . or root her in the place she should be, where her heart and soul belong.
This is the fourth volume in an operational and chronological series covering the U.S. Marine Corps’ participation in the Vietnam War. This volume details the change in focus of the III Marine Amphibious Force (III MAF), which fought in South Vietnam’s northernmost corps area, I Corps. This volume, like its predecessors, concentrates on the ground war in I Corps and III MAF’s perspective of the Vietnam War as an entity. It also covers the Marine Corps participation in the advisory effort, the operations of the two Special Landing Forces of the U.S. Navy’s Seventh Fleet, and the services of Marines with the staff of the U.S. Military Assistance Command, Vietnam. There are additional chapters on supporting arms and logistics, and a discussion of the Marine role in Vietnam in relation to the overall American effort.
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.