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Data Science for Neuroimaging
Data science methods and tools—including programming, data management, visualization, and machine learning—and their application to neuroimaging research As neuroimaging turns toward data-intensive discovery, researchers in the field must learn to access, manage, and analyze datasets at unprecedented scales. Concerns about reproducibility and increased rigor in reporting of scientific results also demand higher standards of computational practice. This book offers neuroimaging researchers an introduction to data science, presenting methods, tools, and approaches that facilitate automated, reproducible, and scalable analysis and understanding of data. Through guided, hands-on explorations...
Suicide: Phenomenology and Neurobiology
This book addresses the phenomenology, demographics, and neurobehavioral aspects of suicidal behavior and its risk factors, underscoring common neurobehavioral threads among different approaches which may underlie such extreme behavior. It additionally provides an overview of new approaches, such as imaging techniques to identify at-risk individuals or in response to drug treatment associated with suicidal behavior, neurodevelopmental approaches, genetic and epigenetic linkages to suicidal behavior, animal models of specific risk factors, as well as potential biomarkers being employed to help assess risk.
New Directions in the Ethics of Assisted Suicide and Euthanasia
This book provides novel perspectives on ethical justifiability of assisted dying in the revised edition of New Directions in the Ethics of Assisted Suicide and Euthanasia. Going significantly beyond traditional debates about the value of human life, the ethical significance of individual autonomy, the compatibility of assisted dying with the ethical obligations of medical professionals, and questions surrounding intention and causation, this book promises to shift the terrain of the ethical debates about assisted dying. The novel themes discussed in the revised edition include the role of markets, disability, gender, artificial intelligence, medical futility, race, and transhumanism. Ideal for advanced courses in bioethics and healthcare ethics, the book illustrates how social and technological developments will shape debates about assisted dying in the years to come.
The Misinformation Age
“Empowering and thoroughly researched, this book offers useful contemporary analysis and possible solutions to one of the greatest threats to democracy.” —Kirkus Reviews Editors’ choice, The New York Times Book Review Recommended reading, Scientific American Why should we care about having true beliefs? And why do demonstrably false beliefs persist and spread despite bad, even fatal, consequences for the people who hold them? Philosophers of science Cailin O’Connor and James Weatherall argue that social factors, rather than individual psychology, are what’s essential to understanding the spread and persistence of false beliefs. It might seem that there’s an obvious reason that ...
The Certainty of Uncertainty
The world is full of people who are very certain--in politics, in religion, in all manner of things. In addition, political, religious, and social organizations are marketing certainty as a cure all to all life's problems. But is such certainty possible? Or even good? The Certainty of Uncertainty explores the question of certainty by looking at the reasons human beings crave certainty and the religious responses we frequently fashion to help meet that need. The book takes an in-depth view of religion, language, our senses, our science, and our world to explore the inescapable uncertainties they reveal. We find that the certainty we crave does not exist. As we reflect on the unavoidable uncertainties in our world, we come to understand that letting go of certainty is not only necessary, it's beneficial. For, in embracing doubt and uncertainty, we find a more meaningful and courageous religious faith, a deeper encounter with mystery, and a way to build strong relationships across religious and philosophical lines. In The Certainty of Uncertainty, we see that embracing our belief systems with humility and uncertainty can be transformative for ourselves and for our world.
Allosteric Receptor Modulation in Drug Targeting
Offering a wide array of illustrations and tables in every chapter, this book extensively covers the principles of allosterism in reference to drug action and progresses to a detailed examination of individual ionotropic and G-protein coupled receptor systems-helping those new to the subject understand the importance of allosterism and providing th
The New Mind Readers
Thinking on 20 watts -- The visible mind -- fMRI grows up -- Can fMRI read minds? -- How do brains change over time? -- Crimes and lies -- Decision neuroscience -- Is mental illness just a brain disease? -- The future of neuroimaging.
Of Maybugs and Men
A much-needed exploration of the history and philosophy of scientific research into male homosexuality. Questions about the naturalness or unnaturalness of homosexuality are as old as the hills, and the answers have often been used to condemn homosexuals, their behaviors, and their relationships. In the past two centuries, a number of sciences have involved themselves in this debate, introducing new vocabularies, theories, arguments, and data, many of which have gradually helped tip the balance toward tolerance and even acceptance. In this book, philosophers Pieter R. Adriaens and Andreas De Block explore the history and philosophy of the gay sciences, revealing how individual and societal v...
Regression Modeling for Linguistic Data
The first comprehensive textbook on regression modeling for linguistic data offers an incisive conceptual overview along with worked examples that teach practical skills for realistic data analysis. In the first comprehensive textbook on regression modeling for linguistic data in a frequentist framework, Morgan Sonderegger provides graduate students and researchers with an incisive conceptual overview along with worked examples that teach practical skills for realistic data analysis. The book features extensive treatment of mixed-effects regression models, the most widely used statistical method for analyzing linguistic data. Sonderegger begins with preliminaries to regression modeling: assu...
