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Steadily increasing numbers of Americans have been diagnosed with asthma in recent years, attracting the attention of biomedical researchers, including those searching for a genetic link to the disease. The high rate of asthma among African American children has made race significant to this search for genetic predisposition. One of the primary sites for this research today is Barbados. The Caribbean nation is considered optimal because of its predominantly black population. At the same time, the government of Barbados has promoted the country for such research in an attempt to take part in the biomedical future. In Biomedical Ambiguity, Ian Whitmarsh describes how he followed a team of genetic researchers to Barbados, where he did fieldwork among not only the researchers but also government officials, medical professionals, and the families being tested. Whitmarsh reveals how state officials and medical professionals make the international biomedical research part of state care, bundling together categories of disease populations, biological race, and asthma. He points to state and industry perceptions of mothers as medical caretakers in genetic research that proves to be inextricable from contested practices around nation, race, and family. The reader's attention is drawn to the ambiguity in these practices, as researchers turn the plurality of ethnic identities and illness meanings into a science of asthma and race at the same time that medical practitioners and families make the opaque science significant to patient experience. Whitmarsh shows that the contradictions introduced by this "misunderstanding" paradoxically enable the research to move forward.
From the groundbreaking author of The Second Sex comes a radical argument for ethical responsibility and freedom. In this classic introduction to existentialist thought, French philosopher Simone de Beauvoir’s The Ethics of Ambiguity simultaneously pays homage to and grapples with her French contemporaries, philosophers Jean-Paul Sartre and Maurice Merleau-Ponty, by arguing that the freedoms in existentialism carry with them certain ethical responsibilities. De Beauvoir outlines a series of “ways of being” (the adventurer, the passionate person, the lover, the artist, and the intellectual), each of which overcomes the former’s deficiencies, and therefore can live up to the responsibilities of freedom. Ultimately, de Beauvoir argues that in order to achieve true freedom, one must battle against the choices and activities of those who suppress it. The Ethics of Ambiguity is the book that launched Simone de Beauvoir’s feminist and existential philosophy. It remains a concise yet thorough examination of existence and what it means to be human.
The first comprehensive overview of preprocessing, mining,and postprocessing of biological data Molecular biology is undergoing exponential growth in both thevolume and complexity of biological data—and knowledgediscovery offers the capacity to automate complex search and dataanalysis tasks. This book presents a vast overview of the mostrecent developments on techniques and approaches in the field ofbiological knowledge discovery and data mining (KDD)—providingin-depth fundamental and technical field information on the mostimportant topics encountered. Written by top experts, Biological Knowledge DiscoveryHandbook: Preprocessing, Mining, and Postprocessing of BiologicalData covers the three main phases of knowledge discovery (datapreprocessing, data processing—also known as datamining—and data postprocessing) and analyzes both verificationsystems and discovery systems. BIOLOGICAL DATA PREPROCESSING Part A: Biological Data Management Part B: Biological Data Modeling Part C: Biological Feature Extraction Part D Biological Feature Selection BIOLOGICAL DATA MINING Part E: Regression Analysis of Biological Data Part F Biological Data Clustering Part G: Biological Data Classification Part H: Association Rules Learning from Biological Data Part I: Text Mining and Application to Biological Data Part J: High-Performance Computing for Biological DataMining Combining sound theory with practical applications in molecularbiology, Biological Knowledge Discovery Handbook is idealfor courses in bioinformatics and biological KDD as well as forpractitioners and professional researchers in computer science,life science, and mathematics.
This book constitutes the refereed proceedings of the 5th International Conference on Pattern Recognition in Bioinformatics, PRIB 2010, held in Nijmegen, The Netherlands, in September 2010. The 38 revised full papers presented were carefully reviewed and selected from 46 submissions. The field of bioinformatics has two main objectives: the creation and maintenance of biological databases and the analysis of life sciences data in order to unravel the mysteries of biological function. Computer science methods such as pattern recognition, machine learning, and data mining have a great deal to offer the field of bioinformatics.
th The 15 International Conference on Applications of Natural Language to Information Systems (NLDB 2010) took place during June 23–25 in Cardiff (UK). Since the first edition in 1995, the NLDB conference has been aiming at bringing together resear- ers, people working in industry and potential users interested in various applications of natural language in the database and information system area. However, in order to reflect the growing importance of accessing information from a diverse collection of sources (Web, Databases, Sensors, Cloud) in an equally wide range of contexts (- cluding mobile and tethered), the theme of the 15th International Conference on - plications of Natural Language to Information Systems 2010 was "Communicating with Anything, Anywhere in Natural Language. " Natural languages and databases are core components in the development of inf- mation systems. Natural language processing (NLP) techniques may substantially enhance most phases of the information system lifecycle, starting with requirement analysis, specification and validation, and going up to conflict resolution, result pr- essing and presentation. Furthermore, natural language-based query languages and user interfaces facilitate the access to information for all and allow for new paradigms in the usage of computerized services. Hot topics such as information retrieval (IR), software engineering applications, hidden Markov models, natural language interfaces and semantic networks and graphs imply a complete fusion of databases, IR and NLP techniques.
Getting the right diagnosis is a key aspect of health care - it provides an explanation of a patient's health problem and informs subsequent health care decisions. The diagnostic process is a complex, collaborative activity that involves clinical reasoning and information gathering to determine a patient's health problem. According to Improving Diagnosis in Health Care, diagnostic errors-inaccurate or delayed diagnoses-persist throughout all settings of care and continue to harm an unacceptable number of patients. It is likely that most people will experience at least one diagnostic error in their lifetime, sometimes with devastating consequences. Diagnostic errors may cause harm to patients by preventing or delaying appropriate treatment, providing unnecessary or harmful treatment, or resulting in psychological or financial repercussions. The committee concluded that improving the diagnostic process is not only possible, but also represents a moral, professional, and public health imperative. Improving Diagnosis in Health Care, a continuation of the landmark Institute of Medicine reports To Err Is Human (2000) and Crossing the Quality Chasm (2001), finds that diagnosis-and, in particular, the occurrence of diagnostic errorsâ€"has been largely unappreciated in efforts to improve the quality and safety of health care. Without a dedicated focus on improving diagnosis, diagnostic errors will likely worsen as the delivery of health care and the diagnostic process continue to increase in complexity. Just as the diagnostic process is a collaborative activity, improving diagnosis will require collaboration and a widespread commitment to change among health care professionals, health care organizations, patients and their families, researchers, and policy makers. The recommendations of Improving Diagnosis in Health Care contribute to the growing momentum for change in this crucial area of health care quality and safety.
A bold new indictment of the racialization of science Decades of data cannot be ignored: African American adults are far more likely to develop Type 2 diabetes than white adults. But has science gone so far in racializing diabetes as to undermine the search for solutions? In a rousing indictment of the idea that notions of biological race should drive scientific inquiry, Sweetness in the Blood provides an ethnographic picture of biotechnology’s framings of Type 2 diabetes risk and race and, importantly, offers a critical examination of the assumptions behind the recruitment of African American and African-descent populations for Type 2 diabetes research. James Doucet-Battle begins with a historical overview of how diabetes has been researched and framed racially over the past century, chronicling one company’s efforts to recruit African Americans to test their new diabetes risk-score algorithm with the aim of increasing the clinical and market value of the firm’s technology. He considers African American reticence about participation in biomedical research and examines race and health disparities in light of advances in genomic sequencing technology. Doucet-Battle concludes by emphasizing that genomic research into sub-Saharan ancestry in fact underlines the importance of analyzing gender before attempting to understand the notion of race. No disease reveals this more than Type 2 diabetes. Sweetness in the Blood challenges the notion that the best approach to understanding, managing, and curing Type 2 diabetes is through the lens of race. It also transforms how we think about sugar, filling a neglected gap between the sugar- and molasses-sweetened past of the enslaved African laborer and the high-fructose corn syrup- and corporate-fed body of the contemporary consumer-laborer.
What was the world like for people thousands of years ago? How can we know? Through fiction? This is a work of literary criticism, and more. It begins with a discussion of the problem of authenticity and then considers twelve pieces of fiction that depict human prehistory: H.G. Wells' The Island of Doctor Moreau, Pierre Boulle's The Planet of the Apes, Jules Verne's The Village in the Treetops, Edgar Rice Burroughs' The Land That Time Forgot, the struggle for legitimacy in Wells' "The Grisly Folk," the Tasmanian analogue in Lester Del Rey's "The Day Is Done," William Golding's The Inheritors, "the promise of humanity" in Arthur C. Clarke's 2001: A Space Odyssey, the theme of "a god among the heathen" in Wells' "The Lord of the Dynamos" and other works, Jean Auel's The Clan of the Cave Bear, J.H. Rosny-Aine's Quest for Fire, and Wells' The Time Machine: An Invention. A final chapter considers the paleoanthropologist as literary critic.