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Drawing on over 20 years of practicing social work and more than 15 years of teaching in the field, Cynthia Bisman has developed the components of practice (relationship, assessment, communication, self awareness/use of self, and intervention) into general principles that all practitioners can follow, regardless of their particular theoretical approach or specialized training. Through the use of case studies, this book articulates and analyzes professional social work case work practice and answers such questions as "What is practice?," "Is ther a theory of practice apart from specific interventions?," and "How does one execute practice?" Readers will learn not only specific skills, but also how to think about what they are doing; how to understand practice within context of the profession's values, ethics, and historical traditions; and how to view the relationship of practice to policy issues.

• Sales Rank: #2886713 in Books
• Brand: Brand: Brooks Cole
• Published on: 1993-12-27
• Original language: English
• Number of items: 1
• Dimensions: .73" h x 6.63" w x 9.59" l,
• Binding: Hardcover
• 336 pages

Features

• Used Book in Good Condition

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How is medical knowledge made? New methods for research and clinical care have reshaped the practices of medical knowledge production over the last forty years. Consensus conferences, evidence-based medicine, translational medicine, and narrative medicine are among the most prominent new methods. Making Medical Knowledge explores their origins and aims, their epistemic strengths, and their epistemic weaknesses. Miriam Solomon argues that the familiar dichotomy between the art and the science of medicine is not adequate for understanding this plurality of methods. The book begins by tracing the development of medical consensus conferences, from their beginning at the United States' National Institutes of Health in 1977, to their widespread adoption in national and international contexts. It discusses consensus conferences as social epistemic institutions designed to embody democracy and achieve objectivity. Evidence-based medicine, which developed next, ranks expert consensus at the bottom of the evidence hierarchy, thus challenging the authority of consensus conferences. Evidence-based medicine has transformed both medical research and clinical medicine in many positive ways, but it has also been accused of creating an intellectual hegemony that has marginalized crucial stages of scientific research, particularly scientific discovery. Translational medicine is understood as a response to the shortfalls of both consensus conferences and evidence-based medicine. Narrative medicine is the most prominent recent development in the medical humanities. Its central claim is that attention to narrative is essential for patient care. Solomon argues that the differences between narrative medicine and the other methods have been exaggerated, and offers a pluralistic account of how the all the methods interact and sometimes conflict. The result is both practical and theoretical suggestions for how to improve medical knowledge and understand medical controversies.

• Sales Rank: #1204844 in Books
• Published on: 2015-06-01
• Original language: English
• Number of items: 1
• Dimensions: 5.70" h x 1.00" w x 8.60" l, .0 pounds
• Binding: Hardcover
• 224 pages

Review

"...it is erudite, informative, provocative, and repays with interest engagement with its clearly written text and the author's long experience with medical and scientific epistemology. It is a superlative reference for anyone seeking to find out about modern medical epistemology. Philosophers of medicine and science, sociologists, and historians of medicine will find it of particular value." -- Kennedy Institute of Ethics Journal

"Miriam Solomon (philosophy, Temple Univ.) has written an excellent work that explores common methods of creating medical knowledge...The book is part history and part philosophy, and though Solomon succeeds in both areas, the philosophical and analytical discussions interspersed throughout really stand out and help readers unpack the complexities of each topic. The book is well researched, with plentiful references and footnotes, but does not read in a stereotypically dry, academic way. On the contrary, the book is a pleasure to read. Each chapter is organized into manageable sections, and the index is thorough. This is a well-written, well-organized, and well-constructed book, certainly worth the investment for those interested in any aspect of medicine...Recommended." -- Choice

"The audiences who stand to gain most from this book are undergraduate students in history or philosophy, and perhaps health care professionals with a keen interest in understanding recent developments in medicine...The book achieves a goal more important than overcoming art versus science, to my mind, in that it demonstrates in very clear terms and through example how short-sighted it is to be a selective dogmatist about methods, since it means giving up on methods that are quite good for specific purposes, while ignoring the ways that the ''chosen'' method falls short. This is a lesson worth learning, relearning, and discussing both within medicine and beyond." -- Metascience

"Making Medical Knowledge is a valuable contribution that carefully untangles important epistemic questions in medicine." -- Notre Dame Philosophical Reviews Online

"Making Medical Knowledge is well written, and Solomon's review of the philosophical arguments behind the ongoing debate about evaluating health technology is clear and insightful...[a] brilliant book." -- Hastings Center Report

About the Author

Miriam Solomon, Temple University

Miriam Solomon is Professor of Philosophy at Temple University. She has a BA in Natural Sciences from Cambridge University and a PhD in Philosophy from Harvard University. Her first book was Social Empiricism (MIT Press, 2001) and she is the author of many articles in philosophy of medicine, philosophy of science, gender and science, epistemology and bioethics. She is a Fellow of the College of Physicians of Philadelphia.

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A new and refreshingly different approach to presenting the foundations of statistical algorithms, Foundations of Statistical Algorithms: With References to R Packages reviews the historical development of basic algorithms to illuminate the evolution of today’s more powerful statistical algorithms. It emphasizes recurring themes in all statistical algorithms, including computation, assessment and verification, iteration, intuition, randomness, repetition and parallelization, and scalability. Unique in scope, the book reviews the upcoming challenge of scaling many of the established techniques to very large data sets and delves into systematic verification by demonstrating how to derive general classes of worst case inputs and emphasizing the importance of testing over a large number of different inputs.

Broadly accessible, the book offers examples, exercises, and selected solutions in each chapter as well as access to a supplementary website. After working through the material covered in the book, readers should not only understand current algorithms but also gain a deeper understanding of how algorithms are constructed, how to evaluate new algorithms, which recurring principles are used to tackle some of the tough problems statistical programmers face, and how to take an idea for a new method and turn it into something practically useful.

• Sales Rank: #1992432 in Books
• Published on: 2013-12-09
• Original language: English
• Number of items: 1
• Dimensions: 9.20" h x 1.20" w x 6.50" l, .0 pounds
• Binding: Hardcover
• 500 pages

Review

“My main take away is that these authors spend a lot of time thinking about issues that I never think about. They argue strongly that I, as a statistician, should think about them more, and I find their argument compelling. I certainly enjoyed the various flashes of insight into computation I had as I read their book. … The book’s case studies … are incredibly detailed and deep, far beyond the case studies typically used to illustrate these methods. … I greatly enjoyed the overall arc of the book and found it quite compelling. … a nice book to have on the shelf in case you find yourself suspicious about something computational, or want to find a case study illustrating some topic in computation.”
―Luke W. Miratrix, Journal of the American Statistical Association, March 2015

"… it provides the necessary skills to construct statistical algorithms and hence to contribute to statistical computing. And I wish I had the luxury to teach from Foundations of Statistical Algorithms to my graduate students … a rich book that should benefit a specific niche of statistical graduates and would-be-statisticians, namely those ready to engage into serious statistical programming. It should provide them with the necessary background, out of which they should develop their own tools."
―Christian Robert on his blog, February 2014

"The book is suitable for readers who not only want to understand current statistical algorithms, but also gain a deeper understanding of how the algorithms are constructed and how they operate. It is addressed first and foremost to students and lecturers teaching the foundations of statistical algorithms."
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“… an invaluable resource on several levels. … For a student who wants to become a competent professional in data science, this monograph is an absolute must, with hard-to-find alternatives. For those who are established in the profession, it is a reference to a broad range of issues encountered in everyday practice. Liberally dispensed advice and insights will be particularly appreciated by the practically oriented reader.”
―Mathematical Reviews, June 2015

About the Author
Der Autor, Uwe Ligges, arbeitet am Lehrstuhl fA1/4r ComputergestA1/4tzte Statistik am Fachbereich der UniversitAt Dortmund. R Benutzern ist er u.a. bekannt als Editor der "R Help Desk" Kolumne von "R News," durch seine regelmAAigen und
zahlreichen Hilfeleistungen auf den Mailinglisten R-help und R-devel, als Autor des Pakets "scatterplot3d" und Entwickler der Schnittstelle "R-WinEdt," sowie als Maintainer der Windows-BinArversionen der auf CRAN erhAltlichen Pakete.

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• Sales Rank: #3065070 in Books
• Published on: 1990-10
• Original language: English
• Number of items: 1
• Dimensions: 9.06" h x 1.61" w x 7.40" l,
• Binding: Paperback
• 1063 pages

Most helpful customer reviews

4 of 4 people found the following review helpful.
In depth, LOTS of information, better than Borland manual!
By A Customer
Within two hours of buying the book, all I had done was skip around in it. I hadn't read anything sequentially, and I was already learning new functions for Turbo C++. In fact, he included features of Turbo C++ that weren't even in the Borland manual or help screen. After even jumping around in the book, I was realizing the compiler that I bought had far more power than I realized, and not because Borland explained it, but because Schildt did. He packed a lot of information in this book. The price is up there, but to me it was completely worth it. Lots of information! If you are stuck in Turbo C++ 3.0/3.1, get this book. It is the best reference I've ever read for any programming language

3 of 3 people found the following review helpful.
Excellent
By R.N.Dutt
Probably one of the best available book for Turbo C/C++. The book is good due to three reasons- One, you can start from scratch and you can understand and use a difficult language like C easily. Two, it provides complete to the point as well as easy/with example reference for the C language. Three, it has an excellent reference for turbo C 2.0. Overall, as far as Turbo C is concerened, this is a single book that fulfills most of the requirements. The teaching style of the author is excellent and the reference material is to the point with examples wherever required.

1 of 2 people found the following review helpful.
Confusing for the average programmer/Very technical ref
By A Customer
A very good reference tool for the C programmer. I think it lacked a little in the explanation of differences between C & C++. Let it be known, this is a REFERENCE book. I had a teacher use this as a text book. It is not a book book to try and learn C from, even if you are a decent programmer in another language. I think the examples it attempted to explain were too complex for anyones good.

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Turbo C/C++: The Complete Reference (Borland-Osborne/McGraw-Hill programming series), by Herbert Schildt PDF
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• Sales Rank: #4586265 in Books
• Published on: 2006
• Binding: Single Issue Magazine

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0 of 0 people found the following review helpful.
Perfect condition, came as pictured/expected!
By Brock Balfour
Perfect condition, came as pictured/expected!

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In the past two decades, the familiar experience of attention--the emphasis on a particular mental activity so that it "fills the mind"--has been subjected to much scientific inquiry. David LaBerge now provides a systematic view of the attention process as it occurs in everyday perception, thinking, and action. Drawing from a variety of research methods and findings from cognitive psychology, neurobiology, and computer science, he presents a masterful synthesis of what is understood about attentional processing.

LaBerge explores how we are able to restrict the input of extraneous and confusing information, or prepare to process a future stimulus, in order to take effective action. As well as describing the pathways in the cortex presumed to be involved in attentional processing, he examines the hypothesis that two subcortical structures, the superior colliculus and the thalamus, contain circuit mechanisms that embody an algorithm of attention. In addition, he takes us through various ways of posing the problem, from an information-processing description of how attention works to a consideration of some of the cognitive and behavioral consequences of the brain's computations, such as desiring, judging, imaging, and remembering.

Attentional Processing is a highly sophisticated integration of contributions from several fields of neuroscience. It brings together the latest efforts to solve the puzzle of attention: how it works, how it is modulated, what its benefits are, and how it is expressed in the brain.

• Published on: 2013-10-01
• Original language: English
• Number of items: 1
• Dimensions: 9.37" h x .87" w x 6.38" l, .0 pounds
• Binding: Hardcover
• 256 pages

Review
A book on visual attention that will be accessible and interesting to a broad audience, from students doing their first project in cognitive science, to accomplished researchers in the field. (Lew B. Stelmac Canadian Journal of Pyschology)

LaBerge's lucid study...is highly informative and very readable. LaBerge does full justice to the neurobiological, behavioural and subjective complexities of attention. (Adam Zeman Journal of Neurology, Neurosurgery, and Psychiatry)

[Attentional Processing] provides an excellent review of research on visual attention. Together with his model of neural mechanisms of visual attention, the author also presents important principles that might be generalised to research of neural mechanisms of many other cognitive functions. (Kimmo Alho European Journal of Cognitive Psychology)

This book provides a thoroughgoing treatment of the topic of attention...The author is widely regarded for his contributions to research and theory on attention; this book is yet another strong contribution, providing an account of attentional processes and findings that brings together psychological and physiological accounts of attention in a unified theoretical statement. A very well written and nicely produced work, and a strong contribution to work in the cognitive sciences, written in a style that will communicate both to practitioners and a broad audience. (K.F. Widaman Choice)

About the Author
David LaBerge is Professor of Cognitive Sciences and Psychology, University of California, Irvine.

Most helpful customer reviews

3 of 3 people found the following review helpful.
the best book on attention to date.
By Carlos Camara
This book combines neurology, congnitive psychology, and cognitive science, with a bit of philosophy, to efectively explain how the brain attends. LaBerge starts with conceptual issues, and describes experiments on attention that reveal the structure of preparatory and selective attention. Attention, LaBerge notes, can be implemented by various algorithms. A stimulus can be enhanced, its surround (and therefore distractors) can be inhibited, or bothe can take place at the same time. He also makes the useful distinction between preparation and expectation. Expectation involves working memory while preparation involves actual activity in cortical sites that will code for a expected stimulus. After this is done, he presents evidence of modulation by attention in cortical activity. Finally, he shows how two subcortical structures, more importantly the thalamus, implements tha algorithms for attention. The thalamus then acts as a filter, enhancing the processing of a target, so that it can be attended to. This, is an oversimplification, however. LaBerge considers various cortical areas and their relevance for attention, and concludes that attention emerges form distribuited activity in the brain, and cannot be centered to one mechanism only.
The theory does of conurse require some polishing. Also, the main evidence in favour of his attentional mode in the book, comes from a modeling study. More positive evidence would be required, but I'm certain the relevant work has been done science the book was published. Imaging studies, as well as recording studies give good reason to accept the model.

0 of 0 people found the following review helpful.
Book review
By RR
This book is a terrific one for graduate courses and for leisure time reading. I was out of town and Amazon had this book on my doorstep waiting for me. Thank you...

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Attentional Processing: The Brain's Art of Mindfulness (Perspectives in Cognitive Neuroscience), by David LaBerge PDF
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