LEADER 04215nam 2200613 a 450 001 9910481028303321 005 20200711011305.0 010 $a1-322-30695-8 010 $a1-4522-6430-9 035 $a(CKB)2550000000105522 035 $a(EBL)996780 035 $a(OCoLC)815786019 035 $a(SSID)ssj0000675642 035 $a(PQKBManifestationID)12260213 035 $a(PQKBTitleCode)TC0000675642 035 $a(PQKBWorkID)10670382 035 $a(PQKB)11083999 035 $a(OCoLC)988801564 035 $a(StDuBDS)EDZ0000063653 035 $a(MiAaPQ)EBC996780 035 $a(EXLCZ)992550000000105522 100 $a20120319d2003 fy| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aHandbook of mind-body medicine for primary care$b[electronic resource] /$feditors, Donald Moss ... [et. al.] 210 $aThousand Oaks, Calif. ;$aLondon $cSAGE$dc2003 215 $a1 online resource (567 p.) 300 $aDescription based upon print version of record. 311 $a1-4522-3260-1 311 $a0-7619-2323-3 320 $aIncludes bibliographical references and index. 327 $aCover; Contents; Foreword: Common Problems in Primary Care; Part I: MODELS AND CONCEPTS FOR MIND-BODY MEDICINE; 1 - Mind-Body Medicine, Evidence-Based Medicine, Clinical Psychophysiology, and Integrative Medicine; 2 - The High Risk Model of Threat Perception and the Trojan Horse Role Induction: Somatization and Psychophysiological Disease; 3 - Psychophysiological Foundations of the Mind-Body Therapies; 4 - Complementary, Alternative, and Integrative Medicine; 5 - The Placebo Effect and Its Use in Biofeedback Therapy 327 $a6 - A Comprehensive Approach to Primary Care Medicine: Mind and Body in the Clinic7 - Professional Ethics and Practice Standards in Mind-Body Medicine; Part II: BASIC CLINICAL TOOLS; 8 - Biofeedback and Biological Monitoring; 9 - Neurofeedback, Neurotherapy, and Quantitative EEG; 10 - Progressive Relaxation, Autogenic Training, and Meditation; 11 - Hypnotherapy; 12 - Cognitive-Behavioral Therapies for the Medical Clinic; 13 - Acupuncture; 14 - Spirituality and Healing; Part III: APPLICATIONS TO COMMON DISORDERS; 15 - The Biobehavioral Treatment of Headache 327 $a16 - Temporomandibular Disorders and Facial Pain17 - Asthma; 18 - Coronary Disease and Congestive Heart Disorder; 19 - Back Pain: Musculoskeletal Pain Syndrome; 20 - The Metabolic Syndrome: Obesity, Type 2 Diabetes, Hypertension, and Hyperlipidemia; 21 - Functional Bowel and Anorectal Disorders; 22 - Urinary Incontinence; 23 - Fibromyalgia; 24 - Chronic Fatigue Syndrome; 25 - Attention Deficit Hyperactivity Disorder; 26 - Anxiety Disorders; 27 - Mood Disorders; 28 - Sleep and Sleep Disorders; 29 - Rheumatoid Arthritis; 30 - Premenstrual Syndrome and Premenstrual Dysphoric Disorder 327 $a31 - Caring for the Person With a Chronic ConditionPart IV: EDUCATION FOR MIND-BODY MEDICINE; 32 - Medical Education forMind-Body Medicine; 33 - Nursing Education for Mind-Body Nursing; 34 - The Professional Role and Education of Physician Assistants in Mind-Body Medicine; 35 - The Behavioral Health Provider in Mind-Body Medicine; 36 - Existential and Spiritual Dimensions of Primary Care: Healing the Wounded Soul; Author Index; About the Editors; About the Contributors 330 8 $aEmphasizing the concepts and technologies of clinical psychophysiology in providing an evidence-based empirical approach to problems of patients in primary care medicine, this text has a bio-psychosocial perspective. 606 $aMedicine, Psychosomatic$vHandbooks, manuals, etc 606 $aMind and body therapies$vHandbooks, manuals, etc 606 $aBiofeedback training$vHandbooks, manuals, etc 608 $aElectronic books. 615 0$aMedicine, Psychosomatic 615 0$aMind and body therapies 615 0$aBiofeedback training 676 $a616.08 701 $aMoss$b Donald$f1949-$0254606 801 0$bStDuBDS 801 1$bStDuBDS 906 $aBOOK 912 $a9910481028303321 996 $aHandbook of mind-body medicine for primary care$92470378 997 $aUNINA LEADER 03762nam 2200673 a 450 001 9910461633403321 005 20200520144314.0 010 $a1-283-35484-5 010 $a9786613354846 010 $a1-78052-385-8 024 7 $a10.1163/9781780523859 035 $a(CKB)2670000000131905 035 $a(EBL)823628 035 $a(OCoLC)769342564 035 $a(SSID)ssj0000613289 035 $a(PQKBManifestationID)11381536 035 $a(PQKBTitleCode)TC0000613289 035 $a(PQKBWorkID)10585000 035 $a(PQKB)11483085 035 $a(MiAaPQ)EBC823628 035 $a(OCoLC)769471830$z(OCoLC)839886257 035 $a(nllekb)BRILL9781780523859 035 $a(PPN)170267946 035 $a(Au-PeEL)EBL823628 035 $a(CaPaEBR)ebr10520745 035 $a(CaONFJC)MIL335484 035 $a(EXLCZ)992670000000131905 100 $a20120110d2011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aEnglish language and the medical profession$b[electronic resource] $einstructing and assessing the communication skills of international physicians /$fedited by Barbara J. Hoekje, Sara M. Tipton 205 $a1st ed. 210 $aBingley [England] $cEmerald Group Pub.$d2011 215 $a1 online resource (332 p.) 225 1 $aInnovation and leadership in English language teaching,$x2041-272X ;$vv. 5 300 $aDescription based upon print version of record. 311 $a1-78052-384-X 320 $aIncludes bibliographical references. 327 $apt. 1. Perspectives on communication and acculturation -- pt. 2. Qualifications and competencies -- pt. 3. Courses and curricula. 330 $aEnglish Language and the Medical Profession: Instructing and Assessing the Communication Skills of International Physicians is designed for a new context for English language teaching: the emerging, worldwide interest in English for medicine. The book offers a program for an English language curriculum that is specifically designed for the important and growing group of international medical professionals, with a focus on both instruction and assessment. International physicians in the United States now total more than 25 per cent of the physician workforce. Even subsequent to their passage of the clinical skills exam required for licensing and practice as physicians in U.S. hospitals, international physicians face communication challenges as first-year residents and may be referred to specialists for language and cultural issues. Advanced residents may face additional issues when they begin work as independent practitioners. This volume goes beyond existing texts in collecting the expertise of English language teaching and testing experts, medical residency supervisors, medical licensing, and exchange agencies in examining issues related to international physicians' performance as graduate students and doctors in hospitals and other settings. The contributors include specialists at the Educational Commission for Foreign Medical Graduates and doctors who supervise international medical residents as well as recognized ESP practitioners. 410 0$aInnovation and leadership in English language teaching ;$vv. 5. 606 $aCommunication in medicine 606 $aEnglish language 608 $aElectronic books. 615 0$aCommunication in medicine. 615 0$aEnglish language. 676 $a428.240715 701 $aHoekje$b Barbara J$0922693 701 $aTipton$b Sara M$0922694 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910461633403321 996 $aEnglish language and the medical profession$92070507 997 $aUNINA LEADER 04234oam 2200481 450 001 996464440103316 005 20210617143238.0 010 $a3-030-61943-5 024 7 $a10.1007/978-3-030-61943-5 035 $a(CKB)4100000011679197 035 $a(MiAaPQ)EBC6455888 035 $a(DE-He213)978-3-030-61943-5 035 $a(PPN)252515331 035 $a(EXLCZ)994100000011679197 100 $a20210617d2021 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProbabilistic graphical models $eprinciples and applications /$fLuis Enrique Sucar 205 $aSecond edition. 210 1$aCham, Switzerland :$cSpringer,$d[2021] 210 4$d©2021 215 $a1 online resource (XXVIII, 355 p. 167 illus., 144 illus. in color.) 225 1 $aAdvances in Computer Vision and Pattern Recognition 311 $a3-030-61942-7 327 $aIntroduction -- Probability Theory -- Graph Theory -- Bayesian Classifiers -- Hidden Markov Models -- Markov Random Fields -- Bayesian Networks: Representation and Inference -- Bayesian Networks: Learning -- Dynamic and Temporal Bayesian Networks -- Decision Graphs -- Markov Decision Processes -- Partially Observable Markov Decision Processes -- Relational Probabilistic Graphical Models -- Graphical Causal Models -- Causal Discovery -- Deep Learning and Graphical Models -- A Python Library for Inference and Learning -- Glossary -- Index. 330 $aThis fully updated new edition of a uniquely accessible textbook/reference provides a general introduction to probabilistic graphical models (PGMs) from an engineering perspective. It features new material on partially observable Markov decision processes, graphical models, and deep learning, as well as an even greater number of exercises. The book covers the fundamentals for each of the main classes of PGMs, including representation, inference and learning principles, and reviews real-world applications for each type of model. These applications are drawn from a broad range of disciplines, highlighting the many uses of Bayesian classifiers, hidden Markov models, Bayesian networks, dynamic and temporal Bayesian networks, Markov random fields, influence diagrams, and Markov decision processes. Topics and features: Presents a unified framework encompassing all of the main classes of PGMs Explores the fundamental aspects of representation, inference and learning for each technique Examines new material on partially observable Markov decision processes, and graphical models Includes a new chapter introducing deep neural networks and their relation with probabilistic graphical models Covers multidimensional Bayesian classifiers, relational graphical models, and causal models Provides substantial chapter-ending exercises, suggestions for further reading, and ideas for research or programming projects Describes classifiers such as Gaussian Naive Bayes, Circular Chain Classifiers, and Hierarchical Classifiers with Bayesian Networks Outlines the practical application of the different techniques Suggests possible course outlines for instructors This classroom-tested work is suitable as a textbook for an advanced undergraduate or a graduate course in probabilistic graphical models for students of computer science, engineering, and physics. Professionals wishing to apply probabilistic graphical models in their own field, or interested in the basis of these techniques, will also find the book to be an invaluable reference. Dr. Luis Enrique Sucar is a Senior Research Scientist at the National Institute for Astrophysics, Optics and Electronics (INAOE), Puebla, Mexico. 410 0$aAdvances in computer vision and pattern recognition. 606 $aUncertainty (Information theory) 606 $aGraphical modeling (Statistics) 615 0$aUncertainty (Information theory) 615 0$aGraphical modeling (Statistics) 676 $a003.54 700 $aSucar$b Luis Enrique$01060261 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bUtOrBLW 906 $aBOOK 912 $a996464440103316 996 $aProbabilistic Graphical Models$92512048 997 $aUNISA