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  • 1
    Keywords: Medicine ; Internal Medicine ; Nursing ; Pain Medicine ; Quality of Life ; Quality of Life / Research ; Medicine & Public Health ; Internal Medicine ; Pain Medicine ; Health Promotion and Disease Prevention ; Quality of Life Research ; Nursing ; Springer eBooks
    Pages: : digital
    ISBN: 9781607615903
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  • 2
    Call number: QZ200:534
    Keywords: Cancer / Pathophysiology ; Symptoms
    Description / Table of Contents: Machine generated contents note: Preface; Foreword; Part I. Introduction: 1. Introduction to Cancer Symptom Science Charles S. Cleeland, Adrian J. Dunn and Michael J. Fisch; 2. Researching the mechanisms underlying the symptoms of patients with cancer Adrian J. Dunn; 3. Cytokines, sickness behavior: a model for cancer symptoms Steven S. Zalcman, Randall T. Woodruff, Ruchika Mohla and Allan Siegal; Part II. Cancer Symptom Mechanisms and Models: Clinical and Basic Science: 4. The clinical science of cancer pain assessment and management Russell K. Portenoy and Victor T. Chang; 5. Pain: basic science: 5a. Mechanisms of disease-related pain in cancer: insights from the study of bone tumors Patrick W. Mantyh and Juan Miguel Jimenez Andrade; 5b. Neuropathic pain: basic science Patrick M. Dougherty and Haijun Zhang; 6. Cognitive dysfunction: is chemobrain real? Christina A. Meyers and Jeffrey S. Wefel; 7. Cognitive impairment: basic science Perry N. Fuchs, Jessica A. Boyette-Davis and Adrian J. Dunn; 8. Depression in cancer: pathophysiology at the mind-body interface Andrew H. Miller, Michael A. Burke and Charles L. Raison; 9. Depressive illness: basic science: 9a. Animal models of depressed mood and sickness behavior Adrian J. Dunn; 9b. From inflammation to sickness and depression: the cytokine connection Robert Dantzer and Keith W. Kelly; 10. Cancer-related fatigue: clinical science Xin Shelley Wang; 11. Developing translational animal models of cancer-related fatigue Mary W. Meagher; 12. Cancer anorexia/weight loss syndrome Aminah Jatoi and Nisha Lassi; 13. Appetite loss/cachexia: basic science Tristin D. Brisbois-Clarkson, Wendy V. Wismer and Vickie E. Baracos; 14. Sleep and its disorders: clinical science Sofia Ancoli-Israel and Lianqi Liu; 15. Sleep and its disorders Mark R. Opp and Luca Imeri; 16. Proteins and symptoms Bang-Ning Lee and James M. Reuben; 17. Genetic approaches to treating and preventing symptoms in patients with cancer Quiling Shi and Charles S
    Abstract: "Cancer Symptom Science is the first interdisciplinary compilation of research on the mechanisms underlying the expression of cancer-related symptoms. It presents innovations in clinical, animal and in vitro research, research methods in brain imaging, and statistical-descriptive approaches to understanding the mechanistic basis of symptom expression. This volume also provides perspectives from patients, government and industry. By collecting and synthesizing the developing threads of new approaches to understanding cancer-related symptoms, the book promotes a pioneering framework for merging behavioral and biological disciplines to clarify mechanisms of symptom evolution, incorporating new technologies, testing novel agents for symptom control, and improving patient functioning and quality of life both during and after cancer treatment. With an expert editorial team led by Charles S. Cleeland, an internationally-recognized leader in cancer pain assessment and treatment, this is essential reading for surgical, clinical and medical oncologists, academic researchers, and pharmaceutical companies developing new agents to control symptom expression"--
    Pages: xvii, 356 p. : ill.
    ISBN: 9780521869010
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    QZ200:534 available
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  • 3
    Electronic Resource
    Electronic Resource
    College Park, Md. : American Institute of Physics (AIP)
    The Journal of Chemical Physics 100 (1994), S. 7429-7442 
    ISSN: 1089-7690
    Source: AIP Digital Archive
    Topics: Physics , Chemistry and Pharmacology
    Notes: We report an implementation of analytic second derivatives with respect to nuclear displacement of the Kohn–Sham energy for gradient-corrected functionals. The second derivative equations are given in a form well-suited for computer implementation, and the exchange-correlation contributions are discussed in detail. The algorithms presented have favorable asymptotic exchange-correlation cost scaling requirements relative to other aspects of the calculation. The results obtained show that analytic calculation of Kohn–Sham second derivatives is indeed a viable technique in practice.
    Type of Medium: Electronic Resource
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