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[null,"1.","Record Nr.",null,"UNINA9910459096203321"]
[null,null,"Titolo",null,"Cancer symptom science : measurement, mechanisms, and management / / edited by Charles S. Cleeland, Michael J. Fisch [and] Adrian Dunn [[electronic resource]]"]
[null,null,"Pubbl/distr/stampa",null,"Cambridge : , : Cambridge University Press, , 2011"]
[null,null,"ISBN",null,"1-107-21867-5"]
[{"$nulls":4},"0-511-85175-8"]
[{"$nulls":4},"1-282-91852-4"]
[{"$nulls":4},"9786612918520"]
[{"$nulls":4},"0-511-91806-2"]
[{"$nulls":4},"0-511-78086-9"]
[{"$nulls":4},"0-511-91527-6"]
[{"$nulls":4},"0-511-91904-2"]
[{"$nulls":4},"0-511-91348-6"]
[{"$nulls":4},"0-511-91708-2"]
[null,null,"Descrizione fisica",null,"1 online resource (xvii, 356 pages) : digital, PDF file(s)"]
[null,null,"Collana",null,"Cambridge medicine Cancer symptom science"]
[null,null,"Disciplina",null,"616.99/4071"]
[null,null,"Soggetti",null,"Cancer - Pathophysiology"]
[{"$nulls":4},"Symptoms"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Title from publisher's bibliographic system (viewed on 05 Oct 2015)."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"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: "]
[{"$nulls":4},"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. Cleeland; 18. Functional imaging of symptoms T. Dorina Papageorgiou, Edward F. Jackson and Javier O. Valenzuela; 19. High-dose therapy and posttransplantation symptom burden: striking a balance Sergio A. Giralt and Loretta A. Williams; Part III. Clinical Perspectives in Symptom Management and Research: 20. Promoting symptom research in cooperative groups Lynne I. Wagner and David Cella; 21. Practical aspects of symptom management in patients with cancer Richard T. Lee and Michael J. Fisch; Part IV. Symptom Measurement: 22. Symptom measurement by patient report Charles S. Cleeland and Tito R. Mendoza; 23. The economics of cancer-related symptoms: valuing supportive care interventions Lesley-Ann Miller and Jane C. Weeks; 24. Longitudinal models for symptoms Diane L. Fairclough; 25. Bayesian adaptive design: a new approach to test the effectiveness of symptom-reducing agents using patient-reported outcomes Valen E. Johnson and Tito R. Mendoza; Part V. Government and Industry Perspectives: 26. Promoting cancer symptom science research Ann O'Mara and Maria Sgambati; 27. Developing symptom management drugs Joanna M. Brell and Lori M. Minasian; 28. Cancer-related symptoms: issues for consideration in drug and therapeutic biological product label claims in the United States Jane A. Scott; 29. Symptom research: looking ahead Charles S. Cleeland, Adrian J. Dunn and Michael J. Fisch; Index."]
[null,null,null,"Sommario/riassunto","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."]
[null,"2.","Record Nr.",null,"UNISA996558567203316"]
[null,null,"Autore",null,"Zhao Xiang"]
[null,null,"Titolo",null,"Entity Alignment [[electronic resource] ] : Concepts, Recent Advances and Novel Approaches / / by Xiang Zhao, Weixin Zeng, Jiuyang Tang"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023"]
[null,null,"ISBN",null,"981-9942-50-0"]
[null,null,"Edizione",null,"[1st ed. 2023.]"]
[null,null,"Descrizione fisica",null,"1 online resource (252 pages)"]
[null,null,"Collana",null,"Big Data Management, , 2522-0187."]
[null,null,"Disciplina",null,"006.33"]
[null,null,"Soggetti",null,"Expert systems (Computer science)"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Artificial intelligence - Data processing"]
[{"$nulls":4},"Knowledge Based Systems"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[{"$nulls":4},"Data Science"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Chapter 1. Introduction to Entity Alignment  -- Chapter 2. State-of-the-art Approaches and Categorization -- Chapter 3. Recent Advance in Representation Learning -- Chapter 4. Recent Advance in Alignment Inference -- Chapter 5. Experimental Survey and Evaluation -- Chapter 6. Large-scale Entity Alignment -- Chapter 7. Long-tail Entity Alignment -- Chapter 8. Weakly-supervised Entity Alignment -- Chapter 9. Unsupervised Entity Alignment -- Chapter 10. Multimodal Entity Alignment."]
[null,null,null,"Sommario/riassunto","This open access book systematically investigates, the topic of entity alignment, which aims to detect equivalent entities that are located in different knowledge graphs. Entity alignment represents an essential step in enhancing the quality of knowledge graphs, and hence is of significance to downstream applications, e.g., question answering and recommender systems. Recent years have witnessed a rapid increase in the number of entity alignment frameworks, while the relationships among them remain unclear. This book aims to fill that gap by elaborating the concept and categorization of entity alignment, reviewing recent advances in entity alignment approaches, and introducing novel scenarios and corresponding solutions. Specifically, the book includes comprehensive evaluations and detailed analyses of state-of-the-art entity alignment approaches and strives to provide a "]
[{"$nulls":4},"clear picture of the strengths and weaknesses of the currently available solutions, so as to inspire follow-up research. In addition, it identifies novel entity alignment scenarios and explores the issues of large-scale data, long-tail knowledge, scarce supervision signals, lack of labelled data, and multimodal knowledge, offering potential directions for future research. The book offers a valuable reference guide for junior researchers, covering the latest advances in entity alignment, and a valuable asset for senior researchers, sharing novel entity alignment scenarios and their solutions. Accordingly, it will appeal to a broad audience in the fields of knowledge bases, database management, artificial intelligence and big data."]