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1. |
Record Nr. |
UNINA9910300230903321 |
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Titolo |
Pancreatic Cystic Neoplasms : From Imaging to Differential Diagnosis and Management / / edited by George H. Sakorafas, Vassileios Smyrniotis, Michael G. Sarr |
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Pubbl/distr/stampa |
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Milano : , : Springer Milan : , : Imprint : Springer, , 2015 |
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ISBN |
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Edizione |
[1st ed. 2015.] |
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Descrizione fisica |
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1 online resource (84 p.) |
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Disciplina |
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610 |
616.0757 |
616.33 |
616994 |
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Soggetti |
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Surgery |
Oncology |
Radiology |
Gastroenterology |
Oncology |
Imaging / Radiology |
Gastroenterology |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters. |
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Nota di contenuto |
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Introduction -- Classification -- Serous cystic neoplasms -- Mucinous cystic neoplasms -- Intraductal Papillary Mucinous Neoplasms -- Rare cystic neoplasms -- Diagnostic evaluation -- Imaging -- Cross sectional Imaging -- US, CT, MRI -- Endoscopic ultrasonography -- ERCP / MRCP -- Intraductal ultrasonography / ductoscopy -- FNA and analysis of the cystic fluid -- Cytology -- Biochemical analysis -- Treatment -- Indications for surgery -- Surgical treatment -- Adjuvant therapy -- Follow-up -- Prognosis. |
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Sommario/riassunto |
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This book provides a thorough overview of the detection of PCNs using modern imaging techniques and a clear guide to the recognition of the different subtypes of PCN based on their radiologic and histopathologic features. This volume will serve as an excellent aid to the selection of |
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optimal therapeutic strategies based on preoperative diagnosis. A further important feature is the emphasis placed on radiologic, clinical, and surgical correlations. Pancreatic cystic neoplasms (PCNs) have been increasingly recognized during the past decade, mainly because of the widespread use of modern imaging modalities for the investigation of often unrelated abdominal symptoms. The three most common subtypes of PCN are serous cystic neoplasms, mucinous cystic neoplasms, and intraductal papillary mucinous neoplasms. These subtypes have distinct radiologic and histopathological features, and their biological behavior differs greatly. Accurate preoperative diagnosis is of prime importance in selecting the optimal therapeutic strategy: while serous cystic neoplasms are almost always benign, and may be treated conservatively, mucinous cystic neoplasms and intraductal papillary mucinous neoplasms have malignant potential, warranting an aggressive surgical approach, i.e., pancreatectomy. Pancreatic Cystic Neoplasms will be of great interest to surgeons, gastroenterologists, radiologists, oncologists, and pathologists, and also to internists and residents in these specialties. |
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2. |
Record Nr. |
UNICAMPANIAVAN00124300 |
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Autore |
Joyner, W. David |
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Titolo |
Adventures in Graph Theory / W. David Joyner, Caroline Grant Melles |
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Pubbl/distr/stampa |
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Titolo uniforme |
Adventures in Graph Theory |
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Descrizione fisica |
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xxvi, 327 p. : ill. ; 24 cm |
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Altri autori (Persone) |
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Soggetti |
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05C10 - Planar graphs; geometric and topological aspects of graph theory [MSC 2020] |
05C25 - Graphs and abstract algebra (groups, rings, fields, etc.) [MSC 2020] |
57M15 - Relations of low-dimensional topology with graph theory [MSC 2020] |
94C15 - Applications of graph theory to circuits and networks [MSC 2020] |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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3. |
Record Nr. |
UNINA9910367244003321 |
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Autore |
Bonesso Sara |
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Titolo |
Behavioral Competencies of Digital Professionals : Understanding the Role of Emotional Intelligence / / by Sara Bonesso, Elena Bruni, Fabrizio Gerli |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Palgrave Pivot, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (125 pages) : illustrations |
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Disciplina |
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Soggetti |
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Management |
Big data |
Electronic commerce |
Office management |
Organization |
Planning |
Big Data/Analytics |
e-Business/e-Commerce |
Office Management |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Chapter 1. Big data analytics professionals: emerging trends and job profiles -- Chapter 2. When hard skills are not enough: The role of behavioural competencies in business analytics professions -- Chapter 3. The competency profile of data scientists and business analysts -- Chapter 4. Managing business analytics professions through a competency-based approach. . |
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Sommario/riassunto |
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‘I encounter many data scientists and analysts whose sole focus is solving analytical problems and developing accurate models. They all need to read this excellent book and adopt its recommendations!’. — Thomas H. Davenport, Distinguished Professor, Babson College, Research Fellow, MIT Initiative on the Digital Economy ‘This book provides a compelling, credible and sound narrative to de-code |
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complexity by developing a set of competencies (action, social, awareness, cognitive, exploration and organizational) supported by emotional intelligence. A must read for Leaders and HR practitioners, for the intellectual curious eager to understand that Human Beings will have to remain central to Human Development’. —Paolo Gallo, Former CHRO at World Economic Forum, World Bank and European Bank Shedding new light on the human side of big data through the lenses of emotional and social intelligence competencies, this book advances the understanding of the requirements of the different professions that deal with big data. It also illustrates the empirical evidence collected through the application of the competency-based methodology to a sample of data scientists and data analysts, the two most in-demand big data jobs in the labor market. The book provides recommendations for the higher education system to offer better designed curricula for entry-level big data professions. It also offers managerial insights in describing how organizations and specifically HR practitioners can benefit from the competency-based approach to overcome the skill shortage that characterizes the demand for big data professional roles and to increase the effectiveness of the selection and recruiting processes. Sara Bonesso is associate professor of Business Organization and Human Resources Management at the Ca’ Foscari University of Venice. She is also one of the founders and the Vice-Director of the Ca' Foscari Competency Centre. Elena Bruni is a post-doc researcher at the Department of Management, Ca’ Foscari University of Venice. Fabrizio Gerli is Associate Professor of Business Organization and Human Resources Management at Ca’ Foscari University of Venice. He is also one of the founders and the Director of the Ca' Foscari Competency Centre. |
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