1.

Record Nr.

UNINA9910130786103321

Titolo

La metodologia sei sigma nei servizi un'applicazione ai modelli di gestione finanziaria / / Cristiano Ciappei, Paolo Citti, Niccolò Bacci, Gianni Campatelli

Pubbl/distr/stampa

[Firenze] : , : Firenze University Press, , 2006

ISBN

8884534860

9788884534866

8884534852

9788884534859

Descrizione fisica

1 online resource (202 pages) : digital, PDF file(s)

Collana

Monografie Scienze Tecnologiche ; ; 16

Soggetti

Management

Business & Economics

Management Styles & Communication

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di bibliografia

Includes bibliographical references.



2.

Record Nr.

UNINA9910815247303321

Autore

Hamkins SuEllen

Titolo

The art of narrative psychiatry / / SuEllen Hamkins

Pubbl/distr/stampa

Oxford : , : Oxford University Press, , [2014]

©2014

ISBN

0-19-756336-8

0-19-998206-6

0-19-998205-8

Descrizione fisica

1 online resource (227 p.)

Collana

Oxford scholarship online

Disciplina

616.89/165

Soggetti

Narrative therapy

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Previously issued in print: 2013.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

What is narrative psychiatry? -- Connecting with compassion : the therapeutic relationship -- Starting with stories of success : the initial psychiatric consultation -- Externalizing and unpacking the problem : understanding symptoms and suffering -- Cultivating stories of strength and meaning and deconstructing damaging discourses : the course of treatment -- Collaborating in considering treatment options : medicine and other psychiatric resources -- Finding lost stories of love : remembering love and legacy amid loss -- Finding ones voice : recovering from trauma -- Finding happiness : rising from despair and turning away from anxiety.

Sommario/riassunto

'The Art of Narrative Psychiatry' provides a comprehensive description of narrative psychiatry in action. Engaging and accessible, it demonstrates how to help patients cultivate their personal sources of strength and meaning as resources for recovery.



3.

Record Nr.

UNINA9910865239003321

Autore

Amini M. Hadi

Titolo

Distributed Machine Learning and Computing : Theory and Applications / / edited by M. Hadi Amini

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024

ISBN

9783031575679

9783031575662

Edizione

[1st ed. 2024.]

Descrizione fisica

1 online resource (163 pages)

Collana

Big and Integrated Artificial Intelligence, , 2662-4141 ; ; 2

Disciplina

621,382

Soggetti

Telecommunication

Computational intelligence

Machine learning

Cooperating objects (Computer systems)

Communications Engineering, Networks

Computational Intelligence

Machine Learning

Cyber-Physical Systems

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Chapter 1. Distributed Machine Learning and Computing: An Overview -- Chapter 2. Distributed Multi-agent Meta Learning for Trajectory Design in Wireless Drone Networks -- Chapter 3. Heterogeneity Aware Distributed Machine Learning at the Wireless Edge for Health IoT Applications: An EEG Data Case Study -- Chapter 4. A Comprehensive Review of Artificial Intelligence and Machine Learning Methods for Modern Health-care Systems -- Chapter 5. Vertical Federated Learning: Principles, Applications, and Future Frontiers -- Chapter 6. Decentralization of Energy Systems with Blockchain: Bridging Top-down and Bottom-up Management of the Electricity Grid.-Chapter 7. Empowering Distributed Solutions in Renewable Energy Systems and Grid Optimization.

Sommario/riassunto

This book focuses on a wide range of distributed machine learning and computing algorithms and their applications in healthcare and



engineering systems. The contributors explore how these techniques can be applied to different real-world problems. It is suitable for students and researchers interested in conducting research in multidisciplinary areas that rely on distributed machine learning and computing techniques. Specifies the value of efficient theoretical methods in dealing with large-scale decision-making problems; Provides an investigation of distributed machine learning and optimization algorithms for large-scale networks; Includes basics and mathematical foundations needed to analyze and address the interdependent complex networks.