1.

Record Nr.

UNINA9910798361703321

Titolo

Friends, lovers, co-workers, and community : everything I know about relationships I learned from television / / edited by Kathleen M. Ryan [and three others]

Pubbl/distr/stampa

Lanham, Maryland : , : Lexington Books, , 2016

℗2016

ISBN

1-4985-1296-8

Descrizione fisica

1 online resource (264 p.)

Collana

Lexington Studies in Communication and Storytelling

Disciplina

302

Soggetti

Interpersonal relations

Television broadcasting - Social aspects

Television programs - Influence

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Contents; Acknowledgments; Introduction; Section 1: Big Love; Chapter One: All I Want for Christmas is You; Chapter Two: "HBIC"; Chapter Three: "There's an app for that"; Section 2: Modern Family; Chapter Four: "The Man Inside Me"; Chapter Five: Fatherhood, Fidelity, and Friendship; Chapter Six: "The Suitcase" and "The Strategy"; Section 3: Homeland; Chapter Seven: The Primetime Drama and the Centrality of Hegemonic Masculinity in Rape Narratives; Chapter Eight: A Rhetorical Vision of Tolerance; Section 4: Community; Chapter Nine: Television, Sports, and Twitter

Chapter Ten: Something to Look Forward ToChapter Eleven: Kickstarting Veronica Mars; Bibliography; Index; About the Contributors and Editors

Sommario/riassunto

Friends, Lovers, Co-Workers, and Community analyzes both how complex, interpersonal relationships were both depicted in and were influenced by television programs in the first decade of the twenty-first century.



2.

Record Nr.

UNINA9910484970503321

Autore

Pan Binbin

Titolo

Multidisciplinary Design Optimization and Its Application in Deep Manned Submersible Design / / by Binbin Pan, Weicheng Cui

Pubbl/distr/stampa

Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020

ISBN

981-15-6455-8

Edizione

[1st ed. 2020.]

Descrizione fisica

1 online resource (302 pages)

Collana

Ocean Engineering & Oceanography, , 2194-6396 ; ; 13

Disciplina

620.4162

Soggetti

Ocean engineering

Statistics

Mathematical optimization

Oceanography

Quality control

Reliability

Industrial safety

Offshore Engineering

Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences

Optimization

Quality Control, Reliability, Safety and Risk

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Introduction -- Theory of Multidisciplinary Design Optimization,- Theory of Uncertainty  -- Reliability and Its Analysis -- Multidisciplinary Design Optimization Based on Reliability -- Design of Deep Manned Submersible -- Application of Multidisciplinary Design Optimization in DMS. .

Sommario/riassunto

This book investigates Reliability-based Multidisciplinary Design Optimization (RBMDO) theory and its application in the design of deep manned submersibles (DMSs). Multidisciplinary Design Optimization (MDO) is an effective design method for large engineering systems like aircraft, warships, and satellites, which require designers and engineers from various disciplines to cooperate with each other. MDO can be



used to handle the conflicts that arise between these disciplines, and focuses on the optimal design of the system as a whole. However, it can also push designs to the brink of failure. In order to keep the system balanced, Reliability-based Design (RBD) must be incorporated into MDO. Consequently, new algorithms and methods have to be developed for RBMDO theory. This book provides an essential overview of MDO, RBD, and RBMDO and subsequently introduces key algorithms and methods by means of case analyses. In closing, it introduces readers to the design of DMSs and applies RBMDO methods to the design of the manned hull and the general concept design. The book is intended for all students and researchers who are interested in system design theory, and for engineers working on large, complex engineering systems.