1.

Record Nr.

UNINA9910529808903321

Autore

Salans Molly

Titolo

Storytelling with children in crisis [[electronic resource] ] : take just one star : how impoverished children heal through stories / / Molly Salans

Pubbl/distr/stampa

London ; ; New York, : Jessica Kingsley, 2004

ISBN

1-280-26209-5

9786610262090

1-4237-1035-5

1-84642-058-X

Descrizione fisica

1 online resource (238 p.)

Disciplina

618.92/89165

Soggetti

Child psychotherapy

Narrative therapy

Storytelling - Psychological aspects

Electronic books.

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

Cover; Storytelling with Children; Contents; Acknowledgements; Introduction; Part One: Lady Ragnell; 1 Moonless Night; 2 A Moon Sliver; 3 A Half Moon; 4 A Full Moon; 5 Venus; Part Two Anthony and the Magic Cake; 6 Shooting Stars; 7 Too Exhausted to Make a Wish; 8 Light Years Away; 9 The Blue Moon; Part Three: The Creation Story; 10 Fossilized Stars; 11 Mars; 12 Exploring New Constellations; Part Four: The Butterfly; 13 The Lone Stars; 14 Loss of Gravity; 15 Northern Lights; References; Index;

Sommario/riassunto

Molly Salans has been a storyteller for many years, visiting children in deprived areas who have depression, ADHD and behavioral problems caused by poverty, absent fathers, depressed mothers, run-down schools and violence. Describing her therapy sessions as they happened, Molly Salans puts the children in the context of their lives and recounts her sessions, the folk and fairy stories she told and the ones they developed themselves. In doing so, she shows how storytelling and listening, thinking about characters in the stories and talking about alternative endings inspires the imagination, com



2.

Record Nr.

UNISALENTO991003623959707536

Autore

Dittmar, Norbert

Titolo

Manuale di sociolinguistica / Norbert Dittmar

Pubbl/distr/stampa

Roma ; Bari : Laterza, 1978

Descrizione fisica

XV, 451 p. ; 21 cm.

Collana

Biblioteca di cultura moderna ; 810

Altri autori (Persone)

Graffi, Giorgio

Disciplina

401

Soggetti

Linguaggio - Sociologia

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Trad. G. Graffi

3.

Record Nr.

UNINA9910678251503321

Autore

Kaveh A (Ali), <1948->

Titolo

Structural Optimization Using Shuffled Shepherd Meta-Heuristic Algorithm : Extensions and Applications / / by Ali Kaveh, Ataollah Zaerreza

Pubbl/distr/stampa

Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023

ISBN

3-031-25573-9

Edizione

[1st ed. 2023.]

Descrizione fisica

1 online resource (288 pages)

Collana

Studies in Systems, Decision and Control, , 2198-4190 ; ; 463

Disciplina

519.6

624.17713

Soggetti

Civil engineering

Manufactures

Computational intelligence

Civil Engineering

Machines, Tools, Processes

Computational Intelligence

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa



Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

Introduction -- Shuffled shepherd optimization method: a new meta-heuristic algorithm -- Shuffled Shepherd Optimization Method Simplified for Reducing the Parameter Dependency -- An Enhanced Shuffled Shepherd Optimization Algorithm (ESSOA) -- A New Strategy Added to the SSAO for Structural Damage Detection -- Optimum Design of Curve Roof Frames by SSOA and Comparison with TLBO, ECBO, and WSA -- Optimum Design of Castellated Beams Using SSOA and Other Four Meta-Heuristic Algorithms -- An Improved PSO Using the SRM of the ESSOA for Optimum Design of the Frame Structures Using The Force Method -- An Efficient ESSOA for the Reliability Based Design Optimization Using the New Framework -- Reliability-Based Design Optimization of the Frame Structures Using the ESSOA and ERao.

Sommario/riassunto

This book presents the so-called Shuffled Shepherd Optimization Algorithm (SSOA), a recently developed meta-heuristic algorithm by authors. There is always limitations on the resources to be used in the construction. Some of the resources used in the buildings are also detrimental to the environment. For example, the cement utilized in making concrete emits carbon dioxide, which contributes to the global warming. Hence, the engineers should employ resources efficiently and avoid the waste. In the traditional optimal design methods, the number of trials and errors used by the designer is limited, so there is no guarantee that the optimal design can be found for structures. Hence, the deigning method should be changed, and the computational algorithms should be employed in the optimum design problems. The gradient-based method and meta-heuristic algorithms are the two different types of methods used to find the optimal solution. The gradient-based methods require gradientinformation. Also, these can easily be trapped in the local optima in the nonlinear and complex problems. Therefore, to overcome these issues, meta-heuristic algorithms are developed. These algorithms are simple and can get out of the local optimum by easy means. However, a single meta-heuristic algorithm cannot find the optimum results in all types of optimization problems. Thus, civil engineers develop different meta-heuristic algorithms for their optimization problems. Different applications of the SSOA are provided. The simplified and enhanced versions of the SSOA are also developed and efficiently applied to various optimization problems in structures. Another special feature of this book consists of the use of graph theoretical force method as analysis tool, in place of traditional displacement approach. This has reduced the computational time to a great extent, especially for those structures having smaller DSI compared to the DKI. New framework is also developed for reliability-based design of frame structures. The algorithms are clearly stated such that they can simply be implemented and utilized in practice and research.