1.

Record Nr.

UNINA9910789962303321

Autore

Butterworth Jo.

Titolo

Dance studies : the basics / / Jo Butterworth

Pubbl/distr/stampa

Abingdon, Oxon : , : Routledge, , 2012

ISBN

1-136-58406-4

0-203-15699-4

1-136-58407-2

Descrizione fisica

1 online resource (220 p.)

Collana

The basics

Classificazione

PER000000

Disciplina

792.7/8

Soggetti

Dance

Choreography

Dance - History

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

1. Training for dance -- 2. Making dances -- 3. Dance theatre history -- 4. Performing dances -- 5. Appreciating dance -- 6. Applied dance studies -- Conclusion: your first steps towards studying dance.

Sommario/riassunto

"Dance Studies: The Basics is a concise introduction to the study of dance ranging from the practical aspects such as technique and to more theoretical considerations such as aesthetic appreciation and the place of dance in different cultures. Including examples from dance forms such as ballet, jazz, tap, contemporary and urban, this book answers questions such as: Exactly how do we define 'dance'? What kinds of people dance and what kind of training is necessary? How are dances made? What do we know about dance history? Featuring a glossary, chronology of dance history and list of useful websites, this book is the ideal starting point for anyone interested in the study of dance"--



2.

Record Nr.

UNINA9910557346903321

Autore

Deschrijver Dirk

Titolo

Improving Energy Efficiency through Data-Driven Modeling, Simulation and Optimization

Pubbl/distr/stampa

Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021

Descrizione fisica

1 online resource (201 p.)

Soggetti

Technology: general issues

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Sommario/riassunto

In October 2014, the EU leaders agreed upon three key targets for the year 2030: a reduction by at least 40% in greenhouse gas emissions, savings of at least 27% for renewable energy, and improvements by at least 27% in energy efficiency. The increase in computational power combined with advanced modeling and simulation tools makes it possible to derive new technological solutions that can enhance the energy efficiency of systems and that can reduce the ecological footprint. This book compiles 10 novel research works from a Special Issue that was focused on data-driven approaches, machine learning, or artificial intelligence for the modeling, simulation, and optimization of energy systems.