1.

Record Nr.

UNINA9910133326503321

Titolo

Annual report to Congress fiscal year ... pursuant to subsection (j) of Section 7A of the Clayton Act, Hart-Scott-Rodino Antitrust Improvements Act of 1976

Pubbl/distr/stampa

Federal Trade Commission, Bureau of Competition

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Periodico

2.

Record Nr.

UNINA9910457144403321

Autore

Giuliano Elise <1968->

Titolo

Constructing grievance [[electronic resource] ] : ethnic nationalism in Russia's republics / / Elise Giuliano

Pubbl/distr/stampa

Ithaca, : Cornell University Press, 2011

ISBN

0-8014-6120-0

0-8014-6072-7

Descrizione fisica

1 online resource (248 p.)

Disciplina

320.54089/00947

Soggetti

Minorities - Political activity - Russia (Federation)

Nationalism - Russia (Federation)

Self-determination, National - Russia (Federation)

Electronic books.

Russia (Federation) Ethnic relations

Russia (Federation) Politics and government 1991-

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

Ethnic entrepreneurs, ordinary people, and group grievance -- Variation in mass nationalism across Russia's republics -- Does structure matter? : local labor markets and social mobility -- Supporting national sovereignty in Tatarstan -- Nationalism in a



socialist company town : Tatars, Russians, and the Kamskii Automobile Works in Naberezhnye Chelny -- Ethnic entrepreneurs and the construction of group grievance : Tuva, Mari El, and Komi compared -- Secessionism from the bottom up : democratization, nationalism, and local accountability in Russia -- Lessons from Russia : a critical view of the relationship between ethnic elite claims and mass interests.

Sommario/riassunto

Demands for national independence among ethnic minorities around the world suggest the power of nationalism. Contemporary nationalist movements can quickly attract fervent followings, but they can just as rapidly lose support. In Constructing Grievance, Elise Giuliano asks why people with ethnic identities throw their support behind nationalism in some cases but remain quiescent in others. Popular support for nationalism, Giuliano contends, is often fleeting. It develops as part of the process of political mobilization-a process that itself transforms the meaning of ethnic identity. She compares sixteen ethnic republics of the Russian Federation, where nationalist mobilization varied widely during the early 1990's despite a common Soviet inheritance. Drawing on field research in the republic of Tatarstan, socioeconomic statistical data, and a comparative discourse analysis of local newspapers, Giuliano argues that people respond to nationalist leaders after developing a group grievance. Ethnic grievances, however, are not simply present or absent among a given population based on societal conditions. Instead, they develop out of the interaction between people's lived experiences and the specific messages that nationalist entrepreneurs put forward concerning ethnic group disadvantage. In Russia, Giuliano shows, ethnic grievances developed rapidly in certain republics in the late Soviet era when messages articulated by nationalist leaders about ethnic inequality in local labor markets resonated with people's experience of growing job insecurity in a contracting economy. In other republics, however, where nationalist leaders focused on articulating other issues, such as cultural and language problems facing the ethnic group, group grievances failed to develop, and popular support for nationalism stalled. People with ethnic identities, Giuliano concludes, do not form political interest groups primed to support ethnic politicians and movements for national secession.



3.

Record Nr.

UNINA9910367564103321

Autore

Jung Hyung-Sup

Titolo

Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing / Hyung-Sup Jung, Saro Lee

Pubbl/distr/stampa

MDPI - Multidisciplinary Digital Publishing Institute, 2019

Basel, Switzerland : , : MDPI, , 2019

ISBN

9783039212163

3039212168

Descrizione fisica

1 electronic resource (438 p.)

Soggetti

Pharmaceutical chemistry and technology

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Sommario/riassunto

As computer and space technologies have been developed, geoscience information systems (GIS) and remote sensing (RS) technologies, which deal with the geospatial information, have been rapidly maturing. Moreover, over the last few decades, machine learning techniques including artificial neural network (ANN), deep learning, decision tree, and support vector machine (SVM) have been successfully applied to geospatial science and engineering research fields. The machine learning techniques have been widely applied to GIS and RS research fields and have recently produced valuable results in the areas of geoscience, environment, natural hazards, and natural resources. This book is a collection representing novel contributions detailing machine learning techniques as applied to geoscience information systems and remote sensing.