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1. |
Record Nr. |
UNINA9910957697603321 |
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Autore |
Stadler William Andrew <1978-> |
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Titolo |
Special sensitivity? : the white-collar offender in prison / / William A. Stadler |
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Pubbl/distr/stampa |
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El Paso, AR, : LFB Scholarly Pub., 2012 |
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ISBN |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (183 p.) |
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Collana |
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Criminal Justice: Recent Scholarship |
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Disciplina |
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Soggetti |
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White collar crimes - United States |
Sentences (Criminal procedure) - United States |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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CONTENTS; List of Tables; Chapter 1: The White-Collar Crime Problem; Chapter 2: Understanding White-Collar Crime; Chapter 3: Exploring the Special Sensitivity Hypothesis; Chapter 4: The White-Collar Inmate Experience; Chapter 5: Questioning the Special Sensitivity Hypothesis; Chapter 6: The Future of White-Collar Offender Sentencing; Bibliography; Index |
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Sommario/riassunto |
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Despite recent increases in incarceration for white-collar offenders, little is known about their prison experiences or how they adjust to imprisonment. In the justice system a view has prevailed that white-collar offenders have a "special sensitivity" to imprisonment-that they are more susceptible to the pains of prison. Stadler explores this view to determine how white-collar inmates adjust to life in prison and whether they do so differently than street offenders. Evidence suggests that white-collar inmates are no more likely to experience negative prison adjustment than street offenders, a |
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2. |
Record Nr. |
UNINA9910553099303321 |
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Titolo |
Applications of Computational Intelligence : 4th IEEE Colombian Conference, ColCACI 2021, Virtual Event, May 27–28, 2021, Revised Selected Papers / / edited by Alvaro David Orjuela-Cañón, Jesus A. Lopez, Julián David Arias-Londoño, Juan Carlos Figueroa-García |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
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ISBN |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (115 pages) |
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Collana |
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Communications in Computer and Information Science, , 1865-0937 ; ; 1471 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Computer engineering |
Computer networks |
Computer systems |
Education - Data processing |
Social sciences - Data processing |
Artificial Intelligence |
Computer Engineering and Networks |
Computer Communication Networks |
Computer System Implementation |
Computers and Education |
Computer Application in Social and Behavioral Sciences |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Biomedical Applications -- Anemia Detection using a Full Embedded Mobile Application with YOLO Algorithm -- On the Use of Convolutional Neural Network Architectures for Facial Emotion Recognition -- Automated Preprocessing Pipeline in Visual Imagery Tasks -- Multilabel and Multiclass Approaches Comparison for Respiratory Sounds Classification -- Alternative Proposals and its Applications. - Weighted Hausdor Distance Loss as a Function of Different Metrics in Convolutional Neural Networks for Ladybird Beetle |
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Detection -- Non-linear PCA for Feature Extraction in Extreme Precipitation Events using Remote Sensing Information. |
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Sommario/riassunto |
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This book constitutes revised and extended selected papers of the 4th IEEE Colombian Conference, ColCACI 2021, which was held virtually in Colombia at the end of May 2021. The 7 full papers presented in the volume were carefully reviewed and selected from 22 submissions. The papers are organized in topical sections on biomedical applications and alternative proposals and its applications. |
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