1.

Record Nr.

UNINA9910464491003321

Autore

Rich Michael J.

Titolo

Collaborative governance for urban revitalization : lessons from empowerment zones / / Michael J. Rich and Robert P. Stoker

Pubbl/distr/stampa

Ithaca, New York : , : Cornell University Press, , 2014

©2014

ISBN

0-8014-7090-0

1-336-20809-0

0-8014-7091-9

Descrizione fisica

1 online resource (297 p.)

Disciplina

307.3/4160973

Soggetti

Enterprise zones - United States

Urban renewal - Government policy - United States

Urban renewal - Georgia - Atlanta

Urban renewal - Maryland - Baltimore

Electronic books.

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

Front matter -- Contents -- Preface -- Introduction -- 1. Federal Aid and the Cities -- 2. Good Governance -- 3. Revitalization Strategies and Programs -- 4. Local Governance Structures and Processes -- 5. What Happened in EZ Neighborhoods? -- 6. Atlanta's Empowerment Zone -- 7. Baltimore's Empowerment Zone -- 8. Explaining Revitalization Outcomes -- Conclusion -- Notes -- References -- Index

Sommario/riassunto

For more than one hundred years, governments have grappled with the complex problem of how to revitalize distressed urban areas. In 1995, the original urban Empowerment Zones (Atlanta, Baltimore, Chicago, Detroit, New York, and Philadelphia) each received a



2.

Record Nr.

UNINA9910677012803321

Titolo

Compression of biomedical images and signals / / edited by Amine Nait-Ali, Christine Cavaro-Menard

Pubbl/distr/stampa

London, : ISTE

Hoboken, NJ, : John Wiley & Sons, 2008

ISBN

9786612165030

9781282165038

1282165038

9780470611159

0470611154

9780470393789

0470393785

Edizione

[1st edition]

Descrizione fisica

1 online resource (330 p.)

Collana

ISTE ; ; v.31

Altri autori (Persone)

Naït-AliAmine

Cavaro-MénardChristine

Disciplina

616.07/50285

Soggetti

Diagnosis - Data processing

Data compression (Computer science)

Medical informatics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Includes bibliographical references and index.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Compression of Biomedical Images and Signals; Table of Contents; Preface; Chapter 1. Relevance of Biomedical Data Compression; 1.1. Introduction; 1.2. The management of digital data using PACS; 1.2.1. Usefulness of PACS; 1.2.2. The limitations of installing a PACS; 1.3. The increasing quantities of digital data; 1.3.1. An example from radiology; 1.3.2. An example from anatomic pathology; 1.3.3. An example from cardiology with ECG; 1.3.4. Increases in the number of explorative examinations; 1.4. Legal and practical matters; 1.5. The role of data compression; 1.6. Diagnostic quality

1.6.1. Evaluation1.6.2. Reticence; 1.7. Conclusion; 1.8. Bibliography; Chapter 2. State of the Art of Compression Methods; 2.1. Introduction; 2.2. Outline of a generic compression technique; 2.2.1. Reducing



redundancy; 2.2.2. Quantizing the decorrelated information; 2.2.3. Coding the quantized values; 2.2.4. Compression ratio, quality evaluation; 2.3. Compression of still images; 2.3.1. JPEG standard; 2.3.1.1. Why use DCT?; 2.3.1.2. Quantization; 2.3.1.3. Coding; 2.3.1.4. Compression of still color images with JPEG; 2.3.1.5. JPEG standard: conclusion; 2.3.2. JPEG 2000 standard

2.3.2.1. Wavelet transform2.3.2.2. Decomposition of images with the wavelet transform; 2.3.2.3. Quantization and coding of subbands; 2.3.2.4. Wavelet-based compression methods, serving as references; 2.3.2.5. JPEG 2000 standard; 2.4. The compression of image sequences; 2.4.1. DCT-based video compression scheme; 2.4.2. A history of and comparison between video standards; 2.4.3. Recent developments in video compression; 2.5. Compressing 1D signals; 2.6. The compression of 3D objects; 2.7. Conclusion and future developments; 2.8. Bibliography

Chapter 3. Specificities of Physiological Signals and Medical Images3.1. Introduction; 3.2. Characteristics of physiological signals; 3.2.1. Main physiological signals; 3.2.1.1. Electroencephalogram (EEG); 3.2.1.2. Evoked potential (EP); 3.2.1.3. Electromyogram (EMG); 3.2.1.4. Electrocardiogram (ECG); 3.2.2. Physiological signal acquisition; 3.2.3. Properties of physiological signals; 3.2.3.1. Properties of EEG signals; 3.2.3.2. Properties of ECG signals; 3.3. Specificities of medical images; 3.3.1. The different features of medical imaging formation processes; 3.3.1.1. Radiology

3.3.1.2. Magnetic resonance imaging (MRI)3.3.1.3. Ultrasound; 3.3.1.4. Nuclear medicine; 3.3.1.5. Anatomopathological imaging; 3.3.1.6. Conclusion; 3.3.2. Properties of medical images; 3.3.2.1. The size of images; 3.3.2.2. Spatial and temporal resolution; 3.3.2.3. Noise in medical images; 3.4. Conclusion; 3.5. Bibliography; Chapter 4. Standards in Medical Image Compression; 4.1. Introduction; 4.2. Standards for communicating medical data; 4.2.1. Who creates the standards, and how?; 4.2.2. Standards in the healthcare sector; 4.2.2.1. Technical committee 251 of CEN

4.2.2.2. Technical committee 215 of the ISO

Sommario/riassunto

During the last decade, image and signal compression for storage and transmission purpose has seen a great expansion. But what about medical data compression? Should a medical image or a physiological signal be processed and compressed like any other data? The progress made in imaging systems, storing systems and telemedicine makes compression in this field particularly interesting. However, this compression has to be adapted to the specificities of biomedical data which contain diagnosis information.As such, this book offers an overview of compression techniques applied to medical data, i