1.

Record Nr.

UNINA9910456264203321

Titolo

Daniel's knee injuries : ligament and cartilage : structure, function, injury, and repair / / Robert A. Pedowitz, John J. O'Connor, Wayne H. Akeson ; editors

Pubbl/distr/stampa

Philadelphia, Pennsylvania : , : Lippincott Williams & Wilkins, , 2003

©2003

ISBN

1-4698-7797-X

Edizione

[Second edition.]

Descrizione fisica

1 online resource (650 p.)

Altri autori (Persone)

PedowitzRobert A

O'ConnorJohn J

AkesonWayne H. <1928->

Disciplina

607.5/82044

Soggetti

Knee - Wounds and injuries

Ligaments - Wounds and injuries

Cartilage - Wounds and injuries

Knee - Wounds and injuries - Patients - Rehabilitation

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

""Daniel�s Knee Injuries Ligament and Cartilage Structure,Function, Injury, and Repair""; ""Contents""; ""Contributing Authors""; ""Preface""; ""SECTION I Structure""; ""Anatomy""; ""The Knee as a Biologic Transmission""; ""Ligament Biochemistry and Physiology""; ""Effects of Anatomic and Developmental Variation on Evaluation and Treatment of Knee Conditions""; ""SECTION II Function""; ""Mobility of the Knee""; ""Ligament Cutting Studies""; ""Ligament Mechanics""; ""Articular Cartilage and Its Exacting Characteristics""; ""Joint Mechanoreceptors and Knee Function""

""Stability of the Knee""""Ligament Injury and Repair""; ""Cell Adhesion and the Signaling Biology of Ligament Healing""; ""Arthrofibrosis""; ""Cartilage Therapies""; ""Meniscus Injury and Repair""; ""Experimental Design and Statistical Analysis""; ""In Vivo Measurement of Anterior Cruciate Ligament and Anterior Cruciate Ligament Graft Strain""; ""SECTION III Injury and Repair: Clinical""; ""Epidemiology of Knee



Ligament Injuries""; ""Diagnosis of Ligament Injury""; ""The Anterior Cruciate Ligament�Deficient Knee""; ""Principles of Surgery""

""Rehabilitation after Anterior Cruciate Ligament Reconstruction""""Treatment of Specific Injuries""; ""Clinical Outcome Studies for Knee Ligament Injuries""; ""Outcomes Following Anterior Cruciate Ligament Surgery""; ""IV Special Clinical Issues""; ""Surgical Decisions and Treatment Alternatives""; ""Ligament Injuries in Children and Adolescents""; ""Complications of Knee Ligament Surgery""; ""Subject Index""

2.

Record Nr.

UNINA9911018747503321

Autore

Trajdos Paweł

Titolo

Progress in Pattern Classification and Machine Learning : Proceedings of the 14th International Conference on Computer Recognition Systems 2025 / / edited by Paweł Trajdos, Robert Burduk

Pubbl/distr/stampa

Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025

ISBN

9783032017734

Edizione

[1st ed. 2025.]

Descrizione fisica

1 online resource (173 pages)

Collana

Lecture Notes in Networks and Systems, , 2367-3389 ; ; 1557

Altri autori (Persone)

BurdukRobert

Disciplina

006.3

Soggetti

Computational intelligence

Artificial intelligence

Pattern recognition systems

Signal processing

Computer vision

Computational Intelligence

Artificial Intelligence

Automated Pattern Recognition

Digital and Analog Signal Processing

Computer Vision

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

-- Suggested Future Trends in Computer-Aided Recognition Methods and Problems -- Formal foundations of vague language transduction for syntactic pattern recognition -- A Target-Oriented Image Fusion



Method for Quality Inspection of Heat-Sealed Packages -- Cascade of one-class classifier ensemble and dynamic naive Bayes classifier applied to the myoelectric-based upper limb prosthesis control with contaminated channels detection, etc.

Sommario/riassunto

This book highlights recent research on computer recognition systems, one of the most promising directions in artificial intelligence. Offering the comprehensive study on this field to date, it gathers 11 carefully selected articles contributed by experts on pattern recognition. The accepted papers address current computer science and computer systems related technological challenges and solutions, as well as many practical applications areas of pattern recognition and machine learning results. Presenting recent research on methodology and applications, the book offers a valuable reference tool for scientists whose work involves designing computer pattern recognition systems. Its target audience also includes researchers and students in computer science and artificial intelligence. We believe that this book will be also interesting for practitioners in many fields of computer science and IT applications.