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[null,"1.","Record Nr.",null,"UNINA9910131288103321"]
[null,null,"Titolo",null,"Circadian medicine / / edited by Christopher S. Colwell"]
[null,null,"Pubbl/distr/stampa",null,"Hoboken, New Jersey : , : Wiley Blackwell, , 2015"]
[{"$nulls":4},"©2015"]
[null,null,"ISBN",null,"1-118-46779-5"]
[{"$nulls":4},"1-118-46783-3"]
[{"$nulls":4},"1-118-46780-9"]
[null,null,"Descrizione fisica",null,"1 online resource (1144 p.)"]
[null,null,"Disciplina",null,"612/.022"]
[null,null,"Soggetti",null,"Circadian rhythms"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references at the end of each chapters and index."]
[null,null,"Nota di contenuto",null,"Cover; Table of Contents; Title page; List of Contributors; Preface; I: Fundamental Concepts; 1 Cytosolic and Transcriptional Cycles Underlying Circadian Oscillations; 1.1 Introduction; 1.2 Assembling the transcriptional feedback loop; 1.3 Keeping the transcriptional clockworks in tune; 1.4 Building posttranslational mechanisms into the circadian pacemaker; 1.5 Is the transcriptional clock paramount?; 1.6 Conclusion: cytoscillators, clocks and therapies; References; Acknowledgements; 2 Molecular Determinants of Human Circadian Clocks; 2.1 Molecular elements of human clocks: a brief review"]
[{"$nulls":4},"2.2 Peripheral and central clocks 2.3 Signaling to peripheral circadian clocks; 2.4 Human peripheral and central clocks; 2.5 Human genetics; 2.6 Technologies for measurement of human circadian clocks; 2.7 Cellular methods; 2.8 Omics-based methods to analyze human clocks; 2.9 Summary and outlook; References; 3 The Suprachiasmatic Nucleus (SCN): Critical Points; 3.1 SCN is site of master circadian pacemaker in mammals; 3.2 SCN receives photic information through a specialized light detection pathway; 3.3 SCN neurons are endogenous single cell oscillators that generate rhythms in neural activity"]
[{"$nulls":4},"3.4 The SCN has circuit level organization that is just beginning to be unraveled3.5 Coupling with the SCN circuit is mediated by a set of peptides with VIP on top of the hierarchy; 3.6 SCN outputs; 3.7 SCN in aging and disease; References; 4 Sleep and Circadian Rhythms: Reciprocal Partners in the Regulation of Physiology and Behavior; 4.1 "]
[{"$nulls":4},"Introduction; 4.2 What is sleep; 4.3 Circadian regulation of sleep; 4.4 Reciprocity: sleep-wake feedback to the circadian clock; 4.5 Conclusions: Circadian clocks and sleep are intertwined processes; References"]
[{"$nulls":4},"5 Circadian Regulation of Arousal and its Role in Fatigue5.1 Defining arousal; 5.2 Brain structures important for arousal; 5.3 Neurochemicals signaling the states of arousal; 5.4 Circadian regulation of the arousal system; 5.5 Influence of input pathways on circadian regulation of arousal; 5.6 Sustained states of fatigue: a disorder of the arousal network?; 5.7 Conclusions; References; II: Circadian Regulation of Major Physiological Systems; 6 Physiology of the Adrenal and Liver Circadian Clocks; 6.1 Introduction; 6.2 Circadian control of adrenal function"]
[{"$nulls":4},"6.3 Circadian control of liver function6.4 Conclusion; References; Acknowledgements; 7 Nutrition and Diet as Potent Regulators of the Liver Clock; 7.1 Introduction; 7.2 Food is a \"zeitgeber\": The FEO in the brain; 7.3 The FEO in peripheral tissues; 7.4 What should we eat? What types of food can stimulate the peripheral clock?; 7.5 When should we eat? Application to human life science; 7.6 Circadian rhythm and obesity and diabetes; References; 8 The Cardiovascular Clock; 8.1 Introduction; 8.2 The vascular clock; 8.3 Circadian clock regulation of the endothelial cell layer of blood vessels"]
[{"$nulls":4},"8.4 The circadian clock in vascular disease"]
[null,null,null,"Sommario/riassunto","Circadian rhythms, the biological oscillations based around our 24-hour clock, have a profound effect on human physiology and healthy cellular function. Circadian Rhythms: Health and Disease is a wide-ranging foundational text that provides students and researchers with valuable information on the molecular and genetic underpinnings of circadian rhythms and looks at the impacts of disruption in our biological clocks in health and disease.   Circadian Rhythms round                                                                       w  o                                                                                                                   rk on circadian rhythm biology. Section II looks at the impact of circadian rhythms"]
[null,"2.","Record Nr.",null,"UNISA996483162503316"]
[null,null,"Titolo",null,"Computer information systems and industrial management : 21st International Conference, CISIM 2022, Barranquilla, Colombia, July 15-17, 2022, proceedings / / edited Khalid Saeed and Jiří Dvorský"]
[null,null,"Pubbl/distr/stampa",null,"Cham, Switzerland : , : Springer, , [2022]"]
[{"$nulls":4},"©2022"]
[null,null,"ISBN",null,"3-031-10539-7"]
[null,null,"Descrizione fisica",null,"1 online resource (415 pages)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science Ser. ; ; v.13293"]
[null,null,"Disciplina",null,"929.605"]
[null,null,"Soggetti",null,"Computer networks"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Intro -- Preface -- Organization -- Keynotes -- A Study of Fuzzy and Neutrosophic Economic Order Quantity Model Allowing Delay in Payment -- Federated Learning and Knowledge Distillation with Granular Computing -- Socially Optimal Solutions in Freight and Disaster Response Logistics -- Contents -- Biometrics and Pattern Recognition Applications -- Semi-supervised Adaptive Method for Human Activities Recognition (HAR) -- 1 Introduction -- 2 Related Works -- 3 Materials and Methods -- 3.1 Dataset Description -- 3.2 Simple K-Means -- 3.3 Decision Trees -- 3.4 Naïve Bayes -- 3.5 Support Vector Machines -- 4 Methodology -- 4.1 Data Cleaning and Preparation -- 4.2 Cluster Adjustment and Preparation -- 4.3 Activity Classification -- 5 Results and Discussion -- 6 Conclusions and Future Works -- References -- A New Approach for Image Thinning -- 1 Introduction -- 2 Related Works -- 3 A New Thinning Algorithm - Calibrated Thinning -- 4 Experiments and Results -- 4.1 Algorithmic Description -- 4.2 Applications -- 4.3 Conclusions -- References -- Augmentation of Accelerometer and Gyroscope Signals in Biometric Gait Systems -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Dataset -- 3.2 Segmentation and Data Preprocessing -- 3.3 Data Augmentation -- 3.4 Classification -- 4 Experiment Results -- 5 Conclusions and Future Work -- References -- Computer Information Systems and Security -- A Look into the Vulnerability of Voice Assisted IoT -- 1 Introduction -- 2 Related Work -- 3 Aim and Research Questions -- 4 Vulnerabilities of Voice Assistant Systems that Increase End Users' Data Security Risks -- 4.1 Always "]
[{"$nulls":4},"Listening End User Conversation -- 4.2 Weak Authentication -- 4.3 Easily Controlled by Ultrasonic Sound -- 4.4 Silently Install Skills (Apps) on a User IoT Device -- 4.5 Cloud Server Dependency -- 4.6 Dependent on Other Edge Devices."]
[{"$nulls":4},"5 Future Research Scope -- 6 Conclusion -- References -- A Systematic Review of Highly Transparent Steganographic Methods for the Digital Audio -- 1 Introduction -- 2 Transparency -- 2.1 Human Auditory System -- 2.2 Measures -- 2.3 Related Works -- 3 Motivation -- 4 Methodology -- 5 Review Results -- 6 Conclusions and Further Works -- References -- Industrial Management and Other Applications -- Software Product Maintenance: A Case Study -- 1 Introduction -- 2 Literature Work -- 3 Phases of Model -- 3.1 Modification Requirement Analysis -- 3.2 Feasibility Determination -- 3.3 Code - X-Ray -- 3.4 Localization -- 3.5 Impact Analysis -- 3.6 Implementation Plan -- 4 Types of Maintenance -- 4.1 Corrective Maintenance -- 4.2 Perfective Maintenance -- 4.3 Adaptive Maintenance -- 4.4 Preventive Maintenance -- 4.5 Performance Measures of Maintenance -- 4.6 Maintainability Index -- 4.7 Structural Measures -- 4.8 The Detect of Code -- 5 Maintenance Case Study -- 6 Explanation and Comparing -- 7 Conclusion -- References -- Digital Transformation and the Role of the CIO in Decision Making: A Comparison of Two Modelling Approaches -- 1 Introduction -- 2 Software Tools for Remote Collaboration -- 2.1 Software Tools for Videoconferencing -- 2.2 Learning Management System Software -- 2.3 Software Platform to Support Project Management -- 3 Group Decision-Making Models in Determination of Software Tools for Remote Collaboration -- 3.1 Group Decision-Making Model for Fast Evaluation and Selection -- 3.2 Group Decision-Making Model for Evaluation and Simultaneous Selection of Several Software Tools for Remote Collaboration -- 4 Numerical Application -- 4.1 Evaluation of Collaborative Software Tools by Group of Experts -- 4.2 Comparison Between Group Decision-Making Approaches -- 5 Conclusions -- References -- Low-Cost Voice Assistant Design and Testing for Older Adults."]
[{"$nulls":4},"1 Introduction -- 2 Theoretical Framework -- 3 Problem Description -- 3.1 Causes of Loneliness -- 3.2 Proposed Solution and Objectives -- 4 Project Solutions -- 4.1 Functions -- 4.2 Materials -- 4.3 App Interface -- 4.4 Conversation Function -- 5 Results and Discussion -- 5.1 Development Tests -- 5.2 Users Test -- 5.3 General Results of the Objectives -- 6 Conclusions -- References -- Design of a Wearable Assistive System for Visually Impaired People -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Problem Feature -- 5 Development Process -- 5.1 Software Selection -- 5.2 Hardware Selection -- 5.3 Tests Carried -- 6 Preliminary Results and Discussion -- 7 Conclusions -- References -- Drivers of Eco-innovation in Industrial Clusters - A Case Study in the Colombian Metalworking Sector -- 1 Introduction -- 1.1 Study Conceptualization -- 2 Methodology -- 3 Results and Discussion -- 4 Conclusions -- References -- International Purchase Transactions: An Analysis of the Decision Cycles in Colombian Companies' Operations -- 1 Introduction -- 2 Theoretical Background -- 3 Methodology -- 4 Results and Discussions -- 4.1 First Cycle: Decisions Related to the Purchasing Process -- 4.2 Second Cycle: Decisions Related to the International Physical Distribution Process (IPD) -- 4.3 Third Cycle: Decisions Related to the Process of Customs Clearance -- 4.4 A Proposed Model for Context-Specific Decisions -- 5 Conclusions -- References -- Knowledge Management: Effects on Innovation in Micro, Small, and Medium-Sized Export Enterprises -- 1 Introduction -- 2 Literature Review -- 2.1 Innovation Capability -- 2.2 Knowledge "]
[{"$nulls":4},"Management -- 3 Methods and Material -- 4 Finding -- 5 Discussion -- 6 Conclusions -- 7 Implications -- References -- Evaluation of Educational Quality Under a Six Sigma Approach to Engineering Degrees in Colombia -- 1 Introduction."]
[{"$nulls":4},"2 Literature Review -- 2.1 Assessing Quality in the Service Industry -- 2.2 Application of Six Sigma in the Service Industry -- 2.3 Application of Six Sigma in Higher Education -- 3 Methodology -- 3.1 Population -- 3.2 Academic Competencies -- 3.3 Quality Dimensions -- 4 Results -- 4.1 Six Sigma Results Analysis -- 4.2 Conformity Analysis -- 5 Discussion -- 6 Conclusions -- References -- Machine Learning and Artificial Neural Networks -- A Recommender System for Digital Newspaper Readers Based on Random Forest -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data -- 2.2 Target Variables -- 2.3 Decision Trees -- 2.4 Random Forest -- 2.5 Performance Metrics -- 3 Results -- 3.1 Exploratory Data Analysis -- 3.2 Decision Tree Results -- 3.3 Random Forest Results -- 4 Discussion -- 5 Conclusion -- References -- Analysis of Pre-trained Convolutional Neural Network Models in Diabetic Retinopathy Detection Through Retinal Fundus Images -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Work Environment -- 3.2 Dataset Description and Processing -- 3.3 Proposed Approach -- 3.4 Performance Indicators -- 4 Results and Discussion -- 4.1 Comparative Between Evaluated Models -- 4.2 Comparative with Related Works -- 5 Conclusion -- References -- User Interface-Based in Machine Learning as Tool in the Analysis of Control Loops Performance and Robustness -- 1 Introduction -- 2 Control Performance Monitoring -- 2.1 Stochastic Stationary Processes -- 2.2 Performance Indices -- 3 Machine Learning -- 3.1 Supervised Learning -- 4 Results -- 4.1 A Case Study -- 4.2 The Model with Machine Learning -- 4.3 User Interface for Deterministic Indices Prediction -- 5 Conclusions -- References -- Predictive Model of Cardiovascular Diseases Implementing Artificial Neural Networks -- 1 Introduction -- 2 Related Research -- 3 Data Pre-processing."]
[{"$nulls":4},"4 Feature Selection Techniques -- 4.1 Info. Gain -- 4.2 Gain Ratio -- 5 Training Techniques and Classification -- 5.1 Neural Networks SOM (Self-organizing Map) -- 5.2 Neural Networks GSOM (Growing Hierarchical Self Organizing Maps) -- 6 Methodology -- 7 Simulation Scenarios and Results -- 8 Conclusions -- References -- Bird Identification from the Thamnophilidae Family at the Andean Region of Colombia -- 1 Introduction -- 2 Related Work -- 3 Experimental Setup -- 3.1 Data-Set -- 3.2 Feature Extraction -- 3.3 Classification Stage -- 4 Results -- 5 Conclusions -- References -- Blood Pressure Estimation from Photoplethysmography Signals by Applying Deep Learning Techniques -- 1 Introduction -- 2 Previous Work -- 3 Materials and Methods -- 3.1 Preprocessing Stage -- 3.2 Processing Stage -- 3.3 Proposed Convolutional Neural Network -- 4 Results -- 4.1 2D-CNN Model 1 -- 4.2 2D-CNN Model 2 -- 4.3 2D-CNN Model 3 -- 4.4 Evaluation Stage -- 5 Conclusions -- References -- Food Classification from Images Using a Neural Network Based Approach with NVIDIA Volta and Pascal GPUs -- 1 Introduction -- 2 Related Work and Motivations -- 3 Problem Formulation and Approach -- 4 Training and Validation Data -- 5 Experimental Results -- 5.1 Preliminary Results for Various Models -- 5.2 Inference Times Using CPU vs GPU -- 5.3 Training and Results for Various Parameters for InceptionV3 Model -- 6 Conclusions and Future Work -- References -- Application of Continuous Embedding of Viral Genome Sequences and Machine Learning in the Prediction of SARS-CoV-2 Variants -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset Preparation and Preprocessing -- 2.2 Ngrams-Based SARS-CoV-2 Genome Vectorization -- 2.3 "]
[{"$nulls":4},"Supervised Machine Learning -- 3 Results and Discussion -- 3.1 Evaluation on Test Set -- 3.2 2D Projection of 61,365 SARS-CoV-2 Samples."]
[{"$nulls":4},"3.3 Limitations and Future Research."]