LEADER 03101nam 2200685 a 450 001 9910137604103321 005 20210604103441.0 010 $a1-299-15806-4 010 $a1-118-48006-6 010 $a1-118-48007-4 010 $a1-118-48004-X 010 $a1-118-48005-8 035 $a(CKB)3190000000032961 035 $a(EBL)1120668 035 $a(OCoLC)827207641 035 $a(SSID)ssj0000715453 035 $a(PQKBManifestationID)11407737 035 $a(PQKBTitleCode)TC0000715453 035 $a(PQKBWorkID)10700919 035 $a(PQKB)11077455 035 $a(MiAaPQ)EBC1120668 035 $a(EXLCZ)993190000000032961 100 $a20120228d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMetabolic syndrome and cardiovascular disease$b[electronic resource] /$fT. Barry Levine, Arlene B. Levine 205 $a2nd ed. 210 $aChichester, West Sussex, U.K. $cWiley-Blackwell$d2013 215 $a1 online resource (514 p.) 300 $aDescription based upon print version of record. 311 $a1-4051-9575-4 320 $aIncludes bibliographical references and index. 327 $aThe metabolic syndrome : a relevant concept? -- Mitochondria -- Telomeres -- The FoxO transcription factors and sirtuins -- Insulin and insulin-like growth factor -- Oxidative stress -- Mental stress -- Sleep -- Inflammation -- Adipose tissue and overweight -- Weight loss and diet -- Skeletal muscle and exercise -- Lipids, atherogenic dyslipidemia, and therapy -- The endothelium, cardiovascular disease, and therapy -- Insulin resistance, metabolic syndrome, and therapy. 330 $aTrends indicate that the metabolic syndrome will become the leading risk factor for heart disease. Now more than ever you need an all-in-one reference that provides the tools and practical advice you need to: Identify at-risk patients Explain individual contributing factorsAid in patient education and motivationDirect comprehensive care and Choose the most appropriate interventions Comprehensively revised to reflect leading-edge research and now organized to facilitate easy access to essential inf 606 $aMetabolic syndrome 606 $aCardiovascular system$xDiseases$xEtiology 606 $aCardiovascular system$xDiseases 606 $aHeart$xDiseases$xRisk factors 606 $aCardiovascular system$xDiseases$xPrevention 608 $aElectronic books. 615 0$aMetabolic syndrome. 615 0$aCardiovascular system$xDiseases$xEtiology. 615 0$aCardiovascular system$xDiseases. 615 0$aHeart$xDiseases$xRisk factors. 615 0$aCardiovascular system$xDiseases$xPrevention. 676 $a616.1/0654 676 $a616.10654 676 $a616.39 700 $aLevine$b T. Barry$0863194 701 $aLevine$b Arlene B$0863195 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910137604103321 996 $aMetabolic syndrome and cardiovascular disease$91926907 997 $aUNINA LEADER 04938nam 22005295 450 001 9910731456803321 005 20251113200324.0 010 $a3-031-34790-0 024 7 $a10.1007/978-3-031-34790-0 035 $a(MiAaPQ)EBC30591367 035 $a(Au-PeEL)EBL30591367 035 $a(DE-He213)978-3-031-34790-0 035 $a(PPN)272262757 035 $a(CKB)26895690000041 035 $a(EXLCZ)9926895690000041 100 $a20230609d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCommunications and Networking $e17th EAI International Conference, Chinacom 2022, Virtual Event, November 19-20, 2022, Proceedings /$fedited by Feifei Gao, Jun Wu, Yun Li, Honghao Gao 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (426 pages) 225 1 $aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,$x1867-822X ;$v500 311 08$aPrint version: Gao, Feifei Communications and Networking Cham : Springer,c2023 9783031347894 327 $aSoftware Engineering and Blockchain Technologies -- Using Requirements Clustering to Discover Dependent Requirements for Hidden Impact Analysis -- A Proposed Keyword-Based Feature Extraction Approach for Labeling and Classifying Egyptian Mobile Apps Arabic Slang User Requirements Reviews -- A Comparative study for anonymizing datasets with multiple sensitive attribute and multiple records -- Proposed Framework for Cloud Immunization In-formation System: Challenges and Opportunities -- The Role of Block Chain Technology in Reducing Corruption within the Local Governance in Egyp -- A data brokering architecture to guarantee nonfunctional requirements in IoT applications -- Machine Learning and Big Data applications -- A Proposed Virtual Learning Model based on Statistical Analysis of Educational Data of Egypt -- Diagnosis Hepatitis B Using Machine and Deep Learning: Survey -- Using GrasshopperOptimization in Big Data -- A Semi-supervised Learning Application for Hand Posture Classification -- Explore the relationship between procedural score feedback and subsequent time allocation and learning outcomes of learners in a MOOC -- DoS attacks detection in the network of drones: An efficient Decision Tree-based method -- Deep Learning applications and Bio-inspired Optimization -- Detecting Fake News Spreaders on Twitter Through Follower Networks -- NODDLE: Node2vec based deep learning model for link prediction -- Hybrid Coral Reef Optimization Algorithm Employed Local Search Technique for Job Shop Scheduling Problems.-,Efficient Human Activity Recognition based on Grouped Representations of Multimodal Wearable Data -- Artificial Intelligence and Data Mining in Education -- Pose+Context: a model for recognizing non-verbal teaching behavior of normal college student -- Dropoutprediction in MOOCs combining behavioral sequence characteristics -- CVO: Curriculum vitae optimization by recommending keywords to undergraduate students -- Hardware and Software solutions for Big Data Storing and Management -- Big Data in Healthcare Institutions: An Architecture Proposal -- New Domains and Novel Applications Related to Big Data Technologies -- Analysis of Knowledge Map on Rural Culture Tourism in China -- A visual analysis of e-government research in China based on co-word clustering -- Research on Virtual Simulation Teaching Platform Based on Convergent Media. 330 $aThis proceedings constitutes the refereed proceedings of the 17th International Conference on Communications and Networking, ChinaCom 2022, held in November 19-20, 2022. Due to COVID-19 pandemic the conference was held virtually. The 31 full papers presented were carefully selected from 83 submissions. The papers are organized in topical sections on Signal Processing and Communication Optimization; Scheduling and Transmission Optimization; Network Communication Performance Enhancement; Deep Learning Applications and Optimization; Deep Learning and Network Performance Optimization; Edge Computing and Artificial Intelligence Applications. 410 0$aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,$x1867-822X ;$v500 606 $aComputer networks 606 $aComputer Communication Networks 615 0$aComputer networks. 615 14$aComputer Communication Networks. 676 $a004.6 676 $a004.6 700 $aGao$b Feifei$0995786 701 $aWu$b Jun$01064415 701 $aLi$b Yun$01337571 701 $aGao$b Honghao$01369360 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910731456803321 996 $aCommunications and Networking$93395528 997 $aUNINA