LEADER 01348nam--2200421---450- 001 990002694820203316 005 20070126103722.0 010 $a88-541-0387-X 035 $a000269482 035 $aUSA01000269482 035 $a(ALEPH)000269482USA01 035 $a000269482 100 $a20051216d2005----km-y0itay0103----ba 101 $aita 102 $aIT 105 $aa|||||||001yy 200 1 $aStoria dell'antisemitismo$eun quadro esaustivo del fenomeno, che partendo dall'intolleranza cristiana, esplora quella araba, quella comunista e quella nazista$fDan Cohn-Sherbok 210 $aRoma$cNewton & Compton$dcopyr. 2005 215 $a363 p., [4] c. di tav.$cill.$d22 cm 225 2 $aUniversale storica Newton$v40 300 $aTrad. di Roberto Lanzi 410 0$12001$aUniversale storica Newton$v40 454 1$12001 454 1$12001$aAnti-semitism$919646 461 1$1001-------$12001 606 $aAntisemitismo 676 $a320.53 700 1$aCOHN-SHERBOK,$bDan$0472785 702 1$aLANZI,$bRoberto 801 0$aIT$bsalbc$gISBD 912 $a990002694820203316 951 $aII.2. 4365(XIV 17629$b181971 L.M.$cXIV$d00182012 959 $aBK 969 $aUMA 979 $aVITALE$b90$c20051216$lUSA01$h1442 979 $aCOPAT7$b90$c20070126$lUSA01$h1037 996 $aAnti-semitism$919646 997 $aUNISA LEADER 00842nam a2200229 i 4500 001 991002887539707536 005 20021022143736.0 008 960610s1921 fr ||| | fre 035 $ab11723464-39ule_inst 035 $aLE021FD222208$9ExL 040 $aDip. SSSC$bita 245 13$aLe ballet au XIX siècle. 260 $aParis :$bEd. de la Nuovelle Revue Française,$c1921 500 $aNumero spècial de la Revue Musicale du 1 Décembre 1921. 650 4$aBalletto$ySec. 19 650 4$aPeriodici musicali 907 $a.b11723464$b02-04-14$c24-10-02 912 $a991002887539707536 945 $aLE021FD MUS16bisA10$g1$iLE021FD-4666$lle023$nFondo D'Amico$o-$pE0.00$q-$rn$so $t0$u0$v0$w0$x0$y.i11963517$z24-10-02 996 $aBallet au XIX siècle$9903660 997 $aUNISALENTO 998 $ale021$b10-06-96$cm$da $e-$ffre$gfr $h3$i1 LEADER 03331nam 22007335 450 001 9910746086103321 005 20230908142553.0 010 $a9789819939824 010 $a9819939828 024 7 $a10.1007/978-981-99-3982-4 035 $a(MiAaPQ)EBC30736590 035 $a(Au-PeEL)EBL30736590 035 $a(DE-He213)978-981-99-3982-4 035 $a(PPN)272736155 035 $a(CKB)28172722900041 035 $a(OCoLC)1399167780 035 $a(EXLCZ)9928172722900041 100 $a20230908d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aICT for Intelligent Systems $eProceedings of ICTIS 2023 /$fedited by Jyoti Choudrie, Parikshit N. Mahalle, Thinagaran Perumal, Amit Joshi 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (524 pages) 225 1 $aSmart Innovation, Systems and Technologies,$x2190-3026 ;$v361 311 08$aPrint version: Choudrie, Jyoti ICT for Intelligent Systems Singapore : Springer,c2024 9789819939817 327 $aIntrusion Detection Model for IoT Networks using Graph Convolution Networks(GCN) -- Drowsiness Detection System -- A Deep Learning Technique to Recommend Music based on Facial and Speech Emotions -- Smart Chair Posture Detection and Correction Using IOT -- The Opinions Imparted On Singular?s Face. 330 $aThis book gathers papers addressing state-of-the-art research in all areas of information and communication technologies and their applications in intelligent computing, cloud storage, data mining and software analysis. It presents the outcomes of the Seventh International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2023), held in Ahmedabad, India. It discusses the fundamentals of various data analysis techniques and algorithms, making it a valuable resource for researchers and practitioners alike. 410 0$aSmart Innovation, Systems and Technologies,$x2190-3026 ;$v361 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aTelecommunication 606 $aCooperating objects (Computer systems) 606 $aInternet of things 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aCommunications Engineering, Networks 606 $aCyber-Physical Systems 606 $aInternet of Things 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aTelecommunication. 615 0$aCooperating objects (Computer systems) 615 0$aInternet of things. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aCommunications Engineering, Networks. 615 24$aCyber-Physical Systems. 615 24$aInternet of Things. 676 $a004.6 700 $aChoudrie$b Jyoti$01427269 701 $aMahalle$b Parikshit N$0947748 701 $aPerumal$b Thinagaran$01427270 701 $aJoshi$b Amit$01265590 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910746086103321 996 $aICT for Intelligent Systems$93563094 997 $aUNINA LEADER 13916nam 22007813u 450 001 9910561298303321 005 20250628110029.0 010 $a3-030-94212-0 035 $a(CKB)5850000000018215 035 $aEBL6953198 035 $a(AU-PeEL)EBL6953198 035 $a(MiAaPQ)EBC6953198 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/81652 035 $a(PPN)262167948 035 $a(ODN)ODN0010072960 035 $a(Au-PeEL)EBL6953198 035 $a(OCoLC)1311380771 035 $a(oapen)doab81652 035 $a(EXLCZ)995850000000018215 100 $a20250630d2022 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aQuantifying Quality of Life $eIncorporating Daily Life into Medicine 205 $a1st ed. 210 $aCham $cSpringer International Publishing AG$d2022 215 $a1 online resource (595 p.) 225 1 $aHealth Informatics 300 $aDescription based upon print version of record. 311 08$a3-030-94211-2 327 $aIntro -- Acknowledgements -- Contents -- Part I: Introduction -- Chapter 1: Unfolding the Quantification of Quality of Life -- Introduction -- The WHOQOL Instrument -- Learning from the 'Quantified-Self' Community -- The Quantified-Self Movement -- The Quantified-Self Community -- Methods -- Results -- One-Dimensional Presentation of Data and Findings -- Two-Dimensional Presentation of Data and Findings -- Discussion -- Limitations -- Concluding Remarks on Self-Tracking and Quality of Life -- Future Outlook: Importance of Improving Quality of Life Quantification -- Appendices -- Appendix 1 -- Appendix 2 -- References -- Part II: Physical Health -- Chapter 2: Assessing Activity of Daily Living through Technology-Enabled Tools: Mobility and Nutrition Assessment: MiranaBot: A Nutrition Assessment Use Case -- Introduction -- State of the Art -- Activities of Daily Living (ADLs) -- Validated Scales for ADLs -- Technology-Enabled Tools to Assess Indoor-Outdoor Mobility -- Activity Recognition -- Wireless Indoor-Outdoor Positioning Systems -- Technology-Enabled Tools to Assess Nutrition -- Use Case: Nutrition Assessment -- Methodology -- Factors Influencing Nutrition Self-Management -- Barriers to Healthy Nutrition -- Needs and Requirements -- Summary -- MiranaBot: Behavior Change Theory and Techniques in Action -- Self-Monitoring -- Personalized Visual Feedback -- Goal Setting -- Self-Awareness -- Personalized Education -- MiranaBot: Components and Functionalities -- Speech to Text Module -- Text Analysis Module -- Natural Conversation Module -- Graphical User Interface -- Conclusions -- References -- Chapter 3: Monitoring Technologies for Quantifying Medication Adherence -- Introduction -- Background -- Medication Adherence -- Medication Adherence Monitoring -- Why Technology-Based Solutions? -- Related Work. 327 $aA Review of Medication Adherence Monitoring Systems -- Sensor-Based Systems -- Smart Pill Containers -- Wearable Sensors -- Ingestible Biosensors -- Proximity Sensing -- Vision-Based Systems -- Fusion-Based Systems -- Proximity-Sensor Systems -- Proximity-Visual Systems -- Visual-Sensor Systems -- Sensor-App Systems -- Challenges and Future Trends -- Challenges -- System Accuracy and Data Fidelity -- Energy Consumption and Lifetime -- Acceptability and User's Comfort -- Tampering, Authentication, and Active Non-Compliance -- Future Trends -- Conclusions -- References -- Chapter 4: Quantifying Energy and Fatigue: Classification and Assessment of Energy and Fatigue Using Subjective, Objective, and Mixed Methods towards Health and Quality of Life -- Introduction -- Methods -- Results -- Energy and Fatigue Classification -- Pathological Fatigue -- Physical Fatigue -- Neurological Fatigue -- Non-Neurological Fatigue -- Mental Fatigue -- Non-pathological Fatigue -- Physical Fatigue -- Mental Fatigue -- Factors Influencing Fatigue -- Energy and Fatigue Measures -- Subjective Measures -- Scale Instruments -- Momentary Assessments -- Objective Fatigue and Energy Measures -- Physical Assessment -- Cognitive Assessment -- Cardiac Physiology -- Ocular Physiology -- Neural Physiology -- Biologic Markers -- Behavioural Markers -- Mixed Methods -- Property Spectrums of Energy and Fatigue Measures -- Discussion -- Key Findings -- Limitations -- Opportunities -- Conclusive Remarks -- References -- Chapter 5: Quantifying Mobility in Quality of Life -- What Is Mobility? -- What Is QOL? -- Is Mobility Important for QoL? -- What Do People Say? -- What Do the Data Say about the QoL of the Body -- Using Mobility to Quantify QoL -- What Mobility Parameters Can Be Monitored Via Technologies? -- Mapping the Future -- References. 327 $aChapter 6: iSenseYourPain: Ubiquitous Chronic Pain Evaluation through Behavior-Change Analysis -- Introduction -- Self-Reported Pain and Chronic Pain Assessment -- Pain Detection Using Smart Devices -- iSenseYourPain: System Criteria and Design Choices -- Data Sources and Collection -- Data Analysis and Modeling -- Conclusions -- References -- Chapter 7: Technologies for Quantifying Sleep: Improved Quality of Life or Overwhelming Gadgets? -- The Importance of Sleep -- Why Are Existing Methods Not Adequate? -- Methods and Tools for Objective and Quantitative Assessment of Daily Sleep -- Benefits, Limitations, and Potential Pitfalls -- References -- Chapter 8: Improving Work Capacity and HRQoL: The Role of QoL Technologies -- Introduction -- Definition and Measurement of Work Capacity -- Research Studies on Variations in Work Capacity and QoL -- The State-of-Art of Personalized Computing QoL Technologies for Measuring Physical Activity -- Types of Wearable Activity Trackers and Other Devices -- Evidence for the Use and Effectiveness of Activity Trackers -- Validity and Reliability of Fitness Trackers for Measuring Physical Activity -- From Activity Trackers to Quantified Work Capacity -- Strategies to Improve Work Capacity Using Behavioral Change Techniques and QoLT Interventions -- Use of Digital Fitness Devices and Behavioral Change Management Techniques -- Challenges Using Quality of Life Technologies in the Improvement of Work Capacity -- Discussion and Recommendations -- References -- Part III: Psychological Health -- Chapter 9: Quantifying the Body: Body Image, Body Awareness and Self-Tracking Technologies -- Introduction -- The Self and the Body -- Body Constructs -- Body Schema, Body Image, and Self-Tracking -- Body Schema -- Body Image -- Self-Tracking -- Body Awareness and Self-Tracking -- Body Awareness -- Self-Tracking. 327 $aSelf-Tracking and Sport -- Method -- Findings -- Discussion -- Beyond the Athletes -- Conclusion -- References -- Chapter 10: Your Smartphone Knows you Better than you May Think: Emotional Assessment 'on the Go' Via TapSense -- Introduction -- Background and Related Work -- Definition of Relevant Domain Concepts -- Importance of Feelings Moods, Psychological States -- Assessment of Emotions -- Self-Report-Based Methods for Emotion Assessment -- Physiology-Based Emotion Assessment -- Emotional Assessment from Blood -- Emotional Assessment from Brain -- Emotional Assessment from Physiological Signal Collection -- Expression-Based Emotion Assessment -- Facial Emotion Recognition (FER) -- Speech Based Emotion Recognition (SER) -- Emotional Assessment from Posture -- Internet-Use Based Emotion Assessment -- Social Network Analysis -- Smartphone-Based Emotion Assessment -- Smartphone-Based Experience Sampling Method Design -- Pros and Cons in Different Emotion Assessment Approaches -- Tapsense: Smartphone Typing Based Emotion Assessment -- Background -- Requirements -- Design and Implementation of TapSense -- Emotion Assessment Model Construction -- Experience Sampling Method Design -- TapSense: Field Study and Data Analysis -- Study Participants -- Instruction and Study Procedure -- Collected Dataset -- EMA Self-Report Analysis -- TapSense Evaluation -- Experimental Setup -- Baseline ESM Schedules -- Overall Performance Metrics -- ESM Performance Metrics -- Emotion Assessment: Classification Performance -- ESM Performance -- TapSense Study Discussion and Lessons Learnt -- Conclusive Remarks -- Appendices -- Appendix 1: Parameter Threshold Value -- Appendix 2: The ESM Trace Generation -- References -- Chapter 11: The Elusive Quantification of Self-Esteem: Current Challenges and Future Directions -- Introduction -- Definition of Self-Esteem. 327 $aAssessing Self-Esteem -- Trait, Global, and State Self-Esteem Measures -- Trait and Global Self-Esteem Measures -- State Self-Esteem Measures -- Contingency of Self-Esteem -- The Motivational Force of Self-Esteem -- Future Directions in Assessing Self-Esteem -- New Technologies and Social-Psychological Processes and Constructs -- Toward New Methods of Quantifying and Conceptualizing Self-Esteem -- Conclusion -- References -- Chapter 12: Yoga and Meditation for Self-Empowered Behavior and Quality of Life -- Introduction -- Stress and Emotions' Influence on Psychophysiological Factors -- Thoughts, Beliefs, Emotions, and Behaviors -- The Influence of the Mind on Human Behavior -- Influence of Personal Beliefs on Human Behavior -- The Influence of Emotions on Human Behavior -- Behavior: Yoga and Meditation as Interventions for Stress Management -- Quantifying Thoughts, Beliefs, Feelings and Behaviors -- Yoga and Meditation as Techniques for Achieving Self-Empowered Behavior -- Concluding Remarks -- References -- Chapter 13: Technology-Enabled Assessment and Improvement of Inclusive Learning and Quality of Life in Higher Education -- Introduction -- Current Assessment Methods for Cognition/Executive Function, Attention, Memory and Learning in Healthy Populations -- Visual Tools -- Common Challenges to Inclusive Learning in Higher Education -- Physical Health and Illnesses -- Mental Health and Illnesses -- Learning Differences, Neurodiversity -- Students Juggling Higher Education with Work or Caring/Family Commitments -- Method -- Digital Learning and Teaching Platforms (DLTP) Description and Analysis -- Learning Management Systems -- Social and Collaborative Tools -- In-Class Engagement -- Out-of-Class Interactions -- Assessment and Improvement of Inclusive Learning with Digital Learning Platforms (DLTP) -- Physical Impairments -- Cognitive Impairments. 327 $aBehavioral Impairments. 330 $aDescribes technological methods and tools for objective and quantitative assessment of QoL Appraises technology-enabled methods for incorporating QoL measurements in medicine Highlights the success factors for adoption and scaling of technology-enabled methods This open access book presents the rise of technology-enabled methods and tools for objective, quantitative assessment of Quality of Life (QoL), while following the WHOQOL model. It is an in-depth resource describing and examining state-of-the-art, minimally obtrusive, ubiquitous technologies. Highlighting the required factors for adoption and scaling of technology-enabled methods and tools for QoL assessment, it also describes how these technologies can be leveraged for behavior change, disease prevention, health management and long-term QoL enhancement in populations at large. Quantifying Quality of Life: Incorporating Daily Life into Medicine fills a gap in the field of QoL by providing assessment methods, techniques and tools. These assessments differ from the current methods that are now mostly infrequent, subjective, qualitative, memory-based, context-poor and sparse. Therefore, it is an ideal resource for physicians, physicians in training, software and hardware developers, computer scientists, data scientists, behavioural scientists, entrepreneurs, healthcare leaders and administrators who are seeking an up-to-date resource on this subject. 410 0$aHealth informatics. 606 $aMedical equipment & techniques$2bicssc 606 $aPersonal & public health$2bicssc 606 $aMolecular biology$2bicssc 606 $aLife sciences: general issues$2bicssc 606 $aInformàtica mèdica$2thub 606 $aQualitat de vida$2thub 608 $aLlibres electrònics$2thub 610 $aQuality of life 610 $aBehaviour Informatics 610 $aSelf-esteem 610 $aMobility 610 $aPhysical environment 615 7$aMedical equipment & techniques 615 7$aPersonal & public health 615 7$aMolecular biology 615 7$aLife sciences: general issues 615 7$aInformàtica mèdica 615 7$aQualitat de vida 686 $aCOM014000$aMED000000$aMED078000$aSCI056000$2bisacsh 700 $aWac$b Katarzyna$01239229 701 $aWulfovich$b Sharon$01239230 801 0$bAU-PeEL 801 1$bAU-PeEL 801 2$bAU-PeEL 906 $aBOOK 912 $a9910561298303321 996 $aQuantifying Quality of Life$92875500 997 $aUNINA LEADER 04552nam 2201429z- 450 001 9910557599803321 005 20220111 035 $a(CKB)5400000000043679 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/76758 035 $a(oapen)doab76758 035 $a(EXLCZ)995400000000043679 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aDiets, Foods and Food Components Effect on Dyslipidemia 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (300 p.) 311 08$a3-0365-1238-1 311 08$a3-0365-1239-X 330 $aDyslipidemia, and particularly hypercholesterolemia, remains a main cardiovascular disease risk factor, partly reversible with the improvement of life-style, including dietary, habits. Even when a pharmacological treatment is begun, dietary support to lipid-lowering is always desired. This book will provide a selection of new evidence on the possible lipid-lowering effects of some dietary and medicinal plant components, reporting some interesting reviews, experimental data and results from clinical trials. The book is adapted for experts in nutrition but also for all scientists involved in cardiovascular disease prevention. 606 $aPublic health and preventive medicine$2bicssc 610 $aalpha-linolenic acid 610 $aanimal based 610 $aArmolipid Plus® 610 $aberberine 610 $abergamot 610 $abeta-glucan 610 $ablack raspberry 610 $ablackcurrant 610 $ablood pressure 610 $acardiovascular health 610 $aChinese adults 610 $achitosan 610 $aCHNS 610 $acholesterol 610 $aChrysanthemum morifolium Ramat leaves 610 $aclinical trial 610 $aCVD 610 $adietary factor 610 $adietary fats 610 $adietary fiber 610 $adietary intake 610 $adietary pattern 610 $adyslipidemia 610 $aendothelial function 610 $aepigallocatechin gallate 610 $aEudragit 610 $aexcessive choline 610 $afasting plasma glucose 610 $afiber 610 $aflaxseed 610 $aformononetin 610 $agastric ulcer 610 $aglibenclamide 610 $agreen tea 610 $ahealthy 610 $ahepatic inflammation 610 $ahigh fat diet 610 $aHNF1? 610 $ahypercholesterolemia 610 $aintestinal function 610 $aLCD score 610 $aLDL-cholesterol 610 $alifestyle 610 $alipid profile 610 $alipidomics 610 $alipids 610 $aliquid chromatography tandem mass spectrometry 610 $aliver steatosis 610 $ametabolic diseases 610 $ametabolic syndrome 610 $amicrospheres 610 $amonacolins 610 $an/a 610 $anatural antioxidant 610 $anutraceutical 610 $anutraceuticals 610 $aobesity 610 $aomega-3 610 $aomega-3 fatty acids 610 $aovariectomized 610 $aPCSK9 610 $aphospholipid 610 $aphytoestrogen 610 $aphytosterols 610 $aplant based 610 $aplant extracts 610 $aplant-based diet 610 $apolyphenols 610 $apropolis 610 $arats 610 $ared yeast rice 610 $areview 610 $aSaudi Arabia 610 $aserum cholesterol 610 $aserum high density lipoprotein 610 $aserum low density lipoprotein 610 $aserum triglycerides 610 $asphingolipid 610 $aSREBP 610 $astreptozotocin 610 $asupplementation 610 $asustainability 610 $aTMAO 610 $atranscription factors 610 $atype 2 diabetes mellitus 610 $avitamin B12 610 $awalnuts 615 7$aPublic health and preventive medicine 700 $aFogacci$b Federica$4edt$01328685 702 $aCicero$b Arrigo$4edt 702 $aBorghi$b Claudio$4edt 702 $aFogacci$b Federica$4oth 702 $aCicero$b Arrigo$4oth 702 $aBorghi$b Claudio$4oth 906 $aBOOK 912 $a9910557599803321 996 $aDiets, Foods and Food Components Effect on Dyslipidemia$93038823 997 $aUNINA