LEADER 04526nam 2201177z- 450 001 9910557204903321 005 20220111 035 $a(CKB)5400000000041891 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/76289 035 $a(oapen)doab76289 035 $a(EXLCZ)995400000000041891 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aLegumes as Food Ingredient$eCharacterization, Processing, and Applications 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (190 p.) 311 08$a3-0365-0614-4 311 08$a3-0365-0615-2 330 $aLegume crops provide a significant sources of plant-based proteins for humans. Grain legumes present outstanding nutritional and nutraceutical properties as sources of bioactive components with benefits in human health, while they are affordable food that contributes to achieving future food and feed security. Furthermore, they are major ingredients in the Mediterranean diet, playing a vital role in developing countries. Global food security requires a major re-focusing of plant sciences, crop improvement and production agronomy towards grain legumes (pulse crops) over coming decades, with intensive research to identify cultivars with improved grain characteristics, helping to develop novel legume-derived products (foods) adapted to today consumer preference. In this context, studies dealing with legume processing impact such as soaking, boiling, microwave cooking, germination, and fermentation among others, in their nutritional and anti-nutritional (i.e., food allergy) properties are of great interest in these future food developments. This Research Topic aims to bring together a collection of studies for a better understanding of current research in legume seed compounds functional properties to provide an updated and global vision of the importance of legumes in human health. 517 $aLegumes as Food Ingredient 606 $aHumanities$2bicssc 606 $aSocial interaction$2bicssc 610 $a7S-globulins 610 $aallergenicity 610 $aallergens 610 $aamino acid 610 $aaroma profile 610 $abeany 610 $abioactive peptides 610 $acharacterisation 610 $adefatted soybean flour 610 $aemulsifying capacity 610 $afaba beans 610 $afatty acids 610 $afermentation 610 $afingerprinting 610 $afoam 610 $afood allergens 610 $afood labelling 610 $afunctionality 610 $agalactooligosaccharides 610 $agel electrophoresis 610 $agenetically modified 610 $agluten-free 610 $aGly m 7 610 $aGOS 610 $agreen 610 $agut microbiota 610 $ahealth benefits 610 $ajet mill 610 $alactic acid bacteria 610 $alactobacteria 610 $alegume 610 $alegumes 610 $aLens 610 $aLup an 1 610 $alupin 610 $amicrobiota 610 $amultivariate data analysis 610 $anutritional profile 610 $anutritional properties 610 $apea 610 $apea protein 610 $aplant protein 610 $aprebiotic 610 $aprocessed food 610 $aprocessing 610 $aprotein 610 $apulses 610 $aquantitative descriptive analysis 610 $araffinose oligosaccharides 610 $aSDS-PAGE 610 $asensory profile 610 $asensory properties 610 $ashort-chain fatty acids (SCFA) 610 $asolubility 610 $asoybean 610 $asuper-fine powder 610 $asweet lupin species 610 $atechno-functional properties 610 $atextural properties 610 $atexture profile analysis 610 $atofu 610 $avicilin 610 $avolatiles 610 $awattle seed species 610 $ayeast 615 7$aHumanities 615 7$aSocial interaction 700 $aClemente$b Alfonso$4edt$01279421 702 $aJimenez-Lopez$b Jose C$4edt 702 $aClemente$b Alfonso$4oth 702 $aJimenez-Lopez$b Jose C$4oth 906 $aBOOK 912 $a9910557204903321 996 $aLegumes as Food Ingredient$93015354 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