LEADER 04985nam 22006495 450 001 9910298084203321 005 20200919154328.0 010 $a1-4939-1022-1 024 7 $a10.1007/978-1-4939-1022-9 035 $a(CKB)3710000000227296 035 $a(EBL)1965081 035 $a(OCoLC)890138353 035 $a(SSID)ssj0001338271 035 $a(PQKBManifestationID)11780352 035 $a(PQKBTitleCode)TC0001338271 035 $a(PQKBWorkID)11338126 035 $a(PQKB)11586865 035 $a(MiAaPQ)EBC1965081 035 $a(DE-He213)978-1-4939-1022-9 035 $a(PPN)180621866 035 $a(EXLCZ)993710000000227296 100 $a20140830d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAffect Regulation Training $eA Practitioners' Manual /$fby Matthias Berking, Brian Whitley 205 $a1st ed. 2014. 210 1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d2014. 215 $a1 online resource (241 p.) 300 $aDescription based upon print version of record. 311 $a1-4939-1021-3 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aEmotion Regulation and Mental Health -- ART Development Model of Emotion Regulation Deficits -- Use of affect regulation training as a psychological intervention -- Guidelines for effective delivery of affect regulation training -- Training format and logistics -- ART module one- introduction and psychoeducation -- ART module two- muscle and breathing relaxation -- Module three- psychoeducation part II (The importance of regular practice) -- Module four - nonjudgemental awareness -- Module five- acceptance and tolerance -- Module six- compassionate self-support -- Module seven- analyzing emotions -- Module eight- modifying emotions -- Module nine- Additional practice using ART skill #6 (Analyzing Emotions) & ART Skill #7 (modifying emotions) with common challenging emotions -- Program evaluation, efficacy findings, and future opportunities -- closing words. 330 $aNo one is immune to intense emotions--and whether we accept them and how we regulate them can mean the difference between mental health or illness. The critical role of these complex emotional skills in human well-being is at the core of Affect Regulation Training (ART), which is gaining ground as both a preventive method and an adjunct to other therapies. Affect Regulation Training combines a step-by-step manual for conducting ART with patients with an extensive review of how and why the method works. Introductory chapters analyze the relationship between deficits in emotion regulation and mental dysfunction, explain the theory behind the ART model, and offer practical ideas for optimizing treatment. The manual identifies component skills of ART such as nonjudgmental awareness and compassionate self-support, pinpoints situations in which the skills are beneficial, and provides exercises employing them individually and in combination. An evaluation section features empirical findings and feedback from therapists and clients. Included in the coverage: Emotion regulation: definition and relevance for mental health. Guidelines for effective delivery of ART. Linking ART skills to build successful interventions. Creating goals that result in effective self-management. Recommended education and training for therapists. PLUS a complete ART manual with target skills, delivery modules, and recommended intervention sequences. The richness and flexibility of the ART program makes Affect Regulation Training an important addition to the toolkits of psychologists, psychiatrists, marriage and family therapists, and clinical counselors and social workers, as well as practitioners and administrators in fields such as substance abuse, public mental health, education, medicine, military health, and the justice system. 606 $aClinical psychology 606 $aPsychotherapy 606 $aCounseling 606 $aExperiential research 606 $aClinical Psychology$3https://scigraph.springernature.com/ontologies/product-market-codes/Y12005 606 $aPsychotherapy and Counseling$3https://scigraph.springernature.com/ontologies/product-market-codes/Y12010 606 $aPsychology Research$3https://scigraph.springernature.com/ontologies/product-market-codes/Y20000 615 0$aClinical psychology. 615 0$aPsychotherapy. 615 0$aCounseling. 615 0$aExperiential research. 615 14$aClinical Psychology. 615 24$aPsychotherapy and Counseling. 615 24$aPsychology Research. 676 $a150 700 $aBerking$b Matthias$4aut$4http://id.loc.gov/vocabulary/relators/aut$0868566 702 $aWhitley$b Brian$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910298084203321 996 $aAffect Regulation Training$91938810 997 $aUNINA LEADER 04659nam 2201201z- 450 001 9910566481403321 005 20220506 035 $a(CKB)5680000000037566 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/81125 035 $a(oapen)doab81125 035 $a(oapen)81125 035 $a(EXLCZ)995680000000037566 100 $a20202205d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvanced Sensing and Control for Connected and Automated Vehicles 210 $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 online resource (284 p.) 311 08$a3-0365-3487-3 311 08$a3-0365-3488-1 330 $aConnected and automated vehicles (CAVs) are a transformative technology that is expected to change and improve the safety and efficiency of mobility. As the main functional components of CAVs, advanced sensing technologies and control algorithms, which gather environmental information, process data, and control vehicle motion, are of great importance. The development of novel sensing technologies for CAVs has become a hotspot in recent years. Thanks to improved sensing technologies, CAVs are able to interpret sensory information to further detect obstacles, localize their positions, navigate themselves, and interact with other surrounding vehicles in the dynamic environment. Furthermore, leveraging computer vision and other sensing methods, in-cabin humans' body activities, facial emotions, and even mental states can also be recognized. Therefore, the aim of this Special Issue has been to gather contributions that illustrate the interest in the sensing and control of CAVs. 606 $aHistory of engineering & technology$2bicssc 606 $aTechnology: general issues$2bicssc 606 $aHistory of engineering and technology$2bicssc 610 $aanalytic hierarchy architecture 610 $aarticulated cargo trucks 610 $aartificial neural networks 610 $aattention 610 $aattention feature fusion 610 $aautonomous driving 610 $aautonomous vehicle 610 $aautonomous vehicles 610 $acollision warning system 610 $aconnected and autonomous vehicles 610 $adata-driven 610 $adead reckoning 610 $aelectric vehicle 610 $aelectroencephalogram 610 $aend-to-end learning 610 $aexecutive control 610 $afronto-parietal network 610 $ain-vehicle network 610 $akabsch algorithm 610 $akalman filter 610 $amodel predictive control 610 $amulti-scale channel attention 610 $amulti-task learning 610 $amultiple-model 610 $an/a 610 $aobject detection 610 $aobject vehicle estimation 610 $aoff-tracking 610 $apath planning 610 $apotential field 610 $aradar accuracy 610 $aradar latency 610 $areal-time control 610 $aroll stability 610 $asigmoid curve 610 $asimulated driving 610 $asimulation 610 $astring stability 610 $atask-cuing experiment 610 $atime to collision 610 $atraffic scenes 610 $atrajectory tracking 610 $aTROOP 610 $atruck platooning 610 $atyre blow-out 610 $aultra-wideband 610 $aunified chassis control 610 $aUnscented Kalman Filter 610 $aunsprung mass 610 $aurban platooning 610 $aurban vehicle platooning 610 $aV2V communication 610 $avehicle dynamic parameters 610 $avehicle dynamics model 610 $avehicle-to-vehicle communication 610 $aweighted interpolation 610 $ayaw stability 615 7$aHistory of engineering & technology 615 7$aTechnology: general issues 615 7$aHistory of engineering and technology 700 $aHuang$b Chao$4edt$01326262 702 $aDu$b Haiping$4edt 702 $aZhao$b Wanzhong$4edt 702 $aZhao$b Yifan$4edt 702 $aYan$b Fuwu$4edt 702 $aLv$b Chen$4edt 702 $aHuang$b Chao$4oth 702 $aDu$b Haiping$4oth 702 $aZhao$b Wanzhong$4oth 702 $aZhao$b Yifan$4oth 702 $aYan$b Fuwu$4oth 702 $aLv$b Chen$4oth 906 $aBOOK 912 $a9910566481403321 996 $aAdvanced Sensing and Control for Connected and Automated Vehicles$93037230 997 $aUNINA