LEADER 02243nam 2200565 450 001 9910828266203321 005 20170816143257.0 010 $a1-4704-0076-6 035 $a(CKB)3360000000464683 035 $a(EBL)3113855 035 $a(SSID)ssj0000889007 035 $a(PQKBManifestationID)11525290 035 $a(PQKBTitleCode)TC0000889007 035 $a(PQKBWorkID)10866008 035 $a(PQKB)11258592 035 $a(MiAaPQ)EBC3113855 035 $a(RPAM)1578564 035 $a(PPN)195413822 035 $a(EXLCZ)993360000000464683 100 $a20140904h19931993 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aInvariant subsemigroups of Lie groups /$fKarl-Hermann Neeb 210 1$aProvidence, Rhode Island :$cAmerican Mathematical Society,$d1993. 210 4$dİ1993 215 $a1 online resource (209 p.) 225 1 $aMemoirs of the American Mathematical Society,$x0065-9266 ;$vVolume 104, Number 499 300 $a"July 1993, Volume 104, number 499 (end of volume)." 311 $a0-8218-2562-3 320 $aIncludes bibliographical references. 327 $a""Table of Contents""; ""Introduction""; ""I. Invariant Cones in K-modules""; ""II. Lie Algebras with Cone Potential""; ""III. Invariant Cones in Lie Algebras""; ""IV. Faces of Lie Semigroups""; ""V. Compactifications of Subsemigroups of Locally Compact Groups""; ""VI. Invariant Subsemigroups of Lie Groups""; ""VII. ControllabiKty of Invariant Wedges""; ""VIII. Globality of Invariant Wedges""; ""IX. Bohr Compactifications""; ""X. The Unit Group of S[sup(b)]""; ""XI. Faces and Idempotents""; ""XII. Examples and Special Cases""; ""References"" 410 0$aMemoirs of the American Mathematical Society ;$vVolume 104, Number 499. 606 $aLie algebras 606 $aLie groups 606 $aSemigroups 615 0$aLie algebras. 615 0$aLie groups. 615 0$aSemigroups. 676 $a512/.55 700 $aNeeb$b Karl-Hermann$060109 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910828266203321 996 $aInvariant subsemigroups of Lie groups$93922958 997 $aUNINA LEADER 03075nam 2200613Ia 450 001 9910438094003321 005 20200520144314.0 010 $a1-283-61154-6 010 $a9786613923998 010 $a3-7908-2864-5 024 7 $a10.1007/978-3-7908-2864-1 035 $a(CKB)2560000000091016 035 $a(EBL)971714 035 $a(OCoLC)809767427 035 $a(SSID)ssj0000737207 035 $a(PQKBManifestationID)11422584 035 $a(PQKBTitleCode)TC0000737207 035 $a(PQKBWorkID)10783730 035 $a(PQKB)10394112 035 $a(DE-He213)978-3-7908-2864-1 035 $a(MiAaPQ)EBC971714 035 $a(PPN)168331683 035 $a(EXLCZ)992560000000091016 100 $a20120809d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aEmergent phenomena in housing markets $egentrification, housing search, polarization /$fLidia Diappi, editor 205 $a1st ed. 2013. 210 $aHeidelberg ;$aNew York $cPhysica-Verlag$d2012 215 $a1 online resource (191 p.) 300 $aDescription based upon print version of record. 311 $a3-7908-2914-5 311 $a3-7908-2863-7 320 $aIncludes bibliographical references. 327 $aIntroduction -- Part I: Modeling the Spatial Behavior of Agents -- Part II: Empirical Investigations. 330 $aThe housing market, like every market, is the product of thousands of interacting buyers and sellers driven by different interests. But unlike other markets, the housing market is able to profoundly transform the socioeconomic structure and the image of a city. Very often, changes in urban space are the result of the imperceptible operation of a multitude of micro-transformations which act with such great energy and decisiveness that they can transform the ?DNA? of entire urban neighborhoods. These qualitative novelties, unpredictable and non-deducible on the basis of the previous properties, are defined emergences. Namely emergence means a ?pattern formation? characterized by a self-organizing process driven by non-linear dynamics. This book explores housing market emergence in light of three different phenomena: search for housing, social polarization, and gentrification. The book is divided into two parts. The first part presents contributions on modelling emergence of different phenomena, formalised in multi-agent systems. The second part gathers empirical research and analyses aimed at supporting the findings of the models. 606 $aHousing$xMathematical models 606 $aHousing$xPrices$xMathematical models 606 $aHousing policy 615 0$aHousing$xMathematical models. 615 0$aHousing$xPrices$xMathematical models. 615 0$aHousing policy. 676 $a332.722 701 $aDiappi$b Lidia$0248295 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910438094003321 996 $aEmergent phenomena in housing markets$94202028 997 $aUNINA LEADER 01277oam 2200421zu 450 001 9910140792003321 005 20241212220001.0 010 $a9781424481026 010 $a1424481023 035 $a(CKB)2670000000046398 035 $a(SSID)ssj0000452629 035 $a(PQKBManifestationID)12167317 035 $a(PQKBTitleCode)TC0000452629 035 $a(PQKBWorkID)10471893 035 $a(PQKB)10303447 035 $a(NjHacI)992670000000046398 035 $a(EXLCZ)992670000000046398 100 $a20160829d2010 uy 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$a2010 2nd International Conference on Mechanical and Electrical Technology 210 31$a[Place of publication not identified]$cIEEE$d2010 215 $a1 online resource (808 pages) 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9781424481002 311 08$a1424481007 606 $aTechnological innovations$vCongresses 615 0$aTechnological innovations 676 $a338.06 702 $aIEEE Staff 801 0$bPQKB 906 $aPROCEEDING 912 $a9910140792003321 996 $a2010 2nd International Conference on Mechanical and Electrical Technology$92525493 997 $aUNINA LEADER 04807nam 22006735 450 001 9910410013403321 005 20240322001650.0 010 $a9783030430825 010 $a3030430820 024 7 $a10.1007/978-3-030-43082-5 035 $a(CKB)4100000011223412 035 $a(MiAaPQ)EBC6166870 035 $a(DE-He213)978-3-030-43082-5 035 $a(EXLCZ)994100000011223412 100 $a20200406d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe Art of Modelling the Learning Process $eUniting Educational Research and Practice /$fby Jimmie Leppink 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (276 pages) 225 1 $aSpringer Texts in Education,$x2366-7680 311 08$a9783030430818 311 08$a3030430812 327 $aPart I ? Common Questions -- Chapter 1: Learning Processes -- Chapter 2: Study Designs -- Chapter 3: Statistical Learning -- Chapter 4: Anchoring Narratives -- Part II ? Variable Types -- Chapter 5 ? Pass/Fail and Other Dichotomies -- Chapter 6 ? Multicategory Nominal Choices -- Chapter 7 ? Ordered Performance Categories -- Chapter 8 ? Quantifiable Learning Outcomes -- Part III ? Variable Networks -- Chapter 9 ? Instrument Structures -- Chapter 10 ? Cross-Instrument Communication -- Chapter 11 ? Temporal Structures -- Chapter 12 ? Longitudinal Assessment Networks -- Part IV ? Time Series -- Chapter 13 ? Randomised Controlled Experiments -- Chapter 14 ? Static and Dynamic Group Structures -- Chapter 15 ? Progress Testing in Large Cohorts -- Chapter 16 ? Small Samples and Case Studies -- Part V ? Conclusion -- Chapter 17: General Recommendations. . 330 $aBy uniting key concepts and methods from education, psychology, statistics, econometrics, medicine, language, and forensic science, this textbook provides an interdisciplinary methodological approach to study human learning processes longitudinally. This longitudinal approach can help to acquire a better understanding of learning processes, can inform both future learning and the revision of educational content and formats, and may help to foster self-regulated learning skills. The initial section of this textbook focuses on different types of research questions as well as practice-driven questions that may refer to groups or to individual learners. This is followed by a discussion of different types of outcome variables in educational research and practice, such as pass/fail and other dichotomies, multi-category nominal choices, ordered performance categories, and different types of quantifiable (i.e., interval or ratio level of measurement) variables. For each of these typesof outcome variables, single-measurement and repeated-measurements scenarios are offered with clear examples. The book then introduces cross-sectional and longitudinal interdependence of learning-related variables through emerging network-analytic methods and in the final part the learned concepts are applied to different types of studies involving time series. The book concludes with some general guidelines to give direction to future (united) educational research and practice. This textbook is a must-have for all applied researchers, teachers and practitioners interested in (the teaching of) human learning, instructional design, assessment, life-long learning or applications of concepts and methods commonly encountered in fields such as econometrics, psychology, and sociology to educational research and practice. 410 0$aSpringer Texts in Education,$x2366-7680 606 $aEducational psychology 606 $aLearning, Psychology of 606 $aEducation$xResearch 606 $aStatistics 606 $aMedical education 606 $aEducational Psychology 606 $aInstructional Psychology 606 $aResearch Methods in Education 606 $aApplied Statistics 606 $aMedical Education 615 0$aEducational psychology. 615 0$aLearning, Psychology of. 615 0$aEducation$xResearch. 615 0$aStatistics. 615 0$aMedical education. 615 14$aEducational Psychology. 615 24$aInstructional Psychology. 615 24$aResearch Methods in Education. 615 24$aApplied Statistics. 615 24$aMedical Education. 676 $a370.21 700 $aLeppink$b Jimmie$4aut$4http://id.loc.gov/vocabulary/relators/aut$0943090 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910410013403321 996 $aThe Art of Modelling the Learning Process$92128300 997 $aUNINA