LEADER 01879cam0-2200577---450- 001 990000061830203316 005 20051010085110.0 010 $a88-7947-205-4 035 $a0006183 035 $aUSA010006183 035 $a(ALEPH)000006183USA01 035 $a0006183 100 $a20000914d1998----|||y0itay0103----ba 101 0 $aita 102 $aIT 105 $a||||||||001|| 200 1 $aAnsia, stress e coping nella prospettiva cognitiva$fAnna Maria Asprea, Giulia Villone Betocchi 210 $aNapoli$cGnocchi$dc1998 215 $a113 p.$d21 cm 225 2 $aCollana di psicologia$v7 410 $12001$aCollana di psicologia$v7 606 $aFatica fisica 606 $aFatica mentale 676 $a155.9042$v20 700 1$aASPREA,$bAnna Maria$0126104 701 1$aVILLONE BETOCCHI,$bGiulia$0141914 801 $aIT$bSALBC$gISBD 912 $a990000061830203316 951 $aII.3. 1050b(VI ps B COLL. 153/7 a)$b151135 LM$cVI ps B COLL. 951 $aII.3. 1050a(VI ps B COLL. 153/7 bis)$b151134 LM$cVI ps B COLL. 951 $aII.3. 1050(VI ps B COLL. 153/7)$b151133 LM$cVI ps B COLL. 959 $aBK 969 $aUMA 979 $c20000914$lUSA01$h1728 979 $c20000919$lUSA01$h1047 979 $c20000919$lUSA01$h1520 979 $c20001019$lUSA01$h1055 979 $c20001019$lUSA01$h1453 979 $c20001019$lUSA01$h1500 979 $c20001019$lUSA01$h1538 979 $c20001024$lUSA01$h1513 979 $c20001027$lUSA01$h1518 979 $c20001027$lUSA01$h1522 979 $c20001110$lUSA01$h1709 979 $c20001124$lUSA01$h1207 979 $aPATTY$b90$c20010404$lUSA01$h1032 979 $c20020403$lUSA01$h1613 979 $aPATRY$b90$c20040406$lUSA01$h1605 979 $aCOPAT5$b90$c20051010$lUSA01$h0851 996 $aAnsia Stress e Coping nella prospettiva cognitiva$9505882 997 $aUNISA LEADER 02720nam 22006373u 450 001 9910971807703321 005 20230725050545.0 010 $a9786613152251 010 $a9780857735492 010 $a0857735497 010 $a9781785398506 010 $a1785398504 010 $a9781283152259 010 $a1283152258 010 $a9780857719621 010 $a0857719629 035 $a(CKB)2550000000039736 035 $a(EBL)738295 035 $a(OCoLC)742333550 035 $a(SSID)ssj0000541282 035 $a(PQKBManifestationID)12177734 035 $a(PQKBTitleCode)TC0000541282 035 $a(PQKBWorkID)10498709 035 $a(PQKB)11111302 035 $a(MiAaPQ)EBC5245962 035 $a(Perlego)919629 035 $a(EXLCZ)992550000000039736 100 $a20130610d2011|||| u|| | 101 0 $aeng 181 $ctxt 182 $cc 183 $acr 200 10$aSikhism $eAn Introduction 210 $aLondon $cI.B.Tauris$d2011 215 $a1 online resource (289 p.) 225 0 $aI.B. Tauris introductions to religion Sikhism 300 $aDescription based upon print version of record. 311 08$a9781848853201 311 08$a1848853203 327 $aCover; Contents; Introduction; I. Guru Nanak and the Origins of Sikhism; II. Guru Arjan and the Crystallization of the Skh Faith; Chapter III. Guru Gobind and the Cultivation of Sikh Identity; IV. Sikh Metaphysics, Ethics and Esthetics; V. Worship, Ceremonies and Rites of Passage; VI. Feminist Text in a Patriarchal Context; VII. Colonial Encounters; VIII. Sikh Art; IX. Sikhs in the Diaspora; Glossary of Names and Terms; Illustration, Map and Picture Credits; Select Bibliography; Index 330 $aAlmost from the moment, some five centuries ago, that their religion was founded in the Punjab by Guru Nanak, Sikhs have enjoyed a distinctive identity. This sense of difference, forged during Sikhism's fierce struggles with the Mughal Empire, is still symbolised by the 'Five Ks' ('panj kakar', in Punjabi), those articles of faith to which all baptised Sikhs subscribe: uncut hair bound in a turban; comb; special undergarment; iron bracelet and dagger (or kirpan) - the unique marks of the Sikh military fraternity (the word Sikh means 'disciple' in Punjabi). Yet for all its ongoing attachment to 606 $aSikhism 606 $aSikhism 615 4$aSikhism. 615 0$aSikhism. 676 $a294.6 676 $a294.6 700 $aSingh$b Nikky-Guninder$01814170 702 $aSingh$b Nikky-Guninder Kaur 801 0$bAU-PeEL 801 1$bAU-PeEL 801 2$bAU-PeEL 906 $aBOOK 912 $a9910971807703321 996 $aSikhism$94367841 997 $aUNINA LEADER 03729nam 22005655 450 001 9910447250603321 005 20251113184408.0 010 $a3-030-64511-8 024 7 $a10.1007/978-3-030-64511-3 035 $a(CKB)4100000011643594 035 $a(DE-He213)978-3-030-64511-3 035 $a(MiAaPQ)EBC6421588 035 $a(PPN)252514505 035 $a(EXLCZ)994100000011643594 100 $a20201202d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMathematical and Computational Oncology $eSecond International Symposium, ISMCO 2020, San Diego, CA, USA, October 8?10, 2020, Proceedings /$fedited by George Bebis, Max Alekseyev, Heyrim Cho, Jana Gevertz, Maria Rodriguez Martinez 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (XXII, 119 p. 34 illus., 25 illus. in color.) 225 1 $aLecture Notes in Bioinformatics,$x2366-6331 ;$v12508 311 08$a3-030-64510-X 327 $aInvited -- Plasticity in cancer cell populations: biology, mathematics and philosophy of cancer -- Statistical and Machine Learning Methods for Cancer Research -- CHIMERA: Combining Mechanistic Models and Machine Learning for Personalized Chemotherapy and Surgery Sequencing in Breast Cancer -- Fine-Tuning Deep Learning Architectures for Early Detection of Oral Cancer -- Discriminative Localized Sparse Representations for Breast Cancer Screening -- Activation vs. Organization: Prognostic Implications of T and B cell Features of the PDAC Microenvironment -- On the use of neural networks with censored time-to-event data -- Mathematical Modeling for Cancer Research -- tugHall: a tool to reproduce Darwinian evolution of cancer cells for simulation-based personalized medicine -- General Cancer Computational Biology -- The potential of single cell RNA-sequencing data for the prediction of gastric cancer serum biomarkers -- Poster -- Theoretical Foundation of the Performance of Phylogeny-Based Somatic Variant Detection -- Detecting subclones from spatially resolved RNA-seq data -- Novel driver synonymous mutations in the coding regions of GCB lymphoma patients improve the transcription levels of BCL2. 330 $aThis book constitutes the refereed proceedings of the Second International Symposium on Mathematical and Computational Oncology, ISMCO 2020, which was supposed to be held in San Diego, CA, USA, in October 2020, but was instead held virtually due to the COVID-19 pandemic. The 6 full papers and 4 short papers presented together with 1 invited talk were carefully reviewed and selected from 28 submissions. The papers are organized in topical sections named: statistical and machine learning methods for cancer research; mathematical modeling for cancer research; general cancer computational biology; and posters. 410 0$aLecture Notes in Bioinformatics,$x2366-6331 ;$v12508 606 $aComputer vision 606 $aArtificial intelligence 606 $aBioinformatics 606 $aComputer Vision 606 $aArtificial Intelligence 606 $aComputational and Systems Biology 615 0$aComputer vision. 615 0$aArtificial intelligence. 615 0$aBioinformatics. 615 14$aComputer Vision. 615 24$aArtificial Intelligence. 615 24$aComputational and Systems Biology. 676 $a006.3 702 $aBebis$b George 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910447250603321 996 $aMathematical and computational oncology$92169006 997 $aUNINA