LEADER 02869nam 2200661 a 450 001 9910480318603321 005 20170816144239.0 010 $a1-322-30587-0 010 $a1-4129-7251-5 010 $a1-4522-0672-4 035 $a(CKB)2550000000107909 035 $a(EBL)996290 035 $a(OCoLC)804847645 035 $a(SSID)ssj0000675897 035 $a(PQKBManifestationID)12271754 035 $a(PQKBTitleCode)TC0000675897 035 $a(PQKBWorkID)10689146 035 $a(PQKB)11585674 035 $a(MiAaPQ)EBC996290 035 $a(OCoLC)1007860764 035 $a(StDuBDS)EDZ0000063599 035 $a(EXLCZ)992550000000107909 100 $a20120315d2011 fy| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aSocial class and classism in the helping professions$b[electronic resource] $eresearch, theory, and practice /$fWilliam M. Liu 210 $aThousand Oaks, Calif. ;$aLondon $cSAGE$dc2011 215 $a1 online resource (321 p.) 300 $aDescription based upon print version of record. 311 $a1-4522-3050-1 311 $a1-4129-7250-7 320 $aIncludes bibliographical references and index. 327 $aCover; Contents; Preface; 1 - Introduction; 2 - Social Class, Classism, and Mental and Physical Health; 3 - Problems in Social Class Measurement and Research; 4 - The Social Class Worldview Model; 5 - Social Class and Psychotherapy, Counseling, and Career-Related Issues; 6 - The Impact of Social Class and Classism on Healthy Psychological Development; 7 - Greed, Materialism, and Affluence and Mental Health; 8 - Classism, Inequalities, and Poverty; 9 - Integrating Social Class and Classism Into Training, Education, and Supervision; 10 - Social Class, Classism, Advocacy, and Social Justice 327 $aReferencesIndex; About the Author 330 8 $aThis is a supplementary text that is intended for courses in multicultural counselling/prejudice. The book provides a thorough overview of mental health and social class and how social class and classism affect mental health and seeking treatment. 606 $aCross-cultural counseling 606 $aSocial classes 606 $aClassism 606 $aMental health$xSocial aspects 606 $aSocial service$xSociological aspects 608 $aElectronic books. 615 0$aCross-cultural counseling. 615 0$aSocial classes. 615 0$aClassism. 615 0$aMental health$xSocial aspects. 615 0$aSocial service$xSociological aspects. 676 $a158.30862 676 $a361.060862 700 $aLiu$b William Ming$01051591 801 0$bStDuBDS 801 1$bStDuBDS 906 $aBOOK 912 $a9910480318603321 996 $aSocial class and classism in the helping professions$92482224 997 $aUNINA LEADER 00940nam0-2200301 --450 001 9910883399403321 005 20240906112943.0 100 $a20240906d1901----kmuy0itay5050 ba 101 0 $aita 102 $aIT 105 $aa 001yy 200 1 $aBarbabietole da zucchero e barbabietole da foraggio$enorme per la loro coltivazione$fTito Poggi 205 $a3. ed. riveduta e ampliata 210 $aCasale$cTipografia e litografia C. 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Ma 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (508 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v14758 311 08$a9781071639887 311 08$a1071639889 327 $a -- Enhancing gene set analysis in embedding spaces a novel best match approach. -- Prompt based Learning on Large Protein Language Models Improves Signal Peptide Prediction. -- Decoil Reconstructing extrachromosomal DNA structural heterogeneity from longread sequencing data. -- Privacy Preserving Epigenetic PaceMaker Stronger Privacy and Improved Efficiency. -- Mapping Cell Fate Transition in Space and Time. -- Approximate IsoRank for Scalable Global Alignment of Biological Networks. -- Sequential Optimal Experimental Design of Perturbation Screens Guided by Multimodal Priors. -- Efficient Analysis of Annotation Colocalization Accounting for Genomic Contexts. -- Secure federated Boolean count queries using fully homomorphic cryptography. -- FragXsiteDTI Revealing Responsible Segments in Drug Target Interaction with Transformer Driven Interpretation. -- An integer programming framework for identifying stable components in asynchronous Boolean networks. -- ImputeCC enhances integrative Hi C based metagenomic binning through constrained random walk based imputation. -- Graph based genome inference from Hi C data. -- Meta colored de Bruijn graphs. -- Color Coding for the Fragment Based Docking Design and Equilibrium Statistics of Protein Binding ssRNAs. -- Automated design of efficient search schemes for lossless approximate pattern matching. -- CELL E A Text To Image Transformer for Protein Localization Prediction. -- A Scalable Optimization Algorithm for Solving the Beltway and Turnpike Problems with Uncertain Measurements. -- Overcoming Observation Bias for Cancer Progression Modeling. -- Inferring Metabolic States from Single Cell Transcriptomic Data via Geometric Deep Learning. -- Computing robust optimal factories in metabolic reaction networks. -- Undesignable RNA Structure Identification via Rival Structure Generation and Structure Decomposition. -- Structure and Function Aware Substitution Matrices via Learnable Graph Matching. -- Secure Discovery of Genetic Relatives across Large Scale and Distributed Genomic Datasets. -- GFETM Genome Foundation based Embedded Topic Model for scATAC seq Modeling. -- SEM sized based expectation maximization for characterizing nucleosome positions and subtypes. -- Centrifuger lossless compression of microbial genomes for efficient and accurate metagenomic sequence classification. -- BONOBO Bayesian Optimized sample specific Networks Obtained By Omics data. -- regLM Designing realistic regulatory DNA with autoregressive language models. -- DexDesign A new OSPREY based algorithm for designing de novo D peptide inhibitors. -- Memory bound and taxonomy aware kmer selection for ultra large reference libraries. -- SpaCeNet Spatial Cellular Networks from omics data. -- Discovering and overcoming the bias in neoantigen identification by unified machine learning models. -- MaSk LMM A Matrix Sketching Framework for Linear Mixed Models in Association Studies. -- Community structure and temporal dynamics of viral epistatic networks allow for early detection of emerging variants with altered phenotypes. -- Maximum Likelihood Inference of Time scaled Cell Lineage Trees with Mixed type Missing Data. -- TRIBAL Tree Inference of B cell Clonal Lineages. -- Mapping the topography of spatial gene expression with interpretable deep learning. -- GraSSRep Graph Based Self Supervised Learning for Repeat Detection in Metagenomic Assembly. -- PRS Net Interpretable polygenic risk scores via geometric learning. -- Haplotype aware sequence alignment to pangenome graphs. -- Disease Risk Predictions with Differentiable Mendelian Randomization. -- DIISCO A Bayesian framework for inferring dynamic intercellular interactions from time series single cell data. -- Protein domain embeddings for fast and accurate similarity search. -- Processing bias correction with DEBIAS M improves cross study generalization of microbiome based prediction models. -- VICTree a Variational Inference method for Clonal Tree reconstruction. -- DeST OT Alignment of Spatiotemporal Transcriptomics Data. -- Determining Optimal Placement of Copy Number Aberration Impacted Single Nucleotide Variants in a Tumor Progression History. -- Accurate Assembly of Circular RNAs with TERRACE. -- Semi Supervised Learning While Controlling the FDR With an Application to Tandem Mass Spectrometry Analysis. -- CoRAL accurately resolves extrachromosomal DNA genome structures with long read sequencing. -- A Scalable Adaptive Quadratic Kernel Method for Interpretable Epistasis Analysis in Complex Traits. -- Optimal Tree Metric Matching Enables Phylogenomic Branch Length Estimation. -- Inferring allele specific copy number aberrations and tumor phylogeography from spatially resolved transcriptomics. -- Contrastive Fitness Learning Reprogramming Protein Language Models for Low N Learning of Protein Fitness Landscape. -- Scalable summary statistics based heritability estimation method with individual genotype level accuracy. -- scMulan a multitask generative pre trained language model for single cell analysis. 330 $aThis book constitutes the proceedings of the 28th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2024, held in Cambridge, MA, USA, during April 29?May 2, 2024. The 57 full papers included in this book were carefully reviewed and selected from 352 submissions. They were organized in topical sections as follows: theoretical and foundational algorithm contributions and more applied directions that engage with new technologies and intriguing biological questions. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v14758 606 $aComputer science 606 $aComputer Science 615 0$aComputer science. 615 14$aComputer Science. 676 $a4 700 $aMa$b Jian$0551886 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910861086203321 996 $aResearch in Computational Molecular Biology$94163235 997 $aUNINA