LEADER 02246nam 2200649 a 450 001 9910454433103321 005 20200520144314.0 010 $a1-4462-1794-9 010 $a9786611897611 010 $a1-281-89761-2 010 $a1-84860-862-4 035 $a(CKB)1000000000556403 035 $a(EBL)370538 035 $a(OCoLC)476205925 035 $a(SSID)ssj0000264541 035 $a(PQKBManifestationID)12095324 035 $a(PQKBTitleCode)TC0000264541 035 $a(PQKBWorkID)10291013 035 $a(PQKB)11755841 035 $a(MiAaPQ)EBC370538 035 $a(OCoLC)1007860997 035 $a(StDuBDS)EDZ0000067608 035 $a(PPN)238400700 035 $a(Au-PeEL)EBL370538 035 $a(CaPaEBR)ebr10256911 035 $a(CaONFJC)MIL189761 035 $a(EXLCZ)991000000000556403 100 $a20120405d2003 fy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aUnderstanding modern sociology$b[electronic resource] /$fWes W. Sharrock, John A. Hughes and Peter J. Martin 210 $aLondon $cSAGE$dc2003 215 $a1 online resource (227 p.) 300 $aDescription based upon print version of record. 311 $a0-7619-5706-5 311 $a0-7619-5707-3 320 $aIncludes bibliographical references (p. [205]-215) and index. 327 $aCover; Contents; 1 The Background to Modern Sociology; 2 Functionalism; 3 The Frankfurt School and Critical Theory; 4 Structuralism; 5 Interactionism; 6 Concluding Remarks; Bibliography; Index 330 8 $aThe authors of the bestselling 'Understanding Classical Sociology' present the companion volume dealing with the modern period of social theory. 606 $aSociology$xHistory$y20th century 606 $aSociology 608 $aElectronic books. 615 0$aSociology$xHistory 615 0$aSociology. 676 $a301/.09/04 700 $aSharrock$b W. W$g(Wes W.)$0939660 701 $aHughes$b J. A.$f1941-$0117039 701 $aMartin$b Peter J.$f1947-$01026999 801 0$bStDuBDS 801 1$bStDuBDS 906 $aBOOK 912 $a9910454433103321 996 $aUnderstanding modern sociology$92442218 997 $aUNINA LEADER 00977nam a22002531i 4500 001 991003477389707536 005 20040420153018.0 008 040802s1980 fr a||||||||||||||||fre 035 $ab13080350-39ule_inst 035 $aARCHE-103296$9ExL 040 $aBiblioteca Interfacoltà$bita$cA.t.i. Arché s.c.r.l. Pandora Sicilia s.r.l. 082 04$a305.4209 100 1 $aPernoud, Régine$0387598 245 13$aLa femme au temps des cathédrales /$cRégine Pernoud 260 $aParis :$bStock,$cc1980 300 $a379 p. :$bill. ;$c17 cm 440 3$aLe livre de poche ;$v5690 650 4$aDonne$xPosizione sociale$zFrancia$ySec. 9.-13. 907 $a.b13080350$b02-04-14$c05-08-04 912 $a991003477389707536 945 $aLE002 Fondo Giudici N 352$g1$i2002000341037$lle002$nC. 1$o-$pE0.00$q-$rn$so $t0$u0$v0$w0$x0$y.i13709331$z05-08-04 996 $aFemme au temps des cathédrales$938708 997 $aUNISALENTO 998 $ale002$b05-08-04$cm$da $e-$ffre$gfr $h3$i1 LEADER 06316nam 22006735 450 001 996673175503316 005 20250820130228.0 010 $a3-032-00652-X 024 7 $a10.1007/978-3-032-00652-3 035 $a(CKB)40378381300041 035 $a(MiAaPQ)EBC32266807 035 $a(Au-PeEL)EBL32266807 035 $a(OCoLC)1534191341 035 $a(DE-He213)978-3-032-00652-3 035 $a(EXLCZ)9940378381300041 100 $a20250820d2026 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence in Healthcare $eSecond International Conference, AIiH 2025, Cambridge, UK, September 8?10, 2025, Proceedings, Part I /$fedited by Daniele Cafolla, Timothy Rittman, Hao Ni 205 $a1st ed. 2026. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2026. 215 $a1 online resource (622 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v16038 311 08$a3-032-00651-1 327 $a -- Ethics of AI in healthcare -- Empirical Study of Social Bias in Medical Question Answering via Large Language Models. -- Prompt Injection is All You Need: A Systemic Framework for Evaluating Healthcare Misinformation in LLMs. -- Early diagnosis and prevention -- Beyond Accuracy: Enhancing Parkinson?s Diagnosis with Uncertainty Quantification of Machine Learning Models. -- Feature extraction from medical records to increase the accuracy of intracranial aneurysm rupture likelihood. -- Automated Gross Tumor Volume Segmentation in Meningioma Using Squeeze and Excitation Residual U-Net for Enhanced Radiotherapy Planning. -- Ensemble Models for Real-Time Fetal Monitoring Using Discrete Segmentation of Cardiotocography. -- Knowledge Distillation for Computationally Tractable Brain Tumour Segmentation in Sub-Saharan Africa. -- MICA: A Multimodal Intelligent Cognitive Assessment Framework Integrating Generative AI and Social Robot for Early Cognitive Intervention. -- Transfer Learning-Based Classification of Diabetic Retinopathy Using a Pre-trained InceptionResNet Model. -- Markers of Fibromyalgia: Classification and Subtyping Using Self-Reported Measures. -- Early objective ASD screening system based on eye tracking and machine learning. -- Proactive care and predictive intervention -- Performance comparison of machine learning models for the prediction of dialysis treatment variables. -- Dynamic and explainable mortality risk prediction for TBI patients in the ICU. -- Opportunistic Screening of Osteoporosis from Dental Panoramic Radiographs using Deep Learning. -- Speech Breathing Under Cognitive Load: A Pilot Study of English and Arabic Bilingual Adaptation Using the Helicopter Task. -- Affective State and Pain Estimation through Facial Emotion Analysis. -- Adaptive Biofeedback for Digital Physiotherapy Using Sakoe-Chiba Constrained Pose Matching. -- Predictive analytics in healthcare -- Translating Genes into Insight: Causal Genomics for Diabetes Risk Prediction. -- A machine learning-based surrogate model of a hemodialyzer for the prediction of the urea dialyzer clearance. -- Multimodal generative AI -- CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation. -- DiabEye-Q: AI-driven Longitudinal Analysis of Ophthalmoscopic Images for Early Diabetes Prediction in Qatari Adults. -- Healthcare workflow optimisation and automation -- Concept Type Prompt Patterns for Automated Medical Reporting in Healthcare. -- Exploring applicability of Text-to-Image models for generating aphasia rehabilitation material. -- Evaluating the feasibility of using smaller Large Language Models for generating impressions from findings in radiology reports. -- Machine and deep learning approaches for health data -- A Comparison of Potentials and Limitations of Transformer Models for Aspect-based Medical Sentiment Analysis. -- Intelligent Blood Product Management in Hospital: A Data-Driven Model for Optimizing Platelet Inventory. -- High-Confidence Labelling of Pathology Reports using LLM-Based Unanimous Ensembles with Limited Data. -- Physicochemical-Based Deep Learning for Allergenicity Prediction. -- Multi-Modal Deep Learning with Spatial Transformers for Biparametric MRI Prostate Cancer Classification. -- BCONDS: Borderline Counterfactual Oversampling with Noise elimination and Density Scoring. . 330 $aThe two-volume set constitutes the proceedings of the Second International Conference on Artificial Intelligence in Healthcare, AIiH 2025, which took place in Cambridge, UK, in September 2025. The 60 full papers included in this book were carefully reviewed and selected from 83 submissions. They were organized in topical sections as follows: Health informatics, Personalised Healthcare, Robotics, Assisted Living Technology, Computational Medicine, Long-term Health Conditions, Maternity and Women?s Health and Wellbeing. . 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v16038 606 $aMachine learning 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aInformation technology$xManagement 606 $aArtificial intelligence 606 $aMachine Learning 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aComputer Application in Administrative Data Processing 606 $aArtificial Intelligence 615 0$aMachine learning. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aInformation technology$xManagement. 615 0$aArtificial intelligence. 615 14$aMachine Learning. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aComputer Application in Administrative Data Processing. 615 24$aArtificial Intelligence. 676 $a006.31 700 $aCafolla$b Daniele$01845144 701 $aRittman$b Timothy$01845145 701 $aNi$b Hao$01845146 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996673175503316 996 $aArtificial Intelligence in Healthcare$94428616 997 $aUNISA