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Develin 210 $aBruxelles$cLatomus Revue d'études latines$d1985 215 $a354 p.$d25 cm 225 1 $aCollection Latomus$v188 700 1$aDevelin,$bR.$0155235 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990005872020403321 952 $aP2F-LATOMUS-188$bDip.Disc.St.5598$fFLFBC 952 $aP2F LATOMUS 188 bis$b61566$fFLFBC 959 $aFLFBC 996 $aPractice of politics at Rome 366-167 B.C$9237654 997 $aUNINA LEADER 05702oam 2200745 c 450 001 996308775003316 005 20220221094418.0 010 $a3-8394-3181-6 024 7 $a10.14361/9783839431818 035 $a(CKB)3710000000439834 035 $a(EBL)2097083 035 $a(OCoLC)914433416 035 $a(MiAaPQ)EBC2097083 035 $a(DE-B1597)457951 035 $a(OCoLC)1002253194 035 $a(OCoLC)1004886596 035 $a(OCoLC)1011455115 035 $a(OCoLC)915416883 035 $a(DE-B1597)9783839431818 035 $a(MiAaPQ)EBC6695270 035 $a(Au-PeEL)EBL6695270 035 $a(OCoLC)1135543227 035 $a(ScCtBLL)9cef503d-5166-4215-90eb-45b72f5e0a73 035 $a(transcript Verlag)9783839431818 035 $a(EXLCZ)993710000000439834 100 $a20220221d2015 uy 0 101 0 $ager 135 $aur|n|---||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 00$aLegitimita?t$eGesellschaftliche, politische und wissenschaftliche Bruchlinien der Rechtfertigung$fMaria Dammayr, Doris Graß, Barbara Rothmu?ller 205 $a1st ed. 210 $aBielefeld$ctranscript Verlag$d2015 215 $a1 online resource (367 p.) 225 0 $aSozialtheorie 300 $aDescription based upon print version of record. 311 $a3-8376-3181-8 327 $aFrontmatter 1 Inhalt 5 Legitimita?t und Legitimierung in der sozialwissenschaftlichen Debatte: eine Einfu?hrung in Theorien der Rechtfertigung und Kritik von Herrschaft 7 Die Unangemessenheit des »demokratischen Versprechens« - zur Bru?chigkeit der politischen Rechtfertigungsordnung 27 Scho?ne Geschichten? Legitimation und Zwang in der europa?ischen Krisenpolitik 49 Finanzkrise ohne Legitimationskrise? Kapitalismuskritik in der deutschen Qualita?tspresse 73 Krise der deutschen Nation? Legitimierung politischer Zugeho?rigkeit am Beispiel Deutschlands 95 Angeboren oder erworben? Eine Pilotstudie u?ber die o?ffentliche Anerkennung der genetischen Verursachung menschlicher (Verhaltens-)Eigenschaften 117 Legitimita?t und Gehorsam 135 Die Legitimation sozialer Ungleichheit - Bildung, Status und die Akzeptanz von Ungleichheit auf Basis des meritokratischen Prinzips 153 Die Gerechtigkeit der Spitze. U?ber die Rechtfertigung von Exzellenz im deutschen Bildungsdiskurs 177 Die Legitimation einer Gesamtschule: Historische Bruchlinien und Randzonen von Gleichheit in der Debatte um das »Paradepferd sozialistischer Bildungspolitik« 199 Produktion und Legitimation von Bildungsungleichheiten in der Migrationsgesellschaft 227 Die Legitimierung von Leistung als arbeitsweltliche Anforderung - eine diskursanalytische Betrachtung 249 Gerechtigkeitsanspru?che und Kritik in Arbeit und Betrieb 269 Bildungsarbeit im Spiegel von Rechtfertigung und Kritik: U?berlegungen zur Spezifita?t normativer Deutungsmuster im Feld schulischer Leistungspolitiken 289 »Menschlichkeit pflegen« - Legitimita?t und Gerechtigkeit in den Leistungsanforderungen der Altenpflege aus Sicht der Bescha?ftigten 315 »Bei uns hat sich noch keine beworben.« Legitimierung von Berufseinstiegsbarrieren fu?r Technikerinnen 341 Autorinnen und Autoren 359 Backmatter 363 330 $aOb Finanz-, Pflege- oder Bildungskrise - aktuelle Krisen bergen das Potenzial, die Legitimita?t von Herrschaft zu vera?ndern. Die Stabilita?t von Legitimationsmustern ist gesellschaftlich, politisch und wissenschaftlich umka?mpft und historisch jeweils neu zu reflektieren: Werden Formen der Legitimation etwa von Demokratie, Leistung, sozialen Ungleichheiten und Wahrheits- oder Herrschaftsanspru?chen bru?chig? Entstehen in Krisendiskursen neue Deutungshorizonte oder gewinnen bislang als selbstversta?ndlich akzeptierte Rechtfertigungsmuster an neuer U?berzeugungskraft? Die Beitra?ge des Bandes untersuchen die Herausbildung und den Verlauf von Bruchlinien der Rechtfertigung in so unterschiedlichen Bereichen wie Politik, Wirtschaft und Arbeit, Bildung, Wissenschaft und Medien. 330 1 $a»Insgesamt haben die Herausgeberinnen einen thematisch breiten und erfreulich reflektierten Band zur ?Rechtfertigung und Kritik von Herrschaft? in Krisenzeiten vorgelegt.« Hendrik Simon, Portal fu?r Politikwissenschaft, 12.11.2015 410 0$aSozialtheorie. 606 $aLegitimation; Normative Ordnungen; Ungleichheit; Ungerechtigkeit; Politik; Gesellschaft; Politische Soziologie; Demokratie; Soziale Ungleichheit; Politikwissenschaft; Soziologie; Normative Orders; Inequality; Injustice; Politics; Society; Political Sociology; Democracy; Social Inequality; Political Science; Sociology; 610 $aDemocracy. 610 $aInequality. 610 $aInjustice. 610 $aNormative Orders. 610 $aPolitical Science. 610 $aPolitical Sociology. 610 $aPolitics. 610 $aSocial Inequality. 610 $aSociety. 610 $aSociology. 615 4$aLegitimation; Normative Ordnungen; Ungleichheit; Ungerechtigkeit; Politik; Gesellschaft; Politische Soziologie; Demokratie; Soziale Ungleichheit; Politikwissenschaft; Soziologie; Normative Orders; Inequality; Injustice; Politics; Society; Political Sociology; Democracy; Social Inequality; Political Science; Sociology; 676 $a363.20942 686 $aMD 3550$2rvk 702 $aDammayr$b Maria$4edt 702 $aGraß$b Doris$4edt 702 $aRothmu?ller$b Barbara$4edt 801 0$bDE-B1597 801 1$bDE-B1597 906 $aBOOK 912 $a996308775003316 996 $aLegitimität$91938031 997 $aUNISA LEADER 01152nam a2200277 i 4500 001 991001339689707536 008 891212s2002 it a b 001 0 ita d 020 $a8806115995 035 $ab13357591-39ule_inst 040 $aDip.to Filologia Class. e Scienze Filosofiche$bita 082 0 $a720.945 100 1 $aCiucci, Giorgio$0287476 245 14$aGli architetti e il fascismo :$barchitettura e cittá, 1922-1944 /$cGiorgio Ciucci 260 $aTorino :$bEinaudi,$cc2002 300 $aXXIV, 222 p., [80] p. di tav. :$bill. ;$c19 cm 440 0$aPiccola Biblioteca Einaudi.$pNuova Serie ;$v189 440 0$aPiccola Biblioteca Einaudi$pArte. Architettura. Teatro. Cinema. Musica 504 $aContiene riferimenti bibliografici. Indici 650 4$aFascismo e architettura$zItalia 650 4$aArchitettura$zItalia$ySec. 20. 907 $a.b13357591$b16-05-16$c22-11-05 912 $a991001339689707536 945 $aLE007 720 CIU 01.01$g1$i2007000098363$lle007$op$pE20.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i14155928$z22-11-05 996 $aArchitetti e il fascismo$9350075 997 $aUNISALENTO 998 $ale007$b22-11-05$cm$da $e-$fita$git $h4$i0 LEADER 00914nam a2200229 i 4500 001 991003022599707536 005 20021022144856.0 008 960610s1953 us ||| | eng 035 $ab11743499-39ule_inst 035 $aLE021FD224706$9ExL 040 $aDip. SSSC$bita 100 1 $aKolodin, Irving$0530081 245 14$aThe story of the metropolitan opera 1883-1950 :$ba candid history /$cIrving Kolodin 260 $aNew York :$bAlfred A. 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Introduction; 2. William Herschel opens up the invisible universe; 3. 1800-1950: slow progress - the moon, planets, bright stars, and the discovery of interstellar dust; 4. Dying stars shrouded in dust and stars being born: the emergence of infrared astronomy in the 60s and 70s; 5. Birth of far infrared and submillimetre astronomy: clouds of dust and molecules in our Galaxy; 6. The cosmic microwave background, echo of the Big Bang; 7. The Infrared Astronomical Satellite and the opening up of extragalactic infrared astronomy: starbursts and active galactic nuclei; 8. The Cosmic Background Explorer and the ripples, the Wilkinson Microwave Anisotropy Explorer, and dark energy; 9. Giant ground-based infrared and submillimetre telescopes; 10. The Infrared Space Observatory and the Spitzer Space Telescope: the star-formation history of the universe and infrared galaxy populations; 11. Our dusty Solar System, debris disks and the search for exoplanets; 12. The future: pioneering space missions and giant ground-based telescopes; Notes; Credits for illustrations; Further reading; Bibliography; Glossary; Index of names; Index. 330 $aDrawing on exciting discoveries of the last forty years, Night Vision explores how infrared astronomy, an essential tool for modern astrophysics and cosmology, helps astronomers reveal our Universe's most fascinating phenomena - from the birth of stars in dense clouds of gas to black holes and distant colliding galaxies and the traffic of interstellar dust from the formation of our Solar System. While surveying the progress in infrared observation, astronomer Michael Rowan-Robinson introduces readers to the pioneering scientists and engineers who painstakingly developed infrared astronomy over the past two hundred years. Accessible and well illustrated, this comprehensive volume is written for the interested science reader, amateur astronomer or university student, while researchers in astronomy and the history of science will find Rowan-Robinson's detailed notes and references a valuable resource. 606 $aInfrared astronomy 615 0$aInfrared astronomy. 676 $a522/.683 686 $aSCI004000$2bisacsh 700 $aRowan-Robinson$b Michael$050280 801 0$bUkCbUP 801 1$bUkCbUP 906 $aBOOK 912 $a9910815623903321 996 $aNight vision$94028642 997 $aUNINA LEADER 11185nam 2200565 450 001 9910830080803321 005 20240228205951.0 010 $a1-119-81902-4 010 $a1-119-51730-3 035 $a(MiAaPQ)EBC7244336 035 $a(Au-PeEL)EBL7244336 035 $a(OCoLC)1378392467 035 $a(EXLCZ)9926561916800041 100 $a20230618d2023 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMultiscale Modelling in Biomedical Engineering /$fAntonis I. Sakellarios, Vassiliki T. Potsika, and Dimitrios I. Fotiadis 210 1$aHoboken, New Jersey :$cJohn Wiley & Sons, Inc.,$d[2023] 210 4$d©2023 215 $a1 online resource (402 pages) 225 1 $aIEEE Press Series on Biomedical Engineering Series 311 08$aPrint version: Sakellarios, Antonis I. Multiscale Modelling in Biomedical Engineering Newark : John Wiley & Sons, Incorporated,c2023 9781119517344 320 $aIncludes bibliographical references and index. 327 $aCover -- Title Page -- Copyright Page -- Contents -- Author Biographies -- Preface -- List of Abbreviations -- List of Terms -- Chapter 1 Systems Biology and Multiscale Modeling -- 1.1 Introduction -- 1.2 Systems Biology -- 1.3 Systems Biology Modeling Goals -- 1.4 Systems Biology Modeling Approach -- 1.5 Application of Multiscale Methods in Systems Biology -- 1.5.1 Introduction -- 1.6 The Use of Systems Biology and Multiscale Modeling in Biomedical and Medical Science -- 1.7 Application of Computational Methods in Biomedical Engineering -- 1.7.1 Fundamental Principles -- 1.7.2 Finite Element Method -- 1.7.3 Boundary Element Method -- 1.7.4 Finite Differences Method -- 1.8 Challenges -- References -- Chapter 2 Biomedical Imaging -- 2.1 Introduction -- 2.2 X-ray Radiography -- 2.2.1 X-ray Interaction with Tissues -- 2.2.2 Medical Applications of X-rays -- 2.3 Computed Tomography -- 2.3.1 The Principle of CT Imaging -- 2.3.2 The Evolution of CT Scanners -- 2.3.3 Medical Applications of CT Imaging -- 2.3.3.1 Application of CT Imaging in Cancer -- 2.3.3.2 Application of CT Imaging in Lungs -- 2.3.3.3 Application of CT Imaging in Cardiovascular Disease -- 2.3.3.4 Application of CT Imaging in Other Fields -- 2.3.4 Radiation of CT Imaging -- 2.4 Diagnostic Ultrasound -- 2.4.1 The Principle of US -- 2.4.2 Medical Applications of US -- 2.5 Magnetic Resonance Imaging -- 2.5.1 MRI Principle -- 2.5.2 Medical Applications of MRI -- 2.6 Positron Emission Tomography (PET) -- 2.6.1 The Principle of PET -- 2.6.2 Medical Applications of PET -- 2.7 Single Photon Emission Computed Tomography -- 2.7.1 The Principle of SPECT -- 2.7.2 Medical Applications of SPECT -- 2.8 Endoscopy -- 2.8.1 Medical Applications of Endoscopy -- 2.9 Elastography -- 2.9.1 Elastographic Techniques -- 2.9.2 Elastographic Medical Applications -- 2.10 Conclusions and Future Trends. 327 $aReferences -- Chapter 3 Computational Modeling at Molecular Level -- 3.1 Introduction -- 3.2 Introduction to Molecular Mechanics -- 3.2.1 Chemical Formulas -- 3.2.2 Molecular Structure and Polarity -- 3.2.2.1 Mathematical Modeling of Polarizing Biochemical Systems -- 3.3 Molecular Bioengineering in Areas Critical to Human Health -- 3.3.1 Cell Biology -- 3.3.1.1 Biology of Growth Factor Systems -- 3.3.2 Diagnostic Medicine -- 3.3.2.1 Lab-on-a-Chip Devices -- 3.3.2.2 Biosensors -- 3.3.3 Preventive Medicine -- 3.3.4 Therapeutic Medicine -- 3.3.4.1 Drug Delivery -- 3.3.4.2 Tissue Engineering -- References -- Chapter 4 Computational Modeling at Cell Level -- 4.1 Introduction -- 4.2 Introduction to Cell Mechanics -- 4.2.1 Cell Material Properties -- 4.2.2 Cell Composition and Structure -- 4.3 Cellular Bioengineering in Areas Critical to Human Health -- 4.3.1 Biology -- 4.3.2 Diagnostic Medicine -- 4.3.2.1 Organ Chip Technology -- 4.3.2.2 Mechanosensors -- 4.3.3 Therapeutic Medicine -- 4.3.3.1 Drug Delivery -- 4.3.3.2 Tissue Engineering -- 4.3.4 P4 Medicine -- References -- Chapter 5 Computational Modeling at Tissue Level -- 5.1 Introduction -- 5.2 Epithelial Tissue -- 5.2.1 Composition and Properties of Epithelial Tissue -- 5.2.2 Computational Modeling of Epithelial Tissue -- 5.3 Connective Tissue -- 5.3.1 Composition and Properties of Connective Tissue -- 5.3.2 Computational Modeling of Connective Tissue -- 5.4 Muscle Tissue -- 5.4.1 Composition and Properties of Muscle Tissue -- 5.4.2 Computational Modeling of Muscle Tissue -- 5.4.2.1 Computational Modeling of Skeletal Muscle Tissue -- 5.4.2.2 Computational Modeling of Smooth Muscle Tissue -- 5.4.2.3 Computational Modeling of Cardiac Muscle Tissue -- 5.4.2.4 Musculotendon Models -- 5.5 Nervous Tissue -- 5.5.1 Computational Modeling of Brain Tissue -- 5.5.2 Computational Modeling of the Spinal Cord Tissue. 327 $a5.5.3 Computational Modeling of Peripheral Nerves -- 5.6 Conclusion -- References -- Chapter 6 Macroscale Modeling at the Organ Level -- 6.1 Introduction -- 6.2 The Respiratory System -- 6.2.1 Computational Modeling of the Respiratory System -- 6.3 The Digestive System -- 6.3.1 Computational Modeling of the Digestive System -- 6.4 The Cardiovascular System -- 6.4.1 Computational Modeling of the Cardiovascular System -- 6.5 The Urinary System -- 6.5.1 Computational Modeling of the Urinary System -- 6.6 The Integumentary System -- 6.6.1 Computational Modeling of the Integumentary System -- 6.7 The Musculoskeletal System -- 6.7.1 Introduction to the Skeletal System -- 6.7.2 Introduction to the Muscular System -- 6.7.3 Computational Modeling of the Muscular-Skeletal System -- 6.8 The Endocrine System -- 6.8.1 Computational Modeling of the Endocrine System -- 6.9 The Lymphatic System -- 6.9.1 Computational Modeling of the Lymphatic System -- 6.10 The Nervous System -- 6.10.1 Computational Modeling of the Nervous System -- 6.11 The Reproductive System -- 6.11.1 Computational Modeling of the Reproductive System -- 6.12 Conclusion -- References -- Chapter 7 Mechanotransduction Perspective, Recent Progress and Future Challenges -- 7.1 Introduction -- 7.2 Methods for Studying Mechanotransduction -- 7.2.1 How Mechanical Forces Are Detected -- 7.2.2 Transmission of Mechanical Forces -- 7.2.3 Conversion of Mechanical Forces to Signals -- 7.3 Mathematical Models of Mechanotransduction -- 7.3.1 ODE Based Computational Model -- 7.3.2 PDE Based Computational Model -- 7.3.2.1 Mechanical Factors that Affect Cell Differentiation and Proliferation -- 7.3.2.2 A Case Example of Multi-Scale Modeling Cell Differentiation and Proliferation -- 7.3.3 Methodology of a Hybrid Multi-Scale Approach -- 7.3.3.1 The Agent-Based Model (ABM) -- 7.3.3.2 Mechanical Model -- 7.4 Challenges. 327 $aReferences -- Chapter 8 Multiscale Modeling of the Musculoskeletal System -- 8.1 Introduction -- 8.2 Structure of the Musculoskeletal System -- 8.2.1 Structure of the Skeletal System Components -- 8.2.2 Structure of the Muscular System Components -- 8.3 Elasticity -- 8.4 Mechanical Characteristics of Muscles -- 8.5 Multiscale Modeling Approaches of the Musculoskeletal System -- 8.5.1 Multiscale Modeling of Bones -- 8.5.2 Multiscale Modeling of Articular Cartilage -- 8.5.3 Multiscale Modeling of Tendons and Ligaments -- 8.5.3.1 Advances in Multiscale Modeling of Tendons -- 8.5.3.2 Advances in Multiscale Modeling of Ligaments -- 8.5.4 Multiscale Modeling of the Skeletal Muscle -- 8.5.5 Multiscale Modeling of the Smooth Muscle -- 8.6 Conclusion -- References -- Chapter 9 Multiscale Modeling of Cardiovascular System -- 9.1 Introduction -- 9.2 Cardiovascular Mechanics -- 9.2.1 Visualization of the Cardiovascular System and 3D Arterial Reconstruction -- 9.2.2 Blood Flow Modeling -- 9.2.2.1 Steady and Pulsatile Flow of Blood -- 9.2.2.2 Computational Fluid Dynamics Modeling -- 9.2.2.3 Newtonian and Non-Newtonian Behavior of Blood -- 9.2.3 Plaque Growth Modeling -- 9.2.4 Agent-Based Modeling -- 9.2.4.1 Key Components of Agent-Based Modelling -- 9.2.4.2 Agent-Based Modelling and Simulation Approach -- 9.2.4.3 Problem Definition -- 9.2.4.4 ABM Applications in Cardiovascular Systems -- 9.2.5 Discrete Particle Dynamics -- 9.2.6 Multiscale Model of Drug Delivery/Restenosis -- 9.2.6.1 Benefits of Multiscale Model of Drug Delivery/Restenosis -- 9.3 Conclusions -- References -- Chapter 10 Risk Prediction -- 10.1 Introduction -- 10.2 Medical Data Preprocessing -- 10.2.1 Data Sharing -- 10.2.2 Data Harmonization -- 10.3 Machine Learning and Data Mining -- 10.3.1 Supervised Learning Algorithms -- 10.3.1.1 Regression Analysis -- 10.3.1.2 Support Vector Machines. 327 $a10.3.1.3 Naïve Bayes -- 10.3.1.4 Decision Trees -- 10.3.1.5 Ensemble Classifiers -- 10.3.1.6 Artificial Neural Networks -- 10.3.1.7 K-Means -- 10.3.1.8 Spectral Clustering -- 10.3.1.9 Hierarchical Clustering -- 10.4 Explainable Machine Learning -- 10.4.1 Transparency -- 10.4.2 Evaluation and Types of Explanation -- 10.5 Example of Predictive Models in Cardiovascular Disease -- 10.6 Conclusion -- References -- Chapter 11 Future Trends -- 11.1 Virtual Populations -- 11.1.1 Methods for Virtual Population Generation -- 11.1.2 A Methodological Approach for a Virtual Population -- 11.1.2.1 Multivariate Log-Normal Distribution (log-MVND) -- 11.1.2.2 Supervised Tree Ensembles -- 11.1.2.3 Unsupervised Tree Ensembles -- 11.1.2.4 Radial Basis Function-Based Artificial Neural Networks -- 11.1.2.5 Bayesian Networks -- 11.1.2.6 Performance Evaluation of the Quality of the Generated Virtual Patient Data -- 11.1.3 A Novel Approach for a Virtual Population Combining Multiscale Modeling -- 11.2 Digital Twins -- 11.2.1 Ecosystem of the Digital Twin for Health -- 11.2.2 An Example Workflow of a Digital Twin -- 11.3 Integrating Multiscale Modeling and Machine Learning -- 11.3.1 Physics-Informed NN (PINN) -- 11.3.2 Deep NN Algorithms Inspired by Statistical Physics and Information Theory -- 11.4 Conclusion and Future Trends -- References -- Index -- EULA. 330 $a"The book begins with a description of the relationship between multiscale modeling and systems biology before moving on to proceed systematically upwards in hierarchical levels from the molecular to the cellular, tissue, and organ level. It then examines multiscale modeling applications in specific functional areas, like mechanotransduction, musculoskeletal, and cardiovascular systems." 410 0$aIEEE Press series in biomedical engineering. 606 $aBiomedical engineering$xMathematical models 606 $aBiomedical engineering$xComputer simulation 606 $aBiomedical engineering$xMathematics 615 0$aBiomedical engineering$xMathematical models. 615 0$aBiomedical engineering$xComputer simulation. 615 0$aBiomedical engineering$xMathematics. 676 $a610.28 700 $aSakellarios$b Antonis I.$01672757 702 $aPotsika$b Vassiliki T. 702 $aFotiadis$b Dimitrios I. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910830080803321 996 $aMultiscale Modelling in Biomedical Engineering$94036309 997 $aUNINA LEADER 02437nam 2200481 450 001 9910141416303321 005 20240213154946.0 010 $a88-15-30960-8 024 70$a10.978.8815/309600 035 $a(CKB)2670000000233295 035 $a(NjHacI)992670000000233295 035 $a(EXLCZ)992670000000233295 100 $a20240213d2012 uy 0 101 0 $aita 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 12$aL'autismo $eDalla diagnosi al trattamento /$fStefano Vicari, Giovanni Valeri, Leonardo Fava 210 1$aBologna :$cSocieta? editrice il Mulino, Spa,$d2012. 215 $a1 online resource (304 pages) 225 1 $aAspetti della psicologia 320 $aIncludes bibliographical references. 327 $aRingraziamenti -- Premessa -- PARTE PRIMA. LA DIAGNOSI -- Capitolo primo La clinica -- Capitolo secondo La neuropsicologia e la dimensione intersoggettiva -- Capitolo terzo La valutazione -- PARTE SECONDA. IL TRATTAMENTO -- Capitolo quarto Gli interventi terapeutici nei disturbi dello spettro autistico -- Capitolo quinto Un modello di terapia: «Una breccia nel muro» -- Conclusioni -- Riferimenti bibliografici. 330 $aI disturbi dello spettro autistico sono relativamente frequenti - colpiscono circa un bambino ogni 150 nati - e risultano piu? comuni in eta? pediatrica di tumori, del diabete e dell'AIDS messi insieme. Negli ultimi anni questo tipo di disturbi ha ricevuto crescente attenzione con diverse proposte di trattamento, non sempre efficaci e scientificamente fondate. Questo volume affronta l'autismo nella sua complessita? e fornisce gli strumenti piu? aggiornati sia per una diagnosi attendibile sia per trattamenti basati su prove scientifiche, secondo le linee guida pubblicate dall'Istituto Superiore di Sanita?. 410 0$aAggiornamenti.$pAspetti della psicologia. 517 $aL'autismo 606 $aAutism$xTreatment 606 $aPsychotherapy 606 $aCounseling psychology 615 0$aAutism$xTreatment. 615 0$aPsychotherapy. 615 0$aCounseling psychology. 676 $a616.85882 700 $aVicari$b Stefano$f1982-$01592790 702 $aValeri$b Giovanni 702 $aFava$b Leonardo 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910141416303321 996 $aL'autismo$93912321 997 $aUNINA