LEADER 00901nam0-22003011i-450 001 990005872020403321 005 20210923165336.0 010 $a2-87031-128-1 035 $a000587202 035 $aFED01000587202 035 $a(Aleph)000587202FED01 035 $a000587202 100 $a20000301d1985----km-y0itay50------ba 101 0 $aENG 105 $ay-------001yy 200 1 $a<>practice of politics at Rome 366-167 B.C.$fR. 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 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 01252nam a2200289 i 4500 001 991000971889707536 008 050419s2004 it b 001 0 ita d 020 $a8834844416 035 $ab13301007-39ule_inst 040 $aDip.to Studi Giuridici$bita 082 0 $a346.45045$221 100 1 $aUrbani, Paolo$09002 245 10$aDiritto urbanistico :$borganizzazione e rapporti /$cPaolo Urbani, Stefano Civitarese Matteucci 250 $a3. ed 260 $aTorino :$bG. Giappichelli,$cc2004 300 $axvii, 399 p. ;$c24 cm +$e1 CD-ROM 504 $aInclude riferimenti bibliografici (p. [391]-393) e indice 650 4$aUrbanistica$zItalia$xLegislazione 650 4$aEdilizia$zItalia$xLegislazione 700 1 $aCivitarese Matteucci, Stefano$eauthor$4http://id.loc.gov/vocabulary/relators/aut$09003 907 $a.b13301007$b02-09-09$c19-04-05 912 $a991000971889707536 945 $aLE029 344 URB01.01$g1$i2029000006735$lle029$op$pE30.00$q-$rn$so $t0$u1$v0$w1$x0$y.i14293833$z19-09-06 945 $aLE027 346.45 URB01.01$g1$i2027000098286$lle027$o-$pE28.41$q-$rl$s- $t0$u9$v3$w9$x0$y.i1405291x$z19-04-05 996 $aDiritto urbanistico$9112939 997 $aUNISALENTO 998 $ale029$ale027$b19-04-05$cm$da $e-$fita$git $h0$i2 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 Naďve 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