LEADER 03660nam 2200637Ia 450 001 9910143311803321 005 20170809173702.0 010 $a1-280-74845-1 010 $a9786610748457 010 $a0-470-76257-8 010 $a1-4443-1289-8 010 $a1-4051-7172-3 035 $a(CKB)1000000000341872 035 $a(EBL)284225 035 $a(OCoLC)476033645 035 $a(SSID)ssj0000117860 035 $a(PQKBManifestationID)11146033 035 $a(PQKBTitleCode)TC0000117860 035 $a(PQKBWorkID)10050118 035 $a(PQKB)10767640 035 $a(MiAaPQ)EBC284225 035 $a(EXLCZ)991000000000341872 100 $a20050311d2005 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aCardiovascular imaging$b[electronic resource] $ea handbook for clinical practice /$fedited by Jeroen J. Bax ... [et al.] 210 $aMalden, MA $cBlackwell Pub.$d2005 215 $a1 online resource (312 p.) 225 1 $aThe ESC educational series 300 $aDescription based upon print version of record. 311 $a1-4051-3131-4 320 $aIncludes bibliographical references and index. 327 $aList of contributors; Preface; Foreword; Section one: Valve disease; CHAPTER 1 Mitral stenosis; CHAPTER 2 Mitral regurgitation; CHAPTER 3 Aortic stenosis; CHAPTER 4 Aortic regurgitation; CHAPTER 5 Aortic dissection; CHAPTER 6 Evaluation of prosthetic heart valves; CHAPTER 7 Echocardiography in infective endocarditis; Section two: Coronary artery disease; CHAPTER 8 Coronary imaging and screening; CHAPTER 9 Diagnosis and prognosis in patients with chest pain; CHAPTER 10 Peripheral vascular disease; CHAPTER 11 Risk stratification post-infarction 327 $aCHAPTER 12 Risk stratification before non-cardiac surgerySection three: Heart failure; CHAPTER 13 Acute dyspnea (diastolic, systolic LV dysfunction, and pulmonary embolism); CHAPTER 14 Echocardiographic evaluation of patients with chronic dyspnea; CHAPTER 15 Resynchronization therapy; CHAPTER 16 Hypertrophic cardiomyopathy; CHAPTER 17 Viability in ischemic cardiomyopathy; Section four: Uncommon entities; CHAPTER 18 Cardiac tumors; CHAPTER 19 Evaluation of the transplanted heart; CHAPTER 20 Unusual cardiomyopathies - role of cardiac magnetic resonance imaging 327 $aCHAPTER 21 Myocarditis and pericardial diseaseCHAPTER 22 Congenital heart disease; Index 330 $aThis book is focused on the use of non-invasive imaging in clinical cardiology. Its central theme is the use of different imaging modalities in the routine clinical problems that physicians encounter on a regular basis. Many different clinical issues are discussed, including valvular disease, coronary artery disease, and myocardial and pericardial disease. In these various pathologies, the applications of echocardiography, nuclear imaging, CMR and MSCT are highlighted. The majority of chapters are illustrated with a clinical case study and with moving images, which are contained o 410 0$aESC education series. 606 $aHeart$xImaging$vHandbooks, manuals, etc 606 $aCardiovascular system$xImaging$vHandbooks, manuals, etc 608 $aElectronic books. 615 0$aHeart$xImaging 615 0$aCardiovascular system$xImaging 676 $a616.10754 676 $a616.120754 701 $aBax$b Jeroen J$0946863 712 02$aEuropean Society of Cardiology. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910143311803321 996 $aCardiovascular imaging$92139178 997 $aUNINA LEADER 03836nam 22007815 450 001 9910373893803321 005 20250626163853.0 010 $a3-030-36540-9 024 7 $a10.1007/978-3-030-36540-0 035 $a(CKB)4100000010118950 035 $a(DE-He213)978-3-030-36540-0 035 $a(MiAaPQ)EBC6027581 035 $a(PPN)242847447 035 $a(EXLCZ)994100000010118950 100 $a20200123d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$a11th International Symposium on High-Temperature Metallurgical Processing /$fedited by Zhiwei Peng, Jiann-Yang Hwang, Jerome P. Downey, Dean Gregurek, Baojun Zhao, Onuralp Yücel, Ender Keskinkilic, Tao Jiang, Jesse F. White, Morsi Mohamed Mahmoud 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (XXV, 1049 p. 595 illus., 425 illus. in color.) 225 1 $aThe Minerals, Metals & Materials Series,$x2367-1696 300 $aIncludes index. 311 08$a3-030-36539-5 330 $aIn recent years, global metallurgical industries have experienced fast and prosperous growth. High-temperature metallurgical technology is the backbone to support the technical, environmental, and economical needs for this growth. This collection features contributions covering the advancements and developments of new high-temperature metallurgical technologies and their applications to the areas of processing of minerals; extraction of metals; preparation of refractory and ceramic materials; sintering and synthesis of fine particles; treatment and recycling of slag and wastes; and saving of energy and protection of environment. The volume will have a broad impact on the academics and professionals serving the metallurgical industries around the world. . 410 0$aThe Minerals, Metals & Materials Series,$x2367-1696 606 $aMetals 606 $aMaterials$xAnalysis 606 $aManufactures 606 $aMaterials 606 $aOrganometallic chemistry 606 $aMetals and Alloys 606 $aCharacterization and Analytical Technique 606 $aMachines, Tools, Processes 606 $aMaterials Engineering 606 $aOrganometallic Chemistry 615 0$aMetals. 615 0$aMaterials$xAnalysis. 615 0$aManufactures. 615 0$aMaterials. 615 0$aOrganometallic chemistry. 615 14$aMetals and Alloys. 615 24$aCharacterization and Analytical Technique. 615 24$aMachines, Tools, Processes. 615 24$aMaterials Engineering. 615 24$aOrganometallic Chemistry. 676 $a620.11217 676 $a620.11217 702 $aPeng$b Zhiwei$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHwang$b Jiann-Yang$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDowney$b Jerome P.$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGregurek$b Dean$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZhao$b Baojun$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aYu?cel$b Onuralp$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKeskinkilic$b Ender$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aJiang$b Tao$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWhite$b Jesse F.$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMahmoud$b Morsi Mohamed$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910373893803321 996 $a11th International Symposium on High-Temperature Metallurgical Processing$92513537 997 $aUNINA LEADER 04205nam 22007455 450 001 9910865264203321 005 20251225202141.0 010 $a9783031611407 010 $a3031611403 024 7 $a10.1007/978-3-031-61140-7 035 $a(MiAaPQ)EBC31359048 035 $a(Au-PeEL)EBL31359048 035 $a(CKB)32200402800041 035 $a(DE-He213)978-3-031-61140-7 035 $a(OCoLC)1437273031 035 $a(EXLCZ)9932200402800041 100 $a20240530d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence for Neuroscience and Emotional Systems $e10th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2024, Olhâo, Portugal, June 4?7, 2024, Proceedings, Part I /$fedited by José Manuel Ferrández Vicente, Mikel Val Calvo, Hojjat Adeli 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (560 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v14674 311 08$a9783031611391 311 08$a303161139X 327 $aMachine learning in neuroscience -- artificial intelligence in neurophysiology -- neuromotor and cognitive disorders -- intelligent systems for assessment, treatment, and assistance in early stages of Alzheimer's disease and other dementias -- socio-cognitive, affective and physiological computing -- affective computing and context awareness in ambientintelliigence -- learning tools to lecture. 330 $aThe two volume set LNCS 14674 and 14675 constitutes the proceedings of the 10th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2024, which took place in Olhâo, Portugal, during June 4?7, 2024. The 99 full papers presented in these proceedings were carefully reviewed and selected from 193 submissions. They were organized in topical sections as follows: Part I: Machine learning in neuroscience; artificial intelligence in neurophysiology; neuromotor and cognitive disorders; intelligent systems for assessment, treatment, and assistance in early stages of Alzheimer's disease and other dementias; socio-cognitive, affective and physiological computing; affective computing and context awareness in ambientintelliigence; learning tools to lecture; Part II: Machine learning in computer vision and robotics; bio-inspired computing approaches; social and civil engineering through human AI translations; smart renewable energies: advancing AI algorithms in the renewable energy industry; bioinspired applications. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v14674 606 $aComputer science 606 $aComputer networks 606 $aArtificial intelligence 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aSocial sciences$xData processing 606 $aTheory of Computation 606 $aComputer Communication Networks 606 $aArtificial Intelligence 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aComputer Application in Social and Behavioral Sciences 615 0$aComputer science. 615 0$aComputer networks. 615 0$aArtificial intelligence. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aSocial sciences$xData processing. 615 14$aTheory of Computation. 615 24$aComputer Communication Networks. 615 24$aArtificial Intelligence. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aComputer Application in Social and Behavioral Sciences. 676 $a40,151 700 $aFerra?ndez Vicente$b Jose? 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