05133oam 2200577 450 991079040550332120170523091546.00-12-394836-3(OCoLC)878969742(MiFhGG)GVRL6ZSG(EXLCZ)99255000000111563720140306d2014 uy 0engurun|---uuuuatxtccrAdvanced ceramics for dentistry /[edited by] James Zhijian Shen and Tomaz KosmacWaltham, MA :Butterworth-Heinemann, an imprint of Elsevier,2014.1 online resource (xiv, 402 pages) illustrations (some color)Gale eBooksDescription based upon print version of record.0-12-394619-0 1-299-84721-8 Includes bibliographical references and index.Front Cover; Advanced Ceramics for Dentistry; Copyright Page; Contents; List of Contributors; Preface; 1 Introduction; 2 Teeth; 2.1 Introduction; 2.2 Microstructure of Teeth; 2.2.1 Enamel; 2.2.2 Dentin; 2.2.3 Cementum; 2.2.4 Pulp; 2.3 Optical Properties of Teeth; 2.3.1 Color; 2.3.2 Opacity and Translucency; 2.3.3 Fluorescence; 2.3.4 Opalescence; 2.3.5 Metamerism; 2.4 Mechanical Properties of Teeth; 2.5 Common Defects and Damage; Acknowledgments; References; 3 Dental Prostheses; 3.1 Introduction of Prosthodontics and Dental Prostheses; 3.2 Restoration of Tooth Defects; 3.2.1 Direct Fillings3.2.2 Inlays and Onlays3.2.3 Laminate Veneers; 3.2.4 Partial Crowns; 3.2.5 Full Crowns; 3.2.6 Post-and-core; 3.3 Restoration of Partial Edentulism; 3.3.1 Fixed Partial Dentures; 3.3.2 Bonded Bridges; 3.3.3 Removable Partial Dentures; 3.3.4 Precise Attachment Dentures; 3.4 Restoration of Complete Edentulism; 3.4.1 Complete Dentures; 3.4.2 Overdentures; Acknowledgments; References; 4 Dental Implants; 4.1 Principle Structure of Dental Implants; 4.1.1 Classification of Implantation and Loading Mode; 4.1.2 Classification by Time of Implantation After Tooth Loss; 4.1.3 Indications4.1.4 Indication Limitation4.1.5 Contraindications; 4.1.6 Advantages of Implants; 4.1.7 Disadvantages of Implants; 4.1.8 Implant Materials: Titanium vs. Zirconia; 4.1.9 History of Ceramic Implants; 4.1.10 Properties of Ceramics; 4.1.11 Advantages of Ceramic Implants; 4.1.12 Disadvantages of Ceramic Implants; 4.2 Implants; 4.2.1 Implant Types; 4.2.2 Implant Forms; 4.2.3 One-piece and Multi-part Systems; 4.2.4 Survival Rates; 4.3 Abutments; 4.3.1 Abutment Design: Individually Produced vs. Prefabricated; 4.3.2 Survival Rates of Ceramic Abutments; 4.4 Suprastructure; 4.5 Clinical Procedures4.5.1 Surgical Procedure4.5.1.1 Pre-Surgical Planning; 4.5.1.2 Intra-operative Behavior; 4.5.1.3 Post-surgical Behavior and Education; 4.5.2 Complications; 4.5.2.1 Intra-operative Complications; 4.5.2.2 Post-operative Complications; 4.6 Fitting and Bite Force; 4.6.1 Fitting of Ceramic Implants; 4.6.2 Bite Force and Fracture Risk of Implants; 4.7 Infection Management; 4.8 Osseointegration; References; 5 Clinical Failures of Ceramic Dental Prostheses; 5.1 Fractographic Analysis of Ceramics and Glasses; 5.1.1 Tools and Equipment; 5.1.2 Fracture Patterns and Origins5.1.3 Fracture Surface Examination5.2 Failures of Ceramic Dental Prostheses; 5.2.1 Fracture Features; 5.2.1.1 Cracking Initiated at the Margin; 5.2.1.2 Cracking Initiated at Occlusal Contacts; 5.2.1.3 Porcelain Chipping and Delamination; 5.2.2 Analysis of Failure Origin; 5.2.2.1 Failure Origins as Defects or Flaws; 5.2.2.2 Hertzian Cone Cracks Under Compressive Stress; 5.2.2.3 Cracks at Interface Under Tensile Stress; 5.2.3 Flaws and Defects; 5.2.3.1 Flaws/Defects and Failure Origins; 5.2.3.2 Defects in Porcelain; Gas Bubbles; Inclusions; Agglomerates; Compositional Inhomogeneities5.2.3.3 Defects in Ceramics The growth of implant and fixed prosthodontics practices in dentistry has created a rapidly increasing demand for advanced ceramics and ceramic processes. Innovations in ceramics and ceramic processes are vital to ensure reliable and affordable dental-restoration solutions with aesthetically pleasing outcomes. The work aims to engage the bioceramics and engineering communities to meet the challenges of modern dental restoration using advanced ceramics. Incorporating fundamental science, advanced engineering concepts, and clinical outcomes, the work is suitable for bioceramicists, cerDental ceramicsCeramicsDental PorcelainBiocompatible MaterialsSurface PropertiesDental ceramics.Ceramics.Dental Porcelain.Biocompatible Materials.Surface Properties.617.695Shen James ZhijianKosmac TomazMiFhGGMiFhGGBOOK9910790405503321Advanced ceramics for dentistry3689494UNINA06704nam 22006975 450 991098333100332120250220173438.09783031734977303173497110.1007/978-3-031-73497-7(MiAaPQ)EBC31783875(Au-PeEL)EBL31783875(CKB)36583471700041(DE-He213)978-3-031-73497-7(OCoLC)1472986818(EXLCZ)993658347170004120241115d2025 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierProgress in Artificial Intelligence 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3–6, 2024, Proceedings, Part I /edited by Manuel Filipe Santos, José Machado, Paulo Novais, Paulo Cortez, Pedro Miguel Moreira1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (465 pages)Lecture Notes in Artificial Intelligence,2945-9141 ;149679783031734960 3031734963 AI and Creativity (AIC) -- MI-CCy Quantifier: A Framework for Quantifying Mixed-Initiative Co-Creativity in Human-AI Collaborations -- Automated Detection System for Portuguese Musical Instruments -- Leveraging LLMs for On-the-fly Instruction Guided Image Editing -- Distributing Creative Responsibility Between a Knowledge-Based Content Determiner and a Neural Text Realizer -- ScanType: Evolutionary Letter Finding -- Mixed-initiative Worldbuilding in Speculative Design Experimental Practices -- Expanding Design Horizons: Evolutionary Tool for Parametric Design Exploration with Interactive and CLIP-Based Evaluation -- Evaluation of Lyrics Extraction from Folk Music Sheets Using Vision-Language Models (VLMs) -- Ambient Intelligence and Affective Environments (AmIA) -- Data-Driven Academic Performance Evaluation: A Smart Platform Approach -- Bridging Fashion and Technology: Synthetic Human Models for an Enhanced E-commerce Experience -- A Multi-Agent System Approach with Generative AI for Improved Elderly Daily Living -- Predictive Analytics in Education: A Comparative Analysis of Machine Learning Models for Predicting Student Performance -- Smart Cities as Affective Environments.-Artificial Intelligence and IoT in Agriculture (AIoTA) -- Pruning End-Effectors - State Of The Art Review -- An Apple Counting System Robust to Multiple Intermittent Occlusions.-Data-Driven Digital Twin Based Energy Flexibility Investigation for Commercial Greenhouse Production Process -- Towards a Conversational AI Chatbot to Assist Farmers in Disease Detection -- The Impact of the EU’s AI Act and Data Act on Digital Farming Technologies -- Artificial Intelligence and Law (AIL) -- The Introduction of AI in Healthcare: a Multi-Layered Issue -- Segmentation Model for Judgments of the Portuguese Supreme Court of Justice -- Digital Justice in the EU: Integration of BPMN and AI into ODR Processes.-Transparency vs Explanation: Perspectives from Recent Legal Proceedings -- Detection of Potentially Non-compliant Clauses in Online ToS in Portuguese -- Towards Transparent AI: How AI Act Shape the Future -- Anthropocentric AI for EU Consumer Lending: 'Hacking' Opacity and Discrimination ‘Sins’ Powered by Creditworthiness Machines -- HIRS: A Hybrid Information Retrieval System for Legislative Documents -- Protection of Copyrights in the Era of Generative Artificial Intelligence -- Artificial Intelligence for Industry and Societies (AI4IS) -- Exploration of Computer Vision Systems in the Recognition of Characteristics in Parts in an Industrial Environment -- Approximate Nash Equilibrium Learning for n-Player Markov Games in Dynamic Pricing -- Data Mining Models to Predict Order with Delays: A Textile Case Study.-Comparing Aggregated and Separate Models for Crowd Density Forecasting -- Evaluation of Machine Learning Methods for Fire Risk Assessment from Satellite Imagery -- Geometrically-Informed Tool Recommendation in High-Speed Machining -- A Reinforcement Learning based Recommender System Framework for Web Apps: Radio and Game Aggregators Scenarios.The 3-volume set LNAI 14967, 14968, and 14969 constitutes the proceedings of the 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, held in Viana do Castelo, Portugal, during September 3–6, 2024. The 94 full papers presented in these proceedings were carefully reviewed and selected from 187 submissions. The papers are organized in the following topical sections: Volume I: AI and Creativity (AIC); Ambient Intelligence and Affective Environments (AmIA); Artificial Intelligence and IoT in Agriculture (AIoTA); Artificial Intelligence and Law (AIL); and Artificial Intelligence for Industry and Societies (AI4IS). Volume II: Artificial Intelligence in Medicine (AIM); Artificial Intelligence in Power and Energy Systems (AIPES); Artificial Intelligence in Transportation Systems (AITS); Ethics and Responsibility in AI (ERAI); and General AI (GAI). Volume III: Generative AI – Foundations and Applications (GenAI); Intelligent Robotics (IROBOT); Knowledge Discovery and Business Intelligence (KDBI); Natural Language Processing, Text Mining and Applications (TeMA); and Data-Centric AI – Solutions and Emerging Technologies (DCenAI).Lecture Notes in Artificial Intelligence,2945-9141 ;14967Artificial intelligenceComputer networksApplication softwareNatural language processing (Computer science)Artificial IntelligenceComputer Communication NetworksComputer and Information Systems ApplicationsNatural Language Processing (NLP)Artificial intelligence.Computer networks.Application software.Natural language processing (Computer science)Artificial Intelligence.Computer Communication Networks.Computer and Information Systems Applications.Natural Language Processing (NLP).006.3Santos Manuel Filipe1782737Machado José0Novais Paulo762363Cortez Paulo524960Moreira Pedro Miguel1782738MiAaPQMiAaPQMiAaPQBOOK9910983331003321Progress in Artificial Intelligence4309241UNINA