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Wear behavior of dental glass-ceramics: a scoping review on the damage of opposing tooth enamel surfaces

Biotribology 2020年 21卷

作者： Souza, Júlio C.M. Silva, Cristina S. Caramês, João Henriques, Bruno Novaes de Oliveira, Antonio P. Silva, Filipe S. Gomes, José R. Center for MicroElectroMechanical Systems (CMEMS-UMINHO) University of Minho Campus Azurém Guimarães 4800-058 Portugal University Institute of Heal Sciences (IUCS) CESPU Gandra PRD Portugal School of Dentistry Universidade de Lisboa Lisboa Portugal Post-Graduate Program in Mechanical Engineering (POSMEC) Dept. of Mechanical Engineering (EMC) Federal University of Santa Catarina (UFSC) Florianópolis 88040-900 SC Brazil Laboratory of Glass-Ceramic Materials (VITROCER) Dept. of Mechanical Engineering (EMC) Federal University of Santa Catarina (UFSC) Florianópolis SC Brazil

The main aim of this study was to perform a scoping review on the wear behaviour of recent dental glass-ceramics and its influence on the damage of opposing tooth enamel surfaces. Relevant in vivo and in vitro studies reported significant damage on enamel surfaces after friction against current glass-ceramics and therefore different parameters have been studied such as the glass-ceramic type, wear set up, environment, and surface treatment. The opposing enamel loss in volume, weight, or vertical measurement shown by previous studies is significantly higher when compared to enamel-by-enamel wear values. In fact, high values of hardness and elastic modulus of glass-ceramics combined with rough surfaces can result in detrimental effects on the tooth enamel surfaces. Restorative dental materials must withstand masticatory loads in combination with aesthetic benefits and high biocompatibility. Nevertheless, elastic modulus, hardness, and roughness of glass-ceramics should be adjusted to decrease the damage on tooth enamel surfaces. © 2020 Elsevier Ltd

关键词： Friction Glass-ceramics Restorative dental materials Wear

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Arsenal ship program certification plan

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NAVAL ENGINEERS JOURNAL 1998年第1期110卷 249-261页

作者： Arntson, S Lind, W Turner, JJ Blaiklock, WC Tedesco, M Stephen G. Arntson is an independent consultant. A degree Naval Architect he has over 38 years of experience in the design construction and maintenance of surface ships. His experience includes 28 yeus with the Naval Sea Systems Command Naval Ship Engineering Centerl Bureau of Ships specializing in the structural design of Naval surface ships and 7 years with ABS Specializing in the application of commercial ship design practices. Most recently he worked with both NASSCO and ABS MZ the Arsenal Ship Program. Steve was very active with the Ships Structure Committee in developing R&D programs for ship structure and he is a member of the ASNE Journal Committee. Steve received a BS in Mechanical Engineering (Naval Architecture Option) from Virginia Polytechnic Institute in 1964. He is a member of the ASNE TAU BETA PI PI TAU SIGMA and PHI KAPPA PHI. William 1. Lind joined ABS in 1992 after ten years with Sparkman and Stephens Inc. He is currently ABS Amekas Manager of Engineering jm New Orleans and Cleveland. Both ofices conduct plan reviews for militavy commercial and private marine craft fm self-propelled vessels under 300 feet in length and bargus unlimited in length. As Vice-Chaimn ojthe Western Rivers Technical Committee Great Lakes Technical Committee and the Small Vessel Committee Bill participated in the writing of the 1997 ABS Guide for Building and Classing High Speed Craft and the 1997 ABS Rules for Building and Classing Steel Vessels Under 9OM. Bill received an MBA from Florida Atlantic University in 1995 a BS in Mechanical Engineering from New York Institute of Technology in 1986 and a BA in Histoy from Colgate University in 1976. He is Chaimn of SNAME HS-9 Composite Panel Testing & Fire Protection and a member of ASNE. John J. Turner is Senior Vice President of SYNTEK Technologies Inc. in Arlington Virginia. SYNTEK specializes in activities of a highly technical nature supporting both industry and government in domestic and international markets. He is a registered Professional Engineer

The Defense Advanced Research Project Agency (DARPA), in conjunction with the U.S. Navy, initiated a research program for the design and construction of a distinctive warship for the 21st century known as the Arsenal Ship. By using an innovative development and acquisition approach it was hoped to streamline the procurement process and reduce costs. In an environment where budgets are being cut, both industry and Government were challenged to develop, design, and produce the innovative ship and related mission systems to meet specific performance capabilities within strict affordability constraints. A key element of this innovative acquisition approach was a new certification scheme designed to replace the traditional test and evaluation (T&E) and acceptance process. The purpose of this paper is to describe the development of the certification plan during Phase LI of the Arsenal Ship program by the American Bureau of Shipping and the contending Shipyard teams, and to discuss the potential benefits of this alternative certification approach. Although the Arsenal Ship program was canceled late in 1997, insight derived from the exploration of new certification concepts could benefit future design and building programs.

关键词： Warships

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Exploring the Relationship between Saturated Soil Hydraulic Conductivity and Co-Driven Factors Using Artificial Neural Networks at Watershed Scale

SSRN

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SSRN 2024年

作者： Soares, Mauricio Fornalski Nunes, Romulo Félix Siqueira, Tirzah Moreira Pedrollo, Olavo Correa Reichardt, Klaus Barros, Willian Silva She, Dongli Timm, Luís Carlos Water Resources Post-Graduate Program Center of Technological Development Federal University of Pelotas Campus Porto Rua Gomes Carneiro n. 01 Rio Grande do Sul Pelotas96010-610 Brazil Center of Engineering Federal University of Pelotas Rio Grande do Sul Pelotas Brazil Soil and Water Management and Conservation Post-Graduate Program Faculty of Agronomy Federal University of Pelotas Rio Grande do Sul Pelotas Brazil Hydraulic Researchs Institute Federal University of Rio Grande do Sul Rio Grande do Sul Porto Alegre Brazil Soil Physics Laboratory CENA Department of Crop Production ESALQ University of São Paulo São Paulo Piracicaba Brazil Department of Statistics Federal University of Pelotas Campus Universitário s/n Rio Grande do Sul Capão do Leão96010-900 Brazil College of Agricultural Sciences and Engineering Hohai University Nanjing210098 China Department of Rural Engineering Faculty of Agronomy Federal University of Pelotas Campus Universitário s/n Ri o Grande do Sul CEP Capão do Leão96010-900 Brazil

Saturated hydraulic conductivity (KSat) is a key soil attribute that influences hydrological processes at multiple scales. It is well known that KSat is difficult to measure in the field. Field KSat measurement requires time and expensive equipment, skilled labor, and due to the variability of KSat, many samples are required. Artificial neural networks (ANNs) are powerful non-linear mathematical models that can estimate KSat from different soil and environmental input variables as well as using dimensionless variables generated using database resizing techniques via principal component analysis (PCA). Our main goal is to construct artificial neural network models for predicting KSat using soil and different land uses as input variables at a watershed scale. The study area is the Eller Creek watershed of about 0.7 km2 in southern Brazil, in which we established an experimental grid of 178 sampling points. Data of soil bulk density, total porosity, microporosity, macroporosity, soil organic carbon content, sand, silt and clay, and KSat were determined at each point in the 0-20 cm layer. A land-use map was derived from satellite images and used to identify the land use around each soil sampling point. PCA was applied to the original dataset and two selected PCs were included as input variables for ANN modeling. Our results suggest that PC inclusion as input parameters, collectively or individually, combined with the original data, increased the performance of the analyzed ANN models, when compared to similar models using only the original data and without PCs. The use of ANN models showed that the variation of KSat in the ECW watershed is not only associated with soil hydrological and environmental covariates, but also to PCs which are orthogonal linear recombinations that encapsulate the main sources of variation of the original datasets. © 2024, The Authors. All rights reserved.

关键词： Soils

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Artificial Neural Network Models to Examine the Relationship between Saturated Soil Hydraulic Conductivity and Co-Driven Factors at the Watershed Scale

SSRN

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SSRN 2023年

作者： Soares, Mauricio Fornalski Siqueira, Tirzah Moreira Nunes, Romulo Félix Pedrollo, Olavo Correa Reichardt, Klaus Barros, Willian Silva Timm, Luís Carlos Water Resources Post-Graduate Program Center of Technological Development Federal University of Pelotas Campus Porto Rua Gomes Carneiro n. 01 Rio Grande do Sul PelotasCEP: 96010-610 Brazil Center of Engineering Federal University of Pelotas Rio Grande do Sul Pelotas Brazil Soil and Water Management and Conservation Post-Graduate Program Faculty of Agronomy Federal University of Pelotas Rio Grande do Sul Pelotas Brazil Hydraulic Researchs Institute Federal University of Rio Grande do Sul Rio Grande do Sul Porto Alegre Brazil Soil Physics Laboratory CENA Department of Crop Production ESALQ University of São Paulo Piracicaba São Paulo Brazil Department of Statistics Federal University of Pelotas Campus Universitário s/n Rio Grande do Sul Capão do LeãoCEP: 96010-900 Brazil Department of Rural Engineering Faculty of Agronomy Federal University of Pelotas Campus Universitário s/n Rio Grande do Sul Capão do LeãoCEP: 96010-900 Brazil

Saturated soil hydraulic conductivity (KSat) is a key soil attribute that affects hydrological processes in the soil surface layer. It is well known that KSat is difficult to be obtained in the field, requires time and expensive equipment, skilled labor and, due to its variability, requires many samples and can hardly be extrapolated. Artificial neural networks (ANNs) are powerful no-linear mathematical models to estimate KSat from different soil hydro-physical and environmental input variables as well as by using dimensionless variables generated by database resizing techniques from principal component analyses (PCA). The present study aimed to construct artificial neural network models for predicting KSat using soil attributes and different land uses as input variables at a watershed scale. The study was carried out in the Ellert Creek watershed of about 0.7 km2, Brazil, in which an experimental grid consisted of 178 sampling points was established. Data of soil bulk density, total porosity, microporosity, macroporosity, soil organic carbon content, sand, silt and clay, and KSat were determined at each point in the 0-20 cm layer. A land-use map was derived from satellite images and used to identify the land use around each soil sampling point. PCA was applied to the original data set and selected PCs were used as input variables for ANN modeling. Two PCs were selected and the results suggest that their inclusion as input parameters, both or individually, combined with the original data, increased the performance of the analyzed ANN models, when compared to similar models with only original data and without PCs. The use of ANN models showed that the variation of KSat in the ECW watershed is not only associated to soil hydrological and environment covariates, but also to PCs which are orthogonal linear recombinations that resume the main sources of variation of the original data sets. © 2023, The Authors. All rights reserved.

关键词： Soils

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A new Normalized Index for Ranking Papers in Systematic Literature Reviews

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Decision Analytics Journal 2024年 10卷

作者： Steffen, Vilmar de Oliveira, Maiquiel Schmidt Brusamarello, Claiton Zanini Trojan, Flavio Academic Departments of Engineering (DAENG) Federal University of Technology - Parana (UTFPR) Rua Gelindo Joao Folador 2000 Parana Francisco Beltrao 85602-863 Brazil Academic Department of Physics Statistics and Mathematics (DAFEM) Federal University of Technology - Parana (UTFPR) Rua Gelindo Joao Folador 2000 Parana Francisco Beltrao 85602-863 Brazil Academic Department of Electronics (DAELE) Federal University of Technology - Parana (UTFPR) Rua Doutor Washington Subtil Chueire 330 Parana Ponta Grossa 84017-220 Brazil Post-graduate Program in Production Engineering (PPGEP) Federal University of Technology - Parana (UTFPR) Rua Doutor Washington Subtil Chueire 330 Parana Ponta Grossa 84017-220 Brazil

The number of journals, and consequently the number of papers, has grown significantly, which makes it necessary to use suitable tools in systematic literature reviews. Several methodologies have been proposed for this purpose, and one of these methods is the index calculation used to rank the papers in order of importance. This study proposes a new index called the Normalized Index for Ranking Papers to rank the papers in a systematic literature review, which is considered mainly indicators provided by the Centre for Science and Technology Studies journal indicators. For this index calculation, importance weights are assigned by the researchers, and the indicators used in the index are normalized. For ranking the final portfolio, the proposed method considers a weighted average of indicators (impact factors) in which the paper was published and a value that represents approximately the number of citations per year. The journal self-citation index benefits the journals with lower self-citation practices. A Systematic Literature Review (SLR) was carried out to analyze the final portfolio's results involving Multi-criteria Decision Analysis in airports. The indicators normalization enables the importance of each metric to be decided by the researcher according to the choice of the weights, not by the difference in the indicators’ magnitude. The importance of an article can be proved initially by the journal indicators in which the paper was published and by citations per year. © 2024 The Authors

关键词： Importance weight Journal indicator Multiple criteria Normalized Index for Ranking Papers Rank index Systematic Literature Review

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Examining associations with on-time performance and identifying relevant road network, demographic, socioeconomic and land use characteristics within the bus stop vicinity for proactive and reliable public transportation system planning

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Multimodal Transportation 2023年第4期2卷

作者： Mishra, Raunak Pulugurtha, Srinivas S. Mathew, Sonu Former Graduate Student of Infrastructure and Environmental Systems Ph.D. Program The University of North Carolina at Charlotte 9201 University City Boulevard Charlotte 28223-0001 NC United States Professor & Research Director of Civil & Environmental Engineering Department Director of Infrastructure Design Environment and Sustainability (IDEAS) Center The University of North Carolina at Charlotte 9201 University City Boulevard Charlotte 28223-0001 NC United States Post-Doctoral Researcher of IDEAS Center The University of North Carolina at Charlotte 9201 University City Boulevard Charlotte 28223-0001 NC United States

Growing population, rapid urbanization, and increasing travel demand emphasize the need for reliable public transportation systems and sustainable transportation planning. A reliable bus service fosters a more significant, satisfied, and committed base of users. This research focuses on examining the association between on-time performance (OTP) and road network, demographic, socioeconomic, and land use characteristics to identify relevant external factors for proactive and reliable public transportation system planning. The analysis was conducted at a bus stop level. Bus arrival/departure data from the Charlotte Area Transit System (CATS) was obtained. The road network, demographic, socioeconomic, and land use characteristics were captured within 0.25-mile and 0.50-mile buffers. Pearson correlation analysis was conducted to understand the association between OTP and road network, demographic, socioeconomic, and land use characteristics by day of the week and time of the day. The results show that OTP is associated with external factors such as the number of signalized or cul-de-sac/dead-end intersections, number of lanes, network density, population, income (median and total), and land use types related to residential and commercial/employment purposes within the bus stop vicinity. The findings provide vital insights for transit agencies to enhance scheduling, service and maximize benefits, effectively utilize available resources, plan, and provide equitable services to all riders. © 2023 The Author(s)

关键词： Bus stop Demographic Land use On-time performance Pearson correlation Road network Socioeconomic Transit

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Integrated data envelopment analysis, multi-criteria decision making, and cluster analysis methods: Trends and perspectives

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Decision Analytics Journal 2023年 8卷

作者： de Oliveira, Maiquiel Schmidt Steffen, Vilmar de Francisco, Antonio Carlos Trojan, Flavio Academic Department of Physics Statistics and Mathematics (DAFEM) Federal University of Technology - Parana (UTFPR) Rua Gelindo João Folador 2000 Francisco Beltrão Paraná 85602-863 Brazil Academic Departments of Engineering (DAENG) Federal University of Technology - Parana (UTFPR) Rua Gelindo João Folador 2000 Francisco Beltrão 85602-863 Paraná Brazil Academic Department of Electronics (DAELE) Federal University of Technology - Parana (UTFPR) Rua Doutor Washington Subtil Chueire 330 Ponta Grossa 84017-220 Paraná Brazil Post-Graduate Program in Production Engineering (PPGEP) Federal University of Technology - Parana (UTFPR) Rua Doutor Washington Subtil Chueire 330 Ponta Grossa 84017-220 Paraná Brazil

Data Envelopment Analysis (DEA), Multi-criteria Decision Analysis (MCDA), and Cluster Analysis (CA) are techniques widely used to help decision-makers determine the solution to problems with multiple and often conflicting criteria. This study presents a comprehensive review of the literature on the DEA, MCDA, and CA models to identify existing and potential applications and future development trends. To this end, the Methodi Ordinatio was applied to determine which publications have the greatest impact, considering articles in three databases: Scopus, ScienceDirect, and Web of Science. We pair the techniques two by two since no results were found to integrate the three techniques. The results point to a portfolio with 490 articles, in which approximately 43.87% of the articles combine DEA and MCDA techniques for solving efficiency and productivity analysis problems. © 2023 The Author(s)

关键词： Cluster analysis Combined decision techniques Data envelopment analysis Literature review Methodi ordinatio Multi-criteria decision making

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A systematic review of the literature on video assistant referees in soccer: Challenges and opportunities in sports analytics

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Decision Analytics Journal 2023年 7卷

作者： de Oliveira, Maiquiel Schmidt Steffen, Vilmar Trojan, Flavio Academic Department of Physics Statistics and Mathematics (DAFEM) Federal University of Technology - Parana (UTFPR) Rua Gelindo João Folador 2000 Francisco Beltrão Paraná 85602-863 Brazil Academic Department of Engineering (DAENG) Federal University of Technology - Parana (UTFPR) Rua Gelindo João Folador 2000 Francisco Beltrão Paraná 85602-863 Brazil Academic Department of Electronics (DAELE) Federal University of Technology - Parana (UTFPR) Rua Doutor Washington Subtil Chueire 330 Ponta Grossa Paraná 84017-220 Brazil Post-graduate Program in Production Engineering (PPGEP) Federal University of Technology - Parana (UTFPR) Rua Doutor Washington Subtil Chueire 330 Ponta Grossa Paraná 84017-220 Brazil

Refereeing in sports is about fairness. The referee's job is to balance what the player with the ball thinks is fair with what the player trying to take the ball thinks is fair. Referees are judges on those two opposite opinions. Football (soccer) has massive global appeal and fan interest. Some football championships now use Video Assistant Referees (VAR) to help the referees make correct decisions. This study reviews the literature on VAR in football using the Methodi Ordinatio. Methodi Ordinatio is a methodology used to select and rank relevant scientific papers combining the impact factor, number of citations, and year of publication. We present a case study about the distance the VAR officials cover in the main Brazilian football championship (Brazilian Serie A). This study adopts the p-medians method to analyse the impact of opening VAR operation rooms in the distance covered by the professionals travelling to officiate matches. The locations of VAR operation rooms were obtained, and applying these locations in the first ten rounds of the Brazilian Serie A season 2021 would possibly reduce about 70% of the distance covered by the VAR officials travelling compared to the total distance performed. © 2023 The Author(s)

关键词： Decision-aid technology Distance minimization Methodi ordinatio p-medians Soccer Sports analytics Video assistant referee

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Biological responses of fibroblasts and osteoblasts on modified bioactive titanium implant surfaces

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Clinical Oral Implants Research 2018年第S17期29卷

作者： Beatriz Ferreira Mariana Cruz Gabriella Peñarrieta-Juanito Joana Marques Filipe Silva João Caramês Júlio Souza Ricardo Magini Mafalda Costa Georgina Miranda António Mata Faculty of Dental Medicine Universidade de Lisboa Portugal Center for Research on Dental Implants Post-graduate program in dentistry (PPGO) School of Dentistry Federal University of Santa Catarina (UFSC) Brazil Oral Biology and Biochemistry Research Group LIBPhys Faculty of Dental Medicine University of Lisbon Portugal Center for Microelectromechanical Systems (CMEMS) Dept. of Mechanical Engineering University of Minho Portugal Bone Physiology Research Group LIBPhys Faculty of Dental Medicine University of Lisbon Portugal Center for Research on Dental Implants Post-graduate program in dentistry (PPGO) School of Dentistry Federal University of Santa Catarina (UFSC) Portugal

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Human osteoblast and fibroblast behavior on modified zirconia implant surfaces

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Clinical Oral Implants Research 2018年第S17期29卷

作者： Mariana Cruz Joana Marques Gabriella Peñarrieta-Juanito Filipe Silva António Mata Mafalda Costa Georgina Miranda Júlio Souza Ricardo Magini Silvio Mario Meloni João Caramês Faculty of Dental Medicine Universidade de Lisboa Portugal Oral Biology and Biochemistry Research Group LIBPhys Faculty of Dental Medicine University of Lisbon Portugal Center for Research on Dental Implants Post-graduate program in dentistry (PPGO) School of Dentistry Federal University of Santa Catarina (UFSC) Brazil Center for Microelectromechanical Systems (CMEMS) Dept. of Mechanical Engineering University of Minho Portugal Center for Research on Dental Implants Post-graduate program in dentistry (PPGO) School of Dentistry Federal University of Santa Catarina (UFSC) Portugal NA Italy Faculty of Dental Medicine University of Lisbon Portugal

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