Search results for "20(60)"

showing 10 items of 368 documents

Evaluation of marginal sealing quality of restorations with low shrinkage composite resins

2020

Background This study compared the quality of marginal sealing in the gingival wall of class II preparations of two low-shirinkage resins of the bulk fill type with a conventional resin isolated or associated with a glass ionomer cement (GIC). Material and methods 40 human molars were divided into 4 groups and 80 occlusal-mesial and occlusal-distal restorations were performed with the following materials: SureFil SDR flow, Filtek Bulk Fill Posterior, Z250 resins and Riva Light Cure GIC. 40 restorations were evaluated in Scanning Electron Microscopy (SEM) with Elemental Microanalysis Spectrometry (EDS) initially and the remainder after a period of 6 months of aging in a 37 ± 5°C oven. An ave…

MolarMaterials scienceScanning electron microscopeResearchResin composite0206 medical engineeringComposite numberGlass ionomer cementFiltek Bulk FillBulk fill030206 dentistry02 engineering and technology020601 biomedical engineering03 medical and health sciences0302 clinical medicinestomatognathic systemBiomaterials and Bioengineering in DentistryLow shrinkageComposite materialGeneral DentistryUNESCO:CIENCIAS MÉDICASJournal of Clinical and Experimental Dentistry
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Bond strength and elemental analysis of oxidized dentin bonded to resin modified glass ionomer based restorative material

2019

Background This study aimed to investigate the influence of hesperidin application on the bonding of resin-modified glass ionomer-based restorative material to dentin treated with oxygen-induced endodontic irrigants. Material and Methods One hundred human permanent molars were categorized into five groups (n= 20/group), treated with various irrigants as follows: Group C; distilled water (control group), Group SH; 5.25% NaOCl, Group SH+H; 5.25% NaOCl + 5 % hesperidin, Group HP; 10% H2O2, Group HP+H; 10% H2O2 + 5 % hesperidin. Specimens were bonded with RMGI based restorative material. For each group, half of the specimens were evaluated for µSBS by a universal testing machine and the other h…

MolarUniversal testing machineChemistryBond strengthResearch0206 medical engineeringGlass ionomer cement030206 dentistry02 engineering and technology:CIENCIAS MÉDICAS [UNESCO]020601 biomedical engineeringOperative Dentistry and Endodontics03 medical and health sciencesHesperidinchemistry.chemical_compound0302 clinical medicinemedicine.anatomical_structureDistilled waterstomatognathic systemElemental analysisUNESCO::CIENCIAS MÉDICASDentinmedicineGeneral DentistryNuclear chemistry
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Prospective study of monolithic zirconia crowns: clinical behavior and survival rate at a 5-year follow-up

2020

Purpose To evaluate the clinical behavior and survival of full coverage monolithic zirconia crowns on posterior teeth over a 5-year follow-up. Methods Fifty patients were recruited and underwent restoration with a Lava Plus monolithic zirconia crown (Lava™ Frame Zirconia, 3M Espe, Germany) on premolars or molars. Patients were monitored over a 5-year follow-up (2014-19), recording any biological and/or mechanical complications; these data were used to estimate the crowns' success rate. Periodontal clinical parameters were recorded (pocket probing depth (PPD), plaque index (PLI), bleeding on probing (BOP), and gingival recession (GR)). Wear to the zirconia crowns and antagonist teeth were al…

Molarmedicine.medical_treatment0206 medical engineeringBleeding on probingDentistry02 engineering and technologyCrown (dentistry)03 medical and health sciences0302 clinical medicinestomatognathic systemmedicineHumansDentistry (miscellaneous)Dental Restoration FailureProspective StudiesSurvival rateGingival recessionDental structureCrownsEnamel paintbusiness.industry030206 dentistry020601 biomedical engineeringSurvival Ratestomatognathic diseasesvisual_artvisual_art.visual_art_mediumPosterior teethZirconiumOral Surgerymedicine.symptombusinessFollow-Up StudiesJournal of Prosthodontic Research
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Using deep neural networks for kinematic analysis: Challenges and opportunities

2020

Kinematic analysis is often performed in a lab using optical cameras combined with reflective markers.\ud With the advent of artificial intelligence techniques such as deep neural networks, it is now possible\ud to perform such analyses without markers, making outdoor applications feasible. In this paper I summarise\ud 2D markerless approaches for estimating joint angles, highlighting their strengths and limitations.\ud In computer science, so-called ‘‘pose estimation” algorithms have existed for many years. These methods\ud involve training a neural network to detect features (e.g. anatomical landmarks) using a process called\ud supervised learning, which requires ‘‘training” images to be …

Motion analysisComputer scienceProcess (engineering)media_common.quotation_subject0206 medical engineeringBiomedical EngineeringBiophysicsneuroverkot02 engineering and technologyMachine learningcomputer.software_genreTask (project management)QA7603 medical and health sciences0302 clinical medicineDeep LearningArtificial IntelligenceHumansOrthopedics and Sports MedicineQuality (business)liikeanalyysiPosemedia_commonQMliikeoppiArtificial neural networkGV557_SportsT1business.industrymotion analysisRehabilitationSupervised learningdeep neural networkartificial intelligence020601 biomedical engineeringBiomechanical Phenomenakoneoppiminenkinematicsmarkerless trackingArtificial intelligenceNeural Networks ComputerbusinessTransfer of learningcomputer030217 neurology & neurosurgeryAlgorithms
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Single-trial Connectivity Estimation through the Least Absolute Shrinkage and Selection Operator.

2019

Methods based on the use of multivariate autoregressive models (MVAR) have proved to be an accurate tool for the estimation of functional links between the activity originated in different brain regions. A well-established method for the parameters estimation is the Ordinary Least Square (OLS) approach, followed by an assessment procedure that can be performed by means of Asymptotic Statistic (AS). However, the performances of both procedures are strongly influenced by the number of data samples available, thus limiting the conditions in which brain connectivity can be estimated. The aim of this paper is to introduce and test a regression method based on Least Absolute Shrinkage and Selecti…

Multivariate statisticsComputer science0206 medical engineering02 engineering and technologyConnectivity measurementsLeast squares03 medical and health sciences0302 clinical medicineLasso (statistics)Statistics::MethodologyLeast-Squares AnalysisStatisticShrinkagebusiness.industryBrainPattern recognitionElectroencephalography020601 biomedical engineeringCausalityData pointAutoregressive modelCausality; Connectivity measurements; Physiological systems modeling - Multivariate signal processingPhysiological systems modeling - Multivariate signal processingOrdinary least squaresLeast-Squares Analysis Brain ElectroencephalographyArtificial intelligencebusiness030217 neurology & neurosurgeryAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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Information Dynamics Analysis: A new approach based on Sparse Identification of Linear Parametric Models*

2020

The framework of information dynamics allows to quantify different aspects of the statistical structure of multivariate processes reflecting the temporal dynamics of a complex network. The information transfer from one process to another can be quantified through Transfer Entropy, and under the assumption of joint Gaussian variables it is strictly related to the concept of Granger Causality (GC). According to the most recent developments in the field, the computation of GC entails representing the processes through a Vector Autoregressive (VAR) model and a state space (SS) model typically identified by means of the Ordinary Least Squares (OLS). In this work, we propose a new identification …

Multivariate statisticsComputer scienceEntropyGaussian0206 medical engineeringNormal Distribution02 engineering and technology01 natural sciencesLASSO regression010305 fluids & plasmassymbols.namesakeinformation TransferState Space modelsGranger causalityLasso (statistics)0103 physical sciencesStatistics::MethodologyState spaceLeast-Squares AnalysisShrinkageSparse matrixElectroencephalography020601 biomedical engineeringinformation Transfer; LASSO regression; State Space models; Granger causalityAutoregressive modelstate space modelParametric modelOrdinary least squaresLinear ModelssymbolsGranger causalityTransfer entropyAlgorithmInformation dyancamic analysi
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Estimating brain connectivity when few data points are available: Perspectives and limitations

2017

Methods based on the use of multivariate autoregressive modeling (MVAR) have proved to be an accurate and flexible tool for the estimation of brain functional connectivity. The multivariate approach, however, implies the use of a model whose complexity (in terms of number of parameters) increases quadratically with the number of signals included in the problem. This can often lead to an underdetermined problem and to the condition of multicollinearity. The aim of this paper is to introduce and test an approach based on Ridge Regression combined with a modified version of the statistics usually adopted for these methods, to broaden the estimation of brain connectivity to those conditions in …

Multivariate statisticsUnderdetermined system0206 medical engineeringBiomedical EngineeringSignal Processing; Biomedical Engineering; 1707; Health InformaticsHealth Informatics02 engineering and technologyMachine learningcomputer.software_genreBrain Mapping Brain03 medical and health sciences0302 clinical medicineFalse positive paradox1707MathematicsBrain Mappingbusiness.industryBrain020601 biomedical engineeringRegressionData pointAutoregressive modelMulticollinearitySignal ProcessingSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaOrdinary least squaresArtificial intelligenceData miningbusinesscomputer030217 neurology & neurosurgery2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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Physical and biological properties of electrospun poly( d , l ‐lactide)/nanoclay and poly( d , l ‐lactide)/nanosilica nanofibrous scaffold for bone t…

2021

Electrospun scaffolds exhibiting high physical performances with the ability to support cell attachment and proliferation are attracting more and more scientific interest for tissue engineering applications. The inclusion of inorganic nanoparticles such as nanosilica and nanoclay into electrospun biopolymeric matrices can meet these challenging requirements. The silica and clay incorporation into polymeric nanofibers has been reported to enhance and improve the mechanical properties as well as the osteogenic properties of the scaffolds. In this work, for the first time, the physical and biological properties of polylactic acid (PLA) electrospun mats filled with different concentrations of n…

NanocompositeMaterials science0206 medical engineeringtechnology industry and agricultureMetals and AlloysBiomedical Engineering02 engineering and technology021001 nanoscience & nanotechnologyBone tissue020601 biomedical engineeringBiomaterialsContact anglechemistry.chemical_compoundCrystallinitymedicine.anatomical_structureDifferential scanning calorimetryPolylactic acidchemistryChemical engineeringTissue engineeringNanofiberCeramics and Compositesmedicine0210 nano-technologyJournal of Biomedical Materials Research Part A
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A Novel Technique Using Polytetrafluoroethylene Tape to Solve Screw Loosening Complication in Implant-Supported Single Crowns

2020

This study aimed to analyze a novel technique to make screws with greater untightening resistance and to solve screw loosening in implant-supported single crowns. Thirty grade IV titanium straight abutments were screwed onto 30 external hex implants using grade IV titanium screws (30 Ncm). They were exposed to cyclic loading (300,000 cycles, 200 N). Samples were divided into 4 groups (15 samples per group): new screws (SCREW group) (control), reused screws (rSCREW group), new screws wrapped with polytetrafluoroethylene (PTFE) tape (PTFE group), and reused screws wrapped with PTFE tape (rPTFE group). Reverse torque values (RTVs) were recorded with a digitally calibrated implant motor. Mean R…

Novel techniqueMaterials sciencemechanical complicationsHealth Toxicology and MutagenesisBone Screws0206 medical engineeringDentistrylcsh:Medicine02 engineering and technologyArticle03 medical and health scienceschemistry.chemical_compound0302 clinical medicineCyclic loadingDental Restoration Failurescrew looseningPolytetrafluoroethyleneTitaniumPolytetrafluoroethyleneCrownsbusiness.industrylcsh:RPublic Health Environmental and Occupational Health030206 dentistrypolytetrafluorethylene020601 biomedical engineeringimplant single crownsfixed dental prosthesisTorquechemistryScrew looseningDental Prosthesis Implant-SupportedImplantbusinessImplant supportedInternational Journal of Environmental Research and Public Health
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Optimization of a decellularized protocol of porcine tracheas. Long-term effects of cryopreservation. A histological study

2021

[EN] Objective: The aim of this study was to optimize a decellularization protocol in the trachea of Sus scrofa domestica (pig) as well as to study the effects of long-term cryopreservation on the extracellular matrix of decellularized tracheas. Methods: Porcine tracheas were decellularized using Triton X-100, SDC, and SDS alone or in combination. The effect of these detergents on the extracellular matrix characteristics of decellularized porcine tracheas was evaluated at the histological, biomechanical, and biocompatibility level. Morphometric approaches were used to estimate the effect of detergents on the collagen and elastic fibers content as well as on the removal of chondrocytes from …

OctoxynolSwine0206 medical engineeringTracheal stenosisBiomedical EngineeringMedicine (miscellaneous)Bioengineering02 engineering and technologyCryopreservationBiomaterialsAndrology03 medical and health sciences0302 clinical medicineMedicineSDSCryopreservationDecellularizationTissue EngineeringTissue Scaffoldsbusiness.industryTracheal histologyDecellularized tracheasAirway tissue engineeringGeneral Medicine020601 biomedical engineeringTracheal StenosisSus scrofa domesticaExtracellular MatrixTrachea030220 oncology & carcinogenesisFISICA APLICADAbusiness
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