Results 31 to 40 of about 33,032 (255)
In Vitro Evaluation of Enamel Microhardness after Application of Two Types of Fluoride Varnish [PDF]
Introduction: Use of fluoride compounds is one of the most effective ways of preventing decay and among these varnishes have high acceptance among different fluoride products.
Fatemeh Molaasadolah +3 more
doaj +1 more source
Micro-hardness measurement of photopolymer in stereolithography.
The curing of liquid photopolymer is determined by the exposure (optical energy) deposited. In laser stereolithography, laser exposure is considered as non-homogenous within the radiation area. In order to investigate the difference of the cure degree within the cross section of a single cured strand, a micro-structure was evaluated by hardness ...
XU, Yi, IMAMURA, Masato, NAKAGAWA, Takeo
openaire +2 more sources
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
Study on the Test Conditions of Micro-hardness
Several experiments of micro-hardness have been performed on Al and Mg single crystal in order to clarify the effect of test conditions. The micro-hardness increased rapidly at first with the increasing of test load in the small load range, then decreased gradually and became finally independent of the test load.
openaire +3 more sources
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
Background: Teeth discoloration is considered disturbing performance, therefore bleaching become an option for teeth whitening. Hydrogen Peroxide (H2O2) is commonly used, it is beneficial for teeth whitening but in other hand it has adverse effectin ...
Dewi Ratma Utami +2 more
doaj +1 more source
Multimodal Data‐Driven Microstructure Characterization
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source
A two‐dimensional multiscale finite element analysis framework was established for the first‐generation MoSiBTiC alloy, and the mechanical and fracture‐related parameters of the constituent phases were calibrated through experiments and simulations. The framework provides a basis for analyzing crack propagation behavior in its complex microstructure ...
Junfeng Du +4 more
wiley +1 more source

