Cutaneous Lupus Erythematosus (CLE) is a form of lupus that affects the skin and is highly sensitive to ultraviolet (UV) light. UV-B. in particular. can trigger inflammation and apoptosis in CLE patients. making a sun...
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Deaf people are people who are unable to communicate with spoken language. Deaf people communicate with the Indonesian Sign System or commonly known as SIBI. In fact, deaf people often communicate and socialize with n...
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In Internet of Vehicles, a multi-factor weighted relay-node selection method is proposed to address the problem that single-hop relay node performance is optimal but its multi-hop is not optimal, which exists on the g...
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Revegetation of former agricultural land is a key option for climate change mitigation and nature *** and abandonment of agricultural land is typically influenced by trends in diets and agricultural inten-sification,w...
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Revegetation of former agricultural land is a key option for climate change mitigation and nature *** and abandonment of agricultural land is typically influenced by trends in diets and agricultural inten-sification,which are two key parameters in the Shared Socioeconomic Pathways(SSPs).Datasets mapping future land dynamics under different SSPs and climate change mitigation targets stem from different scenario assump-tions,land data and modelling *** study aims to determine the role that these three factors play in the estimates of the evolution of cropland and pastureland in future SSPs under different climate scenarios from four main datasets largely used in the climate and land surface *** datasets largely agree with the rep-resentation of cropland at present-day conditions,but the identification of pastureland is ambiguous and shows large discrepancies due to the lack of a unique land-use *** occur with future projections,even for the same SSP and climate *** for CO_(2)sequestration from revegetation of abandoned agri-cultural land and CO_(2)emissions from forest clearance due to agricultural expansion shows a net reduction in vegetation carbon stock for most SSPs considered,except ***,different datasets give differences in estimates,even when representative of the same *** SSP1,the cumulative increase in carbon stock until 2050 is 3.3 GtC for one dataset,and more than double for *** study calls for a common classifica-tion system with improved detection of pastureland to harmonize projections and reduce variability of outcomes in environmental studies.
Newborn brains rapidly learn to solve challenging object perception tasks, including segmenting objects from backgrounds and recognizing objects across new viewing situations. Conversely, modern machine learning (ML) ...
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Grain boundaries(GBs)can be treated as two-dimensional(2-D)interfacial phases(also called“complexions”)that can undergo interfacial phase-like *** bulk phase diagrams and calculation of phase diagram(CALPHAD)methods...
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Grain boundaries(GBs)can be treated as two-dimensional(2-D)interfacial phases(also called“complexions”)that can undergo interfacial phase-like *** bulk phase diagrams and calculation of phase diagram(CALPHAD)methods serve as a foundation for modern materials science,we propose to extend them to GBs to have equally significant *** perspective article reviews a series of studies to compute the GB counterparts to bulk phase ***,a phenomenological interfacial thermodynamic model was developed to construct GB lambda diagrams to forecast high-temperature GB disordering and related trends in sintering and other properties for both metallic and ceramic *** parallel,an Ising-type lattice statistical thermodynamic model was utilized to construct GB adsorption(segregation)diagrams,which predicted first-order GB adsorption transitions and critical *** two simplified thermodynamic models emphasize the GB structural(disordering)and chemical(adsorption)aspects,***,hybrid Monte Carlo and molecular dynamics atomistic simulations were used to compute more rigorous and accurate GB“phase”*** GB diagrams of thermodynamic and structural properties were further extended to include mechanical ***,machine learning algorithms were combined with atomistic simulations to predict GB properties as functions of four independent compositional variables and temperature in a 5-D space for a given GB in high-entropy alloys or as functions of five GB macroscopic(crystallographic)degrees of freedom plus temperature and composition for a binary alloy in a 7-D *** relevant studies are also *** perspective and outlook,including two emerging fields of high-entropy grain boundaries(HEGBs)and electrically(or electrochemically)induced GB transitions,are discussed.
Two-dimensional (2D) materials have excellent electronic and thermal properties that could help to improve the performance of electronic devices and circuits. However, scalable 2D materials synthesis and their integra...
This study characterizes a CJ hydrogen-air detonation using high-speed Rayleigh scattering and single-shot planar laser-induced fluorescence of nitric oxide (NO-PLIF). Firstly, we demonstrate that a Nd:YAG laser clust...
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Selective area electron diffraction(SAED)patterns can provide valuable insight into the structure of a ***,the manual identification of collected patterns can be a significant bottleneck in the overall phase classific...
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Selective area electron diffraction(SAED)patterns can provide valuable insight into the structure of a ***,the manual identification of collected patterns can be a significant bottleneck in the overall phase classification *** this work,we utilize the recent advances in computer vision and machine learning(ML)to automate the indexing of SAED *** performance of six different ML algorithms is demonstrated using metallic plutonium-zirconium *** most successful approach trained a neural network(NN)to make a classification of the phase and zone axis,and then utilized a second NN to synthesize multiple independent predictions of different tilts in a single sample to make an overall phase *** results demonstrate that automated SAED phase identification using ML is a viable route to accelerate materials characterization.
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