Results 81 to 90 of about 13,707,469 (301)
Comparison of two approaches to compute magnetic field in problems with random domains [PDF]
, 2012 This paper is a postprint of a paper submitted to and accepted for publication in Science, Measurement & Technology, IET and is subject to Institution of Engineering and Technology Copyright.
MAC, Duy Hung +2 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Neurochemical levels measured by brain MR spectroscopy (MRS) have been proposed as endpoints for clinical trials in early‐stage spinocerebellar ataxia (SCA) trials. We tested their trial‐readiness by quantifying neurochemicals in three affected brain regions in early‐stage cohorts of SCA2 and SCA3, examining their reproducibility in ...
James M. Joers +19 more
wiley +1 more source
Mapping of intact forest landscapes in Sweden according to Global forest watch methodology [PDF]
, 2002 Currently, most of the world’s forests are directly or indirectly affected by some kind of human activity. More people are getting concerned with the state of tropical forests.
Hájek, Filip
core
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To investigate which baseline clinical and imaging characteristics best predict TSPO‐PET‐measurable reduction in glial activation following treatment of multiple sclerosis (MS), to utilize this information for designing more efficient biomarker‐based clinical trials targeting glial activation.
Marlene T. Morch +5 more
wiley +1 more source
Predictive Value of Composite Inflammatory Markers for Stroke Prognosis: A Prospective Cohort Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Novel composite inflammatory markers' role in stroke prognosis is understudied, and the best predictor is unclear, requiring further exploration. Objectives This study aimed to systematically evaluate the associations of 6 novel composite inflammatory markers on stroke prognosis.
Bing Wu +7 more
wiley +1 more source
Geomatics, Natural Hazards & RiskAfter mine closure, large-scale polluted groundwater bodies develop in the goafs, posing severe threats to regional karst aquifers. This study systematically analyzed contamination mechanisms in closed goaf, and proposed prioritizing the determination of
Bo Li +5 more
doaj +1 more source
Fault diagnosis method of submersible screw pump based on random forest.
PLoS ONE, 2020 The difficulty in directly determining the failure mode of the submersible screw pump will shorten the life of the system and the normal production of the oil well.
Minzheng Jiang +4 more
doaj +1 more source
A survey and taxonomy of methods interpreting random forest models
CoRRThe interpretability of random forest (RF) models is a research topic of growing interest in the machine learning (ML) community. In the state of the art, RF is considered a powerful learning ensemble given its predictive performance, flexibility, and ease of use.
Maissae Haddouchi, Abdelaziz Berrado
openaire +3 more sources
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
Annals of Clinical and Translational Neurology, EarlyView.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
Objective: The purpose of this article was to use the Random Forest method and nonlinear mixed-effects method to develop a model for determining tree height–diameter at breast height (DBH) for a natural coniferous and broad-leaved mixed forest in ...
Sheng Hu +4 more
core +1 more source