Results 121 to 130 of about 24,751,639 (251)

Predictive Value of Composite Inflammatory Markers for Stroke Prognosis: A Prospective Cohort Study

open access: yesAnnals 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

Surrogate-based Robust Shape Optimization for Vane Clusters

open access: yes, 2015
The paper is aimed to describe the robust optimization process for a shape optimization of a low pressure turbine (LPT) guide vane cluster. The multidisciplinary analysis, needed to evaluate multidisciplinary constraints, which drive the vane cluster ...
Arsenyev, I.; Duddeck, F.; Fischersworring-Bunk, A.
core   +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

open access: yesAnnals 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

microRNA‐7‐5p and α‐Synuclein SAA Predict Parkinson's Disease Phenoconversion

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Corroborate blood neuron‐derived extracellular vesicle (NDEV) alpha‐synuclein (αSyn), the CSF αSyn seed amplification assay (αSyn‐SAA), and blood microRNA‐7‐5p (miR‐7‐5p) as markers for Parkinson's disease (PD) phenoconversion and determine if combining these markers would help select subjects who would be more likely to phenoconvert.
Shayan Zadegan   +4 more
wiley   +1 more source

Optimization with missing data

open access: yes, 2006
Engineering optimization relies routinely on deterministic computer based design evaluations, typically comprising geometry creation, mesh generation and numerical simulation.
Sobester, Andras   +2 more
core   +1 more source

Multi-Objective Optimization Based on Kriging Surrogate Model and Genetic Algorithm for Stiffened Panel Collapse Assessment

open access: yesApplied Mechanics
A hyperparameter-optimized Kriging surrogate model was developed for the structural collapse behavior framework presented in this paper. The assessment is conducted on a stiffened panel subject to axial load and lateral pressure, typical of the deck ...
João Paulo Silva Lima   +4 more
doaj   +1 more source

Diffusion Basis Spectrum Imaging of Tissue Microstructure and Early Treatment in Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Conventional MRI cannot resolve the coexisting pathological processes within multiple sclerosis tissue. Diffusion Basis Spectrum Imaging decomposes the diffusion signal into fiber, cell, and hindered ratios indexing axonal integrity, cellularity, and extracellular space, respectively.
Apisit Kaewsanit   +10 more
wiley   +1 more source

Neural space mapping optimization for EM-based design of RF and microwave circuits [PDF]

open access: yes, 2000
We review Neural Space Mapping (NSM) optimization for electromagnetic-based design of RF and microwave circuits. NSM optimization exploits our Space Mapping-based neuromodeling techniques to efficiently approximate a suitable mapping at each iteration.
Bandler, John W.   +4 more
core  

Risk-sensitive collaborative parameter tuning via calibrated deep surrogates for rare-earth electrolysis energy efficiency

open access: yesScientific Reports
Improving energy efficiency in rare-earth molten salt electrolysis is challenging due to strong process nonlinearity, limited evaluation budgets, and strict operational constraints.
Yu Liu, Jun Peng, Fan Yang, Haitao Guo
doaj   +1 more source

A Two‐Stage Plasma Biomarker Algorithm Reduces Amyloid PET Use and the p‐Tau217 Gray Zone

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Plasma p‐Tau217 leaves 30%–50% of patients in an indeterminate “gray zone” often requiring Aβ‐PET. We developed GRAD (Gatekeeper‐Reflex for Alzheimer's Disease), a two‐stage Aβ‐positivity prediction model to improve classification while reserving Aβ‐PET for residual uncertainty.
Harthik Parankusham   +7 more
wiley   +1 more source

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