Results 191 to 200 of about 513,547 (285)

Remote Video Assessment of Ataxia via SARAhome: Correlation of Pose‐Derived Endpoints with Clinician Severity Ratings

open access: yesMovement Disorders Clinical Practice, EarlyView.
Abstract Background Remote assessment of ataxia is increasingly important for patient‐centered care and clinical research. SARAhome, a validated video‐based adaptation of the Scale for the Assessment and Rating of Ataxia (SARA), enables self‐administration of key motor tasks at home.
Rabia Aziza   +17 more
wiley   +1 more source

Lewy Body Disease Across Aging: Clinical and Neuropathological Correlates in a Population Brain Bank

open access: yesMovement Disorders, EarlyView.
Abstract Background Lewy body disease (LBD) is defined by neuronal α‐synuclein pathology, but how Braak‐staged LBD relates to mixed neuropathology and clinical manifestations within a single population‐based cohort remains incompletely characterized. This is especially relevant in cohorts enriched for younger individuals, which may better inform real ...
Vitor Ribeiro Paes   +13 more
wiley   +1 more source

Regional Mitochondrial Density Maps Selective Posterior Atrophy in Parkinson's Disease

open access: yesMovement Disorders, EarlyView.
Abstract Background Mitochondrial dysfunction has been implicated in the pathobiology of Parkinson's disease (PD), yet the spatial relationship between regional energetic demand and patterns of neurodegeneration remains poorly understood, limiting mechanistic insight and development of disease‐modifying therapies.
Ajay Konuri   +7 more
wiley   +1 more source

Inverse Design of Copolyamides via Sequence‐Sensitive Multifidelity Hybrid Models and Teacher–Student Genetic Algorithm

open access: yesMaterials Genome Engineering Advances, EarlyView.
A sequence‐sensitive multi‐fidelity hybrid modeling framework combined with a teacher‐student genetic algorithm enables the inverse design of copolyamides. The hybrid model balances prediction accuracy, sequence‑sensitivity, and computational cost. A two‑tier genetic algorithm can efficiently identify the monomer structures and ratios of copolyamides ...
Sheng Chen   +8 more
wiley   +1 more source

Novel Ensemble Prediction Framework for Fast and Accurate Phase Prediction in FeNiCoCrAlCu High‐Entropy Alloys by Integrating Data Augmentation and Interpretable Methods

open access: yesMaterials Genome Engineering Advances, EarlyView.
A physics‐informed machine learning framework is established for phase prediction in FeNiCoCrAlCu HEA. Limited experimental data are expanded through GMM‐based augmentation, followed by descriptor calculation, Pearson‐PCA feature optimization, stacking ensemble classification, and SHAP interpretation, enabling accurate phase identification and ...
Ruixiao Zhang   +5 more
wiley   +1 more source

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