Results 71 to 80 of about 608,248 (296)

Plasma Proteomic Signatures for Alzheimer's Disease: Comparable Accuracy to ATN Biomarkers and Cross‐Platform Validation

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background There is growing recognition of the potential of plasma proteomics for Alzheimer's Disease (AD) risk assessment and disease characterization. However, differences between proteomics platforms introduce uncertainties regarding cross‐platform applicability.
Manyue Hu   +9 more
wiley   +1 more source

A Survey on the inconsistencies of writing affiliations of the organizations and research centers and its influence on the recall of retrievals in Thomson Reuters [PDF]

open access: yesکتابداری و اطلاع‌رسانی, 2017
Purpose:  The aim of this study was to identify the inconsistencies of recording the titles of institutes and research center affiliated with the Iranian Ministry of Science, Research and Technology (MSRT) and its consequences on the recall of retrievals
Marzieh Goltaji, Javad Abbaspour
doaj  

Agreement of Administrative Pharmacy Dispensing With Self‐Reported Use of Oral Prednisone in US Veterans With Rheumatoid Arthritis

open access: yesArthritis Care &Research, EarlyView.
Objective Administrative claims are used to evaluate oral glucocorticoid use in rheumatoid arthritis (RA), despite limited evidence to support accuracy. We aimed to evaluate the performance of claims‐based algorithms for glucocorticoid use compared to self‐report in an RA population.
Beth I. Wallace   +16 more
wiley   +1 more source

Data from “A Registered Report Testing the Effect of Sleep on DRM False Memory: Greater Lure and Veridical Recall but Fewer Intrusions After Sleep”

open access: yesJournal of Open Psychology Data
This paper describes a rich dataset from a registered report investigating sleep’s effect on false memory in the Deese-Roediger-McDermott (DRM) paradigm.
Matthew H. C. Mak
doaj   +1 more source

Development of a personalized visualization and analysis tool to improve clinical care in complex multisystem diseases with application to scleroderma

open access: yesArthritis Care &Research, Accepted Article.
Background In complex diseases, it is challenging to assess a patient's disease state, trajectory, treatment exposures, and risk of multiple outcomes simultaneously, efficiently and at the point of care. Methods We developed an interactive patient‐level data visualization and analysis tool (VAT) that automates illustration of a scleroderma patient's ...
Ji Soo Kim   +18 more
wiley   +1 more source

The limbic-reticular coupling theory of memory processing in the brain and its greater compatibility over other theories

open access: yesDementia & Neuropsychologia
The limbic-reticular coupling theory suggests that the hippocampus and amygdala regulate such descending limbic structures as the mammillary bodies, septum, hypothalamus and epithalamus to regulate the ascending noradrenergic, serotonergic, dopaminergic ...
Zi-Jian Cai
doaj   +1 more source

Cost‐effectiveness of low dose colchicine prophylaxis when starting allopurinol using the “start‐low go‐slow” approach for gout: evidence from a non‐inferiority randomised double‐blind placebo‐controlled trial.

open access: yesArthritis Care &Research, Accepted Article.
Objective The aim of this study was to investigate the cost‐effectiveness of low‐dose colchicine prophylaxis for preventing gout flares when starting allopurinol using the “start‐low go‐slow” approach. Methods Participants with gout, fulfilling the American College of Rheumatology recommendations for starting urate‐lowering therapy and with serum urate
Yana Pryymachenko   +4 more
wiley   +1 more source

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva   +4 more
wiley   +1 more source

Detecting Dengue in Flight: Leveraging Machine Learning to Analyze Mosquito Flight Patterns for Infection Detection

open access: yesAdvanced Biology, EarlyView.
Dengue infection alters mosquito flight behavior, enabling detection using machine learning classifiers. This study analyzes 3D flight trajectories and evaluates multiple models, showing that longer sequence lengths improve classification performance.
Nouman Javed   +3 more
wiley   +1 more source

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

open access: yesAdvanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi   +4 more
wiley   +1 more source

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