Results 41 to 50 of about 48,676 (259)
A Two‐Stage Questionnaire and Actigraphy Screening for iRBD in a Multicenter Retrospective Cohort
ABSTRACT Objective Isolated rapid‐eye‐movement sleep behavior disorder is a prodromal marker of synucleinopathies. However, most cases remain undiagnosed due to the insufficient predictive value of questionnaires and limited access to confirmatory video‐polysomnography. We assessed a two‐stage screening strategy combining a brief questionnaire on rapid‐
Caleb A. Massimi +17 more
wiley +1 more source
Geometric Error Analysis and Compensation of Rotary Axes of Five-axis Machine Tools
The position independent geometric errors (PIGEs) of the rotating axes of five-axis machine tools caused by the assembly are the key factor to determine the accuracy of the machine. Quantization analysis of the influence of PIGEs on the accuracy of error
Shijie GUO, Dongsheng ZHANG
doaj
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
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
Analysis of kinematic motion deviations of machining centers based on geometric tolerances
The objectives of the present research are to investigate relationships between kinematic motion deviations of machine tools and geometric tolerances of their components, to propose mathematical models representing kinematic motion deviations of five ...
Atsushi TAKAHASHI +5 more
doaj +1 more source
PSO-Based Feedrate Optimization Algorithm for Five-Axis Machining with Constraint of Contour Error
Feedrate has a great influence on contour error in five-axis machining. Accordingly, it is of great significance to plan the time-optimal feedrate curve considering the contour error constraint to achieve high-accuracy and high-efficiency machining ...
Jingwei Yang, Xiaolong Yin, Yuwen Sun
doaj +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Thermal errors induced by inefficient cooling in rotary tables of five-axis machine tools significantly degrade machining accuracy and increase energy consumption, posing a critical challenge for high-precision and sustainable manufacturing.
Tze-Yin Lin, Kun-Yin Li
doaj +1 more source
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora +4 more
wiley +1 more source
Low‐Angle Grain Boundaries and Re‐Segregation in Single‐Crystalline Ni‐Base Superalloys
This work demonstrates that Re‐segregation at low‐angle grain boundaries (LAGBs) in Ni‐base superalloys is influenced by misorientation angle. Advanced microscopy and atom probe tomography reveal that higher misorientation angles increases Re‐segregation.
Alireza B. Parsa +9 more
wiley +1 more source

