Results 81 to 90 of about 1,723,272 (287)

Data‐Driven SuStaIn Model of Disability Progression in Amyotrophic Lateral Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether ordinal Subtype and Stage Inference (SuStaIn) applied to routine ALSFRS‐R item scores can identify reproducible disability progression patterns in amyotrophic lateral sclerosis (ALS) and provide clinically meaningful staging.
Giammarco Milella   +5 more
wiley   +1 more source

Curve, 2012

open access: yes, 2012
Colour photograph of the completed Curve which looms large next to the older buildings of the ...
Hyde, Colin;
core  

Beyond Visual Scoring: Computational Computed Tomography Analysis for High‐Resolution Computed Tomography–Based Quantification of Interstitial Lung Disease in Inflammatory Rheumatic Disease

open access: yesArthritis Care &Research, EarlyView.
Interstitial lung disease (ILD) is a significant cause of morbidity and mortality in patients with inflammatory rheumatic disorders (IRDs). High‐resolution computed tomography (HRCT) is widely considered the gold standard for the noninvasive assessment of ILD; however, its interpretation is constrained by substantial interobserver variability and the ...
Alexander Pfeil   +7 more
wiley   +1 more source

Curve Theatre interior.

open access: yes, 2014
Colour photograph of the interior of the Curve Theatre, Leicester, showing lighting equipment in the stage ...
Barnes, Amy
core  

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

open access: yesAdvanced Engineering Materials, EarlyView.
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

Triple-source saddle-curve cone-beam photon counting CT image reconstruction: A simulation study

open access: yesZeitschrift für Medizinische Physik
Purpose: The most common detector material in the PC CT system, cannot achieve the best performance at a relatively higher photon flux rate. In the reconstruction view, the most commonly used filtered back projection, is not able to provide sufficient ...
Lin Xin   +4 more
doaj   +1 more source

Thermodynamic Pathways of Nonequilibrium Solidification in Wire‐Arc Additive Manufacturing Fe‐Based Multicomponent Alloy Structures

open access: yesAdvanced Engineering Materials, EarlyView.
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios   +5 more
wiley   +1 more source

Assessment of the Male Urethral Reconstruction Learning Curve [PDF]

open access: yes, 2016
ObjectiveTo evaluate the urethroplasty learning curve. Published success rates of urethral reconstruction for urethral stricture disease are high even though these procedures can be technically demanding. It is likely that success rates improve with time
Tam, Christopher A   +8 more
core   +1 more source

Low‐Angle Grain Boundaries and Re‐Segregation in Single‐Crystalline Ni‐Base Superalloys

open access: yesAdvanced Engineering Materials, EarlyView.
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

Mathematical Modeling of Smooth Curve from Sampled Data via the Discrete Biharmonic Equation

open access: yesEast African Journal of Biophysical and Computational Sciences
Curve reconstruction is the process of estimating a smooth function or curve that fits a given set of data points, either exactly (interpolation) or approximately (fitting).
Samson Seifu Bekele   +1 more
doaj   +1 more source

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