Results 91 to 100 of about 314,401 (249)
Improved Quantum Supersampling for Quantum Ray Tracing [PDF]
Xi Lu, Hongwei Lin
openalex +1 more source
Life‐Threatening Bradycardia in Anti‐NMDA‐Receptor Encephalitis and a Novel Use for Permanent Pacing
ABSTRACT Background Pediatric anti‐NMDA receptor encephalitis (pNMDARE) is an autoantibody‐mediated disorder that can cause severe autonomic dysfunction, including symptomatic bradycardia and asystole. Dysautonomia can last for years, making it very challenging to manage.
Sarah Tucker +9 more
wiley +1 more source
How is “solidarity” understood in discussions about contact tracing apps? An overview
Max Tretter
openalex +1 more source
Traumatic Microhemorrhages Are Not Synonymous With Axonal Injury
ABSTRACT Diffuse axonal injury (DAI) is caused by acceleration‐deceleration forces during trauma that shear white matter tracts. Susceptibility‐weighted MRI (SWI) identifies microbleeds that are considered the radiologic hallmark of DAI and are used in clinical prognostication.
Karinn Sytsma +9 more
wiley +1 more source
Objective Foot orthoses are thought to improve pain by potentially modifying internal mechanical forces. To test this, we explored whether foot orthoses can modify patterns of bone marrow lesions (BMLs) in people with midfoot pain. Methods Forty‐two people were recruited with midfoot pain, and magnetic resonance imaging–confirmed midfoot BMLs ...
Jill Halstead +4 more
wiley +1 more source
Beyond Inflammation: Why Understanding the Brain Matters in Inflammatory Arthritis
Persistent pain remains a major challenge in inflammatory arthritis, even when joint inflammation is well controlled. Pain and associated symptoms such as fatigue cannot be explained by peripheral inflammation alone but reflect altered central pain processing. These changes may arise through “top‐down” mechanisms, reflecting pre‐existing dysfunction in
Eoin M. Kelleher +2 more
wiley +1 more source
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley +1 more source
Employing Hybrid AI Systems to Trace and Document Bias in ML Pipelines
Artificial Intelligence (AI) systems can introduce biases that lead to unreliable outcomes and, in the worst-case scenarios, perpetuate systemic and discriminatory results when deployed in the real world.
Mayra Russo +4 more
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

