Results 111 to 120 of about 4,848,746 (337)
Objective This study investigated whether sleep disturbance can predict the extent to which pain interferes with daily functioning in patients with early rheumatoid arthritis (RA). Methods Data were from adults with early RA (joint symptoms ≤12 months) enrolled in the Canadian Early Arthritis Cohort between 2016 and 2023.
Burcu Aydemir+16 more
wiley +1 more source
Investigation of critical burning of fuel droplets [PDF]
Fuel droplets were simulated by porous spheres having diameters in the range 0.63 to 1.9 cm and combustion tests were conducted at pressures up to 78 atm in a quiescent cold air environment.
Allison, C. B., Canada, G. S.
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Performance Triggered Adaptive Model Reduction for Soil Moisture Estimation in Precision Irrigation
ABSTRACT Accurate soil moisture information is essential for precise irrigation to enhance water use efficiency. Estimating soil moisture based on limited soil moisture sensors is especially critical for obtaining comprehensive soil moisture information when dealing with large‐scale agricultural fields.
Sarupa Debnath+4 more
wiley +1 more source
Exuberance, A Motivation for Language [PDF]
The following is part of the presidential address from Allen Walker Read, given before LACUS (Linguistic Association of Canada and the United States) at its annual meeting, August 7, 1987, at York University, Toronto, Ontario, Canada. It is reprinted by
Read, Allen Walker
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This study develops a tissue‐engineered model of the atherosclerotic cap using human mesenchymal stromal cells (MSCs). After 2 weeks of culture to produce a collagenous matrix, a mineralizing medium induces microcalcifications over 4 weeks. These constructs, imaged with second harmonic generation microscopy, lead to reduced ultimate stress at rupture ...
Imke L. Jansen+4 more
wiley +1 more source
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani+2 more
wiley +1 more source
An Illustrated Flora of the Northern United States, Canada and the British Possessions [PDF]
Charles E. Bessey
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Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source