Results 241 to 250 of about 328,604 (299)

Predicting ACL Reconstruction Failure with Machine Learning: Development of Machine Learning Prediction Models. [PDF]

open access: yesOrthop J Sports Med
Alaiti RK   +5 more
europepmc   +1 more source

The Frequency‐Domain Lattice Boltzmann Method (FreqD‐LBM): A Versatile Tool to Predict the QCM Response Induced by Structured Samples

open access: yesAdvanced Theory and Simulations, EarlyView.
FreqD‐LBM simulates the oscillatory flow at the surface of a QCM‐D resonator in the presence of structured adsorbates. It derives shifts of frequency and bandwidth (equivalent to dissipation) on different overtones. Applications include rough surfaces, adsorbed rigid particles, adsorbed viscoelastic particles, spheres floating freely above the surface,
Diethelm Johannsmann   +5 more
wiley   +1 more source

Density of States and Binding Energy Informatics for Exploring Early Disease Detection in MOF‐Metal Oxide Chemiresistive Sensors

open access: yesAdvanced Theory and Simulations, EarlyView.
Binding energy and electronic structure calculations are used to assess the ability of metal–organic framework (MOF)‐TiO2 composite materials to detect volatile organic compounds found in human breath. Electronic structure changes are measured by comparing density of states profiles using Wasserstein distances.
Maryam Nurhuda   +3 more
wiley   +1 more source

Mechanochemistry: Fundamental Principles and Applications

open access: yesAdvanced Science, EarlyView.
In this review, the physicochemical principles of mechanochemistry are first clarified. Based on this foundation, the research basis and cutting‐edge scientific achievements in four areas are introduced: solid‐state organic chemistry, polymers, interface science, and biomechanochemistry.
Liang Dong   +4 more
wiley   +1 more source

Machine Learning Techniques for Simulating Human Psychophysical Testing of Low‐Resolution Phosphene Face Images in Artificial Vision

open access: yesAdvanced Science, EarlyView.
To evaluate the quality of artificial visual percepts generated by emerging methodologies, researchers often rely on labor‐intensive and tedious human psychophysical experiments. The present work investigates the capacity of standard machine learning models to accurately replicate quaternary match‐to‐sample tasks using low‐resolution facial images ...
Na Min An   +4 more
wiley   +1 more source

Complete Blood Count and Monocyte Distribution Width-Based Machine Learning Algorithms for Sepsis Detection: Multicentric Development and External Validation Study.

open access: yesJ Med Internet Res
Campagner A   +15 more
europepmc   +1 more source

Home - About - Disclaimer - Privacy