A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley +1 more source
Effect of illness perception on self-regulatory fatigue in older adult patients with hypertension: chain-mediating role of self-efficacy and coping style. [PDF]
Lu T, Shi L, Zhang H, Zhang J, Shen Y.
europepmc +1 more source
Confrontation and the Unavailable Witness: Searching for a Standard [PDF]
Hurley, Brian J.
core +2 more sources
It is a fact that slippage causes tracking errors in both longitudinal and lateral directions which results to have less travel distance in tracking a reference trajectory. Less travel distance means having energy loss of the battery and carrying loads less than planned.
Gokhan Bayar +2 more
wiley +1 more source
The impact of illness perception on self-transcendence in gastric cancer patients undergoing chemotherapy: the chain mediating effect of hope levels and coping styles. [PDF]
Wang Q +6 more
europepmc +1 more source
Bubbles Acting as Micro End‐Effectors for Dexterous Manipulation and Sensing in Aqueous Environment
Inspired by bubbles, this article proposes a low‐cost method for multifunctional manipulation and sensing using microbubbles in aqueous environments. Bubbles are easily generated in situ, enabling the safe and adaptive handling of microobjects and sensing of microforces and surface textures.
Zichen Xu, Qingsong Xu
wiley +1 more source
The role of self-efficacy in self-management behaviours among patients with rheumatoid arthritis: A cross-sectional study based on the Information-Motivation-Behavioural skills model. [PDF]
Chen J +6 more
europepmc +1 more source
Riemannian Geometry for the Classification of Brain States with Intracortical Brain Recordings
Geometric machine learning is applied to decode brain states from invasive intracortical neural recordings, extending Riemannian methods to the invasive regime where data is scarcer and less stationary. A Minimum Distance to Mean classifier on covariance manifolds uses geodesic distances to outperform convolutional neural networks while reducing ...
Arnau Marin‐Llobet +9 more
wiley +1 more source
Latent Profile Analysis and Influencing Factors Associated with the Coping Styles of Dyspnea-Related Fear Among Patients with Chronic Obstructive Pulmonary Disease: A Multicenter Cross-Sectional Study. [PDF]
Miao X +9 more
europepmc +1 more source

