Results 191 to 200 of about 59,522 (246)

A network analysis of mental, somatic health, and perceived social supports among Chinese pregnant and postpartum women. [PDF]

Glob Health Action
Li R, Lu L, Li ZW, Qin XD, Ren D, Guang H, Mi B, Zhou Z, Liu S, Lai S, Shen Q, Bai Y.   +11 more
europepmc   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source

Artificial intelligence to meet the psychosocial needs of cancer patients: a systematic review of randomized controlled trials. [PDF]

Rev Assoc Med Bras (1992)
Kılınç ND, Oflaz F.
europepmc   +1 more source

AI‐Assisted Digital Single‐Molecule Activity Tracker for Decoupling Intrinsic Heterogeneity from Photo‐Oxidative Damage in High‐Photon‐Flux Enzymology

Advanced Science, EarlyView.
Employing a digital single‐molecule activity tracker (dSMAT), this research demonstrates that high‐photon‐flux irradiation drives progressive oxidative scarring in polymerases. Unlike simple thermal denaturation, real‐time kinetic tracking dynamically visualizes enzymes degrading into multiple impaired subpopulations.
Anran Zheng, Qi Yang, Jinze Li, Fuqiang Ma, Xuefeng Wang, Zhen Guo, Chuanyu Li, Dongshu Li, Jia Yao, Zhiqi Zhang, Wei Zhang, Lianqun Zhou   +11 more
wiley   +1 more source

Development and validation of a machine learning-based risk prediction model for cancer-related fatigue in ovarian cancer patients. [PDF]

Front Oncol
Feng R, Fan Z, Pang Y, Ding Q, Yue Q, Wei S.   +5 more
europepmc   +1 more source

A Versatile‐Designable Framework for Active and Programmable Shape‐Morphing Soft Matter Systems: From Inverse Design to Closed‐Loop Control

Advanced Science, EarlyView.
A versatile framework integrates addressable electrothermal actuation and strain‐constraint mechanisms to construct programmable shape‐morphing soft matter systems. By combining an analytical inverse design strategy for high‐fidelity 3D surface reconstruction with deep learning‐based closed‐loop control, this approach enables zero‐energy shape locking,
Kai Liu, Peiling Xie, Ruitong Song, Banghan Liu, Rui Guo, Jiu‐an Lv   +5 more
wiley   +1 more source

A neuropsychological perspective on sensory hypersensitivity after acquired brain injury. [PDF]

Brain Commun
Heijman JO, Marzolla MC, Thielen H, Spielmann K, Königs M, Gillebert CR, van Heugten CM, van der Stoep N, Huenges Wajer IMC.   +8 more
europepmc   +1 more source

Coupled Electronic and Ionic Conductivity in Strain‐Stiffening Hydrogels

Advanced Science, EarlyView.
A soft PVA–PABA hydrogel is developed that couples tissue‐like strain‐stiffening mechanics with dual ionic–electronic conduction. Dynamic boronic crosslinks enable self‐assembled percolative pathways, producing deformation‐responsive resistance with a stabilization plateau at stiffening onset, revealing alignment‐assisted charge transport and advancing
Md Al Raihan, Mark M. A. Mikhail, Khaled M. Hijazi, Hessameddin Yaghoobi, John P. Frampton, Vahid Adibnia, Michael S. Freund   +6 more
wiley   +1 more source

Neurorehabilitation in Transition: Neuroplasticity, Meaningful Outcomes, and Intelligent Technologies in the Highly Cited <i>Brain Sciences</i> Papers of 2024. [PDF]

Brain Sci
Calabrò RS.
europepmc   +1 more source

Strain‐Adaptive Dielectric Metamaterials via Bioinspired “Ligament‐Bone” Architecture for Ultrahigh‐Energy Capacitive Storage

Advanced Science, EarlyView.
A bioinspired strain‐adaptive ligament‐bone architecture achieves record‐high energy density of 26.1 J cm−3 and 90% efficiency at 600 MV m−1, coupled with a Young's modulus of 2.13 GPa. ABSTRACT Polymer dielectrics for capacitive energy storage face fundamental trade‐offs between breakdown strength, energy density, efficiency, and mechanical robustness.
Jian Wang, Xinyu Wang, Jiabao Wang, Biyun Peng, Yifei Zhang, Ning Zhu, Xin Hu   +6 more
wiley   +1 more source