Results 151 to 160 of about 1,063,117 (236)

Ultrasound‐Activatable Piezoelectric Hydrogel Reprograms Mitochondrial Epigenetics for Osteoarthritis Therapy via the mTOR/GATD3A Axis

Advanced Science, EarlyView.
An ultrasound‐activatable piezoelectric hydrogel reprograms chondrocyte mitochondrial epigenetics via the mTOR/GATD3A axis, clearing damaged mitochondria and alleviating osteoarthritis progression in both mouse models and human cartilage explants. ABSTRACT The avascular nature of cartilage hinders drug delivery for osteoarthritis (OA) therapy.
Hui Zheng, Pengfei Yan, Peng Liu, Chang Yan, Mengqi Zhao, Zuyong Wang, Chao Ma, Rongkai Zhang, Xi Cui, Swee Hin Teoh   +9 more
wiley   +1 more source

Multi-sensor IoT data and AI-driven adaptive control model for library indoor environments. [PDF]

PLoS One
Zhang M.
europepmc   +1 more source

Physics‐Informed Neural Network‐Enabled Forward Prediction and Inverse Design of Ring Origami

Advanced Science, EarlyView.
This work presents a KRT‐PINN framework that integrates Kirchhoff rod theory with physics‐informed neural networks for the forward prediction and inverse design of ring origami consisting of closed‐loop rods. The framework predicts stable states of segmented rings with prescribed natural‐curvature profiles and determines the natural‐curvature profiles ...
Luyuan Ning, Lu Lu, Sophie Leanza, Ruike Renee Zhao   +3 more
wiley   +1 more source

Multi-dimensional model and interactive simulation of intelligent construction based on digital twins. [PDF]

Sci Rep
Zhou J.
europepmc   +1 more source

Plaid‐Like Spin Splitting and Chirality of Magnon Bands in Antiferromagnetic MnTe2

Advanced Science, EarlyView.
Helicity‐ and angle‐resolved Raman spectroscopy reveals chiral magnons in the non‐coplanar antiferromagnet MnTe 2. Combined with first‐principles calculations and spin‐wave theory, the results establish its altermagnetic character through circular Raman dichroism, reduced rotational symmetry, and a distinctive plaid‐like momentum‐space magnon spin ...
Dirk Wulferding, Daehyeon An, Jiwon Choi, Dongmin Moon, Youngsu Choi, Sivasakthi Kuppusamy, Sritharan Krishnamoorthi, Raman Sankar, Myung Joon Han, Se Kwon Kim, Kwang‐Yong Choi   +10 more
wiley   +1 more source

COLLECTiEF dataset: A high-resolution indoor environmental dataset from European buildings across diverse climates supporting thermal, air-quality, and visual-comfort assessments. [PDF]

Data Brief
Campodonico-Avendano IA, Erba S, Papadopoulos P, Carlucci S, Luparelli A, Ingrosso A, Tresoldi G, Shahid MS, Wurtz F, Delinchant B, Leinan PM, Cera S, Riederer P, Solli R, Moazami A, Aghaei M.   +15 more
europepmc   +1 more source

Wake‐Up and Fatigue under Electrical Cycling in HfO2‐Based Ferroelectrics: Mechanisms and Strategies toward Reliable Devices

Advanced Science, EarlyView.
HfO2‐based ferroelectrics exhibit wake‐up and fatigue behaviors during electrical cycling, significantly affecting device endurance and reliability. These phenomena are governed by defect dynamics, including oxygen vacancy redistribution and charge trapping.
Hongseok Kim, Shinhyeong Lee, Hyojun Choi, Minseung Park, Hyunah Cho, Min Hyuk Park, Yunseok Kim   +6 more
wiley   +1 more source

Deep learning and multi-objective optimization for real-time occupancy-based energy control in smart buildings. [PDF]

Sci Rep
Zhang S, Kong C.
europepmc   +1 more source

Ferroelectric Catalysts in the Hydrogen Evolution Reaction: A Perspective

Advanced Science, EarlyView.
This perspective summarizes recent advances in ferroelectric (FE) catalysts for the hydrogen evolution reaction (HER). It first introduces HER fundamentals and FE mechanisms, then classifies FE catalysts into single‐phase, single‐atom‐modified, heterostructured, and other engineered types, with representative examples.
Rongxuan Lu, Weizhen Meng, Zhenxiang Cheng, Judy N. Hart, Michael Ferry, Sean Li, Wenxian Li   +6 more
wiley   +1 more source

Physics‐Aware Machine‐Learning‐Driven Inverse Design of Broadband Ultra‐Open Acoustic Metamaterials

Advanced Science, EarlyView.
A physics‐aware machine‐learning framework enables inverse design of ultra‐open acoustic silencers by decoupling spectral and radial design spaces. The approach rapidly identifies broadband, compact, and highly ventilated architectures, while revealing hidden linear design rules that link geometry, impedance matching, and acoustic performance.
Zhiwei Yang, Mengyu Li, Xiaohang Xie, Ao Chen, Thomas G. Bifano, Xin Zhang   +5 more
wiley   +1 more source