Results 211 to 220 of about 144,674 (291)

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

Advanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu   +8 more
wiley   +1 more source

Research on digital twin diagnosis model for the thermal-electric field of high-voltage switchgears. [PDF]

Sci Rep
Ding F, Ma Y, Li X, Huang J, Kang J.
europepmc   +1 more source

Transdermal Delivery of an mRNA‐Liposome Vaccine via Dissolving Microneedle to Preserve Vaccine Activity and Enhance Immune Activation

Advanced Science, EarlyView.
An mRNA‐liposome vaccine via dissolving microneedles (ML‐DMN) enables efficient skin‐targeted delivery while preserving mRNA integrity and allowing sustained antigen expression. Unlike intramuscular (IM) injection, ML‐DMN engages skin‐resident immune cells, activates antigen‐presenting cells (APCs), and induces strong T cell and cytokine responses at ...
Jeehye Nam, JiWon Ahn, Jiwoo Shin, Nahong Lee, Youjin Lee, Sung min Cho, Paul Kim, Geonwoo Kang, Sang‐Jun Ha, Hyungil Jung   +9 more
wiley   +1 more source

Fault Tree Reliability Analysis via Squarefree Polynomials: Mathematical and Experimental Analysis. [PDF]

SN Comput Sci
Lopuhaä-Zwakenberg M.
europepmc   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source

Optimized ANN-RF hybrid model with optuna for fault detection and classification in power transmission systems. [PDF]

Sci Rep
Uzel H, Özüpak Y, Alpsalaz F, Aslan E.
europepmc   +1 more source

Surface Plasmon Enhanced Photoluminescence of Carbon Dots Formed In Situ on Silver Gratings

Advanced Science, EarlyView.
Carbon emitters formed in situ on a silver grating via plasmonic catalysis yield enhanced spontaneous emission by preferential radiative decay into surface plasmons. Enhancement manifests as emission exhibiting characteristics of coherence (polarization, directionality), and accelerated lifetimes of ∼30 ps, yielding Purcell factors of ∼70.
Maryam Sadat Amiri Naeini, Jaspreet Walia, Luis Angel Mayoral‐Astorga, Hyung Woo Choi, Arnaud Weck, Pierre Berini   +5 more
wiley   +1 more source

Blockchain and federated Q-learning-based secure, fault tolerant, and energy efficient framework for ad hoc networks. [PDF]

PLoS One
Tandon R, Gupta PK, Cheng X.
europepmc   +1 more source

Deciphering the Evolution Pattern of Structural Variations Overlapped With Repetitive Sequence During Cattle Evolution

Advanced Science, EarlyView.
The authors complement bovine pan‐SV with massive novel structural variations (SVs) identified through long‐read sequencing of 83 globally distributed cattle breeds. Repetitive sequence‐mediated SVs (rep‐SV) exhibit distinct dynamic patterns throughout cattle sub‐speciation and/or domestication processes, including uneven distribution between chr‐X and
Zhifan Guo, Jinxiu Li, Adeniyi C. Adeola, Xueyan Jiang, Juntao Ma, Jian Xiao, Dexiang Hu, Kaixing Qu, Haihong Wu, Junren Chen, Zhanxing He, Tingting Yin, Ali Esmailizadeh, Jing Luo, Olivier Hanotte, Ya‐Ping Zhang, Yan Li   +16 more
wiley   +1 more source

Optimized fault-tolerant data processing module for high-reliability CNN accelerator. [PDF]

PLoS One
Yoon SK, Lee SH, Jo J, Lee YW.
europepmc   +1 more source