Results 141 to 150 of about 13,254 (260)

BioLAMR: A Biomimetically Inspired Large Language Model Adaptation Framework for Automatic Modulation Recognition. [PDF]

Biomimetics (Basel)
Mao Y, Xu W, Sang J, Liu H.
europepmc   +1 more source

Diffusion‐Based Generative Model With Scaffold‐Hopping Strategy Yields Highly Potent Bioactive Molecules

Advanced Science, EarlyView.
SMarT‐Diff introduces a multi‐objective generative paradigm that integrates scaffold hopping with structure‐aware scoring to enable controlled exploration beyond the training distribution. The framework consistently balances drug‐likeness, synthesizes accessibility and bioactivity, yielding chemically diverse candidates with enhanced properties.
Yuwei Yang, Xiaoqing Gong, Shukai Gu, Jing Li, Bo Liu, Yanan Tian, Qianqian Zhang, Xiaojun Yao, Huanxiang Liu   +8 more
wiley   +1 more source

Mixing‐Driven Defects and Composition Evolution in Multi‐Material Metal Additive Manufacturing

Advanced Science, EarlyView.
Operando synchrotron X‐ray imaging coupled with high‐fidelity multiphysics modeling uncovers how inter‐material mixing reshapes keyhole dynamics and drives distinct pore‐formation pathways in multi‐material laser powder bed fusion (LPBF). Composition‐dependent instabilities trigger defects, whereas rescanning suppresses porosity and homogenizes Cu ...
Zhilang Zhang, Steve Gaudez, Mario Togni, Steven Van Petegem, Markus Bambach, Mamzi Afrasiabi   +5 more
wiley   +1 more source

Improved finite control set model predictive current control design for variable-speed wind-energy conversion system connected to the grid via an LCL filter. [PDF]

Sci Rep
Hamid HBA, Hassan JNA, Ali GH, Ma T, Ko C, Khan H, Mohammed OAA, Shahid A.   +7 more
europepmc   +1 more source

Unidirectional Evaporation‐Induced Tunable and Continuous Gradient Composite Structure for Absorption‐Dominant Electromagnetic Interference Shielding

Advanced Science, EarlyView.
A continuous conductivity gradient is formed in a porous MXene/melamine foam via directional evaporation, thereby improving impedance matching and enhancing electromagnetic attenuation. The resulting monolithic composite delivers absorption‐dominant EMI shielding with ultralow reflection, offering a simple route toward lightweight EMI shielding ...
Dawei Zhang, Yan Zhang, Baosong Li, Abdallah Kamal, Haider Butt, Kin Liao, Lianxi Zheng   +6 more
wiley   +1 more source

A Transformer-LSTM Hybrid Detector for OFDM-IM Signal Detection. [PDF]

Entropy (Basel)
Wang L, Tong Z, Wang K, Xie J, Peng X, Li B, Li J, Zeng X, Zhan J, Chen R.   +9 more
europepmc   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source

ABHD17C‐Mediated S‐Depalmitoylation of BCL6B Enhances CD24 Transcription to Resist Macrophage Phagocytosis in Pancreatic Cancer

Advanced Science, EarlyView.
ABHD17C‐mediated depalmitoylation of BCL6B at Cys442 blocks its nuclear import and triggers ubiquitin‐dependent degradation, attenuating transcriptional repression of the anti‐phagocytic signal CD24. This mechanism enables pancreatic cancer cells to evade macrophage phagocytosis and fosters an immunosuppressive microenvironment.
Yalu Zhang, Di Cui, Fanzheng Meng, Xu Zhu, Liang Zhu, Liang Wu, Haifeng Hu, Jizhou Wang, Hanhui Yao, Lianxin Liu   +9 more
wiley   +1 more source

Optimized weight spectrum method for interference signal separation in FSO communication. [PDF]

Sci Rep
Duan Z, Qiang S, Zhao H, Wang Y.
europepmc   +1 more source

How Advanced Artificial Intelligence Technologies Shape Drug–Drug and Drug–Target Interaction Modeling

Advanced Science, EarlyView.
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley   +1 more source