Results 161 to 170 of about 247,012 (241)

Mechanoadaptation via Myosin Cytoplasmic Redistribution Protects Circulating Tumor Cells From Shear‐induced Death During Hematogenous Dissemination

Advanced Science, EarlyView.
This study investigates how CTCs survive varying shear stress during hematogenous metastasis. We uncover a self‐protection mechanism, by which non‐adherent CTCs adapt to high shearing milieu through accumulated cytoplasmic myosin‐mediated disruption of myosin‐actin binding, attenuating force transmission into chromatin to protect CTCs from shear ...
Cunyu Zhang, Qianchun Wang, Keming Li, Guanshuo Hu, Ying Xin, Kai Tang, Bing Hu, Pengyu Du, Renwei Mao, Baohua Ji, Youhua Tan   +10 more
wiley   +1 more source

Backward cloud transformation algorithm based on Kullback Leibler divergence. [PDF]

PLoS One
Xu X, Yu K, Fu J, Dong L, Guo H, He H, Zhang L.   +6 more
europepmc   +1 more source

Design of Optical Transducer for Recognition of Biomolecular Interactions between Bacterial Lipopolysaccharides and Amino Acids

Advanced Science, EarlyView.
A deep comprehension of biomolecular phenomena at interfaces is significant with their fundamental and practical importance. Our experimental and theoretical investigations reveal that specific amino acids (glutamic acid and aspartic acid) exhibit an orientational coupling with liquid crystals, which can recognize and optically report the interfacial ...
Yena Choi, Sangmin Lee, Jin‐Kang Choi, Hyunsoo Han, Yeongseon Choi, Jun‐Hyung Im, Hyein Kim, Sangmin Jeon, Minjae Lee, Chang Yun Son, Young‐Ki Kim   +10 more
wiley   +1 more source

Scalable embedding fusion with protein language models: insights from benchmarking text-integrated representations. [PDF]

Brief Bioinform
Ko YS, Parkinson J, Wang W.
europepmc   +1 more source

Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES

Advanced Science, EarlyView.
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu, Wanpeng Zou, Yuekai Li, Jiayi Wang, Mingxuan Cai, Hongmin Cai   +5 more
wiley   +1 more source

INB3P: A Multi‐Modal and Interpretable Co‐Attention Framework Integrating Property‐Aware Explanations and Memory‐Bank Contrastive Fusion for Blood–Brain Barrier Penetrating Peptide Discovery

Advanced Science, EarlyView.
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv, Qianyang Wu, Jian Liu, Binlu Yang, Yuanhao Li, Junlin Xu, Yajie Meng, Leyi Wei, Zilong Zhang, Quan Zou, Xiulai Li, Feifei Cui   +11 more
wiley   +1 more source

Closed-form feedback-free learning with forward projection. [PDF]

Nat Commun
O'Shea R, Rajendran B.
europepmc   +1 more source

Hierarchical Reconfigurable Metasurface Based on Scenario‐Guided Functional Modules and Programmable Core

Advanced Science, EarlyView.
This paper proposes a hierarchical reconfigurable metasurface architecture (HRMA) to achieve comprehensive electromagnetic parameter modulation and on‐demand polymorphic function switching. The reconfigurable metasurface is divided into a programmable core (PC) and scenario‐guided functional modules (FMs), exhibiting significant flexibility and ...
Lihao Zhu, Jiaqi Han, Zhe Zheng, Qiang Feng, Dexiao Xia, Xiangjin Ma, Yajie Mu, Guoliang Luo, Rui Li, Haixia Liu, Hao Xue, Long Li   +11 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Genetic Algorithm-Optimized CNN-BiLSTM Framework for Predicting the Remaining Useful Life of IGBT Modules. [PDF]

Sensors (Basel)
Hao Y, Wu J, Zhang Z, Wang Y, Wang T, Liang Y.   +5 more
europepmc   +1 more source