Results 171 to 180 of about 221,602 (295)

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

A noval RUL prediction method for rolling bearing: TcLstmNet-CBAM. [PDF]

Sci Rep
Liu Q, Dai Z, Lai H, Chen M, Huang H, Fu J, Hou M, Xu X, Wang G, Yan J.   +9 more
europepmc   +1 more source

Graphene‐Skinned Alumina Fiber: Continuously Scalable Fabrication and Its Electrothermal Application in Fiber‐Reinforced Polymer Composites

Advanced Science, EarlyView.
Graphene‐skinned alumina fiber (GAF) is a new composite with graphene conformally grown on individual alumina fibers via chemical vapor deposition (CVD). GAF's dynamic, continuous and scalable production is achieved by using a home‐made roll‐to‐roll (RTR) CVD system featuring integrated degumming and growth chambers. GAF possesses tunable conductivity,
Xiaobai Wang, Wenjing Jiang, Jingnan Wang, Yuejie Zhao, Enshan Liu, Fushun Liang, Yixin Zhang, Qingqing Liu, Kangyi Zheng, Yuyao Yang, Fan Yang, Xiao Jiang, Yue Qi, Zhongfan Liu   +13 more
wiley   +1 more source

Attention Mechanism-Based Feature Fusion and Degradation State Classification for Rolling Bearing Performance Assessment. [PDF]

Sensors (Basel)
Zhan T, Chen W, Xu C, Li L, Ding X.
europepmc   +1 more source

Cells Dynamically Adapt Their Nuclear Volumes and Proliferation Rates During Single to Multicellular Transitions

Advanced Science, EarlyView.
It is currently not well understood how cells regulate basic properties, e.g., volume and mechanics within dense multicellular environments like tumors. Here, we show that different cell types of cancer and also normal cells largely decrease their nuclear and cellular volumes in emerging cell clusters and that this is partly driven by cell cycle shifts.
Vaibhav Mahajan, Keshav Gajendra Babu, Markus Mukenhirn, Antje Garside, Vinita Ajit Kini, Trishla Adhikari, Timon Beck, Byung Ho Lee, Kyoohyun Kim, Carsten Werner, Raimund Schlüßler, Alf Honigmann, Sebastian Aland, Anna Verena Taubenberger   +13 more
wiley   +1 more source

Research on Open-Set Recognition Methods for Rolling Bearing Fault Diagnosis. [PDF]

Sensors (Basel)
Xu J, Wang Y, Xu R, Wang H, Zhou X.
europepmc   +1 more source

MGDP: Mastering a Generalized Depth Perception Model for Quadruped Locomotion

Advanced Science, EarlyView.
ABSTRACT Perception‐based Deep Reinforcement Learning (DRL) controllers demonstrate impressive performance on challenging terrains. However, existing controllers still face core limitations, struggling to achieve both terrain generality and platform transferability, and are constrained by high computational overhead and sensitivity to sensor noise.
Yinzhao Dong, Ji Ma, Yidan Lu, Jiahui Zhang, Wanyue Li, Yeke Chen, Teng Zhang, Xuechao Chen, Zhangguo Yu, Peng Lu   +9 more
wiley   +1 more source

VFQB: A Novel Deep Learning Model for Rolling Bearing Fault Diagnosis. [PDF]

Sensors (Basel)
Xiao Z, Xu Y, Cui J.
europepmc   +1 more source

Harnessing Phase Separation for the Development of High‐Performance Hydrogels

Advanced Science, EarlyView.
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao, Yiming Ma, Baihao Shao, Molly M. Stevens   +3 more
wiley   +1 more source

A rolling bearing fault diagnosis method based on an improved parallel one-dimensional convolutional neural network. [PDF]

PLoS One
Bai H, Tong W, Geng Z, Gao C.
europepmc   +1 more source