Results 191 to 200 of about 67,341 (246)

GatorST: A Versatile Contrastive Meta‐Learning Framework for Spatial Transcriptomic Data Analysis

Small Methods, EarlyView.
GatorST learns spatially informed embeddings for spatial transcriptomics by coupling two‐hop subgraph graph convolutions with cluster‐aware pseudo‐label supervision and episodic contrastive meta‐learning. The framework captures neighbor‐level topology and tissue‐wide expression semantics without heavy augmentations, delivering robust representations ...
Zhenhao Zhang, Yuxi Liu, Song Wang, Qin Ma, Qianqian Song, Jiang Bian   +5 more
wiley   +1 more source

A robust E learning recommendation system based on novel interval valued bipolar fuzzy hypersoft set theory. [PDF]

Sci Rep
Harl MI, Saeed M, Saeed MH, Habib MS, Ullah M.   +4 more
europepmc   +1 more source

Identification of genetically predicted protein biomarkers and drug targets for prostate cancer via Mendelian randomization

VIEW, EarlyView.
Prostate cancer, a leading cause of cancer in men globally, urgently requires improved diagnostic and treatment strategies. This study analyzed large genetic datasets and identified five key proteins (THBD, DST, IFI27L2, OSBPL10, PPP1R14A) that either increase or decrease cancer risk, while also exploring their roles in immune response and potential ...
Maoping Cai, Tianming Peng, Zhiyue Xie, Chuqian Zhen, Chen Yao, Nan Peng, Qianyi Li, Yuzhong Yu, Jiming Bao, Xian‐Lu Song, Mingkun Chen, Shan‐Chao Zhao   +11 more
wiley   +1 more source

Path planning for UAVs in complex terrain based on the PGD model: Algorithmic improvements combining feature extraction and reinforcement learning. [PDF]

PLoS One
Liu L, Li X, Meng L, Zhao Y, Lv Y.
europepmc   +1 more source

Quantitative micro‐XRF combined with X‐ray imaging reveals correlations between Zn concentration and dentin tubule porosity across entire teeth

VIEW, EarlyView.
The combination of calibrated micro‐CT and quantitative micro‐XRF measurement facilitates the correlation of density and composition in the 3D macro‐structure of teeth. Zn concentration in dentin increases by a factor of 10 toward the pulp. Incidentally, the overall density decreases, showing an association between Zn and the dentin tissue porosity ...
Ioanna Mantouvalou, Leona Johanna Bauer, Vinh‐Binh Truong, Yannick Wagener, Frank Förste, Oleksandra Marushchenko, Stephan Werner, Franco Lizzi, Frank Wieder, Timo Wolff, Birgit Kanngießer, Paul Zaslansky   +11 more
wiley   +1 more source

Intelligent decision-making for mine ventilation systems based on graph neural network and deep reinforcement learning fusion. [PDF]

Sci Rep
Zhang K, Yang X, Li H.
europepmc   +1 more source

Harnessing energy metabolism for enhanced bone defect repair: Mechanisms and therapeutic strategies

VIEW, EarlyView.
This review addresses the critical challenge of bone defect repair by focusing on the underexplored role of cellular energy metabolism. It synthesizes regulatory mechanisms in bone‐forming cells and sums up innovative strategies—leveraging cell derivatives, active factors, and biomimetic scaffolds—to modulate metabolism for enhanced regeneration.
Junting Li, Yulan Liu, Yuran Li, Yingjie Hua, Xinquan Jiang, Mingliang Zhou   +5 more
wiley   +1 more source

On the geometry of topological defects in glasses. [PDF]

Nat Commun
Wu ZW, Barrat JL, Kob W.
europepmc   +1 more source

Short‐Term Multi‐Horizon Line Loss Rate Forecasting of a Distribution Network Using Attention‐GCN‐LSTM

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurately predicting line loss rates is crucial for effective management in distribution networks, particularly for short‐term multihorizon forecasts ranging from 1 hour to 1 week. In this study, we propose attention‐GCN–LSTM, a novel method that integrates graph convolutional networks (GCN), long short‐term memory (LSTM) and a three‐level ...
Jie Liu, Yijia Cao, Yong Li, Yixiu Guo, Wei Deng   +4 more
wiley   +1 more source

A Balancing Act in Corneal Epithelial Repair: A MAPK-JUN/EGR1/TFAP2A Network Regulates Ferroptotic Cell Fate. [PDF]

Int J Gen Med
Jiang H, Chen Z, Luan W, Li J, Yin N.
europepmc   +1 more source