Results 71 to 80 of about 571,455 (206)

Extraction of Inherent Amplitude Mode from a Light Beam

Advanced Photonics Research, EarlyView.
Mode extraction is the inverse process of the double‐beam superposition principle in classical optics. While polarization mode extraction has been successfully demonstrated using an m‐order vector vortex beam, this article demonstrates the amplitude mode extraction of a light beam.
Zhiyang Xia, Xiaoyu Weng, Liwei Liu, Jun He, Changrui Liao, Yiping Wang, Junle Qu   +6 more
wiley   +1 more source

Tilings in topological spaces

International Journal of Mathematics and Mathematical Sciences, 1999
A tiling of a topological space X is a covering of X by sets (called tiles) which are the closures of their pairwise-disjoint interiors. Tilings of ℝ2 have received considerable attention (see [2] for a wealth of interesting examples and results as well ...
F. G. Arenas
doaj   +1 more source

Volume and topological invariants of quantum many-body systems

Physical Review Research, 2020
Quantum many-body systems described by Lagrangian path integrals can realize many different topological phases of matter. One of the most important problems in condensed-matter physics is to extract topological invariants from the Lagrangian and to ...
Xiao-Gang Wen, Zhenghan Wang
doaj   +1 more source

Metabolic‐Immune Suppression Mediated by the SIRT1‐CX3CL1 Axis Induces Functional Enhancement of Regulatory T Cells in Colorectal Carcinoma

Advanced Science, EarlyView.
This study discovers that SIRT1, a hub gene involved in glucolipid metabolic conversion in colorectal carcinoma (CRC), stimulates CX3CL1 secretion in CRC cells by activating FOXO1. The CX3CL1‐CX3CR1 signaling promotes the differentiation of TCF7+ regulatory T cells (Tregs) into an enhanced immunosuppressive TNFRSF9+ Treg phenotype.
Ruiyang Zi, Xiang Zhao, Limei Liu, Yijie Wang, Rui Zhang, Zhiheng Bian, Haoran Jiang, Taorui Liu, Yixin Sun, Han Peng, Xuesong Wang, Fanghao Lu, Chao Zhang, Fan Zhang, Qing Qin, Houjie Liang, Jianjun Li, Zhihao Wei, Yan Dong   +18 more
wiley   +1 more source

Deciphering the Transcription Factor Landscape in Prostate Cancer Progression: A Novel Approach to Understand NE Transdifferentiation

Advanced Science, EarlyView.
The study deciphers the landscapes of lineage‐related transcription factors in prostatic adenocarcinoma and neuroendocrine prostate cancer using an innovative approach. These findings, validated across cohorts, highlight TFs' roles in cell development and offer novel therapeutic targets.
Yu Wang, Hui Xue, Xiaohui Zhu, Dong Lin, Zheng Chen, Xin Dong, Junru Chen, Mingchen Shi, Yuchao Ni, Jonathan Cao, Rebecca Wu, Connie Kang, Xinyao Pang, Francesco Crea, Yen‐Yi Lin, Colin C. Collins, Martin E. Gleave, Abhijit Parolia, Arul Chinnaiyan, Christopher J. Ong, Yuzhuo Wang   +20 more
wiley   +1 more source

Motion planning algorithms, topological properties and affine approximation

Bulletin of Computational Applied Mathematics, 2015
The topological study of the so-called "motion planning algorithms" emerged in the 2003-2004 with the works of M. Farber. We focus here on the topological study of the set of these algorithms, when the configuration space is a normed vector space.
Younes Derfoufi, My Ismail Mamouni
doaj  

The Reconstruction of Peripheral Auditory Circuit: Recent Advances and Future Challenges

Advanced Science, EarlyView.
This paper summarizes the potential of biomaterials, stem cells, and gene editing technologies in the regeneration of inner ear hair cells, spiral ganglion neurons, and inner ear organoids. Challenges and potential developments are discussed and explored.
Zhe Li, Ying Zhang, Zhenyu Xiao, Jieyu Qi   +3 more
wiley   +1 more source

scHeteroNet: A Heterophily‐Aware Graph Neural Network for Accurate Cell Type Annotation and Novel Cell Detection

Advanced Science, EarlyView.
scHeteroNet) is a novel graph neural network model that explicitly addresses heterophily in single‐cell sequencing data enabling accurate cell type annotation and novel cell type discovery. By leveraging heterophily‐aware message passing and novelty propagation mechanisms, scHeteroNet achieves superior performance in both cell annotation and detection ...
Jiacheng Liu, Xingyu Fan, Chunbin Gu, Yaodong Yang, Bian Wu, Guangyong Chen, Chang‐Yu Hsieh, Pheng‐Ann Heng   +7 more
wiley   +1 more source

A Multi‐Task Self‐Supervised Strategy for Predicting Molecular Properties and FGFR1 Inhibitors

Advanced Science, EarlyView.
The overview of MTSSMol during pretraining. Initially, data augmentation techniques are applied to the raw input data to create various enhanced versions. These images are then fed into GNNs to extract latent features. Finally, the augmented data is utilized for two learning tasks. b.
Xin Yang, Yang Wang, Ye Lin, Mingxuan Zhang, Ou Liu, Jianwei Shuai, Qi Zhao   +6 more
wiley   +1 more source

Machine Learning‐Enabled Drug‐Induced Toxicity Prediction

Advanced Science, EarlyView.
Unexpected toxicity accounts for 30% of drug development failures. This review highlights ML innovations in predicting drug‐induced toxicity, emphasizing comparative analyses, interpretable algorithms, and multi‐source data integration. It categorizes toxicity types, summarizes ML models, and organizes key databases, offering strategies to address ...
Changsen Bai, Lianlian Wu, Ruijiang Li, Yang Cao, Song He, Xiaochen Bo   +5 more
wiley   +1 more source