Results 91 to 100 of about 51,940 (240)

Physics‐Informed Machine Learning for Sustainable Alloy Design: Toward a Recyclable Unified Q&P Steel

Advanced Science, EarlyView.
A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei, Yong Li, Chenchong Wang, Lingyu Wang, Xiang Song, Keming Mao, Yu Zhang, Wei Xu   +7 more
wiley   +1 more source

Combining Spatial Multi‐Omics Data to Decipher Spatial Domains and Elucidate Cell Heterogeneity Based on Self‐Supervised Graph Learning

Advanced Science, EarlyView.
A self‐supervised multi‐view graph fusion framework integrates spatial multi‐omics, excelling in domain identification and denoising. It reconstructs spatial pseudo‐expression, jointly analyzes multi‐omics data, infers RNA velocity, predicts spatial omics features from single‐cell multi‐omics, and detects spatially dark genes and transcription factors,
Yuejing Lu, Rui Qiao, Ying Li, Junhong Li, Nuoya Yue, Jing Ge, Jiao Wang, Luonan Chen, Peiluan Li   +8 more
wiley   +1 more source

Decoding Spatial Heterogeneity and Multi‐Omics Regulation with Hierarchical Graph Learning

Advanced Science, EarlyView.
ABSTRACT Recent advances in spatial multi‐omics technologies have enabled the simultaneous profiling of multiple molecular layers within the same tissue slice, providing unprecedented opportunities to investigate tissue spatial organization. However, most existing computational methods identify spatial domains in a purely data‐driven manner, rarely ...
Jiazhou Chen, Jiahui Xie, Yi Liao, Junyu Li, Longqi Liu, Xin Gao, Hongmin Cai   +6 more
wiley   +1 more source

Bringing circuit theory into spatial occupancy models to assess landscape connectivity

Methods in Ecology and Evolution
Occupancy models were originally developed to better understand species distribution while accounting for imperfect detection. Because species distribution is not only shaped by habitat quality but also by the ability of individuals to reach suitable ...
Maëlis Kervellec, Thibaut Couturier, Sarah Bauduin, Delphine Chenesseau, Pierre Defos du Rau, Nolwenn Drouet‐Hoguet, Christophe Duchamp, Julien Steinmetz, Jean‐Michel Vandel, Olivier Gimenez   +9 more
doaj   +1 more source

Euclidean distance degrees of real algebraic groups

, 2014
We study the problem of finding, in a real algebraic matrix group, the matrix closest to a given data matrix. We do so from the algebro-geometric perspective of Euclidean distance degrees. We recover several classical results; and among the new results that we prove is a formula for the Euclidean distance degree of special linear groups.
Baaijens, J.A., Draisma, J.
openaire   +1 more source

A Data‐Driven Inverse Design Methodology for Magnetic Soft Millirobots Navigating in Confined Spaces

Advanced Science, EarlyView.
A data‐efficient inverse design framework automates the optimization of magnetic soft millirobots for confined‐space navigation. Integrating a physics‐based Cosserat rod model with Bayesian optimization efficiently identifies high‐performance geometries.
Ziyu Ren, Hong Wang, Chak Wang Tse, Yi Zheng, Xi Chen, Wenqi Hu   +5 more
wiley   +1 more source

Targeting PLD3 Reverses the Immunosuppressive Niche by Reprogramming Tumor‐Associated Macrophages and Potentiates Antitumor Immunity

Advanced Science, EarlyView.
PLD3 activates the lysosomal‐AKT‐NF‐κB axis to drive cellular senescence in macrophages, establishing an immunosuppressive TME by limiting the infiltration of cytotoxic T, NK, and NKT cells, which confers resistance to anti‐PD‐1 therapy. Abrine inhibits PLD3 expression, restoring antitumor immunity and synergizing with anti‐PD‐1 treatment.
Xingtu Qin, Qiong Li, Xuemei Xu, Yuhan Wu, Yin Zhu, Jieqiong Wu, Yuan Fang, Qiubei Chen, Shuyang Wang, Jiang Yu, Yaping Ye, Hongli Jiao   +11 more
wiley   +1 more source

Topology‐Aware Deep Learning on Higher‐Order Structures for Drug Response Prediction

Advanced Science, EarlyView.
We present TopDr, a topology‐aware deep learning framework that encodes both drugs and cell lines as multiscale simplicial complexes, capturing interactions at the 0‐, 1‐, and 2‐simplex levels. By jointly integrating local higher‐order neighborhoods and global topological structures, TopDr generates enriched representations for sensitivity prediction ...
Cong Shen, Guancen Lin, Chuan‐Shen Hu, Yong Wang   +3 more
wiley   +1 more source

Preliminary data on phytoplankton diurnal development in the Danube Delta [PDF]

Scientific Annals of the Danube Delta Institute, 2009
The present paper includes the results of a preliminary ecological study of how phytoplankton diurnal development is related to water-column variables. The recorded data set was analyzed by a multivariate procedure using PRIMER6 statistical program with ...
TÖRÖK Liliana, ANUŢI Irina
doaj  

On the Stable Euclidean Distance Degree of Algebraic Layers

We study the projective geometry of algebraic neural layers, namely families of maps induced by a polynomial activation function, with particular emphasis on the generic Euclidean Distance degree ($\mathrm{gED}$). This invariant is projective in nature and measures the number of optimal approximations of a general point in the ambient space with ...
openaire   +2 more sources