Results 131 to 140 of about 58,822 (196)

S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning

Advanced Science, Volume 13, Issue 17, 23 March 2026.
Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu, Penglei Wang, Gaoyuan Xu, Jitao Lu, Qinke Peng, Danyang Wu, Hequan Sun   +6 more
wiley   +1 more source

SAGE: Spatially Aware Gene Selection and Dual‐View Embedding Fusion for Domain Identification in Spatial Transcriptomics

Advanced Science, Volume 13, Issue 16, 18 March 2026.
SAGE is a unified framework for spatial domain identification in spatial transcriptomics that jointly models tissue architecture and gene programs. Topic‐driven gene selection (NMF plus classifier‐based scoring) highlights spatially informative genes, while dual‐view graph embedding fuses local expression and non‐local functional relations.
Yi He, Yunpei Xu, Liqing Ding, Hong‐Dong Li, Yaohang Li, Shaokai Wang   +5 more
wiley   +1 more source

Advances in Generative Models for Accelerated Discovery of New Materials

cScience, Volume 2, Issue 1, March 2026.
ABSTRACT The discovery of new materials can drive tremendous social and technological progress. However, the vastness of the material space makes comprehensive exploration computationally infeasible. This paper reviews the inverse design methods of generative models in materials science, aiming to discover customized materials based on specific ...
Yuan Jiang, Jinshan Li, Zhuoyue Yang, Ningxin Hou, Jun Wang, Bin Tang, Ruihao Yuan   +6 more
wiley   +1 more source

Patterns and Drivers of Spanish Corporate Commitment to the UN Global Compact: A Quantitative Approach

Corporate Social Responsibility and Environmental Management, Volume 33, Issue 2, Page 1611-1632, March 2026.
ABSTRACT This paper presents a quantitative assessment of Spanish companies' commitment to the United Nations Global Compact (UNGC) and the Sustainable Development Goals (SDGs). Analyzing over 1000 participating firms, we identify prioritization patterns and examine structural factors influencing SDG adherence.
Juan Laborda, Juan Pérez
wiley   +1 more source

Individual brain metabolic connectome indicator based on Kullback-Leibler Divergence Similarity Estimation predicts progression from mild cognitive impairment to Alzheimer's dementia. [PDF]

Eur J Nucl Med Mol Imaging, 2020
Wang M, Jiang J, Yan Z, Alberts I, Ge J, Zhang H, Zuo C, Yu J, Rominger A, Shi K, Alzheimer’s Disease Neuroimaging Initiative.   +10 more
europepmc   +1 more source

Toward Trustworthy Neuromorphic AI: A Bayesian Framework for Uncertainty‐Aware Spiking Neural Networks

Engineering Reports, Volume 8, Issue 3, March 2026.
This work presents a Bayesian Spiking Neural Network framework that combines variational inference with surrogate gradient learning, enabling accurate classification and well‐calibrated uncertainty estimation. The approach advances trustworthy, energy‐efficient neuromorphic AI for safety‐critical and edge intelligence applications.
Solomon Mamo Banteywalu, Paul Leroux
wiley   +1 more source

Tourism Resource Management and Optimization Based on Internet of Things Edge Computing

Engineering Reports, Volume 8, Issue 3, March 2026.
Tourism is a major driver of economic growth, contributing to local economies while promoting cultural exchange and environmental awareness. Tourism resource management plays a crucial role in optimizing the efficiency and sustainability of tourism destinations.
Yuli Kan
wiley   +1 more source

Comparison of Deterministic and Probabilistic Machine Learning Algorithms for Precise Dimensional Control and Uncertainty Quantification in Additive Manufacturing

Engineering Reports, Volume 8, Issue 3, March 2026.
Implementation of deterministic and probabilistic regression algorithms on an additive manufacturing dataset for prediction of dimensional accuracy—difference from target (DFT), which is the dimensional deviation of a manufactured part from a reference computer‐aided design geometry.
Dipayan Sanpui, Anirban Chandra, Henry Chan, Sukriti Manna, Subramanian K. R. S. Sankaranarayanan   +4 more
wiley   +1 more source

Bayesian Inference for Spatially‐Temporally Misaligned Data Using Predictive Stacking

Environmetrics, Volume 37, Issue 2, March 2026.
ABSTRACT Air pollution remains a major environmental risk factor that is often associated with adverse health outcomes. However, quantifying and evaluating its effects on human health is challenging due to the complex nature of exposure data. Recent technological advances have led to the collection of various indicators of air pollution at increasingly
Soumyakanti Pan, Sudipto Banerjee
wiley   +1 more source

Coherent Disaggregation and Uncertainty Quantification for Spatially Misaligned Data

Environmetrics, Volume 37, Issue 2, March 2026.
ABSTRACT Spatial misalignment arises when datasets are aggregated or collected at different spatial scales, leading to information loss. We develop a Bayesian disaggregation framework that links misaligned data to a continuous‐domain model through an iteratively linearised integration scheme implemented with the Integrated Nested Laplace Approximation (
Man Ho Suen, Mark Naylor, Finn Lindgren
wiley   +1 more source