Results 121 to 130 of about 29,951 (232)

Weather Regime Diversity, Transitions, and Trends Using Hexagonal Self‐Organizing Maps

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 8, 28 April 2026.
Abstract Persistent atmospheric circulation patterns, or weather regimes, strongly modulate surface weather and extremes, yet their internal diversity, transitions, and trends remain less understood for North America. We apply a self‐organizing map (SOM) framework to represent North American weather regimes using daily 500‐hPa geopotential height ...
Luke Wichrowski, Jhayron S. Pérez‐Carrasquilla, Maria J. Molina   +2 more
wiley   +1 more source

Some Characteristics of Completeness Property in Fuzzy Soft b−Metric Space

Journal of Applied Science and Engineering
In this study, we developed a novel idea known as the fuzzy soft b-metric, and investigated some fundamental aspects of fuzzy soft b-metric. Moreover, various topological features of this new space, such as fuzzy soft open ball, and fuzzy soft Hausdorff ...
Salim Dawood Mohsen, Younes Hazem Thiyab
doaj   +1 more source

Viscoelasticity‐Induced Controllable Periodic Meso‐Textures of Liquid Crystal Polymers in Additive Manufacturing

Advanced Functional Materials, Volume 36, Issue 32, 20 April 2026.
Viscoelasticity‐driven instabilities are harnessed to create tunable, periodic textures in 3D‐printed liquid crystalline polymers. This study illustrates how processing parameters control these spontaneous meso‐scale patterns. These unique structural architectures unlock new possibilities for functional devices, ranging from photonic components to ...
Miaomiao Zou, Jiongyi Yan, Dick F. Firdaus, Amy Jin, Jiaxuan Li, Shushan Wang, Ran Chen, Xudong Tao, Zehao Ji, Yi Liu, Zichen Wang, Christos Margadji, Mark Kotter, J. Axel Zeitler, George G. Malliaras, Ronan Daly, Andrew Gleadall, Sebastian W. Pattinson   +17 more
wiley   +1 more source

Electric‐Current‐Assisted Nucleation of Zero‐Field Hopfion Rings

Advanced Materials, Volume 38, Issue 21, 13 April 2026.
This work reports a novel and efficient nucleation protocol for 3D localized topological magnetic solitons‐hopfion rings in chiral magnets using pulsed electric currents. By using Lorentz transmission electron microscopy and topological analysis, we report characteristic features and extraordinary stability of hopfion rings in zero or inverted external
Xiaowen Chen, Dongsheng Song, Filipp N. Rybakov, Nikolai S. Kiselev, Long Li, Wen Shi, Rui Wu, Xuewen Fu, Olle Eriksson, Stefan Blügel, Rafal E. Dunin‐Borkowski, Haifeng Du, Fengshan Zheng   +12 more
wiley   +1 more source

vEMRec: High‐Resolution Volume Electron Microscopy Reconstruction Based on Structure‐Preserving and High‐Fidelity 3D Alignment

Advanced Science, Volume 13, Issue 23, 23 April 2026.
vEMRec is a frequency‐adaptive computational framework for three‐dimensional alignment in volume electron microscopy. It integrates feature‐based rigid alignment with Gaussian filter‐guided elastic registration to correct rigid misalignments and nonlinear distortions while preserving structural fidelity.
Zhenbang Zhang, Hongjia Li, Zhongjun Yang, Zhiqiang Xu, Duanchen Sun, Xin Gao, Fa Zhang, Renmin Han   +7 more
wiley   +1 more source

Advanced Corneal Hydrogels: From Passive Replacement to Active Regeneration and Intelligent Interaction

Advanced Science, Volume 13, Issue 19, 2 April 2026.
This review charts the evolution of corneal hydrogels from passive replacements to active and intelligent systems, evaluating natural and synthetic materials while addressing design challenges such as transparency and strength. Advanced applications such as scarless wound healing, three‐dimensional bioprinting, and smart wearables are highlighted to ...
Xinwei Wang, Wen Zhou, Haotian Xue, Wenjun Xue, Guangping Gao, Bing Zhu, Hongyuan Song, Qingqiang Xu, Jing Zhao, Wei Shen   +9 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, Volume 2, Issue 2, April 2026.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Deep Learning Methods for Assessing Time‐Variant Nonlinear Signatures in Clutter Echoes

Advanced Intelligent Systems, Volume 8, Issue 4, April 2026.
Motion classification from biosonar echoes in clutter presents a fundamental challenge: extracting structured information from stochastic interference. Deep learning successfully discriminates object speed and direction from bat‐inspired signals, achieving 97% accuracy with frequency‐modulated calls but only 48% with constant‐frequency tones. This work
Ibrahim Eshera, Gaurav Duggal, Rolf Müller   +2 more
wiley   +1 more source

A Longitudinal Study of Children's Hippocampal Development: Investigating Maternal Physical Activity, Depression, and Education

Developmental Neurobiology, Volume 86, Issue 2, April 2026.
ABSTRACT The developing hippocampus is particularly sensitive to early environmental influences, including during pregnancy. This longitudinal neuroimaging study examined associations between prenatal maternal physical activity and depression, maternal education, and hippocampal development from early childhood to early adolescence.
Arash Aghamohammadi‐Sereshki, Jess E. Reynolds, Merv Singh, Jamie Roeske, Rhonda C. Bell, Laura Forbes, Gerald F. Giesbrecht, Nicole Letourneau, Deborah Dewey, Catherine Lebel   +9 more
wiley   +1 more source

Adaptive Calculation Method of Line Loss of Distribution Network Based on Genetic Algorithm and Artificial Neural Network

Engineering Reports, Volume 8, Issue 4, April 2026.
A GA‐BP neural network model with optimized preprocessing and clustering reduces line loss calculation errors and improves efficiency in distribution networks. ABSTRACT Traditional methods for calculating distribution line losses often rely on complex mathematical models and extensive operational data, leading to cumbersome processes that struggle to ...
Tianjun Chen, Tao Deng, Junyang Wu, Ming Wen, Chengming Liu   +4 more
wiley   +1 more source