Results 141 to 150 of about 2,297 (264)

Denoising Diffusion Model With Pixel‐Adaptive Convolutions for Sheet Metal Forming Analysis

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT Traditional tool development processes in mechanical forming, especially for pressing tools, are often limited by time‐consuming trial‐and‐error cycles, which rely heavily on expert knowledge. These cycles can create bottlenecks and increase costs.
Syed Sarim Ali, Henning Karsten Hupfeld, Klaus Dröder, André Hürkamp   +3 more
wiley   +1 more source

Wilting wildflowers and bummed‐out bees: Climate change threatens US state symbols

People and Nature, Volume 8, Issue 6, Page 1832-1851, June 2026.
Abstract Species designated as state symbols in the United States carry cultural importance, embody historical heritage and maintain long‐standing linkages to Indigenous traditions. However, they are threatened by climate change and even face the risk of local or global extinction.
Xuezhen Ge, Ya Zou, Heather A. Hager, Jonathan A. Newman   +3 more
wiley   +1 more source

Distributed Optimization of Finite Condition Number for Laplacian Matrix in Multi‐Agent Systems

International Journal of Robust and Nonlinear Control, Volume 36, Issue 9, Page 5030-5043, June 2026.
ABSTRACT This paper addresses the distributed optimization of the finite condition number of the Laplacian matrix in multi‐agent systems. The finite condition number, defined as the ratio of the largest to the second smallest eigenvalue of the Laplacian matrix, plays an important role in determining the convergence rate and performance of consensus ...
Yicheng Xu, Faryar Jabbari
wiley   +1 more source

Nernst‐Effect‐Modulated Bilinear Magnetoelectric Resistance in Chiral Tellurium Nanosheets

SmartMat, Volume 7, Issue 3, June 2026.
This study systematically explores the bilinear magnetoelectric resistance (BMR) in electron‐doped Te nanosheets. Controlled experiments reveal that the observed out‐of‐plane BMR arises mainly from Joule‐heating‐induced Nernst effect. These findings highlight the crucial role of thermoelectric contributions in nonlinear carrier transport and offer ...
Ying‐Ying Lan, Qing Yin, Pu Wang, Xin Liao, Jing‐Wei Dong, Tong‐Yang Zhao, Qingqing Ke, An‐Qi Wang, Zhi‐Min Liao, Shenghuang Lin   +9 more
wiley   +1 more source

A role for environmental niche divergence in the rapid radiation of Nicotiana section Suaveolentes (Solanaceae)

TAXON, Volume 75, Issue 3, June 2026.
Abstract Nicotiana sect. Suaveolentes is a group that has undergone recent and rapid radiation, a clade that originated ca. six million years ago and has since rapidly speciated throughout Australia, with a few taxa on Pacific Islands and one in Namibia (Africa). Post‐tetraploidisation, species in N. sect.
Charlotte Phillips, Maïté Guignard, Luiz A. Cauz‐Santos, Maarten J.M. Christenhusz, Leylson Ferreira de Araújo, Felipe Nollet, Mark W. Chase, Steven Dodsworth   +7 more
wiley   +1 more source

Improving genomic prediction in wheat with random regression models with genotype‐specific phenology‐driven environmental covariates

The Plant Genome, Volume 19, Issue 2, June 2026.
Abstract Wheat (Triticum aestivum L.), a crucial cereal crop for global food security, faces growing challenges from climate change. Future production requires varieties that are resilient to environmental extremes and fluctuations. The goal of this study was to assess strategies to increase selection response through genomic selection in wheat by ...
Rishap Dhakal, Guillermo Sniadower, Paula Silva, Bettina Lado, Pablo Sandro, Inés Rebollo, Martin Quincke, Julie C. Dawson, Lucia Gutiérrez, Pablo González Barrios   +9 more
wiley   +1 more source

Observational Uncertainty in Deep Learning Climate Downscaling and Projections

Earth and Space Science, Volume 13, Issue 6, June 2026.
Abstract Deep learning (DL) models are increasingly used for climate downscaling, yet the impact of observational uncertainty on their performance remains poorly understood. Here we assess this effect by training ensembles of DL downscaling models using four independent gridded observational data sets over continental Spain that differ in source ...
Samuel Reyes‐Elgueta, Jose González‐Abad, Javier Diez‐Sierra, Sixto Herrera, José Manuel Gutiérrez   +4 more
wiley   +1 more source

Distribution‐Guided Ensemble Postprocessing for S2S Precipitation Forecasts: A Seamless Pathway Using Deep Generative Models

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Atmosphere‐ocean‐land coupled forecasting systems, despite their comprehensiveness, face substantial challenges in the “predictability desert” at subseasonal to seasonal (S2S) timescales, particularly for precipitation—a variable crucial for socioeconomic activities yet of stunning spatiotemporal variance. Post‐processing methods developed for
Wen Shi, Baoxiang Pan, Jianbin Huang, Tingfeng Dou, Jie Feng, Huihui Yuan, Anran Wang, Xin Xia, Lei Huang, Yong Luo   +9 more
wiley   +1 more source

Resilient and verifiable outsourced attribute-based non-interactive oblivious transfer protocol for tactical edge networks. [PDF]

Sci Rep
Liu W, Fu B, Wang L.
europepmc   +1 more source

Bilinear Pairing Based Encryption for Sensor Network

, 2019
In this letter, we review some research efforts in the area of Pairing based encryption for data transmission and storage taking note of the computational overhead and consequently present a simple encryption scheme to buttress our initiative ...
Emerole, Kelechi, Anyaehie, Maurice, Nwadike, Stanley   +2 more
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