Results 141 to 150 of about 34,807 (256)

Extending Field Limits in Nanoscale Magnetic Imaging With Metamaterial‐Inspired Magnetic Flux Concentrators

Small, Volume 22, Issue 43, 3 August 2026.
Micrometer‐sized flower‐shaped metamaterial magnetic flux concentrators are fabricated directly around nano and micromagnetic samples, enabling local field enhancement. Integrated into magnetic sensitive photoemission electron microscopy, they extend the available magnetic field range by up to a factor of five.
Aleix Barrera, Emile Fourneau, Thomas Pirottin, Lourdes Marcano, Radu Abrudan, Rong Huang, Lluis Balcells, Iñaki Orue, Maria‐Luisa Fdez‐Gubieda, Danny Villanueva, Alicia G. Gubieda, Liao Chang, Benoît Vanderheyden, Richard J. Harrison, Alejandro Silhanek, Anna Palau, Sergio Valencia   +16 more
wiley   +1 more source

Strong call to safeguard traditional agriculture as habitat for threatened crane species

Conservation Science and Practice, 2023
Karoline Hemminger, Hyeyeon‐Sarah Jin, Spike Millington, Kisup Lee, Jongsoo Choi, Claudia Sattler   +5 more
doaj   +1 more source

Seismic Insights Into the Role of Rockfall in Rockslide Destruction Processes

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract The dynamic link between rockslide failure and rockfall activity remains elusive, primarily due to the challenge of detecting weak signals amidst high noise. We propose a seismic attribute guided deep learning framework that formulates rockfall detection as a time‐series segmentation task, facilitating the precise extraction of rockfall events
Yaojun Wang, Yuxi Chen, Tuo Zhang, Hai Huang, Qi Zhou   +4 more
wiley   +1 more source

A Genomic Catalog of Migratory Microbiomes from Wild Birds across China's Habitats. [PDF]

Adv Sci (Weinh)
Wang Y, Wu H, Qu M, Zhang C, Xu Z, Pei Y, Zhao C, Wang J, Ma S, Lyu N, Xu X, Bi Y, Zhu B, Gao GF.   +13 more
europepmc   +1 more source

Taming the Heterogeneous Dynamics of Oceanic Chlorophyll‐a Concentration With a Novel Deep Learning Model to Improve Prediction

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Chlorophyll‐a (Chl_a) concentration in the ocean is a critical indicator of primary production and plays a pivotal role in the global carbon cycle. Its accurate predictions are essential for reliable projections of future climate change. However, Chl_a is controlled by myriads of interactive physical and biogeochemical processes, posing a ...
Fa Zhang, Hiusuet Kung, Fan Zhang, Zhiwei Wang, Can Yang, Jianping Gan   +5 more
wiley   +1 more source

Water Level Regulation Regime Shifts Drive Divergent Foraging Habitat Use by Wintering Hooded Cranes (<i>Grus monacha</i>) in Shallow Gate-controlled Lakes of the Yangtze Floodplain. [PDF]

Ecol Evol
Fang Y, Zhong Y, Zhou L, Liang M.
europepmc   +1 more source

Disentangling Spatial‐Temporal Features for Controllable Factors Learning in Precipitation Nowcasting

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Precipitation nowcasting refers to the high‐resolution forecasting of rainfall and hydrometeors within 0–6 hr according to the official definition of the World Meteorological Organization, which has relied on numerical models for decades. Recently, artificial intelligence (AI) has shown promise in addressing precipitation nowcasting.
Nan Yang, Chong Wang, Ruikai Yang, Xiaofeng Li   +3 more
wiley   +1 more source

Comparison of avian biodiversity and community similarity between Nansihu wetland and the Yellow River Delta wetland across different seasons. [PDF]

BMC Zool
Yang Y, Zheng X, Lv L, Sun F, He W, Li Y.   +5 more
europepmc   +1 more source

Attention and Geological Knowledge Guided Spectral‐Spatial Networks for Geochemical Anomalies Recognition

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Achieving both accuracy and interpretability in deep learning models for geochemical anomaly recognition constitutes a significant challenge. To overcome this challenge, this study developed a novel interpretable dual‐branch network combining a spectral attention bidirectional RNN (BiRNN) branch and a spatial attention CNN branch guided with ...
Yihui Xiong, Zhixiang Liang, Zhiyi Chen, Yao Fan, Renguang Zuo   +4 more
wiley   +1 more source

Reconstructing Long‐Term Reservoir Storage in India Using Hydrological Modeling and Machine Learning

Water Resources Research, Volume 62, Issue 8, August 2026.
Abstract India has one of the largest networks of large dams in the world, where reservoirs play a crucial role in regulating monsoon‐driven water availability for irrigation, hydropower, flood control, and water supply. However, long‐term daily reservoir storage observations are available only from the year 2000 onwards.
Urmin Vegad, Vimal Mishra
wiley   +1 more source