Vegetation canopy height shapes bats’ occupancy: a remote sensing approach by F. C. Martins, S. Godinho, N. Guiomar, D. Medinas, H. Rebelo, P. Segurado, J. T. Marques

“…All species’ best-ranking occupancy models included at least one climatic variable (temperature, humidity, or potential evapotranspiration), demonstrating the importance of climate when predicting bat distribution. …”
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Analysis of Beams with a Three-dimensional Random Field of the Modulus of Elasticity Using the Stochastic Finite Element Method by Nguyen Dang Diem, Pham Van Dat, Ta Duy Hien

“…This study proposes a stochastic finite element method (SFEM) for analyzing the static response of beams with material properties modeled as three-dimensional spatial random fields. …”
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Factors Contributing to Slab Locations and Geometries in Reconstructions of Past Mantle Flow by Joshua Weber, Nicolas Flament

“…We quantify the spatial match between predicted present‐day mantle temperature anomalies and vote maps of tomographic models. …”
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Novel non-invasive algorithm to identify the origins of re-entry and ectopic foci in the atria from 64-lead ECGs: A computational study. by Erick A Perez Alday, Michael A Colman, Philip Langley, Henggui Zhang

“…Catheter ablation therapy, commonly used in the treatment of AF, requires spatial information on atrial electrical excitation. …”
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Geographic patterns and environmental factors associated with human yellow fever presence in the Americas. by Patricia Najera Hamrick, Sylvain Aldighieri, Gustavo Machado, Deise Galan Leonel, Luz Maria Vilca, Sonia Uriona, Maria Cristina Schneider

“…Geo-environmental factors associated with presence of yellow fever could help predict and adjust the limits of other risk areas of epidemiological concern.…”
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Driving Factors in the Development of Eye Movement Patterns in Chinese Reading: The Roles of Linguistic Ability and Oculomotor Maturation by Meihua Guo, Nina Liu, Jingen Wu, Chengchieh Li, Guoli Yan

“…Path analysis explored how these factors predict temporal and spatial eye movement measures. …”
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Algebraic Non-Hermitian Skin Effect and Generalized Fermi Surface Formula in Arbitrary Dimensions by Kai Zhang, Chang Shu, Kai Sun

“…We demonstrate this framework in both tight-binding and continuum models in two and three dimensions. This investigation not only unveils a novel category of the non-Hermitian skin effect but also offers a comprehensive theoretical structure that describes skin effects in any non-Hermitian system, irrespective of its spatial dimensionality.…”
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Expanding the boundaries: regional connectivity in green turtle (Chelonia mydas) populations across Micronesia by Michael P. Jensen, Michael P. Jensen, Erin L. LaCasella, Donald R. Kobayashi, Amy Frey, Tammy M. Summers, Jessy R. Hapdei, George H. Balazs, Shawn K. K. Murakawa, T. Todd Jones, Summer L. Martin, Alexander R. Gaos, Peter H. Dutton

“…To address this gap, our study conducted genetic analyses of green turtles in foraging grounds from four Micronesian sites and predictive modelling of hatchling dispersal patterns based on ocean currents to explore connectivity between foraging grounds and rookeries across Micronesia. …”
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Urban buzz or urban bust? Beekeeping challenges, suitability, and survival insights in Montreal, Canada by Navid Mahdizadeh Gharakhanlou, Julien Vadnais, Liliana Perez, Nico Coallier

“…These results confirm RSF's superior performance and suggest that broader spatial context may enhance prediction accuracy. Additionally, our findings revealed that the surrounding hive count was the strongest predictor of beehive survival in both buffer scenarios. …”
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Multitask Change-Aware Network and Semisupervised Enhanced Multistep Training for Semantic Change Detection by Yifei Si, Jie Jiang

“…Compared to binary change detection, which only predicts the location of changes, SCD provides detailed from-to change information, helping to gain a comprehensive understanding and analysis of land cover and land use. …”
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Methodology of nonlinearity in the research of the phenomenon of the innovation space of higher school expansion by O. Voeykova

“…It allows combining both stationary and dynamic components of the nonlinear process under study in one model, revealing the nature of changes in both spatial and temporal properties accompanying the modification of higher education integrated into the global innovation space.The study’s results are presented as the parameters of the nonlinearity of the university innovation space expansion. …”
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The refractive index of silver nanowire networks: a heuristic approach to the foundations of the optical constants, from experiment to theory by Amaury Baret, Julia Baumgarten, François Balty, Frédéric Rabecki, Jérémy Brisbois, Buyun Zheng, Daniel Bellet, Ngoc Duy Nguyen

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Evidence for preferred propagating terrestrial heatwave pathways due to Rossby wave activity by Mingzhao Wang, Yu Huang, Christian L. E. Franzke, Naiming Yuan, Zuntao Fu, Niklas Boers

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Identification and Mechanistic Studies of Key Genes in Thalamic Hemorrhage Pain by Multi-omics by Chen Yang, Ju Gao, Yaqun Li, Yinggang Xiao, Tianfeng Huang

“…Methods: A mouse model of THP was established and mice were divided into THP and control groups. …”
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Cover crop impacts on soil organic matter dynamics and its quantification using UAV and proximal sensing by Nikolaos-Christos Vavlas, Rima Porre, Liang Meng, Ali Elhakeem, Fenny van Egmond, Lammert Kooistra, Gerlinde B. De Deyn

“…With proximal sensing (MIR) the best SOM prediction was achieved using SVR (R2= 0.84, RMSE= 1.55 g/kg SOM). …”
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Extraction of typical oyster pile columns in the Maowei Sea, Beibu Gulf, based on unmanned aerial vehicle laser point cloud orthophotos by Jinze Du, Jinze Du, Meiqin Huang, Zhenjun Kang, Zhenjun Kang, Zhenjun Kang, Yichao Tian, Yichao Tian, Yichao Tian, Jin Tao, Jin Tao, Qiang Zhang, Qiang Zhang, Yutong Xie, Yutong Xie, Yutong Xie, Jinying Mo, Jinying Mo, LiYan Huang, LiYan Huang, Yusheng Feng, Yusheng Feng

“…By employing band features and texture indices extracted from UAV’s multi-spectral images as data sources and combining them with a classification and prediction model based on deep learning convolutional neural networks (CNN), we successfully extract the desired oyster pile columns. …”
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Multi-omics analysis constructs a novel neuroendocrine prostate cancer classifier and classification system by Junxiao Shen, Luyuan Lu, Zujie Chen, Wei Guo, Shuwen Wang, Ziqiao Liu, Xuke Gong, Yiming Qi, Ruyi Jin, Cheng Zhang

“…In clinical settings, the use of the NEP100 model can greatly improve the diagnostic and prognostic prediction of NEPC. …”
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FMO2+ cancer-associated fibroblasts sensitize anti-PD-1 therapy in patients with hepatocellular carcinoma by Hui Li, Wenxin Xu, Qinghai Ye, Qiang Yu, Jialei Weng, Shaoqing Liu, Minghao Xu, Yinghao Shen, Hui-Chuan Sun, Yufei Zhao, Peiyi Xie, Mincheng Yu, Bugang Liang, Junbo Chen

“…CCL19 treatment potentiated the therapeutic efficacy of anti-PD-1 therapy in mouse orthotopic HCC models. A favorable immunotherapy response was observed in patients with HCC with high serum levels of CCL19.Conclusions We identified a novel FMO2+ CAF subset that serves as a critical regulator of microenvironmental immune properties and a predictive biomarker of the immunotherapy response in patients with HCC. …”
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Solving geocryology problems based on generalized Fourier theory for temperature waves in half-space by Anatoliy M. Afanasyev, Yulia S. Bakhracheva

“…Currently, in geocryology, to predict seasonal changes in the state of frozen rocks and soils, Fourier formulas obtained earlier are widely used, modeling temperature fluctuations in the surface layer of the earth’s crust caused by annual fluctuations in its surface temperature. …”
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Action Recognition with 3D Residual Attention and Cross Entropy by Yuhao Ouyang, Xiangqian Li

“…Additionally, the integration of Fast Fourier Convolution (FFC) enhances the network’s capability to effectively capture temporal and spatial features. Simultaneously, we used the cross-entropy loss function to describe the difference between the predicted value and GT to guide the model’s backpropagation. …”
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