Indigenous‐Led Analysis of Important Subsistence Species Response to Resource Extraction by Kathleen A. Carroll, Fabian Grey, Nicholas Anderson, Nelson Anderson, Jason T. Fisher

“…Here, the Indigenous authors designed the study and processed remote camera trap data, then sought out Western scientists to generate generalized linear models to evaluate moose habitat use and spatial‐numerical responses to possible stressors in north‐central Alberta, including fire, harvest, oil and gas extraction, and other disturbances. …”
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Loss Function Optimization Method and Unsupervised Extraction Approach D-DBSCAN for Improving the Moving Target Perception of 3D Imaging Sonar by Jingfeng Yu, Aigen Huang, Zhongju Sun, Rui Huang, Gao Huang, Qianchuan Zhao

“…By assigning different weights to data points in different density regions, the model pays more attention to accurate predictions in a sparse area, resulting in a 6.939 improvement in mIOU for semantic segmentation tasks, while lakebed mIOU achieved a high score of 99.28. …”
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Regional Glacier Mapping and Change Analysis in the Gangshika Region of Qilian Mountain Based on Deep Learning and Satellite Data Time-Series by Lihao Chen, Wei Xu, Zhen Cao, Jiaqi Zhang, Zhizhong Kang

“…For the extraction of glaciers with different scales, multiscale contextual information was represented through Atrous spatial pyramid pooling module. The predicted probability maps were first obtained. …”
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Long short-term memory exploitation of satellite gravimetry to infer floods by Omid Memarian Sorkhabi, Joseph Awange

“…Flood forecasting is a vital segment of disaster risk management in that it contributes to the prediction of the magnitude, occurrence, duration and timing of floods. …”
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The application of unoccupied aerial systems (UAS) for monitoring intertidal oyster density and abundance by Jenny Bueno, Sarah E. Lester, Joshua L. Breithaupt, Sandra Brooke

“…These findings allowed us to extract clusters from geospatial products and predict live oyster abundance and spatial density on 138 reefs covering 138 382 m2 over two locations. …”
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How does ecological compensation change in Hubei Province based on a multi-scenario simulation of ecosystem services value? by Shuxian Wang, Chao Liu, Xinhai Lu, Xia Hong, Shuangyu Yang

“…Therefore, this study predicted the spatio-temporal evolution of ecosystem service value (ESV) and ecological footprint using the FLUS and GM (1,1) models in Hubei Province. …”
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Estimation of soil organic carbon content and dynamics in Mediterranean climate regions considering long-term monthly climatic conditions by Lei Shen, Wei Zhang, Duanqiang Zhai, Shuo Han, Shuang Tian

“…Results showed that the introduction of long-term average monthly climate data significantly improved the prediction accuracy of the models. The R2 value of the RF model was enhanced by 0.22, whilst the R2 of the LightGBM model improved by 0.20–0.21. …”
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Getting NBA Shots in Context: Analysing Basketball Shots with Graph Embeddings by Schmid Marc, Schöpf Moritz, Kolbinger Otto

“…We introduce a graph neural network to process a graph based on player and ball tracking data to compute expected shot quality. We evaluate this model against other models focusing on calibration. …”
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A Camera Calibration Method for Temperature Measurements of Incandescent Objects Based on Quantum Efficiency Estimation by Vittorio Sala, Ambra Vandone, Michele Banfi, Federico Mazzucato, Stefano Baraldo, Anna Valente

“…Infrared thermal cameras require knowledge of the emissivity coefficient, while multispectral pyrometers provide fast and accurate temperature measurements with limited spatial resolution. Bayer-pattern cameras offer a compromise by capturing multiple spectral bands with high spatial resolution. …”
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cogsworth: A Gala of COSMIC Proportions Combining Binary Stellar Evolution and Galactic Dynamics by Tom Wagg, Katelyn Breivik, Mathieu Renzo, Adrian M. Price-Whelan

“…We provide a detailed explanation of the functionality of cogsworth and demonstrate its capabilities through a series of use cases: (1) we predict the spatial distribution of compact objects and runaways in both dwarf and Milky Way–like galaxies; (2) using a star cluster from a hydrodynamical simulation, we show how supernovae can change the orbits of stars in several ways; and (3) we predict the separation of disrupted binary stellar companions on the sky and create a synthetic Gaia color–magnitude diagram. …”
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Estimating ocean currents from the joint reconstruction of absolute dynamic topography and sea surface temperature through deep learning algorithms by D. Ciani, C. Fanelli, B. Buongiorno Nardelli

“…Building upon recent findings, we conduct an Observing System Simulation Experiment (OSSE) relying on Copernicus numerical model outputs (with respective temporal and spatial resolutions of 1 d and 1/24°), and we present a strategy for further refinements. …”
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Human–wildlife interactions by C. Rosell, F. Llimona

“…The second paper provides an example of how the distribution of irrigated croplands influences wild boar roadkills in NW Spain (Colino–Rabanal et al., 2012). By modeling the spatial distribution of wild boar collisions with vehicles and using generalized additive models based on GIS, the authors show that the number of roadkills is higher in maize croplands than in forested areas. …”
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Research on Refined Method for Core Inventory Calculation in Pebble-bed High-temperature Gas-cooled Reactor by CAO Chenghao1, CHEN Haiying2, WANG Wenyi1, LIANG Jingang1, SHE Ding1, CAO Jianzhu1

“…Compared to the uniform flow velocity model, the non-uniform flow velocity model, due to smaller differences in average burnup increments among various core channels, results in a more uniform axial burnup gradient. …”
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A species-level multi-trophic metaweb for Switzerland by Merin Reji Chacko, Camille Albouy, Florian Altermatt, Joan Casanelles-Abella, Martin Brändle, Victor Boussange, Fadri Campell, Willem N. Ellis, Fabian Fopp, Martin M. Gossner, Hsi-Cheng Ho, Alain Joss, Pascal Kipf, Felix Neff, Andjeljko Petrović, Vincent Prié, Željko Tomanović, Nik Zimmerli, Loïc Pellissier

“…Abstract Understanding how species interact within ecological networks is essential for predicting the consequences of environmental change, from trophic cascades to broader changes in species distributions and ecosystem functioning across large spatial scales. …”
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Soil Texture Mapping in the Permafrost Region: A Case Study on the Eastern Qinghai–Tibet Plateau by Wangping Li, Yadong Liu, Xiaodong Wu, Lin Zhao, Tonghua Wu, Guojie Hu, Defu Zou, Yongping Qiao, Xiaoying Fan, Xiaoxian Wang

“…These results showed that random forest applies to predicting the spatial distribution of soil particle sizes for areas with complex terrains.…”
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Factors influencing agroforestry practices adoption in the central river Region of The Gambia by Kennedy Muthee, Priscilla Wainaina, Lalisa Duguma, Christine Majale, Monica Mucheru-Muna, Jane Mutune, Divine Foundjem-Tita, Alagie Bah, Peter Minang

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Physical processes influencing the Asian climate due to black carbon emission over East Asia and South Asia by F. Luo, B. H. Samset, C. W. Stjern, M. Joshi, L. J. Wilcox, R. J. Allen, W. Hua, S. Li, S. Li

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Identification of matrix stiffness-related molecular subtypes in HCC via integrating multi-omics analysis and machine learning algorithms by Hanqi Li, Jiayi Zhang, Yu Shi, Huanhuan Wang, Ruida Yang, Shaobo Wu, Yue Li, Xue Yang, Qingguang Liu, Liankang Sun

“…PPARG, the key gene with the greatest contribution to the model, was selected for validation. Single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) analyses assessed matrix stiffness activity scores across different cell subgroups and examined PPARG spatial localization within tissues. …”
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Prognostic and immunotherapeutic potential of disulfidptosis-associated signature in pancreatic cancer by Ran Cui, Gaoming Wang, Renhao Hu, Yongkun Wang, Huiling Mu, Yanxiang Song, Bo Chen, Xiaohua Jiang

“…An 8-gene disulfidptosis-related prognostic signature was established by constructing massive LASSO-Cox regression models and validated by multiple external PDAC cohorts. …”
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Identifying dispersal events of red foxes (Vulpes vulpes) using early warning signals by Felicitas Oehler, Janosch Arnold, Klaus Hackländer, Johannes Signer, Stéphanie C. Schai-Braun, Robert Hagen

“…Methods We tested whether early warning signals (EWSs) on time series of the NSD, can be used to predict dispersal events. To identify EWSs we conducted a rolling window approach and evaluated the dispersal events by performing a spatial cluster analysis with the mechanistic range shift analysis (MRSA). …”
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