Evaluation of agriculture land transformations with socio-economic influences on wheat demand and supply for food sustainability by Danish Raza, Hong Shu, Muhsan Ehsan, Hong Fan, Kamal Abdelrahman, Hasnat Aslam, Abdul Quddoos, Rana Waqar Aslam, Majid Nazeer, Mohammed S. Fnais, Azeem Sardar

“…Third, population dynamics were examined by applying an exponential growth model to forecast population growth and predict food demand. …”
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Vergence Eye Movements: From Basic Science to Clinical Application by Wolfgang Jaschinski, Rudolf Groner

“…The authors propose mathematical models of calibration as part of the analysis of the experimental data. …”
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Analysing LULC transformations using remote sensing data: insights from a multilayer perceptron neural network approach by Khadim Hussain, Kaleem Mehmood, Sun Yujun, Tariq Badshah, Shoaib Ahmad Anees, Fahad Shahzad, Nooruddin, Jamshid Ali, Muhammad Bilal

“…The study highlights the effectiveness of the MLP-NN model in accurately predicting changes in LULC. The model’s exceptional accuracy and proficiency make it a powerful tool for future LULC forecasts. …”
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Emission inventory development for spatiotemporal release of vanadium from anthropogenic sources in China by H. Zhang, H. Zhang, B. Zhang, B. Jiang, Q. Li, X. Hu, Y. Xing

“…Emissions induced by vanadium mining show remarkable spatial heterogeneity, with 66.1 % of output in southwestern China. …”
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Proximal and distal impacts of a megaproject on ecosystem services in rural territories of the Yucatán Peninsula, Mexico by Luis Zambrano, Tania Fernandez Vargas, Edgar J. González, Alma Mendoza-Ponce, Manuel Llano Vazquez Prada, Carla Flores Lot, Rogelio O. Corona-Nuñez, Enrique Martínez-Meyer

“…To understand the effects on ecosystem services, this study analyzed both the proximal and distal impacts of the “Tren Maya” railroad megaproject.MethodsUsing InVest models, which provide spatial quantitative analysis using land use information, among other variables. …”
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A social-ecological-technological vulnerability approach for assessing urban hydrological risks by S. Khromova, G. Villalba Méndez, M.J. Eckelman, P. Herreros-Cantis, J. Langemeyer

“…Hydrology-informed urban risk index was developed, quantifying seventeen indicators from historical and modeled data on sewer overflow and flood events. The spatially explicit SETS-based approach identifies high-risk communities and hotspots where multiple vulnerabilities intersect and can serve as a valuable tool for guiding policy and decision-making to support more resilient urban futures. …”
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Hypervelocity Stars Trace a Supermassive Black Hole in the Large Magellanic Cloud by Jiwon Jesse Han, Kareem El-Badry, Scott Lucchini, Lars Hernquist, Warren Brown, Nico Garavito-Camargo, Charlie Conroy, Re’em Sari

“…The predicted spatial and kinematic distributions of the simulated HVSs are remarkably similar to the observed distributions. …”
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Environmental factors influencing the odds of livestock predations by wolves in North–Eastern Italy across 10 years: a network analysis approach by Marcello Franchini, Salvatore Raniolo, Mirco Corazzin, Maurizio Ramanzin, Giulia Della Longa, Paolo Zanghellini, Natalia Bragalanti, Stefano Bovolenta

“…Large–scale data accessible to public institutions can help predict the temporal and spatial evolution of livestock predations by wolves. …”
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Rice Disease Detection: TLI-YOLO Innovative Approach for Enhanced Detection and Mobile Compatibility by Zhuqi Li, Wangyu Wu, Bingcai Wei, Hao Li, Jingbo Zhan, Songtao Deng, Jian Wang

“…Finally, this study adopted the WIoUv3 loss function and added a dynamic non-monotonic aggregation mechanism to the standard IoU calculation to more accurately evaluate and penalize the difference between the predicted and actual bounding boxes, thus improving the robustness and generalization ability of the model. …”
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Ordinal METAR Cloud Cover Classification in Sentinel-2 Satellite Data by Markus Gotz, Erik Wessel, Ugur Cayoglu, Babak Jahani, Charlotte Debus, Jan Cermak, Achim Streit

“…This work proposes a novel approach for predicting cloud cover in global satellite images by leveraging ordinal point labels from ground-based weather stations, rather than relying on spatially resolved cloud masks, and demonstrates the effectiveness of this approach using a rank loss-based convolutional neural network of the EfficientNet family. …”
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A strontium (87Sr/86Sr) isoscape of Southern Ethiopia: implications for hominin land use and faunal mobility patterns by Seminew Asrat, Seminew Asrat, Francesco Lucchini, Mary Anne Tafuri, Caterina Aureli, Marina Gallinaro, Andrea Zerboni, Marianna Fusco, Enza E. Spinapolice

“…The results show that our novel baseline isoscape displayed heterogeneous 87Sr/86Sr isotope ratios in both the measured and predicted values (ranging from 0.703 to 0.712), consistent with geological units, with an accurate model performance evaluated through Leave-One-Out Cross-Validation (LOOCV) technique. …”
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Leaf area index-based phenotypic assessment of sweet potato varieties using UAV multispectral imagery and a hybrid retrieval approach by Philemon Tsele, Abel Ramoelo, Lucy Moleleki, Sunette Laurie, Whelma Mphela, Natasha Tshuma

“…However, the BRT performance in-comparison to KRR, captured more spatial variability of observed LAI with a better prediction accuracy across the 20 sweet potato varieties. …”
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Integration of UAV Multi-Source Data for Accurate Plant Height and SPAD Estimation in Peanut by Ning He, Bo Chen, Xianju Lu, Bo Bai, Jiangchuan Fan, Yongjiang Zhang, Guowei Li, Xinyu Guo

“…This study aimed to develop an optimized estimation framework for peanut plant height and SPAD values through machine learning-driven integration of UAV multi-source data while evaluating model generalizability across temporal and spatial domains. …”
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An Estimate of Wolverine Density for the Canadian Province of Alberta by Jason T. Fisher, Mehnaz Jahid, Robin Gutsell, Anne Hubbs, Laura L. E. Cowen, Mirjam Barrueto, Nicole Heim, John Paczkowski

“…Densities were estimated using spatially explicit capture–recapture (SECR) models. …”
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Contribution of high turbidity to tidal dynamics in a curved channel in Zhoushan Islands, China by Li Li, Fangzhou Shen, Zhiguo He, Gangfeng Ma, Jiachen Wang, Kailong Huangfu

“…Tidal dynamics in the channel are spatially and temporally asymmetric. In this study, the three-dimensional tidal dynamics in the channel were analyzed using field data and simulated using FVCOM. …”
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PRODEM: an annual series of summer DEMs (2019 through 2022) of the marginal areas of the Greenland Ice Sheet by M. Winstrup, H. Ranndal, S. Hillerup Larsen, S. B. Simonsen, K. D. Mankoff, K. D. Mankoff, K. D. Mankoff, R. S. Fausto, L. Sandberg Sørensen

“…The PRODEMs are validated using leave-one-out cross-validation, and PRODEM19 is further validated against an external data set, showcasing their ability to correctly represent surface elevations within the associated spatially varying prediction uncertainties. We observe a general lowering of surface elevations during the 4-year PRODEM period, but the spatial pattern of change is highly complex and with annual changes superimposed. …”
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Simulated response of the climate of eastern Africa to stratospheric aerosol intervention by Herbert O. Misiani, Hussen S. Endris, Franklin J. Opijah, Jully O. Ouma, Betty N. Barasa, Mari R. Tye, Mari R. Tye, Douglas G. MacMartin

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Atmospheric Deposition of Phosphorus to the Everglades: Concepts, Constraints, and Published Deposition Rates for Ecosystem Management by Garth W. Redfield

“…Particle sources and sinks at the land-air interface produce variation in P deposition from the atmosphere across temporal and spatial scales. Natural plant canopies can affect deposition rates by changing the physical environment and surface area for particle deposition. …”
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Segmentation of the iliac crest from CT-data for virtual surgical planning of facial reconstruction surgery using deep learning by Stefan Raith, Tobias Pankert, Jônatas de Souza Nascimento, Srikrishna Jaganathan, Florian Peters, Mathias Wien, Frank Hölzle, Ali Modabber

“…In all cases, the bones were identified as contiguous objects in the correct spatial orientation. The geometries of the iliac crests were consistently and completely recognized on both sides without any gaps. …”
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Studying attention to IPCC climate change maps with mobile eye-tracking. by Doga Gulhan, Bahador Bahrami, Ophelia Deroy

“…This study examines trends in visual attention to climate change predictions in world maps using mobile eye-tracking while participants engage with the visualisations. …”
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