Assessing the impact of land use and land cover change on the Densu Delta wetland using Markov chain modeling and artificial neural networks by Cynthia Laar, Kevin Buah Kofi Annan, Abass Gibrilla, Zenobia Kusi-Afrakoma, Owusu Korkor-Asante, Michael Saah-Hayford, Courage Egbi, Dickson Abdul-Wahab, Julliet Attah, Geophrey Anornu

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Predicting potential biomass production by geospatial modelling: The case study of citrus in a Mediterranean area by G.A. Catalano, P.R. D'Urso, C. Arcidiacono

“…The methodology combines Geographic Information System (GIS) tools, for data interpolation and map overlays, with Software for Assisted Habitat Modelling (SAHM) for local level simulations.The results of the different models showed accurate and spatially coherent predictions, with AUC values ranging from 0.85 to 0.90, and highest potentialities in the northern and eastern regions of the study area. …”
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Selecting Appropriate Model Complexity: An Example of Tracer Inversion for Thermal Prediction in Enhanced Geothermal Systems by Hui Wu, Zhijun Jin, Su Jiang, Hewei Tang, Joseph P. Morris, Jinjiang Zhang, Bo Zhang

“…Abstract A major challenge in the inversion of subsurface parameters is the ill‐posedness issue caused by the inherent subsurface complexities and the generally spatially sparse data. Appropriate simplifications of inversion models are thus necessary to make the inversion process tractable and meanwhile preserve the predictive ability of the inversion results. …”
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Optimizing Clinical Management of COVID-19: A Predictive Model for Unvaccinated Patients Admitted to ICU by Ahmed Farhan, Khouloud Ayed, Sara Zayati, Rym Akrout, Akram Dlala, Amal Abouda, Nesrine Zoghlami, Halima Mahjoubi, Iheb Labbane, Asma Gati

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Spatiotemporal heterogeneity and its influencing factors: a perspective on the carbon emissions in China’s beef cattle industry by Yumeng Sun, Mingli Wang

“…The western region remains the core of high emissions. (3) Carbon emission dynamics indicate a trend of spreading from high-emission regions to peripheral areas, with medium- and small-scale farming regions having greater potential for emission reduction. (4) Improvements in environmental governance, mechanization, and education significantly reduce carbon emissions per unit of beef, driving emission reductions in neighboring regions through spatial spillover effects. …”
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A Meteorological Data-Driven eLoran Signal Propagation Delay Prediction Model: BP Neural Network Modeling for Long-Distance Scenarios by Tao Jin, Shiyao Liu, Baorong Yan, Wei Guo, Changjiang Huang, Yu Hua, Shougang Zhang, Xiaohui Li, Lu Xu

“…A multi-tier neural network architecture was developed, incorporating spatial analysis of propagation distance impacts on model accuracy. …”
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Importance Sampling for Cost-Optimized Estimation of Burn Probability Maps in Wildfire Monte Carlo Simulations by Valentin Waeselynck, David Saah

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Improving National Forest Mapping in Romania Using Machine Learning and Sentinel-2 Multispectral Imagery by Mohamed Islam Keskes, Aya Hamed Mohamed, Stelian Alexandru Borz, Mihai Daniel Niţă

“…To ensure the reliability of the model predictions, extensive field campaigns were conducted across representative Romanian forests. …”
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Stressor-driven changes in freshwater biological indicators inform spatial management strategies using expert knowledge, observational data, and hierarchical models by Sean C. Emmons, Matthew J. Cashman, Rosemary M. Fanelli, Greg J. Pond, Gregory B. Noe, Taylor E. Woods, Kelly O. Maloney

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Benefit Analysis of Precursor Emission Reduction on PM2.5: Using CMAQ-RSM to Evaluate Control Strategies in Different Seasons by Chih-Rung Chen, Hsin-Chih Lai, Min-Chuan Hsiao, Hwong-wen Ma

“…To implement more effective management of this problem, the sensitivity of ambient PM2.5 reduction to precursors needs to be clarified. In this study, a mature air quality model was used to simulate the contribution of precursors emission reduction to decreased PM2.5 concentration. …”
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Improving GNSS precise point positioning with tropospheric constraints from data-driven numerical weather prediction model by Yuanfan Deng, Wu Chen, Junsheng Ding, Ahmed El-Mowafy, Duojie Weng, Long Tang, Lei Bai, Xiaolong Mi

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Three-Dimensional-Printed Models: A Novel Approach to Ultrasound Education of the Placental Cord Insertion Site by Samantha Ward, Sharon Maresse, Zhonghua Sun

“…PCI can be complex, particularly in cases of abnormal PCI, and requires proficient sonographer spatial perception. The current literature describes the increasing potential of three-dimensional (3D) modelling to enhance spatial awareness and understanding of complex anatomical structures. …”
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Impacts of global climate change on the spatial range of insects distributed across the Pacific Ocean by Ziheng Ma, Haoyu Liu, Yuxia Yang

“…In this study, we focus on this issue with a small yet ancient group of soldier beetles, Trypherus, as a case study. Through spatial analysis and ecological niche modeling approaches, we analyze the geographical distribution pattern and habitat suitability for Trypherus, and further predict its potential changes in suitable habitats under different future climate scenarios. …”
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Digital Twin Framework for Bridge Slab Deterioration: From 2D Inspection Data to Predictive 3D Maintenance Modeling by Hyunhye Song, Kiyeol Kim, Jihun Shin, Gitae Roh, Changsu Shim

“…Based on this data, eight representative damage states were defined to support the prediction of the service life. The damage and repair history was embedded into the 3D bridge models using a unique coding system to enable temporal and spatial tracking. …”
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Modeling timing of sexual debut among women in Zimbabwe using a Geoadditive Discrete-Time survival approach by Alphonce Bere, Innocent Maposa, Zvifadzo Matsena-Zingoni, Halima S. Twabi, Jesca M. Batidzirai, Geoffrey C. Singini, Nobuhle Mchunu, Justine B. Nasejje, Maureen Moyo-Chilufya, Oludoyinmola Ojifinni, Portia Nevhungoni, Alfred Musekiwa

“…Results Our findings show that women with primary education (aOR = 0.62,95% Crl:0.47–0.81), secondary education (aOR = 0.25,95% Crl:0.19–0.33) and higher education (aOR = 0.06,95% Crl:0.04–0.09) had lower odds of early sexual debut than those with no education. …”
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Application of Proper Orthogonal Decomposition in Spatiotemporal Characterization and Reduced-Order Modeling of Rotor–Stator Interaction Flow Field by Yongkang Lin, Weijian Yang, Hu Wang, Fazhong Wang, Jie Hu, Jianyao Yao

“…This study derives the Toeplitz structure of the correlation matrix in proper orthogonal decomposition (POD) for strictly periodic flow fields and reveals that the POD spatial modes appear in pairs with a 90° spatial phase difference, which originates from the cosine and sine form of the eigenvectors of the Toeplitz matrix. …”
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Estimation of Forest Aboveground Biomass Using Sentinel-1/2 Synergized with Extrapolated Parameters from LiDAR Data and Analysis of Its Ecological Driving Factors by Xu Xu, Jingyu Yang, Shanze Qi, Yue Ma, Wei Liu, Luanxin Li, Xiaoqiang Lu, Yan Liu

“…Focusing on Guangdong Province, this study proposes a novel approach that spatially extrapolates airborne LiDAR-derived Forest structural parameters and integrates them with Sentinel-1/2 data to construct an AGB prediction model. …”
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A new framework for landslide susceptibility mapping in contiguous impoverished areas using machine learning and catastrophe theory by Wei Zhou, Yingzhi Zhou, Shuneng Liang, Chengnian Zhang, Hongzhou Dai, Xiaofei Sun

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Investigation of the spatial distribution of tunnel seepage under varying drainage capacities in water-abundant regions by Qing Xu, Pengfei Li, Chongbang Xu, Siqing Wang, Sulei Zhang

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Community perception of forest reserve regulations enforcement in the Tano-Offin forest reserve, Ghana by Augustus Kweku Sobeng, Joseph Oduro Appiah, Dina Adei, Janet Adomako, Williams Agyemang-Duah, Prince Peprah

“…By using survey data from the Tano-Offin Forest Reserve, we develop a model in this study to examine the spatial, socioeconomic, and demographic factors that influence local perception about forest reserve regulations enforcement. …”
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