Calculation Models for Acoustic Analysis of St. Elizabeth of Hungary Church in Jaworzno Szczakowa by Krzysztof KOSAŁA

“…The next stages in the development of the index method for assessing the acoustic quality of churches were taking into account the audience, using simulation tests and determining the spatial distribution of the single number GAP index in an examined church. …”
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Spatial Estimation of Losses Attributable to Meteorological Disasters in a Specific Area (105.0°E–115.0°E, 25°N–35°N) Using Bayesian Maximum Entropy and Partial Least Squares Regre... by F. S. Zhang, S. B. Zhong, Z. T. Yang, C. Sun, C. L. Wang, Q. Y. Huang

“…However, few studies have been carried out by developing a regression model to estimate the effects of the spatial distribution of meteorological factors on losses associated with meteorological disasters. …”
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A cluster-based local modeling paradigm for high spatiotemporal resolution VPD prediction using multi-source data and machine learning by Mi Wang, Zhuowei Hu, Xiangping Liu, Wenxing Hou

“…The results show that the local modeling significantly enhances prediction accuracy, with the XGBoost model outperforming others across all clusters and maintaining high precision across seasons scales and different land use types. …”
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Simulation and Prediction of Spring Snow Cover in Northern Hemisphere by CMIP6 Model by Xulei WANG, Hui SUN, Hui GUO, Chula SA, Fanhao MENG, Min LUO

“…As one of the most sensitive natural elements in response to climate change， snow cover has a significant effect on the Earth's surface radiation balance and water cycle.The global snow cover area is approximately 46×106 km2 and 98% of the snow cover distributed in the Northern Hemisphere.Due to its distinctive radiative properties （high surface albedo） and thermal characteristics （low thermal conductivity）， changes in snow cover play a crucial role in the energy balance and water cycle between land and the atmosphere.In the context of global warming， the snow cover in the Northern Hemisphere has been decreasing in recent decades， especially in the spring.Therefore， the capabilities of CMIP6 （Coupled Model Intercomparison Project Phase 6） data to simulate the snow cover area were evaluated based on observational data and the future changes in snow cover were also assessed using a multi-model average in this study.By using the snow cover products from the National Oceanic and Atmospheric Administration/National Climatic Data Center （NOAA/NCDC） as reference data， the Taylor skill scoring， relative deviation， and other methods were applied to evaluate the spring snow cover （SCF） data in the Northern Hemisphere from the International Coupled Model Comparison Project Phase 6 （CMIP6） during 1982 -2014.The ensemble average of the top three models was further selected to predict the spatiotemporal variation characteristics of SCF under different emission scenarios from 2015 to 2099， providing insights into the modeling capabilities of CMIP6 and future changes in SCF.During the historical period （1982 -2014）， SCF was characterized by high coverage at high latitudes and low coverage at low latitudes， with high-altitude regions such as Tibetan Plateau and eastern Asia having higher snow coverage than those at the same latitudes.Overall， 68.37% of the regions in the Northern Hemisphere showed a decreasing trend in SCF， while 31.63% of the regions showed an increasing trend in SCF.Most CMIP6 models overestimated SCF in the Tibetan Plateau region compared to the reference data.In addition， most models simulated larger areas with a decreasing trend in SCF than those evaluated by the reference data and underestimated SCF in March， April， and May.Various models exhibited differing abilities to simulate SCF， with NorESM2-MM， CESM2， BBC-CSM2-MR， NorESM2-LM， and CESM2-WACCM demonstrating superior capabilities.The Multi-Model Ensemble Mean （MME） consistently outperformed individual models， closely aligning with observational data.There were significant differences in the ability of the CMIP6 models to simulate the spatial distribution， inter-annual variation trends， and intra-annual variations of SCF in the Northern Hemisphere.At the end of the 21st-century （2067 -2099）， SCF in the Northern Hemisphere exhibited a decreasing trend in most areas， which intensifies with increasing emission intensity.The changes in SCF were relatively consistent under different emission scenarios before 2040.SCF maintains a steady state under the SSP1-2.6 scenario， showed a slight decreasing trend under the SSP2-4.5 scenario， and showed a significant decreasing trend under the SSP5-8.5 scenario after 2040.…”
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Theoretical investigations on the geometric and electronic structures of polyacetylene molecule under the influence of external electric field

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Quantifying Seepage‐Face Evaporation and Its Effects on Groundwater Flow and Solute Transport in Small‐Slope Tidal Flat by Manhua Luo, Tianwei Wang, Xiaolong Geng, Shengchao Yu, Hailong Li

“…Compared to the results of our previous study, this paper shows that seepage‐face evaporation can (a) significantly increase the groundwater salinity in the upper intertidal zone, and form multiple groundwater circulation cells in the intertidal zone, (b) cause the disappearance of multiple seepage‐faces and reduce the spatial extent of seepage faces notably, (c) and intensify the groundwater and salt exchange as well as the seawater‐groundwater circulation through the intertidal zone.…”
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Threshold responses of freshwater fish community size spectra to invasive species by Bradley Novak, Brent A. Murry, Jeff S. Wesner, Vojsava Gjoni, Caroline C. Arantes, Erin Shepta, Justin P. F. Pomeranz, James R. Junker, Kathrine Zipfel, Andrew Stump, Levi E. Solomon, Kristopher A. Maxson, Jason A. DeBoer

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How topographic factors regulate vegetation vigor in reservoir drawdown zones with different levels of hydrological disturbances? by Xu Zhou, Zhaofei Wen, Shengjun Wu

“…Using a combination of the geographic detector and geographically weighted regression models, we quantified the effects of elevation, slope, and aspect on the spatial distribution of vegetation vigor, measured by the Enhanced Vegetation Index (EVI), and analyzed their regional variations. …”
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Normative Modeling Reveals Age‐Atypical Cortical Thickness Differences Between Hepatic Steatosis and Fibrosis in Non‐Alcoholic Fatty Liver Disease by Minchul Kim, Inpyeong Hwang, Kyu Sung Choi, Junhyeok Lee, Minjung Ryu, Jung Hyun Park, Joon Ho Moon

“…A publicly available neuroanatomical normative model analyzed cortical thickness distributions with data from around 58,000 participants. …”
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Impact of High Temperatures on Tourist Flows in Urban and Rural Areas: Climate Adaptation Strategies in China by Man Wei, Tai Huang

“…This reduction altered spatial patterns, shifting from a multicentric distribution to an urban-centered concentration. …”
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Dynamic Load Balancing Based on Hypergraph Partitioning for Parallel Geospatial Cellular Automata Models by Wei Xia, Qingfeng Guan, Yuanyuan Li, Hanqiu Yue, Xue Yang, Huan Gao

“…However, the spatial distribution of computational intensity often changes along with the spatiotemporal dynamics of LULC during the simulation, leading to an increase in load imbalance among computing units and degradation of the computational performance of a parallel CA. …”
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Ultrasonic Experimental Evaluation of the Numerical Model of the Internal Fluid Flow in the Kidney Cooling Jacket by Barbara Gambin, Ilona Korczak-Cegielska, Wojciech Secomski, Eleonora Kruglenko, Andrzej Nowicki

“…It was important for justifying the use of numerical modelling in designing the baffles distribution (internal walls in the flow space) for obtaining the most spatially uniform field of flow velocity.…”
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Thermo-Mechanical Behavior of Polymer-Sealed Dual-Cavern Hydrogen Storage in Heterogeneous Rock Masses by Chengguo Hu, Xiaozhao Li, Bangguo Jia, Lixin He, Kai Zhang

“…Contour analyses further show that fracture orientation and spatial distribution significantly influence stress redistribution and deformation localization. …”
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A linear tessellation model for the identification of "food desert": A case study of Shanghai, China. by Lu Wang, Yakun He, Zhonghai Yu, Hongrui Wang, Wenjuan Ye, Xin Li, Yingping Liu, Junxiao Zhang

“…Finally, the resident income conditions in different modes are fitted based on the housing price data and the spatial distribution of four "food desert" patterns are detected by the overlay analysis of food accessibility and resident income conditions. …”
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TROLL 4.0: representing water and carbon fluxes, leaf phenology, and intraspecific trait variation in a mixed-species individual-based forest dynamics model – Part 2: Model evaluat... by S. Schmitt, S. Schmitt, S. Schmitt, F. J. Fischer, J. G. C. Ball, N. Barbier, M. Boisseaux, D. Bonal, B. Burban, X. Chen, G. Derroire, G. Derroire, G. Derroire, J. W. Lichstein, D. Nemetschek, N. Restrepo-Coupe, S. Saleska, G. Sellan, P. Verley, G. Vincent, C. Ziegler, J. Chave, I. Maréchaux

“…Here we evaluate the performance of TROLL 4.0 for two Amazonian sites with contrasting soil and climate properties. We assessed the model's ability to represent forest structure, composition, and dynamics using lidar-derived spatial distribution of top canopy height and forest inventories combined with information on plant functional traits. …”
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Assessment of Habitat Suitability and Identification of Conservation Priority Areas for Endangered Marco Polo Sheep Throughout Khunjerab National Park (Pakistan) and Tashkurgan Nat... by Ishfaq Karim, Xiaodong Liu, Babar Khan, Tahir Kazmi

“…Spatial predictions were generated to map potential distribution zones, aiding conservation planning for this endangered species. …”
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A MaxEnt-TRIGRS hybrid model with dynamic safety factor mapping for enhanced debris flow susceptibility assessment in rainfall-triggered terrains by Xinlong Xu, Yue Qiang, Li Li, Siyu Liang, Tao Chen, Wenjun Yang, Xinyi Tan, Xi Wang, He Yang

“…Our methodology consists of three steps: (1) Use TRIGRS to compute rainfall-induced safety factors (FS) and identify unstable zones (FS < 1), which serve as the positive-sample database for MaxEnt; (2) Employ the MaxEnt model—using the TRIGRS-derived positive samples and historical debris-flow factors—to predict the spatial distribution of susceptibility; (3) Integrate both outputs spatially in GIS using dynamic weighting. …”
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OCTOPUS: Across-social network user identification via multi-category spatio-temporal trajectories by Yating Qu, Ling Xing, Kaikai Deng, Honghai Wu, Yue Ling, Deshun Jia

“…To this end, we propose OCTOPUS, which consists of three modules: (i) a spatio-temporal extraction module adopts forward and backward LSTM networks to enhance the capacity of characterize spatio-temporal sequences, followed by using an attention mechanism to output complete user spatio-temporal features; (ii) a temporal perception module extracts temporal features from fine-grained and coarse-grained levels; (iii) a spatial location module obtains the spatial distribution of users to output user trajectory pair characteristics from global space. …”
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Longitudinal path analysis of ecosystem water yield effects and its driving forces in the upper Yangtze River basin by Hongxiang Wang, Jiaqi Lan, Lintong Huang, Xuyang Jiao, Kaiang Zhao, Wenxian Guo

“…This study evaluated the spatiotemporal changes in water yield (WY) from 2000 to 2020 and analyzed interactions between human activities and climate factors using the InVEST-AWY and SWAT models. The raster- and sub-basin-scale simulations captured spatial heterogeneity and validated the model outputs. …”
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Sensitivity Analysis and Performance Evaluation of the WRF Model in Forecasting an Extreme Rainfall Event in Itajubá, Southeast Brazil by Denis William Garcia, Michelle Simões Reboita, Vanessa Silveira Barreto Carvalho

“…The results showed that none of the simulations accurately captured the amount and spatial distribution of precipitation over the region, likely due to the complex topography and convective nature of the studied event. …”
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