Cross-scale study of heat transfer performance in metal rubber with complex topological structures by Kequan Tang, Liangliang Shen, Linwei Shi, Weidong Yan, Qiang Song, Zhiying Ren

“…This approach comprehensively considers critical factors such as porosity, temperature, and interlayer thermal resistance, culminating in the development of a predictive numerical model for thermal conductivity in porous metal-based materials. …”
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The effect of cell geometry on polarization in budding yeast. by Michael Trogdon, Brian Drawert, Carlos Gomez, Samhita P Banavar, Tau-Mu Yi, Otger Campàs, Linda R Petzold

“…In this paper we set out to elucidate the effect that the geometry of the cell can have on the dynamics of certain models of polarization. Specifically, we look at several spatial stochastic models of Cdc42 polarization that have been adapted from published models, on a variety of tip-shaped geometries, to replicate the shape change that occurs during the growth of the mating projection. …”
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Synergistic use of multi-sensor satellite data for mapping crop types and land cover dynamics from 2021 to 2023 in Northeast Thailand by Savittri Ratanopad Suwanlee, Surasak Keawsomsee, Emma Izquierdo-Verdiguier, Álvaro Moreno-Martínez, Sarawut Ninsawat, Jaturong Som-ard

“…The transfer learning RF model proved effective in mapping historical crop types and LC even when ground data was limited. …”
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Scenario Simulation of Ecosystem Services Based on Land Use/Land Cover Change in the Bailong River Basin, in China by Shuangying Li, Yanyan Zhou, Dongxia Yue, Zhongling Guo, Zhi Li

“…Studying LUCC and its impact on ESs is crucial for a comprehensive understanding of the impact of human activities on ecosystems. The InVEST model coupled with the predicted land use data were used to analyze the spatiotemporal characteristics of four ESs (soil conservation (SC), water yield (WY), carbon storage (CS), and habitat quality (HQ)) under three scenarios from 2040 to 2100 and quantified trade-offs/synergies and bundles of these ESs within the Bailong River Basin (BRB). …”
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Study on the Thermal Performance of Inner and Outer Wall Surfaces Based on FDM-ATSCM by Li Honglian, Cao Wenhui, Jiang Suwan, Sun Yinghao, Zhu Xinrong

“…By setting appropriate thresholds, the model identifies whether each meteorological factor causes significant changes in heat transfer, ultimately striking a balance between computational efficiency and accuracy.Results and Discussions　To validate the effectiveness of the FDM-ATSCM method, we conducted experimental comparisons under identical conditions between wall surface temperatures predicted by FDM-ATSCM, actual onsite measurements, and results from EnergyPlus. …”
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Bridging Scales: Coupling the Galactic Nucleus to the Larger Cosmic Environment by Kung-Yi Su, Priyamvada Natarajan, Hyerin Cho, Ramesh Narayan, Philip F. Hopkins, Daniel Anglés-Alcázar, Ben S. Prather

“…Coupling black hole (BH) feeding and feedback involves interactions across vast spatial and temporal scales that are computationally challenging to model. …”
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Spectral Evolution of Pickup Ions across Interplanetary Shocks in the Outer Heliosphere: Observational Constraints and Transport Simulations by Weining Wang, Jiansen He, Die Duan, Zhongwei Yang, Linghua Wang, Hui Li

“…In this study, we propose a PUI velocity distribution model by incorporating a power-law tail to account for suprathermal ions. …”
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A novel framework for analyzing rainy season dynamics in semi-arid environments: a case study in the Peruvian Rio Santa basin by L. Hänchen, E. Potter, C. Klein, P. Calanca, F. Maussion, W. Gurgiser, G. Wohlfahrt

“…Rainy season metrics, which aim to define and, in some cases, predict the onset and end of seasonal rains, can support agricultural planning, such as scheduling planting dates and managing water resources. …”
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A revised and expanded deep radiostratigraphy of the Greenland Ice Sheet from airborne radar sounding surveys between 1993 and 2019 by J. A. MacGregor, M. A. Fahnestock, J. D. Paden, J. Li, J. P. Harbeck, A. Aschwanden

“…This dataset can be used to validate the sensitivity of ice-sheet models to past major climate changes and constrain long-term boundary conditions (e.g., accumulation rate). …”
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White-Matter Connectivity and General Movements in Infants with Perinatal Brain Injury by Ellen N. Sutter, Jose Guerrero-Gonzalez, Cameron P. Casey, Douglas C. Dean, Andrea de Abreu e Gouvea, Colleen Peyton, Ryan M. McAdams, Bernadette T. Gillick

“…Tractography was used to identify the corticospinal tract, a key motor pathway often affected by perinatal brain injury, and tract-based spatial statistics (TBSS) were used to examine broader white matter networks. …”
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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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Identification of Priority Areas for Ecological Restoration at a Small Watershed Scale: A Case Study in Dali Prefecture of Yunnan Province in China by Qiyuan Zhou, Qiuping Zhu, Yu Feng, Jinman Wang

“…In view of the application of the InVest model in watershed-scale restoration, biodiversity assessment, and other fields, we utilize sub-watershed units and the InVEST model, and five key ecosystem services—water conservation, water purification (N/P), habitat quality, climate regulation, and soil retention—were quantified. …”
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The Concept of ʺEpidemiological Transitionʺ (Abdel Rahim Omran, 1971) and its Role in Research Regulating Problems of Natural Movement and Quantitative Population Reproduction: Rea... by V. Ruden`, O. Hodor

“…It is an axiom that demographic processes were and are an urgent problem, since, despite the political and socio-economic development, the countries of the world remain in the process of continuous qualitative restoration and change of human generations, which has a direct impact on the state of labor, educational and defense resources and population health in both spatial and temporal certainty. …”
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Deep learning-based image reconstruction benefits diffusion tensor imaging for assessing severity of depression by Yuanyuan Cui, Yihao Wang, Weimin Yuan, Youhan Zhang, Yunmeng Wang, Jiankun Dai, Jiankun Dai, Yuxin Cheng, Xin Zhang, Hongbiao Sun, Shuwen Dong, Jinlin Wang, Yonghai Bai, Shiyuan Liu, Yi Xiao

“…Two image sets were generated: one with the original DTI (ORI DTI) and one using DLR DTI. Tract-Based Spatial Statistics (TBSS) were used to compare the fractional anisotropy (FA) between DLR DTI and ORI DTI, as well as between patients with mild-to-moderate and those with severe depression. …”
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Estimating structure of understory bamboo for giant panda habitat by developing an advanced vertical vegetation classification approach using UAS-LiDAR data by Xin Shen, Lin Cao, Yisheng Ma, Nicholas C. Coops, Evan R. Muise, Guibin Wang, Fuliang Cao

“…Three-dimensional understory bamboo point clouds were successfully isolated from the forest point cloud, then bamboo structure predictive models were developed through understory bamboo point cloud metrics and applied over the entire study area to generate spatially continuous maps of understory bamboo structure. …”
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Mapping Mountain Permafrost via GPR-Augmented Machine Learning in the Northeastern Qinghai–Tibet Plateau by Yao Xiao, Guangyue Liu, Guojie Hu, Defu Zou, Ren Li, Erji Du, Tonghua Wu, Xiaodong Wu, Guohui Zhao, Yonghua Zhao, Lin Zhao

“…Thirteen classification algorithms were evaluated using 5-fold cross-validation repeated 40 times, with LightGBM, CatBoost, XGBoost, and RF achieving top performance (F1 > 0.98). Elevation-based spatial comparisons revealed that LightGBM and CatBoost produced more terrain-adaptive predictions at high altitudes and slope transitions. …”
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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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Research Progress and Prospects of Urban-Rural Integration Based on Scientific Knowledge Map by Gong Weixia, Ma Shujiao

“…This study proposes the following recommendations: (1) Strengthen multi-disciplinary, multi-dimensional, and multi-scale research: this includes enhancing interdisciplinary collaboration, innovating theories and methods, and building multilevel research systems to explore the spatial and temporal evolution of urban-rural integration across different scales; (2) Deepen research on the coupling and coordination between new types of urbanization and comprehensive rural revitalization: this involves exploring coordination mechanisms, refining the flow of key elements, discovering new models of urban-rural industrial integration, and promoting cultural exchange and integration; (3) Strengthen regional coordination research; expanding research fields, summarizing integration models from different regions, enhancing regional coordination and joint development, and building multiscale regional coordination mechanisms are essential; and (4) Advanced technological innovation and data-driven research: this includes using cutting-edge technologies to reveal trends in urban-rural integration, scientifically predicting urbanization processes, and driving industrial synergy and transformation.…”
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SOC: clay ratio: A mechanistically-sound, universal soil health indicator across ecological zones and land use categories? by Walter W. Wenzel, Alireza Golestanifard, Olivier Duboc

“…The set of relevant SOC drivers and their relative importance vary with spatial scale (entire study region versus agroecological and soil units), the aridity index (defined as MAT: MAP) and the state of soil development, as reflected by soil pH. …”
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Scientific geovisualization of the dynamics of Sargassum dispersion and landfall in the Caribbean, based on satellite imagery and numerical forecasts. by Francisco Javier Osorno-Covarrubias, Jorge Prado Molina, Gabriela Gómez-Rodríguez, Uriel Mendoza, Stéphane Couturier

“…For statistical purposes, rafts that land or drift outside the simulation range are logged with details of location, date, and time. 4) Animation Generation: Four animations are produced to visualize: a) Rafts movement, b) Rafts trajectories, c) The dynamics of surface forcings (currents, tides, and waves), and d) The dynamics of above-surface factors (i.e. wind drag, modeled as a percentage of wind speed). 5) Interactive 3D Visualization: All elements are integrated into an interactive globe featuring 3D bathymetry, allowing users to explore sargassum dispersion and landfall predictions (or hindcasts) for specific satellite observation dates. …”
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