Equity Impacts of Transportation Improvements On Core and Peripheral Cities by Shlomo Bekhor, Eran Leck, Daniel Gat

“…The aim of this paper is to assess the short-term impact of transportation improvements on the reduction of socio-economic disparities between core and peripheral cities. …”
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ensembleDownscaleR: R Package for Bayesian Ensemble Averaging of PM_2.5 Geostatistical Downscalers by Wyatt G. Madden, Meng Qi, Yang Liu, Howard H. Chang

“…Precise measurements of PM_2.5 are available through networks of monitors; however, these are spatially sparse and temporally incomplete. Chemical transport model (CTM) simulations and satellite-retrieved aerosol optical depth (AOD) measurements are two data sources that have been used to develop prediction models for PM_2.5 at fine spatial resolutions with increased spatial coverage. …”
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Utilizing deep learning for intelligent monitoring and early warning of slope disasters in public space design by Wang Ting, Ying Wang

“…It employs convolutional and recurrent neural networks for geo-hazard prediction, graph-theoretic optimization for decision-making, and adaptive spatial strategies to enhance model accuracy and responsiveness in changing environments.ResultsExperimental validation on real-world datasets shows that the proposed system effectively reduces false alarms and improves response times by 35% compared to traditional methods. …”
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Dynamic Virtual Simulation with Real-Time Haptic Feedback for Robotic Internal Mammary Artery Harvesting by Shuo Wang, Tong Ren, Nan Cheng, Rong Wang, Li Zhang

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DEIKSIS PERSONA, RUANG, DAN WAKTU DALAM NOVEL HELLO KARYA TERE LIYE by Husnawati, Nyoman Sudika, Irma Setiawan

“…The study focuses on three types of deixis: person deixis, spatial deixis, and temporal deixis. Data collection was carried out using the listening and note-taking method, then analyzed using the Miles and Huberman model, which includes data reduction, data presentation, and conclusion drawing. …”
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LiDAR-Based Road Cracking Detection: Machine Learning Comparison, Intensity Normalization, and Open-Source WebGIS for Infrastructure Maintenance by Nicole Pascucci, Donatella Dominici, Ayman Habib

“…Preprocessing included noise removal, resolution reduction to 2 cm, and ground/non-ground separation using the Cloth Simulation Filter (CSF), resulting in Bare Earth (BE), Digital Terrain Model (DTM), and Above Ground (AG) point clouds. …”
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СМЕНА ПАРАДИГМЫ РЕГИОНАЛЬНОЙ ПОЛИТИКИ В XXI ВЕКЕ (ЗАРУБЕЖНЫЙ ОПЫТ И РЕКОМЕНДАЦИИ ДЛЯ КАЗАХСТАНА) by N. K. Nurlanova

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The Potential of Informal Green Space (IGS) in Enhancing Urban Green Space Accessibility and Optimization Strategies: A Case Study of Chengdu by Yu Zou, Liwei Zhang, Wen Huang, Jiao Chen

“…The findings indicate that (1) IGS in the narrow sense constitute 21.2% of the overall green spaces within the study area, resulting in a reduction of the Gini coefficient by 0.103; (2) IGS in the broad sense, including public affiliated green spaces, shows an even more positive effect on improving the equity of green space supply, with a reduction of the Gini coefficient by 0.28; (3) there exists great spatial disparity in accessibility improvement effect by different types of IGS, so public policies must be customized to reflect local circumstances, taking into account the practicality and associated costs of management and maintenance of various IGS as well as accessibility enhancement; (4) certain older residential areas may not be amenable to effective enhancement through the use of IGS alone, and these should then adopt a multidimensional greening strategy such as green-roof. …”
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Multiscale exploration of spatiotemporal dynamics and decoupling effects of carbon emissions in China by Chong Liu, Xiaoman Wang, Haiyang Li

“…This paper combined energy consumption data with nighttime light data and adopted a spatial autocorrelation, variation coefficient (VC), and decoupling model to study the spatiotemporal dynamics and decoupling effect of CE at the three administrative scales of provinces, prefecture-level cities, and counties in China from 2000 to 2020. …”
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AI‐Based Digital Rocks Augmentation and Assessment Metrics by Lei Liu, Bernard Chang, Maša Prodanović, Michael J. Pyrcz

“…Yet, most data quantitative metrics flatten spatial data into vectors; therefore, removing the essential spatial relationships within the data. …”
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Machine Learning Recognizes Stages of Parkinson’s Disease Using Magnetic Resonance Imaging by Artur Chudzik

“…Using interpretable metrics, such as the volume- and centroid-based spatial distances, models achieved high diagnostic accuracy, presenting a promising framework for early-stage PD identification based on MRI scans.…”
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Spatiotemporal Assessment of Desertification in Wadi Fatimah by Abdullah F. Alqurashi, Omar A. Alharbi

“…A Desertification Index (DI) was developed based on four variables: NDVI, LST, precipitation, and ET. Five regression models—ridge, lasso, elastic net, polynomial regression (degree 2), and random forest regression—were applied to evaluate the predictive capacity of these variables in explaining desertification dynamics. …”
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Introducing the SMAP L4 Products and Investigating the Spatio-Temporal Variability of Soil Moisture in Iran by Ebrahim Asadi Oskouei, Leila Godarzy, Jalil Helali

“…Conclusion: Knowledge of the amount of soil moisture is important in hydrological modeling studies, improving numerical weather prediction (NWP) models, intelligent irrigation in agriculture and climate change. …”
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Impact of Urban Morphology on Carbon Emission Differentiation at County Scale in China by Chong Liu, Guangzhou Chen, Haiyang Li, Jiaming Li, Gubu Muga

“…This study’s findings establish a scientific foundation for land spatial planning and tailored emission reduction methods at the county scale in China.…”
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Protozoa-driven micro-food webs shaping carbon and nitrogen cycling in reservoir ecosystems by Xue Wang, Jinxian Liu, Baofeng Chai, Tiehang Wu

“…Functional gene analysis shows significant differences in carbon degradation, fixation pathways, and nitrogen transformation processes, with shallow waters exhibiting strong microbial-mediated nitrification and denitrification, while deep waters rely on anaerobic nitrogen reduction pathways. Partial least squares path modeling (PLS-PM) indicated that protozoan-driven micro-food web structures regulate microbial functional differentiation, thereby influencing carbon and nitrogen cycle. …”
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Energy-Efficient Design of Immigrant Resettlement Housing in Qinghai: Solar Energy Utilization, Sunspace Temperature Control, and Envelope Optimization by Bo Liu, Yu Liu, Qianlong Xin, Xiaomei Kou, Jie Song

“…The key findings reveal that comprehensive building envelope retrofits achieve an 80% reduction in energy consumption. South-facing sunspaces demonstrate effective thermal buffering capacity, though their spatial depth exhibits negligible correlation with heating energy requirements. …”
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Equity Impacts of Transportation Improvements On Core and Peripheral Cities by Eran Leck, Shlomo Bekhor, Daniel Gat

“…The aim of this paper is to assess the short-term impact of transportation improvements on the reduction of socio-economic disparities between core and peripheral cities. …”
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Progress and Challenges in Morphodynamics of Braided Rivers in Source Region of Yangtze River by LI Zhi-wei, OUYANG Wei-qi

“…The absence of high-temporal-resolution data across multiple spatial scales hampers the parameterization and validation of dynamic evolution models, resulting in difficulties in scale conversion.(3) The bidirectional effects of climate change remain unclear. …”
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Using satellite-based Sun-induced chlorophyll fluorescence and spectral reflectance for improving terrestrial CO2 flux estimates of India by Aparnna Ravi, Dhanyalekshmi Pillai, Christoph Gerbig, Stephen Sitch, Sönke Zaehle, Vishnu Thilakan, Chandra Sekhar Jha, Thara Anna Mathew

“…We improve these model predictions by additionally using satellite-based solar-induced chlorophyll fluorescence (SIF), soil temperature , and soil moisture specific to the vegetation classes of the domain. …”
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Building Type Classification Using CNN-Transformer Cross-Encoder Adaptive Learning From Very High Resolution Satellite Images by Shaofeng Zhang, Mengmeng Li, Wufan Zhao, Xiaoqin Wang, Qunyong Wu

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