Urban Built Environment Perceptions and Female Cycling Behavior: A Gender-Comparative Study of E-bike and Bicycle Riders in Nanjing, China by Yayun Qu, Qianwen Wang, Hui Wang

“…This study combined the Social Ecological Model (SEM) with the theoretical perspective of Gendered Spatial Experience to explore the differentiated impacts of the Perceived Street Built Environment (PSBE) on the cycling behavior of men and women. …”
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Ecological Network Construction Based on Ecosystem Services and Landscape Pattern Indices in the Tabu River Basin by Weichen Zhang, Yuyang Fan, Bojie Wang

“…In this study, we aimed to identify ecological sources of the Tabu River Basin by quantifying five key ecosystem services and using a morphological spatial pattern analysis model. We further optimized resistance surfaces using landscape pattern indices, constructed an ecological network, and provided recommendations for sustainable management. …”
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Assessment of the temporal variations of surface water bodies in Dhaka City using Landsat imagery by Md Rayhan, Md Mahin Mobarrat, Maiesha Nujhat, Ronjan Kumar Paul, Md Khairul Amin

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Analysis Method for Ground Settlement Induced by Ultra-Deep Excavation in Hangzhou Soft Clay Considering Time-Space Effect by XIONG Yifan, YING Hongwei, ZHANG Jinhong, CHENG Kang, LI Binghe

“…Finally, a rapid approach was proposed for predicting ground settlements while accounting for the temporal and spatial influences. …”
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Simulated Directional Wave Spectra of the Wind Sea and Swell under Typhoon Mangkhut by Yu Yan, Mengxi Hu, Yugen Ni, Chunhua Qiu

“…A third-generation wave model is driven by the synthetic wind field combined with the revised Holland wind and surface wind product from the National Centers for Environmental Prediction (NCEP). …”
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Dynamic Amplification of Subtropical Extreme Precipitation in a Warming Climate by Jesse Norris, Gang Chen, Chao Li

“…Abstract Projected precipitation changes in a warming climate vary considerably, spatially, and between intensities. The changes can be greater or less than the ∼7% K−1 Clausius‐Clapeyron (CC) prediction, owing to dynamic effects. …”
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The Samples and Binary Fractions of Red Supergiants in M31 and M33 by the HST Observations by Min Dai, Shu Wang, Biwei Jiang, Ying Li

“…These results are in good agreement with predictions from the Binary Population and Spectral Synthesis binary evolution model.…”
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Assessment of Normalized Difference Vegetation Index based vegetation dynamics for monitoring rice growth and yield forecasting in the Mahaweli H region of Sri Lanka by Ganewatte Visal P., Abannikov Victor N., De Seram Osanda L., Wijayaratne Bimasha S., Vichare Aniket S.

“…In the regions of Talawa, Meegalewa, and Galnewa, negative correlation coefficients were recorded. Yield forecasting models developed for the subregions with positive correlations demonstrated high accuracy, confirming the potential of Normalized Difference Vegetation Index as a reliable indicator for rice yield prediction. …”
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Forecast of oil and gas reservoirs of the Sea of Okhotsk based on interpretation processing of seismic material by А. К. Shatyrov

“…Forecasting of oil and gas prospects in the Okhotsk Sea in areas where there is no deep drilling can be carried out using the following technologies: detailing the structural and tectonic structure of hydrocarbon traps; multi-feature prediction of hydrocarbon deposits; decomposition of the dispersion of the wave field; low-frequency resonance of seismic emission geodynamic noise; selection of oil and gas-containing objects.…”
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Investigating socioeconomic deprivation and antibiotic prescribing among older medicare patients using an instrumental variable approach by Mayar Al Mohajer, David Slusky, David Nix, Catia Nicodemo

“…The IV analysis then examined the relationship between predicted SDI and antibiotic days supplied (ln). Linear regression models estimated associations between SDI and its components, and antibiotic days supplied, adjusting for prescriber, beneficiary, and geographic factors. …”
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A Hybrid Deep Learning Approach for Bearing Fault Diagnosis Using Continuous Wavelet Transform and Attention-Enhanced Spatiotemporal Feature Extraction by Muhammad Farooq Siddique, Faisal Saleem, Muhammad Umar, Cheol Hong Kim, Jong-Myon Kim

“…The model is initially trained on a controlled laboratory bearing dataset and further validated on real and artificial subsets of the Paderborn bearing dataset, demonstrating strong generalization across diverse fault conditions. t-SNE visualizations confirm clear separability between fault categories, supporting the model’s capability for precise and reliable feature learning and strong potential for real-time predictive maintenance in complex industrial environments.…”
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Numerical simulation study of shear-seepage characteristics of fractured network under constant normal stiffness by YU Liyuan, WANG Xiaolin, YANG Hanqing, LIU Richeng, LI Shuchen

“…These insights refine predictive models for hydraulic fracturing, geothermal reservoir management, and subsurface storage under shear-dominated regimes.…”
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Simulation of the African ITCZ during austral summer seasons and ENSO phases: application of an RCM derived from stretched grid ESM by Teke S. Ramotubei, Teke S. Ramotubei, Willem A. Landman, Mohau J. Mateyisi, Shingirai S. Nangombe, Asmerom F. Beraki, Asmerom F. Beraki

“…IntroductionClimate predictability across timescales in a changing climate presents a unique opportunity and challenges for state-of-the-art climate models. …”
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Estimation of soil organic carbon content and dynamics in Mediterranean climate regions considering long-term monthly climatic conditions by Lei Shen, Wei Zhang, Duanqiang Zhai, Shuo Han, Shuang Tian

“…Results showed that the introduction of long-term average monthly climate data significantly improved the prediction accuracy of the models. The R2 value of the RF model was enhanced by 0.22, whilst the R2 of the LightGBM model improved by 0.20–0.21. …”
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Theory of Robust Quantum Many-Body Scars in Long-Range Interacting Systems by Alessio Lerose, Tommaso Parolini, Rosario Fazio, Dmitry A. Abanin, Silvia Pappalardi

“…We analytically solve for the eigenstates of this interacting impurity model by means of a novel polaron-type canonical transformation and show their self-consistent localization in large-spin sectors of the original Hamiltonian for 0<α<d (with d=spatial dimension of the lattice). …”
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RL-Net: a rapid and lightweight network for detecting tiny vehicle targets in remote sensing images by Yaoyao Du, Li Chen, Xingxing Hao

“…Comprehensive evaluations on the VisDrone2019 and UA-DETRAC datasets demonstrate that, compared to YOLOv9s model, RL-Net achieves a 34.5% reduction in parameters, a 4.4% reduction in computations, a 30.8% increase in Frames Per Second (FPS), and improvements of 2.5% in mean Average Precision (mAP) and 2% in recall, effectively balancing detection efficiency and performance.…”
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Improving the Regional Precipitation Simulation Corrected by Satellite Observation Using Quantile Mapping by Senfeng Liu, Srivatsan V. Raghavan, Ngoc Son Nguyen, Bhenjamin Jordan Ona, Sheau Tieh Ngai, Xin Zhang

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A Novel Dual-Stream Attention-Based Hybrid Network for Solar Power Forecasting by Rafiq Asghar, Michele Quercio, Lorenzo Sabino, Assia Mahrouch, Francesco Riganti Fulginei

“…Subsequently, the predictive accuracy of the developed model is compared with three single and five hybrid deep learning models. …”
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Assessment of yield stability patterns using sentinel-2 over a 7-year period by Svetlana Košánová, Andrej Halabuk, Pavol Kenderessy, Tomáš Rusňák

“…Shapley additive explanation analysis (SHAP) was applied to enhance model interpretation. Notably, elevation, topsoil spectral reflectance (from a Sentinel-2-based bare soil mosaic), topography and field size have been identified as key predictive features for the classification model.…”
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A Camera Calibration Method for Temperature Measurements of Incandescent Objects Based on Quantum Efficiency Estimation by Vittorio Sala, Ambra Vandone, Michele Banfi, Federico Mazzucato, Stefano Baraldo, Anna Valente

“…Infrared thermal cameras require knowledge of the emissivity coefficient, while multispectral pyrometers provide fast and accurate temperature measurements with limited spatial resolution. Bayer-pattern cameras offer a compromise by capturing multiple spectral bands with high spatial resolution. …”
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