Depression restoration in university students: Data-driven insights across three types of campus greennessOSF by Chaoyi Cui, Qianchen He, Huiming Liu

“…The data allow for a robust investigation into how different campus spatial configurations and green space attributes—such as accessibility, quality, and visual appeal—relate to student mental well-being. …”
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Transformer-Based Student Engagement Recognition Using Few-Shot Learning by Wejdan Alarefah, Salma Kammoun Jarraya, Nihal Abuzinadah

“…In this research, we propose an innovative FSL model that employs a prototypical network with the vision transformer (ViT) model pre-trained on a face recognition dataset (e.g., MS1MV2) for spatial feature extraction, followed by an LSTM layer for temporal feature extraction. …”
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Carbon dioxide pipelines are disproportionally located in marginalized communities in the United States by Julia A. Davis, Nafiseh Salehi, Liqing Li, Majid Shafiee-Jood

“…Using census-tract demographic data and pipeline spatial data, we applied LASSO regression to identify key demographic variables and incorporated them into binary logistic regression models to uncover if the locations of, and disadvantages associated with, carbon dioxide pipelines are equally distributed among different demographics. …”
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Effects of Monsoon Circulation on Bedload Transport in the Qiongzhou Strait and Adjacent Seas Based on SCHISM by Yuxin Huang, Xiangbai Wu, Huan Mei, Shouxian Zhu, Changliang Tong, Xinyi La

“…This study quantitatively investigates monsoon-driven bedload sediment transport mechanisms in the Qiongzhou Strait using the SCHISM model, revealing three key findings: (1) Monsoon seasonality governs net sediment flux through contrasting hydrodynamic regimes, with the winter monsoon establishing spatially coherent westward transport pathways, while the summer monsoon induces counteracting flow patterns that suppress net transport. (2) Winter conditions exhibit opposing transport vectors between tidal and monsoon forcing at both strait entrances, with monsoon dominance at the western entrance contrasting tidal predominance in the eastern sector. (3) Summer monsoon–tide hydrodynamic decoupling results in transport magnitudes ≤ 10% of tidal-driven quantities across critical cross-sections. …”
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Dynamic Steerable Patterning of Microscale Particles and Living Cells Using an Ultrasound‐Phased Array by Rick J. P. van Bergen, Bart G. W. Groenen, Daniëlle C. A. Duffhues, Richard G. P. Lopata, Carlijn V. C. Bouten, Hans‐Martin Schwab

“…The data are used to validate a numerical model designed to predict acoustic forces and particle displacement in current and future experiments. …”
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Energy efficiency and system complexity analysis of CNN based hybrid precoding for cell-free massive MIMO under terahertz communication by Tadele A. Abose, Yitbarek A. Mekonen, Binyam G. Assefa, Naol W. Gudeta

“…The CNN-based model not only mitigates pilot contamination (PC) but also enhances channel estimation by capturing temporal and spatial dynamics. …”
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<i>Foeniculum vulgare</i> Mill. Mitigates Scopolamine-Induced Cognitive Deficits via Antioxidant and Neuroprotective Mechanisms in Zebrafish by Ion Brinza, Razvan Stefan Boiangiu, Elena Todirascu-Ciornea, Lucian Hritcu, Gabriela Dumitru

“…This study aimed to investigate the effects of <i>F. vulgare</i> essential oil (FVEO; 25, 150, and 300 μL/L) on the cognitive performance and brain oxidative stress in a scopolamine (SCOP; 100 μM)-induced zebrafish model of cognitive impairment. Additionally, the pharmacokinetic properties and bioactivity profiles of the main FVEO constituents were predicted to be used in silico tools, including SwissADME, pkCSM, PASS online, and ADMETlab 2.0. …”
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Forecasting Spatiotemporal Dynamics of Daytime Surface Urban Cool Islands in Response to Urbanization in Drylands: Case Study of Kerman and Zahedan Cities, Iran by Mohammad Karimi Firozjaei, Naeim Mijani, Solmaz Fathololoumi, Jamal Jokar Arsanjani

“…While existing research has focused on the spatial and temporal changes of surface urban cooling island intensity (SUCII) in drylands in the past, there is a gap in predicting the future spatiotemporal changes in SUCII for cities within these dryland regions. …”
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A Comprehensive Review of Safety Monitoring Technologies for Concrete Face Rockfill Dams Addressing the Challenges of "Three Highs, One Deep, and One Narrow" by XIAO Sheng, YANG Jie, LU Xi, ZHOU Heng, CHENG Lin, MA Chunhui, TONG Fei

“…In the future, the predictive technology for the safety performance of CFRDs needs significant improvement. …”
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Eclipse Mapping with MIRI: 2D Map of HD 189733b from 8 μm JWST MIRI LRS Observations by Maura Lally, Ryan C. Challener, Nikole K. Lewis, Julie Inglis, Tiffany Kataria, Heather A. Knutson, Brian M. Kilpatrick, Natasha E. Batalha, Paul Bonney, Ian J. M. Crossfield, Trevor Foote, Gregory W. Henry, David K. Sing, Kevin B. Stevenson, Hannah R. Wakeford, Robert T. Zellem

“…Observations and models of transiting hot Jupiter exoplanets indicate that atmospheric circulation features may cause large spatial flux contrasts across their daysides. …”
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Rate-induced transitions and noise-driven resilience in vegetation pattern dynamics by L. Vanderveken, M. Crucifix

“…<p>Understanding the resilience and stability of vegetation patterns under changing environmental conditions is crucial for predicting ecosystem responses to climate change. This study investigates the dynamics of vegetation patterns in response to a spatially homogeneous decrease in rainfall across the entire domain. …”
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CT texture analysis in patients with locally advanced rectal cancer treated with neoadjuvant chemoradiotherapy: A potential imaging biomarker for treatment response and prognosis. by Choong Guen Chee, Young Hoon Kim, Kyoung Ho Lee, Yoon Jin Lee, Ji Hoon Park, Hye Seung Lee, Soyeon Ahn, Bohyoung Kim

“…Cox proportional hazards models were constructed to predict prognosis based on stage, age, and each texture feature. …”
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Aeromagnetic delineation of iron ore deposits in a complex geological terrain aided by fuzzy logic by Fahad Abubakar, Felix Bamidele Fatoye, Momohjimoh Abdulsalami, Abdullateef Aliyu

“…Validation using four known iron ore mining sites confirmed model accuracy, with all sites located within predicted high-potential zones. …”
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Combining a Standardized Growth Class Assessment, UAV Sensor Data, GIS Processing, and Machine Learning Classification to Derive a Correlation with the Vigour and Canopy Volume of... by Ronald P. Dillner, Maria A. Wimmer, Matthias Porten, Thomas Udelhoven, Rebecca Retzlaff

“…Finally, ML-based growth class prediction results were extensively discussed and evaluated for overall (accuracy, f1-weighted) and growth class specific- classification metrics (accuracy, user- and producer accuracy).…”
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RainHCNet: Hybrid High-Low Frequency and Cross-Scale Network for Precipitation Nowcasting by Lei Wang, Zheng Wang, Wenjun Hu, Cong Bai

“…Extensive experiments on the KNMI, Shanghai, and SEVIR datasets demonstrate that both models outperform state-of-the-art methods, particularly in predicting high-intensity rainfall events.…”
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Co‐Occurring Extremes of Fine Particulate Matter (PM2.5) and Ground‐Level Ozone in the Summer of Southern China by Yan Lyu, Haonan Wu, Xiaoran Liu, Fuliang Han, Fengmao Lv, Xiaobing Pang, Jianmin Chen

“…Through combining multi‐source data, Random Forest model well predicts PM2.5‐ozone co‐occurrence and identifies common precursors (e.g., volatile organic compounds) as important variables. …”
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A state-of-the-art review on machine learning techniques for driving behavior analysis: clustering and classification approaches by Mohammad Hassan Mobini Seraji, Sami Shaffiee Haghshenas, Sina Shaffiee Haghshenas, Vladimir Simic, Dragan Pamucar, Giuseppe Guido, Vittorio Astarita

“…This article gives a thorough overview of the important machine learning methods—especially clustering and classification techniques—that help analyze complex driving behaviors, predict fuel and energy use, and improve vehicle safety systems. …”
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Pervasive glacier retreats across Svalbard from 1985 to 2023 by Tian Li, Stefan Hofer, Geir Moholdt, Adam Igneczi, Konrad Heidler, Xiao Xiang Zhu, Jonathan Bamber

“…Abstract A major uncertainty in predicting the behaviour of marine-terminating glaciers is ice dynamics driven by non-linear calving front retreat, which is poorly understood and modelled. …”
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Suitable scale structures for urban multi-functions: an integrative approach grounded in socio-ecological system analysis by Wuyang Hong, Shuwen Yang, Renzhong Guo, Yelin Li, Lin Jiang, Xiaoming Li

“…Abstract Aims Research on the appropriate scale structure and spatial layout of ecological, urban, and agricultural spaces and the effective and methodical development and protection of urban space can provide a solid foundation for the sustainable development of the complex socio-economic urban environment. …”
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AI-based defect detection and self-healing in metal additive manufacturing by Jan Akmal, Kevin Minet-Lallemand, Jukka Kuva, Tatu Syvänen, Pilvi Ylander, Tuomas Puttonen, Roy Björkstrand, Jouni Partanen, Olli Nyrhilä, Mika Salmi

“…A convolutional neural network was trained (n = 211) and was verified with XCT. The model demonstrated prediction accuracy of 94% for the six classes of unfamiliar defective regions. …”
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