Water-absorbing bags for high-altitude aerial firefighting: Mathematical modeling and drop pattern analysis by Haoran Sun, Chengyun Wu, Dachuan Zhang, Yang Wu, Renyu Hu, Yanmeng Wang, Yaru Tian, Chuyun Luo, Haitao Hu

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Patterns of student socio-emotional development and teacher-student-relationship-quality for high-school students with and without special educational needs: a multigroup latent tr... by Giuliana Pastore, Wassilis Kassis, André Kunz, Reto Luder

“…The teacher-student-relationship-quality (TSRQ) plays here a key role, especially for students with special educational needs (SEN). There is empirical evidence that student development and TSRQ are linked in various ways to different types of SEN, and that the school model (low versus highly selective) can shape them differently. …”
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Prediction Model of Household Carbon Emission in Old Residential Areas in Drought and Cold Regions Based on Gene Expression Programming by Shiao Chen, Yaohui Gao, Zhaonian Dai, Wen Ren

“…To support the national goals of carbon peaking and carbon neutrality, this study proposes a household carbon emission prediction model based on Gene Expression Programming (GEP) for low-carbon retrofitting of aging residential areas in arid-cold regions. …”
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Spatiotemporal pattern evolution and quantitative prediction of electrical carbon emissions from a demand-side perspective in urban areas by Ying Tian, Hui Cao, Dapeng Yan, Jinmei Chen, Yayan Hua

“…Abstract Amid global climate change, analyzing spatiotemporal patterns and predicting urban demand-side electrical carbon emissions is vital for regional low-carbon transitions. …”
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Predicting Students’ Performance Using a Hybrid Machine Learning Approach by Ropafadzo Duwati, Tawanda Mudawarima

“…Previous studies have employed individual ML algorithms for performance prediction; these models often suffer from limitations such as low accuracy and bias towards specific data characteristics. …”
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Experimental Study on the Influence Patterns of Buildings Displaced and Buried by Debris Flow by FENG Lei, SONG Dongri, CHEN Xiaoqing, LIU Jia, CHEN Qian, LIU Yunhui

“…ObjectiveThis study clearly determines the physical characteristic factors that govern the displacement and burial of buildings by debris flow, and clarifies the impact patterns of these physical characteristic factors on the deposition positions of buildings in debris flow. …”
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Experimental Analysis of Rainfall-Induced Instability and Failure Patterns in Loess Fill Slopes by Jinlian Ma, Qian Wang, Xiumei Zhong, Ping Wang, Xiaohui Yang

“…These results offer valuable guidance for the design of support systems and drainage infrastructure in loess fill slopes, and provide practical insights for early-warning systems, hazard prediction, and disaster risk reduction strategies.…”
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Psychometric Model of College Students Based on Time Series Analysis and Its Application in Educational Management by Lu Lu

“…This paper analyzes the psychometric behavior data, uses the time series analysis method for behavior prediction, deeply mines the relevant component information of the psychometric data, and solves the problems of weak correlation between the functions of the psychometric platform and low data accuracy of the psychometric model. …”
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Prediction of litchi flower induction in South China region based on the CMIP6 climate model by HOU Wei, ZHANG Liuhong, ZHANG Lei, LUAN Lan, ZHANG Mingjie, WANG Xiuzhen, ZHANG Hui

“…In recent years, the flowering rate of medium-late maturing litchi varieties in the low-latitude regions of South China has generally been low, resulting in a pronounced alternative-bearing years with high and low production. …”
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Artificial intelligence model in the cognitive and learning activities of university subjects by N. Abishev, R. Ramazanov, M. Abaideldanova, K. Chesnokova, A. Baizhumayeva

“…The authors design this model using algorithms–sets of rules that enable programs to make decisions, recognize patterns, and generate predictions based on input data relevant to the learning and cognitive processes of university subjects. …”
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Mind Over Waste: Decoding the Mental Models of Hard-to-Reach in Household Waste Practices by Bremane Inguna, Liberova Veronika, Bezrucko Alise Egija, Blumberga Dagnija, Blumberga Andra

“…The Mental Modeler tool is used to predict behavioural patterns of different consumer groups and simulate the impact of various scenarios on these behaviours. …”
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Patterns of Factors in the National Institute on Aging Health Disparities Research Framework Domains and Mild Cognitive Impairment Risk by Maria Vassilaki, MD, PhD, Jeremiah A. Aakre, MPH, Timothy G. Lesnick, MS, Walter K. Kremers, PhD, Jonathan Graff-Radford, MD, David S. Knopman, MD, Thomas H. Mosley, PhD, B. Gwen Windham, MD, MHS, Michael E. Griswold, PhD, Yonas E. Geda, MD, MSc, Val J. Lowe, MD, Clifford R. Jack, Jr., MD, Ronald C. Petersen, MD, PhD, Prashanthi Vemuri, PhD

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Temporal Synchrony in Bodily Interaction Enhances the Aha! Experience: Evidence for an Implicit Metacognitive Predictive Processing Mechanism by Jiajia Su, Haosheng Ye

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Damage Assessment of Low-Velocity Impacted Sandwich Composite Structures Using X-Ray Micro-Computed Tomography by Tendai Chipanga, Ouassini Nemraoui, Fareed Ismail

“…High-level impacts resulted in near or full perforations, with more pronounced delamination at the bottom interface, and fibre fractures in the impact zone, displaying a distinctive diamond-like damage pattern. These findings can be instrumental in developing a predictive impact damage model.…”
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Simulation of Spatial and Temporal Patterns of Suitable Wintering Habitat for Hooded Crane (<i>Grus monacha</i>) Under Climate and Land Use Change Scenarios by Zeng Jiang, Mingqin Shao, Jianying Wang

“…In order to clarify the trends in the current and future suitable wintering areas for hooded cranes (<i>Grus monacha</i>), the MaxEnt model was applied to predict the distribution patterns and trends of hooded cranes based on 94 occurrence records and 23 environmental variables during the wintering periods from 2015 to 2024. …”
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Optimizing HVAC energy efficiency in low-energy buildings: a comparative analysis of reinforcement learning control strategies under Tehran climate conditions by Mohammad Anvar Adibhesami, Amir Hassanzadeh

“…This indicates enhanced adaptability to consistent daily trends and irregular periodicities, such as weather patterns. The proposed reinforcement learning method achieved energy savings of 10–15 percent compared to both rule-based and model predictive control and approximately 10 percent improvement over rule-based control, while employing fewer building features than existing state-of-the-art control systems.…”
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Modeling student satisfaction in online learning using random forest by Jinlei Li, Xiaowei Chen

“…Partial dependence plots revealed threshold and saturation effects, highlighting complex nonlinear patterns missed by traditional linear models. However, performance declined in predicting low-satisfaction cases (AUC = 0.70), likely due to subgroup underrepresentation. …”
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A PSO-CNN-LSTM Model for Seismic Facies Analysis: Methodology and Applications by Luyao Liao, Huailai Zhou, Junping Liu, Jie Zhou, Donghang Zhang, Jian Wang

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The Space Conceptual Models and Water Vapor Characteristics of Typical Rainstorms during Plum Rain Season by Ying Tian, Rong Yao, Enrong Zhao, Qian Yao, Xiaolong Pan

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First-trimester triglyceride-glucose index and birth weight: a retrospective cohort mediation analysis of preterm birth and gestational complications by Jinhui Cui, Hui Jiang, Fei Huang, Mengjun Xie, Ziyi Cui, Xinyuan Chen, Liping OUYang, Ping Li, Yanling Wang

“…Abstract Background Insulin resistance during pregnancy, while physiologically adaptive to enhance fetal nutrient supply, becomes pathological when excessive, contributing to low birth weight (LBW). The triglyceride-glucose (TyG) index, a biomarker of insulin resistance, predicts gestational complications, but its pathways to birth weight disparities remain unclear. …”
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