The Robust Detection and Spatial Distribution of Acetaldehyde in Orion KL: Atacama Large Millimeter/submillimeter Array Observations and Chemical Modeling by Miwha Jin, Anthony J. Remijan, Robin T. Garrod, Giseon Baek, Martin Cordiner, Steven Charnley, Eric Herbst, Jeong-Eun Lee

“…Despite the organic molecule inventory detected in the Orion Kleinmann–Low Nebula (Orion KL), acetaldehyde (CH _3 CHO)—one of the most ubiquitous interstellar aldehydes—has not been firmly identified with millimeter-wave interferometry. …”
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Identifying Critical Risks in Low-Carbon Innovation Network Ecosystem: Interdependent Structure and Propagation Dynamics by Ruguo Fan, Yang Qi, Yitong Wang, Rongkai Chen

“…This study investigates vulnerability patterns by constructing a two-layer interdependent network model based on Chinese low-carbon patent data, comprising a low-carbon collaboration network of innovation entities and a low-carbon knowledge network of technological components. …”
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Dynamic Photometric Variability in Three Young Brown Dwarfs in Taurus: Detection of Optical Flares with TESS Data by Samrat Ghosh, Soumen Mondal, Somnath Dutta, Rajib Kumbhakar, Ramkrishna Das, Santosh Joshi, Sneh Lata

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GA-SVM method for single-phase grounding fault line selection in distribution network based on feature fusion by ZHANG Xiaopeng, BAI Jie, SUN Naijun, LI Jie, ZHENG Shuai, WAN Qingzhu

“…Aiming at the low accuracy of line selection method when the data amount of single-phase grounding fault in distribution network is small, a genetic algorithm optimized support vector machine (GA-SVM) method for single-phase grounding fault line selection in distribution network based on feature fusion is proposed, which adopts Fourier transform, the active power method and wavelet packet transform decompose the transient zero-sequence current of each line under different fault conditions, extracts four features, including fundamental wave amplitude, fifth harmonic amplitude, average active power component and wavelet energy value. …”
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Application of Social Cognitive Theory in Modeling Farmers' Behavior to Encourage Them to Choose Low-Water-Demand Cropping Patterns by Amirreza Nasiri, Mahdi Mashhadi, Seyyed Ahmadreza Shahangian, Reza Kerachian

“…Additionally, for data analysis, a structural equation modeling approach using partial least squares was employed through SmartPLS software. …”
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Investigation of the spatial distribution of tunnel seepage under varying drainage capacities in water-abundant regions by Qing Xu, Pengfei Li, Chongbang Xu, Siqing Wang, Sulei Zhang

“…The Tongzi Tunnel was subjected to model tests using a self-developed testing apparatus to investigate the spatial distribution of tunnel seepage under varying conditions of sand permeability, number of primary support layers, and number of primary support openings. …”
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Mathematical model of on-demand route formation for public transport based on individual passenger requests in low-density population area by Svetlana S. Titova, Andrey V. Ostroukh

“…Practical testing of the model was conducted using data from a specific region with low population density, enabling the collection of reliable results and drawing conclusions about the effectiveness of the proposed approach to organizing transport services. …”
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Modeling pine forest growing stock volume in subtropical regions of China using airborne Lidar data by Zige Lan, Xiandie Jiang, Guiying Li, Yagang Lu, Hongwen Yao, Dengsheng Lu

“…This research employed airborne Lidar data and sample plots from 11 typical sites across the northern, central, and southern subtropical regions of China to explore modeling approaches for pine forest GSV estimation. …”
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Extraction of the upright maize straw by integrating UAV multispectral and DSM data by Aosheng Chao, Enguang Xing, Yunbing Gao, Cunjun Li, Yuan Qin, Chengyang Zhu, Yu Liu, Qingwei Zhu

“…This study proposes a novel index for extracting upright maize straw by integrating low-cost unmanned aerial vehicle (UAV) visible to near-infrared spectral bands with digital surface model (DSM) data. …”
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Value mining and application of big data in enterprise power credit investigation by Baojiang XIN, Dewen LI, Lanlan WANG

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Urban Recreational Space Heat-Emotion Distribution and Matching Pattern Based on Machine Learning: A Case Study of Guangzhou City by Wang Fuyuan, Zhang Zhiyu, Xie Yuanjing, Yang Xinyi, Sun Miao

“…Moreover, recreational spaces situated along waterfronts and in areas with dense road networks tend to follow a "point-axis" distribution model, with a staggering 90.45% of these spaces located within a 1 km radius of the road network. (2) The overall approval rate of urban recreational spaces in Guangzhou is significantly high, evidenced by an average positive emotion ratio of 86.99%. …”
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Conversion to Variable Flow Rate—Advanced Control of a District Heating (DH) System with a Focus on Operational Data by Stanislav Chicherin

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Global Ionospheric Scintillation Estimation Based on Phase Screen Modeling From One‐Dimensional Satellite Data by Yuhao Zheng, Chao Xiong, Luca Spogli, Rayan Iman, Lucilla Alfonsi

“…Scintillation from our model shows typical seasonal variations, with peaks during equinoxes at both high and low magnetic latitudes. …”
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The Impact of Interval Choice in Grouped Frequency Tables on Statistical Modelling by Adam Čabla

“…The results show that large sample sizes enable accurate estimates even with low detailed censoring, provided the model aligns with the data-generating process. …”
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Estimation of Extreme Cable Forces of Cable-Stayed Bridges Based on Monitoring Data and Random Vehicle Models by Yuan Ren, Zhiyuan Zhu, Ziyuan Fan, Qiao Huang

“…Then, a Monte Carlo-based random vehicle model was developed using traffic data from the weighing system. …”
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Predicting the Potential Geographical Distribution of <i>Scolytus scolytus</i> in China Using a Biomod2-Based Ensemble Model by Wei Yu, Dongrui Sun, Jiayi Ma, Xinyuan Gao, Yu Fang, Huidong Pan, Huiru Wang, Juan Shi

“…<i>Scolytus scolytus</i> is a key vector of this disease. In this study, distribution data of <i>S. scolytus</i> were collected and filtered. …”
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Last Mile Urban Freight Distribution: A Modelling Framework to Estimate E-Cargo Bike Freight Attraction Demand Share by Luca Mantecchini, Francesco Paolo Nanni Costa, Valentina Rizzello

“…Among these strategies, cargo bikes—particularly electric cargo bikes (e-cargo bikes)—are emerging as promising low-emission solutions for urban freight distribution. …”
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Association Between Diurnal Temperature Range and Risk of Cardiomyopathy-Induced Hospitalisation in Henan, China: A Time-Series Study by Zhang Z, Wang Y, Zhou Y, Pei J, Zhao G, Dong P, Yang K, Liu H, Xie N, Li X, Zang X, Lin F, Chen Z

“…AF and AN of low DTR on CM admissions were 51% and 2,936, respectively.Conclusion: Our results revealed a significant association between DTR and CM hospitalisations, providing valuable insights for the development targeted prevention and control measures.Keywords: cardiomyopathy, diurnal temperature range, distributed lag non-linear model, time-series…”
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Climate-Driven Invasion Risks of Japanese Beetle (<i>Popillia japonica</i> Newman) in Europe Predicted Through Species Distribution Modelling by Giuseppe Pulighe, Flavio Lupia, Valentina Manente

“…Using the MaxEnt species distribution model, we integrated beetle occurrence data with bioclimatic variables, analyzing current and future climate scenarios based on Shared Socio-economic Pathways (SSP1-2.6, SSP2-4.5, SSP5-8.5) for near-term (2021–2040) and mid-term (2041–2060) periods. …”
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An Adaptive Learning Time Series Forecasting Model Based on Decoder Framework by Jianlong Hao, Qiwei Sun

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