Estimating shear strength of dredged soils for marine engineering: experimental investigation and machine learning modeling by Zheng Yao, Kaiwei Xu, Zejin Wang, Haodong Sun, Peng Cui, Peng Cui

“…The motivation behind this hybridization lies in the need to effectively capture nonlinear interactions and latent logical patterns among influencing factors, which are often overlooked by traditional single-algorithm models. …”
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Spatiotemporal Flood Hazard Classification in Bangkok Using Graph Convolutional Network and Temporal Fusion Transformer by Pakpoom Chaimook, Nirattaya Khamsemanan, Cholwich Nattee, Alice Sharp

“…Traditional flood prediction models often fail to capture spatial correlations across districts and the temporal patterns within different types of features. To address this problem, this study proposes a hybrid deep learning framework combining Graph Convolution Network (GCN) and the Temporal Fusion Transformer (TFT) for predicting flood hazard levels in 50 Bangkok districts. …”
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Adaptive Taylor Kolmogorov–Arnold Network for Hyperspectral Image Classification by Yichen Liu, Xin Zhang, Zitong Zhang, Hanlin Feng

“…It also employs the Taylor series instead of B-spline functions for activation functions, ensuring smooth approximations and enhancing the ability to model nonlinear patterns. In addition, ATKAN incorporates adaptive feature shifts along the spatial axis, channel grouping, and shuffling mechanisms to improve information processing efficiency and reduce computational consumption. …”
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Predicting hydrocarbon reservoir quality in deepwater sedimentary systems using sequential deep learning techniques by Xiao Hu, Jun Xie, Xiwei Li, Junzheng Han, Zhengquan Zhao, Hamzeh Ghorbani

“…The model enhances reservoir characterization by capturing complex lithological patterns, supporting better zonation and well placement. …”
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Shearography-Based Near-Surface Defect Detection in Composite Materials: A Spatiotemporal Object Detection Neural Network Trained Only with Simulated Data by Guanlin Li, Yao Hu, Hao Wang, Qun Hao, Yu Zhang

“…The network simultaneously learns both the spatial distribution features and temporal variation patterns of simulated phase map sequences, achieving high-accuracy detection of defects. …”
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Wi-Fi-Based Information Flow Topology for Effective Vehicle Platooning: Experimental Analysis and Implementation by R. S. Sandesh, Preeti Mohanty, Santhosh Krishnan Venkata

“…The field test averages at the same distances are 0.233 s, 0.673 s, and 0.783 s, indicating remarkable proximity and minimal error between the two datasets and thereby demonstrating practical suitability. The findings suggest that a distance of 10 m between vehicles is better for vehicle platooning applications on the basis of the observed latency patterns. …”
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Understanding Air Quality Changes after Implementation of Mitigation Measures during a Pandemic: A Scoping Review of Literature in the United States by Sara McElroy, Ambarish Vaidyanathan

“…Thus, mitigation strategies associated with the COVID-19 pandemic that modified population-level mobility patterns provide a unique opportunity to study air pollution change across the US. …”
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Research on encrypted malicious traffic detection in power information interaction: application of the electricity multi-granularity flow representation learning approach by Zhifu Wu, Xianfu Zhou, Xindai Lu, Liqiang Yang, Siqi Shen, Dong Yan

“…Current detection methods often struggle to capture both fine-grained semantic interactions during the TLS handshake and global temporal patterns in traffic behavior, particularly in domain-specific contexts like power systems. …”
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Numerical Modeling of Stress Disturbance Characteristics during Tunnel Excavation by Zeqi Zhu, Qian Sheng, Yumin Zhang, Shiwei Liu

“…The disturbance characteristics of different stages and the distribution patterns of various zones are analyzed, which may be useful for practical application in the design and construction of rock tunnels.…”
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Doppler effects in UAV‐to‐vehicle multipath channels under 6D mobility by Junwei Bao, Zhuangzhuang Cui, Yang Miao, Qiuming Zhu, Kai Mao, Boyu Hua

“…Based on geometry and multi‐dimensional mobility patterns, a geometry‐based stochastic model framework for U2V communication is studied. …”
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Research Progress and Prospects of Mechanized Planting Technology and Equipment for Wine Grapes by Xiang Li, Fazhan Yang, Baogang Li, Yuhuan Li, Ruijun Sun, Baoju Li

“…The study points out that the main problems faced by China in the mechanized production of wine grapes include a wide variety of equipment, complex winter cold protection procedures, diversified planting patterns, and inadequate technical standards. Future development directions should focus on the integration of advanced technologies with traditional equipment, the construction of a full mechanization technology system, the integration of intelligent and information technologies, and the development of multifunctional composite equipment. …”
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Sleep and modern life: a population-based study by Mihaela Oros, Franck Soyez, Adina-Diana Moldovan, Aliuș Ruxandra Oana, Bogdan Voicu, Florin Mihaltan

“…Abstract This paper examines sleep patterns in Romania, a country where long working hours and significant household responsibilities may impact rest. …”
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Metaverse-based education for sustainable development and improving the performance: Discussing the future research agenda by Rita Roy, G Appa Rao, Debajyoti Pal, Sesetti Anuradha, Subhodeep Mukherjee

“…Through bibliometric analysis, the study identifies five major thematic clusters that represent research trends, keyword co-occurrences, citation patterns, and top publications. On that basis, the study formulates a comprehensive agenda for future research that combines metaverse technologies with sustainable education and performance measures. …”
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Unraveling the nexus of drought stress and rice physiology: mechanisms, mitigation, and sustainable cultivation by Wen-fei Hu, Ye-bo Qin, Jun-jiang Lin, Ting-ting Chen, San-feng Li, Yu-tiao Chen, Jie Xiong, Guan-fu Fu

“…It delves deeply into the stress responses and energy metabolism patterns of rice induced by drought stress. Moreover, it systematically summarizes the establishment of drought tolerance evaluation systems and the screening methods for drought-tolerant rice varieties. …”
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Development Electronic Worksheet MPPj ETHNO-STEAM to Increase Numeracy Literacy and Conservation Character by Qorry Adilla Fikrina, Sudarmin Sudarmin, Rr Sri Endang Pujiastuti, Sigit Priatmoko, F Widhi Mahatmanti, Avia Rizka Ulfana, Nur Kholis

“…The research results show (1) the characteristics of e-LKPD, (2) the product is suitable for use based on the results of feasibility tests by material experts and media experts, (3) the product is declared practical based on the results of the practicality questionnaire analysis by teachers and students, (4) the product is effectively used to develop numeracy literacy with indicators of estimating and calculating, using fractions, recognizing and using patterns, using spatial reasoning, using measurements, interpreting statistical information analyzed based on N-gain results, effectively developing conservation character based on the results of analysis of observation sheets with conservation indicators, namely caring, creativity, love of the country, responsibility, caring for the environment, using wisely and effectively in MPPj ethno-STEAM based on the results of the analysis of the project assessment sheet.…”
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Impact of intermittent fasting on physical activity: a national survey of Chinese residents aged 18–80 years by Feiying He, Shiyu Bai, Xiangchun Xu, Jingqiao Miao, Hongwen Yu, Jiale Qiu, Yibo Wu, Yangdong Fan, Lei Shi

“…Propensity score matching (PSM) was applied to compare PA levels between individuals practicing IF and those not practicing it. Multiple logistic regression and subgroup analysis were performed to explore associations between PA levels and relevant factors.ResultsIF was practiced by 9.78% of participants, with the highest prevalence (70.78%) among those aged 18–34. …”
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The Fluorescent Sensing of BF₃ and Amines: A Dual Approach with Hydrazone Ligands by Haichao Ye, Liqin Liu, Dagang Shen, Chang Song, Huanhuan Wang

“…The BFH sensor array successfully differentiates histamine from the other typical non-volatile BAs in solution; in comparison, the VOAs are analyzed through recognition patterns and statistical analysis. The array’s color changes enable the practical, on-site detection of shrimp spoilage, with principal component analysis distinguishing various ageing intervals. …”
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Nonlinear energy consumption analysis of shallow-buried bias tunnel stability with improvement of failure mode by Wei Luo, Shirui Liu, Zhi Tao, Haifeng Wang, Xun Gan

“…The research findings provide crucial guidance for ensuring safe construction practices in shallow-buried tunnels.…”
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High resistance fault detection in DC microgrid using Hilbert Huang transform and vector-based ensemble optimized LSTM networks by H. K. Prashanth Kumar, Ritesh Dash, K. Jyotheeswara Reddy, Nageswara Rao Atyam, Bhabasis Mohapatra

“…The proposed LSTM-HHT approach leverages LSTM’s ability to capture long-term dependencies and time-series patterns, along with HHT’s proficiency in analysing non-linear and non-stationary signals. …”
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Prevalence, Antibiotic Susceptibility, and Molecular Typing of Staphylococcus aureus and Methicillin-resistant S. aureus (MRSA) among Domestic Animals in Dharan, Nepal by Rubina Katuwal, Manita Shyaula, Bigyan Shrestha, Saroj Babu Koirala, Hemanta Khanal

“…This study investigates the prevalence and antibiotic susceptibility patterns of S. aureus and Methicillin-resistant S. aureus (MRSA) among domestic animals in Dharan, Nepal. …”
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