Latent profiles of youth social support: a study on variations and their impact on self-esteem by Jingxian Yu, Yuqin Guo, Yongqi Liang, Huan Peng, Na Li, Weisheng Gu, Hanjiao Liu

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A Study on the Variations in Chinese Character Libraries: A Case Study of Song Typeface by Fushi Chen, Xingzhou Han, Xingyu Duan, Yang Yang

“…Results: Leveraging Python-based tools, we replaced the traditional printing process with digital image rendering to conduct our analyses, employing both traditional overlay comparison methods and image differentiation techniques. Furthermore, we introduced an innovative metric to quantify character variation. …”
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Variations in the concentration of subsoil gases and the atmospheric electric field prior to some earthquakes in Kamchatka by @Makarov, Evgenii O., Akbashev, Rinat R., Glukhov, Vitalii E.

“…A conclusion was made about the necessity of integrating various methods of recording geophysical fields, including direct measurements of crustal deformation, for the successful advancement of approaches to earthquake forecasting…”
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Spectral Quadratic Variation Regularized Autoweighted Tensor Ring Decomposition for Hyperspectral Image Reconstruction by Xinwei Wan, Dan Li, Fanqiang Kong, Yanyan Lv, Qiang Wang

“…The effectiveness of model-based reconstruction methods can be promoted. In this article, a subspace-based model utilizing spectral quadratic variation regularized autoweighted tensor ring (TR) decomposition is proposed to explore the multiple-layer spatial–spectral priors of HSI. …”
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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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Enhanced Seismic Imaging of Complex Geological Structures Using Model-Constrained Kirchhoff Pre-Stack Depth Migration: Numerical Validation and Field Application by Lei Wang, Shengjian Wang, Lei Zhang, Xianhua Hou

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Warped matrix-variate Gaussian processes with structured kernels for multi-step-ahead driving behaviour prediction by Seiya Takano, Tomohiko Jimbo

“…Finally, we evaluated the performance of the proposed method using real data from 100 vehicles over up to nine months.…”
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Risk assessment of building and infrastructure using InSAR-derived deformation gradients and pattern variations in the Beijing plain, China by Shicheng Zuo, Mingsheng Liao, Jie Dong, Ru Wang, Shaokun Guo, Feikai Lin, Nan Wang, Dongxiao Zhang

“…Previous studies analyzed deformation risks using Interferometric Synthetic Aperture Radar (InSAR) but often lacked integration of temporal pattern variations or multi-source datasets. …”
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Measuring and estimation of suspended sediment variation using sediment rating curve approach in Mereg River by Sohila Aghabeigi Amin, Heidar Mirzaei

“…Sampling was taken in 2 hours interval and suspended sediment concentration was obtained in the laboratory by filtration method. Estimation of temporal variation of suspended sediment during storm was carried out using sediment rating curves. …”
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Classifying IoT Botnet Attacks With Kolmogorov-Arnold Networks: A Comparative Analysis of Architectural Variations by Phuc Hao do, Tran Duc Le, Truong Duy Dinh, van Dai Pham

“…The rapid expansion of devices on the Internet of Things (IoTs) has led to a significant rise in IoT botnet attacks, creating an urgent need for advanced detection and classification methods. This study aims to evaluate the effectiveness of Kolmogorov-Arnold Networks (KANs) and their architectural variations in classifying IoT botnet attacks, comparing their performance with traditional machine learning and deep learning models. …”
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Multi-Task Trajectory Prediction Using a Vehicle-Lane Disentangled Conditional Variational Autoencoder by Haoyang Chen, Na Li, Hangguan Shan, Eryun Liu, Zhiyu Xiang

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VJDNet: A Simple Variational Joint Discrimination Network for Cross-Image Hyperspectral Anomaly Detection by Shiqi Wu, Xiangrong Zhang, Guanchun Wang, Puhua Chen, Jing Gu, Xina Cheng, Licheng Jiao

“…In this paper, a simple and lightweight unsupervised cross-image HAD method called Variational Joint Discrimination Network (VJDNet) is proposed. …”
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Model-Based Variation-Aware Optimization for Offset Calibration and Pre-Sensing in DRAM Sense Amplifiers by Dongyeong Kim, Geon Kim, Suyeon Kim, Jewon Park, Sinwook Kim, Hyeona Seo, Chaehyuk Lim, Sowon Kim, Juwon Lee, Jeonghyeon Yun, Hyerin Lee, Jinseok Park, Yongbok Lee, Seungchan Lee, Myoungjin Lee

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Neighborhood Variation in Rate of Revascularization among Acute Myocardial Infarction Patients in New York City by Abdissa Negassa, Jing Fang

“…To identify modifiable neighborhood factors and quantify their effect on the rate of revascularization among acute myocardial infarction (AMI) patients. Method. Using the New York City hospital discharge records during 1998–2002, we employed a hierarchical regression model that integrates patient-level risk factors and neighborhood-level factors to retrospectively examine revascularization patterns among AMI patients. …”
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An Echo State Network Approach for Parameter Variation Robustness Enhancement in FCS-MPC for PMSM Drives by Xiao Zeng, Jing Li, Pengcheng Yang, Hongda Cai, Yongzhi Zhou, Daren Li

“…Plenty of simulation studies are available and demonstrate that the proposed ESN-MPC controller exhibits enhanced robustness against parameter mismatch compared to the traditional FCS-MPC method.…”
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Ocean Surface Wind Field Retrieval Simultaneously Using SAR Backscatter and Doppler Shift Measurements by Yulei Xu, Kangyu Zhang, Liwei Jing, Biao Zhang, Shengren Fan, He Fang

“…Sea surface wind retrieval methods using synthetic aperture radar (SAR) are generally classified into two categories: the direct inversion method and the variational analysis method (VAM). …”
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The Role of MDCT Coronary Angiography in the Detection of Benign Varieties and Anomalies of Coronary Blood Vessels—A Narrative Review by Ana Mladenovic Markovic, Ana Tomic, Miodrag Nisevic, Biljana Parapid, Nikola Boskovic, Marina Vitas, Miona Jevtovic, Sandra Grujicic

“…Our objective was to provide a comprehensive, albeit non-exhaustive, overview of essential concepts and findings related to their definition, classification, and detection with MDCT angiography. By integrating current knowledge in MDCT imaging, we seek to contribute to a better understanding of the clinical implications of coronary artery variations and their role in cardiovascular health.…”
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Cotton transposon-related variome reveals roles of transposon-related variations in modern cotton cultivation by Shang Liu, Hailiang Cheng, Youping Zhang, Man He, Dongyun Zuo, Qiaolian Wang, Limin Lv, Zhongxv Lin, Ji Liu, Guoli Song

“…Methods: We utilized graphical genome construction to build up the graphical transposon-related variome. …”
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Prediction for Coastal Wind Speed Based on Improved Variational Mode Decomposition and Recurrent Neural Network by Muyuan Du, Zhimeng Zhang, Chunning Ji

“…This study proposes a systematic framework, termed VMD-RUN-Seq2Seq-Attention, for noise reduction, outlier detection, and wind speed prediction by integrating Variational Mode Decomposition (VMD), the Runge–Kutta optimization algorithm (RUN), and a Sequence-to-Sequence model with an Attention mechanism (Seq2Seq-Attention). …”
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Esketamine modulates cerebral function variations between S1 and BLA in rats with chronic pain and anxiety by Yuanyuan Fang, Xiaokai Sui, Danhao Zheng, Jiahui Sun, Ting Chen, Junke Jia, Jing Yao, Jie Wang, Chang Chen, Zongze Zhang

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