Daily Runoff Prediction Model Based on Multivariate Variational Mode Decomposition and Correlation Reconstruction by DING Jie, TU Peng-fei, FENG Yu, ZENG Huai-en

“…The original data included daily runoff from January 2005 to December 2012. [Methods] This study first employed Multivariate Variational Mode Decomposition(MVMD) to decompose the original daily runoff data from the two stations, reducing data complexity. …”
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Achieving excellent mechanical properties in CoNiCrMo multi-principal element alloys: A comprehensive approach integrating mean square atomic displacement and machine learning meth... by Yang Long, Wei Fang, Haoyang Yu, Tiexu Peng, Cong Li, Weiguang Liu, Chang Liu, Qinghe Jia, Yushui Chen, Jia Li, Fuxing Yin

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Single Underwater Image Restoration Using Variational Framework Guided by Imaging Model With Noise by Chenggang Dai, Mingxing Lin

“…To address these corruptions, a novel method is proposed to reconstruct high-quality underwater images, which is designed by integrating imaging model with noise and variational framework. …”
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Harnessing dual variational autoencoders to decode microbe roles in diseases for traditional medicine discovery by Qing Ye, Yaxin Sun, Yaxin Sun, Yaxin Sun

“…This method innovatively integrates double variational autoencoders and multi-information fusion techniques. …”
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Warped matrix-variate Gaussian processes with structured kernels for multi-step-ahead driving behaviour prediction by Seiya Takano, Tomohiko Jimbo

“…The increased integration of renewable energy, which is known to fluctuate owing to weather conditions, has necessitated power supply-demand adjustments using virtual power plants (VPPs) that utilize vehicle batteries. …”
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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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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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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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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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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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Regional variations and determinants of pesticide use among farmers in Southwestern Nigeria: implications for sustainable agriculture by Abdullahi Adeola, Abdullahi Adeola, Cornelis A. M. van Gestel, Victoria Funmilayo Doherty, Idowu Ayisat Aneyo, Folashade Ajagbe, Faizo Kasule, Faizo Kasule

“…Pesticides are integral to the agricultural practices of Southwestern Nigeria, yet their varied usage patterns and the factors influencing their adoption remain poorly understood. …”
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Multi-omics joint analysis reveals the mechanism of flower color and fragrance variation in Lilium cernuum by Shaopeng Chen, Zhiqun Chen, Qianqian Zhuang, Hewen Chen

“…While its white variant (L. cernuum var. album) exhibits distinct flower color and fragrance traits, the molecular mechanisms underlying these variations remain poorly understood. Previous studies attributed the low anthocyanin content in the white variant to LcMYB12 downregulation, yet comprehensive analyses of associated genes and metabolic pathways are lacking.MethodsThis study employed integrated transcriptomics, metabolomics, and volatile metabolomics to systematically compare L. cernuum and its white variant. …”
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Development and correctness analysis of the mathematical model of transport and suspension sedimentation depending on bottom relief variation by A. I. Sukhinov, V. V. Sidoryakina

“…The model considers the following processes: advective transfer caused by the aquatic medium motion, micro-turbulent diffusion, and gravity sedimentation of suspended particles, as well as the bottom geometry variation caused by the particle settling or bottom sediment rising. …”
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Understanding variation in unplanned admissions of people aged 85 and over: a systems-based approach by Andrew Wilson, Richard Baker, John Bankart, Ran Bhamra, Stoyan Kurtev, Kay Phelps, Emma Regen, Stephen Rogers, Justin Waring

“…Aim To examine system characteristics associated with variations in unplanned admission rates in those aged 85+.Design Mixed methods.Setting Primary care trusts in England were ranked according to changes in admission rates for people aged 85+ between 2007 and 2009, and study sites selected from each end of the distribution: three ‘improving’ sites where rates had declined by more than 4% and three ‘deteriorating’ sites where rates had increased by more than 20%. …”
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Intraspecific morphological variation and environmental drivers in Macleania rupestris: a model-based population classification by Denisse F. Peña, Paulina Villena, Diana Curillo, Carlos A. Jiménez, Eduardo Ordoñez, Oswaldo Jadán

“…This study offers a novel framework for trait-based classification and emphasizes the importance of integrating morphological variation and environmental factors into conservation planning. …”
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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

“…Objectives: In this study, we aimed to construct transposon-related variome within Gossypium genus and reveal role of transposon-related variations during cotton cultivation. In addition, we try to identify valuable transposon-related variations for cotton breeding. …”
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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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Spatial and Temporal Variation Characteristics of Air Pollutants in Coastal Areas of China: From Satellite Perspective by Xinrong Yan, Juanle Wang, Fang Wu, Jing Bai, Xun Zhang, Guiping Li, Haibo Fei

“…However, the absence of comprehensive macro-evaluation methods and a limited understanding of regional-scale pollutant emissions introduce substantial uncertainties in assessing emission reduction effectiveness and identifying pollution sources. …”
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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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