Displacement Patterns and Predictive Modeling of Slopes in the Bayan Obo Open-Pit Iron Mine by Penghai Zhang, Yang Li, Xin Dong, Tianhong Yang, Honglei Liu

“…To address the limitations of traditional early warning methods in open-pit slope displacement monitoring—particularly their neglect of spatiotemporal correlations and their difficulty in analyzing multi-scale non-stationary sequences—this study proposes an early warning framework that integrates spatiotemporal clustering with multi-scale decomposition. …”
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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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Aviation Fuel Pump Fault Diagnosis Based on Conditional Variational Self-Encoder Adaptive Synthetic Less Data Enhancement by Tiejun Liu, Yaoping Zhang, Xiaojing Yin, Weidong He

“…To address this challenge, this paper proposes a fault diagnosis method for aircraft fuel pumps based on adaptive synthetic data augmentation using a Conditional Variational Autoencoder (CVAE). …”
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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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SincVAE: A new semi-supervised approach to improve anomaly detection on EEG data using SincNet and variational autoencoder by Andrea Pollastro, Francesco Isgrò, Roberto Prevete

“…This work introduces a semi-supervised approach for detecting epileptic seizures from electroencephalography data based on a novel deep learning-based method called SincVAE. This method integrates SincNet, designed to learn an ad-hoc array of bandpass filters, as the first layer of a variational autoencoder, potentially eliminating the preprocessing stage where informative frequency bands are identified and isolated. …”
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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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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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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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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

“…To address above issue, this article proposes a modified parameter robust FCS-MPC framework that integrates an online learning echo state network (ESN) for real-time compensation of parameter deviations. …”
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Nonuniformity Correction for Variable-Integration-Time Infrared Camera by Nan Chen, Jiqing Zhang, Shengyou Zhong, Zhongshun Ji, Libin Yao

“…In experiments with cooled infrared camera, the proposed method provides enhanced uniformity even for seven-time variation of integration time using same correction coefficients. …”
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A densely connected framework for cancer subtype classification by Yu Li, Denggao Zheng, Kaijie Sun, Chi Qin, Yuchen Duan, Qingqing Zhou, Yunxia Yin, Hongxing Kan, Jili Hu

“…Abstract Background Reliable identification of cancer subtypes is crucial for devising personalized treatment strategies. Integrating multi-omics data has proven to be an effective method for analyzing cancer subtypes. …”
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Mathematical approach for rapid determination of pull-in displacement in MEMS devices by Yongcun Shao, Yutong Cui

“…A critical challenge in MEMS devices is accurately determining the pull-in displacement and voltage, which significantly impacts device performance. Existing methods, including the variational iteration method and homotopy perturbation method, often fall short in providing precise estimations of these parameters.MethodsThis study introduces a novel mathematical approach that combines physical insights into the pull-in phenomenon with variational theory. …”
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