The Long-term Variations and Influencing Factors of Soil Saturated Hydraulic Conductivity in Terraces on the Loess Plateau by PENG Xin, NI Lingshan, JI Keyan, DAI Wei, WANG Zhuoxiao, CHANG Heng, FANG Nufang

“…[Objective] The long-term variations of soil saturated hydraulic conductivity (Ks) and its primary controlling factors in terraces on the Loess Plateau were explored. …”
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Impacts of high viscosity variation and internal heating on mantle convection in different aspect ratio cells by Tania S. Khaleque, Md. Shafiul A. Khan, Romana Yesmin

“…The primary goal of this research is to analyze the convection pattern at high Rayleigh number, including internal heating and significant viscosity variation across the mantle depth. Finite element method-based PDE solver is used to solve the model, incorporating viscosity based on both temperature only and temperature and pressure combined. …”
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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

“…By leveraging the structural simplicity and application efficiency of ESNs during training, the proposed approach is well-suited to tackling complex parameter variation challenges via online learning. …”
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Haematological profile and genetic variation of brown Caucasian dairy cattle in different ecological and geographical zones by A. A. Ozdemirov, L. N. Chizhova, A. A. Khozhokov, E. S. Surzhikova, A. K. Mikhaylenko

“…Since hematopoietic function of blood is the basis of organism’s vital functions and genetic polymorphism is the measure of its adaptability, the present study is aimed at examining haematological profile and the degree of genetic variation in the Brown Caucasian cattle.Materials and Methods. …”
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Seasonal variation and key factors influencing evapotranspiration partitioning in alpine ecosystems of the Qinghai Lake Basin by Wenyang Cao, Yao Wu, Jiayin Liu, Yuan Yuan, Cicheng Zhang, Shaojie Zhao, Pei Wang

“…The model’s effectiveness was validated by its consistency with observed energy fluxes, ground surface temperature, and the transpiration fraction of evapotranspiration (T/ET) derived from isotope methods, the underlying water use efficiency (uWUE) approach, and remote sensing data. …”
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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

“…Accurate and comprehensive wind speed forecasting is crucial for improving efficiency in offshore wind power operation systems in coastal regions. …”
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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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An Improved Short-Term Electricity Load Forecasting Method: The VMD–KPCA–xLSTM–Informer Model by Jiawen You, Huafeng Cai, Dadian Shi, Liwei Guo

“…This paper proposes a hybrid forecasting method (VMD–KPCA–xLSTM–Informer) based on variational-mode decomposition (VMD), kernel principal component analysis (KPCA), extended long short-term memory network (xLSTM), and the Informer model. …”
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Orbital Decay of the Ultra-hot Jupiter TOI-2109b: Tidal Constraints and Transit-timing Analysis by Jaime A. Alvarado-Montes, Mario Sucerquia, Jorge I. Zuluaga, Christian Schwab

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Extraction, Dynamics, and Driving Factors of Shallow Water Area in Hongze Lake Based on Landsat Imagery by Nianao Liu, Jinhui Huang, Dandan Xu, Ni Na, Zhaoqing Luan

“…The results show that (1) the method of this study is efficient in extracting the natural shallow water area with limited effects from aquatic vegetation; (2) water inflow (upstream water supply and precipitation) and the area of aquatic farms, the two dominant factors for the temporal changes in natural shallow water area, contributed 38.3% (positively) and 42.2% (negatively) to the decrease in the natural shallow water area during 2013–2022 in Hongze Lake; (3) the natural shallow water area of Hongze Lake decreased significantly every April as paddy rice farms withdrew a large amount of irrigation water from Hongze Lake. …”
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Recent Changes and Variation in Precipitation over Asia-Pacific Region in relation to Long-Term Temperature and MSLP by Gargi Akhoury, Kirti Avishek, Moushumi Hazra

“…The paper focuses on the climatology of air temperature and MSLP with the variation pattern in precipitation over the Asia-Pacific region. …”
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A new exponentially directional weighted function based CT image denoising using total variation by Manoj Kumar, Manoj Diwakar

“…Therefore, we propose a method based on the modification of total variation (TV) for noise suppression in CT images which is helpful to preserve the clinically relevant details. …”
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A Frequency-Shifting Variational Mode Decomposition-Based Approach to MI-EEG Signal Classification for BCIs by Haiqin Xu, Shahzada Ali Hassan, Waseem Haider, Youchao Sun, Xiaojun Yu

“…This study proposes a novel solution through the frequency-shifting variational mode decomposition (FS-VMD) method, which overcomes the limitations of traditional SD techniques by providing better resolution of intrinsic mode functions (IMFs). …”
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VTformer: a novel multiscale linear transformer forecaster with variate-temporal dependency for multivariate time series by Rui Dai, Zheng Wang, Jing Jie, Wanliang Wang, Qianlin Ye

“…Moreover, a novel adaptive fusion method is designed to propagate complementary information from the perspective of variate and temporal to promote prediction. …”
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Deformable detection transformers for domain adaptable ultrasound localization microscopy with robustness to point spread function variations by Sepideh K. Gharamaleki, Brandon Helfield, Hassan Rivaz

“…We further refine the super-resolution map by employing a KDTree algorithm for efficient MB tracking across consecutive frames. We evaluated our method using both simulated and in vivo data, demonstrating improved precision and recall compared to current state-of-the-art methodologies. …”
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Approximate methods for solving local fractional integral equations by Hassan Kamil Jassim

“…This paper presents new analytical approximate methods such as local fractional variational iteration method and local fractional decomposition method for a family of the linear and nonlinear integral equations of the second kind within local fractional derivative operators. …”
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Predicting the impact of graphene oxide and its shapes on the thermal efficiency of Polyalphaolefin-40 using a mathematical model for wind turbine gearboxes by Aamina Ahsan, Amir Zanj, Ahsan Zafar, Najam Iqbal, Adeena Fatima, Wajid Khan, Muhammad Zain Yousaf, Baseem Khan, Josep M. Guerrero

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Compressed Sensing of Vibration Signal for Fault Diagnosis of Bearings, Gears, and Propellers Under Speed Variation Conditions by Yuki Kato, Masayoshi Otaka

“…This represents a novel approach for efficiently capturing the essential features of vibration signals under rotational speed variations. …”
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Capabilities for Probing of Upper Atmosphere Density Variations and Seismic-Orbital Effects Using Small-Size Spacecraft by A. V. Tertyshnikov

“…The "falling spheres method" is used to probe variations in the density of the upper atmosphere.A technical solution for diagnostics of orbital sections with abnormal changes in the speed and acceleration of  spacecraft  equipped  with  onboard  navigation  receivers  and  micro-accelerometers is considered.The technical result of the proposed development is the efficiency and cost – effectiveness of sounding variations in the density of the upper atmosphere, seismic-orbital effects-variations in the density of the atmosphere over earthquake-regions and the seismic hazard.…”
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