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

“…[Methods] Terraces were selected for three land use types, i.e. farmland, orchard, and grassland, with slope designated as the control. …”
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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 efficient graph attention framework enhances bladder cancer prediction by Taghreed S. Ibrahim, M. S. Saraya, Ahmed I. Saleh, Asmaa H. Rabie

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Agronomic efficiency of partially acidulated and granulated Arraias phosphate rock by Vinicius de Melo Benites, Sulian Junkes Dal Molin, Cassio Sitta, Ernesto Sitta Neto, Carla Nascimento, Jéssica Franciele Kaminski Ramos, Philip A. Moore Jr.

“…For the second experiment, treatments were 15 % PAPR granulated to average sizes of 0.25, 0.75, 1.50, and 2.4 mm. The agronomic efficiency of all variations of the PR was lower than the TSP. …”
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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 temperature datasets are analyzed up to the level 500 hPa. Monte Carlo method of correlation and Bootstrapping method of confidence interval are used to analyze the relation of GPCP with MSLP and temperature at all defined levels. …”
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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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Cost Efficiency and Effectiveness of Drone Applications in Bridge Condition Monitoring by Taraneh Askarzadeh, Raj Bridgelall

“…Bridges are an integral and important part of road networks, but monitoring their condition using traditional methods is expensive, dangerous, and laborious. This study examines the rapidly emerging field of drone-based transportation asset monitoring, focusing on analyzing the cost efficiency and effectiveness of drone applications in bridge condition monitoring. …”
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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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Transformative innovations igniting coffee supply chain process efficiency by Maya Irjayanti, Anton Mulyono Azis, Susilawati, Andika Rizki Sobari

“…This study employs a quantitative descriptive research approach, which is based on operational methods. The study presents the analysis in terms of production line efficiency, aiming to enhance the performance and competitiveness of Indonesian coffee providers. …”
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Increasing the drying unit energy efficiency through with thermoelectric modules by D. A. Tikhomirov, A. V. Khimenko, A. V. Kuzmichev

“…(Research purpose) The purpose of this study is to conduct laboratory experiments on the drying process of apples focusing on evaluating the energy consumption required to evaporate 1 kilogram of moisture using a newly developed convective thermoelectric drying unit and compare its energy efficiency with mass-produced convective dryers. (Materials and methods) The findings from theoretical and experimental studies facilitated the development of a functional diagram and a laboratory prototype of a convective thermoelectric dryer using a thermoelectric heat pump. …”
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Increasing Solar cell Efficiency using Quantum Dot Sensitization by Parashar Komal, Bobba Phaneendra babu, Samyuktha Penta, Fallah Mohammed Hussein, Chauhan Sanjay Singh, Verma Vikas, Rathour Abhinav, Gupta Manish

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Efficient Gabor Phase Based Illumination Invariant for Face Recognition by Chunnian Fan, Shuiping Wang, Hao Zhang

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