IoTDQ: An Industrial IoT Data Analysis Library for Apache IoTDB by Pengyu Chen, Wendi He, Wenxuan Ma, Xiangdong Huang, Chen Wang

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Enhanced Output Performance of Two-Level Voltage Source Inverters Using Simplified Model Predictive Control with Multi-Virtual-Voltage Vectors by Hyeongyo Chae, Chan Roh

“…Through simulation and experiments, improved output current THD and current error were observed under various load conditions. …”
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Prediction of Red Mud Bound-Soda Losses in Bayer Process Using Neural Networks by M. Mahmoudian, A. Ghaemi, H. Hashemabadi

“…In the Bayer process, the reaction of silica in bauxite with caustic soda causes the loss of great amount of NaOH. In this research, the bound-soda losses in Bayer process solid residue (red mud) are predicted using intelligent techniques. …”
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Mathematical modeling and statistical analysis of breast cancer drugs using M-polynomial indices for the physical properties by Qasem M. Tawhari, Muhammad Naeem, Saba Maqbool, Abdul Rauf, Oladele Oyelakin

“…A Python code is developed based on an adjacency matrix to efficiently compute the indices that reduce calculation time from days to minutes and eliminate human error. Quantitative structure-property relationships are established using Multiple Linear, Ridge, Lasso, ElasticNet and Support Vector Regression in Python software to predict breast cancer drugs’ physical properties. …”
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Lower-Bound Solution of Foundation-Bearing Capacity under Circular Uniformly Distributed Load by Fang Wei, Wang Jiao, Zhang Wan-dongxing, Shi Li-jun

“…The influence of the amount of stress columns and soil shear strength parameters on the lower-bound solution of the foundation-bearing capacity is analyzed. The research showed that (1) when the number of stress columns is more than 9 (n > 4) and the friction angle is less than 30°, the relative error between the lower-bound solution of the bearing capacity and exact solution is less than 6.6%, (2) the suggested analytical solution is applicable for common clayey materials; thus, the application scope of the analytical lower-bound solution is further expanded, and (3) the influence of cohesion on bearing capacity is linear. …”
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Statistical damage constitutive model of soft rock based on Improved Hoek-Brown strength criterion by Zhenhua Wang, Zecheng Wang, Xin Chen, Gang Wang, Dongwei Li

“…An improved Hoek-Brown strength criterion has been proposed to characterize the critical confining pressure effect of soft rock, with tensile strength in the tensile zone aligning with experimental results, showing an error of less than 5%. By assuming that the micro-unit strength of soft rock follows a two-parameter Weibull distribution, we constructed a statistical damage constitutive model for soft rock in mountain tunnels. …”
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The Design and Validation of a High-Precision Angular Vibration Calibration System Based on a Laser Vibrometer by Xinghan Lin, Zhigang Huang, Keyou Guo, Gang Li

“…This research provides essential technical support for high-precision angular vibration control in spacecraft.…”
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Visual–Inertial Autonomous UAV Navigation in Complex Illumination and Highly Cluttered Under-Canopy Environments by Leyang Zhao, Weixi Wang, Qizhi He, Li Yan, Xiaoming Li

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Development of an Artificial Neural Network Model to Predict the Tensile Strength of Friction Stir Welding of Dissimilar Materials Using Cryogenic Processes by Mingoo Cho, Jinsu Gim, Ji Hoon Kim, Sungwook Kang

“…The model successfully predicted tensile strength with an average error of 5.4%, demonstrating its potential for predicting mechanical properties under different welding conditions. …”
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Prediction of Freezing Time During Hydrogen Fueling Using Machine Learning by Ji-Ah Choi, Ji-Seong Jang, Sang-Won Ji

“…The comparison revealed that the maximum error rate occurred after the second refueling, with a value of approximately 4.79%. …”
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Comparative analysis of interpolation methods for rainfall mapping in the Faria catchment, Palestine by Sameer Shadeed, Anan Jayyousi, Abdelhaleem Khader, Christian Chwala, Harald Kunstmann

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Institutional performance and its impact on economic growth in ASEAN countries: trend and panel data analysis by Setyo Wira Rizki, Nikolay I. Didenko

“…The alpha value representing an error probability is selected to make a decision. …”
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Machine Learning‐Based Failure Prediction in Concrete Slabs and Cubes Under Impact Loading by Mohammad Hematibahar, Ahmed Deifalla, Adham E. Ragab, Gebre Tesfaldet

“…Design standards‐based statistical comparisons such as coefficient of determination and root mean square error are used to assess the efficacy of the generated models. …”
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How Islamic Rural Bank Overcomes the Trade-off Between Sustainability and Outreach: Does Market Competition Matter? by Syafaat Muhari, Zulfiqar Ali Jumani

“…There was no consensus on how to deal with the trade-off between maintaining sustainability and outreach of microfinance institutions among researchers. This research aims to find out how Islamic rural banks balance the demands for sustainability and financial outreach at the same time where competition in the microfinance segment is increasing. …”
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Rprot-Vec: a deep learning approach for fast protein structure similarity calculation by Yichuan Zhang, Wen Zhang

“…Its open-source availability and released datasets facilitate broader adoption and further development by the research community.…”
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Meta-Analysis of Sociological Factors Effective to Social Development with Emphasis on the Role of Urban and Rural Origin in Iran by mohammad reza Hosseini

“…The purpose of this study is to meta-analyze Sociological factors.In order to conduct this research,18 related studies that were conducted during the years 2007-2018 and with the aim of investigating the relationship between social factors and social development and were published in scientific-research journals, were selected. …”
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Sexual Education of Young University Students: Some Key Factors and Challenges by María Luisa Preinfalk-Fernández

“…The findings set out are part of a larger research, based on contributions from the theory of gender and social constructionism. …”
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METAHEURISTIC OPTIMIZATION METHODS FOR PARAMETERS ESTIMATION OF DYNAMIC SYSTEMS by A. V. Panteleev, A. U. Kryuchkov

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Development of an assessment for responsibility in junior high school swimming lessons by Ermawan Susanto, Subagyo, Devi Tirtawirya, M. Hamid Anwar, Mujriah, Nur Khozanah Ilmah

“…The quantitative assessment was analyzed using Aiken (0.92 with an error rate of 5%). Empirical validity was obtained by t test > 1.96 with a 95% confidence level. …”
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Impacts of climate change on agricultural value added in Ivory Coast by Paul-Alfred Kouakou Kouakou

“…It extends the existing literature on the causal relationship between climate change and agricultural development. Finally, the Vector Error Correction Model (VECM) is used to address this issue. …”
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