Event-Triggered Fault-Tolerant ADRC for Variable-Load Quadrotor with Prescribed Performance by Zhichen Li, Qiaoran Wang, Huaicheng Yan

“…The method offers a promising solution for robust and efficient quadrotor control in complex environments.…”
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Analysis of the variability of morphometric and physiological parameters of grain crops when using biofertilizers by D. G. Fedorova, L. V. Galaktionova

“…The parameters of photosynthetic activity play an important role in photosynthesis and ensure the efficient functioning of plants under various conditions. …”
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Investigation of Error Probability for Grid and Random Uniform Topologies in a Variable Noise Environment by Mahmoud Zaki Iskandarani

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Design and Research of a Variable Ratio Transmission Mechanism of Electric Power Steering System by Xueyun Li, Shuang Liang

“…Then a continuously differentiable curve function of variable transmission ratio is designed， and the noncircular gear in the system is designed. …”
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Research in material distribution based on topology optimization in variable section segmented thermoelectric generators by Qiuchen Fu, Yemao Wang, Liyao Xie, Yulong Zhao, Barkat Ali Bhayo

“…Topology optimized structures are obtained by maximizing output power and conversion efficiency as the objective functions, and performance comparison studies are conducted against structures with different material distributions. …”
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Upstream open reading frames buffer translational variability during Drosophila evolution and development by Yuanqiang Sun, Yuange Duan, Peixiang Gao, Chenlu Liu, Kaichun Jin, Shengqian Dou, Wenxiong Tang, Hong Zhang, Jian Lu

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Multiobjective Approach to the Transit Network Design Problem with Variable Demand considering Transit Equity by Su Jin Park, Seungmo Kang, Young-Ji Byon, Seung-Young Kho

“…This paper adopts a multiobjective approach that considers system efficiency, user inconvenience, and transit equity without the use of weights in order to design a more realistic and efficient transit network. …”
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Enhancing water depth inversion accuracy via SAR and variable window sliding segmentation by Meng Zhang, Meng Zhang, Chao Qi, Chao Qi, Fanlin Yang, Fanlin Yang, Ruifu Wang, Ruifu Wang, Saied Pirasteh, Saied Pirasteh

“…Traditional segmentation methods lack efficiency and often result in low-resolution outcomes. …”
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A novel analytical treatment for the Ambartsumian delay differential equation with a variable coefficient by Rana M. S. Alyoubi, Abdelhalim Ebaid, Essam R. El-Zahar, Mona D. Aljoufi

“…The first solution is expressed as an exponential function multiplied by an infinite power series. The second solution is obtained as an infinite series in terms of exponential functions. …”
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Optimising the Selection of Input Variables to Increase the Predicting Accuracy of Shear Strength for Deep Beams by Mohammed Majeed Hameed, Faidhalrahman Khaleel, Mohamed Khalid AlOmar, Siti Fatin Mohd Razali, Mohammed Abdulhakim AlSaadi

“…One of the major obstacles in building an accurate prediction model is optimising the input variables. Therefore, developing an efficient algorithm to select the optimal input parameters that have the highest information content to represent the target and minimise redundant data is very important. …”
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Business Intelligence Systems and Organization Performance the Role of Competitive Advantage as a Mediator Variable by Almajali Wasef Ibrahim, Awamleh Fawwaz Tawfiq, Alarabiat Yousef Ahmad, Tawalbeh Mohammad

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Modeling circadian variability of core-clock and clock-controlled genes in four tissues of the rat. by Panteleimon D Mavroudis, Debra C DuBois, Richard R Almon, William J Jusko

“…The analysis suggests that inter-tissue circadian variability of the same clock-controlled genes is an inherent component of homeostatic function and may arise due to different transcription factor activities on Ebox/RRE/Dbox elements.…”
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A Penalized Orthogonal Kriging Method for Selecting a Global Trend by Xituo Zhang, Guoxing Gao, Jianxin Zhao, Xinmin Li

“…In this paper, we introduce a new method for combining orthogonal kriging with penalized variable selection. Furthermore, an efficient algorithm is given to select the correct mean function. …”
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VarProDMD: Solving Variable Projection for the Dynamic Mode Decomposition with SciPy’s optimization suite by Gerhard Reinerth, David Messmann, Jean Elsner, Ulrich Walter

“…The available Python library implements a variant of the Levenberg–Marquardt optimizer for the Variable Projection Method. The optimization procedure uses a complex residual function since the measurements can incorporate complex numbers. …”
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The recursive algorithm to construct Dirichlet function by A. N. Lysiuk, S. S. Derechennik

“…The importance of this problem is demonstrated for the procedures processing statistical data, representing the ratio of two discrete variables with a variable denominator. It is found out, that that required number of fractions is equal to the Dirichlet function value at the x point, and the original rule is proposed to construct it, which has a simple geometric interpretation. …”
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GWO and WOA variable step MPPT algorithms-based PV system output power optimization by Abderrahim Zemmit, Abdelouadoud Loukriz, Khaled Belhouchet, Yahya Z. Alharthi, Muhannad Alshareef, Prabhu Paramasivam, Sherif S. M. Ghoneim

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Self-optimization of Wind Turbine Variable-pitch Control Parameters Based on Adaptive Genetic Algorithm by CHANG Sheng, WAN Yubin, JIANG Tao

“…For the low parameter tuning efficiency, accuracy and adaptability of the traditional PID parameter tuning method currently adopted in the wind turbine variable-pitch system, this paper presents a method for self-optimization of wind turbine variable-pitch control parameters based on adaptive genetic algorithm, including variable-gain variable-pitch PID parameter self-optimization and tower damping parameter self-optimization. …”
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Dynamic simulation of additively manufactured lattice structures based on variable cross-section beam elements by ZHU Xi, MENG Liang, ZHANG Jing, WANG Jintao, GAO Tong, ZHU Jihong, ZHANG Weihong

“…For lattice structures with different diameters， the inverse problem calibration of the tapered beam parameters is carried out respectively，and an interpolation model for the geometric parameters of the tapered beam as a function of rod diameter is established. Finally，the effectiveness of the interpolation model for the geometric parameters of the variable cross-section beam is verified for lattice structures with different rod diameters and gradient lattices. …”
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A STUDY OF THE DETERMINANTS OF THE OLIVE CROP PRODUCTION IN NINEVEH PROVINCE: BASHIQA DISTRICT AS A CASE STUDY FOR THE SEASON 2010 by Abdul Salam Hussein, Salah Fahmi Shaba

“…The Output of the olive crop was considered as the explanatory variable and the total cost in Iraqi Dinar is considered as dependant variable. …”
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A Proposal for a New Python Library Implementing Stepwise Procedure by Luiz Paulo Fávero, Helder Prado Santos, Patrícia Belfiore, Alexandre Duarte, Igor Pinheiro de Araújo Costa, Adilson Vilarinho Terra, Miguel Ângelo Lellis Moreira, Wilson Tarantin Junior, Marcos dos Santos

“…As the main contribution of this study, we present the stepwise function implemented in Python to improve the effectiveness of statistical analyses, allowing the intuitive and efficient selection of statistically significant variables. …”
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