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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Correlation between intradialytic blood pressure variability and cognitive impairment in patients on maintenance hemodialysis by Jingfang Wan, Jun Liu, Jing Pan, Lili Fu, Dandan He, Yaru Yao, Yani He, Kehong Chen

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Characteristics stochastic analysis of long and narrow deep excavations under soil spatial variability by Shouhua Liu, Zhaoliang Wang, Yadong Chen, Guohua Fang, Yiding Zhao, Junsheng Yang, Huasheng Sun

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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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The Dynamics of Shannon Entropy in Analyzing Climate Variability for Modeling Temperature and Precipitation Uncertainty in Poland by Bernard Twaróg

“…Statistically significant positive correlations were observed between entropy and global temperature anomalies during both winter (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>ρ</mi></mrow></semantics></math></inline-formula> = 0.826) and summer (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>ρ</mi></mrow></semantics></math></inline-formula> = 0.650), indicating potential linkages between local climate variability and global warming trends. To explore the direction of this relationship, a Granger causality test was conducted, which did not reveal statistically significant causality between NINO3.4 and Shannon entropy (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>p</mi></mrow></semantics></math></inline-formula> > 0.05 for all lags tested), suggesting that the observed relationships are likely co-varying rather than causal in the Granger sense. …”
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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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Increased Temporal Variability of Gait in ASD: A Motion Capture and Machine Learning Analysis by Katharine Goldthorp, Benn Henderson, Pratheepan Yogarajah, Bryan Gardiner, Thomas Martin McGinnity, Brad Nicholas, Dawn C. Wimpory

“…Further machine learning analysis showed that the temporal variability of gait could be used as a group classifier for ASD. …”
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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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Advanced IoT-based monitoring system for real-time photovoltaic performance evaluation: Conception, development and experimental validation by Njimboh Henry Alombah, Jerome Ndam Mungwe, Ambe Harrison, Wulfran Fendzi Mbasso, Hilaire Bertrand Fotsin

“…The device is equipped with weather-resistant sensors, enabling efficient operation in various weather conditions throughout the year. …”
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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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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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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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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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Numerical modeling for optimized sediment deflection with variable submergence over a row of submerged vanes by Vikalp Chauhan, Ellora Padhi, Gopal Das Singhal

“…This research examines the potential for improved sediment deflection efficiency through the optimisation of variable submergence. …”
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Risk assessment of rail transit systems with variable renewable energy based on uncertain random theory by Yanbo Chen, Xiaoxue Li, Zhi Zhang

“…Variable renewable energy access to rail transportation is an effective way for electrified railroads to realize their own efficient and renewable energy use, however, the uncertainty of variable renewable energy also brings risks to the reliable transportation of railroad. …”
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Mild to moderate clinical course of COVID-19 infection in patients with common variable immune deficiency by Spaska Lesichkova, Snezhina Mihailova, Elisaveta Naumova, Petya Yankova, Yana Krasteva, Ralitsa Marinova

“…We report the clinical course and immunological evaluation of five patients with common variable immune deficiency (CVID) who have experienced SARS-CoV-2 virus. …”
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