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

“…The intradialytic SBP was converted to the following 4 candidate short-term BPV indices: standard deviation (SD), coefficient of variation (CV), average real variability (ARV), RANGE. …”
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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

“…As the coefficient of soil spatial variability increases, the diversity and chaotic characteristics of ground surface settlements become more prominent. …”
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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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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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Optimization Design of Gear Transmission Parameter based on Efficiency Improvement by Rui Su, Gangjun Li, Huazhi Li, Pingping Liu, Yangsen Huang

“…The integral along the length of thread engagement is calculated for the average transmission efficiency expression of gear in meshing process. The expression of the independent variables including active tooth number z1， the transmission ratio i， the friction coefficient f and pressure angle α. …”
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Efficient Methodology for Power Management Optimization of Hybrid-Electric Aircraft by Giuseppe Palaia, Karim Abu Salem, Erasmo Carrera

“…The power supplied by the thermal engine, modeled as a time piecewise function, is a design variable; a parametric study on the number of intervals composing this function is performed. …”
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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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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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Increasing constraint of aridity on tree intrinsic water use efficiency by Mengjie Wang, Shushi Peng, Zihan Lu, Xiangtao Xu, Andrew Felton, Anping Chen

“…Abstract The intrinsic water use efficiency (W) of trees serves as a key variable linking water and carbon fluxes in forest ecosystems. …”
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Acid-Activated Biochar for Efficient Elimination of Amoxicillin From Wastewater by David Adu-Poku, Selina Ama Saah, Patrick Opare Sakyi, Charles Kwame Bandoh, Benjamin Agyei-Tuffour, David Azanu, Michael Oteng-Peprah, Issifu Hawawu, Samuel Azibere, Kweku Amaning Affram

“…In exploring the potential of agricultural waste as an efficient adsorbent, acid-activated coconut husk biochar was prepared, characterized and applied to remove amoxicillin from wastewater. …”
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ON AN INITIAL BOUNDARY–VALUE PROBLEM FOR A DEGENERATE EQUATION OF HIGH EVEN ORDER by Akhmadjon K. Urinov, Dastonbek D. Oripov

“…An estimate for solution of the problem was obtained, which implies its continuous dependence on the given functions.…”
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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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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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Exponential Squared Loss-Based Robust Variable Selection with Prior Information in Linear Regression Models by Hejun Wei, Tian Jin, Yunquan Song

“…For more than a decade, penalized likelihood frameworks have been the predominant approach for variable selection, where appropriate loss and penalty functions are selected to formulate unconstrained optimization problems. …”
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Using regression trees for improving the efficiency of nonlinear programming solvers by Fulya Terzi, Necati Aras, M. Gökçe Baydoğan

“…The approach is tested on 24 single-objective functions to reduce the domain of decision variables. …”
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The Efficiency of The Interest Channel in The Context of Monetary Policy in Developed Countries by Taner Taş, Kubilay Çağrı Yılmaz

“…Within the framework of the panel VAR model established in line with the results obtained from these tests, the efficiency of the interest channel was investigated with the impulse-response functions and variance decomposition methods. …”
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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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Research on Stress Analysis and Control of Surrounding Rock of Trapezoidal Roadways Based on Complex Variable Theory by Zhiqiang Wang, Chao Wu, Jianqiao Luo, Wenyu Lv, Lei Shi, Peng Wang

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