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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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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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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Multidimensional Meteorological Variables for Wind Speed Forecasting in Qinghai Region of China: A Novel Approach by He Jiang, Luo Shihua, Yao Dong

“…The accurate, efficient, and reliable forecasting of wind speed is a hot research topic in wind power generation and integration. …”
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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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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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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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Hereditary angioedema diagnosis evaluation score (HADES): A new clinical scoring system for predicting hereditary angioedema with C1 inhibitor deficiency by Ricardo Zwiener, MD, Rafael Zamora, MD, Carlos María Galmarini, MD, PhD, Laura Brion, PhD, Laura Arias, MD, Andrea Pino, MD, Paula Rozenfeld, PhD

“…Conclusions: The predictive HADES offers a simple and efficient method for improving testing for suspicion of HAE by using clinical parameters. …”
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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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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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Minute Ventilation/Carbon Dioxide Production Slope Could Predict Short- and Long-Term Prognosis of Patients After Acute Decompensated Heart Failure by Sheng-Hui Tuan, I-Ching Huang, Wei-Chun Huang, Guan-Bo Chen, Shu-Fen Sun, Ko-Long Lin

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A Neutrosophic Multi-Objective Optimization Framework for Sustainable Design of Water Supply Systems by Jesús Rafael Hechavarría Hernández, Maikel Yelandi Leyva Vázquez

“…Through the application of MMN, optimal solutions are identified that not only minimize costs and losses but also maximize efficiency and service quality, considering variability in demand and risks associated with climate change and infrastructure failures. …”
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Statistics of the Interplanetary Magnetic Field from 0.1 to 30 au. II. Dynamical Variability by Jiutong Zhao, Shan Wang, Weijie Sun, Xingyu Zhu, Chuanpeng Hou, Qiugang Zong, Jiansen He, Xuzhi Zhou, Chao Yue, Liu Yang, Daniel Heyner

“…Our analysis reveals that the autocorrelation function employed to measure IMF temporal variability is significantly influenced by the heliocentric distance and the solar cycle. …”
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Neuro-fuzzy control of bilateral teleoperation system with transmission timedelay and force feedback using Arduino Due board by Hakima Rahem, Rabah Mellah, Massinissa Zidane, Abdelhakim Saim

“…In order to demonstrate the efficiency, adaptability and advantages of ANFIS controller, several comparative experiments are carried out using different controllers (ANFIS, conventional PI and PI regulator with the modified wave variable method PI+MWVM). …”
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Significance of dissipative flow on a second-grade nanofluid with variable thermal properties on the stretching surface by Zia Ullah, Aamir Abbas Khan, Shalan Alkarni, Abhinav Kumar, N. Beemkumar, Tushar Aggarwal, Ashwin Jacob, Jajneswar Nanda, Feyisa Edosa Merga

“…Boundary conditions are used for the analysis of heat and mass transmission. Stream functions and similarity variables are utilized to reduce the complexity of the governed PDEs (partial differential equations) and altered into ODEs (ordinary differential equations). …”
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Prognostic Significance of Pulse Pressure Variability During Mechanical Thrombectomy in Acute Ischemic Stroke Patients by Benjamin Maïer, Guillaume Turc, Guillaume Taylor, Raphaël Blanc, Michael Obadia, Stanislas Smajda, Jean‐Philippe Desilles, Hocine Redjem, Gabriele Ciccio, William Boisseau, Candice Sabben, Malek Ben Machaa, Mylene Hamdani, Morgan Leguen, Etienne Gayat, Jacques Blacher, Bertrand Lapergue, Michel Piotin, Mikael Mazighi

“…Moreover, pulse pressure (PP) has not been considered as a potent hemodynamic parameter to describe BP variability during MT. We assessed the impact of PP variability on functional outcome in acute ischemic stroke patients with large vessel occlusion during MT. …”
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Free Vibration Analysis of Moderately Thick Rectangular Plates with Variable Thickness and Arbitrary Boundary Conditions by Dongyan Shi, Qingshan Wang, Xianjie Shi, Fuzhen Pang

“…Under the current framework, the one displacement and two rotation functions are generally sought, regardless of boundary conditions, as an improved trigonometric series in which several supplementary functions are introduced to remove the potential discontinuities with the displacement components and its derivatives at the edges and to accelerate the convergence of series representations. …”
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Variable Selection for Multivariate Failure Time Data via Regularized Sparse-Input Neural Network by Bin Luo, Susan Halabi

“…For linear marginal hazard models, we develop a penalized pseudo-partial likelihood approach with a group LASSO-type penalty applied to the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi mathvariant="sans-serif-italic">ℓ</mi><mn>2</mn></msub></semantics></math></inline-formula> norms of coefficients corresponding to the same covariates across marginal hazard functions. …”
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