Variational Bayesian Variable Selection in Logistic Regression Based on Spike-and-Slab Lasso by Juanjuan Zhang, Weixian Wang, Mingming Yang, Maozai Tian

“…The method of introducing a new hidden variable or approximating the lower bound is used to solve the problem of logistic functions without conjugate priors. …”
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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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Research Progress on Technology Parameter Optimization of High-speed Dry Gear Hobbing by CHENG Yao-nan, MA Chun-jie, ZHANG Jian-yu, XIN Li-ming, WANG Xin-yu

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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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The Constraint Function Response Shifting Scalar-Based Optimization Method for the Reliability-Based Dynamic Optimization Problem by Ping Qiao, Qi Zhang, Yizhong Wu

“…Specifically, the shift scalar CFRSS is calculated by the probability density function of the constraint function response and deducted for probabilistic constraints in the constraint function response space to move the violated constraints toward the reliable region, avoiding solving large-scale optimization problems in the control variable space. …”
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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 Ambartsumian delay differential equation with a variable coefficient is considered in this paper. An effective transformation is produced to convert the extended Ambartsumian equation to the pantograph model. …”
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Reliability Analysis of Three-dimensional Soil Slopes Considering Spatial Variability of Soil Parameters by Wan Yukuai, Zhou Yuqi, Shao Linlan, Wang Yuke, Zhang Fei

“…To address these limitations, this study employs the covariance matrix decomposition method to generate 3D lognormal random fields for soil parameters, enabling efficient modeling of spatial variability. The particle swarm optimization (PSO) algorithm is refined with enhanced termination criteria and integrated with the 3D Bishop method to search for the minimum factor of safety (F). …”
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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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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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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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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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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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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

“…Under various boundary conditions, the output power and conversion efficiency of the topology optimized structures with different objective functions outperform those of the comparison structures. …”
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The cortical and extra-cortical bioelectrical processes determining the neurobiofeedback success and efficiency of sportsmen by L. P. Cherapkina

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Soret and dufour impacts on radiative power-law fluid flow via continuously stretchable surface with varying viscosity and thermal conductivity by T. S. Khaleque, A. Hossain, M. D. Shamshuddin, Mohammad Ferdows, S. O. Salawu, Shuyu Sun

“…The uniqueness of this study lies in the consideration of fluid variable thermic conductivity and viscosity, which introduces a higher degree of realism into the analysis. …”
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Optimization of heat transfer and entropy for Maxwell dusty fluid: Significance of Lorentz force and variable viscosity by Aziz Ullah Awan, Sidra Qayyum, Bagh Ali, Fehmi Gamaoun, Nehad Ali Shah, N. Ameer Ahammad, Sohail Nadeem

“…Additionally, the Nusselt number and friction factor are computed. The results demonstrated that the mixed convection parameter and the dusty-fluid interaction variable increase the entropy production and the Bejan number. …”
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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

“…However, available forecasting models focus on forecasting the wind speed using historical wind speed data and ignore multidimensional meteorological variables. The objective is to develop a hybrid model with multidimensional meteorological variables for forecasting the wind speed accurately. …”
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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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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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