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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Exploring the impact of AI on employee self-competence performance key variables and outcomes by Anas Amayreh, Mohammad A. Ta’Amnha, Ihab K. Magableh, Maher H. Mahrouq, Salsabila Aisyah Alfaiza

“…Abstract In the dynamic business world, organizations must upgrade their functioning and develop human resources skills to achieve optimal performance. …”
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A Novel Method for Inverting Deep-Sea Sound-Speed Profiles Based on Hybrid Data Fusion Combined with Surface Sound Speed by Qiang Yuan, Weiming Xu, Shaohua Jin, Xiaohan Yu, Xiaodong Ma, Tong Sun

“…By constructing a high-resolution regional sound speed field through WOA23 and historical SSP fusion, this method effectively mitigates spatiotemporal heterogeneity and seasonal variability. The artificial lemming algorithm (ALA) is introduced to optimize the inversion of empirical orthogonal function (EOF) coefficients, enhancing global search efficiency while avoiding local optimization. …”
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Modeling the Public Transport Networks: A Study of Their Efficiency by Mary Luz Mouronte-López

“…We have found that this process may be appropriately explained by a generalized linear model (GLM) using local, global, and quasilocal similarity indexes as explanatory variables. In modeling, the response variable was described by a binomial probability density function, and the logit function was used as a link function. …”
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Axl contributes to efficient migration and invasion of melanoma cells. by Hanshuang Shao, Diana Teramae, Alan Wells

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A New Paradigm in AC Drive Control: Data-Driven Control by Learning Through the High-Efficiency Data Set—Generalizations and Applications to a PMSM Drive Control System by Madalin Costin, Ion Bivol

“…Knowing a reasonable number of optimal efficiency operation points, an interpolation Radial Base Function (RBF) control was built. …”
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Enhancing building energy efficiency with thermal mass optimization by Yichen Han, Zhengyu He, Shuangdui Wu, Yuqiu Liu, Yingkai Lian, Chaohong Wang, Jiajia Feng, Zhengnan Zhou

“…However, effectively harnessing this energy remains challenging due to the spatiotemporal variability of heat storage–release behavior in building components, which often misaligns with building operational demands. …”
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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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IMPACT OF INTEGRATED SUPERVISION ON VOLUNTARY PENSION INSURANCE EFFICIENCY by Tatjana Rakonjac-Antić, Vesna Rajić

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IMPACT OF INTEGRATED SUPERVISION ON VOLUNTARY PENSION INSURANCE EFFICIENCY by Tatjana Rakonjac-Antić, Vesna Rajić

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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

“…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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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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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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RESEARCH CONCAVE CIRCULAR HOLE TEMPLATE LINEAR VARIABLE THICKNESS STIFFNESS AND STRENGTH THEORIES by LI ShaoJie

“…This paper studies linear variable thickness circular aperture concave template theory of stiffness and strength calculation.First,set up mechanical model:Template for circular concave,outside the perimeter fixed; center has a round hole,inside the perimeter free,outside under uniformly distributed vertical load.Secondly,the establishment of mathematical model:Derivation of concave template in the axisymmetric condition,ordinary differential equation with variable coefficients of elastic curved surface,and gives the mathematical expressions of boundary conditions.Again,in view of the differential equation boundary value problem,the displacement method and the Matlab algorithm,it is concluded that the deflection of concave template function,and establish the stiffness calculation condition of concave template.Then,determine the concave template on the bending moment and the maximum bending moment and stress,so as to establish a concave template strength calculation conditions.Finally,numerical examples.This paper presents the function solutions,to change law of control concave template section variable parameters.In this way,not only highlight the interdependent relationship between the quantity of each,and optimization,and discussion and application.The result is suitable for uniform,continuous,isotropic material artifacts.Because in the process of calculation and data processing with error,so the formula is similar.…”
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MODELING OF SHIP MOVEMENT IN SHALLOW WATER ACCORDING TO A SPECIFIC TRAJECTORY AT VARIABLE DEPTH by Z. M. Abdullaeva

“…Mathematical models of ship movement in shallow water at variable navigation depths, which differ from the existing ones, are developed: the coefficients of variable hydrodynamic equations are not constant values, but variables obtained by approximating the shallow water impact curves onto hydrodynamic coefficients in the form of third-order polynomials.Conclusions. …”
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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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