ANALYSIS OF PATH NONPARAMETRIC TRUNCATED SPLINE MAXIMUM CUBIC ORDER IN BANKING CREDIT OF RISK BEHAVIOR MODEL by Devi Veda Amanda, Atiek Iriany, Adji Achmad Rinaldo Fernandes, Solimun Solimun

“…Based on the results of the analysis, it is known that the best-truncated spline nonparametric path model is the quadratic order of 2 knots with a coefficient of determination of 85.50%; the significance of the best-truncated spline nonparametric path estimator shows that all exogenous variables have a significant effect on endogenous variables.…”
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The estimation of correlation between milk and reproductive traits in holstein by canonical correlation analysis by İsmet Doğan

“…The process ot maximizing the correlation between two linear function ot two sets of random variables is known as Canonical Correlation Analysis, Canonical Correlation Analysis is a statistical method which has been used to describe the re latıonshıp between a set o! …”
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Stochastic Transportation Problem with Multichoice Random Parameter by Talari Ganesh, K. K. Paidipati, Christophe Chesneau

“…This paper deals with the situation of multiple random choices along with multiple objective functions of the transportation problem. Due to the uncertainty in the environment, the choices of the cost coefficients are considered multichoice random parameters. …”
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A Fusion Method Based on Physical Modes and Satellite Remote Sensing for 3D Ocean State Reconstruction by Yingxiang Hong, Xuan Wang, Bin Wang, Wei Li, Guijun Han

“…This study developed an operational-oriented lightweight framework for three-dimensional ocean state reconstruction by integrating multi-source observations through a computationally efficient multivariate empirical orthogonal function (MEOF) method. …”
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Intelligent hybrid method to predict generated power of solar PV system by Prashant Singh, Navneet Kumar Singh, Asheesh Kumar Singh

“…The input solar PV power data are broken down into intrinsic mode functions (IMFs) using EMD technique is fed into the PSO-ANFIS, along with important meteorological variables. …”
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Attributes of Internal Audit and Prevention, Detection and Assessment of Fraud in Pakistan by Naveed Khan, Abdul Rafay, Amer Shakeel

“… With it being considered as a value-added activity, the Internal Audit function (IAF) of a firm is one of the most important functions in an organization. …”
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Topologic Reorganization of White Matter Connectivity Networks in Early-Blind Adolescents by Zhifeng Zhou, Long Qian, Jinping Xu, Yumin Lu, Fen Hou, Jingyi Zhou, Jinpei Luo, Gangqiang Hou, Wentao Jiang, Hengguo Li, Xia Liu

“…Moreover, decreased regional efficiency and increased nodal path length in some visual and default-mode areas were strongly associated with the period of blindness in EBA cohort, suggesting that the function of these areas would gradually weaken in the early-blind brains. …”
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Collaborative Federated Learning of Unmanned Aerial Vehicles in Space–Air–Ground Integrated Network by Huibo Li, Peng Gong, Siqi Li, Weidong Wang, Yu Liu, Xiang Gao, Dapeng Oliver Wu, Duk Kyung Kim, Guangwei Zhang, Jihao Zhang

“…In addition, the closed-form solutions of the optimized variables are obtained. Simulation results demonstrate that the proposed collaborative training scheme based on D2D can reduce the impact of heterogeneity on FL model performance and IRA can effectively reduce energy consumption while simultaneously enhancing training efficiency of FL.…”
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Impact of viscous dissipation, chemical reaction over a Carreau hybrid nanofluids flow across a permeable curved Riga surface by R. Mahesh, U.S. Mahabaleshwar, Basma Souayeh

“…Subsequently, the original partial differential equations are transformed using boundary layer approximations and similarity variables to produce a dimensionless ordinary differential equation. …”
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Integration of indigenous and formal knowledge in the assessment of soil quality performance assessment using multiple factor analysis in Alborz central mountains by Niloufar Izadi, Fateme Aghamir

“…The current study uses Multiple Factor Analysis (MFA) to propose efficiency indicators based on the weighting of familiar, organizational, or productive variables in groups evaluating indigenous, scientific, and data variability. …”
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Effect of settling time, velocity gradient, and camp number on turbidity removal for oilfield produced water by Thamer J. Mohammed, Eman Shakir

“…The experimental results of this study are used to develop an empirical correlation for turbidity removal efficiency as a function of multi variables poly-aluminum chloride dosage; polyelectrolyte dosage; and Ferric chloride dosage. …”
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Research on Local Obstacle Avoidance Path Planning Algorithm for Autonomous Mining Trucks by HUANG Shuai, WANG Jia, HUANG Jiade, HUANG Peng, LYU Liang

“…Through solving the optimization function, autonomous local path planning is initiated for mining trucks encountering obstacles. …”
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Computational Algorithms for Representing Aircraft Instruments with Barometric Physics (Numerical Methods Applied to Flight Simulation) by Adan Ramirez-Lopez

“…Finally, an approach analysis as a function of the step time (Δt) used for calculation of the aircraft displacement to evaluate the efficiency of the numerical method integrated in the simulator is also described. …”
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Using Interval Operations in the Hungarian Method to Solve the Fuzzy Assignment Problem and Its Application in the Rehabilitation Problem of Valuable Buildings in Egypt by M. A. Elsisy, A. S. Elsaadany, M. A. El Sayed

“…A study on the reuse of many valuable buildings is presented after using different government and service buildings in a manner that does not fit with its original function and heritage value. We offer a solution based on the scientific and realistic basis for requalification according to the variables and requirements of the social, cultural, and economic environments in the environment surrounding the valuable buildings.…”
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Variation in Likert scale of the mathematics usefulness test by Facundo Juan Pablo Abal, Sofía Esmeralda Auné, Horacio Félix Attorresi

“…Likert scales with more categories increased test reliability at the extreme levels of the trait, but at the expense of compromising the internal structure validity evidences (Confirmatory Factor Analysis and Partial Credit Model of the Item Response Theory). The relative efficiency function revealed that similar information is obtained for all levels of the trait when using 5 or 6-point scales. …”
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Landing scheduling for carrier aircraft fleet considering bolting probability and aerial refueling by Genlai Zhang, Lei Wang, Zhilong Deng, Xuanbo Liu, Xichao Su, Haixu Li, Chen Lu, Kai Liu, Xinwei Wang

“…Then, taking the landing sequencing as decision variables, a combinatorial optimization model with a compound objective function is formulated. …”
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Influence of structural surface roughness on the strength of layered fill bodies based on PFC2D by Jinxing WANG, Zongsheng HU, Huazhe JIAO, Xiaolin YANG, Qi ZHANG, Xiaohui LIU, Ping XU, Junqiang XU, Xun CHEN

“…The relationship between cemented surface roughness and backfill strength is examined by analyzing variables such as cemented surface roughness, mass fraction of slurry, cement-to-sand ratio, and filling interval time. …”
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Nonparametric Test for Logistic Regression with Application to Italian Enterprises’ Propensity for Innovation by Stefano Bonnini, Michela Borghesi

“…In this work, a nonparametric method is proposed to jointly test the significance of the regression coefficient estimates in a logistic regression model and identify which explanatory variables are effective in predicting the binary response. …”
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PileBetaGR: An R-based integrative tool for predicting the geometric reliability index of piles using load-displacement curves by Xing Zheng Wu

“…The application compiles a series of functions for analyzing load-displacement data: (i) a power law regression is used to fit each load-displacement curve, yielding a set of regression parameters for the site; (ii) a normal copula model is established to fit the joint distribution of these regression variables, allowing a geometric reliability index to be computed; (iii) the critical environmental contour is determined based on the joint probability density function and the limit state function. …”
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Integration of artificial intelligence and advanced optimization techniques for continuous gas lift under restricted gas supply: A case study by Leila Zeinolabedini, Forough Ameli, Abdolhossein Hemmati-Sarapardeh

“…In addition, the net present value (NPV) serves as the objective function. To optimize the selected input variables, including tubing inside diameter, gas injection rate, and separator pressure, various optimization algorithms such as particle swarm optimization (PSO), ant colony optimization (ACO), genetic algorithm (GA), and a Novel optimization algorithm in a gas-lift study called grey wolf optimization (GWO), were utilized considering the constraint of the limited available gas. …”
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