A Penalized Orthogonal Kriging Method for Selecting a Global Trend by Xituo Zhang, Guoxing Gao, Jianxin Zhao, Xinmin Li

“…In this paper, we introduce a new method for combining orthogonal kriging with penalized variable selection. Furthermore, an efficient algorithm is given to select the correct mean function. …”
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Magnetic Deflection Coefficient Investigation for Low Energy Particles by Baghdad Science Journal

“…The results showed had been tabulated and graphically represented as functions of their variables. These results a satisfactory agreement between experimental values and theoretical data given in the literature showed.…”
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Improving Scheduling Efficiency: A Mathematical Approach to Multi-Operation Optimization in MSMEs by Reyner Pérez-Campdesuñer, Alexander Sánchez-Rodríguez, Margarita De Miguel-Guzmán, Gelmar García-Vidal, Rodobaldo Martínez-Vivar

“…The results show that prioritizing the objective function leads to a balanced optimization of all indicators, improving operational efficiency and reducing flow time. …”
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Optimal root pruning to promote growth and water use efficiency of rice seedlings by ZHU Mei, HU Chenfan, LIU Shuoshuo, LIN Shimiao, LIU Jingzhe

“…Key indicators such as seedling vigor index, root-to-shoot ratio, photosynthetic traits, and water use efficiency were measured during the. Using the membership function method, seven variables were used to comprehensively assess the impact of different pruning treatments.…”
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The distribution of Coronal Plane Alignment of the Knee (CPAK) phenotypes in the Malaysian population and their correlation with demographic variables by Wai Kit Wong, Azliana Abu Bakar Sajak, Hwa Sen Chua

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Modelling Sustainable Port Operations: Balancing Inputs and Outputs with the Cobb–Douglas Function by Claudia Durán, Ivan Derpich, Fabricio Moreno, Amir Karbassi Yazdi, Yong Tan

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Leveraging normal distribution and fuzzy S-function approaches for solar cell electrical characteristic optimization by Mahmood Ruqaya Shaker, Al-Gebory Layth, Mustaf Ammar Saad, Khalid Yasameen Waleed, Alameri Kawther A., Rasheed Mohammed, Rashid Taha

“…Furthermore, a fuzzy S-function model was applied to account for uncertainty and variability in real-world conditions. …”
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Speckle-Tracking Echocardiography in Dogs: Evaluating Imaging Parameters and Methodological Variability in Global Longitudinal Strain Assessment by Jonas E. Mogensen, Maiken B. T. Bach, Pernille G. Bay, Tuğba Varlik, Jakob L. Willesen, Caroline H. Gleerup, Jørgen Koch

“…Two-dimensional speckle-tracking echocardiography (2D-STE) is an advanced imaging technique that offers quantitative insights into myocardial function by analyzing the motion of speckles created during ultrasound–tissue interactions. …”
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Enhancing water use efficiency: Insights from hydrological variability encounter of multiple water sources and implications for terminal Lake management in arid regions by Kun Liu, Yunfei Chen, Bin Wu, Hailiang Xu, Abdul Waheed, Fan Gao, Bing He, Long Zhou, Jie Wu, Qin Zhang, Jinhao Ju

“…Multivariate empirical mode decomposition (MEMD) was applied to identify periodic characteristics of runoff, while wavelet coherence transform assessed the consistency of runoff patterns. A Copula function was then utilized to construct a joint distribution model, quantifying variability patterns and their cascading effects on ecological water use in Taitema Lake. …”
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DBEM solutions to modified Helmholtz problems for FGMs of space–time-dependent properties by Mohammad Ivan Azis

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Importance Measure for Fuzzy Structural Systems from the Probabilistic Perspective and Its Solving Algorithms by Guijie Li, Miaomiao Zhu, Sanyuan Li

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Hydrophobic nanostructured bioaerogel filters for efficient particulate matter removal by Wafa Mustafa Saleh, Esam Bashir Yahya, Mardiana Idayu Ahmad, Abdul Khalil H. P. S.

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On an Optimal Quadrature Formula for Classes of Functions Given by Modulus of Continuity by M. Sh. Shabozov

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Machine Learning and Statistical Analyses of Sensor Data Reveal Variability Between Repeated Trials in Parkinson’s Disease Mobility Assessments by Rana M. Khalil, Lisa M. Shulman, Ann L. Gruber-Baldini, Sunita Shakya, Jeffrey M. Hausdorff, Rainer von Coelln, Michael P. Cummings

“…Although the total duration remains relatively consistent between trials (intraclass correlation coefficient (ICC) = 0.62 to 0.95), greater variability is seen in subtask duration and sensor-derived measures, reflected in machine learning performance and statistical differences. …”
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ANALYSIS OF THE TECHNICAL EFFICIENCY OF EUROPEAN SEA BASS FARMS IN TURKEY: A STOCHASTIC FRONTIER PRODUCTION FUNCTION APPROACH by Mehmet AYDOÄžAN, Osman UYSAL

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ANALYSIS OF THE TECHNICAL EFFICIENCY OF EUROPEAN SEA BASS FARMS IN TURKEY: A STOCHASTIC FRONTIER PRODUCTION FUNCTION APPROACH by Mehmet AYDOĞAN, Osman UYSAL

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Evaluation of the polymorphism of the GDF9 and BMP15 genes and their relationship with the reproductive functions of sheep of different breeds by Z. K. Gadzhiev, E. S. Surzhikova, D. D. Evlagina, A. I. Surov, S. N. Shumaenko

“…Polymorphism is the result of evolutionary processes and is inherited, associated with biodiversity and modified by natural selection and functions to preserve various forms of population. …”
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Assessing variability and detecting the effective traits on yield of chickpea (Cicer arietinum L.) promising lines under drought stress condition by Sayyed Saeed Moosavi, Mohammad Reza Abdollahi, Fatemeh Abdi, Homayoun Kanouni

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Selection of Functional Diagram of Air Multi-Compressor Control System by Roman Kokoshko, Oleksandr Kril, Bohdan Kril

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Influence of preoperative variables on the 3-month functional outcomes of the Vivity extended depth-of-focus intraocular lens: a prospective case series by Giacomo Savini, Alice Galzignato, Catarina P. Coutinho, Jinhai Huang, Yue Wu, Piero Barboni, João Mendanha Dias, Filomena J. Ribeiro, Domenico Schiano-Lomoriello

“…Assuming a minimum Pearson r correlation coefficient between variables of 0.5 with a power of 80% and a P value less than 0.05, a minimum sample size of 29 (58 eyes) cases was required. …”
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