Transpiration and Water Use Efficiency of Mediterranean <i>Eucalyptus</i> Genotypes Under Contrasting Irrigation Regimes by Juan C. Valverde, Rafael A. Rubilar, Alex Medina, Matías Pincheira, Verónica Emhart, Yosselin Espinoza, Daniel Bozo, Otávio C. Campoe

“…Low irrigation reduced CAI by 5–25% and Tr by 10–35%, while WUE responses varied across genotypes, ranging from a 12% decrease to a 48% increase. Based on their functional responses, genotypes were grouped as follows: (i) stable performers (Es, Ecg, Eb) exhibited high WUE and consistent Tr under both WR; (ii) partially plastic genotypes (EgH, EngH) combined moderate reductions in Tr with improved WUE; and (iii) water-sensitive genotypes (EgL, EngL, En) showed substantial declines in Tr alongside variable WUE gains. …”
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Probability calculation of building structures considering asymmetry of random values and functions distribution by Yu. V. Krasnoshchekov

“…A method is proposed for approximating the reliability of fairly complex compositions of random variables using statistical parameters (expectation, standard deviation, and skewness coefficient) of two-element functions approximated by a lognormal three-parameter distribution.Conclusions. …”
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Multi-Static Radar System Deployment Within a Non-Connected Region Utilising Particle Swarm Optimization by Yi Han, Xueting Li, Tianxian Zhang, Xiaobo Yang

“…The velocity formulas for integer variables are modified using the sigmoid function and genetic operation, leading to the proposal of two MSRS deployment algorithms, namely MOPSO-Sigmoid and MOPSO-Gene. …”
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Non-parametric calibration estimation of distribution function under stratified random sampling by Abdullah Mohammed Alomair, Weineng Zhu, Usman Shahzad, Fawaz Khaled Alarfaj

“…By leveraging auxiliary information under a stratified random sampling (StRS) framework, the proposed methodology employs multiple calibration constraints with a chi-square distance measure to derive calibrated weights, enhancing estimation efficiency. The estimators incorporate key descriptive measures of auxiliary variable, including the CDF and coefficient of variation, and tackle the challenge of bandwidth selection using advanced techniques such as plug-in selectors and cross-validation approaches. …”
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Multi-Dimensional Analytic Functions for Laplace Equations and Generalized Cauchy–Riemann Equations by Chein-Shan Liu, Zhuojia Fu, Chung-Lun Kuo

“…Since the projective variable is a complex variable, we can construct the analytic function based on the conventional complex analytic function theory. …”
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STOCHASTIC FRONTIER PRODUCTION FUNCTION: AN APPLICATION TO ANKARA MOHAIR GOAT FARMING SYSTEM by Mehmet Arif ŞAHİNLİ, Ahmet ÖZÇELİK

“…In this study, we examined both production and technical efficiency of goat's farms in Ankara. The study adopted the stochastic frontier production function to estimate technical efficiency of the mohair goat establishments in the study area. …”
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Weather dependence of medical rehabilitation efficiency in patients with ischemic heart disease on the resort of the South Coast of Crimea by A. S. Ivaschenko, V. V. Ezhov, L. V. Yezhova, T. S. Yanovskiy, V. I. Mizin, A. M. Yarosh, P. E. Grigoriev, A. F. Pyankov

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MEASUREMENT OF ECONOMIC EFFICIENCY OF UPLAND RICE FARMING IN DIFFERENT LAND OWNERSHIP STATUS IN MAUSAMBI VILLAGE, MAUROLE SUB-DISTRICT, ENDE REGENCY by Willybrordus Lanamana

“…The data analysis method used was the production function approach and stochastic frontier cost function. …”
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METHODOLOGY FOR ACCOUNTING THE INFLUENCE OF METEOROLOGICAL FACTORS ON THE EFFICIENCY OF APPLICATION OF UNMANNED AERIAL VEHICLES ON THE BASIS OF SYSTEM ANALYSIS by I. E. Kuznetsov, A. V. Melnikov, E. A. Rogozin, O. V. Strashko

“…The dynamic probabilistic indicator, which, in characterising the dynamics of UAV functions as a complex technical system is referred to as “time efficiency of the UAV flight mission”, is substantiated. …”
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Enhancing Process Efficiency in Industry Through Statistical Process Control: Study of Aspartyl Phenylalanine Methyl Ester by Mostafa Essam Eissa

“…SPC facilitates the identification of deviations from established specifications, thereby minimizing process variability and waste, and ultimately enhancing customer satisfaction. …”
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Measurement and analysis of technical efficiency in the production of wheat and barley crops in Erbil Governorate for the agricultural season 2020-2021 by Keshkhan Yousif Aziz

“…The study used the Cobb-Douglas production function using four traditional production factors, which are (land, labor, machinery, and fertilizers) in addition to a dummy variable (D1), which represents supplementary irrigation, to estimate the parameters of the stochastic frontier model. …”
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ESTIMATING AND ANALYSING OF DEMAND FUNCTION FOR POULTRY IN IRAQ ROR THE PERIOD (1990 - 2009) by Salim Al-Youzbaki, Suha Mohammad Ahmad Al_Hmdany

“…It was found that the variables (the average per capita income and the size of the population and the prices of poultry meat, red meat, and time) has been deleted variable V average prices of fish meat from the equation for not Manueth. …”
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Employment of a Radial Basis Function Model for Predicting the Heating Load of Construction by Yuxuan Dai

“…This work highlights that HL prediction could play a great role in improvements to enhance HVAC system performances, energy efficiencies, and thereby cost benefits. The innovative approaches presented in this research consist of integrating 2 advanced optimizers, namely an Improved Manta-Ray Foraging Optimizer (IMRFO) and a Population-based Vortex Search Algorithm (PVSA), with a Radial Basis Function (RBF). …”
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The effect of gravity on hand spatio-temporal kinematic features during functional movements. by Anna Bucchieri, Federico Tessari, Stefano Buccelli, Elena De Momi, Matteo Laffranchi, Lorenzo De Michieli

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Induction Motor Geometric Parameter Optimization Using a Metaheuristic Optimization Method for High-Efficiency Motor Design by Hasbi Apaydin, Necibe Füsun Oyman Serteller, Yüksel Oğuz

“…Ten motor design parameters were used as design variables. IM efficiency was improved, as the objective function. …”
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Assessment of the functioning of the photosynthetic apparatus of Olea europaea L. under freezing temperatures by Sergei Yu. Tsiupka, Valentina A. Tsiupka, Ilya V. Bulavin

“…At a low gradient of temperature exposure (-7... - 10°C), leaf tissues of the European selection varieties ‘Coreggiolo’, ‘Ascolano’, ‘Leccino’ and ‘Razzo’ were damaged: electrical conductivity reached 15%, chlorophyll stability index decreased, variable fluorescence and photosynthetic activity coefficients decreased, uncontrolled photon quenching was significantly higher than the effective photochemical quantum yield and non-photochemical quenching. …”
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Isogeometric Analysis for Active Control of Piezoelectric Functionally Graded Plates in Thermal Environment by Tao Liu, Yafen Jiang, Shujun Li, Qingyun Liu, Chao Wang

“…A simple first-order shear deformation theory (S-FSDT) with four variables is used to describe the displacement field of the plates. …”
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Regularized regression outperforms trees for predicting cognitive function in the Health and Retirement Study by Kyle Masato Ishikawa, Deborah Taira, Joseph Keaweʻaimoku Kaholokula, Matthew Uechi, James Davis, Eunjung Lim

“…Model performance was evaluated using RMSE and R2 and interpretability was assessed via coefficients, variable importance, and decision trees. …”
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DETERMINATION OF THE OPTIMUM DOSAGE OF FOOD ADDITIVE «SELEX» FOR FUNCTIONAL BAKERY GOODS PRODUCTION by Naumova N.L.

“…While investigating the dependence between selenium losses in the production process and selenium losses during the product storage and the introduced selenium dosage, the availability of the obvious positive correlation of these variables with significant correlation coefficients has been established. …”
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Clinical and functional significance of determining biological age in women during the reproductive period by E. V. Kudryavtseva, D. A. Berezina, V. V. Bazarny, L. G. Polushina, M. А. Kopenkin, A. N. Troitskaya, V. V. Kovalev

“…Seventy-eight parameters were analyzed, including anamnesis data, anthropometric parameters, data of general blood test, biochemical blood test, instrumental studies, assessment of overall antioxidant status (ОAS), from which the most informative variables were selected. The model was developed using multiple linear regression.Results. …”
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