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521
Transpiration and Water Use Efficiency of Mediterranean <i>Eucalyptus</i> Genotypes Under Contrasting Irrigation Regimes
Published 2025-07-01“…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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522
The Effect of value added in the Air Transport Industry on the employment of that sector
Published 2021-11-01“…Result of the long term model estimation shows that the estimated coefficients for the variables (value added, wage and capital price) are statistically meaningful and their values are 0.16, 0.62 and -0.23, respectively.…”
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523
Optimizing Energy and Spectral Efficiency in Mobile Networks: A Comprehensive Energy Sustainability Framework for Network Operators
Published 2025-01-01“…An additional analysis, based on domain expertise, provided evidence of potential causal relationships between the class and observed variables involving channel quality, Multiple Input Multiple Output (MIMO) utilisation, network topology and energy-saving functionalities. …”
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524
Probability calculation of building structures considering asymmetry of random values and functions distribution
Published 2020-11-01“…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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525
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526
METHODOLOGY FOR ACCOUNTING THE INFLUENCE OF METEOROLOGICAL FACTORS ON THE EFFICIENCY OF APPLICATION OF UNMANNED AERIAL VEHICLES ON THE BASIS OF SYSTEM ANALYSIS
Published 2018-12-01“…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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527
Enhancing Process Efficiency in Industry Through Statistical Process Control: Study of Aspartyl Phenylalanine Methyl Ester
Published 2025-06-01“…SPC facilitates the identification of deviations from established specifications, thereby minimizing process variability and waste, and ultimately enhancing customer satisfaction. …”
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528
Measurement and analysis of technical efficiency in the production of wheat and barley crops in Erbil Governorate for the agricultural season 2020-2021
Published 2022-03-01“…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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529
Correlation and path analysis of interaction between snap beans yield and its components with crop management
Published 2021-03-01“…Results showed that fresh weight of pod/studied variant (+++0.99), fresh weight of one pod (+++0.77), fresh weight of pods/ plant (+++0.67), calcium content in bean pods (++0.57), pods number /plant (++0.51), pollen fertility (++0.44) had positive impact on yield. The partial function of the studied parameters on variability of bean yield is 98.9%. …”
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530
On a geometric approach to the estimation of interpolation projectors
Published 2023-09-01“…Here $\sigma S$ is the result of homothety of $S$ with respect to the center of gravity with coefficient $\sigma$. Let $d\geqslant n+1,$ $\varphi_1(x),\ldots,\varphi_d(x)$ be linearly independent monomials in $n$ variables, and $\varphi_1(x)\equiv 1,$ $\varphi_2(x)=x_1,\ \ldots, \varphi_{n+1}(x)=x_n.$ Put $\Pi:=$lin$(\varphi_1,\ldots,\varphi_d).$ The interpolation projector $P: C(\Omega)\to \Pi$ with a set of nodes $x^{(1)},\ldots, x^{(d)} \in \Omega$ is defined by equalities $Pf\left(x^{(j)}\right)=f\left(x^{(j)}\right).$ Denote by $\|P\|_{\Omega}$ the norm of $P$ as an operator from $C(\Omega)$ to $C(\Omega)$ . …”
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531
ESTIMATING AND ANALYSING OF DEMAND FUNCTION FOR POULTRY IN IRAQ ROR THE PERIOD (1990 - 2009)
Published 2019-08-01“…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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532
Multi-Static Radar System Deployment Within a Non-Connected Region Utilising Particle Swarm Optimization
Published 2024-10-01“…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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533
Lightweight deep learning system for automated bone age assessment in Chinese children: enhancing clinical efficiency and diagnostic accuracy
Published 2025-07-01“…The second stage employs a modified EfficientNetB3 architecture for fine-grained epiphyseal grade classification, enhanced by the Rectified Adam (RAdam) optimizer and a composite loss function combining center loss and weighted cross-entropy to mitigate class imbalance. …”
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534
Multi-Dimensional Analytic Functions for Laplace Equations and Generalized Cauchy–Riemann Equations
Published 2025-04-01“…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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535
Employment of a Radial Basis Function Model for Predicting the Heating Load of Construction
Published 2025-04-01“…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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536
Non-parametric calibration estimation of distribution function under stratified random sampling
Published 2025-02-01“…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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537
STOCHASTIC FRONTIER PRODUCTION FUNCTION: AN APPLICATION TO ANKARA MOHAIR GOAT FARMING SYSTEM
Published 2020-01-01“…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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538
Induction Motor Geometric Parameter Optimization Using a Metaheuristic Optimization Method for High-Efficiency Motor Design
Published 2025-02-01“…Ten motor design parameters were used as design variables. IM efficiency was improved, as the objective function. …”
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539
Assessment of the functioning of the photosynthetic apparatus of Olea europaea L. under freezing temperatures
Published 2025-02-01“…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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540
Brain functional connectivity analysis of fMRI-based Alzheimer's disease data
Published 2025-02-01“…Distinguishing AD stages remains a complex process due to ambiguous variability within and across AD stages. Manual classification of such multifaceted and massive data of brain volumes is operationally inefficient and vulnerable to human errors. …”
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