An Efficient Petrov–Galerkin Scheme for the Euler–Bernoulli Beam Equation via Second-Kind Chebyshev Polynomials by Youssri Hassan Youssri, Waleed Mohamed Abd-Elhameed, Amr Ahmed Elmasry, Ahmed Gamal Atta

“…To make PGM application easier, explicit formulas for the inner product between these basis functions and their derivatives with second-kind Chebyshev polynomials are derived. …”
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Enhancing energy efficiency and cpu utilization in edge computing through deep learning-based data smoothing by Himabindu Sathyaveti, C. Gomathy

“…Proper training and inference occur in resource-limited settings for SOResNet, thanks to combining learning rate variables and different loss functions. Compared to the conventional method, SOResNet data smoothing saves 2 % of CPU, 2.5 % of electricity and 3 % in energy overhead. …”
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Efficient discovery of large magnetic anisotropy with thermodynamically stable materials via multi-objective Bayesian optimization by Kohei Nakamura, Daigo Furuya, Yoshio Miura, Takahiro Yamazaki, Alexandre Lira Foggiatto, Yuma Iwasaki, Masato Kotsugi

“…This study presents an efficient magnetic material exploring method with large magnetocrystalline anisotropy (MCA) and thermodynamic stability by combining multi-objective Bayesian optimization (MBO) with first-principles calculations. …”
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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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Distribution Formulae of the Solute in Transport of Advection-Dispersion of Air Pollution for Different Wind Velocities and Dispersion Coefficients by Frederic Ayant, Hemant Kumar, M Pathan

“…In this paper, we obtain certain distribution formulae of the solute in transport of the typical advection-dispersion of air pollution through separation in two-dimensional space variables by introducing different wind velocities and dispersion coefficients. …”
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Dynamic Response Analysis of Asphalt Pavement under Pavement-Unevenness Excitation by Heng Liu, Xiaoge Liu, Ankang Wei, Yingchun Cai

“…This paper investigates and analyzes the dynamic response of asphalt pavement under pavement-unevenness excitation based on an orthogonal vector function system and efficient DVP (dual variable and position) method. …”
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Long-Term Teleconnections Between Global Circulation Patterns and Interannual Variability of Surface Air Temperature over Kingdom of Saudi Arabia by Abdullkarim K. Almaashi, Hosny M. Hasanean, Abdulhaleem H. Labban

“…The empirical orthogonal function (EOF) method is employed for analyzing SAT due to its effectiveness in extracting dominant patterns of variability during the winter (DJF) and summer (JJA) seasons. …”
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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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Efficient Solar Cell Design through Grey Wolf Optimization: Multi-Layer Thickness Optimization for Enhanced Short-Circuit Current Density by Hamed Kargaran, Hassan Alipour, Maryam Amirhoseiny, Ghasem Alahyarizadeh

“…Optimization problems can be classified as discrete or continuous, depending on the nature of the decision variables. Using continuous algorithms for problems that are inher-ently discrete can pose challenges in achieving optimal efficiency. …”
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Review on velocity slip with thermal features of irregular heat transport enhancement of hybrid nanofluids by Mudassar Qamar, Masood Khan, Muhammad Yasir, A.S. Shflot, M.Y. Malik

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Characterizing the effects of age, puberty, and sex on variability in resting-state functional connectivity in late childhood and early adolescence by Kelly A. Duffy, Andrea Wiglesworth, Donovan J. Roediger, Ellery Island, Bryon A. Mueller, Monica Luciana, Bonnie Klimes-Dougan, Kathryn R. Cullen, Mark B. Fiecas

“…We found decreased variability in global efficiency across the age range, and increased variability within the frontolimbic network driven primarily by those assigned female at birth (AFAB). …”
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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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The constrained-disorder principle defines the functions of systems in nature by Yaron Ilan

“…The Constrained Disorder Principle (CDP) defines all systems in nature by their degree of inherent variability. Per the CDP, the intrinsic variability is mandatory for their proper function and is dynamically changed based on pressures. …”
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Two-Dimensional Probability Models for the Weighted Discretized Fréchet–Weibull Random Variable with Min–Max Operators: Mathematical Theory and Statistical Goodness-of-Fit Analysis... by Sofian T. Obeidat, Diksha Das, Mohamed S. Eliwa, Bhanita Das, Partha Jyoti Hazarika, Wael W. Mohammed

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On empirical Bayes estimation of multivariate regression coefficient by R. J. Karunamuni, L. Wei

“…We investigate the empirical Bayes estimation problem of multivariate regression coefficients under squared error loss function. In particular, we consider the regression model Y=Xβ+ε, where Y is an m-vector of observations, X is a known m×k matrix, β is an unknown k-vector, and ε is an m-vector of unobservable random variables. …”
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Influence of Tokar Gap wind jet on latent heat flux of Central Red Sea: empirical orthogonal function approach by Jamaan A. Turki, Abdullah M. Al-Subh, Fawaz Madah

“…The empirical orthogonal functions (EOF) analysis method was used to determine the modes of LHF variabilities. …”
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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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An efficient dynamic reliability method for maglev vehicle-bridge systems and its application in random controller parameters analysis by Lidong Wang, Qingrong Li, Xun Zhang, Xiumeng Bu, Peng Hu, Yan Han

“…Next, an adaptive surrogate model of the equivalent extreme value of the system dynamic response is established by combining an adaptive sampling method with radial basis functions. Finally, the adaptive surrogate model and PDEM are combined to further improve the efficiency of the dynamic reliability analysis. …”
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An analysis of agricultural production efficiency of Yellow River Basin based on a three-stage DEA Malmquist model by Xiejun Cheng, Jinxin Bian, Dongmei He, Decai Tang

“…Abstract Agriculture functions as the cornerstone of national development, and the Yellow River Basin (YRB) plays a crucial role in China’s economy. …”
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Consumptive Water Use and Efficiency of Irrigated U.S. Corn: Learning From Hundreds of Site‐Management‐Year Observations by Meetpal S. Kukal

“…With the largest water footprint, irrigated corn production in the U.S. must be assessed for its ETc and water use efficiency (WUE) at a scale meaningful for producers and water managers. …”
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