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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The influence of service information systems on strengthening competitiveness and efficiency of business of small and medium-sized enterprises (SMEs) by Dimitrijević Dragan, Dimitrijević Natalija, Adamović Živoslav

“…Service information systems with all their nuances-qualitative sociological, humanistic, cultural or human resources elements, generally include the entire business through their integrative functions, are easily adapted in a variable environment and eliminate spatial limitations and problems of dislocation of individual segments of the business process, and can be crucial in generating elements efficient business and strengthening the competitiveness of companies. …”
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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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Optimizing Energy and Spectral Efficiency in Mobile Networks: A Comprehensive Energy Sustainability Framework for Network Operators by Luis Mata, Marco Sousa, Pedro Vieira, Maria Paula Queluz, Antonio Rodrigues

“…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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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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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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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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Neuro-fuzzy control of bilateral teleoperation system with transmission timedelay and force feedback using Arduino Due board by Hakima Rahem, Rabah Mellah, Massinissa Zidane, Abdelhakim Saim

“…In order to demonstrate the efficiency, adaptability and advantages of ANFIS controller, several comparative experiments are carried out using different controllers (ANFIS, conventional PI and PI regulator with the modified wave variable method PI+MWVM). …”
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Weighted average ensemble for Cholesky-based covariance matrix estimation by Xiaoning Kang, Zhenguo Gao, Xi Liang, Xinwei Deng

“…Our key idea is to obtain different weights for different candidate estimates by minimizing an appropriate risk function with respect to the Frobenius norm. Different from the existing ensemble estimation based on the MCD, the proposed method provides a sparse weighting scheme such that one can distinguish which variable orderings employed in the MCD are useful for the ensemble matrix estimate. …”
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Lightweight deep learning system for automated bone age assessment in Chinese children: enhancing clinical efficiency and diagnostic accuracy by Pang Hai, Zhang Bin, Liu Kesheng, Li Cong, Xu Fei

“…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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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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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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Brain functional connectivity analysis of fMRI-based Alzheimer's disease data by Maitha S. Alarjani, Badar A. Almarri

“…The core of this framework discovers and analyzes functional connectivity among regions of interest (ROIs) of a human brain. …”
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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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Analysis of Bulk Queueing Model with Load Balancing and Vacation by Subramani Palani Niranjan, Suthanthiraraj Devi Latha, Sorin Vlase, Maria Luminita Scutaru

“…Cloud computing using power BI can be analyzed based on server load balancing. The function that determines the probability of the queue size at any given time is derived for the specified queueing model using the supplementary variable technique with the remaining time as the supplementary variable. …”
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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

“…We introduced an innovative kernel-based nonparametric estimator for the cumulative distribution function (CDF) in finite populations, addressing the critical need to evaluate the proportion of values in a target variable that are less than or equal to specific thresholds. …”
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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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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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Velocity-Based Curve Differential Repeated Sprinting Training: A Novel Approach to Shape Physical Performance in Young Basketball Players by Jorge Arede, Jack Wells, Mark Williams, Franc Garcia, Wolfgang Schöllhorn

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Development of empirical correlations for sustainable breakup characterization of water and high-viscous oil sheets under acoustic perturbations using high-speed imaging by Aman Singh, Devesh T, Subhash K, Preetam Polavarapu, Jayakrishnan Rahul, Karthick S, Balaji K

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