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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Energy transfer aspects of chemically reactive Casson fluid between a conical gap of cone-disk system with multiple rotations by M. Qamar, M. Khan, A.S. Alqahtani, M.Y. Malik

“…Additionally, the magnetic field parameter shows an increasing trend for drag friction, while a reverse trend can be observed for heat transportation rate. …”
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Analytical Solution of the Closed-Form Equations Governing the Hybrid Performance of a Tuned Liquid Column Gas Damper Equipped With a Variable Orifice by Yousef Shiri, Jafar Keyvani, Seyed Hossein Hoseini Lavassani

“…In this research, the new hybrid damper; "tuned liquid column gas damper equipped with variable orifice (H-O-TLCGD)" is introduced. The dominant mechanism for confronting with vibration in this damper is based on liquid movement, and the vibration energy is dissipated by the effects of fluid turbulence and friction caused by the local pressure drop of the orifice opening. …”
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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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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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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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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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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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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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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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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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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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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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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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Efficient Explainable Models for Alzheimer’s Disease Classification with Feature Selection and Data Balancing Approach Using Ensemble Learning by Yogita Dubey, Aditya Bhongade, Prachi Palsodkar, Punit Fulzele

“…Clinical data, including a range of cognitive, functional, and demographic variables, play a crucial role in Alzheimer’s disease classification. …”
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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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Evaluating the efficiency of emergency operation centers during pandemics: a cross-sectional study with operational managers in Iran by Majid Sartipi, Majid Sartipi, Asiye Aminafshar, Asiye Aminafshar, Abdolrazzagh Pakzad, Mohammadreza Shafiei, Hojjat Farahmandnia, Asghar Tavan

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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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