The Parameters of Cleaning a CIP System Affected Energy Consumption and Cleaning Efficiency of the Plate Heat Exchanger by Piepiórka-Stepuk Joanna, Diakun Jarosław, Jakubowski Marek

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Long-term mean climate and seasonal variability drive spatial patterns of forage production fluctuation trends across California annual grasslands by Zheng Li, Leslie M Roche, Steven Ostoja, Yufang Jin

“…Forage production is integral to the ecological and economic functions of rangeland ecosystems worldwide and is characteristically highly variable. …”
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Study of kinetic performance effect on wheel and rail wear using computer simulation by Lev I. Evelson, Evgeny A. Pamfilov, Alexander G. Tsygankov, Ludmila I. Shiryaeva

“…Under some conditions, there are cases when an increase in the friction coefficient is accompanied by a decrease in depreciation. …”
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Productive wetlands restored for carbon sequestration quickly become net CO2 sinks with site-level factors driving uptake variability. by Alex C Valach, Kuno Kasak, Kyle S Hemes, Tyler L Anthony, Iryna Dronova, Sophie Taddeo, Whendee L Silver, Daphne Szutu, Joseph Verfaillie, Dennis D Baldocchi

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EFFECTS OF ISOKINETIC RESISTANCE TRAINING ON STRENGTH KNEE STABILIZERS AND PERFORMANCE EFFICIENCY OF ACROBATIC ELEMENTS IN ARTISTIC GYMNASTICS by Muhamed Tabaković, Almir Atiković, Elvir Kazazović, Senad Turković

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Differential Transform Algorithm for Functional Differential Equations with Time-Dependent Delays by Josef Rebenda, Zuzana Pátíková

“…We focus on retarded equations with delays which in general are functions of the independent variable. The delayed differential equation is turned into an ordinary differential equation using the method of steps. …”
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Cross-subject affective analysis based on dynamic brain functional networks by Lifeng You, Tianyu Zhong, Erheng He, Xuejie Liu, Qinghua Zhong

“…However, due to inter-subject variability and non-smoothness of EEG signals, the generalization performance of models across subjects remains a challenge.MethodsIn this study, we proposed a novel approach that combines time-frequency analysis and brain functional networks to construct dynamic brain functional networks using sliding time windows. …”
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A Versatile Distribution Based on the Incomplete Gamma Function: Characterization and Applications by Jimmy Reyes, Carolina Marchant, Karol I. Santoro, Yuri A. Iriarte

“…We analyze the probability density function and explore fundamental properties, including moments, skewness, and kurtosis coefficients. …”
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Comparative Analysis of Transfer Function Method with Advanced Flood Prediction Techniques by Jafar Chabokpour

“…This now leads to a maximum Nash-Sutcliffe Efficiency of 0.91 for the Saint-Venant equations during the 2019 flood event, followed by ANN with 0.89, ANFIS with 0.87, SVM with 0.85, and lastly, Transfer Function with 0.78. …”
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Fuzzy Logic Technique Based on Classification Function Application in Quality Control by Salman Hussien Omran, Salam Waley Shneen, Batool Ibrahim Jameel, Omar Hassoon, Mohammed A. Fayad, Firas Basim Ismail

“…Fuzzy control charts were used to quickly and accurately identify the production specifications and efficiency. This work uses the triangle membership function to generate fuzzy numbers, which are then transformed into quality control charts for the real data obtained using the proposed ranking function. …”
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Novel Pythagorean fuzzy score function to optimize fuzzy transportation models by Ritu, Tarun Kumar, Jahnvi, Kapil Kumar, Nitesh Dhiman, M.K. Sharma

“…Through comprehensive numerical analysis, In Type-1 IVPFTP the cost dropped from 5.19 to 0.675, for Type-2 IVPFTP cost dropped from 0.2615 to 0.001869 and for Type-3 IVPFTP cost dropped from0.17435 to 0.0013879.Thereafter, it was observed that the proposed score function provides a more optimal transportation cost.Also, our findings demonstrate the significant cost reductions and improved decision-making capabilities across different types of IVPFTP models to highlight the efficiency of the proposed score function in handling uncertainty within the transportation problems.…”
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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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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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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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Correlation between neutrophil to lymphocyte ratio and early renal function level in elderly diabetic patients by SUN Ming-yu, GAO Po, ZHANG Shi-yang, HAN Yong-sheng

“…Logistic regression analysis was used to evaluate the effect of each confounding factor on eGFR using eGFR as an objective variable. Pearson’s correlation coefficients were used to test the associations between various variables and eGFR. …”
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The stability of the SARS-COV-2 structure in the presence of variable external heat flux in the vicinity of the water/silver nanofluid: A molecular dynamics simulation by Dongfang Wu, Ali B.M. Ali, Abrar A. Mohammed, As'ad Alizadeh, Soheil Salahshour, M. Hashemian, MengXia Wang

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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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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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