Spatiotemporal Change Analysis and Multi-Scenario Modeling of Ecosystem Service Values: A Case Study of the Beijing-Tianjin-Hebei Urban Agglomeration, China by Jing Duan, Pu Shi, Yuanyuan Yang, Dongyan Wang

“…Next, the changes to ESV under various scenarios were investigated through the equivalent coefficient method. In order to make more targeted recommendations for regional development, the study also used hotspot analyses to explore the impacts of LUCs on ESV. …”
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Principles of research of soil ped deformation at interaction with machine working element by V. I. Kravchuk, V. P. Davydyuk

“…Research of systems of analytical models of the second order with variable coefficients in partial derivatives with a set of input and output parameters can be effectively realized by numerical methods with use of the special varargin and varargout functions. …”
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Percepción de la relación deporte-política desde las funciones de la economía política (Perception of the sport-politics relationship from the functions of political economy) by José Ramón Sanabria Navarro, Yahilina Silveira Pérez, William Alejandro Niebles Núñez

“…Quantitative research was using a sample of 321 persons the sports sector in the departments of Córdoba and Sucre in Colombia. The measured variables included functions of political economy, production relationships, means of production, and productive forces associated with the sports sector. …”
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Intrarater reliability of the Abilitator—a self-report questionnaire on work ability and functioning aimed at the population in a weak labour market position: a test–retest study... by Anne Kouvonen, Matti Joensuu, Miia Wikström

“…A statistically significant difference was observed in the summary scale for social functioning (t=−2.01, p=0.049). Agreement was observed for all variables except social functioning. …”
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Day-Ahead Planning and Scheduling of Wind/Storage Systems Based on Multi-Scenario Generation and Conditional Value-at-Risk by Jianhong Zhu, Shaoxuan Chen, Caoyang Ji

“…The initial <i>SOC</i> of the storage system is introduced as a decision variable to enable flexible and efficient coordinated scheduling of the wind/storage system. …”
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Development of a cyclone separator for particulate matter control in fique bag production: A case study at Empaques del Cauca S.A. by Johana Astudillo Gutierrez, Jhon Alexander Guerrero Narvaez, Diego Andres Campo Ceballos, Javier Andres Muñoz Chaves

“…Both materials effectively eject zero particles per second into the air and collect the particles in the collector condenser with variable velocity profiles. In the case of the stainless-steel design, a marginal increase in particle collection is observed at specific velocity profiles, highlighting its overall efficiency. …”
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qBiCo: a method to assess global DNA conversion performance in epigenetics via single-copy genes and repetitive elements by Faidra Karkala, Roy B. Simons, Floor Claessens, Vivian Kalamara, Manfred Kayser, Athina Vidaki

“…Depending on the starting DNA quantity, bisulfite-converted DNA recoveries ranged from 8.5 to 100%, conversion efficiencies from 78 to 99.9%, while certain kits highly fragment DNA, demonstrating large variability in their performance. …”
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Predicting and Controlling Multiple Transmissions of Rotavirus Using Computational Biomedical Model in Smart Health Infrastructures by Titus Ifeanyi Chinebu, Kennedy Chinedu Okafor, Omowunmi Mary Longe, Kelvin Anoh, Henrietta Onyinye Uzoeto, Victor Onukwube Apeh, Ijeoma Peace Okafor, Bamidele Adebisi, Chukwunenye Anthony Okoronkwo

“…An efficiency test is conducted using RI control parameters B and V. …”
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A reliability model to predict failure behaviour of overlying strata in groundwater-rich coal mine by Ruirui Li, Xiaowei Hou, Luwang Chen, Yingxin Wang, Fuyou Huang, Lanting Wang

“…Rock strength parameters, including cohesion, internal friction angle, uniaxial tensile strength, and softening coefficient, are treated as random variables to determine the rock failure uncertainty. …”
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A Novel Approach to Transient Fourier Analysis for Electrical Engineering Applications by Mariana Beňová, Branislav Dobrucký, Jozef Šedo, Michal Praženica, Roman Koňarik, Juraj Šimko, Martin Kuchař

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Three-dimensional design, simulation and optimization of a centrifugal compressor impeller with double-splitter blades by Mohammadjavad Tasharrofi, Mojtaba Heidarian Shahri, Ali Madadi

“…Since the optimization process only using genetic algorithms is very time-consuming and has high computational costs, artificial neural networks were used to reduce costs. The objective function in this optimization process was to increase efficiency while maintaining the flow rate and pressure ratio at the design point. …”
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MULTI-OBJECTIVE OPTIMIZATION OF VEHICLE/TRACK PARAMETERS BASED ON RBF NEURAL NETWORK SURROGATE MODEL by XIAO Qian, LUO Chao, OUYANG ZhiXu, CHANG Chao, LUO JiaWen

“…The RBF（ Radial Basis Function） neural network surrogate model that employed to explore the multi-objective optimization problems of vehicle and track parameters is to improve the dynamic performance of vehicles. …”
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Sensitivity Analysis of Distribution Network Reconfiguration Optimization for Electric Vehicle and Renewable Distributed Generator Integration by Mahmoud Ghofrani

“…This approach aims to minimize power losses and enhance overall operational efficiency. To model the variability of wind and solar DGs, probability distribution functions (PDFs) are employed, which allow for a more accurate representation of their performance. …”
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Defining the logistics performance as factor of production: an evidence based analysis from developing countries by Zunaira Khadim, Irem Batool, Minhas Akbar, Veronika Zidova, Asokan Vasudevan, Jin Zhang

“…The other control variables are capital stock, employed labor force, and financial development. …”
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Multifractal analysis of Bitcoin price dynamics by Cristian Bucur, Bogdan-George Tudorică, Adela Bâra, Simona-Vasilica Oprea

“… This research employs Multifractal Detrended Fluctuation Analysis (MFDFA) to investigate multifractal properties in financial variables, including Bitcoin prices and economic indicators. …”
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Optimization of MXene-based aqueous ionic liquids for solar systems using conventional and AI-based techniques by Mohamed Bechir Ben Hamida, Ali B. M. Ali, Narinderjit Singh Sawaran Singh, Loghman Mostafa

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Internal Benchmarking of Thermal Power Plants оf Electric Power Systems by E. M. Farhadzadeh, A. Z. Muradaliyev, Y. Z. Farzaliyev, U. K. Ashurova

“…A necessary condition for the feasibility of using these or those integral indicators is their functional and statistical independence. The results of the studies performed using the simulation method made it possible to establish that the smallest correlation occurs between the integral indicator calculated as the arithmetic mean of random variables and the integral indicator calculated as the coefficient of variation of the same random variables. …”
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Experimental investigation of solar PVT collector with the dryer on mass and temperature of dried red chili with Machine Learning Models by Miroslav Mahdal, K. Rajathi, Muniyandy Elangovan, Prabhukumar Sellamuthu, Amit Verma

“…Machine learning (ML) models, namely the Multilayer Perceptron (MLP), Radial Basis Function (RBF), and Decision Tree (DT), were used to forecast the temperature and mass dryness variables.The RBF model showed the best performance with 0.98, 0.95, and 0.92 for temperature dryness, above MLP and DM. …”
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A Focusing Algorithm in Automatic Microscope by LIANG Long-kai, ZHAO Jing, HE Yong-jun

“…Then the proposed evaluation functions are applied to realize the variable step climbing search strategy． …”
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A Comparative Study of Banking Sectors of Pakistan and India: An Application of Data Envelopment Analysis by Aamir Shahzad, Tahir Mahmood, Mehwish Shahzad

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