Optimal selection of satellite XCO₂ images for urban CO₂ emission monitoring by A. Danjou, G. Broquet, A. Schuh, F.-M. Bréon, T. Lauvaux, T. Lauvaux

“…This study analyzes the performances of an automated method for estimating urban emissions as a function of the targeted cities and of the atmospheric conditions. …”
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Radiotherapy-induced fatigue in Palestinian breast cancer survivors by Hussein ALMasri, Omar Rimawi

“…Our purpose is to assess, compare, and correlate CRF in breast cancer survivors undergoing radiotherapy (RT) with study variables.Methods: CRF in breast cancer survivors was assessed using Functional Assessment of Chronic Illness Therapy – Fatigue Scale (FACIT-F) (version 4). …”
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Microbially‐Mediated Soil Carbon‐Nitrogen Dynamics in Response to Future Soil Moisture Change by Wanyu Li, Gangsheng Wang, Zirui Mu, Shanshan Qi, Shuhao Zhou, Daifeng Xiang

“…Furthermore, microbes and enzymes were key drivers of soil C‐N transformations, with soil enzymes displaying the highest correlation with SSI (nonlinear correlation coefficient based on mutual information = 0.81). This study establishes a foundational relationship between soil C‐N variables and soil moisture, accounting for lag effects, to enhance our understanding of the complex responses of these variables under future climate change scenarios.…”
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A Study of Some Properties of Fuzzy Laplace Transform with Their Applications in Solving the Second-Order Fuzzy Linear Partial Differential Equations by Elhassan Eljaoui, Said Melliani

“…Then, some properties dealing with the partial derivatives of fuzzy Laplace transform for a fuzzy function of two real variables have been proved. Afterwards, an algorithm of fuzzy Laplace transform for solving second-order fuzzy partial differential equations has been proposed. …”
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A robust deep learning approach for photovoltaic power forecasting based on feature selection and variational mode decomposition by Mokhtar Ali, Abdelkerim Souahlia, Abdelhalim Rabehi, Mawloud Guermoui, Ali Teta, Imad Eddine Tibermacine, Abdelaziz Rabehi, Mohamed Benghanem

“…To further enhance model inputs, Variational Mode Decomposition (VMD) is applied to extract informative Intrinsic Mode Functions (IMFs) from the selected features. A comparative evaluation of the models indicates that recurrent neural networks, particularly GRU and LSTM, deliver superior performance across various metrics, including RMSE, MAE, nRMSE, nMAE, R², and the correlation coefficient. …”
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PENGARUH MUTASI TERHADAP SEMANGAT KERJA PEGAWAI NEGERI SIPIL PADA KANTOR PELAYANAN PAJAK PRATAMA KOTA PEMATANG SIANTAR by Arnimisari Juliana Ambarita, Hatta Ridho

“…The data processed by the correlation coefficient and the determinant Moment Product to see the great influence of the variable X against Y variable. …”
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Mechatronic system for running-in and testing of mechanical transmissions in mining shovels by Sergey I. Malafeev, Alevtina A. Malafeeva, Vladimir I. Konyashin, Andrey A. Novgorodov

“…Interactive manual control, enabling the operator to verify the functionality and calibration of test bench components. 2. …”
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A nomogram for diagnosis of BI-RADS 4 breast nodules based on three-dimensional volume ultrasound by Xianping Jiang, Chen Chen, Jincao Yao, Liping Wang, Chen Yang, Wei Li, Di Ou, Zhiyan Jin, Yuanzhen Liu, Chanjuan Peng, Yifan Wang, Dong Xu

“…It can function as a relatively accurate predictive tool for sonographers and clinicians and is therefore clinically useful. …”
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Supply chain management and optimization in transportation logistics by Saoussen Krichen

“…</em></p><p><em>2)     </em><em>Unconstrained decision problems that consist of minimizing or maximizing a function. The main concern is the finding of the solution value that corresponds to the global optimum. …”
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An evolutionary-based optimization algorithm for truss sizing design by Pham Hoang Anh

“…Here, the constraints and objective function are treated separately so that both function and constraint evaluations can be saved. …”
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Stochastic demethylation and redundant epigenetic suppressive mechanisms generate highly heterogeneous responses to pharmacological DNA methyltransferase inhibition by Mie K. Jakobsen, Sofie Traynor, Aaraby Y. Nielsen, Christina Dahl, Mette Staehr, Simon T. Jakobsen, Maria S. Madsen, Rasmus Siersbaek, Mikkel G. Terp, Josefine B. Jensen, Christina B. Pedersen, Anup Shrestha, Jonathan R. Brewer, Pascal H. G. Duijf, Odd L. Gammelgaard, Henrik J. Ditzel, Alexei F. Kirkin, Per Guldberg, Morten F. Gjerstorff

“…Results We show that breast cancer tumors and cell cultures exhibit a highly heterogenous response to DNA methyltransferase inhibitors, persisting even under high drug concentrations and efficient DNA methyltransferase depletion. The observed variability in response to DNA methyltransferase inhibitors was independent of cancer-associated aberrations and clonal genetic diversity. …”
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Flow Characteristics of Distinctly Viscous Multilayered Intestinal Fluid Motion by S. K. Pandey, M. K. Chaube, Dharmendra Tripathi

“…The effects of power law index and viscosities on pressure across one wavelength, mechanical efficiency, and trapping are discussed numerically. …”
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A New Multi-Parametric MRI-Based Scoring System for Degenerative Cervical Myelopathy: The Severity on Imaging Myelopathy Score (SIMS) by Alexis Morgado, Julien Berthiller, Fabien Subtil, Donato Creatura, Gildas Patet, Nathalie André-Obadia, Cédric Yves Barrey

“…<b>Background/Objectives:</b> Degenerative cervical myelopathy (DCM) is the leading cause of functional disabilities of spinal origin in people over 50 years old. …”
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The reproducibility of 31-phosphorus MRS measures of muscle energetics at 3 Tesla in trained men. by Lindsay M Edwards, Damian J Tyler, Graham J Kemp, Renee M Dwyer, Andrew Johnson, Cameron J Holloway, Alan M Nevill, Kieran Clarke

“…Estimates of mitochondrial function were variable, but experimentally useful. …”
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Immunological Avalanches in Renal Immune Diseases by Davide Viggiano, Pietro Iulianiello, Antonio Mancini, Candida Iacuzzo, Luca Apicella, Renata Angela Di Pietro, Sarah Hamzeh, Giovanna Cacciola, Eugenio Lippiello, Andrea Gigliotti, Carmine Secondulfo, Giancarlo Bilancio, Giuseppe Gigliotti

“…Two distinct dynamic patterns emerged: large oscillations in eGFR, proteinuria, or biological age predicted declining function, while small oscillations indicated stability. …”
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Non-Similar Analysis of Boundary Layer Flow and Heat Transfer in Non-Newtonian Hybrid Nanofluid over a Cylinder with Viscous Dissipation Effects by Ahmed Zeeshan, Majeed Ahmad Yousif, Muhammad Imran Khan, Muhammad Amer Latif, Syed Shahzad Ali, Pshtiwan Othman Mohammed

“…Non-similar system of PDEs are obtained with efficient conversion variables. The dimensionless PDEs are truncated using a local non-similarity approach up to third level and numerical solution is evaluated using MATLAB built-in-function bvp4c. …”
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Structural network topologies are associated with deep brain stimulation outcomes in Meige syndrome by Bin Liu, Zhiqi Mao, Xinyuan Yan, Hang Yang, Junpeng Xu, Zhebin Feng, Yanyang Zhang, Xinguang Yu

“…The results indicated that HIG showed a higher clustering coefficient, longer characteristic path length, lower small-world index, and lower global efficiency compared with LIG. …”
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A simple model of the rheological curve of HPAM solutions at different temperatures by Eduar Pérez, Dario Alviso, Mauricio Carmona, Eduardo Manrique, Guillermo Artana

“…The solvent viscosity and relaxation time-employed as references to define these parameters-are functions of temperature. On the master surface, while the power coefficient of Carreau-Yasuda (n) exhibits only a slight dependency on temperature, the relative viscosity depends monotonically on this variable. …”
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Fuzzy System for the Quality Assessment of Educational Multimedia Edition Design by Vsevolod Senkivskyy, Liubomyr Sikora, Nataliia Lysa, Alona Kudriashova, Iryna Pikh

“…A multilevel model of fuzzy logical inference is constructed, representing the dependency between quality factors. Membership functions for linguistic variables are formed and their weight coefficients are determined using pairwise comparison matrices. …”
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Performance of Machine Learning Classifiers for Diabetes Prediction by Mijala Manandhar, Shaikat Baidya, Babalpreet Kaur, Katia Atoji

“…The dataset included 768 instances with nine attributes, where the target variable indicated whether a patient tested positive for diabetes. …”
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