Dependence of the detected signal on the kinematic parameters of the satellite in the S-LIGO-E2R space system by I. P. Ohrymenko, Р. V. Petrov, N. N. Kolchevsky

“…The Republic of Belarus has experience in the development, launch and operation of satellites, the use of which can significantly increase the linear dimensions of the gravitational space detector. …”
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Inflammatory imbalance and activation deficits in T cells of myasthenia gravis patients revealed by proteomic profiling by Amol K. Bhandage, Anna Rostedt Punga

“…Despite growing interest in the immunological etiology of MG, few functional studies have addressed the role of T cells, and most existing work has focused on quantifying immune cell subsets using flow cytometry. …”
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The evolution of irreversible cell differentiation under cell death effect. by Yuanxiao Gao, Xueyan Zhao, Caixia Li

“…It has been found that differentiated cell types often show different death rates. …”
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Formation of the Pre-Pensioner Segment in the Labor Market: Financial and Management Aspects by L. A. Zhigun, E. V. Kamneva, M. V. Polevaya, S. Zappala

“…The authors use methods of statistical, correlation, and regression analyses, the calculation of the average for a certain integral of functions, as well as the method of linear modeling of multiple regression. …”
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RESEARCH OF INTERACTIONS BETWEEN SHEAR FRACTURES ON THE BASIS OF APPROXIMATE ANALYTICAL ELASTIC SOLUTIONS by Anastasia S. Lermontova, Yuri L. Rebetsky

“…A large amount of computation is required to yield a numerical solution for a case considering arbitrary numbers and locations of fractures, while this problem has important practical applications, such as assessment of the state of stress in seismically active regions, forecasts of secondary destruction impacts near systems of large faults, studies of reservoir properties of the territories comprising oil and gas provinces.In this study, an approximate estimation is obtained with the following simplification assumptions: (1) functions showing shear of fractures’ borders are determined similar to the shear function for a single fracture, and (2) boundary conditions for the fractures are specified in the integrated form as mean values along each fracture. …”
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Prediction of dust storm using artificial neural networks in Kermanshah by Toba Alizadeheh, Majid rezaie banafsh, Gholamreza Goodarzi, Hashem Rostamzadeh

“…Additionally, the results of the time series prediction using the ANFIS model showed that the linear bell membership function with grade 3, during both the training and testing stages, was the most effective input function among other membership functions. …”
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A practical solution for the state of charge estimation in lithium-ion batteries considering disturbance and errors in the measurement sensors by Omid Rezaei, Mohammad Bagher Menhaj, Iman Sharifi, Mohammad A. Khosravi

“…Using experimental tests for 2.4 Ah fresh and aged lithium battery, the effectiveness of the AHUIO is validated, and the results confirm that the AHUIO algorithm has an estimation error of 0.2 % and 0.42 % for both cells. …”
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Integrating Food Preference Profiling, Behavior Change Strategies, and Machine Learning for Cardiovascular Disease Prevention in a Personalized Nutrition Digital Health Interventio... by Hana Fitria Navratilova, Anthony David Whetton, Nophar Geifman

“…By making healthy eating more accessible and sustainable, the DHI has the potential to significantly impact public health outcomes.…”
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Penentuan Filterbank Wavelet Menggunakan Algoritma Mean Best Basis untuk Ekstraksi Ciri Sinyal Suara Ber-Noise by Abdurahim Abdurahim, Syahroni Hidayat

“…Each of them is the result of applying the daubechies db44 and db45 functions. Noise has no effect on the establishment of both the WPCC filterbanks. …”
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Dvoyetochiye [Colon]: A Historical-Linguistic Study by A. V. Ivanov

“…Employing methods of comparative, semantic, and historical-linguistic analysis, it establishes that the word dvoyetochiye [colon] has held a terminological status since its first recorded mention in textual sources in 1619. …”
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Modeling and computational study of cancer treatment with radiotherapy using real data. by Parvaiz Ahmad Naik, Muhammad Farman, Saba Jamil, Muhammad Umer Saleem, Kottakkaran Sooppy Nisar, Zhengxin Huang

“…Using the linear growth theory, the existence of a unique solution has been derived under the FFM. …”
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RQdeltaCT: an open-source R package for relative quantification of gene expression using delta Ct methods by Daniel Zalewski, Anna Bogucka-Kocka

“…Furthermore, the package offers functions that cover other essential steps of analysis, including importing datasets, multistep quality control of data, numerous visualisations, and enrichment of the standard workflow with additional analyses (correlation analysis, Receiver Operating Characteristic analysis, linear and logistic regression). …”
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Magnitude Modelling of HRTF Using Principal Component Analysis Applied to Complex Values by Oscar Alberto RAMOS, Fabián Carlos TOMMASINI

“…The HRTF log-magnitude is the most used format of input data to the PCA, but it has been shown that if the input data is HRTF linear magnitude, the cumulative variance converges faster, and the mean square error (MSE) is smaller. …”
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Dynamical Analysis and Optimization of Combined Vibration Isolator with Time Delay by Yaowei Wang, Xiangyu Li

“…Vibration control has long been a key concern in engineering, with low-frequency vibration isolation remaining particularly challenging. …”
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Increasing constraint of aridity on tree intrinsic water use efficiency by Mengjie Wang, Shushi Peng, Zihan Lu, Xiangtao Xu, Andrew Felton, Anping Chen

“…S W is defined as the slope in a linear regression of W against SPEI and is negative for most of the tree sites. …”
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Interferon Alpha Association with Neuromyelitis Optica by Nasrin Asgari, Anne Voss, Troels Steenstrup, Kirsten Ohm Kyvik, Egon Stenager, Soeren Thue Lillevang

“…Interferon-alpha (IFN-α) has immunoregulatory functions in autoimmune inflammatory diseases. …”
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Unveiling spatiotemporal evolution and driving factors of ecosystem service value: interpretable HGB-SHAP machine learning model by Xiangming Xu, Xinyi Zhang, Linghua Qin, Rui Li

“…Furthermore, the driving factors of ESV were explored using the explainable machine learning method.ResultsThe findings are as follows: (1) The net ESV of the Gangjiang Upstream Basin (GUB) has undergone a decline from 1990 to 2000, with climate regulation and hydrological regulation collectively accounting for approximately 50% of all functions. (2) A mere 0.69% of the areas exhibited an increase in the level of ESV, while 11.19% demonstrated a decline by 2020, based on the grid scale. …”
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STATISTICAL PROCESSING OF THE METEOROLOGICAL DATA FOR CONCLUSION ON THE PRESENCE OF THE TIME TRENDS by V. S. Mukha

“…The average yearly atmospheric temperature received from the measurements is approximated by the least square error method in the linear time dependence regression function. The linear time dependence regression function received in such a way has some positive growing (positive trend). …”
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On Some Problems for a Simplex and a Ball in Rⁿ by Mikhail V. Nevskii

“…Define \(\alpha(C;S)\) as the minimal \(\tau>0\) such that \(C\) is contained in a translate of \(\tau S\). Earlier the author has proved the equalities \(\xi(C;S)=(n+1)\max\limits_{1\leq j\leq n+1}\max\limits_{x\in C}(-\lambda_j(x))+1\)  (if \(C\not\subset S\)), \(\alpha(C;S)=\sum\limits_{j=1}^{n+1} \max\limits_{x\in C} (-\lambda_j(x))+1.\)Here \(\lambda_j\) are the linear functions that are called the basic Lagrange polynomials corresponding to \(S\). …”
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Assessment of the effectiveness and prospects for the development of the activities of the Ukrainian Chamber of Commerce in conditions of environmental uncertainty by O. M. Vinichenko, N. Yu. Naumenko, L. D. Harmider

“…In order to determine the impact of income and expenses on the efficiency of the operations of the Chamber of Commerce and Industry of Ukraine. A multiple linear regression model of the dependence of the financial result of the chamber on its income and expenses was developed. …”
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