CYTOKINE-PRODUCING FUNCTION OF IMMUNOCOMPETENT BLOOD CELLS AND ITS INTERRELATIONS WITH HEPARANASE-1 EXPRESSION IN GASTRIC CARCINOGENESIS by A. V. Vankhalsky, S. A. Arkhipov, S. V. Aidagulova, E. S. Mikhailova, N. A. Varaksin, A. I. Autenshlyus

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OPTIMAL ESTIMATION OF RANDOM PROCESSES ON THE CRITERION OF MAXIMUM A POSTERIORI PROBABILITY by A. A. Lobaty, Y. F. Yacina, N. N. Arefiev

“…This makes it possible to obtain a mathematical expression for the residual function, which characterizes the deviation of the actual measurement process from its mathematical model.To determine the optimal a posteriori estimation of the state vector is given by the assumption that this estimate is consistent with its expectation – the maximum a posteriori probability density. …”
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A Malmquist fuzzy data envelopment analysis model for performance evaluation of rural healthcare systems by Vishal Chaubey, Deena Sunil Sharanappa, Kshitish Kumar Mohanta, Rajkumar Verma

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An Extreme Learning Machine Based on the Mixed Kernel Function of Triangular Kernel and Generalized Hermite Dirichlet Kernel by Senyue Zhang, Wenan Tan

“…Then, the learning methodology of the extreme learning machine based on the proposed kernel function was presented. The biggest advantage of the proposed kernel is its kernel parameter values only chosen in the natural numbers, which thus can greatly shorten the computational time of parameter optimization and retain more of its sample data structure information. …”
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Cardio-Respiratory, Functional and Antalgic Effects of the Integrated Thermal Care Protocol After Breast Cancer Surgery by Giovanni Barassi, Stefania Spina, Francesco D’Alessandro, Loris Prosperi, Celeste Marinucci, Massimo Lombardi, Maurizio Panunzio, Andrea Santamato

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Assessment of the accuracy of heavy aircraft control, taking into account the functioning of the indicator on the windshield and flight control actuators by A. A. Malchenko, P. S. Kostin, Ya. G. Khatuntsev

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Heptafluorobutyronitrile (C4F7N), Hydrolysis, a Density Functional Theory (DFT) Investigation by Muhammad Bilal Arif, Christophe Coquelet, Frank Jacquier, Carlo Adamo, Maxime Lacuve, Rachel Calvet

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Spatial Information of Somatosensory Stimuli in the Brain: Multivariate Pattern Analysis of Functional Magnetic Resonance Imaging Data by In-Seon Lee, Won-mo Jung, Hi-Joon Park, Younbyoung Chae

“…We performed multivariate pattern analysis (MVPA) using parameter estimate images of each trial for each participant and the support vector classifier (SVC) function, and the prediction accuracy and other MVPA outcomes were evaluated using stratified five-fold cross validation. …”
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An association rule-based approach for frequent item mining of multi-stage access data by Silong Wu

“…Experiments have shown that this method can effectively mine frequent items in multi-stage access data, and the Pearson coefficient of frequent items mined by this method is close to 1, that is, the mining accuracy of frequent items is high; at different minimum weighted supports, this method has multi-stage comprehensive evaluation function value of mining frequent items in access data is higher, that is, the mining effect of frequent items is better.…”
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How can food system actors influence food system resilience? A literature review via an actor-based lens by Jing Zhang, David Tyfield, Lingxuan Liu

“…Actor influence is also shaped by geographic location and position within the value chain, which affect their access to resources and ability to respond. …”
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Life cycle CO2 emissions of various transformers under different scenarios with multiple functional units by Chao Liu, Bo Miao, Shu-Zhen Li, Wan-Shui Yu, Qiu-Jie Yuan, Yu-Wei Cao, Yang Yu, Qing Yang

“…Carbon emission varies remarkably based on the choice of the functional unit, with values of 6955.40 kg CO2eq/MVA, 9.83 kg CO2eq/(MVA kV), 81.08 kg CO2eq/(kW h) and 1.36 × 10−4 kg CO2eq/(MW h kV). …”
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BOLT LOOSENING ANGLE DETECTION METHOD BASED ON COLOR SEGMENTATION by KANG Jingjie, ZHANG Lijun, SUN Yuandong, YANG Xiaoyu, WANG Ruolan, ZHAO Tianhao

“…Finally, the bolt loosening angle was determined through the four-quadrant arctangent function. The results demonstrate that the precise measurement of the bolt loosening angle through a single frame image can be achieved by this detection algorithm, with a maximal relative error of 1.80%, its accuracy meets the needs of engineering practice and has strong engineering application value.…”
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Enhancing prosthetic hand control: A synergistic multi-channel electroencephalogram by Pooya Chanu Maibam, Dingyi Pei, Parthan Olikkal, Ramana Kumar Vinjamuri, Nayan M. Kakoty

“…However it is limited by the functionality of residual muscles and muscle fatigue. …”
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World-Systems Ground of Terrorist Threats: on the Issue of Methodology for Studying Armed Conflicts in the Post-Soviet Space by N. E. Lukyanov, A. A. Izgarskaya

“…The purpose of the article is to systematize the world-system prerequisites for terrorist threats, to show the place of terrorism within the theoretical structures of the movement of capital in the world-system and the maturation of contradictions in the functioning of its cycle.   Methodology and sources. …”
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A FORECASTING MODEL ON THE BASIS OF A FUZZY LEARNING SET by Yu. O. German, O. V. German

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Predicting seizure onset zones from interictal intracranial EEG using functional connectivity and machine learning by Jared Pilet, Scott A. Beardsley, Chad Carlson, Christopher T. Anderson, Candida Ustine, Sean Lew, Wade Mueller, Manoj Raghavan

“…Abstract Functional connectivity (FC) analyses of intracranial EEG (iEEG) signals can potentially improve the mapping of epileptic networks in drug-resistant focal epilepsy. …”
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The method of increasing the efficiency of the man-machine system functioning by improving the quality of decision support system software by О.В. Турінський, М.А. Павленко, Г.В. Пєвцов, С.В. Осієвський

“…The solutions obtained meet the requirements of DSTU ISO/IEC 9126, ISO DSTU / IEC 14598, and take into account the requirements of the Software Quality Requirements and Evaluation series of standards as the value of the vertices of the event tree graph. In the process of solving the problem, the specificity of the functioning of the MMS was taken into account, the possibility of formalizing various aspects of knowledge (aesthetic, disizional, causal, diontic) and ensuring a given level of efficiency in finding solutions.…”
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Prediction of grey mould disease from greenhouse tomato based on radical basis function neural network by Zhang Zhi, Hu Xiaohui, Zou Zhirong

“…Grey mould disease grade of tomato was target output, which was expressed by four node vectors to represent four grades. Input vectors had been pretreated with the normalization function “premnmx”. …”
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Self-Efficacy as a function of Work Engagement with the mediating role of Organizational Trust in Higher Educational Institutions. by Muhammad Adnan, Ather Ummad Khan, Raisham Hayee

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NONLINEAR NYBERG CONSTRUCTION TRANSFORMS OVER ISOMORPHIC REPRESENTATIONS OF FIELDS GALOIS by A. V. Sokolov, O. N. Zhdanov

“…As a criterion of nonlinearity, we measure the distances from the component many-valued functions to the set of Vilenkin–Chrestenson functions that are considered to be the most linear. …”
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