Long-term use of nonsteroidal anti-inflammatory drugs for pain control in patients with osteoarthritis: results of the 12-month observational study AELITA (Analgesia: Effective Tre... by A. E. Karateev, E. Yu. Polishchuk, E. S. Filatova, A. S. Potapova, V. A. Nesterenko, V. N. Amirdzhanova

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Photovoltaic Module Fault Detection Technology Based on Remote Sensing Technology and Deeplabv3+ Model by Xiaowei Xu, Mingxian Liu, Yongjie Nie, Ke Wang, Wenhua Xu

“…The error of the improved K-means was mainly concentrated between 0.000 and 0.014, while the traditional K-means was mainly distributed between 0.022 and 0.051. …”
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An efficient iterative method for solving large linear systems by Ali Jamalian, Hossein Aminikhah

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Review of optimization modeling and solution of long-distance natural gas pipeline network by Peng ZHOU, Qi WEI

“…Presently, the modeling methods based on the physical attributes are mainly researched for the optimization model of natural gas pipeline networks in China. …”
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Pre-modulated multi-coset sampling system by Huang Zhen, Bai Zhengyao

“…At present, the compressed sampling system mainly includes three sampling system: random demodulator，modulated wideband converter and multi-coset sampling, among them, the system framework of multi-coset sampling is simple and has a high reconstruction success rate. …”
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A Heuristic Approach for the Nationwide Charging Station Location Problem for Intercity Trips by Yavuz Delice, Ayyuce Aydemir-Karadag, Halit Ozen

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Error Analysis and Compensation of 3‒PTT Parallel Robot by CHEN Mingfang, LIANG Hongjian, WEI Songpo, HE Chaoyin

“…Thus, the algorithm is more feasible. In addition, to improve the efficiency of the aforementioned error compensation algorithm, the standard particle swarm optimization algorithm is further enhanced by integrating the dynamic inertia weight value and dynamic learning factor, thus overcoming the problems of precocious convergence to a local optimum and slow convergence in the later iteration of the standard particle swarm optimization algorithm. …”
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THE MODERN APPROACH TO THE EDUCATIONAL PROCESS FOR DIAGNOSIS IN DENTISTRY by I.A. Ozhogan

“… In this work there are features of delivering the therapeutic dentistry students in dental faculties on the application of diagnostic algorithms to make a diagnosis. One of the main feature of education dentists is to diagnose a patient, ability to use the objective methods of examination and chose the additional and laboratory methods. …”
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THE EUROPEAN SOCIETY FOR CLINICAL AND ECONOMIC ASPECTS OF OSTEOPOROSIS AND OSTEOARTHRITIS (ESCEO) ALGORITHM FOR THE MANAGEMENT OF KNEE OSTEOARTHRITIS IS APPLICABLE TO RUSSIAN CLINI... by L. N. Denisov, E. S. Tsvetkova, G. Sh. Golubev, O. V. Bugrova, I. S. Dydykina, A. I. Dubikov, L. V. Menshikova, L. K. Peshekhonova, A. P. Rebrov, A. N. Torgashin, E. A. Trofimov, S. P. Yakupova, E. V. Zonova, O. Brewer, C. Cooper, J. Reginster, L. A. Knyazeva

“…Paracetamol may be added for rescue analgesia only, due to limited efficacy and increasing safety signals. …”
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PARAMETER OPTIMIZATION OF JC CONSTITUTIVE MODEL OF AL7050 ALLOY BASED ON OXLEY’S THEORY by WANG Yun, ZHANG ChangMing, ZHANG Yu

“…The JC constitutive model parameters of Al7050 alloy were obtained by using genetic algorithm and experimental data,and the JC constitutive model was verified by using cutting force as evaluation index. …”
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Adversarial attack and defense on graph neural networks: a survey by Jinyin CHEN, Dunjie ZHANG, Guohan HUANG, Xiang LIN, Liang BAO

“…For the numerous existing adversarial attack and defense methods on GNN, the main adversarial attack and defense algorithms of GNN were reviewed comprehensively, as well as robustness analysis techniques.Besides, the commonly used benchmark datasets and evaluation metrics in the security research of GNN were introduced.In conclusion, some insights on the future research direction of adversarial attacks and the trend of development were put forward.…”
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Vers un « État-automate » ? by Olessia Kirtchik, Francesca Musiani

“…Based on this hypothesis, this article aims to question the transformative potential of innovations linked to algorithms and AI for various professions in public administration. …”
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Exploring the use of mobile phone data for domestic tourism trip analysis by Maarten Vanhoof, Liane Hendrickx, Aare Puussaar, Gert Verstraeten, Thomas Ploetz, Zbigniew Smoreda

“…In this work, we discuss how an existing algorithm to extract long-distance trips from mobile phone data (Janzen et al., 2016 a,b) can be supplemented with man-made heuristics to arrive at plausible domestic tourism trips. …”
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Denoising and Voxelization for Finite Element Analysis: A Review by Sara Gonizzi Barsanti

“…For these objects, the most used process for the analyses involves NURBS models that may introduce an excessive level of approximation leading to wrong simulation results. …”
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Diagnostic accuracy of artificial intelligence algorithms to predict remove all macroscopic disease and survival rate after complete surgical cytoreduction in patients with ovarian... by Somayyeh Noei Teymoordash, Hoda Zendehdel, Ali Reza Norouzi, Mahdis Kashian

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Efficiency of Information Management and Analysis for Industrial Entrepreneurship by Irina Gontareva, Vitalina Babenko, Viktoriia Yevtushenko, Nataliia Voloshko, Yevgen Oliynyk

“…Information Management and Analysis (IMA) implies the single data and knowledge base of the business organization whose algorithm and software complex is designed to solve functional problems of operating and dispatch management, marketing, financial arrangements, accounting, strategic planning and organizing e-document flow between the sources and users of information. …”
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A systematic mapping to investigate the application of machine learning techniques in requirement engineering activities by Shoaib Hassan, Qianmu Li, Khursheed Aurangzeb, Affan Yasin, Javed Ali Khan, Muhammad Shahid Anwar

“…The authors aim to investigate the research trends, main RE activities, ML algorithms, and data sources that were studied during this period. …”
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Sistemnyy podkhod k postroeniyu ontologii dlya avtomatizatsii sostavleniya raspisaniya mnogourovnevogo vuza by Aleksey F. Rogachev, Dmitry S. Zakharov

“…In cases of significant amounts of input data, typical for a multilevel university, and a set of numerous constraints, the search for an acceptable solution may take a long time or may not be optimal. The paper presents the peculiarities of a multilevel university and considers a computerized approach to the construction of an ontological model for the automation of academic scheduling, used to optimize the process of its compilation. …”
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Evolutionary computation for bottom-up hypothesis generation on emotion and communication by Casper Hesp, Bram T. Heerebout, R. Hans Phaf

“…Through evolutionary computation, affective models may emerge autonomously in unanticipated ways. We explored whether core affect would be leveraged through communication with conspecifics (e.g. signalling danger or foraging opportunities). …”
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Bio inspired multi agent system for distributed power and interference management in MIMO OFDM networks by R. Kanmani, S. Mary Praveena

“…Results demonstrate that TCO-MAS outperformed conventional algorithms, achieving a 20% higher sum rate and 15% better energy efficiency under high-load conditions. …”
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