An Improved Lagrange Particle Swarm Optimization Algorithm and Its Application in Multiple Fault Diagnosis by Xiaofeng Lv, Deyun Zhou, Ling Ma, Yuyuan Zhang, Yongchuan Tang

“…The fault rate in equipment increases significantly along with the service life of the equipment, especially for multiple fault. …”
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Pinna anthropometry in sex estimation: a machine learning-based approach by Emre Söylemez, Suna Tokgöz Yılmaz

“…The pinna of these individuals were measured in eight different parts using a digital calliper. The data, which differed by sex, were processed in eight different machine-learning algorithms. …”
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Evaluation of Mechanical Properties Considering Uncertainties for Hairpin Coils in Electric Vehicle Motor Manufacturing by Young-Dae Shim, Jihun Kim, Changhyeon Kim, Jihyun Park, Dong-Wook Yang, Eun-Ho Lee

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Acceptability of Components for a Mandatory Quality Improvement Framework: A Survey Among Swiss General Practitioners by David Wirth, Oliver Senn, Jakob M. Burgstaller, Sima Djalali, Leander Muheim, Adrian Rohrbasser, Joel Lehmann, Stefan Markun

“…Among these were QIs pertaining to structures and processes of care (rated as acceptable by 58.3%-83.4%) and sharing QI achievement data with peers from different group practices and physician networks (53.9%-92.2%). …”
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Effectivity of Walking Epidural Analgesia in Normal Labor to Reduce Labor Pain and Improve Neonatal Outcome by Theresia Monica Rahardjo, Aloysius Suryawan, Ursula Jovanka Natasya Yusran, Alfonsus Zeus Suryawan

“…Fetal outcome was also notably great after labour process and usage of epidural could decrease the risk of fetal acidemia and distress which reduce caesarean section rate. …”
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A study of optimal control approaches of water-to-water CO2 heat pump for domestic hot water use by Yantong Li, Natasa Nord, Huibin Yin, Gechuanqi Pan, Changhong Wang, Tingting Wu, Inge Håvard Rekstad

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Medication errors in community pharmacies: a systematic review of the international literature. by Maguy Saffouh El Hajj, Rayah Asiri, Andy Husband, Adam Todd

“…Studies were selected through a rigorous screening process. Data extraction and quality assessment were carried out using structured tools. …”
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Construction and scheduling optimization of renewable energy consumption forecasting system for twisted tire porcelain manufacturing industry based on deep learning by Fangrong Liao, Runlin Ran, Jiayi Zhang

“…After the algorithm is trained on GPU many times, the obtained optimal model is tested many times in the above data set, with an accuracy rate of 90.2% and a speed of 66 frames per second. …”
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From Molecules to Medicines: The Role of AI-Driven Drug Discovery Against Alzheimer’s Disease and Other Neurological Disorders by Mashael A. Alghamdi

“…Artificial intelligence (AI) tools are of considerable interest in modern drug discovery processes and, by exploiting machine learning (ML) algorithms and deep learning (DL) tools, as well as data analytics, can expedite the identification of new drug targets and potential lead molecules. …”
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Use of Adaptive Supporting Ventilation after Cardiac Surgery under Extracorporeal Circulation by Z. Z. Nadiradze, Yu. A. Bakhareva, O. V. Ryzhkov

“…According to the scheduled exclusion criteria, the data of 11 subjects (6 from the study group and 5 from the control one) were not processed. …”
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Dietary Patterns of Serbian Adults 10–74 Years Old: Serbian National Food Consumption Survey Following EU Menu Methodology by Jelena Milešević, Milica Zeković, Ivana Šarac, Marija Knez, Irena Krga, Vuk Stevanović, Mirjana Gurinović

“…The advanced nutritional software, Diet Assess and Plan (DAP), was applied for data storage, processing, and reporting, while the Serbian Food composition database was used as a resource for food composition information of the foods and recipes consumed in the survey. …”
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Outpatient Clinic of Russian Red Cross in Berlin in 1920s —1930s by K. D. Kotelnikov

“…The statistics of the clinic are presented with data on the ethnic composition of Russian Berlin (the most representative of the known ones), the aging of emigration in Germany, and the low birth rate in the 1930s and the spread of poverty associated with the Great Depression.…”
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Bézier Cubics and Neural Network Agreement along a Moderate Geomagnetic Storm by Emre Eroglu, Mehmet Emir Koksal

“…Instead of the traditional least squares method for finding control points of cubics, it utilizes the mean of every five-hour of the piecewise curves of the TEC data. Accordingly, the prediction error can be controlled at a rate that can compete with the modern network approach. …”
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Semiconductor Nanocrystals and Graphene Oxide as Visible-Light-Sensitive Photoinitiators of Acrylamide Polymerization in Water by O. L. Stroyuk, S. Ya. Kuchmiy, N. S. Andryushina

“…The photopolymerization rate increases proportionally to the conduction band potential of CdxZn1-xS nanoparticles that depends on their composition. …”
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ОРТАЛЫҚ АЗИЯДАҒЫ АДАМ ДАМУЫНЫҢ ПРОБЛЕМАЛАРЫ МЕН МҮМКІНДІКТЕРІ by Z. K. Chulanova, G. Kairatkyzy

“…In addition, economic-statistical methods were used, as well as rating, comparison, and generalization; data of the United Nations Development Program, the World Bank, the World Economic Forum, the Committee on Statistics of the Ministry of National Economy of the Republic of Kazakhstan were used.Based on the analysis of the dynamics of indicators characterizing life expectancy, level of education, gross national income per capital, the place of Central Asian countries in the global HDI ranking is determined, the problems and factors affecting its formation are identified, competitive advantages, disadvantages and prospects of human development in the states of the region are determined.In particular, in Kazakhstan, despite the achievements in socio-economic development and increased welfare, among the priorities remains the need to implement a set of measures to expand the parameters of human development towards a qualitative change in this process in the context of the formation of an innovative economy.…”
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Forwarding efficiency aware traffic scheduling algorithm based on deep reinforcement learning by Zongxuan SHA, Ru HUO, Chuang SUN, Shuo WANG, Tao HUANG

“…The software defined network separates the control plane from the data plane to achieve flexible traffic scheduling, which can use network resources more efficiently.However, with the increase of the number of flow entries, load rate, the number of connected hosts, and other factors, the forwarding efficiency of the SDN switch will be reduced, which will affect the end-to-end transmission delay.To solve the above problems, the forwarding efficiency aware traffic scheduling algorithm based on deep reinforcement learning was proposed.First, the switch state was integrated into the perception model, and the mapping relationship between switch state information and forwarding efficiency was established based on neural network.Then, combined with network state and traffic information, traffic scheduling policy was generated through deep reinforcement learning.Finally, the expert samples generated by the shortest path and load balance algorithms could guide the model training, which enabled the model to learn knowledge from expert samples to improve performance and accelerated the training process.The experimental results show that the proposed algorithm not only reduces the average end-to-end transmission delay by 15.31%, but also ensures the overall load balance of the network, compared with other algorithms.…”
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Development and Application of a Model Measuring Public Safety in Taiwan by Zhi-Ping Lin, Song-Chia Hsu, Z. H. Che

“…Accordingly, this study proposed a measurement model that combines the analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) to obtain public safety ratings. …”
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MULTIOBJECTIVE FUZZY PORTFOLIO MODEL IN INDONESIAN SYARIAH STOCK MARKET by Chairil Hikayat, Luthfannisa Afif Nabila, Padrul Jana

“…The method in this study is a fuzzy portfolio approach using the Treynor and Sharpe ratios in evaluating investment performance. Data is processed using fuzzy trapezoids, and portfolios are used to minimize risk without using short sales so that it remains balanced between potential profits and risks. …”
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Anticorrosion Behavior of Deposited Magnetite on Galvanized Steel in Saline Water Using RF-Magnetron Sputtering by Baghdad Science Journal

“…The results obtained show that the rate of corrosion of G.S alloy increased with increasing the temperatures from 298 to 323K; and showed that deposition of Fe3O4 caused protection efficiency to reach 79.76% for G-S in 318K. …”
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STUDY ON THE PERCEPTION OF COMPANIES REGARDING SOCIAL RESPONSIBILITY AND THE IMPORTANCE OF NON-FINANCIAL REPORTING by Alina MARCUTA, Liviu MARCUTA

“…The data collected were processed and interpreted statistically, so that conclusions can be drawn regarding the importance of social responsibility for companies. …”
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