A Multiplatform Approach for Chlorophyll Level Estimation for Irish Lakes by Minyan Zhao, Fiachra O'Loughlin

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Comparative analysis of the frequency of comorbid diseases in axial psoriatic arthritis and other variants of axial spondyloarthritis. Data from a hospital cohort by A. A. Yanushonite, Yu. L. Korsakova, T. V. Korotaeva, E. E. Gubar, E. Yu. Loginova, M. M. Urumova, A. E. Dimitreva, S. I. Glukhova

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Improving Efficiency of Rolling Mill Stand Electric Drives Through Load Alignment by Stanislav S. Voronin, Andrey A. Radionov, Alexander S. Karandaev, Roman A. Lisovsky, Boris M. Loginov, Mark A. Zinchenko, Vadim R. Khramshin, Ivan N. Erdakov

“…The prospects of this research include the optimization of high-speed and high-load electric drive modes to reduce the energy costs of rolling and the development of an LDC based on fuzzy logic algorithms.…”
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ALLERGY TO ANTIBIOTICS IN CHILDREN: WHO IS TO BLAME AND WHAT TO DO? by I. V. Andreeva, O. U. Stetsyuk

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TEACHING COMPUTATIONAL THINKING IN SAUDI ARABIAN SCHOOLS USING SMARTPHONE APPS by Abdullah Alenezi

“…Computational thinking, encompassing problem-solving, computational logic, and algorithmic thinking, is an essential skill in the modern world. …”
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Landslide Segmentation in High-Resolution Remote Sensing Images: The Van–UPerAttnSeg Framework with Multi-Scale Feature Enhancement by Chang Li, Quan Zou, Guoqing Li, Wenyang Yu

“…However, traditional methods of landslide recognition mainly rely on visual interpretation and manual recognition of remote sensing images, which are time-consuming and susceptible to subjective factors, thereby limiting the accuracy and efficiency of recognition. …”
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Outlier Traffic Flow Detection and Pattern Analysis Under Unplanned Disruptions: A Low-Rank Robust Decomposition Model by Zhipeng Duan

“…The accelerated proximal gradient solution algorithm is applied to obtain the decomposition results. …”
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Statistical Analysis of Compact Single-source Flares Observed by STIX by Michalina Litwicka, Tomasz Mrozek, Arun K. Awasthi, Marek Siarkowski, Marek Stęślicki, Janusz Sylwester, Barbara Sylwester

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Features of insulin therapy in combination of long-term type 1 diabetes mellitus and metabolic syndrome by M. D. Samsonova, N. P. Trubitsyna, A. S. Severina, M. S. Shamkhalova

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Modelling the power consumption of a commercial unmanned aerial vehicle using machine learning by Setati Tiro, Nkomo Brighton

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Plasma metabolite biomarker identification study for the early detection of gastric cancer by Juan Zhu, Yida Huang, Bin Liu, Xue Li, Li Yuan, Le Wang, Kun Qian, Yingying Mao, Lingbin Du, Xiangdong Cheng

“…However, current detection methods for GC mainly rely on gastroscopy examination, limited by relatively low compliance. …”
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Standards of Specialized Diabetes Care / Edited by Dedov I.I., Shestakova M.V., Mayorov A.Yu. 11th Edition by I. Dedov, M. Shestakova, A. Mayorov, N. Mokrysheva, E.  Andreeva, O. Bezlepkina, V. Peterkova, E. Artemova, P. Bardiugov, D. Beshlieva, O. Bondarenko, F. Burumkulova, O. Vikulova, N. Volevodz, G. Galstyan, I. Gomova, O. Grigoryan, Z. Dzhemilova, L. Ibragimova, V. Kalashnikov, I. Kononenko, T. Kuraeva, D. Laptev, D. Lipatov, O. Melnikova, M. Mikhina, M. Michurova, O. Motovilin, T. Nikonova, R. Rozhivanov, O. Smirnova, E. Starostina, E. Surkova, O. Sukhareva, A. Tiselko, A. Tokmakova, M. Shamkhalova, E. Shestakova, I. Jarek-Martynowa, M. Yaroslavceva

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From Physically Based to Generative Models: A Survey on Underwater Image Synthesis Techniques by Lucas Amparo Barbosa, Antonio Lopes Apolinario

“…Given the complexity of capturing data from the sea and the large variability of environmental components (depth, distance, suspended particles, turbidity, etc.), synthesized underwater scenes can provide relevant data to improve image processing algorithms and computer vision tasks. The main goal of this survey is to summarize techniques to underwater image synthesis, their contributions and correlations, and to highlight further directions and opportunities in this research domain.…”
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Clustering Tingkat Risiko Klasifikasi Lapangan Usaha (KLU) Menggunakan Metode K-Means by Jessica Rahmawati Nugroho, Yoyon K Suprapto, Eko Setijadi

“…Thus, in this study, the researcher tries to implement the clustering method with the K-Means algorithm to grouping the business classifications (Klasifikasi Lapangan Usaha/KLU) according to the risk of non-compliance level and the fiscal impact on revenue which is divided into high, medium, and low. …”
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Application Analysis of Credit Scoring of Financial Institutions Based on Machine Learning Model by Yi Wu, Yuwen Pan

“…Personal credit evaluation based on big data is one of the hot research topics. This paper mainly completes three works. …”
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Evaluation of the effectiveness of parameters of the global description of words in simple automatic speech recognition systems by Cz. BASZTURA, W. MAJEWSKI, W. BARYCKI

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Stationary characteristics of unreliable queueing system with a batch Markovian arrival process by V. I. Klimenok

“…The condition of ergodicity of this chain is presented in a simple algorithmic form. An algorithm for calculating the stationary distribution is proposed. …”
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Evaluating and Forecasting the Probability of Lightning Occurrence in Rasht City by Afsaneh Ghasemi, Jamil Amanollahi

“…The prediction of a lightning is a very difficult task due to the spatial and temporal expansion of weather either physically or dynamically. …”
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Pathophysiology of the Heart and Clinical Cardiac Anesthesiology by Yu. V. Nikiforov, L. A. Krichevsky

“…The main tasks presented to its investigators were to improve electric cardiac defibrillation and cardioversion, to elaborate the optimal infusiotransfusion therapy tactics during cardiac surgery, to optimize intraoperative myocardial protection, to maintain lung functions under extracorporeal circulation, to search for the most effective and safe schemes of general and epidural anesthesia in cardiosurgical patients, and to substantiate algorithms for their postoperative activation. …”
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Efficiency of blind source separation in a real room by Paweł Libiszewski, Jędrzej Kociński

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