SNet: A novel convolutional neural network architecture for advanced endoscopic image classification of gastrointestinal disorders by Samra Siddiqui, Junaid A. Khan, Tallha Akram, Meshal Alharbi, Jaehyuk Cha, Dina A. AlHammadi

“…With classification accuracy as the main metric, the achieved accuracy is 98.45% on the Kvasir v1, and 97.83% on the Kvasir v2 datasets.…”
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Uncertainty management in multiobjective electric vehicle integrated optimal power flow based hydrothermal scheduling of renewable power system for environmental sustainability by Susanta Dutta, Siddhartha Ghosh, Tushnik Sarkar, Provas Kumar Roy, Chandan Paul, Ruba Abu Khurma, Mohd Asif Shah, Saurav Mallik

“…Abstract The combined heat and power economic dispatch (CHPED) and optimal power flow (OPF) are two power system optimization issues that are simultaneously studied in this work on IEEE-57 bus and IEEE 118-bus power network. The main contribution of the proposed work is to determine the OPF of CHPED problem on the IEEE 57 bus and IEEE 118 bus systems. …”
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Self-Shielding Treatment to Perform Cell Calculation for Seed Furl In Th/U Pwr Using Dragon Code by Ahmed Amin El Said Abd El Hameed, Mohamed Nagy, Hanaa Abou-Gabal

“…There are mainly two resonance self-shielding models commonly applied: models based on equivalence and dilution and models based on subgroup approach. …”
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Use of a Method for Contour Analysis of Radiation Images of Malignant Breast Tumors on the Basis of Retrospective Material by M. K. Mikhailov, E. A. Romanycheva, V. V. Sevast’yanov, Ya. A. Furman

“…The latter of digital mammographic images involved segmentation of space-occupying lesions, determination of the linearity factor of their outlines, and differential diagnosis of space-occupying lesions based on the calculated value of the linearity factor of their outlines.Results. An algorithm was elaborated for identifying the outlines of space-occupying lesions on X-ray mammographic images. …”
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Can the adherence to quality of care indicators for early rheumatoid arthritis in clinical practice reduce risk of hospitalisation? Retrospective cohort study based on the Record L... by Carlo Alberto Scirè, Antonella Zambon, Greta Carrara, Anna Zanetti, Lisa Argnani

“…Objective To describe the adherence to quality of care indicators in early rheumatoid arthritis (RA) and to evaluate its impact on the risk of hospitalisation in a real-world setting.Design Retrospective cohort study.Setting Patients with early-onset RA identified from healthcare regional administrative databases by means of a validated algorithm between 2006 and 2012 in the Lombardy region (Italy).Participants The study cohort included 14 203 early-onset RA (71% female, mean age 60 years).Outcome measures For each patient, a summary adherence score was calculated starting from the compliance to six quality indicators: (1–2) methotrexate or sulfasalazine or leflunomide with/without glucocorticoids, (3–4) other disease-modifying antirheumatic drugs (DMARDs) with/without glucocorticoids, (5) early interruption of glucocorticoids, (6) early clinical assessment.The relationship between low, intermediate and high categories of the summary score and the 12-month risk of hospitalisation for all causes and for RA was assessed.Results During a follow-up of 1 year, 2609 hospitalisations occurred, of which 704 were for RA (main or secondary diagnosis) and 252 primarily for RA. …”
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Career Development Center Berbasis Social Media Menggunakan Algoritma Gale-Shapley dan Framework Codeigniter by Rifky Syaripudin, Oman Komarudin, Intan Purnamasari

“…The results of the designed application have the main function as a job search social networking site. …”
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Machine learning prediction and explanation of high intraoperative blood pressure variability for noncardiac surgery using preoperative factors by Zheng Zhang, Yi Duan, Zuozhi Li, Zhifeng Gao, Huan Zhang

“…This study utilized a retrospective observational design, employing the eXtreme Gradient Boosting (XGBoost) algorithm to create a predictive model for high IBPV. …”
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Estimation of the Potential Benefits of Meningococcal Vaccination in Children at 9 and 12 Months of Age Using a Predictive Mathematical Model by N. I. Briko, O. I. Volkova, I. S. Korolyova, E. O. Kurilovich, L. D. Popovich, I. V. Feldblum

“…The aim is to assess the predicted socio-economic consequences for different scenarios: while maintaining the current vaccination algorithm and including in the NIS vaccination against MI of all children aged 9 and 12 months using mathematical modeling.Results and discussion. …”
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Smart Grid System Based on Blockchain Technology for Enhancing Trust and Preventing Counterfeiting Issues by Ala’a Shamaseen, Mohammad Qatawneh, Basima Elshqeirat

“…In the blockchain, current consensus algorithms may limit the scalability of smart grids, especially when depending on popular algorithms such as Proof of Work, due to their high energy consumption, which is incompatible with the characteristics of the smart grid. …”
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HypE-GA based study on optimal design of standard floor facade windowing of high-rise office buildings facing energy saving in heating, cooling and lighting. by Weixiang Zhang, Jieli Sui

“…Secondly, the weak interactivity and algorithmic limitations of traditional simulation platforms prevent rapid access to ideal design strategies. …”
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Benchmark Pashto Handwritten Character Dataset and Pashto Object Character Recognition (OCR) Using Deep Neural Network with Rule Activation Function by Imran Uddin, Dzati A. Ramli, Abdullah Khan, Javed Iqbal Bangash, Nosheen Fayyaz, Asfandyar Khan, Mahwish Kundi

“…Computer vision is one of the main branches where machine learning and deep learning techniques are being applied. …”
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A Review of Integrated Optimization Method of Batch Planning and Scheduling for Steelmaking-Continuous Casting-Hot Rolling Production Under Uncertain Environment Based on Lagrangia... by Liangliang Sun, Xirang Hao, Yunpeng Li, Jinghan Xue, Natalia M. Matsveichuk, Yuri N. Sotskov, Qichun Zhang

“…Considering the uncertain environment and the integration of SM-CC-HR, this paper summarizes the research status of previous scholars from three aspects: mathematical modeling, model optimization, and algorithm optimization based on the Lagrangian framework. …”
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Terms of use of judicial acts for machine learning (analysis of some judicial decisions on the protection of property rights) by E. I. Alekseevskaya

“…The purpose of this article is to discover whether the current Russian judicial decisions may serve as input data for a machine learning algorithm in future. The main results, scope of application. …”
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Diabetes and Cataracts Development—Characteristics, Subtypes and Predictive Modeling Using Machine Learning in Romanian Patients: A Cross-Sectional Study by Adriana Ivanescu, Simona Popescu, Adina Braha, Bogdan Timar, Teodora Sorescu, Sandra Lazar, Romulus Timar, Laura Gaita

“…A Random Forest Classification algorithm was employed to predict the incidence of different associations of cataracts (1, 2, or 3 types). …”
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Managerial Challenges in Digital Health: Bibliometric and Network Analysis by Quentin Garçon, Benjamin Cabanes, Cédric Denis-Rémis

“…MethodsTo delineate the evolving landscape of digital health management and highlight the main challenges, we conducted a comprehensive bibliometric analysis. …”
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METHODOLOGICAL PRINCIPLES OF EDUCATIONAL AND PSYCHOLOGICAL CHATBOT DEVELOPMENT by Vitaliy Panok, Anatoliy Shevchenko, Maksym Nazar, Denys Starkov, Dmytro Meshcheriakov, Andriy Shevtsov

“…Educational and psychological chatbots are defined as those that provide conditions for psychological (self-)help and teach users more effective thinking and activity strategies, facilitating the acquisition of new knowledge, skills, and abilities. The main objectives of the study include the analysis of modern scientific sources to clarify methodological approaches to the development of educational and psychological chatbots, identifying their psychological and educational functions, and studying aspects of their implementation in various practical fields. …”
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Impact of extratropical cyclones on coastal circulation in a semi-enclosed bay within the Humboldt Current System by J. Contreras-Rojas, J. Contreras-Rojas, J. Contreras-Rojas, P. Mardones, M. Sobarzo, M. Sobarzo, M. Sobarzo, M. Sobarzo

“…Measurements were conducted from July to September 2016 and May to July 2018. Additionally, the main modes of subtidal current variability were compared with the local wind through coherence wavelets, revealing a direct influence of cyclones on the modulation of the gulf's currents. …”
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Research and Application on Automatic Stratigraphic Sequence Division and Comparison Method Based on Integrated Prediction Error Filter Analysis by NING Weifeng, WANG Caizhi, JIANG Qingchun, LIU Yingming, WANG Hao, WEI Xingyun, LIN Yaoqiang

“…The source rocks of the Qingshankou formation are mainly distributed in the transgressive systems tract of SQ1, while the main shale sweet spot Q9 develops in the late transgressive stage of the third-order sequence SQ1, and it is located in the period of stable to slowly falling lake level in the fourth-order sequence SQ13. …”
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Plasma cell tumors of the head and neck. Analysis of diagnostic difficulties based on literature and own data by F. Sh. Kamolova, L. Yu. Grivtsova, S. M. Samborskiy, V. B. Larionova, Yu. E. Ryabukhina, P. A. Zeynalova, A. M. Mudunov

“…The described diagnostic situations dictate the need for a comprehensive algorithm in the diagnosis of head and neck tumors. …”
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Diagnostics and treatment of peptic ulcer: clinical guidelines of the Russian gastroenterological Association by V. T. Ivashkin, A. A. Sheptulin, I. V. Mayev, Ye. K. Baranskaya, A. S. Trukhmanov, T. L. Lapina, S. G. Burkov, A. V. Kalinin, A. V. Tkachev

“…To present modern concept on etiology and pathogenesis of the peptic ulcer (PUD) to general practitioners, to acquaint them with modern diagnostic methods and main treatment approaches of this disease. Summary. …”
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