Search Results - data processing methods

Analysis of the Outcomes of a New Method for Plastic Surgery for Postoperative Wound Of Sacrococcygeal Region after Excision of the Pilonidal Cyst: Randomized Trial. by E. N. Shubrov, A. G. Baryshev, K. V. Triandafilov, V. A. Aladina, V. V. Fedyushkin, R. K. Amirova

“…Statistical data processing was performed using Microsoft Excel 2013 with the add-ins Analysis package and AtteStat for statistical data.Results. …”
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Hybrid Deep Learning-Based Enhanced Occlusion Segmentation in PICU Patient Monitoring by Mario Francisco Munoz, Hoang Vu Huy, Thanh-Dung Le, Philippe Jouvet, Rita Noumeir

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The Digitalisation of the Economy: Russia in the Context of Global Transformation by Z. V. Basaev

“…The author concluded that most experts consider the digital economy as part of the socio-economic relations or a special kind of economic activity, based on new methods of processing, storage and transmission of data. …”
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Psychological and pedagogical features of distance learning at a university by F. G. Lovpache, B. K. Pafifova

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Formation of a Credible Methodological Framework for Epidemiological Forecasting of the Incidence of Hemorrhagic Fever with Renal Syndrome Using Machine Learning Techniques by A. V. Ivanova, V. A. Safronov

“…Materials and methods. The study materials comprised the data on 10,788 cases of HFRS, registered in the Saratov Region between 1982 and 2022. …”
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Comparative analysis of methods for mixture calculating during sequential pumping of oil and petroleum products taken into account the primary technological mixture impact by Ivan M. Vanchugov, Konstantin S. Rezanov, Roman A. Shestakov

“…Methods. Mathematical modeling of mixing using different methods, comparative analysis of the obtained data, extrapolation of the function using real data from the Samara–Bryansk technological pipeline. …”
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Local Transmissibility-Based Identification of Structural Damage Utilizing Positive Learning Strategies by Oguz Gunes, Burcu Gunes

“…Recent advances in sensor technology, data acquisition, and signal processing have enabled the development of data-driven structural health monitoring (SHM) strategies, offering a powerful alternative or complement to traditional model-based approaches. …”
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A Second-Classroom Personalized Learning Path Recommendation System Based on Large Language Model Technology by Qiankun Yang, Changyong Liang

“…To address the limitations of existing learning path recommendation methods—such as poor adaptability, weak personalization, and difficulties in processing long sequences of student behavior and interest data—this paper proposes a personalized learning path recommendation system for the second classroom based on large language model (LLM) technology, with a focus on integrating the pre-trained model GPT-4. …”
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Justifying the selection of a neural network linguistic classifier by Olessia Barkovska, Kseniia Voropaieva, Oleksandr Ruskikh

“…The following methods used are a comprehensive analysis of neural network models, assessment of classification accuracy, training and prediction time, model size, and data distribution. …”
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Book review: Mukherji, P. & Albon, D. (2022). Research methods in early childhood: An introductory guide. SAGE Publications. 448 pp. by Paula Martínez Enríquez

“…This work has a structured and methodological focus that guides readers in the process of research in early childhood education, from conceptualisation to data analysis. …”
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Challenges and Mitigation Strategies in the Development and Feasibility Assessment of a Digital Mental Health Intervention for Depression (VMood): Mixed Methods Feasibility Study by Leena W Chau, Jill K Murphy, Vu Cong Nguyen, Hai Nhu Tran, Harry Minas, Raymond W Lam, Kanna Hayashi, Thi Thanh Xuan Nguyen, Emanuel Krebs, John O'Neil

“…Qualitative data were analyzed using thematic content analysis. …”
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Automated fault network extraction in complex tectonic regimes: A hybrid machine learning and structural attributes approach by Muhammad Khan, Andy Anderson Bery, Yasir Bashir, Sya'rawi Muhammad Husni Sharoni, Syed Sadaqat Ali

“…This paper introduces a hybrid approach that combines machine learning with seismic structural attributes to extract complex fault networks from 3D seismic data. The method begins by using pre-trained models to generate a fault probability cube, which is then refined through re-training with manually labeled data to incorporate local structural knowledge. …”
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MAIN CLINICAL AND LABORATORY CHARACTERISTICS OF PATIENTS WITH TYPE 1 DIABETES AND DIABETIC NEPHROPATHY IN TERMS OF RISK GROUP PERSPECTIVES EVALUATION by Ihor V. Kovalchuk, Ievgeniia A. Burlaka, Inga O. Mityuryayeva-Kornijko

“…Statistical analysis and data processing were performed using GraphPad Prism 10.0 for Windows (USA, San Diego, California). …”
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Justifying the selection of a neural network linguistic classifier by Олеся Барковська, Ксенія Воропаєва, Олександр Руських

“…The following methods used are a comprehensive analysis of neural network models, assessment of classification accuracy, training and prediction time, model size, and data distribution. …”
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A Psychosocial Exploration of International Medical Graduate Journeys, Perceptions, Challenges and Resulting Impacts: A Sequential Explanatory Mixed Methods Study by Healey SJR, Fakes K, Malau-Aduli BS, Nair BR

“…We later conducted individual interviews between February and April 2024. Quantitative data was descriptively analysed. Qualitative data from survey written responses and oral interviews were thematically analysed. …”
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Estimation of econometric indicators on the basis of the regression analysis (on the example of food consumption by the population of the Arkhangelsk region) by S. A. Kochkin

“…For carrying out the statistical analysis microdata of selective examinations of budgets of the households of the Arkhangelsk region for the IV quarter of 2012 conducted by Rosstat were used. For data processing the packet of the statistical analysis of SPSS was used, and the solution of objectives was performed by methods of the correlation and regression analysis, and also by means of check of distributions of the researched quantities to a normality and the analysis of a regression residuals. …”
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Access, inequalities and annual health checks (AHCs) for adults living with severe mental illness in the UK: a mixed-methods systematic review by Karina Lovell, Chunhu Shi, Rathi Ravindrarajah, Gill Norman, Elinor Hopkin, Janine Owens, Penny E Bee

“…Objectives Individuals living with severe mental illness (SMI) are at a significantly higher risk of mortality. This mixed-methods systematic review identifies and explores factors, including access inequalities to annual health checks (AHCs), for people living with SMI sharing protected characteristics in the UK, as identified in Core20PLUS5.Design Mixed-methods systematic review.Data sources MEDLINE, EMBASE, PsycINFO, CINAHL, ASSIA, Google Scholar and the grey literature were searched from 1 January 2004 to 30 January 2025.Eligibility criteria Inclusion criteria were adults >18 years of age living with SMI. …”
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Monte Carlo Simulation of Photoresponse in Silicon Photodiodes with <i>p-n</i>-Junction and <i>p-i-n</i>-Structure by A. V. Borzdov, V. M. Borzdov, D. N. Buinouski, A. N. Petlitsky

“…Using selfconsistent simulation by the ensemble Monte Carlo method, the electron ionization coefficient in bulk silicon at a crystal lattice temperature of 300 K was calculated and compared with known experimental data. …”
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THE CONCEPT OF «PEDAGOGICAL ACTIVITY» IN LEGISLATION AND LAW PRACTICE: A COMPREHENSIVE ANALYSIS OF THE CONTENT by USACHEVA ELENA

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A Cloud-Based Intelligence System for Asian Rust Risk Analysis in Soybean Crops by Ricardo Alexandre Neves, Paulo Estevão Cruvinel

“…It has been designed using smart computer systems supported by image processing, environmental sensor data, and an embedded model for evaluating favorable conditions for disease progression within crop areas. …”
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