Epidemiological Rationale for Changing the Strategy and Tactics of Vaccination of Pertussis in Current Conditions by K. A. Subbotina, I. V. Feldblium, E. A. Kochergina, N. A. Lechtina

“…A research objective – definition of the main directions of improvement of epidemiological control of a pertussis on the basis of studying of manifestations of epidemic process and its determinants. Materials and methods. The analysis of incidence is carried out according to official statistics in 19 years, the population antipertussoid immunity is studied by results of routine serological monitoring and specially organized screening researches. …”
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Large-scale activity-based demand generation modeling: A literature review and exploration of potential approaches by Ngoc An Nguyen, Joerg Schweizer, Federico Rupi

“…Furthermore,potential research directions are also discussed, including the development of travel models for large-scale scenarios using big data sources and the optimization of their integration with dynamic traffic assignment. …”
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Application of the multiagent approach for modeling integrated energy systems by V. A. Stennikov, E. A. Barakhtenko, G. S. Mayorov

“…Traditionally, the considered energy systems unite large energy sources, such as hydro, thermal power plants, combined heat and power plants, boiler plants and electric and pipeline networks distributed over a large area. …”
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Identifying Key Parameters for Reducing Recombination Losses at the p-n Junction of Chalcopyrite Thin-Film Solar Cells by Amala Elizabeth, Harry Mönig

“…A combined analytical approach using scanning probe microscopy and spectroscopy or Kelvin force microscopy and photoelectron spectroscopy methods can provide valuable insights. Despite the extensive literature available on related topics, a consolidated view of the various findings made in this regard and the direct consequences for the device efficiency is still lacking. …”
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Forecasting Wind Farm Production in the Short, Medium, and Long Terms Using Various Machine Learning Algorithms by Gökhan Ekinci, Harun Kemal Ozturk

“…Five machine learning algorithms were employed—Artificial Neural Network (ANN), Random Forest (RF), Extreme Gradient Boosting (XGBoost), K-Nearest Neighbors Regression (KNN), and Multi-Layer Perceptron (MLP ANN)—utilizing both MinMax and Standard Scaling methods. Prediction performance was evaluated using Mean Absolute Error (MAE), Coefficient of Determination (R²), and Root Mean Square Error (RMSE) metrics. …”
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Application of machine learning in acute upper gastrointestinal bleeding: bibliometric analysis by Qun Li, Guolin Chen, Qiongjie Li, Dongna Guo

“…Through a thorough analysis of relevant literature, we uncover the research trends and collaboration patterns in this field, which can provide valuable references and insights for further in-depth exploration in the same field.MethodsUsing the Web of Science (WOS) as the data source, this study explores academic development in a specific field from December 2013 to December 2023. …”
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Forecasting the daily energy load schedule of working days using meteofactors for the central power system of Mongolia by A. G. Rusina, O. Tuvshin, P. V. Matrenin

“…As initial inputs historical data on load, temperature and outdoor air humidity of the central energy system were used, which has the most of the energy demand and sources of Mongolia by 2021.RESULTS. According to the method of statistical analysis, daily load curves were constructed with an absolute percentage error of 2.68%. …”
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State Policy of Improving Medical Care for Newborns in Conditions of Medical Reform in Ukraine by Iryna Didenko, Tetyana Moroz, Lesya Prasol

“…General scientific theoretical methods were used to solve the outlined tasks and achieve the goal of the research: study and analysis of scientific sources on the research problem and generalization of data. …”
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Fault analysis of chemical equipment based on an improved hybrid model. by Wu Huiyong, Kuan Jiang, Wang Yanyu

“…However, traditional fault detection techniques often exhibit limitations when applied to the complex operational conditions, varying environmental factors, and multimodal data encountered in chemical equipment. These conventional methods typically rely on a single signal source or shallow feature extraction, which makes it difficult to effectively capture the deep, implicit information within the equipment's operating state. …”
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Investigating the impact of variety of e-retail delivery service options on customer retention by Soheila Zarinjoy alvar, shahin raz, Ali Tavakolifar

“…The main advantage of the proposed strategy, compared to previous strategies, is its simplicity and easy implementation, and at the same time it reflects the optimal solution. Research methodology The current research is applicable in terms of purpose, a survey research in terms of the method of data collection, cross-sectional in terms of time, and causal-descriptive in terms of nature and method. …”
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Research activity as a factor in the formation of professional competence of future teachers in the context of digital transformation by Tatyana A. Toreeva

“…Methodology . The main research methods were critical analysis of scientific and pedagogical sources, systematization, classification, and questionnaire method. …”
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Fuzzy Controlled MPPT to Grid Connected PV Systems by Sukumar G. Durga, Prasad R. Ramanjan, Vardhan R. Harsha, Pakkiraiah B., Krishna Ch. Leela

“…Among the various methods available, high- performance soft computing techniques serve as robust MPPT strategies. …”
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IMPROVE OF UNCERTAIN MICROSATELLITE MAGNETIC CLEANLINESS BASED ON MAGNETIC FIELD SPATIAL HARMONICS COMPENSATION by Б.І. Кузнецов, Т.Б. Нікітіна, І.В. Бовдуй, К.В. Чуніхін, В.В. Коломієць, Б.Б. Кобилянський

“…Vector payoff calculated based on development method for analytical calculation of magnetostatic field induction of spherical sources in the Cartesian coordinate system (CCS) using Wolfram Mathematica ® software. …”
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Museomics and morphological analyses of historical and contemporary peninsular Italian wolf (Canis lupus italicus) samples by Elena Fabbri, Antonia Vecchiotti, Federica Mattucci, Edoardo Velli, Vilde Arntzen Engdal, Nicola Baccetti, Adriano De Faveri, Pavel Hulva, Barbora Černá Bolfíková, Urmas Saarma, Elisabetta Cilli, Romolo Caniglia

“…Therefore, in this study, we morphologically and genetically analyzed historical and contemporary wolf samples, also exploiting the optimization of an innovative bone DNA extraction method, to describe the morphological variability of the subspecies and its genetic diversity during the last 30 years. …”
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Ranking and Challenges of Supply Chain Companies Using MCDM Methodology by Alaa Fouad Momena, Kamal Hossain Gazi, Mostafijur Rahaman, Anna Sobczak, Soheil Salahshour, Sankar Prasad Mondal, Arijit Ghosh

“…The ranking of e-commerce companies is evaluated using multi-objective optimization by ratio analysis plus the full multiplicative form (MULTIMOORA) method. …”
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Resourceful utilization of converter steel slag: Research status and application prospects by Xin LIU, Zhongliang WANG, Yanping BAO

“…The steel slag gradient utilization model, despite its potential, requires further technical optimization to overcome the aforementioned challenges. (3) The carbon thermal reduction method has been demonstrated to be effective in the extraction of phosphorus from steel slag, with a high degree of removal efficiency. …”
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Evaluation of the energy efficiency of fuel-free electricity generation at gas pressure regulation stations by Mukolyants Arsen, Sotnikova Irina, Ergasheva Dilbar, Maksudova Nasima

“…These results allow for the selection of the optimal gas preheating method depending on the operating conditions and the economic efficiency requirements of the unit.…”
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Production and characterization of nervous necrosis virus vaccine antigens in wild type and CRISPR/Cas9 genome edited Nicotiana benthamiana and edible crop lettuce Lactuca sativa by Iva Andrasevic, Hang Su, Espen Rimstad, Jihong Liu Clarke

“…Plant platforms have several advantages and have been proposed as an alternative biomanufacturing method for vaccine antigens. In the present study, we report: (1) selection and design of recombinant plasmids encoding the capsid proteins (CPs) of two genotypes of NNV, red-spotted grouper nervous necrosis virus (RGNNV) and striped jack nervous necrosis virus (SJNNV); (2) design and optimization of plasmids for transient expression of NNV vaccine antigens in wild type Nicotiana benthamiana, CRISPR/Cas9 genome edited Nicotiana benthamiana and Lactuca sativa; (3) test of different Agrobacterium strains (LBA4404 and AGL1) for effective production of NNVCPs; (4) the expression patterns of NNVCPs over time post infiltration for different plants and cultivars; (5) successful production of NNV antigens in N. benthamiana lines and lettuce cultivars, indicating the potential of the plants as antigen producers in the development of a plant-based vaccine against VNN.…”
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Spicy Food Ingredient from Red Habanero By-Product Obtained by Ultrasound-Assisted Extraction by António Toscano, Andreia F. R. Silva, Maria P. Ramos, Norton Komora, Filipa V. M. Silva, Patrícia Fradinho

“…., capsaicinoids, carotenoids, phenolics, etc.) and can serve as a source of <i>Capsicum</i> oleoresins, providing spice and color ingredients for food products. …”
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Enabling High-Level Worker-Centric Semantic Understanding of Onsite Images Using Visual Language Models with Attention Mechanism and Beam Search Strategy by Hui Deng, Kejie Fu, Binglin Yu, Huimin Li, Rui Duan, Yichuan Deng, Jia-rui Lin

“…Moreover, the absence of large-scale, high-quality open-source datasets remains a major obstacle, hindering further research progress and algorithmic optimization in this field. …”
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