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16721
Human resources in a healthcare institution as the management efficacy improvement factor
Published 2021-12-01“…Development strategies and an algorithm for improving personnel policy are formulated in order to increase the efficiency of management and the quality of medical care to the population.Purpose of the study. …”
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16722
Modern Aspects of the Treatment of Acute Bacterial Postoperative Endophthalmitis
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16723
Exploring the role of organisational learning culture in the relationship between teamwork self-efficacy and employee satisfaction: Insights from the Indian IT Sector across genera...
Published 2025-06-01“…The data were analyzed using partial least squares–structural equation modeling (PLS-SEM), followed by PLS predict algorithm. Findings: The results indicated that OLC partially mediates and moderates the link between TSE and ES. …”
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16724
Direct Power Control of Vienna Rectifier Based on Fractional Order Sliding Mode Control
Published 2024-11-01“…Taking a Vienna rectifier as the research object, the power mathematical model based on a switching function is established according to its working principle. …”
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16725
Optimization and Numerical Verification of Microseismic Monitoring Sensor Network in Underground Mining: A Case Study
Published 2024-11-01“…Four levels of random errors were added to the calculated arrival time data, and the classical Geiger localization algorithm was used for locating validation. The distribution of localization errors within the monitoring area was analyzed. …”
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16726
Retracted: Computer Medical Image Segmentation Based on Neural Network
Published 2020-01-01“…Most of the image segmentation methods in traditional vision algorithms are difficult to achieve high-resolution image segmentation due to the complexity of the algorithm. …”
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16727
Prediction of Urban Rail Transit Train Door Faults Based on FOA-BP Neural Network Model
Published 2025-05-01“…[Method] Taking the abnormal current signal of URT train door before failure as the research object, a FIR (finite impulse response) filter is designed to filter and dimensionally normalize the collected URT train door current signal data; the FOA (fruit fly optimization algorithm)-BP (back propagation) neural network model is used to train the closed state learning sample data of different doors after dimensional normalization, and output test results; FOA-BP results and output results after BP neural network models training are compared and analyzed. …”
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16728
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16729
Spatial transcriptomics and scRNA-seq: decoding tumor complexity and constructing prognostic models in colorectal cancer
Published 2025-08-01“…We developed a 13-gene prognostic signature (PS) using machine learning algorithm (StepCox backward), which predicts the prognosis of CRC patients. …”
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16730
Optimizing photovoltaic parameters with Monte Carlo and parallel resistance adjustment
Published 2025-01-01“…The extracted parameters using MCO are compared to contemporary research publications on metaheuristic optimization algorithms, iterative approaches, and analytical methods. …”
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16731
The authors would like to thank the staff of the Organisation of Transportation and Transport Management Department
Published 2021-11-01“…The methodological basis of theoretical and experimental research is system analysis and logical analysis.Results. …”
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16732
Predicting the Tensile Strength of Plant Leaves Based on GA-SVM
Published 2025-12-01“…Most plant material mechanics studies focus on the independent investigation of single properties, whereas systematic research on the coupling relationships among multidimensional performance indicators of plant leaves remains relatively scarce. …”
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16733
Quantifying influence of rainfall events on outdoor thermal comfort in subtropical dense urban areas
Published 2024-01-01“…Existing research on outdoor thermal comfort in urban areas focuses on meteorological factors such as temperature, relative humidity, wind speed, and radiation on sunny or cloudy days. …”
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16734
A Metaheuristic Approach for a Two-dimensional Fuzzy Version of the Variable Size and Cost Bin Packing Problem
Published 2024-11-01“…This problem has significant applications across various fields, including energy, cargo transport, and informatics, among others. Most research conducted on this problem has concentrated on enhancing solution methodologies. …”
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16735
A robust and omnidirectional-sensitive electronic antenna for tactile-induced perception
Published 2025-04-01“…Its scalable plug-and-play capability, combined with an tactile perception algorithm, ensures seamless integration across various robots for diverse tasks. …”
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16736
A Spatial Crowdsourcing Engine for Harmonizing Volunteers’ Needs and Tasks’ Completion Goals
Published 2024-12-01“…The findings demonstrate that the VTAE algorithm ensures equitable task distribution across geographical areas while actively involving users in the decision-making process.…”
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16737
Analysis methodology for the strategies of educational programs in the system of additional professional education as a component of adaptive marketing
Published 2025-06-01“…The paper describes the algorithm of adaptive marketing applied to the educational programs in the system of additional professional education. …”
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16738
Optimization and modeling of sulfur removal from liquid fuel using carbon-based adsorbents through synergistic application of RSM and machine learning
Published 2025-02-01“…Abstract This research investigates the adsorption desulfurization of liquid fuels using artificial neural networks (ANN) and response surface methodology (RSM) approaches. …”
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16739
A temporal and spatial electric vehicle charging optimization scheme with DSO-EVA coordination framework
Published 2024-02-01“…On this basis, the modified adaptive multi-objective particle swarm optimization (AMOPSO) algorithm is proposed, including adaptive flight parameter adjustment and termination mechanisms. …”
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16740
AI based predictive acceptability model for effective vaccine delivery in healthcare systems
Published 2024-11-01“…Disparities in the rate of vaccine acceptance result in low immunization coverage and slow uptake of newly introduced vaccines. This research presents an innovative AI-driven predictive model, designed to accurately forecast vaccine acceptance within immunization programs, while providing high interpretability. …”
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