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A multi-state Markov model study to estimate organ damage progression and influencing factors in systemic lupus erythematosus patients
Published 2025-06-01“…Objective To establish a multi-state Markov model of systemic lupus erythematosus(SLE) for patients in China and to explore the transition rule of organ damage accumulation and possible factors affecting the transition between states. Methods A retrospective cohort study was conducted using the data from CSTAR. …”
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Product recommendation for online sales systems based on transaction sessions
Published 2024-10-01“…This study proposes models for recommending products on online sales systems based on transaction sessions using memory-based collaborative filtering methods, including user-based and item-based, and model-based collaborative filtering methods including SVD and KNN. …”
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Product recommendation for online sales systems based on transaction sessions
Published 2024-10-01“…This study proposes models for recommending products on online sales systems based on transaction sessions using memory-based collaborative filtering methods, including user-based and item-based, and model-based collaborative filtering methods including SVD and KNN. …”
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Cost-effectiveness of chronic obstructive pulmonary disease population screening in China: based on individual data from WHO Collaborating Centre-initiated ‘Enjoying Breathing Prog...
Published 2025-04-01“…However, the cost-effectiveness of the Program remains unknown. Methods A lifetime Markov model was developed to compare the cost-effectiveness of the Program of COPD screening to no screening from a Chinese healthcare perspective. …”
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GLOBAL ENERGY MARKET SUSTAINABILITY: MODERN CHALLENGES IN SCOPE OF UKRAINIAN CONTEXT
Published 2025-05-01“…Moreover, in order to generate reliable forecasts for Ukraine's electricity production up to 2030, a mathematical extrapolation method was applied in order to develop a probable scenario. …”
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Random Finite Element Analysis and Random Factor response Mechanism for Geocell-reinforced Soil Retaining Walls
Published 2025-01-01“…The whole process automation framework was built by Python script to realize the intelligent processing from parameter reading, automatic generation of 500 groups of INP files to the submission of batch calculations and extraction of ODB results. Based on the above method, the random field numerical model of geocell-reinforced soil retaining wall was successfully established, and the probability distribution characteristics of horizontal displacement and vertical settlement of the retaining wall were obtained through large-scale stochastic simulation, and the corresponding cumulative distribution function was constructed. …”
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Student knowledge tracking based multi-indicator exercise recommendation algorithm
Published 2022-09-01“…Personalized exercise recommendation was an important topic in the era of education informatization, the forgetting laws of students in the learning process were ignored by the traditional problem recommendation algorithm, which failed to fully tap the students’ knowledge mastery level and the common characteristics of similar students, insufficient, could not reasonably promote students’ learning of new knowledge or help students find and fill omissions.In view of the above defects, a multi-index exercise recommendation method based on student knowledge tracking was proposed, which was divided into two modules: preliminary screening and re-filtering of exercises, focusing on the novelty, difficulty and diversity of exercise recommendation.Firstly, a knowledge probability prediction (SF-KCCP) model combined with students’ forgetting law was constructed to ensure the novelty of the recommended exercises.Then, students’ knowledge and concept mastery level was accurately excavated based on the dynamic key-value knowledge tracking (DKVMN) model to ensure that exercises of appropriate difficulty were recommended.Finally, the user-based collaborative filtering (UserCF) algorithm was integrated into the re-filtering module, and the similarity between student groups was used to achieve the diversity of recommendation results.The proposed method is demonstrated by extensive experiments to achieve better performance than some existing baseline models.…”
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Student knowledge tracking based multi-indicator exercise recommendation algorithm
Published 2022-09-01“…Personalized exercise recommendation was an important topic in the era of education informatization, the forgetting laws of students in the learning process were ignored by the traditional problem recommendation algorithm, which failed to fully tap the students’ knowledge mastery level and the common characteristics of similar students, insufficient, could not reasonably promote students’ learning of new knowledge or help students find and fill omissions.In view of the above defects, a multi-index exercise recommendation method based on student knowledge tracking was proposed, which was divided into two modules: preliminary screening and re-filtering of exercises, focusing on the novelty, difficulty and diversity of exercise recommendation.Firstly, a knowledge probability prediction (SF-KCCP) model combined with students’ forgetting law was constructed to ensure the novelty of the recommended exercises.Then, students’ knowledge and concept mastery level was accurately excavated based on the dynamic key-value knowledge tracking (DKVMN) model to ensure that exercises of appropriate difficulty were recommended.Finally, the user-based collaborative filtering (UserCF) algorithm was integrated into the re-filtering module, and the similarity between student groups was used to achieve the diversity of recommendation results.The proposed method is demonstrated by extensive experiments to achieve better performance than some existing baseline models.…”
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APPLICATION OF THE SYNTHETIC ANALYTICAL STRUCTURAL METHOD TO IMPROVE THE READING SKILLS
Published 2025-08-01“…Purpose – This study aims to evaluate the implementation of the Structural Analytic Synthetic (SAS) method in teaching beginning reading within the context of 21st-century skills, particularly during online learning environments prompted by the COVID-19 pandemic. …”
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PhotosNormandie, un projet collaboratif de redocumentarisation de sources patrimoniales iconographiques
Published 2023-07-01“…PhotosNormandie is a collaborative project involving more than 5100 photos and 300 historical movies on the landing of June 6, 1944 and the Battle of Normandy. …”
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UUV Cluster Distributed Navigation Fusion Positioning Method with Information Geometry
Published 2025-03-01“…To address these challenges, this paper proposes a UUV cluster distributed navigation fusion positioning method with information geometry (UCDFP). This method transforms the navigation data of individual UUVs into an information geometric probability model, thereby reducing the impact of temporal asynchrony-induced positioning errors. …”
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Determination of the binding and DK probability of the $$D^{*}_{s0}(2317)$$ D s 0 ∗ ( 2317 ) from the $$(\bar{D}\bar{K})^-$$ ( D ¯ K ¯ ) - mass distributions in $$\Lambda _{b}\righ...
Published 2025-06-01“…Given the fact that the $$\Lambda _{b}\rightarrow \Lambda _{c}\bar{D}^{0}K^{-}$$ Λ b → Λ c D ¯ 0 K - decay is already measured by the LHCb collaboration, it is expected that in the next runs with more statistics of the decay, these mass distributions can be measured with precision and the method proposed here can be used to determine the nature of the $$D^*_{s0}(2317)$$ D s 0 ∗ ( 2317 ) , which is still an issue of debate.…”
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A cooperative jamming mode adjustment method based on Multi-Agent reinforcement learning
Published 2025-11-01“…To address this, we propose a Multi-agent Joint Collaborative Jamming Adjustment Method (MJCJMA). Firstly, a non-cooperative adversarial scenario model is constructed, employing an improved snow melting algorithm (GPSAO-LSSVM) for radar threat pre-evaluation. …”
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Quantification of paste homogeneity by vision-based identification method: Case study for an industrial mixer
Published 2025-03-01“…Properly mixing paste and cement is vital for enhancing backfill strength and paste flowability. However, existing methods lack real-time monitoring and intuitive usability. …”
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China’s efforts on the CSEP and a retrospective case
Published 2025-12-01“…China has established a Testing Center on the Collaboration for the Study of Earthquake Prediction (CSEP) for standardized evaluation of current earthquake prediction methods. …”
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Methods for a time-dependent neutrino flare search with the KM3NeT/ARCA telescope
Published 2025-01-01“…This contribution provides an overview of the statistical methods under development by the KM3NeT Collaboration for time-dependent searches for neutrino flares. …”
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