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Prediction model of middle school student performance based on MBSO and MDBO-BP-Adaboost method.
Front Big Data
January 2025
School of Information Science and Technology, Shihezi University, Xinjiang, China.
Predictions of student performance are important to the education system as a whole, helping students to know how their learning is changing and adjusting teachers' and school policymakers' plans for their future growth. However, selecting meaningful features from the huge amount of educational data is challenging, so the dimensionality of student achievement features needs to be reduced. Based on this motivation, this paper proposes an improved Binary Snake Optimizer (MBSO) as a wrapped feature selection model, taking the Mat and Por student achievement data in the UCI database as an example, and comparing the MBSO feature selection model with other feature methods, the MBSO is able to select features with strong correlation to the students and the average number of student features selected reaches a minimum of 7.
View Article and Find Full Text PDFPrivacy-preserving approach for IoT networks using statistical learning with optimization algorithm on high-dimensional big data environment.
Sci Rep
January 2025
Department of Artificial Intelligence and Data Science, College of Computer Science and Engineering, University of Hail, Hail, Saudi Arabia.
In the present digital scenario, the explosion of Internet of Things (IoT) devices makes massive volumes of high-dimensional data, presenting significant data and privacy security challenges. As IoT networks enlarge, certifying sensitive data privacy while still employing data analytics authority is vital. In the period of big data, statistical learning has seen fast progressions in methodological practical and innovation applications.
View Article and Find Full Text PDFDaylight Saving Time and Automobile Accidents: Evidence From Chile.
Health Econ
January 2025
Big Data Analysis Department, Central Bank of Chile, Santiago, Chile.
Under the evidence that the Daylight Saving Time (DST) regime does not accomplish its primary goal of saving energy, I analyze one of the main side effects, automobile accidents in Chile between 2002 and 2018. I use a Regression Discontinuity Design (RDD) exploiting the discrete nature of the transition into DST and a Difference-in-Difference (DID) approach, taking advantage of the changes in dates that the policy starts and ends over the years. I find a 2.
View Article and Find Full Text PDFOptimising Asthma Self-Management: Preliminary Validation of an Arabic Version of the Inhaler Technique Questionnaire.
Pharmacy (Basel)
January 2025
Pharmacy, School of Health and Biomedical Sciences, RMIT University, Melbourne, VIC 3083, Australia.
Background: Correct inhaler technique is vital for managing respiratory conditions like asthma. Patients from culturally and linguistically diverse backgrounds are at higher risk of sub-optimal adherence and errors in inhaler technique. This study aimed to validate an Arabic version of the inhaler technique questionnaire for self-assessment of the metered-dose inhaler (MDI) technique by assessing agreement between observed and self-reported techniques among Arabic-speaking individuals with asthma in Australia.
View Article and Find Full Text PDFEffect of packaging materials and storage temperature on the shelf stability of paste.
Front Nutr
January 2025
Ethiopian Institute of Agricultural Research, Head Quarter, Food Science and Nutrition Research, Addis Ababa, Ethiopia.
Background: It is well known that deterioration is a big concern in the food supply chain. The problem is more serious in handling of traditional foods in developing country such as Ethiopia, due to the limited knowledge about the optimum processing, packaging and storage conditions.
Objective: This study aimed to investigate the effect of packaging material and storage condition on the shelf life of Ethiopian traditional paste.
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