Results 11 to 20 of about 205,138 (260)
Data Detectives: A Data Science Program for Middle Grade Learners
Data science is a highly interdisciplinary field that comprises various principles, methodologies, and guidelines for the analysis of data. The creation of appropriate curricula that use computational tools and teaching activities is necessary for ...
JaCoya Thompson +1 more
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Forecasting COVID-19 Disease Cases Using the SARIMA-NNAR Hybrid Model
Background: COVID-19 is a new disease that is associated with high morbidity that has spread around the world. Credible estimating is crucial for control and prevention.
İbrahim Demir, Murat Kirisci
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Identification of prognostic and predictive biomarkers in high-dimensional data with PPLasso
In clinical trials, identification of prognostic and predictive biomarkers has became essential to precision medicine. Prognostic biomarkers can be useful for the prevention of the occurrence of the disease, and predictive biomarkers can be used to ...
Wencan Zhu +2 more
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Performance of epistasis detection methods in semi-simulated GWAS
Background Part of the missing heritability in Genome Wide Association Studies (GWAS) is expected to be explained by interactions between genetic variants, also called epistasis. Various statistical methods have been developed to detect epistasis in case-
Clément Chatelain +3 more
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This research attempts to depict a sentiment comparison of the top 5 E-commerce platforms in Indonesia by gathering the emotional tone behind sentence contents related to customer sentiments, customer experiences, and the brand reputation of E-commerce ...
R. A. E. Virgana Targa Sapanji +2 more
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Analysis and Forecasting of Fire incidence in Davao City
Fire incidence is a big problem for every local government unit in the Philippines. The two most detrimental effects of fire incidence are economic loss and loss of life.
Merlito M. Villa, Roel F. Ceballos
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In this paper, the climate and environmental datasets were processed by the scripts of Generic Mapping Tools (GMT) and R to evaluate changes in climate parameters, vegetation patters and land cover types in Burkina Faso.
Polina Lemenkova, Olivier Debeir
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The automated classification of ambient air pollutants is an important task in air pollution hazard assessment and life quality research. In the current study, machine learning (ML) algorithms are used to identify the inter-correlation between dominant ...
Omar F. Althuwaynee +2 more
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Background: In adults aged ≥60 years, two doses of the herpes zoster subunit vaccine (HZ/su; 50 µg varicella-zoster virus glycoprotein E [gE] and AS01B Adjuvant System) elicited humoral and cell-mediated immune responses persisting for at least six years.
Tino F. Schwarz +14 more
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analyzeR: A SonarQube plugin for analyzing object-oriented R Packages
Automated Static Analysis Tools (ASATs) analyze source-code to capture defects and ensure higher quality. SonarQube is a renown ASAT that supports mainstream programming languages. However, R programming is not included.
Pranav Chandramouli +2 more
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