Publications by authors named "A Valeanu"
Article Synopsis
- - The study investigates the role of oxidized LDL particles (LDLox) in assessing cardiometabolic risk, focusing on their relationship with other biomarkers and risk factors using data from 1089 participants aged 40-75.
- - Researchers performed correlation analyses and developed machine learning models to predict risks associated with high blood pressure and obesity, achieving promising validation scores that highlighted the significance of LDLox.
- - The findings provide new insights into how LDL oxidation may interact with aging markers to influence cardiometabolic health, suggesting that further research with larger groups could enhance clinical assessment tools.
Introduction: The online misinformation might undermine the vaccination efforts. Therefore, given the fact that no study specifically analyzed online vaccine related content written in Romanian, the main objective of the study was to detect and evaluate tweets related to vaccines and written in Romanian language.
Methods: 1,400 Romanian vaccine related tweets were manually classified in true, neutral and fake information and analyzed based on wordcloud representations, a correlation analysis between the three classes and specific tweet characteristics and the validation of several predictive machine learning algorithms.
A new dust data assimilation scheme has been developed for the UK version of the Laboratoire de Météorologie Dynamique Martian General Circulation Model. The Analysis Correction scheme (adapted from the UK Met Office) is applied with active dust lifting and transport to analyze measurements of temperature, and both column-integrated dust optical depth (CIDO), (rescaled to a reference level), and layer-integrated dust opacity (LIDO). The results are shown to converge to the assimilated observations, but assimilating either of the dust observation types separately does not produce the best analysis.
View Article and Find Full Text PDFDiagnostic and treatment plans in cystic jawbone tumors are often difficult to address. The etiopathogenic links involved in cell-matrix differentiation disorders are complex. Quantification of the inflammatory process in the evolution of cystic odontogenic lesions highlights a particular reactivity of the host, especially age-dependent and the endodontic-periodontal space interrelation, drawing attention to the difficulties of etiopathogenic, evolution, prognostic and treatment of these lesions.
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