Abstract Life-course epidemiology is useful for describing and analyzing complex etiological mechanisms disease development, but existing statistical methods are essentially confirmatory, because they rely on a priori model specification. This limits the scope of causal inquiries that can be made, these suited mostly to examine well-known hypotheses do not question our established view health, ...

One of the most important and critical part of integrating already existing standalone applications is to design and implement a common data model and the corresponding data access layer which makes both data sources and processed results being shared and accessible over the applications in question. In case of even well-architected applications or application systems, establishing a common dat...

Integration of data resources is widely used by organizations involved in competitive, high-value-added domains. Various solutions are developed to deal with integration issues even if they lack rational methods to face emerging complexity due to semantic connectedness of data sources, especially in Life Sciences and Health. To get credible and best valuable output , needs and solutions must be...

This paper presents a data mining application in metabolomics. It aims at building an enhanced machine learning classifier that can be used for diagnosing cachexia syndrome and identifying its involved biomarkers. To achieve this goal, a data-driven analysis is carried out using a public dataset consisting of 1H-NMR metabolite profile. This dataset suffers from the problem of imbalanced classes...

A debutanizer column is an integral part of any petroleum refinery. Online composition monitoring of debutanizer column outlet streams is highly desirable in order to maximize the production of liquefied petroleum gas. In this article, data-driven models for debutanizer column are developed for real-time composition monitoring. The dataset used has seven process variables as inputs and the outp...

Abstract The factorization method provides a necessary and sufficient condition for characterizing the shape position of an unknown scatterer by using far-field patterns infinitely many time-harmonic plane waves at fixed frequency (which are also called multistatic data response matrix). This paper is concerned with single pattern to recover arbitrary convex polygonal scatterer/source. Its one-...

the present study was conducted to evaluate data driven learning (ddl) combined with computer assisted language learning (call) as an approach to improving vocabulary knowledge of iranian postgraduates majoring in teaching english, english literature and translation. the purpose was to help language learners get familiar with ddl as a student-centered method taking advantage of a computer progr...