Publications by authors named "S Aref"

The PERSIAN eye cohort study is a population-based study that evaluates the overall prevalence of cataracts and their subtypes (nuclear sclerosis, cortical, and PSC) in Iran. In this study, from January 2015 to September 2021, 16,016 participants over 35 years of age from four provinces who were selected by random cluster sampling were examined. Demographic information, education, socioeconomic status, and place of residence were collected through interviews.

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This study assesses the initial effects of the 2016 Brexit referendum on the mobility of academic scholars to and from the United Kingdom (UK). We leverage bibliometric data from millions of Scopus publications to infer changes in the countries of residence of published researchers by the changes in their institutional affiliations over time. We focus on a selected sample of active and internationally mobile researchers whose movements are traceable for every year between 2013 and 2019 and measure the changes in their migration patterns.

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Community detection is a classic network problem with extensive applications in various fields. Its most common method is using modularity maximization heuristics which rarely return an optimal partition or anything similar. Partitions with globally optimal modularity are difficult to compute, and therefore have been underexplored.

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Non-homologous chromosomal contacts (NHCCs) between different chromosomes participate considerably in gene and genome regulation. Due to analytical challenges, NHCCs are currently considered as singular, stochastic events, and their extent and fundamental principles across cell types remain controversial. We develop a supervised and unsupervised learning algorithm, termed Signature, to call NHCCs in Hi-C datasets to advance our understanding of genome topology.

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Article Synopsis
  • The localization and prognosis evaluation of peripheral nerve injuries is difficult in acute cases, but high-resolution ultrasound (HRUS) may provide a cost-effective imaging solution.
  • A systematic review and meta-analysis of 15 studies demonstrated HRUS's high diagnostic accuracy for traumatic nerve injuries, with sensitivity at 92% and specificity at 86%.
  • The findings suggest that HRUS can effectively complement existing diagnostic methods, but further research is needed to explore the ultrasound characteristics of these injuries.
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