GCNCDA: A new method for predicting circRNA-disease associations based on Graph Convolutional Network Algorithm.

Numerous evidences indicate that Circular RNAs (circRNAs) are widely involved in the occurrence and development of diseases.Identifying the association between circRNAs and diseases plays a crucial role in exploring the pathogenesis of complex diseases and improving the diagnosis and treatment of diseases.However, due to the complex mechanisms betw

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An updated and comprehensive review of the morphology, ethnomedicinal uses, phytochemistry, and pharmacological activity of Aster tataricus L. f

Ethnopharmacological relevance: Aster tataricus L.f., an extensively used herb in traditional Chinese medicine for more than 2000 years, is known as “Zi wan” or “Fan huncao”.Its dried root and rhizome hold great promise in the treatment of cough, asthma, tumor, inflammation, etc.Aim of the study: This literature review summarizes the morpho

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Lead poisoning linked to occupational exposure - case reports

Introduction: Lead is one of the oldest widely used industrial metals.Throughout the ages, its significant toxicity caused poisoning of exposed people.Even today occupational exposure remains a significant hazard.Aim: The aim of the study is to depict the risk associated with lead exposure on the base of the case report.Methods: Patient’s medical

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