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- MakaleAçık Erişim2025Scopus SJRQ1Incorporating the HPLC-ESI-Q-TOF-MS profiles with the biochemical properties of eight Salvia species
Llorent-Martínez, Eulogio J.; Nilofar; Sinan, Kouadio Ibrahime; Darendelioglu, Ekrem; Bahsi, Muammer; Polat, Rıdvan; Cakilcioglu, Ugur; Orlando, Giustino; Ferrante, Claudio; Zengin, Gokhan
Salvia, a widely recognized genus globally esteemed for its traditional and medicinal applications, prompted our investigation into the methanol and water extracts of eight Salvia species native to Turkey. These species included S. aucheri, S. candidissima, S. divaricata, S. virgata, S. multicaulis, S. palestina, S. trichoclada, and S. cerino-pruinosa. Our study aimed to assess their biological properties and chemical composition. Utilizing HPLC-ESI-Q-TOF-MS, we identified chemical constituents in the extracts, while antioxidant (radical quenching, reducing power, and metal chelating) and enzyme inhibitory (amylase, glucosidase, tyrosinase, and cholinesterase) activities were evaluated for biological activities. One hundred thirty-one compounds were characterized in the tested extracts. Although many compounds belonging to different chemical families were identified, the main compounds in all the extracts were rosmarinic and sagerinic acids, along with several salvianolic acid isomers. Notably, the methanol extracts displayed superior antioxidant properties overall, with S. cerino-pruinosa exhibiting the highest activity among them, except for metal chelating. Similar to the antioxidant test results, the methanol extracts were more active than the water extracts in the enzyme inhibition tests. Multivariate analysis further highlighted the distinctiveness of the water extract of S. cerino-pruinosa. In conclusion, our findings underscore the biopharmaceutical potential of the tested Salvia species, suggesting their significance as sources of bioactive agents for health-promoting applications.
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İncele - MakaleYalnız künye2024Scopus SJRQ4A Note on a New Bivariate Copula Defined with a Piecewise Generator Function
Chesneau, Christophe; Susam, Selim Orhun
Copulas are essential probability tools for characterizing the joint distribution of random variables. In this article, we contribute to the topic by studying special bivariate copulas. They have the property of being defined with piecewise components and are designed for the analysis of data that have dependence structures with distinct substructures in square zones. The theoretical properties of the copulas are studied, with emphasis on their mathematical validity and some dependence measures. In particular, it is shown that the Kendall tau coefficient has a simple expression that is governed by several parameters, demonstrating the flexibility of the approach. In addition, a real data example is provided to demonstrate the applicability of the copulas. Fair comparisons with other standard copulas motivate their use in other practical scenarios.
- BildiriAçık Erişim2017Sosyal aǧ analizi ve veri görselleştirme araçlarinin incelenmesi ve uygulamali karşilaştirilmasi
Bürhan, Yücel; Baykara, Muhammet; Daş, Resul
Social network analysis has become an important issue in recent years because of the development and use of social networks widespread. Almost any kind of data can be easily obtained as valuable information about actors from these data. In this study, general information about the most used social network analysis and visualization tools are given. The author-subject network that analyzed with the help of link estimation methods, the author-writer network showing the links between co-authors is drawn and displayed visually through four different social network analysis and visualization tools.
AtıfScopus1OpenAlex5İncele