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YILMAZ SOYDAN, NACİYE TUBA

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YILMAZ SOYDAN

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NACİYE TUBA

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2022 - 20232
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Subject: Engineering, Computing & Technology (ENG) ×

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    PublicationOpen Access
    Bibliometric analysis of the published literature on machine learning in economics and econometrics
    (2022-12-01) ÇAĞLAYAN AKAY, EBRU; YILMAZ SOYDAN, NACİYE TUBA; ÇAĞLAYAN AKAY E., YILMAZ SOYDAN N. T., KOCARIK GACAR B.
    An extensive literature providing information on published materials in machine learning exists. However, machine learning is still a rather new concept in the fields of economics and econometrics. This study aims to identify different properties of published documents about machine learning in economics and econometrics and therefore to draw a detailed picture of recent publications from bibliometric analysis perspectives. For the aim of the study, the data are collected from the publications indexed by Web of Science and Scopus databases from the period 1991 to 2020. Inthe study, the data have been illustrated by VOSviewer for science mapping. The analysis of variance has also been used to identify the links between the number of citations of articles and years. The findings obtained provides information about the studies on machine learning in the relevant field conducted in the past, as well as providing an opportunity to gain knowledge about the researched area by shedding light on what the future research areas would be. There is no doubt that it attracts attention has increased significantly on machine learning in the field of economics and econometrics and academic publications on machine learning in the relevant field have increased over the last decade.
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    PublicationOpen Access
    Composition characterization and biological activity study of achillea vermicularis extract and extract-loaded nanoparticles
    (2023-01-01) YILMAZ SOYDAN, NACİYE TUBA; TAŞKIN, TURGUT; DOĞAN M., KOÇYİĞİT Ü. M., Çetin F. N., YILMAZ SOYDAN N. T., TAŞKIN T.
    © 2023 International Union of Biochemistry and Molecular Biology, Inc.Antiproliferative activity of Achillea vermicularis extracts was calculated on glial (C6) and keratinocyte (HaCaT) cell lines using XTT assay. It was observed that all extracts of A. vermicularis at the determined concentration were not cytotoxic in HaCaT cell lines. The nanoparticles (NPs) of the extract with the best cytotoxic activity was prepared, and necessary characterization studies were performed. Results showed that NP containing the extract has a lower IC50 value and more cytotoxic activity in C6 cells compared to the only extract. Furthermore, the antiepileptic potentials of these substances were explored in this study. The effect of A. vermicularis extracts on the enzyme activities of carbonic anhydrase I and II isoenzymes (hCA I and hCA II) was measured using spectrophotometry to achieve this goal. A. vermicularis extracts demonstrated high inhibitory activities compared to standard inhibitor (acetazolamide, AAZ), with IC50 values in the range of 5.04–10.8 μg/ml for hCA I, and 5.40–9.22 μg/ml for hCA II. High-performance liquid chromatography diode array detector (HPLC-DAD) was used in this investigation to assess the main chemicals found in the extract and NPs. The results showed that the ethanol extract (157.636 μg/mg extract) and NPs (4.631 μg/mg extract) had a significant amount of the 8-hydroxy salvigenin component.