Ticari Bilimler Fakültesi / Faculty of Commercial Science

Permanent URI for this collectionhttps://hdl.handle.net/11727/2074

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Start date: 2020search.filters.applied.f.rights: search.filters.rights.info:eu-repo/semantics/openAccess

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    Factors Determining Consumer Concerns About Clothing Industry Problems
    (2023) Erol boyaci, Gulay; Senturk ozer, Leyla; HOC-6390-2023
    Although the public concern towards unsustainable current production and consumption is growing, the inadequacy of global regulations on sustainability issues puts the responsibility on consumers. However, despite their concerns, some consumers need help shopping from sustainable brands. The current research examines some antecedents of consumer concern towards the clothing industry's environmental and sweatshop issues. Data is obtained from 372 Turkish fast fashion consumers through online platforms. Level of exposure to informative posts on social media platforms, the perceived knowledge and belief towards the issues positively affect concern. Also, decreasing concern towards these problems with advancing age is observed in Turkiye.
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    The Intellectual Structure of the Information Systems Field: Research Styles and Publication Patterns of North American and European Paradigms
    (2022) Ozkoc, Esma Erguner; Kefkir, Teoman Ahmet; Kirkbesoglu, Erdem; https://orcid.org/0000-0002-6781-9753; AAG-1506-2021; ABI-3973-2020
    This paper identifies the researches that have had the greatest impact on the Information Systems (IS) discipline and analyses the changes that have taken place in the intellectual structure of this discipline within the ongoing paradigmatic debates between Europe and North America. The methodology applies citation analysis and social network analysis to the articles published in four European and North American journals with the highest impact factors in the IS field. The findings of the study reveal a significant difference between the research styles and publication patterns of European and North American research traditions.
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    Angiotensin receptor neprilysin inhibitor for patients with heart failure and reduced ejection fraction: Real-world experience from Turkey (ARNi-TR)
    (2021) Ekici, Berkay; Yaman, Mehmet; Kucuk, Murathan; Dereli, Seckin; Yenercag, Mustafa; Yigit, Zerrin; Bas, Mehmet Memduh; Karavelioglu, Yusuf; Cakmak, Huseyin Altug; Kivrak, Tarik; Ozkan, Hakan; Altin, Cihan; Sabanoglu, Cengiz; Demirkan, Burcu; Atas, Ali Ekber; Kilicaslan, Fethi; Altay, Hakan; Tengiz, Istemihan; Erkan, Aycan Fahri; Kilicaslan, Baris; Olgun, Fatih Erkam; Durakoglugil, Murtaza Emre; Alhan, Aslihan; Zoghi, Mehdi; 34308869
    Objective: Heart failure (HF) is a growing public health problem with high morbidity and mortality. Recently, angiotensin receptor neprilysin inhibitor (ARNi) has emerged as a promising treatment for HF with reduced ejection fraction (HFrEF). Here, we shared our experience with the use of ARNi in HFrEF from multiple centers in Turkey. Methods: The ARNi-TR is a multicenter, nonintervention al, retrospective, observational study. Overall, 779 patients with HF from 22 centers in Turkey who were prescribed sacubitril/valsartan were examined. Initial clinical status, biochemical and echocardiographic parameters, and New York Heart Association functional class (NYHA-FC) values were compared with follow-up values after 1 year of ARNi use. In addition, the effect of ARNi on number of annual hospitalizations was investigated, and the patients were divided into 2 groups, depending on whether ARNi was initiated at hospitalization or under outpatient clinic control. Results: N-terminal pro-brain natriuretic peptide (NT-proBNP), left-ventricle ejection fraction (LV-EF), and NYHA-FC values improved significantly in both groups (all parameters, p<0.001) within 1-year follow-up. In both groups, a decrease in hemoglobin A1c (HbA1c) values was observed in ARNi use (p<0.001), and a decrease in daily diuretic doses and hospitalizations owing to HF were observed after ARNi use (all comparisons, p<0.001). Hypotension (16.9%) was the most common side effect in patients using ARNi. Conclusion: The ARNi-TR study offers comprehensive real-life data for patients using ARNi in Turkey. The use of ARNi has shown significant improvements in FC, NT-proBNP, HbA1c levels, and LV-EF. Likewise, reductions in the number of annual hospitalizations and daily furosemide doses for HF were seen in this study.
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    Investigation of some machine learning algorithms in fish age classification
    (2021) Benzer, Semra; Garabaghi, Farid Hassanbaki; Benzer, Recep; Mehr, Homay Danaei; 0000-0002-5339-0554; A-5050-2014
    Marine and freshwater scientists use fish scales, vertebrae, otoliths and length-weights values to estimate fish age because reliable fish age estimation plays a very important role in fish stock management. The advances in technology and the widespread use of artificial intelligence have revealed the use of traditional observations and techniques in the fishing industry. The aim of this study was to evaluate the effectiveness of three disesteemed machine learning algorithms (NB, J48 DT, RF) in comparison with ANNs which has been widely used in such studies in the literature. In culmination, all three algorithms outperformed ANNs and can be considered as alternatives in case of coming across noisy and non-linear datasets. Moreover, among these three algorithms J48 DT and RF showed exceptional performance where the data for specific fish age groups weren't abundant.