Aksaray University Institutional Repository
Not a member yet
8503 research outputs found
Sort by
Negative Impacts of Technology and Digital Diseases
No full textComputers, the internet, and other smart devices have become indispensable in daily life. These tools make life easier in communication, access to information, time management, transportation, and many more. Unfortunately, not all the consequences of technology on people and society are advantageous and constructive. When misused, technological tools can have a harmful impact on lifestyle. The proliferation of new media has brought forth several issues, including the emergence of various addictions, cyberbullying, and privacy violations. The problems caused by digitalization are not limited to these. New types of diseases are emerging due to technological tools. These diseases cause or trigger more serious health problems. These disorders are usually caused by uncontrolled and unconscious use or the nature of technological devices. This study aims to examine disorders such as nomophobia, social media depression, phantom vibration syndrome, and cybersickness. The study focuses particularly on the causes of digital diseases, as well as their effects and preventative measures
Önlisans öğrencilerinin gelecek kaygılarına yönelik nitel bir araştırma
Get PDFKaygı, insan yaşamının her aşamasında var olmakla birlikte en çok gençlik döneminde kendini göstermektedir. Gençlik döneminin en önemli süreçlerinden biri olan öğrencilikte ise kaygıdan söz etmek mümkündür. Özellikle üniversite döneminde öğrencilerin gelecek kaygısı yaşadıkları söylenebilmektedir. Bu çalışmada önlisans öğrencilerinin gelecek kaygılarının incelenmesi amaçlanmıştır. Araştırmada nitel araştırma yöntemi kapsamında mülakat tekniği tercih edilmiştir. Araştırmada yaş, cinsiyet, not ortalaması, kişilik tipi gibi öğrencilerin demografik-kişisel özellikleri ile iş bulma kaygısı, eğitim süresince karşılaşılan zorluklar, gelecek planlaması, bölümü tercih etme nedeni, gelecek endişesi gibi öğrencilerin gelecek kaygısını belirlemeye yönelik 11 soruluk bir görüşme formu kullanılmıştır. Aksaray Üniversitesi Tıbbi Dokümantasyon ve Sekreterlik Programı`na kayıtlı 15 öğrenciden veri toplanmıştır. Elde edilen veriler betimsel analiz ve içerik analizine tabi tutulmuştur. Analiz sonucunda, istihdam kaygısı, atanamama endişesi, sınav stresi, derslerin zorluğu, uyum sağlayamama, ekonomik sorunlar, umutsuzluk, yaşam zorluğu, yanlış tercih, mezun sayısı ve bölümü sevmeme kavramlarının öğrencilerin gelecek kaygısı ile ilişkili faktörler olduğu belirlenmiştir. Sonuç olarak, bu çalışmanın gelecek kaygısı konusunda bir farkındalık oluşturacağı, ilgili paydaşlara yol göstereceği ve literatüre katkı sağlayacağı düşünülmektedir
Electrochemical testosterone biosensor based on pencil graphite electrode electrodeposited with copper oxide nanoparticles
No full textAccurately monitoring the blood levels of testosterone (TST) in a sensitive, simple, and rapid manner is of paramount importance for the diagnosis and treatment of various medical conditions, as well as for controlling pharmaceutical quality and facilitating doping detection. TST, the primary male sex hormone, plays a crucial role in facilitating human physical performance, protein synthesis, and the development of muscle mass. Consequently, TST and its analogues are frequently abused by athletes as performance-enhancing steroid in order to increase muscle mass and enhance their performance. The use of such steroids is strictly prohibited to guarantee fair play. In this study, we employed a pencil graphite electrode that was electrochemically modified with CuO nanoparticles (CuONPs) for determination of TST. The electrode response was significantly enhanced by approximately fourfold compared to the unmodified pencil graphite electrode (PGE) when electrodeposition CuONPs onto PGE surface was performed at a potential of −0.6 V for 200 s. The success of modification was confirmed through morphological analysis using scanning electron microscopy and energy-dispersive x-ray spectroscopy. Using square wave adsorptive stripping voltammetry analysis in Britton-Robinson buffer at pH 6.0, we demonstrated that the proposed sensor exhibited sensitivity to detect TST within a linear range of 5-200 nM. The detection limit of sensor was calculated 4.6 nM (1.32 ng ml−1). The sensor platform developed for the accurate, sensitive, and specific determination of TST holds tremendous potential for the development of point-of-care devices and their integration into lab-on-a-chip research
SoC estimation of lithium-ion batteries based on machine learning techniques: A filtered approach
No full textAccurate state-of-charge (SoC) estimation is an essential requirement for many situations where Li-Ion batteries (LiBs) are used. This ensures an efficient battery management system (BMS), so the battery can be protected from excessive discharge, and its life span can be maximized. But when it comes to electrified vehicles (xEVs), the SoC estimation accuracy becomes a more critical and indispensable prerequisite. Because the safety of xEVs during driving and the remaining range, which is an indicator of how far the vehicle can go, are directly related to the accurate SoC. However, the complex electrochemical reactions in the battery and the dependence on environmental variables make SoC estimation a challenging task. Traditionally, this is tackled by establishing either electrochemical or electrical battery equivalent models. Both methods suffer from some limitations, such as parameter identification, complex calculations, and model mismatching due to the aging factor. On the other hand, data-driven methods have recently become a popular choice for SoC estimation since they enable building data-based models rather than chemical reactions or equivalent circuit calculations. The model is built based on battery parameters such as current, voltage, battery type, and then used for SoC estimation. However, many studies in the literature examine only a few methods for SoC estimation. Also, these data-driven black box models can lead to outlier data as they are not observers. Thus, the aims of this study are twofold: First, to make a comprehensive comparison based on most of the ML methods. Second, to utilize several filters for outlier removal and measure their effectiveness. For these purposes,18 ML algorithms were handled in three main groups, and SoC estimation results were analyzed. Additionally, five different filters were used to improve the SoC estimation of these methods, and their comparisons were realized. From the results, it is clear that Bagging and ExtraTree algorithms are substantially better than other ML methods for SoC estimation since their Interquartile Range (IQR) is smaller than 3%, performance indices are the lowest ones, and curve matches are the best. Also, Rloess is the best filter among the others, although they all achieved high performance in outlier removal
The Medicinal Effects of Different Solvent Extracts of Pyracantha Coccinea Roem. Fruits: Heavy Metal Content, Antioxidant, and Antimicrobial Properties
Get PDFThe current investigation has been conducted to assess the total flavonoid content, total phenolic content, heavy metal composition, and antioxidant and antimicrobial activities of Pyracantha coccinea Roem. fruit extracts prepared with different solvents. Methods: Ethanol, diethyl ether, and hot water extraction were used as solvents to prepare the extract of Pyracantha coccinea Roem. fruit. Total phenolic ingredient was assessed by Folin-Ciocalteu assay, and the total ingredient of flavonoids was measured spectrophotometrically via AlCl3 assay. The antioxidant activities of the extracts were investigated via free radical scavenging assays, DPPH, and ABTS. The fruits were analyzed by Inductively Coupled Plasma/Mass Spectrometer to determine heavy metal content. The antimicrobial activities of the extracts were investigated using agar well diffusion method against Pseudomonas aeruginosa, Staphylococcus aureus, Bacillus cereus, and Candida albicans. Results: It was determined that the total flavonoid ingredient, total phenolic ingredient, ABTS and DPPH activities of the hot water extract were significantly higher than the other fractions. These parameters were found to be significantly higher in ethanol extract compared to ether extract. All extracts exhibited antimicrobial activity against Bacillus cereus and Pseudomonas aeruginosa while the hot water fraction exhibited the highest antibacterial effect against Pseudomonas aeruginosa. It was determined that Cr, Co, Ni, and Cu contents exceeded the toxicity thresholds that might be found in plants. Conclusion: These results suggest that Pyracantha coccinea Roem. fruit may be considered as a natural source of antioxidants and antimicrobial agents
Molecular and Technological Characterization of Saccharomyces cerevisiae from Sourdough
Get PDFDNA markers help detect the intraspecific genetic diversity of yeast strains. Eight ISSR (Inter Simple Sequence Repeats) primers were used to assess the intraspecific diversity of Saccharomyces cerevisiae (n = 96) from different populations (n = 3), evaluate the technological characteristics, and investigate trait-loci associations. The primers amplified 154 reproducible and scorable bands, of which 79.87% were polymorphic. The UPGMA (unweighted pair group method with arithmetic mean) dendrogram clustered 96 isolates into two main clusters, supported by STRUCTURE HARVESTER results (ΔK = 2). Analysis of molecular variance (AMOVA) indicated significant genetic differences between (15%) and within the populations (85%) (p < 0.001). Twenty-nine genetically distinct strains were selected for the technological characterization. Principal component analysis (PCA) revealed that five strains with high fermentation capacity, leavening activity, high growth index at 37 °C, and harsh growth conditions were technologically relevant. Trait-loci association analyses indicated that the highest correlation (r = 0.60) was recorded for the fermentation capacity on the 8th and 113th loci, amplified by ISSR-1 and ISSR-6 primers, respectively (p < 0.05). The strains yielding high performances and the associated loci amplified by ISSR markers possess a high potential to generate locus-specific primers to target the strains with high fermentation capacity
Genome-Wide Scan of Wool Production Traits in Akkaraman Sheep
Get PDFThe objective of this study was to uncover the genetic background of wool quality, a production trait, by estimating genomic heritability and implementing GWAS in Akkaraman sheep. The wool characteristics measured included fibre diameter (FD) and staple length (SL) at the age of 8 months and yearling fibre diameter (YFD), yearling staple length (YSL) and yearling greasy fleece weight (YGFW) at 18 months of age. Animals were genotyped using the Axiom 50 K Ovine Genotyping Array. Maximum likelihood estimations of a linear mixed model (LMM) were used to estimate genomic heritability, where GWAS was conducted following a score test of each trait. Genomic heritability estimates for the traits ranged between 0.22 and 0.63, indicating that phenotypes have a moderate range of heritability. One genome- and six chromosome-wide significant SNPs were associated with the wool traits in Akkaraman lambs. Accordingly, TRIM2, MND1, TLR2, RNF175, CEP290, TMTC3, RERE, SLC45A1, SOX2, MORN1, SKI, FAAP20, PRKCZ, GABRD, CFAP74, CALML6 and TMEM52 genes as well as nine uncharacterized regions (LOC101118971, LOC105609137, LOC105603067, LOC101122892, LOC106991694, LOC106991467, LOC106991455, LOC105616534 and LOC105609719) were defined as plausible candidates. The findings of this study shed light on the genetics of wool quality and yield for the Akkaraman breed and suggests targets for breeders during systematic breeding programmes
Bank failure risk: A study on Silicon Valley Bank, Signature Bank, and Silvergate Capital Corporations
Get PDFThis study investigates whether the ratio of long-term investment to total assets, the ratio of cash on hand to total assets, and the ratio of price-to-earnings are risk indicators for bank failures. Silicon Valley Bank (SVB), Signature Bank, and Silvergate Capital Corp., which experienced bank failure, and banks that are among the 20 largest banks in the USA are analyzed with the panel data method. Analyses were made using quarterly data between 2003Q4 and 2022Q4. It is revealed that the long-term investment to total assets ratio increases the bank failure risk. The risk of bank failure varies negatively with the cash on hand to total assets ratio. Bank failure risk rises as the price-to-earnings ratio rises. In terms of revealing the factors influencing the risk of bank failure and possible consequences, it is expected that the findings obtained could contribute to the literature
The relationship between the level of adaptation to old individuals and pain
No full textBu çalışmanın amacı; 65 yaş ve üzeri bireylerde yaşlılığa uyum düzeyi ile ağrı arasındaki ilişkinin araştırılmasıdır. Ocak-Mart 2022 tarihleri arasında sanal kartopu örnekleme yöntemiyle Mersin ilinde yürütülen tanımlayıcı nitelikteki bu araştırmaya 65 yaş ve üzeri 420 birey katıldı. Araştırmanın verileri Birey Tanıtım Formu, Yaşlılarda Uyum Güçlüğünü Değerlendirme Ölçeği ve Geriatrik Ağrı Ölçeği ile toplandı. "Google Forms" uygulamasında hazırlanan veri toplama formunun online anket linki yaşlılara veya yakınlarına e-posta ya da elektronik iletişim (WhatsApp, Facebook, Telegram, Instagram) yoluyla ulaştırılarak araştırma verileri toplandı. Araştırma verilerinin değerlendirilmesinde ortalama, standart sapma, yüzde, normallik analizinde Shapiro-Wilk testi, iki grubun karşılaştırılmasında Mann-Whitney U testi, ikiden fazla grup karşılaştırılmasında Benferoni düzeltmeli Kruskal-Wallis H testi ve iki değişken arasındaki ilişkinin değerlendirilmesinde Spearman korelasyon analizi kullanıldı. Bu çalışmada; yaşlıların Geriatrik Ağrı Ölçeği puan ortalamasının 36.13±25.85 olduğu ve orta düzey ağrı yaşadığı belirlenmiştir. Yaşlıların Yaşlılığa Uyum Güçlüğünü Değerlendirme Ölçeği puan ortalamasının 0.50±0.43 olduğu ve yaşlılığa uyum düzeyinin iyi olduğu belirlenmiştir. Yaşlıların %87.6'sının son bir yıl ve %81.7'sinin son bir ay içerisinde ağrı yaşadığı, 75 yaş ve üzerindekilerin 65-74 yaşındakilerden, kadınların erkeklerden, bekarların evlilerden, kronik hastalığı olanların olmayanlardan, yarı bağımlı ve bağımlıların bağımsızlardan, son bir yıl ve bir ay içinde ağrı yaşayanların yaşamayanlardan daha şiddetli ağrı yaşadığı ve yaşlılığa uyum düzeyinin daha düşük olduğu belirlenmiştir. Bu çalışmanın sonucuna göre ağrı düzeyi yüksek olan bireylerin yaşlılığa uyum güçlüğü yaşadığı belirlenmiştir. Bu nedenle kadın, bekar, kronik hastalığı ve ekonomik durumu düşük olan, GYA yardım alan ve bağımlı yaşlıların ağrısı değerlendirilirken daha dikkatli olunması ve GYA bağımsızlığın arttırılması ve ağrı yönetimine önem verilmesi önerilmektedir.This study aims to; investigate the relationship between the level of adaptation to old age and pain in individuals aged 65 years and older. Between January and March 2022, 420 individuals aged 65 and over participated in this descriptive study, which was conducted in Mersin with the virtual snowball sampling method. The data of the study were collected with the Individual Introduction Form, Assessment Scale of Adaptation Difficulty for the Elderly and Geriatric Pain Scale. The online survey link of the data collection form prepared in the "Google Forms" application was delivered to the elderly or their relatives via e-mail or electronic communication (WhatsApp, Facebook, Telegram, Instagram) and the research data was collected. In the evaluation of the research data, the Shapiro-Wilk test was used for mean, standard deviation, percentage, normality analysis, the Mann-Whitney U test was used to compare two groups, the Benferoni-corrected Kruskal-Wallis H test was used to compare more than two groups, and the Spearman correlation analysis was used to evaluate the relationship between two variables. In this study; It was determined that the mean score of the Geriatric Pain Scale of the elderly was 36.13±25.85 and they experienced moderate pain. It was determined that the mean score of the Assessment Scale of Adaptation Difficulty for the Elderly was 0.50±0.43 and the level of adaptation to old age was good. It was determined that 87.6% of the elderly experienced pain in the last year and 81.7% in the last month, those aged 75 and over experienced more severe pain than those aged 65-74, women from men, singles from married, those without chronic diseases, semi-dependents and dependents from independents, those who experienced pain in the last one year and one month than those who did not experience pain, and the level of adaptation to old age was lower. According to the results of this study, it was determined that individuals with high levels of pain experienced difficulties in adapting to old age. For this reason, it is recommended to be more careful when assessing the pain of women, single, chronically ill and low-income, dependent and dependent elderly people, to increase the independence of ADL and giving importance to pain management
Islamic banking in Bangladesh: a literature review and future research agenda
No full textIn recent years, Islamic banking (IB) has received a lot of scholarly interest, as seen by the substantial increase in publications on the subject worldwide. The increasing rate of publications on IB indicates that this subject has attracted a substantial amount of scholarly attention. It has also been a prioritized topic for many banking and financial scholars in Bangladesh. This paper aims to conduct a bibliometric analysis to assess the research on IB in Bangladesh. Design/methodology/approach: The method used in this study is a bibliometric analysis of the sample literature collected in January 2022 from the SCOPUS database. The sample size of the study is 120 articles published between 1999 and 2021 which meet the specific selection criteria. To analyze the data, software such as Rstudio (Rshiny), Microsoft Excel and VOSviewer have been used. The analyses were performed in three broad categories: overall performance indicators, citation analysis and cross-dimensional keyword analysis, followed by a brief content analysis that identifies research streams. Findings: This paper shows a notable increase in the number of publications between 2012 and 2021 with Alam M.K. being the highest contributor to this momentum publishing 12 articles. The findings also highlight the most contributing countries, organizations, publications, articles, sources and subjects. Out of 120 articles, this study has identified 14 research streams that have already been investigated by previous authors. The research streams include the growth of IB in Bangladesh; corporate social responsibility; Islamic human resource management; comparative study; customer satisfaction; development issues; efficiency of Islamic banks; green banking; Islami Bank Bangladesh Limited; IB industry; Islamic finance; Islamic microfinance; Shariah governance; and theoretical aspects of IB in Bangladesh. This study further identified future research agenda with specific research questions. Research limitations/implications: This research is limited to journal articles published in English in Scopus-indexed publications. Further research could include various databases, such as the Web of Science, and increase studied units. While this study focused only on bibliometric analysis and research streams, future studies may center on the systematic review of articles published on specific topics. Originality/value: Although IB is a rising sector in the financial system of Bangladesh, to the best of the authors’ knowledge, this is the first bibliometric analysis of IB in Bangladesh. The 14 research streams identified in this study also uniquely provide 10 future research agendas with 39 specific research question