Rektörlük
https://hdl.handle.net/11494/1985
2024-03-29T15:34:45ZEvaluation of factors strongly associated with nomophobia using structural equation modelling: A cross-sectional study
https://hdl.handle.net/11494/4889
Evaluation of factors strongly associated with nomophobia using structural equation modelling: A cross-sectional study
Çınar Özbay, Sevil; Özbay, Özkan; Akçam, Aysun; Kanbay, Yalçın
Aims: Netlessphobia (fear of being without the Internet) and nomophobia (fear of being without a smartphone/
mobile phone) causes anxiety, discomfort, distress or nervousness during non-use of phones. Past studies
assessing factors associated with nomophobia have not reported consistent results, and some uncertainties
persist. Moreover, only a few studies have measured nomophobia among the general population, and no study
has evaluated nomophobia and netlessphobia together. This cross-sectional study determined the factors strongly
associated with nomophobia, with an intent toward reducing nomophobia-related negative consequences.
Methods: The study sample included 523 individuals. ‘Demographic Characteristics Form’, ‘Fırat Nomophobia
Scale’ and ‘Fırat Netlessphobia Scale’ were used as data collection tools. The collected data were analysed using
SPSS 26 and AMOS 23. Structural equation modelling was used for predicting factors associated with nomophobia, and the goodness-of-fit values of this model were investigated.
Results: The variables netlessphobia, age, gender, marital status, education level, average time of daily use and
average number of daily checks of smart devices were included in the estimated baseline model of the study.
Among the independent variables with significant standardised regression coefficients in the model, the effect of
‘netlessphobia’ (91 %) was quite high. The effect of age variable, which was a significant contributor to netlessphobia in the model, was 15 %.
Conclusion: Netlessphobia and age are the factors that are strongly associated with nomophobia.
2023-01-01T00:00:00ZA Critique of the Granny Project from the Feminist Perspective
https://hdl.handle.net/11494/4141
A Critique of the Granny Project from the Feminist Perspective
Aydın, Sibel
Öztürk, H. K.
No abstract avaliable.
2018-01-01T00:00:00ZTuristik mekanlara yönelik sosyal medya paylaşımlarının yapay zekâ yöntemleriyle değerlendirilmesi: Artvin ili örneği
https://hdl.handle.net/11494/4098
Turistik mekanlara yönelik sosyal medya paylaşımlarının yapay zekâ yöntemleriyle değerlendirilmesi: Artvin ili örneği
Aksu, Muhammed Çağrı; Karaman, Ersin
Sosyal medya günümüzde birçok alanda olduğu gibi turizm alanında da kullanılmakta ve
bu kullanım neticesinde büyük miktarda veri açığa çıkmaktadır. Bu veriler hem turizm
tüketicileri için hem de turizm yöneticileri için yararlı bilgiler içermektedirler. Ancak sosyal
medya paylaşımlarının farklı türlerde veriler içermesi bu verileri analiz etmeyi ve verilerden
anlamlı bilgiler elde etmeyi zorlaştırmaktadır. Bu bilgi keşfi süreci için geleneksel analiz
yöntemlerinin ötesinde yöntemlere ihtiyaç duyulmaktadır. Bu çalışmada turistlerin ziyaret
ettikleri yerlere ilişkin sosyal medya ortamında paylaştıkları yorumlar ve fotoğraflar
üzerinde duygu durumu tespiti yapmak amaçlanmıştır. Duygu durumu tespiti için metin
verileri üzerinde destek vektör makineleri algoritması, fotoğraf verilerinde ise evrişimli sinir
ağları kullanılmıştır. Çalışmada ele alınan verilerin analizi için duygu analizi, konu
modelleme analizi, trend analizi ve korelasyon analizi kullanılmıştır. Gerçekleştirilen
analizler neticesinde çalışmanın uygulama alanını ziyaret eden ziyaretçilerin duygu
durumları, duygu durumlarının zamana göre değişimi, memnun oldukları ve memnun
olmadıkları konular tespit edilmiş, elde edilen bulgular yol ve hava durumu gibi dışsal
verilerle ilişkilendirerek doğrulanmıştır. Bu çalışma ile turizm işletmesi yöneticileri ve
politika geliştiricilere örnek bir çalışma yanında bir değerlendirme yaklaşımı da
sunulmuştur.; Today, as in many fields, social media is also used in tourism. This produce a large amount
of data which is also called big data. These data contain useful information for both tourism
consumers and tourism managers. However, the fact that social media posts contain
different types of data makes it difficult to analyze these data and to obtain meaningful
information from the data. Methods beyond traditional data analysis approaches are needed
for this knowledge discovery process. This study, it is aimed to determine the mood on the
comments and photos shared by the tourists on social media about the places they visited.
For mood detection, a support vector machines algorithm was used on text data and
convolutional neural networks were used on photographic data. As a result of the analyzes
carried out, the emotional states of the visitors who visited the application area of the study,
the change of their moods according to time, the subjects they were satisfied and dissatisfied
were determined, and the findings were verified by associating them with external data such
as road and weather conditions. Sentiment analysis, subject modeling analysis, trend
analysis and correlation analysis were used for analysis. With the study, an evaluation
approach was presented to tourism business managers and policy developers as well as an
exemplary study
2022-01-01T00:00:00ZMutagenic assessment of three synthetic pyridine-diaryl ketone derivatives
https://hdl.handle.net/11494/2464
Mutagenic assessment of three synthetic pyridine-diaryl ketone derivatives
Özkan, Hakan; Gültekin, Demet Demirci; Sezen, Selma; Özgeriş, Bünyamin; Güllüce, Medine; Tümer, Ferhan
Nowadays, there are increasing numbers of studies about synthetic chemicals according to the supply demands of bioactive chemicals. The current study aims to investigate genotoxic potential of bioactive synthetic pyridine compounds, phenyl-3-pyridinylmethanone (1), p-tolyl-3-pyridinylmethanone (2), and 4-methoxyphenyl-3-pyridinylmethanone (3), using Ames/Salmonella and Escherichia coli WP2 bacterial reversion mutagenicity test systems. The mutant bacterial tester strains sodium azide-sensitive Salmonella typhimurium TA1535, 9-aminoacridine-sensitive S. typhimurium TA1537, and N-methyl-N-nitro-N-nitrosoguanidine-sensitive E. coli WP2uvrA were used to detect the mutagenic potential of the test compounds. The results indicated that none of the test substances showed significant mutagenic activity on S. typhimurium TA1535, TA1537, and E. coli WP2uvrA bacterial strains up to 1 mu g/plate concentrations.
2015-01-01T00:00:00Z