WoS İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/394

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Department: search.filters.department.Abdullah Gül UniversityLanguage: search.filters.language.tr

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Now showing 1 - 10 of 54
  • Article
    Tax Compliance Behaviour and Lab Experiments: A Literature Review
    (Maliye Bakanligi, 2021) Demirtas, Burak Kagan
    The purpose of this article is to conduct a literature review of the papers based on laboratory experiments to analyze tax evasion behaviors of individuals. Although experimental studies in economics have become more and more important day by day, there are almost no publications on experimental economics in the Turkish literature. The studies are examined especially in terms of experimental designs because this study also aims to increase awareness about laboratory experiments. This review also discusses the criticism of laboratory experiments and concludes that the results obtained from laboratory experiments are important and it would be beneficial to support them with field experiments.
  • Article
    Citation - WoS: 4
    Strategic Sustainable Site Management in Higher Education Institutions
    (deomed Publ, Istanbul, 2016-12-01) Ayten, Asim Mustafa
    In retrospect, the role of scientific progress is of the utmost importance in the development and the current status of the universitites whose history is as old as the city life. The main determinants of the emergence of Enlightenment period have been the Reformation and the Renaissance movements in Europe. Thus, thoughts and ideas based on the mind instead of dogmas have made progress under the guidance of positivism and the city life has been indirectly affected from this development. The industrial revolution caused remodeling and changes in urban and spatial structure. Although educated and skilled labor force was not requested by the industry initially, that kind of force gained importance over time and the collaboration between industry and universities became inevitable. Until the years of 1940, Von Humboldt system, prevailing in Germany, changed and US system has become effective since 1945. During the years of 1960, universities became technology-based organizations and the institutions where scientific researches were conducted instead of the ones where only educational activities were carried out. Particularly, new settlements based on technology development regions attracted the attention. Within the order created by this relationship, different kinds of universities, research centers and spatial constructions were emerged either inside or outside the cities. In parallel with the growth of the cities, university buildings moved to the campuses outside the cities in accordance with the changing needs and new applications were made inside the cities and over the vast areas with different spatial typologies. In our study, campus site managements were examined in terms of environmental factors, logistics, traffic management, transportation and other criteria (population size, field size, space per person and etc.), sampled with a survey carried out on 22 universities and made an evaluation based on the responses taken by 17 universities. This study has shown that our universities have not got a large part of the criteria required to become a 3rd generation university. So as to compete with the other universities in the World, an approach with corresponding social, economic, and spatial dimensions which leaves an impression on the city, region, country and the whole World should be put into practice in the field of higher education.
  • Article
    Social Constructivism and Its Contributions to Explain the European Integration
    (Ankara Univ European Union Research Centre, 2015) Buyuktanir, Derya
    Social constructivist approach attained an important place within international relations discipline after 1980's. Constructivism focuses on social ontological elements such as inter-subjective meaning, norms, rules, institutions, discourse and communicative action. By this way it prevents these constructivist qualifications to be degraded to epistemological matter and also constitutes a starting point for the researches carried out on the European integration. Because, analyzing interaction between the subjects and social impacts shall assist to find the answers of the questions how and why European integration came to the current situation, to a great extent. Explaining this process within the scope of social constructivist approach rather than the integration theory shall provide to take many issues into consideration without getting far from the rational point of view.
  • Article
    Citation - WoS: 4
    Relationship Between Neutrophil Gelatinase-Associated Lipocalin and Mortality in Acute Kidney Injury
    (Galenos Yayincilik, 2018-12-03) Kayaalti, Selda; Kayaalti, Omer; Aksebzeci, Bekir Hakan
    Objective: Almost half of intensive care patients are affected by acute kidney injury (AKI). The purpose of this study is to determine parameters that can be used for predicting of early (within 28 days) and late (within 90 days) mortality in patients who are followed-up with AKI in intensive care units. Materials and Methods: In this study, a dataset that contains 50 patients with AKI in intensive care units was used. This dataset contains blood urea nitrogen, creatinine, plasma and urinary neutrophil gelatinase-associated hpocalin (NGAL), lactate dehydrogenase, alkaline phosphatase and gammaglutamyl transpeptidase values of patients who were admitted to intensive care for various reasons and who developed AKI on the days 1, 3 and 7. In addition to these values, laboratory results such as serum electrolytes on day 1, blood gas; vital signs such as mean arterial pressure, central venous pressure; and demographic data were also recorded. Data mining techniques were applied to determine correlation between all of these data and mortality. Results: The threshold level of urinary NGAL on day 7 was determined to be 69 ng/mL, and strong correlation was found between this threshold level and early mortality. Similarly, the threshold level of plasma NGAL on day 7 was determined to be 150 ng/mL, and this was highly correlated with early mortality. Besides, strong correlation was also found between the difference in the urinary NGAL levels on day 1 and 7, and early mortality. Conclusion: In this study, plasma and urinary NGAL levels were found to be closely related to early mortality in patients who were followed-up with AKI in intensive care units. On the other hand, any parameter associated with late mortality was not found.
  • Article
    Citation - WoS: 2
    Reconsidering the Changing Higher Education System from Sociocultural and Spatial Perspectives
    (Deomed Publ, Istanbul, 2020-07-27) Ayten, Asim Mustafa; Gover, Ibrahim Hakan
    Education and research are vital for social development and progress. The changing sociocultural structures and new needs have resulted in some important functional changes in higher education systems with a deep impact on universities serving these needs at the highest level. Besides experiencing these functional changes, the universities today have become spaces of socialization with their social, cultural and sports facilities, replacing their traditional spatial role of offering education only. The local dynamics changing with globalization have now reshaped the global and local roles of universities, highlighting the added value they provide to the society. Sociocultural changes trigger all these functional and structural changes in universities. Therefore, sociocultural factors and their importance should not be ignored in a changing higher education system. In this study, the impact of sociocultural factors with their related spatial structures on world higher education system will be analyzed within their historical contexts, and some suggestions for future universities will be offered considering the current changes. In the first part of the study, the changes in societies and universities will be presented within the historical context. In the second part, the spatial forms and structures of universities will be discussed. In the third part, the catalytic effects of the specific sociocultural factors will be highlighted and elaborated on. Finally, some suggestions will be made for the universities of the future in the light of the current situation and the data available.
  • Conference Object
    Citation - WoS: 1
    Citation - Scopus: 1
    Prediction of Type 2 Diabetes Using Metagenomic Data and Identification of Taxonomic Biomarkers
    (IEEE, 2024-05-15) Temiz, Mustafa; Kuzudisli, Cihan; Yousef, Malik; Bakir-Gungor, Burcu
    Nowadays, different molecular levels of -omics data on diseases are generated and analyzing these data with machine learning methods is one of the popular research topics. Among these data, the use of metagenomic data to facilitate the diagnosis, detection and treatment of diseases is increasing day by day. Type 2 diabetes (T2D) is a chronic disease characterized by insulin resistance and progressive dysfunction of pancreatic beta cells. While the number of people with diabetes is increasing by around 8% annually, the cost of treating the disease is rising by 18% per year. Therefore, the number of studies on the diagnosis, development and progression of T2D is increasing over time. The aim of this study is to achieve higher machine learning performance by using fewer metagenomic features and to achieve better classification performance by reducing computational costs. In this study, we compare the performance of three different methods using T2D-related metagenomic data. First, the MetaPhlAn tool is used to calculate the taxonomic species and their relative abundances in each sample. The SVM-RCE, RCE-IFE and microBiomeGSM tools used in this study are methods that perform classification by grouping and scoring features and are known to work well on complex datasets. In this study, the best results were obtained with the RCE-IFE tool with an AUC of 0.72 with an average of 125 features information. In addition, key taxonomic species identified by these tools as associated with T2D are presented in comparison to the literature.
  • Conference Object
    Citation - Scopus: 1
    PCB Component Recognition With Semi-Supervised Image Clustering
    (IEEE, 2021-06-09) Unal, Ahmet Emin; Tasdemir, Kasim; Bahcebasi, Akif
    Classification of surface mounted devices plays an important role on automated inspection systems of printed component board production. Limited number of publicly available datasets which the components are labeled and high intraclass variance in these datasets causes the supervised approches to be inefficient. In this study a deep learning method, enhanced with an unsupervised clustering system, which uses a small set of labeled data is proposed. The method compared with the current studies and the supervised systems. Most optimized setting reached high accuracy results by outrunning current classification methods.
  • Conference Object
    Lifetime Analysis of Underwater Wireless Networks Concerning Privacy With Energy Harvesting and Compressive Sensing
    (IEEE, 2019-04) Uyan, O. Gokhan; Gungor, V. Cagri
    Underwater sensor networks (UWSN) are a division of classical wireless sensor networks (WSN), which are designed to accomplish both military and civil operations, such as invasion detection and underwater life monitoring. Underwater sensor nodes operate using the energy provided by integrated limited batteries, and it is a serious challenge to replace the battery under the water especially in harsh conditions with a high number of sensor nodes. Here, energy efficiency confronts as a very important issue. Besides energy efficiency, data privacy is another essential topic since UWSN typically generate delicate sensing data. UWSN can be vulnerable to silent positioning and listening, which is injecting similar adversary nodes into close locations to the network to sniff transmitted data. In this paper, we discuss the usage of compressive sensing (CS) and energy harvesting (EH) to improve the lifetime of the network whilst we suggest a novel encryption decision method to maintain privacy of UWSN. We also deploy a Mixed Integer Programming (MIP) model to optimize the encryption decision cases which leads to an improved network lifetime.
  • Conference Object
    Investigation of Hepatocellular Carcinoma Molecular Mechanisms via in Silico Analyses
    (IEEE, 2020-09) Dogan, Refika Sultan; Saka, Samed; Gungor, Burcu Bakir
    Hepatocellular carcinoma (HCC) is the most common cause of cancer-related death in the world. The molecular changes in the organism during the development of HCC are not fully understood. The aim of the present study is to contribute to the identification of critical genes and pathways associated with HCC via integrating various bioinformatics methods. In this study, experiments were conducted on gene expression data of 14 HCC tissues and non-cancerous control tissues. A total of 1229 genes, which show a statistically significant change between the groups, were identified. Among these, 681 genes were upregulated and 548 genes were downregulated. Via mapping the detected genes into protein protein interaction networks, active subnetwork search, subnetwork topological analysis and functional enrichment analyses were carried out. The interactions between the molecular pathways affected by HCC were also presented.
  • Conference Object
    Graph-Based Biomedical Knowledge Discovery
    (IEEE, 2024-05-15) Altuner, Osman; Bakir-Gungor, Burcu; Bakal, Gokhan
    The digitalization process is progressing at a very high speed all over the world. While this situation provides many conveniences in today's life, it also brings along a problem such as analyzing and processing the huge digital data. This also applies to published academic studies. In this sense, the process of evaluating each study to access previously unknown information within the studies requires a very laborious process. For this reason, in this study, the publications obtained for the target diseases were analyzed by text analysis processes and converted into a graph structure that enables the linking of meaningful terms through biomedical relationships. On the dense graph structure obtained, binary biomedical entities with important links such as treats, causes, associated_with were queried. The entity pairs obtained according to the query results were also confirmed by manual search method and proved to be real connections. In this study, retrieval of known biomedical entities with the proposed approach solved the time-consuming manual search problem. There is also the potential to obtain unknown/unexplored possible new relationships (e.g., therapeutic, causal, etc.) with multiple binary linking patterns.