WoS İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://acikerisim2.beykoz.edu.tr/handle/20.500.12879/2

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Accreditation of Communication Education in Turkiye: Research on the Views of Administrator Academicians in Accredited Programs
(Istanbul Univ, Fac Communication, 2023) Kaygusuz, Erdinc
The subject of this study is an examination of how communication programs are accredited in Turkiye in the context of the views of administrator academicians. The research aims to explore the views of administrator academicians who are deans, vice deans, or heads of departments in their institutions regarding the accreditation of communication education in Turkiye. The study interviews 11 administrator academicians working in accredited undergraduate programs under communication faculties or the other faculties in which communication programs are included Turkiye, with the study sample being selected using multi-stage sampling. Proportional stratified and purposive sampling was also used to ensure that the groups in the universe are represented in proportion to their weights. Although minor problems exist in practice, accreditation has been concluded to play a developing role for institutions. Accordingly, accreditation allows institutions to renew, to correct the deficiencies in their organizational chart, to update the curriculum, to strengthen the teaching staff, to increase physical environments and opportunities, and to develop financial resources. In this respect, accreditation in communication education in Turkiye is seen as a concrete output rather than a corporate reputation provider. The findings support other studies that have focused on the benefits of accreditation.
Can Sustainability Reporting Make a Difference?: A Qualitative Analysis on Sustainability Reports of BIST Listed Agri-Food Companies in Turkey
(Ege Univ, Fac Economics & Admin Sciences, 2024) Gürsoy, Özgür Burçak; Akbas, Ilkay
Agri -business is a huge industry, including all operations from farm -level production to storage, manufacture, and distribution of agricultural commodities. This fact, together with worsening social and environmental conditions and pandemic crises, has added to a change in the perception of agriculture in economic construction. The following decades will most probably witness a resurgence of agriculture -based development recipes fed by social, environmental, and governance dimensions of sustainability. This article searches for the sustainability reports of agri-business firms listed in BIST in Turkey. A sampling includes 11 out of 64 listed agri-business firms having recent sustainability reports, which are examined by qualitative data analysis techniques with MAXQDA software. The first argument our findings support is that the agri-food sector is lagging in sustainability reporting compared to other sectors. Second, companies are more ready to comply with issues that are legally regulated. Third, environmental problems are more addressed than social and economic sustainability standards. This study also shows the relative unimportance of topics such as child labor, pesticide use, supply chain traceability, women entrepreneurship, and geographical indication, which can have positive impacts on the Turkish agricultural space if big companies integrate these topics more into their sustainability reporting processes. This article contributes to the literature on sustainability in general and reporting in the agri-food sector in particular.
Comparison of Different Heuristics Integrated with Neural Networks: A Case Study for Earthquake Damage Estimation
(Istanbul Univ, 2022) Malkocoglu, Ayse Berika Varol; Orman, Zeynep; Samli, Ruya
Earthquakes are among the most challenging natural phenomena to predict. Most of these unpredictable earthquakes result in the loss of human lives and property. Seismologists can estimate the probable location and magnitude of such earthquakes. However, the actual time and extent of their impact remain unknown. If the effects of possible earthquakes can be predicted, quick and accurate decisions can be made. For this purpose, developing predictive models about earthquakes is a prevalent and vital issue in the literature. In this study, various Machine Learning (ML) algorithms were compared on a public dataset of earthquakes, which had occurred worldwide and had a local magnitude Ml >= 3, and the algorithm with the highest performance was selected and optimized with various other algorithms. The performances of the models were compared using different performance evaluation metrics such as accuracy, Mean Square Error, Root-Mean Square Error, precision, recall, and f1 score. As a result, it was observed that the Artificial Neural Network (ANN) algorithm optimized with the Particle Swarm Optimization (PSO) algorithm produced the most successful result with an accuracy value of 0.82. Based on the obtained results, it is believed that this model can be used in different earthquake damage prediction studies and as a guide in emergency planning
Detection of Damaged Structures from Satellite Imagery Processed by Autoencoder with Boruta Feature Selection Method
(AVES, 2023) Muzoglu, Nedim; Adiguzel, Ertugrul; Akbacak, Enver; Karaslan, Melike Kaya
Many worldwide changing events, including meteorology, weather forecasting, disaster response, and environmental monitoring, are tracked by states or companies via satellite imagery. Early response to disasters is critical for human life. In these cases, artificial intelligence applications are also used to make rapid determinations about large geographical region. In this study, satellite images of flooded and undamaged structures in Hurricane Harvey were used. An autoencoder process has been applied to this dataset to reduce the noise in satellite imagery. AlexNet and VGG16 deep learning (DL) models are used to extract features from both datasets. The most effective features selected by the Boruta feature selection algorithm were classified with the support vector machine, and the highest classification accuracy of 99.35% was obtained. Since disasters involve the evaluation of very big datasets from large geographic areas, presenting the data with the smallest possible feature will facilitate the process. For this reason, by applying dimensionality reduction to the selected attributes, a 98.29% success was achieved in the classification with only 90 attributes. The proposed approach shows that DL and feature engineering are very effective methods to quickly respond to disaster areas using satellite imagery.
Future of European Security Policies: Is Geopolitical Europe Possible
(Ankara Univ European Union Research Centre, 2024) Ustun, Cigdem; Han, Ahmet K.
Since the aftermath of World War II, the pursuit of European autonomy in ensuring its security has been a constant topic on the European agenda, however never fully realized. The Lisbon Treaty facilitated Union representation as a legal entity and introduced Permanent Structured Cooperation (PESCO) to deepen defense ties. Geopolitical ambitions increased with von Der Leyen's 2019 call for a Geopolitical Commission, preceding the Russia-Ukraine war. Global geopolitical shifts amplify the need for a robust European role. However, the EU's historical struggle in forging a strong security policy fuels skepticism. This study assesses the EU's foreign policy in the Mediterranean and Black Sea amidst regional turmoil, employing a neo-classical realist lens and a global perspective.
Gender Equality and Femvertising Practices in Advertisements
(Mehmet Akif Ersoy University, 2025) Yaman, Duygu; Songur, Ahmet
Female figures, frequently featured as the central element in product and service advertisements, are pivotal in shaping marketing messages. In the broader context of gender representation, the roles attributed to women, both traditional and modern, have undergone significant transformations in contemporary society. Feminism, as a key factor influencing modern role distribution, has led to the emergence of feminist marketing, which is often referred to in the literature as femvertising. Using a content analysis methodology, this study examines commercials, awarded across various categories by the EFFIE organisation in 2022. The goal is to explore whether the feminist marketing in these advertisements is driven by commercial interests or is aimed at empowering the female figure from a societal perspective. A comparative analysis was conducted between the commercials of the same brands on March 8th, International Women's Day. The content analysis revealed that, while the awarded commercials predominantly emphasise traditional gender roles, the commercials for International Women's Day focus more on modern role distribution. Additionally, while femvertising appears less frequently in the International Women's Day commercials, it is more prevalent in the other award-winning ads. To broaden the scope of the research, semi-structured interviews were conducted with brands operating in Istanbul, which had received awards in the Mediacat 2022 Best Advertising Agencies category and were also included in the content analysis sample. The interviews were handled within the framework of a descriptive phenomenological approach. Semi-structured interviews were analysed through the MAXQDA program. They noted that the reason for the increase in femvertising application was that the brand's purpose was to create sympathy in the consumer and to make commercial profit. They stated that femvertising applications were advertising tactics. Another result of the study is that the concept of femvertising is perceived conceptually differently by advertisers and advertising agencies.
The Intolerance of Uncertainty Scale for Children: Reliability, Validity and Adaptation Study
(Klinik Psikiyatri dergisi, 2024) Erden, Gulsen; Celik, Cihat
Objective: The aim of this study is to adapt the Intolerance of Uncertainty Scale for Children (IUSC) into Turkish. Method: The sample of the study consists of 282 children aged 7-12 (M= 9.55, SD = 1.81) and their parents (M= 36.84, SD = 7.04). The Uncertainty Intolerance Scale (IUSC) for Children-Parent Form and Spence Anxiety Scale for Children-Parent (SASC-P) Form were used. The Cronbach Alpha internal consistency and two half test reliability coefficients were calculated for the reliability of the IUSC. Confirmatory Factor Analysis (CFA) was conducted for construct validity and the relationships between the IUSC and the SASC-Parent Form for content validity were evaluated. Results: The CFA analyzes revealed that the 12-item short form of the IUSC had good fit values, and one-factor and two-factor structure were confirmed. As a result of the analyzes significant correlations were found between the total score of the child and parent forms of IUSC-12 and the sub-factors of the SASC-P form, separation anxiety, panic attack, social phobia, obsessive compulsive disorder and agoraphobia scores (child form respectively, r = .25, r = .37, r = .40, r = .25, r = .25; p < .001; parent form respectively, r = .26 , r = .32, r = .43, r = .31, r = .22; p < .001). The reliability analyzes revealed that Cronbach Alpha coefficient for the child form of the IUSC-12 short form was .91 and for the parent form .91. The two half-test Spearman-Brown correlation coefficients were found to be r = .89 for the child form and r = .90 for the parent. Discussion: The results show that parent and child form of the IUSC-12 short form provide reliable and valid results in evaluating the intolerance of uncertainty levels of children in Turkey.
Lumbar Spine Implant Design with Finite Element Method and Determination of Biomechanical Effects
(Gazi Univ, Fac Engineering Architecture, 2023) Taherzadeh, Paniz; Kelleci, Kubra; Ozer, Sevil
Graphical/Tabular The restoration percentages of two different implants designed and simulated in six different directions are given in Figure A. Figure A. Restoration percentages of theimplant 1 and implant 2 devices in six different directionsPurpose: In this study, it was aimed to design a new pedicle-screw based posterior dynamic stabilization implant that can help stabilize the spine normally. In the study, two different implants were designed using the finite element method (FEM) and their biomechanical effects were compared.Theory and Methods: Stable and treated models of the lumbar spine with two different implants were simulated under physiological loading conditions according to Computed tomography data. Implant and device components were created with the SOLIDWORKS program. All designed devices were used together with ABAQUS CAD simulation program and MATLAB program to calculate range of motion, adjacent level effect and restoration percentages in six different directions (right-left axial rotation, right-left lateral bending and flexion-extension). In the study, 70% restoration percentage, which is an acceptable value in the movement of the spine with the implant, was tried to be achieved in all directions.Results: With the second device, which obtained optimum data and was found to be more flexible, a higher percentage of restoration was obtained in the Z and Y axes. Restoration values are 33% for extension, 53% for flexion, and 68% and 55% for lateral bending and axial rotations, respectively.Conclusion: It can be said that pedicle-screw implants designed with this simulation study will be applicable after experimental validation and clinical trials
Making Sense of Turkey’s Foreign Policy from the Perspective of Neorealism
(Uluslararası İlişkiler Konseyi Derneği, 2023) Oguzlu, Tarik; Han, Ahmet Kasim
This study singles out the impact of systemic and external factors on Turkey's foreign policy from the establishment of the Republic until now. Such an exercise accords with a neorealist interpretation of foreign policy, as the key emphasis is on the impact of the anarchical nature of the external environment, and the influence of the distribution of material power capabilities among states at a given time on foreign policy preferences. This in no way suggests that the internal and individual level of factors holds a secondary place in comparison to systemic/external factors. Yet this article simply highlights the importance of systemic factors, for the main reason that neorealism seems to account for foreign policy choices and behaviors of middle powers more convincingly than in the case of great powers.
New Generation University: A Model Proposal
(Deomed Publ, Istanbul, 2021) Toprak, Metin; Bayraktar, Yuksel; Erdogan, Armagan; Kolat, Deniz; Sengul, Mehmet
In the last quarter century, since the university is the main source of the human resources required by the knowledge society, structural and functional restructuring efforts of the university institution have been increasing to strengthen the positive impact on economic growth and social development through education and research activities. Today, the Anglo-Saxon and the Far East countries have the most successful university examples in this context; European universities come second in performance, although there are tremendous differences among member countries. Being a candidate for the European Union membership and as a member of the Council of Europe as the first signatory states of the Cultural Convention; implementation of reforms in the European Higher Education Area is obligatory for Turkey. In this study, an organizational and operating model has been developed in line with the European university reform agenda. CoHE's university approach which focuses on thematic and regional development has also been taken into consideration. Five innovations can be mentioned in terms of organizational and functional configuration of the model: (i) Profile of graduate and mission of the new generation university in the fields of education, research and community services, (ii) Policy development and implementation offices, (iii) University ecosystem consultation and steering committee and other committees and boards, (iv) Concept courses and branded courses, (v) Recognition of prior learning, (vi) Coop-education and solution partnerships.
De Novo Malignancy Development Following Kidney Transplantation: Managing Risks and Outcomes in Clinical Practice
(Galenos Publ House, 2025) Huseynov, Amil; Cicek, Sevim Nuran Kuslu
Objective: Denovo malignancy is a significant complication following kidney transplantation, attributed to prolonged immunosuppression.This study evaluates the incidence, risk factors, and clinical outcomes of denovo malignancies in kidney transplant recipients. Material and Methods: A retrospective cohort analysis was conducted on 1200 kidney transplant recipients between 2016 and 2023. Patients were categorized based on the presence or absence of de novo malignancies. Statistical analyses were performed to identify risk factors, including age, sex, comorbidities, and immunosuppressive regimens. Patient and graft survival were assessed using Kaplan-Meier analysis and the log-rank test. Results: Among the study population, 43 patients (3.6%) developed de novo malignancies. The most frequent malignancy types were non-melanoma skin cancers (27.9%) and post-transplant lymphoproliferative disorders (18.6%). Patients with malignancies exhibited a lower three-year survival rate (83.7%) compared to those without malignancies (91.4%), though the difference was not statistically significant (p=0.067). Graft survival at three years was slightly lower in the malignancy group (84.0% vs. 88.7%, p=0.146). Older recipient age was identified as a significant risk factor (hazard ratio=1.03 per year, p=0.025). Conclusion: De novo malignancy remains a concern in kidney transplant recipients, particularly among older patients. Regular screening protocols, lifestyle interventions, and individualized immunosuppressive regimens are essential to mitigate risk and improve outcomes.
A Post-Occupancy Evaluation Model Based on Spatio-Temporal Mapping Method for University Outdoor Spaces
(Yildiz Technical University, Fac Architecture, 2020) Gocer, Ozqur; Gocer, Kenan; Basol, Altug Melik; Kirac, Mustafa Furkan; Ozbil Torun, Ayse; Bakovic, Mujesira; Ozcan, Baris
Not only do university campuses consist of a variety of social and educational buildings, they also create an integrated system with their outdoor spaces and furniture, recreation and landscape areas. Outdoors have the potential to create social interaction, rest and relaxation, recreation, exchange of ideas and a strong sense of ownership and belonging. Creating a common identity for social life by enabling people to communicate and socialize with each other is the most important function of outdoor spaces. However, although the rationality of external spaces is designed, it is possible to use other than what is expected in practice. The relationship between the external spaces and the building groups, the adequacy, the duration of use, the accessibility and the interaction of the physical environment should be examined with a holistic approach to understand the difference between expectations and reality. In order to identify user needs in outdoor spaces as a way to assess if human use and design intentions are in fact successful, post occupancy evaluation (POE) is recommended as the most significant advanced method. Unfortunately, although studies on the evaluation of indoor spaces have been increasing day by day, there is no comprehensive study of POE that can be applied to the outdoor spaces, especially in university campuses. In this study, a POE method which discusses the variables that affect the use of outdoor space and the interaction between these variables is introduced. The proposed method was applied in a suburban university campus and the results were evaluated in terms of outdoor use.
Relationship of the Fear of COVID-19 with Residual Symptoms and Functionality in Patients with Bipolar Affective Disorder
(Çukurova Univ, Fac Medicine, 2022) Sen Gokceimam, Pinar; Yar, Selma Filiz; Kumsar, Neslihan
Purpose: The aim of this study was to determine the relationship between fear of COVID-19 and residual symptoms and functionality levels in patients with bipolar affective disorder.Materials and Methods: The study included 85 consecutive patients with bipolar affective disorder who were diagnosed with bipolar affective disorder according to DSM-5, were aged between 18-65 years, were literate and applied to the outpatient clinic. The patients were grouped as those with depressive/manic symptoms and those in remission with residual symptoms.Results: There was no statistically significant difference among the participants according to having or not having manic residual symptoms in the The Fear of COVID-19 Scale. The participants which did not have any depressive residual symptoms demonstrated statistically significant lower scores than the participants who had depressive residual symptoms in The Fear of COVID-19 Scale. The Hamilton Depression Scale and Functioning Assessment Short Test scores scores were significantly positively correlated with Fear of COVID-19 Scale scores.Conclusion: Patients with depressive residual symptoms score significantly higher in the Fear of COVID-19 Scale. Studying resilience, fear of illness and residual symptoms in patients during the stress period will also be valuable in terms of determining follow-up and treatment strategies.
Where Can Urodynamic Testing Help Assess Male Lower Urinary Tract Symptoms
(AVES, 2019) Gurbuz, Cenk; Drake, Marcus J.
Urodynamic studies assess the function of the bladder and bladder outlet. They are often useful in the assessment and diagnosis of patients presenting with lower urinary tract symptoms (LUTS). The evidence regarding the value and risks of invasive urodynamics remains insufficient. However, men with LUTS who are assessed by invasive urodynamics are more likely to have their management changed and less likely to undergo surgery. This review discusses the role of urodynamic diagnosis and application in the diagnosis and treatment of male LUTS.

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