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Item Effect Of Different Implant Locations And Abutment Types On Stress And Strain Distribution Under Non-Axial Loading: A 3-Dimensional Finite Element Analysis(JOURNAL OF DENTAL SCIENCES, 2024-02-27) Sakar, Didem; Guncu, Mustafa Baris; Arikan, Hale; Muhtarogullari, Mehmet; Aktas, Guliz; Reiss, Natalia; Turkyilmaz, IlserBackground/purpose: Dental implants have been a popular treatment for replacing missing teeth. The purpose of this study was to investigate the impact of engaging (hexagonal) and non -engaging (non -hexagonal) abutments in various six -unit fixed prosthesis on the stress distribution and loading located in the implant neck, implant abutment, and surrounding bone. Materials and methods: Three implants were digitally designed and inserted parallel to each other in edentulous sites of the maxillary right canine, maxillary right central incisor, and maxillary left canine. Titanium base engaging abutments, non -engaging abutments and connecting screws were designed. Five distinct models of 6 -unit fixed dental prosthesis were created, each featuring different combinations of various abutments. Forces (45 -degree angle) were applied to the prosthesis, allowing for the analysis of the stress distribution on the implant neck and abutments, and the maximum and minimum principal stress values on the cortical and trabecular bone. Results: Von Mises stress values and stress distributions located in the implant neck region due to the applied loading forces were analyzed. The overall stress values were highest while employing the hexagonal abutments. The maxillary left canine with a hexagonal abutment (model 5) reported the highest von mises value (64.71 MPa) while the maxillary right canine with a non -hexagonal abutment (model 4) presented lowest von mises value (56.69 MPa). Conclusion: The results suggest that both the various abutment combinations (engaging andItem Formal Yet Ineffective Opposition Coordination Under Competitive Authoritarianism: Nation Alliance In Turkey(THIRD WORLD QUARTERLY, 2024-12) Yavuzyilmaz, Hakan; Esen, BerkPre-electoral opposition coordination is the most effective strategy to counter contemporary forms of autocratisation. While scholars have recently begun to explore the factors that lead to the formation of pre-electoral alliances in competitive authoritarian regimes, the high variation in terms of their composition and effectiveness is generally neglected in the existing scholarship. There is a lack of research on why some inter-party coalitions have limited effectiveness in the electoral arena while others nominate optimal candidates through routinised and transparent procedures and run cohesive campaigns. Through a detailed analysis of the Nation Alliance (2018-2023) in Turkey, we argue that in the context of high regime vulnerability, power asymmetry between alliance partners and a high level of leadership control over candidate nomination in opposition parties hinder the potential effectiveness of formal pre-electoral alliances.Item THIRD WORLD QUARTERLY(THIRD WORLD QUARTERLY, 2024-12) Yavuzyilmaz, Hakan; Esen, BerkPre-electoral opposition coordination is the most effective strategy to counter contemporary forms of autocratisation. While scholars have recently begun to explore the factors that lead to the formation of pre-electoral alliances in competitive authoritarian regimes, the high variation in terms of their composition and effectiveness is generally neglected in the existing scholarship. There is a lack of research on why some inter-party coalitions have limited effectiveness in the electoral arena while others nominate optimal candidates through routinised and transparent procedures and run cohesive campaigns. Through a detailed analysis of the Nation Alliance (2018-2023) in Turkey, we argue that in the context of high regime vulnerability, power asymmetry between alliance partners and a high level of leadership control over candidate nomination in opposition parties hinder the potential effectiveness of formal pre-electoral alliancesItem How Can Prosocial Silence Be Golden? The Roles of Commitment to Learning and Organizational Support(LEARNING ORGANIZATION, 2024-03-12) Kizrak, Meral; Yeloglu, Hakki OkanPurposeDrawing from organizational learning theory, social exchange theory and positive psychology approach, this study aims to examine the relationship between commitment to learning and prosocial silence, as well as the mediating role of perceived organizational support (POS) in this relationship.Design/methodology/approachThe authors used path analysis to examine the relationships between research variables. Data were collected from 275 employees of private sector companies in Turkey through an online survey platform. To test the proposed hypotheses, the authors conducted regression and mediation analyses using the bootstrapping method.FindingsThe results indicate that the organization's commitment to learning positively and significantly impacts employee prosocial silence, and POS partially mediates this relationship.Practical implicationsManagers who aim to promote other-oriented and helping behavior in the organization should understand how prosocial silence can be golden. They should cultivate and model a learning mindset by focusing on strengths instead of weaknesses, reward experimentation and provide employees with timely feedback allowing them to think and reflect on their failures.Originality/valueAlthough the dominant position of previous studies endorses the detrimental sides of organizational silence, less research has focused on employees' prosocial silence behavior and the underlying mechanisms that may explain employees' tendency to remain silent with helpful intent, a gap this research attempts to fill.Item In COVID-19 Health Messaging, Loss Framing Increases Anxiety with Little-to-No Concomitant Benefits: Experimental Evidence from 84 Countries(2022) Sarioguz, Eyluel; Karaarslan, Cemre; 36185503The COVID-19 pandemic (and its aftermath) highlights a critical need to communicate health information effectively to the global public. Given that subtle differences in information framing can have meaningful effects on behavior, behavioral science research highlights a pressing question: Is it more effective to frame COVID-19 health messages in terms of potential losses (e.g., "If you do not practice these steps, you can endanger yourself and others") or potential gains (e.g., "If you practice these steps, you can protect yourself and others")? Collecting data in 48 languages from 15,929 participants in 84 countries, we experimentally tested the effects of message framing on COVID-19-related judgments, intentions, and feelings. Loss- (vs. gain-) framed messages increased self-reported anxiety among participants cross-nationally with little-to-no impact on policy attitudes, behavioral intentions, or information seeking relevant to pandemic risks. These results were consistent across 84 countries, three variations of the message framing wording, and 560 data processing and analytic choices. Thus, results provide an empirical answer to a global communication question and highlight the emotional toll of loss-framed messages. Critically, this work demonstrates the importance of considering unintended affective consequences when evaluating nudge-style interventions.Item Rethinking Principles of School Mathematics during the COVID-19 Pandemic: A Multiple-Case Study on Higher Education Courses Related to Teaching Mathematics(2021) Yilmaz, Aysenur; Kostur, MerveThe study was carried out with prospective teachers (PTs) in Primary School Teaching Program in a private university (n=43) and Middle School Mathematics Teaching program in a public university (n=46). In this paper, multiple-case study was adopted to explore PTs' opinions and to reveal the differences between two universities in terms of taking a mathematics education course through online teaching when the COVID-19 pandemic was very first appeared. The content of the course was based on the principles of school mathematics which were put forth by National Council of Teachers of Mathematics [NCTM]. Hence, the principles were used as the themes in the data analysis. For this purpose, a survey was used to explore the advantages and the challenges faced in online teaching from the PTs' perspective. The analysis of the data showed that the PTs at both universities had both positive and opposing views towards online mathematics education course as mandated by the pandemic. Besides, the technology principle in NCTM was found to be a principle in which the other principles were organized and applied according to it. PTs' reflections on the learning and teaching principles in practice were at the forefront. The reflections regarding the assessment and the equity principle were not among the principles that were frequently mentioned. Discussion on and suggestions for overcoming the challenges were elaborated on.Item Parents' Shares On Instagram In The Early Days Of The COVID-19 Pandemic(2022) Er, Suhendan; Yilmazturk, Nergis Hazal; Ozgul, Tuba; Cok, FigenMany people had to stay at home with their families during the pandemic because of social distancing guidelines and lockdowns. This study aims to explore the content of 'sharenting' of parents during the early COVID-19 pandemic and quarantine periods in Turkey. In total, 401 posts were collected from public Instagram accounts of parents who shared their own children's photos or videos between 18th30th April 2020, via the most commonly used hashtags of #korona (#corona) and #evdekal (# stayhome). Descriptive content analysis was conducted within identified categories. Results revealed that the popular hashtag #stayathome is particularly important for its optimistic representation of the lockdown process in society. Content analysis results show that with the inclusion of social media shares, family members spent more time together, which can be seen as one of the positive consequences of this period. In the results of continued sharenting during the early pandemic, children's faces were mainly kept visible, which might concern children's privacy. Additionally, mothers shared more during this period. Consequently, education to increase awareness of such concepts gains importance, especially for the well-being and privacy of children and any future implications.Item Validity and Reliability Testing Study of the Turkish Version of the Misophonia Scale(2022) Sakarya, Merve Deniz; Cakmak, EdaMisophonia is a disorder where individuals experience decreased tolerance to certain sounds that trigger intense emotional or physiological responses in them. People with misophonia can feel disgust, anger, anxiety, and they may experience anger outbursts when exposed to certain sounds that are insignificant to other people, such as chewing, lip-smacking, and breathing. There is no consensus on the prevalence, assessment, and management of misophonia. A major barrier to the research on misophonia is the lack of robust psychometric assessment tools. This study aims to meet the need for a measurement tool for clinical and population-based evaluations intended for misophonia by adapting the Misophonia Questionnaire (Wu et al., 2014) to Turkish. The research was carried out on 638 undergraduate students at Baskent University, from 18 to 26 years of age. Exploratory factor analysis was conducted on 420 participants (73% female, 27% male) and confirmatory factor analysis was conducted on 218 participants (62% female, 38% male). The statistical reliability was evaluated using the internal consistency coefficient, split half, and test-retest methods. In the Misophonia Questionnaire, misophonia was explained by the following three subscale factors: misophonia symptoms, misophonia emotions and behaviors-avoidance and internalization, and misophonia emotions and behaviors-aggression and externalization. These were used in the exploratory factor analysis. The confirmatory factor analysis found that the fit indexes were within acceptable limits. With the discriminant validity, the participants with clinical misophonia were observed to have a higher mean in all factors than those without. The internal consistency coefficient of the scale was calculated at .89, and for the three subscale factors mentioned earlier were .79, .85, and .83, respectively. The calculated test-retest reliability coefficient was .78, which applied to 75 participants. The split-half reliability coefficient was .83 (for each subscale factor, was .86, .87, and .81, respectively). With this study, the Misophonia Questionnaire, which can be used to evaluate misophonia in the general population, was adapted into Turkish. From the psychometric analysis, data supporting the validity and reliability of the Misophonia Scale were obtained.Item Effects of Non-Pharmaceutical Interventions Against COVID-19: A Cross-Country Analysis(2021) Gokmen, Yunus; Baskici, Cigdem; Ercil, Yavuz; 0000-0003-0712-1481; 33819370Prolonging non-pharmaceutical interventions (NPIs) used in the control of pandemics can cause a devastating effect on the overall economic and social welfare levels. Therefore, policymakers are facing a difficult duty in terms of implementing economically and socially sustainable and acceptable measures. The aim of this study is to investigate the effectiveness of NPIs implemented to control the COVID-19 pandemic. To this end, eight NPI measures were analysed, and their effects on the number of cases were investigated for France, Spain, China, and South Korea. In the study, the treatment effect of these mechanisms on the daily increase rate of the total number of cases during a certain period was analysed by using logarithmic linear regression with a dummy variables model. The findings indicate that the measures are effective against the spread of the pandemic at different levels. The findings also suggest that the most effective measure in decreasing the number of cases is workplace closure. An analysis comparing the effectiveness of countrywide measures and regional measures shows that school closing is the most effective measure to decrease the number of cases when implemented countrywide as opposed to regional implementation.Item An Overview of Deep Learning Algorithms and Their Applications in Neuropsychiatry(2021) Guney, Gokhan; Yigin, Busra Ozgode; Guven, Necdet; Colak, Burcin; Alici, Yasemin Hosgoren; Erzin, Gamze; Saygili, Gorkem; 0000-0003-3384-8131; 33888650Deep learning (DL) algorithms have achieved important successes in data analysis tasks, thanks to their capability of revealing complex patterns in data. With the advance of new sensors, data storage, and processing hardware, DL algorithms start dominating various fields including neuropsychiatry. There are many types of DL algorithms for different data types from survey data to functional magnetic resonance imaging scans. Because of limitations in diagnosing, estimating prognosis and treatment response of neuropsychiatric disorders; DL algorithms are becoming promising approaches. In this review, we aim to summarize the most common DL algorithms and their applications in neuropsychiatry and also provide an overview to guide the researchers in choosing the proper DL architecture for their research.
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