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Flattery, Truth-Telling, and Social Theory
No full textThis article deals with the ‘problem’ of flattery (kolakeia) as a specific form of activity, contrasted to parrhesia. Who is the flatterer? In which ethical-political contexts does the flatterer act? With what cultural, social, and political consequences? Discussing such questions, the article revitalizes the concept of flattery, showing its enduring constitutive role in social life. I start with giving an account of flattery in ancient literature, focusing on Aristotle, Plato, and Aristophanes. Then I move to early modernity and discuss Machiavelli’s and Castiglione’s approach to flattery. Finally, I turn to flattery in late modernity. This analysis is coupled with a discussion of de Certeau’s concept of ‘tactics’ and the concept of ‘profanation’ in Spinoza and Agamben – concepts that are apparently comparable to flattery but are very different. To end with, the article synthesizes its arguments and relates different styles of flattery to each other systematically, discussing some practical-political consequences of flattery. © 2025 Elsevier B.V., All rights reserved
Relationships Between Student Engagement in Higher Education and Academic Success and Desire to Attend University
No full textThe purpose of this research is to examine the relationships between student engagement in a higher education system and the desire to attend university and academic success. A causal design was used in the research. The research sample consisted of 3,093 undergraduate students in Turkey, selected using the stratified sampling method. NSSE was used as a data collection tool in the study. Pearson product-moment correlation analysis, simple linear regression analysis, and multilevel logistic regression analysis were used to analyze the data. Within the scope of the research, it was determined that student engagement statistically significantly predicted academic success and the desire to attend university. As students' level of engagement increases, their academic success and desire to attend their universities also increase. In this context, universities should establish institutional policies to enhance student engagement and regularly evaluate their progress by measuring the level of student engagement within their institutions
Correlates of Young Children's Screen Time: Child-, Parent-, and Home-Related Factors
No full textYoung children spend a significant part of their day in front of screens. Existing literature has shown associationsbetween children's screen time and various demographic, parent7related, and home7related factors. Most evidencecomes from high7income, developed countries with access to early childcare options. Investigating these factors inT & uuml;rkiye is crucial to compare findings across countries and identify new variables that might influence children'sscreen time. The first goal of this study was to examine child7related factors (e.g., age), parent7related factors (e.g.,parental stress), and home7related factors (e.g., background television) that may be associated with young children'sscreen time through an online survey. The second goal was to investigate the relationship between children's screentime and parents' perceived social support for the first time in the literature. A total of 647 parents with children younger than six (M = 41.5, SD = 17.9) months) participated. Results revealed that children's screen time was positivelycorrelated with parents' positive attitudes toward children's use of technology, parents' own screen time, child ageand distractibility as perceived by the parents, and the frequency of background television at home. Conversely,children's screen time was negatively related to parental education, household income, and parents' perceived social support. Hierarchical regression analysis indicated that the frequency of background television at home, parents' positive attitudes toward children's use of technology, and child age emerged as the strongest predictors of children's screen time. This study is the first to propose and demonstrate the role of social support in determining children's screen time. Our findings may provide valuable insights for designing intervention strategies to reduce screen time among preschoolers.Emerging Sources Citation Inde
Gendered Dynamics of Rural Livelihood Diversification: Tea Farmers in the Black Sea Region of Turkey
No full textThis study examines the gendered dynamics of rural livelihood diversification in tea farming communities in Rize, Turkey, with the onset of neo-liberal policies. Drawing on extensive fieldwork, the research explores how migration, access to education, and land ownership intersect with the unique characteristics of tea farming, such as its seasonal harvest cycle and labour-intensity, to shape gendered labour division. It highlights how migration intensifies the feminisation of agriculture by increasing women's agricultural and domestic responsibilities. Additionally, education, while a potential pathway for mobility, often reinforces traditional gender roles for female students balancing household duties, agricultural work, and studies. Finally, the study underscores how patriarchal norms in land ownership, marginalise women and consolidate male control over land, perpetuating structural inequalities. By situating these findings within the specific socio-economic and ecological context of tea farming, this study contributes to broader debates on rural livelihood diversification, gender inequalities, and the intersection of agricultural practices with neo-liberal economic policies.Recep Tayyip Erdogan University Scientific Research Fund [SKG-2018-908, SHD-2024-1815]This work was supported by the Recep Tayyip Erdogan University Scientific Research Fund under Grant No. SKG-2018-908 and SHD-2024-1815. The funding source had no role in the study design, data collection, analysis, interpretation, or manuscript preparation.Social Science Citation Inde
Securitization and Digital Diplomacy: Zelenskyy's 'Security-Tweet' During the Russia-Ukraine War
No full textThis article explores the link between social media and securitization in the context of the Russia-Ukraine war, post-February 2022, by employing the main tenets of the Copenhagen and Paris Schools. Zelenskyy's primary objectives in employing securitization language were to advance EU candidacy, garner support for the closure of the Turkish Straits, and secure US aid for Ukraine, as well as sanctions against Russia. Our geospatial analysis of retweets of Zelenskyy's posts indicates that the public accepted Zelenskyy's securitization moves in Europe, T & uuml;rkiye, and the US. Our further qualitative analysis reveals that Zelenskyy convinced enabling audiences that Russia is a threat not only to Ukraine, but to all of Europe and the world. Although it cannot be claimed that Zelenskyy's digital diplomacy alone caused the policy outcomes, our analysis illustrates how political leaders may use digital diplomacy in times of crisis to shape a discursive environment that justifies their policy preferences.Social Science Citation Inde
Advancing Image Spam Detection: Evaluating Machine Learning Models Through Comparative Analysis
No full textImage-based spam poses a significant challenge for traditional text-based filters, as malicious content is often embedded within images to bypass keyword detection techniques. This study investigates and compares the performance of six machine learning models-ResNet50, XGBoost, Logistic Regression, LightGBM, Support Vector Machine (SVM), and VGG16-using a curated dataset containing 678 legitimate (ham) and 520 spam images. The novelty of this research lies in its comprehensive side-by-side evaluation of diverse models on the same dataset, using standardized dataset preprocessing, balanced data splits, and validation techniques. Model performance was assessed using evaluation metrics such as accuracy, receiver operating characteristic (ROC) curve, precision, recall, and area under the curve (AUC). The results indicate that ResNet50 achieved the highest classification performance, followed closely by XGBoost and Logistic Regression. This work provides practical insights into the strengths and limitations of traditional, ensemble-based, and deep learning models for image-based spam detection. The findings can support the development of more effective and generalizable spam filtering solutions in multimedia-rich communication platforms.European Union [101082683]; Faculty of Computer Science and Engineering at Ss. Cyril; Methodius University in SkopjeThis work was supported partially by the European Union in the framework of ERASMUS MUNDUS, Project CyberMACS #101082683 and Faculty of Computer Science and Engineering at Ss. Cyril and Methodius University in SkopjeScience Citation Index Expande
Pleas in Civil Procedure Law
No full textBu çalışmanın öncelikli amacı; def'ilerin Medeni Usul Hukuku bakımından incelenmesi, def'ilerin yargılamada ileri sürülmesi, def'ilerin ileri sürülmesinin yargılamaya etkileri, bunların hukuki sonuçları ve kanuni düzenlemelerde yer alış amaçlarını açıklamaktır. Buradan yola çıkarak ilgili hukuki düzenlemeler detaylı olarak incelenecek ve bir savunma vasıtası olan def'ilerin önemi ve etkisi değerlendirilmeye çalışılacaktır. Türk Hukuku açısından bu çalışma, Medeni Usul Hukuku bakımından def'ilerin ileri sürülmesi ve etkileri konusunda bir kaynak oluşturmayı hedeflemektedir. Bir savunma vasıtası olarak def'iler, yargılama bakımından etkileri göz önüne alındığında başvurulabilecek önemli bir hukuki müessesedir.The primary aim of this study is to examine the defenses in terms of Civil Procedure Law, to analyze the procedure of bringing forward the defenses before the courts, to explain the legal effects and legal consequences of them during the course of a trial and finally to crisstalize the purpose of taking place in the legal regulations. From this point of view, the relevant legal regulations will be examined in detail and the importance and the impact of the pleas will be evaluated. In terms of Turkish Law, this study aims to form a basic resource on the assertion and effects of pleas regarding civil procedure law. Pleas, as a defense tool, is the most important legal institution that a defendant can rely on during the course of a trial in order for him/her to use his/her right to a fair trial
Deep Learning-Based Epicenter Localization Using Single-Station Strong Motion Records
No full textThis paper explores the application of deep learning (DL) techniques to strong motion records for single-station epicenter localization. Often underutilized in seismology-related studies, strong motion records contain rich information for source parameter inference. We investigate whether DL-based methods can effectively leverage this data for accurate epicenter localization. Our study introduces AFAD-1218, a collection comprising more than 36,000 strong motion records sourced from Turkey. To utilize the strong motion records represented in either the time or the frequency domain, we propose two neural network architectures: deep residual network and temporal convolutional networks. Our findings highlight significant reductions in prediction error achieved through the exclusion of low signal-to-noise ratio records, both in nationwide experiments and regional transfer-learning scenarios. Overall, this research underscores the promise of DL techniques in harnessing strong motion records for improved seismic event characterization and localization. Our codes are available via this repo: https://github.com/melekturkmen/EarthQuakeLocalizationScientific and Technological Research Council of Turkey (TUBITAK) [121M732]; TUBITAKThis study was supported by Scientific and Technological Research Council of Turkey (TUBITAK) under the Grant Number 121M732. The authors thank TUBITAK for their supports
A Nano-Scale Quantum-Dot Multiplexer Architecture for Logic Units in Internet of Things Healthcare Systems
No full textThe Internet of Things (IoT) is a propelling technological shift that enables seamless networking between billions of physical devices across healthcare sectors, agriculture, smart cities, and industrial production lines. By integrating embedded sensors, actuators, and communication modules, IoT systems can gather real-time data, leading to better operational decisions and improved efficiency in healthcare systems. The rapid growth of IoT devices creates three main operational challenges related to power usage, efficiency, and thermal management requirements. The demand for more efficient, compact, high-speed, and energy-efficient devices poses significant challenges for these systems. Traditional complementary metal-oxide-semiconductor (CMOS)-based architectures struggle to meet these demanding requirements, representing a major barrier to the development of reliable and scalable next-generation IoT systems. This research demonstrates Quantum-Dot Cellular Automata (QCA) nanotechnology as an alternative solution because it performs logical operations through electron positioning rather than conventional current flow. This paper proposes a modified version of a QCA-based multiplexer design (MUX) since digital logic systems require these signal routing elements for operation. The fundamental 2:1 MUX is established using QCA cell-interaction principles, and then 4:1 and 8:1 QCA MUXs are designed through hierarchical expansion. The suggested modified MUX devices operate on a compact scale with minimal cells to reduce the occupied area compared to current MUX designs. The research outcomes demonstrate that QCA circuits hold promising potential for creating energy-saving, powerful, and scalable computational platforms for future IoT healthcare systems
Visualizing Children's Health: Transformation of the Turkish State's Biopolitical Communication from Tuberculosis to COVID-19
No full textThis article comparatively explores two distinct cases of children's health communication on tuberculosis in the interwar period, and COVID-19, to trace the development of biopolitical governance in Turkey. Biopolitical visuality encompasses affective sensibilities and imaginations about the nation by conveying multilayered discourses. Public health discourse aims to ensure the health and optimal development of adult-to-be citizens and to provide strategies for improving parents' and communities' awareness of children's health. Our critical multimodal discourse analysis, based on our T & Uuml;B & Idot;TAK 3005 (Scientific & Technological Research Council of T & uuml;rkiye)-funded project, 'Analysis of Public Health Visual Communication Methods', demonstrates traits of biopolitical extension through contextual emphasis. We compare the imagery of children through a specific section of the Ya & scedil;amak Yolu journal to official visual health communication materials addressing child health during the COVID-19 pandemic in Turkey. We contend that visual discourse on the consideration of medical science, the relation of mental health to the physical and the gender roles of parents, progressively supports an individuation of biopolitics. We conclude that while early Republican visuals allowed some interpretive freedom through enabling a reformulative agency for the citizen subject in pursuit of well-being, the neoliberal era's COVID-19 materials intensified pedagogical control and individualized responsibility, especially within the family, which expanded biopolitical governance into the routines of everyday life.The Scientific and Technological Research Council of Turkiye (TUBITAK) [TUBITAK 3005]The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The authors received funding from the TUB & Idot;TAK 3005 (the Scientific and Technological Research Council of Turkiye) for the research