01. Araştırma Çıktıları | WoS | Scopus | TR-Dizin | PubMed

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Citation - WoS: 22
Citation - Scopus: 25
Perceptions of Dating Violence: Assessment and Antecedents
(SAGE Publications, 2020) Toplu-Demirtaş, Ezgi; Fincham, Frank D.; Öztemür, Gizem
Challenging perceptions of violence is crucial to prevent dating violence (DV), because such perceptions intervene in the organization and interpretation of violent events. However, these perceptions have received limited attention. This likely reflects the lack of a psychometric tool to do so. The current study had two purposes: to develop a measure of perceptions of psychological, sexual, and physical DV, and to explore how vertical collectivism, through hostile sexism and violence myth acceptance, shapes perceptions of DV. A total of 491 college students (55.3% women; M = 20.76 years, SD = 1.77 years) completed measures of the vertical collectivism, hostile sexism, domestic violence myth acceptance, and perceptions of DV. The results of exploratory factor analyses revealed a 15-item single-factor measure of perceptions of DV as initial construct validity, which had satisfactory internal consistency. A gender difference emerged in perceptions of DV; college women perceived psychological, sexual, and physical DV as more serious compared with college men. Moreover, the association between vertical collectivism and perceptions of DV was serially mediated via hostile sexism and violence myth acceptance. The findings are discussed in terms of previous research and the need to address the role of vertical collectivism in sexism, myth acceptance, and perceptions of violence in prevention/intervention efforts to reduce vulnerability to DV perpetration and victimization. Several recommendations are outlined to facilitate future research.
Citation - WoS: 2
Citation - Scopus: 5
Increasing Procurement Efficiency Through Optimal E-Commerce Enablement Scheduling
(Emerald Group Publishing Ltd., 2019) Özlük, Özgür; Cholette, Susan; Clark, Andrew G
Purpose: This study aims to show how cost savings can be achieved through optimizing the scheduling of e-commerce enablements. The University of California is one of the largest, most prestigious public education and research systems in the world, yet diminished state support is driving the search for system-wide cost savings. Design/methodology/approach: This study documents the preparation for and rollout of an e-procurement system across a subset of campuses. A math programing tool was developed for prioritizing the gradual rollout to generate the greatest expected savings subject to resource constraints. Findings: The authors conclude by summarizing the results of the rollout, discussing lessons learned and their benefit to decision-makers at other public institutions. Originality/value: The pilot program comprising three campuses has been predicted to yield $1.2m in savings over a one-year period; additional sensitivity analysis with respect to savings, project timelines and other rollout decisions illustrate the robustness of these findings.
Citation - WoS: 3
Citation - Scopus: 4
A Novel Graph Transformation Strategy for Optimizing Sptrsv on Cpus
(Wiley, 2023) Yılmaz, Buse
Sparse triangular solve (SpTRSV) is an extensively studied computational kernel. An important obstacle in parallel SpTRSV implementations is that in some parts of a sparse matrix the computation is serial. By transforming the dependency graph, it is possible to increase the parallelism of the parts that lack it. In this work, we present a novel graph transformation strategy to increase the parallelism degree of a sparse matrix and compare it to our previous strategy. It is seen that our transformation strategy can provide a speedup as high as 1.42x$$ 1.42x $$.
Citation - WoS: 16
Citation - Scopus: 20
Selecting Suicide Ideation Assessment Instruments: a Meta-Analytic Review
(SAGE Publications, 2017) Duncan, Kelly; Atalay, Zümra; Erford, Bradley T.; Jackson, Jessica; Bardhoshi, Gerta
Psychometric meta-analyses and reviews were provided for four commonly used suicidal ideation instruments: the Beck Scale for Suicide Ideation, the Suicide Ideation Questionnaire, the Suicide Probability Scale, and Columbia–Suicide Severity Rating Scale. Practical and technical issues and best use recommendations for screening and outcome research are offered.
Directions for Getting Lost: or How To Change Your Mind
(2018) West, Mark W.
Architect Mark W West creates work that is incredibly delicately drawn. Here he documents the construction of his drawings, while his friend, whose name is also Mark West, contributes a commentary about the creative process behind them. The two texts reveal how the works defy the damage caused by reductive traditional architectural education and general experience, and open the viewer to a sense of greater wholeness, however disturbing this may be.
Citation - WoS: 2
Citation - Scopus: 2
Parental Predictors of Children’s Math Learning Behaviours in Different Cultures
(Springer, 2022) Selçuk, Bilge; Kisbu-Sakarya, Yasemin; Niehues, Wenke
Research indicates that parental schoolwork involvement is beneficial for students' academic functioning when parents facilitate their children's autonomy and refrain from psychological controlling practices. However, effects of the quality of parental involvement on child learning outcomes may vary due to cross-cultural differences in children's appraisal and reaction towards these practices. The current study aimed to investigate the link between the quality of parental schoolwork involvement and children's learning-related behaviours in math, and the mediating role of mother-child conflict around math schoolwork in this link in three cultural groups (i.e., German-Turkish, Turkish and German families). Data were collected from 107 German-Turkish, 426 Turkish and 140 German mothers with children in fifth to eighth grades. After testing measurement invariance of the scales across groups, multi-group structural equation modelling was used to examine the direct and indirect paths between the quality of parental involvement, mother-child conflict and child learning-related behaviours. Results showed that the level of mother-child conflict mediated the link between mothers' psychologically controlling practices and children's learning-related behaviours in math in all three groups. No mediation was found for the link between maternal autonomy support and children's learning-related behaviours in any group. However, the direct path from mothers' autonomy support to children's learning-related behaviours was significant in the Turkish and German-Turkish samples. These results suggest that the role of different forms of parental schoolwork involvement in children's academic functioning is more similar than different across cultural groups.
Citation - WoS: 15
Citation - Scopus: 13
Calibration of the Effective Spring Constant of Ultra-Short Cantilevers for a High-Speed Atomic Force Microscope
(2015) Xu, Lin-Yan; Wu, Sen; Hu, Xiao-Dong; Song, Yun-Peng; Fu, Xing; Zhang, Jun-Ming; Dorantes-Gonzalez, Dante Jorge
Ultra-short cantilevers are a new type of cantilever designed for the next generation of high-speed atomic force microscope (HS-AFM). Ultra-short cantilevers have smaller dimensions and higher resonant frequency than conventional AFM cantilevers. Moreover, their geometry may also be different from the conventional beam-shape or V-shape. These changes increase the difficulty of determining the spring constant for ultra-short cantilevers, and hence limit the accuracy and precision of force measurement based on a HS-AFM. This paper presents an experimental method to calibrate the effective spring constant of ultra-short cantilevers. By using a home-made AFM head, the cantilever is bent against an electromagnetic compensation balance under servo control. Meanwhile the bending force and the cantilever deflection are synchronously measured by the balance and the optical lever in the AFM head, respectively. Then the effective spring constant is simply determined as the ratio of the force to the corresponding deflection. Four ultra-short trapezoid shape cantilevers were calibrated using this method. A quantitative uncertainty analysis showed that the combined relative standard uncertainty of the calibration result is less than 2%, which is better than the uncertainty of any previously reported techniques.
Citation - WoS: 6
Citation - Scopus: 6
Should I Invite Them? Bystanders' Inclusivity Judgements Towards Outgroup Victims and Ingroup Bullies in Intergroup Bullying
(Wiley, 2021) Mulvey, Kelly Lynn; Gönültaş, Seçil; Yavuz, H Melis
This study examined bystanders' judgements of bullying and their inclusivity towards refugee victims and ingroup bully peers. Participants included 587 Turkish adolescents (M-age = 13.14, SD = 1.60) who were presented with two stories: intergroup (Syrian refugee victim) and intragroup (Turkish victim) bullying. They indicated acceptability of bullying, retaliation, and how likely they would be to include victims and bullies in different social contexts. Empathy, prejudice, desired social distance, and peer norms towards Syrian refugees were examined as predictors. Adolescents in schools with a higher number of Syrian peers were more likely to expect they would include the Syrian victim than adolescents in schools with a lower number of Syrian peers. Further, adolescents with higher empathy were more likely to include the Syrian victim while adolescents with higher prejudice and desired social distance were less likely to include the Syrian victim. The results highlight the importance of attending to bystanders' future interactions with victims and bullies, as bystanders have the opportunity to challenge injustice by promoting inclusive school climates in diverse societies. Please refer to the Supplementary Material section to find this article's Community and Social Impact Statement.
Citation - WoS: 1
Where Should I Search Next? Messages Embedded in Storybooks Influence Children's Strategic Exploration in Turkey and the United States
(Amer Psychological Assoc, 2024) Vaisarova, Julie; Kiefer, Sarah L.; Sen, Hilal; Todd, Peter M.; Lucca, Kelsey
Despite the vital role of curiosity-driven exploration in learning, our understanding of how to enhance children's curiosity remains limited. Here, we tested whether hearing a strategic curiosity story with curiosity-promoting themes (e.g., strategically approaching uncertainty, adapting flexibly to new information) versus a control story with traditional pedagogical themes (e.g., following rules, learning from others) would influence children's strategic exploration across two cultures. Three- to 6-year-olds from the United States (N = 138) and Turkey (N = 88) were randomly assigned to hear one of these stories over Zoom, before playing a game in which they searched for sea creatures across five fish tanks. All tanks had the same number of hiding spots but varied in the number of creatures they contained. Time was limited and children could not return to prior tanks, pushing them to allocate search effort strategically. Results indicated that across both countries, children in the strategic curiosity condition explored the virtual "aquarium" more broadly; they moved through tanks more rapidly than children in the control condition and were more likely to explore all five tanks before time ran out. Children in the strategic curiosity condition also showed relatively more strategic search, adapting their search based on the likelihood of finding creatures in each tank. While further research is needed to pinpoint which elements of our stories produced differences in search behavior and whether they did so by enhancing or inhibiting children's strategic exploration, storybooks appear to be a promising method for shaping children's exploration across multiple countries.
How Does Type of Moral Responsibility Affect the Extent of the Moral Circle? The Influence of Relational Models
(Sage Publications Inc, 2025) Sunar, Diane; Cesur, Sevim; Tepe, Beyza; Piyale, Zeynep Ecem; Hill, Charles T.
The "moral circle" defines entities toward which a person feels moral responsibility. Relational Models Theory (RMT) proposes four basic relational models (communal sharing, authority ranking, equality matching, and market pricing), each with distinct moral motivations. This study applies RMT to define different types of moral responsibility: caring, guiding, obeying/deferring, ensuring equality, or equity. We proposed that the type of moral responsibility may alter a judge's rating of degree of responsibility, affecting the entity's placement within the moral circle. Linear mixed model analyses of responsibility ratings toward various human and other targets across six closeness levels confirmed that relational models significantly affected felt responsibility ratings. Specifically, asking about Equality Matching responsibility (assuring equal rights and treatment) led to higher moral responsibility ratings than other definitions (Communal Sharing, Authority Ranking, Market Pricing), even for negatively judged targets like rapists. The two cultures tested (US and T & uuml;rkiye) differed in average responsibility ratings for various targets, but culture did not interact with Relational Models. Differences in moral inclusiveness are interpreted through relational model characteristics, such as boundedness and rule orientation. In addition to individual, situational, cultural differences, relational models between judge and target also affect extent of the moral circle.
The Ill Fortune of Attachment Insecurity and Dyadic Distrust in Marital Satisfaction: a Dyadic Perspective in Turkish Couples
(Springernature, 2025) Cetinkaya Yildiz, Evrim; Araci Iyiaydin, Ayseguel; Toplu Demirtas, Ezgi
Objective: The objective of the current study is to explore the actor, partner and mediating effects of dyadic trust in the relationship between insecure romantic attachment and marital satisfaction in a Turkish sample of heterosexual married couples.BackgroundAlthough the vital role of dyadic trust in a romantic relationship has been recognized for many years, the mediating role of dyadic trust in the relationship between insecure attachment and marital satisfaction has not been explored much in previous research.MethodThe sample comprised 174 married couples living in suburban areas in the central Anatolian region of T & uuml;rkiye. Couples were recruited through personal networks and online mailing lists of local governmental institutions. Two Actor-Partner Interdependence Mediation Model analyses were carried out to estimate mediation with dyadic data using MEDYAD.ResultsThe actor effects between insecure romantic attachment and marital satisfaction were found to be mediated by dyadic distrust. Moreover, two partner mediating effects were found significant. Husbands' anxious attachment predicted wives' dyadic distrust, which in turn predicted wives' marital dissatisfaction. Likewise, husbands' anxious attachment also predicted their own dyadic distrust, which in turn predicted their wives' marital dissatisfaction.ConclusionThe findings show that for insecurely attached individuals, dyadic trust has an important role in marital satisfaction and thus should be the central topic in couple counseling.
Citation - WoS: 1
Citation - Scopus: 1
A Novel Genetic Algorithm-Based Improvement Model for Online Communities and Trust Networks
(IOS Press, 2020) Bekmezci, ilker; Cimen, Egemen Berkic; Ermiş, Murat
Social network analysis offers an understanding of our modern world, and it affords the ability to represent, analyze and even simulate complex structures. While an unweighted model can be used for online communities, trust or friendship networks should be analyzed with weighted models. To analyze social networks, it is essential to produce realistic social models. However, there are serious differences between social network models and real-life data in terms of their fundamental statistical parameters. In this paper, a genetic algorithm (GA)-based social network improvement method is proposed to produce social networks more similar to real-life data sets. First, it creates a social model based on existing studies in the literature, and then it improves the model with the proposed GA-based approach based on the similarity of the average degree, the k-nearest neighbor, the clustering coefficient, degree distribution and link overlap. This study can be used to model the structural and statistical properties of large-scale societies more realistically. The performance results show that our approach can reduce the dissimilarity between the created social networks and the real-life data sets in terms of their primary statistical properties. It has been shown that the proposed GA-based approach can be used effectively not only in unweighted networks but also in weighted networks.
Citation - WoS: 36
Citation - Scopus: 48
Cyclic and Monotonic Compression Behavior of Cfrp-Jacketed Damaged Noncircular Concrete Prisms
(2016) İlki, Alper; Dalgıç, Korhan Deniz; İspir, Medine
This paper focuses on rehabilitation/strengthening of damaged concrete prisms through external carbon-fiber-reinforced polymer (CFRP) jacketing. In order to evaluate the efficiency of the strengthening method on the damaged concrete prisms, an experimental study including 22 concrete prisms with square and rectangular cross sections was carried out. The parameters of the experimental study are the damage levels. Furthermore, effects of loading scheme (monotonic or cyclic) and cross section type (square and rectangular) were investigated in the existence of damage. The concrete prisms were tested under compression stresses up to three specified axial deformation levels to be representative of slight, moderate, and severe compression damages before strengthening. Tests were repeated after rehabilitation/strengthening of damaged specimens with CFRP jacketing. Test results showed that CFRP rehabilitation/strengthening was effective on enhancement of strength and deformability of the damaged concrete prisms. However, the efficiency of the strengthening method in terms of compressive strength tended to reduce when the level of damage increased. Furthermore, an available model is modified to include the effects of damage level, and the modified model is shown to produce accurate results. (C) 2015 American Society of Civil Engineers.
A Strategy to Engage Students in Inquiry-Based Learning of Mathematics: Predict, Observe and Explain
(Springer, 2025) Karakoc, Gokhan; Alacaci, Cengiz; Ayas, Alipasa
The current research implemented the Predict Observe and Explain (POE) instructional approach in mathematics and examined its efficacy in enhancing students' understanding of functions in terms of their ability to connect algebraic and graphical representations in optimization problems. Two grade 11 classes (40 students in total) and two grade 10 classes (42 students in total) participated in this study, for a combined total of 82 students. Following a quasi-experimental design, students in the experimental group solved six open mathematical tasks in a small group setting. They were explicitly asked to predict the outcome before attempting to solve the tasks, make observations using concrete materials and finally attempt a solution. They were then expected to reflect on their observation and initial predictions to interpret their findings. The control group students were given the same tasks without an explicit heuristic. They directly attempted to solve the same problems without prediction and observation. The data were collected using students' written responses to each task. Students' responses to the tasks were assessed based on the following criteria: understanding, constructing, using a mathematical model, communicating and interpreting results. An independent samples t-test showed that the POE strategy improved students' learning in cognitive domains. The POE strategy helped students better understand the problem, select and apply appropriate mathematical methods and interpret their findings. Students in the control group spent more time discussing and integrating clues into possible solutions to the given tasks. The results were interpreted within the framework of inquiry-based education, informed by semiotic representation theory.
Citation - WoS: 1
Mechanochemical Synthesis and Characterization of Nanostructured Erb4 and Ndb4 Rare-Earth Tetraborides
(John Wiley and Sons Inc, 2024) Boztemur, B.; Kaya, F.; Derin, B.; Öveçoğlu, M.L.; Li, J.; Ağaoğulları, D.
Rare-earth borides have become very popular in recent decades with high mechanical strength, melting point, good corrosion, wear, and magnetic behavior. However, the production of these borides is very challenging and unique. The production of ErB4 and NdB4 nanopowders via mechanochemical synthesis (MCS) is reported in this study first time in the literature. Er2O3 or Nd2O3, B2O3, and Mg initial powders are mechanically alloyed for different milling times to optimize the process. Rare-earth borides with MgO phases are synthesized, then MgO is removed with HCl acid. The nanostructured rare-earth tetraboride powders are analyzed using X-ray diffraction (XRD). Based on the XRD, ErB4 powders are produced successfully at the end of the 5 h milling. However, the NdB4 phase does not occur as the stoichiometric ratio, so the B2O3 amount is decreased to nearly 35 wt%. When the amount of B2O3 is decreased to 20 wt%, NdB4 and NdB6 phases are 50:50 according to the Rietveld analysis. However, a homogenous NdB4 phase is obtained with 30 wt% loss of B2O3. The average particle sizes of ErB4 and NdB4 powders are nearly 100.4 and 85.6 nm, respectively. The rare-earth tetraborides exhibit antiferromagnetic-to-paramagnetic-like phase transitions at 18 and 8.53 K, respectively. © 2024 The Author(s). Advanced Engineering Materials published by Wiley-VCH GmbH.
Citation - WoS: 8
Citation - Scopus: 5
Second Language Motivational Self System of Sixth Graders in Turkey: a Correlational Study
(Wiley, 2021) Çiftçi, Hatime; Arslan, Tugba
Investigating the foreign and second language (L2) motivational self system (L2MSS) of Turkish sixth graders, this study reports relationships among three components (ideal L2 self, ought-to L2 self, and L2 learning experience) of the L2MSS and the variables of school type (public and private), gender, and intended effort. Data were collected from 170 students in two public and two private secondary schools in northwestern Turkey through a questionnaire. The results of correlation analysis indicate a strong positive correlation between ideal L2 self and L2 learning experience, and the variables of school type and gender did not make a difference. Intended effort was found to have a strong positive correlation with these L2MSS components. The results of multiple regression analysis provide further evidence for especially intended effort as a significant predictor of L2MSS, whereas the school type and gender did not contribute to the system. The major implications of the study and future research possibilities are discussed.
A New Benchmark Dataset for P300 Erp-Based Bci Applications
(Academic Press Inc Elsevier Science, 2023) Çakar, Tuna; Özkan, Hüseyin; Musellim, Serkan; Arslan, Suayb S.; Yağan, Mehmet; Alp, Nihan
Because of its non-invasive nature, one of the most commonly used event-related potentials in brain -computer interface (BCI) system designs is the P300 electroencephalogram (EEG) signal. The fact that the P300 response can easily be stimulated and measured is particularly important for participants with severe motor disabilities. In order to train and test P300-based BCI speller systems in more realistic high-speed settings, there is a pressing need for a large and challenging benchmark dataset. Various datasets already exist in the literature but most of them are not publicly available, and they either have a limited number of participants or utilize relatively long stimulus duration (SD) and inter-stimulus intervals (ISI). They are also typically based on a 36 target (6 x 6) character matrix. The use of long ISI, in particular, not only reduces the speed and the information transfer rates (ITRs) but also oversimplifies the P300 detection. This leaves a limited challenge to state-of-the-art machine learning and signal processing algorithms. In fact, near-perfect P300 classification accuracies are reported with the existing datasets. Therefore, one certainly needs a large-scale dataset with challenging settings to fully exploit the recent advancements in algorithm design (machine learning and signal processing) and achieve high-performance speller results. To this end, in this article we introduce a new freely-and publicly-accessible P300 dataset obtained using 32-channel EEG, in the hope that it will lead to new research findings and eventually more efficient BCI designs. The introduced dataset comprises 18 participants performing a 40 -target (5 x 8) cued-spelling task, with reduced SD (66.6 ms) and ISI (33.3 ms) for fast spelling. We have also processed, analyzed, and character-classified the introduced dataset and we presented the accuracy and ITR results as a benchmark. The introduced dataset and the codes of our experiments are publicly accessible at https://data .mendeley.com /datasets /vyczny2r4w.(c) 2023 Elsevier Inc. All rights reserved.
Citation - WoS: 53
Citation - Scopus: 61
Water–energy–food Nexus in a Transboundary Context: the Euphrates–tigris River Basin as a Case Study
(Taylor & Francis, 2015) Gürsoy, Sezin Iba; Kibaroğlu, Ayşegül
The interlinkage between water, energy and food security and its transboundary relevance is becoming increasingly important. The paper analyses the evolution of transboundary water resources management in the Euphrates–Tigris basin with specific reference to interlinkages between water, food and energy policies at national and transboundary levels, and it explores how the policy shifts at the highest decision-making level have served to produce synergies for cooperation among the riparians or vice versa.
Citation - WoS: 3
Citation - Scopus: 5
Unraveling Neural Pathways of Political Engagement: Bridging Neuromarketing and Political Science for Understanding Voter Behavior and Political Leader Perception
(2023) Çakar, Tuna; Filiz, Gözde
Political neuromarketing is an interdisciplinary field that combines marketing, neuroscience, and psychology to understand voter behavior and political leader perception. This interdisciplinary field offers novel techniques to understand complex phenomena such as voter engagement, political leadership, and party branding. This study aims to understand the neural activation patterns of voters when they are exposed to political leaders using functional near-infrared spectroscopy (fNIRS) and machine learning methods. We recruited participants and recorded their brain activity using fNIRS when they were exposed to images of different political leaders. This neuroimaging method (fNIRS) reveals brain regions central to brand perception, including the dorsolateral prefrontal cortex (dlPFC), the dorsomedial prefrontal cortex (dmPFC), and the ventromedial prefrontal cortex (vmPFC). Machine learning methods were used to predict the participants' perceptions of leaders based on their brain activity. The study has identified the brain regions that are involved in processing political stimuli and making judgments about political leaders. Within this study, the best-performing machine learning model, LightGBM, achieved a highest accuracy score of 0.78, underscoring its efficacy in predicting voters' perceptions of political leaders based on the brain activity of the former. The findings from this study provide new insights into the neural basis of political decision-making and the development of effective political marketing campaigns while bridging neuromarketing, political science and machine learning, in turn enabling predictive insights into voter preferences and behavior
Citation - WoS: 7
Citation - Scopus: 7
Exchange Rates and Firm Survival: an Examination With Turkish Firm-Level Data
(Elsevier, 2016) Toraganlı, Nazlı; Yazgan, Mustafa Ege
Micro-level empirical research has begun to obtain important results on the effects of currency variations on firms’ survival. The literature has, however, lacked a detailed analysis of the effects of exchange rates on firms’ survival behavior in emerging markets due to a scarcity of firm-level information. Using a firm-level dataset, we investigate the impact of currency appreciation on the survival behavior of Turkish firms in the manufacturing industries for 2002–2009. Our results suggest that real exchange rate appreciation decreases the probability of survival in the manufacturing industries. We also find that high-productivity firms have a higher probability of survival than low- productivity firms following an appreciation of the exchange rate. Our findings indicate that the negative effect of a 1% real appreciation of the domestic currency on the survival probability of a given firm ranges from 4.5 to 9%, providing evidence for the vulnerability of developing countries to exchange rate movements. This evidence indicates that, especially for emerging market economies, economic events and policies leading to an appreciation in the domestic currency should be managed cautiously.

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