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Article Citation - WoS: 38Citation - Scopus: 60Career Abandonment Intentions among Software Workers(Wiley, 2014) Colomo-Palacios, Ricardo; Casado-Lumbreras, Cristina; Misra, Sanjay; Soto-Acosta, PedroWithin the software development industry, human resources have been recognized as one of the most decisive and scarce resources. Today, the retention of skilled IT (information technology) personnel is a major issue for employers and recruiters as well, since IT career abandonment is a common practice and means not only the loss of personnel, knowledge, and skills, but also the loss of business opportunities. This article seeks to discover the main motivations young practitioners abandon the software career. To achieve this objective, two studies were conducted. The first study was qualitative (performed through semistructured interviews) and intended to discover the main variables affecting software career abandonment. The second study was quantitative, consisting of a Web-based survey developed from the output of the first study and administered to a sample of 148 IT practitioners. Results show that work-related, psychological, and emotional variable are the most relevant group of variables explaining IT career abandonment. More specifically, the three most important variables that motivate employees to abandon the career are effort-reward imbalance, perceived workload, and emotional exhaustion. In contrast, variables such as politics and infighting, uncool work, and insufficient resources influence to a lesser extent the decision to leave the career. (c) 2012 Wiley Periodicals, Inc.Article Citation - WoS: 18Citation - Scopus: 21Modeling Dependence Between Two Multi-State Components Via Copulas(Ieee-inst Electrical Electronics Engineers inc, 2014) Eryilmaz, SerkanModeling statistical dependence between two systems or components is an important problem in reliability theory. Such a problem has been well studied for binary systems and components. In the present paper, we provide a way for modeling s-dependence between two multi-state components. Our method is based on the use of copulas which are very popular for modeling s-dependence. We obtain expressions for the joint state probabilities of the two components, and illustrate the results for the case when the degradation in both components follows a Markov process.Article Citation - WoS: 65Citation - Scopus: 72The Intuitionistic Fuzzy Electre Model(Taylor & Francis Ltd, 2018) Rouyendegh (Babek Erdebilli), Babak Daneshvar; Rouyendegh , Babak DaneshvarThe purpose of this research is to postulate and define a new model for Multi-Criteria DecisionMaking (MCDM) problems utilizing the Intuitionistic Fuzzy ELimination Et Choix Traduisant la REalite (IFELECTRE) method, otherwise identified as the Intuitionistic Fuzzy Index of Hesitation Degree method. The Intuitionistic Fuzzy Sets (IFS) method offers certain advantages in using vagueness over a Fuzzy Set (FS): the IFELECTRE method is used to handle more complicated problems, whereas the Decision-Makers (DMs) have some vagueness in assigning option values to the objects considered. The processes of evaluating qualitative and quantitative scales are combined in this work and the proposed model enables different DMs to assess and use IFS. The original ELECTRE method cannot be operated effectively owing to a lack of precise information under different conditions.Article Citation - WoS: 105Citation - Scopus: 163Cassava Disease Recognition From Low-Quality Images Using Enhanced Data Augmentation Model and Deep Learning(Wiley, 2021) Abayomi-Alli, Olusola Oluwakemi; Damasevicius, Robertas; Misra, Sanjay; Maskeliunas, RytisImprovement of deep learning algorithms in smart agriculture is important to support the early detection of plant diseases, thereby improving crop yields. Data acquisition for machine learning applications is an expensive task due to the requirements of expert knowledge and professional equipment. The usability of any application in a real-world setting is often limited by unskilled users and the limitations of devices used for acquiring images for classification. We aim to improve the accuracy of deep learning models on low-quality test images using data augmentation techniques for neural network training. We generate synthetic images with a modified colour value distribution to expand the trainable image colour space and to train the neural network to recognize important colour-based features, which are less sensitive to the deficiencies of low-quality images such as those affected by blurring or motion. This paper introduces a novel image colour histogram transformation technique for generating synthetic images for data augmentation in image classification tasks. The approach is based on the convolution of the Chebyshev orthogonal functions with the probability distribution functions of image colour histograms. To validate our proposed model, we used four methods (resolution down-sampling, Gaussian blurring, motion blur, and overexposure) for reducing image quality from the Cassava leaf disease dataset. The results based on the modified MobileNetV2 neural network showed a statistically significant improvement of cassava leaf disease recognition accuracy on lower-quality testing images when compared with the baseline network. The model can be easily deployed for recognizing and detecting cassava leaf diseases in lower quality images, which is a major factor in practical data acquisition.Editorial Citation - WoS: 2Citation - Scopus: 2Economic Growth and Health Expenditures Relationship Between Oecd Countries(Frontiers Media Sa, 2023) Tengilimoglu, Dilaver[No Abstract Available]Article Citation - WoS: 3Citation - Scopus: 4Intensive Parenting of Mothers in 11 Countries Differing in Individualism, Income Inequality, and Social Mobility(Pergamon-Elsevier Science Ltd, 2025) Lubiewska, Katarzyna; Zeglen, Marta; Lun, Vivian Miu-Chi; Park, Joonha; Runge, Ronja; Muller, Jacomien; van der Kaap-deeder, JoleneAlthough intensive parenting has been found to be mostly detrimental for both children and parents, less is known about the correlates and sources of this type of parenting. This study aimed to examine associations between mother's primary involvement in caregiving and intensive parenting, as well as their potential sources, thereby focusing on: family social status, characteristics of the national economy (income inequality and social mobility) and culture (individualism-collectivism) in 11 culturally diverse countries. Participants were 2535 mothers of children aged between 6 and 10. Mothers reported on their intensive parenting behaviors, entailing both supportive and undermining aspects of meeting their child's needs, as well as their level of involvement in daily caregiving tasks and the subjective family social status. Hypotheses were tested controlling for country level response style. Results revealed that: mothers who were more often the primary caregiver across daily tasks used more intensive parenting behaviors; high social status mothers were using less child need undermining yet more supportive intensive parenting behaviors, and less frequently served as the primary caregiver for daily tasks; the undermining intensive parenting behaviors related positively to country-level individualism and income inequality, whereas relations with social mobility were mixed.Article Citation - WoS: 9Citation - Scopus: 12Social Support and Help-Seeking Worldwide(Springer, 2024) Szkody, Erica; Spence, Anjolee; Ozdogru, Asil; Tushir, Bhawna; Chang, Fennie; Akkas, Handan; Cascalheira, Cory J.Social support has long been associated with positive physical, behavioral, and mental health outcomes. However, contextual factors such as subjective social status and an individual's cultural values, heavily influence social support behaviors (e.g., perceive available social support, accept support, seek support, provide support). We sought to determine the current state of social support behaviors and the association between these behaviors, cultural values, and subjective social support across regions of the world. Data from 6,366 participants were collected by collaborators from over 50 worldwide sites (67.4% or n = 4292, assigned female at birth; average age of 30.76). Our results show that individuals cultural values and subjective social status varied across world regions and were differentially associated with social support behaviors. For example, individuals with higher subjective social status were more likely to indicate more perceived and received social support and help-seeking behaviors; they also indicated more provision of social support to others than individuals with lower subjective social status. Further, horizontal, and vertical collectivism were related to higher help-seeking behavior, perceived support, received support, and provision of support, whereas horizontal individualism was associated with less perceived support and less help-seeking and vertical individualism was associated with less perceived and received support, but more help-seeking behavior. However, these effects were not consistently moderated by region. These findings highlight and advance the understanding of how cross-cultural complexities and contextual distinctions influence an individual's perception, processing, and practice of social support embedded in the changing social landscape.Article Citation - WoS: 1Citation - Scopus: 1How Do Visual, Auditory and Motor Dual-Tasking Each Affect Swallowing and Chewing Function?(Wiley, 2024) Begen, Sena Nur; Arslan, Selen Serel; Serel Arslan, SelenBackground: It can be challenging to perform a second task at the same time as swallowing. Objective(s)The study aimed to investigate the effect of visual, auditory and motor dual-tasking on swallowing and chewing function in healthy young adults. Method: Right-handed healthy adults without any psychological and cognitive problems were included in the study. Swallowing was evaluated based on the dysphagia limit in different liquid textures such as water and nectar consistencies, and chewing was evaluated by the Test of Masticating and Swallowing Solids. For the second task, visual and auditory performance was assessed using reaction time, and the motor performance was assessed using a bilateral tapping task. Assessments were performed in two steps: baseline and dual-task. For baseline, all evaluation methods were applied individually. After completing the baseline assessment, dual-task assessment were carried out the following day. For dual-task assessment, the swallowing and chewing tasks were performed simultaneously with visual, auditory and motor tasks. Results: Results showed a significant decrease in dysphagia limit in the nectar consistency, and significant increase in chewing time, visual reaction time and tapping rate (right-left) when compared to baseline and dual-task conditions (chi(2)(3) = 9.61, p = .02; chi(2)(3) = 9.02, p = .02; chi(2)(3) = 28.09, p < .001; chi(2)(3) = 28.97, p < .001; chi(2)(3) = 21.56, p < .001, respectively). However, there were no differences in dysphagia limit in the water and auditory reaction time compared to baseline and dual-task conditions (chi(2)(3) = 3.18, p = .36; chi(2)(3) = 2.56, p = .50, respectively). Conclusion: Results shedding light on how simultaneous dual tasks can influence swallowing and chewing. Dual-tasking cause a decrease in both swallowing/chewing and the visual/motor performances. These results may provide valuable information for designing interventions or strategies aimed at improving or maintaining optimal swallowing and chewing during in various populations during daily life.Conference Object Citation - WoS: 1A Platinum-Blue Complex Exerts Its Cytotoxic Activity Via Dna Damage and Induces Apoptosis in Cancer Cells(Elsevier Sci Ltd, 2016) Adiguzel, Z.; Ozalp-Yaman, S.; Celik, G.; Salem, S.; Bagci-Onder, T.; Cetin, Y. C.; Acilan, C.[No Abstract Available]Article Citation - WoS: 23Citation - Scopus: 26Optimization Problems for a Parallel System With Multiple Types of Dependent Components(Elsevier Sci Ltd, 2020) Eryilmaz, Serkan; Ozkut, MuratThis paper is concerned with two optimization problems for a parallel system that consists of dependent components. First, the problem of finding the number of elements in the system that minimizes the mean cost rate of the system is considered. The second problem is concerned with the optimal replacement time of the system. Previous work assumes that the components are independent. We discuss the impact of dropping this assumption. In particular, we numerically examine how the dependence between the components affects the optimal number of units and replacement time for the system which minimize mean cost rates. We first consider the case when the components are exchangeable and dependent, i.e. the system consists of single type of dependent components. Subsequently, we consider a system that consists of multiple types of dependent components. Comparative numerical results are presented for particularly chosen dependence models.
