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Article Citation - WoS: 17Citation - Scopus: 30Analysis of Cultural and Gender Influences on Teamwork Performance for Software Requirements Analysis in Multinational Environments(Wiley, 2012) Fernandez-Sanz, L.; Misra, SanjaySoftware development is mainly a social activity where teams of developers should work as a coordinated unit to fulfill the needs of customers. Studies have shown the importance of teamwork ability as the main skill for software professionals both in local settings and in global software development. Teamwork performance can be evaluated according to different approaches but we need deeper analysis within software teams of differences in individuals' performance related to culture, nationality or even gender. We applied a simple evaluation experience named teamwork benefits awareness (TBA) to groups of last-year students of computing degrees with experience as junior IT professionals during intensive multinational workshops based on international software projects. TBA allowed to measure individual and team performance during a requirements analysis session based on a real project. Results segmented by nationality and gender are presented and analysed in comparison with the data collected from computing professionals in local settings. In general, no significant differences have been found out although interesting relations are suggested with two Hofstede's country indicators. TBA is also perceived as a good technique for highlighting both teamwork benefits as well as the nature of real situations of software requirements analysis and orientation to customer needs.Article Citation - WoS: 19Citation - Scopus: 20The consumers' social media use in choosing physicians and hospitals: the case study of the province of Izmir(Wiley, 2017) Tengilimoglu, Dilaver; Sarp, Nilgn; Yar, Cemre Eda; Bektas, Meral; Hidir, Mehmet Nil; Korkmaz, EsinManifested as a reflection of the Internet technology progress, web 2.0 has transformed communication among people to different dimensions while increasing the social use of Internet. Thus, the concept of social media has entered our lives. Blogs, forums, Facebook, Twitter and YouTube applications are but few of the social media platforms with active users exceeding millions. As in many other subjects, these and others are also environments where people share information and their positive or negative experiential views with respect to healthcare issues and services. Hence, the social media communication and exchange of information are deemed influential on the process of receiving health services. In the present study that aims to determine social media use of individuals in their choice of physicians, dentists and hospitals, a survey, as a data collection instrument, has been carried out to 947 residents of the province of Izmir. Individuals participating in the study have stated that they have used social media in choosing a physician (41.9% of the participants), dentist (34.1% of the participants) and hospitals (41.7% of the participants). The study has revealed that individuals are affected by social media in their healthcare choices. Copyright (C) 2015 John Wiley & Sons, Ltd.Article Enhanced Doxorubicin Cytotoxicity on Breast Cancer Spheroids by Aptamer Targeted Co-Delivery With Hyaluronidase(Wiley, 2025) Kavruk, Murat; Demirel, Dide Su; Bonyadi, Farzaneh; Guner, Buket Cakmak; Dursun, Ali Dogan; Vakifahmetoglu, Cekdar; Ozalp, Veli CengizBreast cancer is one of the most prevalent solid tumors in women and can be classified into subtypes based on molecular characteristics, such as hormone receptor status and HER2 expression. Aptamers, highly specific affinity molecules, are extensively studied for targeted drug delivery using nanocarriers to enhance anti-cancer efficacy. This study focused on HER2-responsive co-delivery of doxorubicin and hyaluronidase via aptamer-gated mesoporous silica nanoparticles to improve therapeutic outcomes in solid tumors. SK-BR-3 spheroids are employed as a model for resistant tumor environments in solid tumors. Previous research is shown that conjugating cytotoxic drugs with nanoparticles or cells enhances drug penetration into tumor spheroids. In this work, doxorubicin is loaded into mesoporous silica nanoparticles and capped with HER2-specific aptamers, while the particle surface is functionalized with hyaluronidase. This dual-functionalized nanocarrier system achieves an approximate to 8.5-fold increase in cytotoxicity compared to aptamer-targeted delivery lacking hyaluronidase. The enhanced effect is attributed to hyaluronidase-mediated loosening of the spheroid structure, facilitating nanoparticle penetration and localized release of doxorubicin at high concentrations on HER2-positive cells.Article Citation - WoS: 11Citation - Scopus: 19Reinforcement Learning Using Fully Connected, Attention, and Transformer Models in Knapsack Problem Solving(Wiley, 2022) Yildiz, Beytullah; Yıldız, Beytullah; Yıldız, BeytullahKnapsack is a combinatorial optimization problem that involves a variety of resource allocation challenges. It is defined as non-deterministic polynomial time (NP) hard and has a wide range of applications. Knapsack problem (KP) has been studied in applied mathematics and computer science for decades. Many algorithms that can be classified as exact or approximate solutions have been proposed. Under the category of exact solutions, algorithms such as branch-and-bound and dynamic programming and the approaches obtained by combining these algorithms can be classified. Due to the fact that exact solutions require a long processing time, many approximate methods have been introduced for knapsack solution. In this research, deep Q-learning using models containing fully connected layers, attention, and transformer as function estimators were used to provide the solution for KP. We observed that deep Q-networks, which continued their training by observing the reward signals provided by the knapsack environment we developed, optimized the total reward gained over time. The results showed that our approaches give near-optimum solutions and work about 40 times faster than an exact algorithm using dynamic programming.Article Citation - WoS: 29Citation - Scopus: 43Text Classification Using Improved Bidirectional Transformer(Wiley, 2022) Tezgider, Murat; Yıldız, Beytullah; Yildiz, Beytullah; Aydin, Galip; Yıldız, BeytullahText data have an important place in our daily life. A huge amount of text data is generated everyday. As a result, automation becomes necessary to handle these large text data. Recently, we are witnessing important developments with the adaptation of new approaches in text processing. Attention mechanisms and transformers are emerging as methods with significant potential for text processing. In this study, we introduced a bidirectional transformer (BiTransformer) constructed using two transformer encoder blocks that utilize bidirectional position encoding to take into account the forward and backward position information of text data. We also created models to evaluate the contribution of attention mechanisms to the classification process. Four models, including long short term memory, attention, transformer, and BiTransformer, were used to conduct experiments on a large Turkish text dataset consisting of 30 categories. The effect of using pretrained embedding on models was also investigated. Experimental results show that the classification models using transformer and attention give promising results compared with classical deep learning models. We observed that the BiTransformer we proposed showed superior performance in text classification.Article Citation - WoS: 17Citation - Scopus: 26Toward Ontology-Based Risk Management Framework for Software Projects: an Empirical Study(Wiley, 2020) Abioye, Temitope Elizabeth; Arogundade, Oluwasefunmi Tale; Misra, Sanjay; Akinwale, Adio T.; Adeniran, Olusola JohnSoftware risk management is a proactive decision-making practice with processes, methods, and tools for managing risks in a software project. Many existing techniques for software project risk management are textual documentation with varying perspectives that are nonreusable and cannot be shared. In this paper, a life-cycle approach to ontology-based risk management framework for software projects is presented. A dataset from literature, domain experts, and practitioners is used. The identified risks are refined by 19 software experts; risks are conceptualized, modeled, and developed using Protege. The risks are qualitatively analyzed and prioritized, and aversion methods are provided. The framework is adopted in real-life software projects. Precision recall and F-measure metrics are used to validate the performance of the extraction tool while performance and perception evaluation are carried out using the performance appraisal form and technology acceptance model, respectively. Mean scores from performance and perception evaluation are compared with evaluation concept scale. Results showed that cost is reduced, high-quality projects are delivered on time, and software developers found this framework a potent tool needed for their day-to-day activities in software development.Article Citation - WoS: 2Citation - Scopus: 2Assessment of Anticancer Effects of Aloe Vera on 3D Liver Tumor Spheroids in a Microfluidic Platform(Wiley, 2025) Tevlek, Atakan; Kibar, Gunes; Cetin, BarbarosThe search for effective anticancer therapies has increasingly focused on natural compounds like Aloe vera, renowned for its therapeutic properties. This study investigates the anticancer properties of Aloe vera on 3D liver tumor spheroids via a PDMS-based microfluidic device, providing a more physiologically realistic model compared to traditional 2D cultures. HepG2 cells were cultivated to generate 3D spheroids on-chip, thereafter subjected to different concentrations of Aloe vera and the chemotherapeutic drug Doxorubicin to evaluate cytotoxic effects. The microfluidic system, validated by COMSOL simulations, facilitated continuous perfusion and real-time assessment of cell viability over a duration of 10 days. The results indicated that Aloe vera markedly diminished cell viability by triggering apoptosis at concentrations over 12.5 mg/mL. IC50 values were determined at 72 h: 25 +/- 0.10 mg/mL for Aloe vera and 5.47 +/- 0.03 mu g/mL for Doxorubicin in 2D cultures, but in 3D cultures, the IC50 values were 31.25 +/- 0.14 mg/mL for Aloe vera and 8.33 +/- 0.05 mu g/mL for Doxorubicin. This study underscores the promise of Aloe vera as a natural anticancer agent and illustrates the efficacy of microfluidic platforms for enhanced drug screening and customized medicine applications.Article Citation - WoS: 12Citation - Scopus: 17Analysing the Effects of Critique Techniques on the Success of Interior Architecture Students(Wiley, 2018) Gul, Ciler Gozde Gunday; Afacan, YaseminIn architectural design education, the most significant part in the curriculum is the design studio, where students learn how to design. Critique has a crucial role in the design studio, and in determining the best and most beneficial critique type for the architectural design education process. Student attitudes toward critiques and student satisfaction level with each critique technique are also significant. To that end, this article explores design studio learning by reviewing the design learning process and types of design critiques. Focusing on three critique techniques used in design education (desk critiques, pin-up critiques and group critiques), the article analyses correlations between student attitudes toward each technique and its contribution to the design process. Research was conducted with 84 third-year interior architecture students from the 2014-15 Fall semester at a university. No statistically significant differences were found between group and pin-up critiques in terms of students' preferences and their final performance scores; however, there was a statistically significant relationship between student preferences toward desk critiques and student success. Furthermore, the contribution of a critique technique to the design process was found to be highly correlated with student preference for this technique.Article Citation - WoS: 5Citation - Scopus: 9Deviations of Body Functions and Structure, Activity Limitations, and Participation Restrictions of the International Classification of Functioning, Disability, and Health Model in Children With Cystic Fibrosis and Non-Cystic Fibrosis Bronchiectasis(Wiley, 2020) Ozipek, Melike; Arikan, Hulya; Calik-Kutukcu, Ebru; Kerem-Gunel, Mintaze; Saglam, Melda; Inal-Ince, Deniz; Ozcelik, UgurBackground To the best of our knowledge, there is no study in the literature investigating the extrapulmonary outcomes of children with non-cystic fibrosis (CF) bronchiectasis and CF under the framework of the International Classification of Functioning, Disability, and Health (ICF) model. The purpose of the present study is to evaluate the children with CF and non-CF bronchiectasis using the ICF model. Materials and Methods Children with CF, non-CF bronchiectasis, and healthy counterparts were evaluated (20 participants in each group) according to the ICF items in domain b (body functions), domain s (body structures), and domain d (activities and participation). The pulmonary functions, respiratory and peripheral muscle strength tests, and posture analysis were carried out for domain b. For domain d, however, the Glittre-activities of daily living test and Pediatric Outcome Data Collection were used. Results Muscle strength of shoulder abductors and hip extensors in children with CF was significantly lower than healthy children and adolescents (P < .05). The severity of lateral and posterior postural abnormalities in children with CF and non-CF bronchiectasis was higher than those of healthy children (P < .05). Among the patient groups, global function, sports/physical function, expectations, transfers/basic mobility, and pain/comfort were the most affected participation dimensions (P < .05). Conclusions This study highlights the need for comprehensive up-to-date evaluation methods according to the ICF model for understanding rehabilitation requirements in CF and non-CF bronchiectasis in different age groups.Article Citation - Scopus: 1Optimizing the Stochastic Deployment of Small Base Stations in an Interleave Division Multiple Access-Based Heterogeneous Cellular Networks(Wiley, 2022) Noma-Osaghae, Etinosa; Misra, Sanjay; Koyuncu, MuratThe use of small base stations (SBSs) to improve the throughput of cellular networks gave rise to the advent of heterogeneous cellular networks (HCNs). Still, the interleave division multiple access (IDMA) performance in sleep mode active HCNs has not been studied in the existing literature. This research examines the 24-h throughput, spectral efficiency (SE), and energy efficiency (EE) of an IDMA-based HCN and compares the result with orthogonal frequency division multiple access (OFDMA). An energy-spectral-efficiency (ESE) model of a two-tier HCN was developed. A weighted sum modified particle swarm optimization (PSO) algorithm simultaneously maximized the SE and EE of the IDMA-based HCN. The result obtained showed that the IDMA performs at least 68% better than the OFDMA on the throughput metric. The result also showed that the particle swarm optimization algorithm produced the Pareto optimal front at moderate traffic levels for all varied network parameters of SINR threshold, SBS density, and sleep mode technique. The IDMA-based HCN can improve the throughput, SE, and EE via sleep mode techniques. Still, the combination of network parameters that simultaneously maximize the SE and EE is interference limited. In sleep mode, the performance of the HCN is better if the SBSs can adapt to spatial and temporal variations in network traffic.
