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Article Citation - WoS: 1Citation - Scopus: 1Personal Response Systems Through the Prism of Students' Experiences(Wiley, 2020) Mishra, Deepti; Chew, Esyin; Ostrovska, Sofiya; Wong, JojoPersonal response systems (PRSs) today offer an opportunity to the field of education in terms of improving teaching and learning outcomes through active engagement in classrooms. The present paper investigates students' attitudes to different types of PRSs, namely, Socrative and Clickers. Both qualitative and quantitative data are gathered and classified. The performed thematic analysis reveals major categories within the framework of this study, namely educational efficacy, psychological aspects, technology-related issues, and administrative issues. It has been found that Socrative fares better in the "educational efficacy" and "administrative issues," whereas Clickers outperforms Socrative in the "technological-related issues." It is worth pointing out that both Socrative and Clickers are tantamount in "psychological aspects" yielding no negative experiences. The results of this study reveal that two main factors, cost and technological infrastructure, are determinative in the incorporation and appreciation of such systems in an educational setting.Article Citation - WoS: 21Citation - Scopus: 35Deep Learning-Based Computer-Aided Diagnosis (cad): Applications for Medical Image Datasets(Mdpi, 2022) Kadhim, Yezi Ali; Khan, Muhammad Umer; Mishra, AlokComputer-aided diagnosis (CAD) has proved to be an effective and accurate method for diagnostic prediction over the years. This article focuses on the development of an automated CAD system with the intent to perform diagnosis as accurately as possible. Deep learning methods have been able to produce impressive results on medical image datasets. This study employs deep learning methods in conjunction with meta-heuristic algorithms and supervised machine-learning algorithms to perform an accurate diagnosis. Pre-trained convolutional neural networks (CNNs) or auto-encoder are used for feature extraction, whereas feature selection is performed using an ant colony optimization (ACO) algorithm. Ant colony optimization helps to search for the best optimal features while reducing the amount of data. Lastly, diagnosis prediction (classification) is achieved using learnable classifiers. The novel framework for the extraction and selection of features is based on deep learning, auto-encoder, and ACO. The performance of the proposed approach is evaluated using two medical image datasets: chest X-ray (CXR) and magnetic resonance imaging (MRI) for the prediction of the existence of COVID-19 and brain tumors. Accuracy is used as the main measure to compare the performance of the proposed approach with existing state-of-the-art methods. The proposed system achieves an average accuracy of 99.61% and 99.18%, outperforming all other methods in diagnosing the presence of COVID-19 and brain tumors, respectively. Based on the achieved results, it can be claimed that physicians or radiologists can confidently utilize the proposed approach for diagnosing COVID-19 patients and patients with specific brain tumors.Article Citation - Scopus: 1A User Task Design Notation for Improved Software Design(PeerJ Inc., 2021) Ozcan,E.; Topalli,D.; Tokdemir,G.; Cagiltay,N.E.System design is recognized as one of the most critical components of a software system that bridges system requirements and coding. System design also has a significant impact on testing and maintenance activities, and on further improvements during the lifespan of the software system. Software design should reflect all necessary components of the requirements in a clear and understandable manner by all stakeholders of the software system. To distinguish system elements, separation of concerns in software design is suggested. In this respect, identification of the user tasks, i.e., the tasks that need to be performed by the user, is not currently reflected explicitly in system design documents. Our main assumption in this study is that software quality can be improved significantly by clearly identifying the user tasks from those that need to be performed by the computer system itself. Additionally, what we propose has the potential to better reflect the user requirements and main objectives of the system on the software design and thereby to improve software quality. The main aim of this study is to introduce a novel notation for software developers in the frame of UML Activity Diagram (UMLAD) that enables designers to identify the user tasks and define them separately from the system tasks. For this purpose, an extension of UML-AD, named UML-ADE (UML-Activity Diagram Extended) was proposed. Afterwards, it was implemented in a serious game case for which the specification of user tasks is extremely important. Finally, its effectiveness was analyzed and compared to UML-AD experimentally with 72 participants. The defect detection performance of the participants on both diagrams with two real-life serious game scenarios was evaluated. Results show a higher level of understandability for those using UML-ADE, which in turn may indicate a better design and higher software quality. The results encourage researchers to develop specific design representations dedicated to task design to improve system quality and to conduct further evaluations of the impact of these design on each of the above mentioned potential benefits for the software systems. © Copyright 2021 Ozcan et al.Article Citation - WoS: 27Citation - Scopus: 31Health Literacy of Nursing Students and Its Effective Factors(Wiley-hindawi, 2019) Ozen, Nurten; Ozkaptan, Bilge Bal; Coskun, Sabahat; Terzioglu, FusunBackground The insufficiency of health literacy negatively affects the national economy as it leads to increased health service expenditure. It is very important for individuals to have accurate health-related information to reduce these negative effects. Aim The aim of the study is to examine the health literacy of nursing students and its effective factors. Methods This descriptive study was carried out with students from the nursing department of a vocational school of health sciences between September and October 2018 in Turkey. A semi-structured questionnaire regarding the descriptive features of the participants and the European Health Literacy Scale were used for data collection. Results The study included 283 nursing students; 29.3% had a problematic-limited health literacy level. The study found a statically significant difference between student year, high school graduation and family's income level and the total mean score of the HLS-EU scale. Conclusion The subject of health literacy should be integrated into the educational program of nursing students. The nurses are the most important workforce in health services, and awareness about this subject should be raised.Article Citation - WoS: 1Citation - Scopus: 2On Locally Graded Barely Transitive Groups(versita, 2013) Betin, Cansu; Kuzucuoglu, MahmutWe show that a barely transitive group is totally imprimitive if and only if it is locally graded. Moreover, we obtain the description of a barely transitive group G for the case G has a cyclic subgroup aOE (c) x > which intersects non-trivially with all subgroups and for the case a point stabilizer H of G has a subgroup H (1) of finite index in H satisfying the identity chi(H (1)) = 1, where chi is a multi-linear commutator of weight w.Article Effectiveness of Boric Acid in Sepsis in Rats With Cecal Perforation(Springer Nature, 2025) Kurtipek, Ali Can; Dursun, Ali Dogan; Yigman, Zeynep; Ozdemir, Cagri; Kucuk, Aysegul; Gonullu, Ugur; Arslan, MustafaIntroduction and AimSepsis is a systemic inflammatory response that develops in the host against microorganisms, which results in end-organ damage. Boric acid (BA) has been shown to have immune modulatory effects in vitro and in animal studies. The aim of the study is to investigate the effects of high dose BA on lung and kidney tissues in rats with sepsis induced by the CLP method.Method28 rats were randomly divided into four groups: Group C (control group), Group BA, Group CLP (cecal ligation and puncture), and Group CLP + BA. Cecum was ligated below the ileocecal valve and punctured. BA was administered to the treatment groups at an intraperitoneal dose of 200 mg/kg, and at the end of 24 h, lung and kidney tissue samples were collected and evaluated for biochemical and histopathological parameters.ResultsHistopathologically, in kidney tissue, CLP + BA group showed significantly less peritubular capillary dilatation and brush border loss in the proximal tubule epithelium compared to the CLP group. In lung tissue, CLP + BA group had significantly less alveolar wall thickening compared to the CLP group. Biochemical analyses indicated that BA administration reduced oxidative stress in both renal and lung tissues.ConclusionWe found that intraperitoneal administration of high dose boric acid partially ameliorated the tissue damage in rats subjected to CLP induced sepsis. Further studies are needed regarding the dosage and application at different time points.Article Citation - WoS: 17Citation - Scopus: 24Optimization and Energy Analysis of a Novel Geothermal Heat Exchanger for Photovoltaic Panel Cooling(Pergamon-elsevier Science Ltd, 2021) Jafari, Rahim; Jafari, Rahim; Jafari, Rahim; Automotive Engineering; Automotive EngineeringElectrical energy and conversion efficiency of the photovoltaic (PV) solar panels are measured under standard test conditions in some microseconds at the room temperature (25 degrees C). It also is seen that the actual working conditions, on the other hand, with higher ambient temperature and continuous generated heat in the PV cells can lead to reduction in reduce their electricity generation and long-term sustainability. In the current work, the coolant (water + ethylene glycol) circulates between two heat exchangers; the minichannel heat exchanger is bounded to the PV cells and geothermal heat exchanger is buried underground, and it is set to remove the heat from PV cells to the ground. Six control factors of the geothermal cooling system are considered for the purpose of optimization using Taguchi design and main effect analysis. These parameters are pipe length, soil thermal conductivity, coolant flow rate, adjacent coil distance, pipe inner diameter and pipe thickness. The experimental results show that the average net electricity generation of the cooled PV panel is improved 9.8% compared to the PV panel without cooling system. However, with the same geothermal heat exchanger it drops to 6.2% as the cooled panel number is doubled. The simulation results reveal that the optimum configuration of the geothermal cooling system is capable of enhancing the net electricity generation of the twin cooled panels up to 11.6%. The LCOE of the optimized geothermal cooling system was calculated 0.089 euro/kWh versus the reference panel of 0.102 euro/kWh for the case study of 30 kW PV solar plant.Article Citation - WoS: 4Citation - Scopus: 6A Team-Oriented Course Development Experience in Distance Education for Multidisciplinary Engineering Design(Wiley, 2022) Say, Bilge; Erden, Zühal; Erden, Zuhal; Turhan, Cihan; Turhan, Cihan; Say, Bilge; Erden, Zühal; Turhan, Cihan; Say, Bilge; Energy Systems Engineering; Software Engineering; Mechatronics Engineering; Energy Systems Engineering; Mechatronics Engineering; Software EngineeringBased on the multidisciplinary needs of today's complex and innovative technology, accreditation bodies of engineering demand proof of multidisciplinary teamwork in undergraduate engineering curricula. This article reports the design and conduct of a Multidisciplinary Engineering Design (MED) course initiated as a result of accreditation process requirements. The course, which consists of multidisciplinary lectures, practice sessions, and various phases of a multidisciplinary team project, was conducted online because of the COVID-19 pandemic by a multidisciplinary team of instructors using multiple software tools to enhance collaboration. In general, the course outcomes were satisfied under the current design, and several points for further improvement and elaboration were collected via quantitative and qualitative evaluations. Accordingly, the results show that the project-based and team-based MED course, in terms of multidisciplinary course management and its outcomes, can benefit from the use of software tools in creating a multidisciplinary team in distance education by means of enhanced cooperation and motivation among the participants.Article Citation - WoS: 42Citation - Scopus: 42Sol-Gel Synthesis and Photocatalytic Activity of B and Zr Co-Doped Tio2(Pergamon-elsevier Science Ltd, 2013) Kapusuz, Derya; Park, Jongee; Ozturk, AbdullahEffects of boron (B) and/or zirconium (Zr) doping on photocatalytic activity of sol-gel derived titania (TiO2) powders were investigated. A conventional, non-hydrous sol-gel technique was applied to synthesize the B, Zr doped/co-doped TiO2 powders. Doping was made at molar ratios of Ti/B=1 and Ti/Zr=10. Sol-gel derived xero-gels were calcined at 500 degrees C for 3 h. The crystal chemistry and the morphology of the undoped and B, Zr doped/co-doped TiO2 nanoparticles were investigated using X-ray diffractometer and scanning electron microscope. Nano-scale (9-46 nm) TiO2 crystallites were obtained after calcination. Doping and co-doping decreased the crystallite size. Photocatalytic activity was measured through the degradation of methylene blue (MB) under 1 h UV-irradiation using a UV-vis spectrophotometer. Results revealed that B doping into anatase caused the formation of oxygen vacancies, whereas Zr addition caused Ti substitution. Both B and Zr ions had a profound effect on the particle morphology and photocatalytic activity of TiO2. The photocatalytic activity of B and Zr doped TiO2 particles increased from 27% to 77% and 57%, respectively. The best activity (88.5%) was achieved by co-doping. (C) 2013 Elsevier Ltd. All rights reserved.Article Citation - WoS: 34Citation - Scopus: 37Hydroxyapatite-Nanosphere Supported Ruthenium(0) Nanoparticle Catalyst for Hydrogen Generation From Ammonia-Borane Solution: Kinetic Studies for Nanoparticle Formation and Hydrogen Evolution(Royal Soc Chemistry, 2014) Durak, Halil; Gulcan, Mehmet; Zahmakiran, Mehmet; Ozkar, Saim; Kaya, MuratThe development of readily prepared effective heterogeneous catalysts for hydrogen generation from ammonia-borane (AB; NH3BH3) solution under mild conditions still remains a challenge in the field of "hydrogen economy". In this study, we report our finding of an in situ generated, highly active ruthenium nanocatalyst for the dehydrogenation of ammonia-borane in water at room temperature. The new catalyst system consists of ruthenium(0) nanoparticles supported on nanohydroxyapatite (RuNPs@nano-HAp), and can be reproducibly prepared under in situ conditions from the ammonia-borane reduction of Ru3+ ions exchanged into nanohydroxyapatite (Ru3+@nano-HAp) during the hydrolytic dehydrogenation of ammonia-borane at 25 +/- 0.1 degrees C. Nanohydroxyapatite-supported ruthenium(0) nanoparticles were characterized by a combination of advanced analytical techniques. The sum of their results shows the formation of well-dispersed ruthenium(0) nanoparticles with a mean diameter of 2.6 +/- 0.6 nm on the surface of the nanospheres of hydroxyapatite by keeping the host matrix intact. The resulting RuNPs@nano-HAp are highly active catalyst in the hydrolytic dehydrogenation of ammonia-borane with an initial TOF value of 205 min(-1) by generating 3.0 equiv. of H-2 per mole of ammonia-borane at 25 +/- 0.1 degrees C. Moreover, they are sufficiently stable to be isolated and bottled as solid materials, which can be reused as active catalyst under the identical conditions of first run. The work reported here also includes the following results: (i) monitoring the formation kinetics of the in situ generated RuNPs@nano-HAp by hydrogen generation from the hydrolytic dehydrogenation of ammonia-borane as the reporter reaction. The sigmoidal kinetics of catalyst formation and concomitant dehydrogenation fits well to the two-step, slow nucleation, followed by autocatalytic surface growth mechanism, P -> Q (rate constant k(1)) and P + Q -> 2Q (rate constant k(2)), in which P is Ru3+@nano-HAp and Q is the growing, catalytically active RuNPs@nano-HAp; (ii) the compilation of kinetic data for the RuNPs@nano-HAp catalyzed hydrolytic dehydrogenation of ammonia-borane depending on the temperature and catalyst concentration to determine the dependency of reaction rate on catalyst concentration and activation parameters (E-a, Delta H-#, and Delta S-#) of the reaction.
