9 results
Search Results
Now showing 1 - 9 of 9
Conference Object Aldose Reductase Natural Inhibitors From Ethyl Acetate Extracts From Southern Turkey(Taylor & Francis inc, 2010) Onay, Melih; Coruh, Nursen; Isgor, Belgin[No Abstract Available]Letter The Psychosocial Interventions for the Marmara Earthquake Children Survivors: The Lessons Learned(Taylor & Francis inc, 2021) Cihanoglu, Mine; Vatansever, Merve; Erden, Gulsen[No Abstract Available]Article Citation - WoS: 22Citation - Scopus: 22The impact of the using high-fidelity simulation and standardized patients to management of postpartum hemorrhage in undergraduate nursing students: A randomized controlled study in Turkey(Taylor & Francis inc, 2019) Karadas, Merve Mert; Terzioglu, FusunWe examined the efficiency of different simulation methods for the improvement of knowledge and skills of nursing students in the management of postpartum hemorrhage. A total of 84 nursing students participated in the study. Data were obtained using a Semi-Structured Questionnaire Form, Student Satisfaction Evaluation Form, Effective Communication Skills Checklist, Spielberger's State-Trait Anxiety Inventory, and Skills Evaluation Form for Postpartum Bleeding Management. We suggest that the use of different simulation methods may be effective in improving the knowledge and skills of nursing students in the management of postpartum hemorrhage.Review Citation - WoS: 22Citation - Scopus: 39Cybersecurity Deep: Approaches, Attacks Dataset, and Comparative Study(Taylor & Francis inc, 2022) Barik, Kousik; Misra, Sanjay; Konar, Karabi; Fernandez-Sanz, Luis; Murat, KoyuncuCyber attacks are increasing rapidly due to advanced digital technologies used by hackers. In addition, cybercriminals are conducting cyber attacks, making cyber security a rapidly growing field. Although machine learning techniques worked well in solving large-scale cybersecurity problems, an emerging concept of deep learning (DL) that caught on during this period caused information security specialists to improvise the result. The deep learning techniques analyzed in this study are convolution neural networks, recurrent neural networks, and deep neural networks in the context of cybersecurity.A framework is proposed, and a real-time laboratory setup is performed to capture network packets and examine this captured data using various DL techniques. A comparable interpretation is presented under the DL techniques with essential parameters, particularly accuracy, false alarm rate, precision, and detection rate. The DL techniques experimental output projects improvise the performance of various real-time cybersecurity applications on a real-time dataset. CNN model provides the highest accuracy of 98.64% with a precision of 98% with binary class. The RNN model offers the second-highest accuracy of 97.75%. CNN model provides the highest accuracy of 98.42 with multiclass class. The study shows that DL techniques can be effectively used in cybersecurity applications. Future research areas are being elaborated, including the potential research topics to improve several DL methodologies for cybersecurity applications.Article Citation - WoS: 6Citation - Scopus: 6Understanding the Effect of Handedness on Both-Handed Task Performance: an Experimental Study Based on a Haptic-Controlled, Simulation-Based Surgical Skill Training Scenario(Taylor & Francis inc, 2019) Topalli, Damla; Eyuboglu, Burak Gokberk; Cagiltay, Nergiz ErcilUnderstanding the performance on both-handed tasks, such as endoscopic surgery, is critical to better organize and develop appropriate instructional systems to improve the necessary skills of surgeons. However, in the literature, only a limited number of studies have investigated the effect of handedness on both-handed task performance. This study aimed to provide an understanding of the participants' performance differences while performing both-handed tasks through a haptic user interface in a simulated virtual environment specifically developed for surgical training purposes. Twenty-four surgeons attending a medical school in Turkey voluntarily participated in the study. The duration, accuracy, and collision measures were automatically recorded by software. The results revealed that the left-handed participants performed the both-handed tasks (camera: nondominant hand, tool: dominant-hand) in a significantly shorter time than the right-handed participants. This study also showed that haptic-controlled simulation-based surgical skill training systems can potentially provide measures for better understanding the individual behaviors and deliver alternative training environments specific to individual requirements.Article Citation - WoS: 72Citation - Scopus: 98Mapping Human-Computer Interaction Research Themes and Trends From Its Existence To Today: a Topic Modeling-Based Review of Past 60 Years(Taylor & Francis inc, 2021) Gurcan, Fatih; Cagiltay, Nergiz Ercil; Cagiltay, KursatAs it covers a wide spectrum, the research literature of human-computer interaction (HCI) studies has a rich and multi-disciplinary content where there are limited studies demonstrating the big picture of the field. Such an analysis provides researchers with a better understanding of the field, revealing current issues, challenges, and potential research gaps. This study aims to explore the research trends in the developmental stages of the HCI studies over the past 60 years. Automated text mining with probabilistic topic modeling has been used to analyze 41,720 journal articles that are indexed by the SCOPUS database between 1957 and 2018. The results of this study reveal 21 major topics mapping the research landscape of HCI. By extending the discovered topics beyond a snapshot, the topics were analyzed considering their developmental stages, volume, and accelerations to provide a panoramic view that shows the increase and decrease of trends over time. In this context, the transition of HCI studies from machine-oriented systems to human-oriented systems indicates its future direction toward context-aware adaptive systems.Correction Software Development Outsourcing: Challenges and Opportunities in Nigeria (vol 17, Pg 267, 2014)(Taylor & Francis inc, 2015) Casado-Lumbreras, Cristina; Colomo-Palacios, Ricardo; Ogwueleka, Francisca N.; Misra, Sanjay[No Abstract Available]Article Citation - WoS: 4Citation - Scopus: 6Seasonal Changes in Phytoplankton Community Structure in a High Mountain Reservoir, Kuzgun Reservoir, Turkey(Taylor & Francis inc, 2004) Gürbüz, H; Kivrak, E; Soyupak, SSeasonal changes in phytoplankton community structure of Kuzgun reservoir, a high mountain reservoir, were studied during the ice-free period in 2000 and 2001. Bacillariophyta was the dominant group, followed by Chlorophyta and Dinophyta. The dominant species were Synedra delicatissima, Asterionella formosa, Fragilaria crotonensis, Cyclotella kidzingiana, Cyclotella ocellata, Oocystis borgei, Staurastrum longiradiatum, Ankistrodesmus falcatus, Ceratium hirundinella, and Peridinium cinctum. Maximum phytoplankton density was observed in late spring.Article Reevaluation of Plate-Fin Heatsink Natural Convection Correlations for Sideways and Three-Dimensional Inclinations(Taylor & Francis inc, 2025) Mehrtash, MehdiThe common orientations of the plate-fin heat sink for natural convection cooling of electronics are vertical and upward-facing horizontal. However, depending on various use scenarios, the heat sink may be inclined, intentionally or otherwise. In our previous papers concerning this subject, the author proposed a set of correlations for plate-fin heat sinks covering all inclination angles backward and forward (pitch rotation) from the vertical position of the heat sink. The set was based on a series of computational simulations with a validated model. At the time, tilting the heat sink sideways (roll rotation) was not considered. In the present study, though, the sideways inclination of the plate-fin heat sinks is simulated using our previous model only by adjusting the direction of the gravitational acceleration vector, thus requiring no additional validation. It is determined that the previously proposed correlation is valid up to 80 degrees sideways inclinations of the heat sink. Interesting flow structures are observed when the heat sink is tilted 90 degrees sideways. Furthermore, it is demonstrated that the correlation surprisingly remains valid if the heat sink is simultaneously rotated in both axes (pitch and roll).
