Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12514/3596

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1-6 Years Aged Childrens' Mothers' First Aidfor Burns Observation İn Mardin City Center;
(Derman Medical Publishing, 2013) Inanç, B.B.; Şahin, D.S.; Demir, C.
Aim: In this study, we aimed to determine the mothers' knowledge levels about burns and first aid. When they encounter burns, what will they do in the first instance and emergency application. At the end of this research correct information given to mothers. Aimed to supply the deficiency information.Material and Method: 25-49 age group of mothers who have 1-6 years aged childrens' in the study were choisen ramdomly. After being informed about the study, only volunteries for questionnaires were used. There were a thousand mothers. Results: Children' 21.6 % have burns. 81.4% burns were in their house, 18.6 % burns were out of their house. Often burns case were 2-4 years aged group children. 89.6 % mothers found themselves have no true knowledge about first aid for burns. Discussion: Mothers' knowledge more deficient about the first aid for the burns. In this regard mothers' lack of knowledge must be correct with the training activities to be applied. Prime necessity of the mothers were informed about the right applications.
Advances in Nano Vaccines: Covid-19
(Bentham Science Publishers, 2023) Asefy, Z.; Nasibova, A.; Hoseinnejhad, S.; Selimoğlu, A.; Baran, M.F.; Keskin, C.
Nanovaccines are considered a new approach in vaccination methodology specially for Covid-19 infection. Nanovaccines are more effective than conventional vaccines; Because ofhumoral and cellular immune responses which are simultaneously induced. Nano vaccines are assumed to upregulate the immune system as well as infection prevention. They are probably promising candidates for chronic autoimmune diseases such as multiple sclerosis, rheumatoid arthritis, AIDS, and COVID-19 infectious. Based on this, we will describe the different working mechanisms of nanoparticles. In addition, applicable nano vaccines which have been approved for COVID-19 therapy Covid 19 are described. Antigen-carrying nanoparticles can affect the immune response and significantly enhance cell-T cytotoxic response. Nanoscale particles can improve vaccine efficiency because of their biomedical benefits. These properties include Small size, which allows better penetration into tumors and more half-life tumor cells. Current vaccines, however, are required to re-formulate almost because of gradual antigen modifications. More ever these vaccines do not protect against mutations and the low half-life of current vaccines due to limitations of current technologies. Nano vaccine formulation improvements have been required to induce a widespread and potent immune response. In this review, we provide an overview ofthe types and applications of nanoparticles in vaccines and their outstanding properties that made them alternatives for Covid-19 treatment. © 2023, Bentham Books imprint.
Anaphylaxis
(Nova Science Publishers, Inc., 2023) Ayik, D.B.; Dogan, D.A.
Anaphylaxis is a serious condition that usually occurs suddenly and requires immediate treatment, which can lead to hypoxemia and/or shock and death. Nurses should be able to recognize early signs of anaphylaxis and know how to intervene appropriately. Although the risk of complications from anaphylaxis can be reduced with timely and appropriate treatment, the ideal approach is to prevent anaphylaxis from developing. Routine education of patients and their families is critical to prevent recurrence of anaphylaxis, and teaching this knowledge is a key role of the nurse. © 2023 by Nova Science Publishers, Inc. All rights reserved.
Botulism
(Nova Science Publishers, Inc., 2024) Dicle, Y.
Botulism is a rare but serious illness caused by a toxin produced by the Clostridium botulinum bacterium. The toxin can cause paralysis and, in severe cases, it can be fatal. Botulism can be contracted through contaminated food, wound infections, or the use of contaminated drugs. Symptoms typically appear within six to 36 hours after exposure and include blurred vision, dry mouth, difficulty swallowing, and muscle weakness. Diagnosis is typically made through laboratory testing of blood or stool samples from a patient. Treatment involves administering antitoxin medication and supportive care to manage symptoms. Prevention measures include proper food handling and preparation, wound care, and avoiding the use of illicit drugs. While botulism is rare, it is a serious condition that requires prompt medical attention. Early diagnosis and treatment can improve outcomes and reduce the risk of complications. © 2024 Nova Science Publishers, Inc. All rights reserved.
Brain Tumor Detection From Brain Mri Images With Deep Learning Methods;
(Institute of Electrical and Electronics Engineers Inc., 2024) Aykat, S.; Aykat, Şükrü
In this research, a deep learning model is proposed for brain tumor detection using brain MRI image collection. Three pre-trained convolutional neural networks are used as feature extractors. The obtained features are classified as brain tumors, normal, and tumorous using four different classifiers. Our proposed model has achieved a remarkable accuracy of 99.58% in its analysis, which is better than standard techniques. In addition, the proposed method has shown better performance than the convolutional neural network models used in the analysis. © 2024 IEEE.
Classification of Eeg Signals Using Hilbert-Huang Transform-Based Deep Neural Networks
(IEEE, 2019) Zan, Hasan; Yildiz, Abdulnasir; Ozerdem, Mehmet Sirac; Zan, Hasan
Epilepsy is one of the most common neurologic disease. Electroencephalogram (EEG) contains physiologic and pathological information related human nervous system. EEG signals used in this study are obtained from Bonn University, Department of Epileptology EEG database. Original database has five subsets (A, B, C, D, E). Data have been reorganized into three groups which are healthy (AB), interictal (CD) and ictal EEG signals. Furthermore, in order to examine effect of signal length on classification performance, three different lengths are used. Hilbert-Huang transform is applied to the signals and they are represented as image files. Then, generated images are fed into deep neural networks with five different structures for classification. Accuracy is calculated for all cases to asses performance of proposed method. it is clear that successful results could be obtained using Hilbert-Huang transform along with deep learning networks.
Classification of Epileptic and Healthy Individual Eeg Signals Using Neural Networks
(Ieee, 2020) Aykat, Sukru; Senan, Sibel; Ensari, Tolga; Aykat, Şükrü
Electroencephalogram (EEG) are signals used for the analysis of the electrical and functional activity of the brain. These signals are commonly used to detect epileptic seizures. The aim of this study is to classify healthy and epileptic individual EEG signals using artificial neural networks (ANN). For this purpose, the open data source of the University of Bonn was used. The success rates of the classification results obtained with the designed ANN model show the effectiveness of this ANN structure in the application under consideration.
A Critical Analysis of Sustainable Destination Governance From Environmental Perspective: A Systematic Review
(Taylor and Francis, 2022) Çakar, K.
[No abstract available]
Decolonizing Architectural Education: Towards an Affective Pedagogy
(Taylor and Francis, 2017) Tan, P.; Petrescu, D; Trogal, K
Demarketing as a Potential Solution To Overtourism Problems in Tourism Destinations
(Emerald Group Publishing Ltd., 2021) Kodaş, B.; Kodaş, D.
Travels and vacations organised by a large number of people to certain destinations in certain periods cause some negative impacts on the destinations in question. The concept of overtourism, which has become a current issue especially with the anti-tourism demonstrations in certain destinations such as Venice, Barcelona and Dubrovnik as a result of the increasing tourism carrying capacity, has been drawing attention in recent years regarding the sustainability in the destinations. Popular destinations that are affected by overtourism try to develop some strategies in order to minimise the negative impacts of overtourism. One of these strategies is the demarketing strategy that is developed by the destination stakeholders towards the target group. In this chapter of the book, the significance of the concept of demarketing in terms of struggle against overtourism was revealed and how demarketing strategies applied to the marketing mix and different strategies were approached in tourism studies was discussed in detail by addressing the current literature. In addition, suggestions were proposed to the popular destinations that feel the negative impacts of overtourism and will be affected by overtourism also in the future concerning creating their own demarketing strategies and destination planning. © 2021 by Emerald Publishing Limited.
Derin Öğrenme ile Büyük Veri Kümelemlerinden Saldırı Türlerinin Sınıflandırılması
(Institute of Electrical and Electronics Engineers Inc., 2019) Ahmetoglu, H.; Das, R.
One of the solutions proposed to ensure information security is intrusion detection systems. Improving the performance of these systems has been among the most important objectives of information technologies. In this study, a detailed analysis of the explicitly presented CICIDS2017 data set was performed. The data set was rearranged by collecting different types of attacks under the same heading for binary classification. For multiple classifications, all files it contains are combined. Using the new version of the data set, a sample model has been developed with the Full Linked Artificial Neural Network, which is one of the machine learning techniques. This model is encoded with TensorFlow-Keras libraries and classified using network traffic properties. The success of the dual classification results and the multiple classification successes were compared. Multiple classification can include the type of attack. On the other hand, in case of dual classification, the attack is present and no attack status is examined. The success rate of binary classification is expected to reduce false alarm conditions in intrusion detection systems. © 2019 IEEE.
Detection and Documentation of Stone Material Deterioration in Historical Masonry Buildings Using Uav Photogrammetry: a Case Study of Mersin Sarisih Inn
(Mersin University, 2022) Karataş, L.; Alptekin, A.; Karabacak, A.; Yakar, M.
Detection of material degradation of urban facades constitutes a preliminary activity for the preparation of any restoration response project. The traditional method for fixation relies on mechanical contact means and requires a great time effort to obtain a few preliminary points. In addition, the size of buildings and historical places make it difficult to examine the types of material deterioration, and on-site visual analyzes and current inspections by experts can also lead to human-induced errors. The development of methods based on UAV photogrammetry in order to reduce the labor force and margin of error in solving this situation brings great convenience for the detection of material deterioration in historical areas. The aim of the study carried out in this context is to document the material problems of "Sarışıh Han", a historical masonry building located in the Tarsus district of Mersin, which is of great importance for its continuity. Contributing to the documentation, detection and repair of financial problems for the preservation of the cultural heritage of the region and thus the sustainable management of the structures in the geographical region. In this context, material problems in the structure were documented using UAV photogrammetry method. In the study, the use of UAV photogrammetry to support the constraints of material deteriorations allows for more detailed results in façade analysis of material deteriorations, leading to simplification of manual and direct search procedures. © Author(s) 2022.
Detection Of Trichomonas Vaginalis İn Vaginal Speciemens From Women By Wet Mount, Culture And Pcr;
(Journal of Clinical and Analytical Medicine, 2015) Çulha, G.; Gungoren, A.; Demır, C.; Hakverdı, A.U.; Duran, N.
Aim: Trichomoniasis, a sexually transmitted infection (STI) caused by Tricho-monas vaginalis, affects 180 million people worldwide and causes significant morbidity. Infection with T. vaginalis has been associated with vaginitis, exocervicitis, and urethritis in women. Material and Method: In this study, we aim to investigate the presence of T. vaginalis by using three different methods for comparing the results. Two hundred T. vaginalis isolates taken from swap samples were collected in Medical Faculty, Department of Gy-necology, Mustafa Kemal University Polyclinic, and examined genotypically and phenotypically to identify T. vaginalis in Parasitology Department. This research is unique in terms of its contribution to patient treatment, being the first molecular study in Turkey/Hatay to determine Trichomonas (TV) genes stemming from Trichomonas vaginalis strains. Result: 56 out of 200 pa-tients examined were identified as positive and 24 (42.8%) of these were identified through microscopy, 18 (32,1%) with culture and 24 (42,8%) with PCR. The number of those identified through all these methods is 14 (25%). In this study, difference was calculated using three methods (p=0.022) with Cochran’s Q test. When compared with McNemar two by two, no superiority in T. vaginalis diagnosis was found between microscopy and culture (p=0.5), microscopy and PCR (p=0.063), or culture and PCR (p=0.25) methods. Discus-sion: Culture method is not used in routine laboratory procedures and has contamination risk. PCR method shows directly the parasite of DNAs, and so it is thought to be more reliable compared to the other two methods. © 2015, Journal of Clinical and Analytical Medicine. All rights reserved.
Deterioration Analysis of Historical Village House Structure in Mersin Kanlıdivane Archaeological Area by Uav Method
(Mersin University, 2023) Karataş, L.; Dal, M.
The village house located in the Mersin Kanlıdivane archaeological site is one of the oldest settlements in the ruins, built in the second century. The house is mainly built of a yellowish beige limestone. This stone, which is the main material of the building, shows many deterioration patterns today. The aim of the study is to determine the dominant deterioration pattern of the stones in the village house structure in the Mersin Kanlıdivane archaeological site and to investigate the source of the deterioration. In order to investigate the deterioration patterns in the structure, the images obtained by UAV photogrammetry were interpreted and the types of deterioration were mapped. In the study, it is seen that even the types of material problems based on the smallest detail can be determined based on virtual visual inspection, thanks to UAV photogrammetry, without observing the structure in situ with UAV photogrammetry. The findings obtained in the study shows that the color change and surface loss deterioration on the stone surfaces has reached advanced levels as a result of the structure's exposure to the strong climate-induced sun and water effects for centuries. The results of the study show that the main damage observed on the stone surface of the structure is caused by the erosion by the effect of water. Restoration methods should be tried to stabilize the deterioration and replace the most degraded stones. It is recommended to use water-repellent surface coatings to protect the natural stone, especially against the intense water effect in the building. © 2023, Mersin University. All rights reserved.
Determination of Self-Efficacy Beliefs of High School Students Towards Math Literacy
(2011) Özgen, K.; Bindak, R.
The purpose of this study is to determine the high school students' self-efficacy beliefs about math literacy, and examine this beliefs in terms of some variables. The research was conducted on 712 high school students. A questionnaire and Math Literacy Self-Efficacy Scale were used for data collection. The data were analyzed in terms of t-test, one way anova and multiple regression analysis. According to the result of the study: it was determined that there were significant differences in math literacy self-efficacy in terms of gender, school type, class level, math degree, parents' educational status and the importance given to math classes. On the other hand, it was found that, math achievement and importance given to math classes variables were significant predictor of the math literacy self-efficacy. The findings were discussed in the light of related literature. © 2011 Egitim Danismanligi ve Arastirmalari Iletisim Hizmetleri Tic. Ltd. Sti.
Determining the Most Appropriate Spinning Reserve Depending on Demand
(Institute of Electrical and Electronics Engineers Inc., 2016) Tür, M.R.; Erduman, A.; Shobole, A.; Wadi, M.
In the deregulated power industry, effective procurement of the Ancillary Services (AS) is essential in order to both reliable supply to customer and power system security. AS are used in order to operate the system reliably within enterprise safety along with the criteria regarding supply quality and operating conditions. Demand decrease set Spinning Reserve (SR) for power systems and capital cost investments and for all plants. Influential control of SR supply important cost decrease for large power systems. This study propose that set a reserve with the governor action and load shedding function depending on demand. This make possible the reliability of individual units and the uncertainty of the load forecast to the considered for short-term scheduling. While it is easy to implement decisive criterion, this situation does not conform to the structure prediction problems. Thus, the technique have been proposed for determining SR capacity depending on demand. © 2016 IEEE.
Developing Sustainable Policies in Response To Overtourism
(IGI Global, 2020) Çakar, K.
This chapter deals with and underscores sustainable policy responses towards overtourism, which is becoming an increasingly important issue for the survival of tourist destinations. Based on the current literature, this chapter proposes a wide range of policy responses that can be adapted by a variety of elements in tourist destinations, ranging from stakeholders to local residents. As a consequence, the measures and strategies in response to the overtourism phenomenon can expand our understanding of the concept. © 2020 by IGI Global.
Dynamic Panel Data Analysis Of Political Economy, Climate Change And Agriculture İn Developing Countries;
(Turkish Journal of Agricultural Economics, 2020) Çuhadar, P.
Purpose: The aim of this study is to test empirically the relationship between climate change and agriculture in developing countries within the frame of the political economy. The extreme events related to climate change such as floods, desertification, loss of fertile soil, water scarcity, drought, rising at sea level negatively affect human life economically, politically and socially. As a global public good, implementations of natural environment protection strategies seem to be possible through international cooperation. However, the limited state capacity of many developing countries’ do not allow this cooperation. One of the factors preventing this cooperation is the production structure of developing countries. As a matter of fact, the agriculture sector, having great importance of the production, consumption and distribution relations of developing countries, feeds climate change with the use of natural resources and effected by these changes too. Design/methodology/approach: In this context, the relationship between carbon emission levels, agricultural value added, irrigated agricultural land, participatory democracy, urbanization, reel GDP percapita and energy use data belonging to twenty developing countries having the highest agricultural value added between 2000-2014 is examined by the System Generalized Moments Method (GMM-sys). Findings: The agricultural value added and participatory democracy and energy use have statistically significant effect on carbon emission. Originality/value: The study is one of the research that tests the relationship between agriculture and climate change with the political economy variable. © 2020, Turkish Journal of Agricultural Economics. All rights reserved.
Education as a Way To Tackle Overtourism: the Application of the Principles of Responsible Management Education (prme)
(Palgrave Macmillan, 2020) Çakar, K.
The aim of this chapter is to discuss whether the Principles of Responsible Management Education (PRME) can potentially be an integral part of strategies addressing the issue of overtourism. The chapter demonstrates that the PRME can be used as a supporting tool as its principles potentially constitute and underscore the significance of a responsible and sustainable world. As such, they can play a crucial role in drawing the attention of higher education institutions and industry practitioners towards achieving the SDGs, while dealing with the issue of overtourism through education. The chapter also shows that as the measures and targets of the PRME are also in alignment with the SDGs, they can be considered as a highly effective tool in helping overcome the problem of overtourism. © The Author(s) 2020.
The effect of chewing gum on post-cesarean intestine functions;
(2013) Utli, H.; Çalişkan, N.
The study was carried out experimentally in order to analyze the effect of chewing gum on the start of postcesarean intestine functions. The universe of the research was composed of 100 patients who had cesarean operation in Dicle University Training and Research Hospital Obstetrics Clinic between the dates of April-September 2011. Following the operation, addition to standard post-operative care experiment group were asked to chew soft, sugar-free, easily chewable gums that do not include aspartam, sorbitol, xylitol every 2 hours minimum for 15 minutes and maximum for 30 minutes beginning from the 2. hour after operation until starting RI diet. In the study sugar-free chewing gum which is commerically available was used. Control group patients received standard care until they had defecation of gas and stool. Data were collected through descriptive characteristics form and intestine functions tracking form. Data were evaluated with chi-square, fisher exact chisquare, student-t, number, average and percentage. There was statistically significant difference between first defecation time of gas and stool between experiment and control group (p<0.05). It was found that experiment group patients who chewed gum had earlier defecation of gas and stool compared to patients in control group. It is thought that this study would instruct studies to be carried on different patient groups.

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