Scopus İndeksli Yayınlar Koleksiyonu

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

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Citation - WoS: 5
Citation - Scopus: 5
1-6 Years Aged Childrens Mothers' First Aid for Burns Observation in Mardin City Center
(derman Medical Publ, 2013) Demir, Cemil; Sahin, Deniz Say; Demir, Cemil; Department of Medical Services and Techniques / Tıbbi Hizmetler ve Teknikleri Bölümü
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.
Citation - WoS: 0
Citation - Scopus: 0
Abnormal Heart Sound Detection Using Ensemble Classifiers
(Institute of Electrical and Electronics Engineers Inc., 2019) Zan, H.; Yildiz, A.; Zan, Hasan; Department of Computer Engineering / Bilgisayar Mühendisliği Bölümü
Phonocardiogram is used for ambulatory diagnostic to assess health status of heart and detect cardiovascular disease. The goal of this study is to develop automatic classification method of PCG recordings collected from different databases and recorded in a different way. For this purpose, after various time and frequency domain features are extracted from PCG recordings obtained from two databases, recordings are subjected to pre-classification in order determine which database they are obtained from. Before final classification, various time, frequency and time-frequency domain features of classified recordings are extracted. These features are fed into four different classification ensembles trained with training dataset. With final decision rule, proposed algorithm achieved an accuracy of 98.9%, a sensitivity of 93.75% and a specify of 99.5%. © 2018 IEEE.
Citation - WoS: 6
Citation - Scopus: 14
Adsorptive Performance of Magnetic Nano-Biosorbent for Binary Dyes and Investigation of Comparative Biosorption
(Springer Nature, 2019) Tarhan, T.; Tarhan, Tuba; Tural, B.; Boga, K.; Tural, S.; Department of Medical Services and Techniques / Tıbbi Hizmetler ve Teknikleri Bölümü
The individual and competitive biosorption capacities of Metanil Yellow (MY) and Reactive Black 5 (RB5) by glutaraldehyde cross-linked magnetic chitosan nanoparticles (GMCNs) were studied. Competitive biosorption of the MY and RB5 dyes by the GMCNs has never been reported previously. Fourier transform infrared technique has been used to show the biosorbed MY and RB5 dyes onto GMCNs. During the studies, various essential factors influencing the biosorption, like adsorbate concentration, pH of the solution and contact time have been monitored. The equilibrium was achieved within 17 h for single dyes and 3 h for binary mixture at pH 3. The biosorption capacities were 620 mg/g for dye MY and 2549 mg/g for dye RB5 at pH 3, 30 °C. The second-order kinetic model has good compatibility with the dynamical biosorption behavior of a single dye and binary mixture. In order to study the competition biosorption of the RB5 and MY dyes in mixture solutions, the intraparticle diffusion model was used. Competition biosorption through analysis of the intraparticle diffusion model apparently favored the RB5 dye more than the MY dye on the GMCNs in mixture solutions. The biosorbent was regenerated efficiently through the alkaline solution and was then reused ten times for biosorption–desorption cycles. © 2018, Springer Nature Switzerland AG.
Citation - Scopus: 0
Advances in Nano Vaccines: Covid-19
(Bentham Science Publishers, 2023) Keskin, Cumali; Nasibova, A.; Hoseinnejhad, S.; Selimoğlu, A.; Baran, M.F.; Keskin, C.; Department of Medical Services and Techniques / Tıbbi Hizmetler ve Teknikleri Bölümü
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.
Citation - WoS: 2
Citation - Scopus: 3
Analysis of Solar Inverter Thd According To Pwm's Carrier Frequency
(Institute of Electrical and Electronics Engineers Inc., 2015) Cangi, H.; Adak, Süleyman; Adak, S.; Department of Electricity and Energy / Elektrik ve Enerji Bölümü
Solar PV systems are usually used in the generation of power systems. Electricity produced in Photovoltaic systems in the form of direct current. In order to convert direct current to alternating current used converters, which are harmonic source. In this thesis study, output distortion currents of solar inverter t are analyzed for various PWM's carrier frequency. Analytical expressions related to obtained numerical results, which was found by curve fitting method. Simulations are implemented in MATLAB and Simulink software. R-L inductive load is implemented in hardware to show the effectiveness of the proposed system. © 2015 IEEE.
Citation - Scopus: 0
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.
Citation - Scopus: 0
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.
Citation - Scopus: 0
Brain Tumor Detection From Brain Mri Images With Deep Learning Methods;
(Institute of Electrical and Electronics Engineers Inc., 2024) Aykat, S.; Aykat, Şükrü; Department of Computer Engineering / Bilgisayar Mühendisliği Bölümü
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.
Citation - WoS: 8
Citation - Scopus: 3
Cardioprotectiveeffectsof Hypericumtriquetrifoliumturra. Against Cyclophosphamide Related Cardiotoxicity in Rats
(2018) Çetik Yıldız, Songül; Keskin, Cumali; Ayhanci, Adnan; Şahintürk, Varol; Yıldız, Songul Cetık; Keskin, Cumali; Department of Medical Services and Techniques / Tıbbi Hizmetler ve Teknikleri Bölümü
Cyclophosphamide (CYP) is commonly used as anticancer agent but its usage is limited by cardiotoxic side effects such as dose-dependent cardiac damage, morphologically defined necrosis and bleeding. Hypericum triquetrifoliumTurra. (HT) shows anti-oxidative and anticarciogenic properties with its rich phenolic contents. The current study was designed to investigate the possible protective effect of HT on CYP-induced cardiotoxicity. Albino ratswererandomlydividedinto9groups,eachincluded7animals.Serumcreatinekinase-MB(CK-MB), malondialdehyde (MDA), aspartate transaminase (AST), glutathione (GSH), total antioxidant (TAC) and total oxidant capacity (TOC) levels were investigated. Furthermore, the cardiac tissue samples were investigated histopatologically. While the levels of serum CK-MB, MDA, AST and TOC were high, the levels of serum GSH and TAC levels were low in the CYP groups. It was also observed that CYP-induced cardiotoxicity was dose dependent. In the treatment with CYP plus HT doses there was observed an essential decrease in the CYP cardiotoxicity; decreased cell damage and oxidative stress parameters and also increased GSH and TAC levels. Based on our findings, it can be proposed that HT seed methanol extract was a strong candidate in preventing the CYP-induced cardiotoxicity.
Citation - WoS: 0
Citation - Scopus: 1
Classification of Eeg Signals Using Hilbert-Huang Transform-Based Deep Neural Networks
(IEEE, 2019) Zan, Hasan; Yildiz, Abdulnasir; Ozerdem, Mehmet Sirac; Zan, Hasan; Department of Computer Engineering / Bilgisayar Mühendisliği Bölümü
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.
Citation - WoS: 0
Citation - Scopus: 0
Classification of Epileptic and Healthy Individual Eeg Signals Using Neural Networks
(Ieee, 2020) Aykat, Sukru; Senan, Sibel; Ensari, Tolga; Aykat, Şükrü; Department of Computer Engineering / Bilgisayar Mühendisliği Bölümü
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.
Citation - Scopus: 6
Contribution of Landraces in Wheat Breeding
(Springer International Publishing, 2021) Nadeem, M.A.; Aktaş, Hüsnü; Yeken, M.Z.; Tekin, M.; Mustafa, Z.; Hatipoğlu, R.; Aktaş, H.; Baloch, F.S.; Department of Seed Production / Tohumculuk Teknolojisi Bölümü
Agricultural production system is extremely vulnerable to climate change, and this change will heavily affect the grain yields, thereby threating the food security worldwide. People from developing countries are at greatest risk of experiencing food insecurity, and today, millions of people are going to bed hungry. Wheat is serving as a staple food for millions of people around the world. Development of high-yielding wheat varieties during the Green Revolution is considered an important event in agricultural history. However, these plant breeding activities also resulted in genetic erosion in wheat. Moreover, it is also believed that after domestication process, selection process also resulted in the loss of genetic diversity of wheat. Therefore, commercial wheat cultivars are prone to various biotic and abiotic stresses. To combat with climate changes and to serve enough quantity of food with quality, there is a need to harness wheat landraces. Landraces are considered as repository of gene pool that enhance the biodiversity and maintain and stabilize the ecosystem in a sustainable way to make it functional. Wheat landraces are traditional crop populations developed by the farmers through natural and human selection under their years of cultivations and have adaptation to local environment and management practices. Wheat landraces have more genetic diversity compared to their cultivated ones, and breeding community has utilized their potential in development of climate-resilient wheat cultivars. Here, we are exploring the role of landraces in wheat breeding and hoping that provided information will catch the attention of breeding community to collect, conserve, and perform breeding activities using wheat landraces. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2021. All rights reserved.
Citation - Scopus: 0
A Critical Analysis of Sustainable Destination Governance From Environmental Perspective: A Systematic Review
(Taylor and Francis, 2022) Çakar, K.
[No abstract available]
Citation - WoS: 1
Citation - Scopus: 2
Decolonizing Architectural Education: Towards an Affective Pedagogy
(Taylor and Francis, 2017) Tan, P.; Petrescu, D; Trogal, K
Citation - Scopus: 1
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.
Citation - Scopus: 3
Derin Öğrenme ile Büyük Veri Kümelemlerinden Saldırı Türlerinin Sınıflandırılması
(Institute of Electrical and Electronics Engineers Inc., 2019) Ahmetoğlu, Hüseyin; 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.
Citation - Scopus: 4
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, Lale; Alptekin, A.; Karabacak, A.; Yakar, M.; Department of Architecture and Urban Planning / Mimarlık ve Şehir Planma Bölümü
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.
Citation - WoS: 3
Citation - Scopus: 3
Detection of Trichomonas Vaginalis in Vaginal Speciemens From Women by Wet Mount, Culture and Pcr
(derman Medical Publ, 2015) Demir, Cemil; Gungoren, Arif; Demir, Cemil; Hakverdi, Ali Ulvi; Duran, Nizami; Department of Medical Services and Techniques / Tıbbi Hizmetler ve Teknikleri Bölümü
Aim: Trichomoniasis, a sexually transmitted infection (STI) caused by Trichomonas 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 Gynecology, 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.R esult: 56 out of 200 patients 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. Discussion: 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.
Citation - Scopus: 2
Deterioration Analysis of Historical Village House Structure in Mersin Kanlıdivane Archaeological Area by Uav Method
(Mersin University, 2023) Karataş, Lale; Dal, M.; Department of Architecture and Urban Planning / Mimarlık ve Şehir Planma Bölümü
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.
Citation - Scopus: 9
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.

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