Scopus İndeksli Yayınlar Koleksiyonu

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

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Citation - WoS: 6
Citation - Scopus: 6
1-6 Years Aged Childrens Mothers' First Aid for Burns Observation in Mardin City Center
(Derman Medical Publ, 2013) Inanc, Betul Battaloglu; Sahin, Deniz Say; Demir, Cemil
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.
Abnormal Heart Sound Detection Using Ensemble Classifiers
(IEEE, 2018) Zan, Hasan; Yildiz, Abdulnasir
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%.
Citation - WoS: 7
Citation - Scopus: 17
Adsorptive Performance of Magnetic Nano-Biosorbent for Binary Dyes and Investigation of Comparative Biosorption
(Springer international Publishing Ag, 2019) Tarhan, Tuba; Tural, Bilsen; Boga, Kenan; Tural, Servet
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 degrees 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.
Advances in Nano Vaccines: Covid-19
(Bentham Science Publishers, 2023) Asefy, Z.; Nasibova, A.; Hoseinnejhad, S.; Selimoğlu, A.; Baran, M.F.; Keskin, C.; 21.02. Department of Medical Services and Techniques / Tıbbi Hizmetler ve Teknikleri Bölümü; 21. Vocational School of Health Services / Sağlık Hizmetleri Meslek Yüksekokulu; 01. Mardin Artuklu University / Mardin Artuklu Üniversitesi
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.
Alzheimer’s Classification with a MaxViT-Based Deep Learning Model Using Magnetic Resonance Imaging
(Interdisciplinary Publishing Academia, 2025) Demirtaş Alpsalaz, S.; Aslan, E.; Özüpak, Y.; Alpsalaz, F.; Uzel, H.
Alzheimer’s disease (AD), a progressive neurodegenerative disorder, poses significant challenges for early diagnosis due to subtle symptom onset and overlap with normal aging. This study aims to develop an effective deep learning model for classifying four AD stages (Non-Demented, Very Mild Demented, Mild Demented, Moderate Demented) using brain MRI scans. We propose a Multi-Axis Vision Transformer (MaxViT)-based framework, leveraging transfer learning and robust data augmentation on the Kaggle Alzheimer’s MRI Dataset to address class imbalance and enhance generalization. The model employs MaxViT’s multi-axis attention mechanisms to capture both local and global patterns in MRI images. Our approach achieved a classification accuracy of 99.60%, with precision of 99.0%, recall of 98.1%, and F1-score of 98.51%. These results highlight MaxViT’s superior ability to differentiate AD stages, particularly in distinguishing challenging early stages. The proposed model offers a reliable tool for early AD diagnosis, laying a strong foundation for future clinical applications and interdisciplinary research in neurodegenerative disease detection. Future work should explore larger, more diverse datasets and additional biomarkers to further validate and enhance model performance. © 2025 Elsevier B.V., All rights reserved.
Citation - WoS: 2
Citation - Scopus: 4
Analysis of Solar Inverter THD According to PWM's Carrier Frequency
(IEEE, 2015) Cangi, Hasan; Adak, Suleyman
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.
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: 7
Bioactive Components, Antioxidant Capacity, and Antimicrobial Activity of Berberis Crataegina Fruit
(Elsevier B.V., 2024) Ercan, L.
Research highlighting the benefits of plants provides possibilities for their application as food preservatives and in complementary medicine. The fruits of the wild shrub species Berberis crataegina, which humans eat, were examined in this study. The objective has been to ascertain the fruit's bioactive constituents, including minerals, phenolic compounds, fatty acids, and volatile components, in addition to its antioxidant and antibacterial properties. The antioxidant capacity of B. crataegina fruit was investigated in vitro by DPPH, DMPD, ABTS, FRAP, CUPRAC, and Total antioxidant methods. Additionally, the disk diffusion technique was used to assess its antibacterial impact on fungus and bacteria. It was determined that the fruit of B. crataegina is rich in Ca (27399 ppm), K (9634 ppm) Mg (5052 ppm), and Fe (470 ppm), contains essential oils such as alpha-linolenic acid (37%), and oleic acid (14%). Strong antioxidant qualities were demonstrated by B. crataegina, particularly in the ABTS and CUPRAC assays. In addition to 47 volatile compounds consisting mostly of aldehydes, fatty acids, and terpenes, 52 phenolic compounds were detected, including chlorogenic acid, rutin hydrate, and procyanidin B2. It also showed antimicrobial properties on S. aureus, P. aeruginosa, and K. pneumoniae. © 2024 Elsevier Ltd
Citation - WoS: 2
Citation - Scopus: 2
Biological Evaluation and Molecular Docking Studies of Novel Aza-Acyclic Nucleosides as Putative Antimicrobial, Anticancer, and Antioxidant Agents
(BioMed Central Ltd, 2025) Alhilal, M.; Alhilal, S.; Gomha, S.M.; Farag, B.; Sabancilar, I.; Ouf, S.A.
This study aimed to synthesize new aza-acyclic nucleosides (aza-acyclovir) and evaluate the efficacy of these synthetic compounds as potential antimicrobial, anticancer, and antioxidant agents. We prepared two novel aza-acyclic nucleosides via two reactions. The first reaction involved trichloroisocyanuric acid and dibenzosulphonyl diethylamine, and the second reaction involved trichloroisocyanuric acid and diethanolamine. We then used one-dimensional nuclear magnetic resonance (NMR) spectroscopy, two-dimensional NMR spectroscopy, infrared spectroscopy, and mass spectrometry to determine the structures of the resulting compounds. In this regard, we first tested the antimicrobial activity of these compounds against various bacteria, including Bacillus cereus, B. subtilis, Staphylococcus epidermidis, Staphylococcus aureus, Escherichia coli, Proteus mirabilis, and Pseudomonas aeruginosa, and against fungal pathogens, including Aspergillus fumigatus, Candida tropicalis, and Alternaria solani. Next, the precise mode for the interaction between synthesized aza-acyclic nucleosides and the target protein 8HQ5 was elucidate using molecular docking analysis. Subsequently, we tested the synthesized compounds for putative anticancer activity at different concentrations (i.e., 12.5, 25, 50, 100, and 200 µg/mL) against A549 cell (Human epithelial lung carcinoma) and human umbilical vein endothelial cell (HUVEC) lines. In addition, compounds antioxidant activity was evaluated using the 2,2-diphenyl-1-picrylhydrazyl-based and cupric reducing antioxidant capacity-based methods at different concentrations (i.e., 31.25, 62.5, 125, 250, and 500 µg/mL). Results revealed that both aza-acyclic nucleosides inhibited both bacterial and fungal strains, although toxicity toward bacterial strains was generally greater than toward fungal strains. We also observed that the molecular docking results were consistent with the results of in vitro antimicrobial assessments. Further, both aza-cyclic nucleosides exhibited cytotoxic effects against both the A549 cell and HUVEC lines. Despite exhibiting lower radical scavenging activity than ascorbic acid (an antioxidant compound used as a standard), Compound 1 from the novel synthetic aza-acyclic nucleosides showed a higher reduction capacity, which was dose-dependent. Overall, we report newly synthesized compounds that show promising antimicrobial, anticancer, and antioxidant effects. © 2025 Elsevier B.V., All rights reserved.
Botulism
(Nova Science Publishers, Inc., 2024) Dicle, Y.; Department of Basic Medical Sciences / Temel Tıp Bilimleri Bölümü; 10. Faculty of Medicine / Tıp Fakültesi; 01. Mardin Artuklu University / Mardin Artuklu Üniversitesi
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: 1
Brain Tumor Detection From Brain Mri Images With Deep Learning Methods;
(Institute of Electrical and Electronics Engineers Inc., 2024) Aykat, S.; 08.01. Department of Computer Engineering / Bilgisayar Mühendisliği Bölümü; 08. Faculty of Engineering and Architecture / Mühendislik Mimarlık Fakültesi; 01. Mardin Artuklu University / Mardin Artuklu Üniversitesi
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 - Scopus: 2
Classification of EEG Signals Using Hilbert-Huang Transform-Based Deep Neural Networks
(IEEE, 2019) Zan, Hasan; Yildiz, Abdulnasir; Ozerdem, Mehmet Sirac
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; 08.01. Department of Computer Engineering / Bilgisayar Mühendisliği Bölümü; 08. Faculty of Engineering and Architecture / Mühendislik Mimarlık Fakültesi; 01. Mardin Artuklu University / Mardin Artuklu Üniversitesi
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.
Collective Capabilities and Local Democratic Governance to Transform Public Education: A Case Study on the Brazilian State of Ceará
(IGI Global, 2025) Çuhadar, Pınar
Amartya Sen's Capability Approach (CA) provides an alternative understanding of development, welfare, and democracy. Amartya Sen focuses on the non-material roots of welfare, such as agency freedom, and the material roots of economic development. However, his approach's liberal roots, which put individuals at the center of analysis, have been criticized in various aspects. The literature on collective capabilities provides arguments for filling these criticized gaps in the CA. This study aims to discuss the role of social movements in transforming the power relations created by the neoliberal economic and political system, along with its relationship between education and deliberative democracy through collective capabilities, using the solid example of the Brazilian state of Ceará. By examining Ceará, it is expected to see how collective capabilities can transform public education into a more inclusive direction in the long term. © 2025 Elsevier B.V., All rights reserved.
Composition and Characterization of Phytochemicals in Aromatic Species
(Elsevier, 2025) Baran, A.; Güneş, Z.; 16.03. Department of Medical and Aromatic Plants / Tıbbi ve Aromatik Bitkiler Bölümü; 16. School of Vocational Higher School of Kızıltepe/ Kızıltepe Meslek Yüksekokulu; 01. Mardin Artuklu University / Mardin Artuklu Üniversitesi
Plants have a crucial role in sustaining all living organisms. Plants possess unique systems that they have evolved to counteract different biotic and abiotic stressors, ensuring the continuation of their essential functions. Specifically, the organisms generate secondary metabolites that bear significant bioactivity. Aromatic plants, rich in bioactive compounds, produce these phytochemicals as a defense mechanism and for preventive purposes, exerting substantial impacts on human health. The effects encompass antibacterial, anticancer, antioxidant, antidiabetic, and antiinflammatory actions. Incorporating plants with these effects into the human diet enhances the significance of plants in terms of their defensive and beneficial characteristics. The characterization of bioactive compounds in aromatic plants can be determined utilizing a variety of equipment and methodologies. By analyzing the chemical composition of the plant, we can establish the specific type and quantity of bioactive compounds it contains. These characterization techniques play a crucial role in determining the direction of many activities involving bioactive compounds. This study aimed to investigate the secondary metabolites, bioactivities, and characteristics of aromatic plants. © 2025 Elsevier Inc. All rights reserved.
A Critical Analysis of Sustainable Destination Governance From Environmental Perspective: A Systematic Review
(Taylor and Francis, 2022) Çakar, K.; 11.03. Department of Tourism Management / Turizm İşletmeciliği Bölümü; 11. Faculty of Tourism / Turizm Fakültesi; 01. Mardin Artuklu University / Mardin Artuklu Üniversitesi
[No abstract available]
Citation - WoS: 2
Citation - Scopus: 3
Decolonizing Architectural Education: Towards an Affective Pedagogy
(Routledge, 2017) Tan, Pelin; 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.; 11.03. Department of Tourism Management / Turizm İşletmeciliği Bölümü; 11. Faculty of Tourism / Turizm Fakültesi; 01. Mardin Artuklu University / Mardin Artuklu Üniversitesi
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) 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.
Destructive Effect of Heavy Metals on the Oxidative Defense Mechanism of Some Aromatic Plants
(Elsevier, 2025) Kanber, S.; Yildiztekin, M.; Baran, A.
Aromatic plants are used in the production of natural medicines, treatment of various diseases, production of essential oils, and as a food source. Many plants are cultivated for their aromatic compounds. The essential oils they produce are used as antibacterial, antifungal, antiviral, and insecticidal agents, and as appetite suppressants against herbivores. Heavy metal pollution, which has become a significant environmental issue, can be highly reactive and toxic to living cells. Aromatic plants may be exposed to heavy metals in both natural and cultivated environments, leading to stress and oxidative damage in the plants. Some heavy metals cannot undergo biological degradation reactions, while others, due to their immobile nature, cannot be removed from the environment, resulting in accumulation. Those that are mobile can enter cells through various transport pathways and negatively affect physiological processes in the plant. The formation of reactive oxygen species (ROS) occurs as a result of these physiological processes. ROS types, such as O2 •-, 1O2, H2O2, and •OH, can be hazardous to cells, cause structural damage, and lead to cell death. The imbalance between the accumulation and removal of these oxidative molecules in the cell causes oxidative stress. The effects of oxidative stress can be observed in enzyme inactivation, disruption of membrane integrity, and inhibition of growth in plants. To mitigate the effects of oxidative stress and defend themselves, plants have antioxidant defense mechanisms. These mechanisms include enzymatic antioxidants such as superoxide dismutase, peroxidase, ascorbate peroxidase, and nonenzymatic antioxidants such as lipid-soluble and water-soluble reducing agents. The type, dose, and duration of heavy metal exposure, as well as the species and developmental stages of the plant, trigger various antioxidant defense mechanisms and responses. In this process, the role of ROS detoxifying enzymes is particularly significant. Due to their various properties, such as metal exclusion, aromatic plants are able to cope with oxidative stress. In conclusion, understanding the factors that affect the antioxidant defense mechanisms and enzyme inhibition in plants under heavy metal stress, and developing strategies to address them, is important for enhancing plant productivity and ensuring adaptation to environmental stress. © 2025 Elsevier Inc. All rights reserved.

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