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    Use of Artificial Intelligence in Planning Postoperative Nursing Care in Laparoscopic Cholecystectomy Patients: Comparison of ChatGPT and Student Practice

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    Aim: This study aims to compare student-generated nursing care plans with ChatGPT-generated care planning texts for patients undergoing laparoscopic cholecystectomy surgery. Background: Given the increasing significance of technology in nursing education, the integration of AI-driven tools into educational methodologies demonstrates potential for enhancing nursing students' preparation for clinical practice by providing access to more comprehensive and current information sources. Methods: This descriptive comparative study evaluated 14 nursing care plans developed by nursing students for laparoscopic cholecystectomy patients alongside care plans generated by ChatGPT for identical patient scenarios, using the DISCERN scale as the assessment instrument. Results: The quality of student-generated care plans was determined to be satisfactory, whereas the quality of ChatGPT-generated texts was assessed as moderate. Both student care plans and ChatGPT-generated texts demonstrated moderate reliability and information quality regarding nursing care. Students exhibited the highest accuracy rate in formulating correct nursing diagnoses (90.22 %), while ChatGPT-generated texts demonstrated superior performance in correctly establishing nursing goals (90.35 %) and developing appropriate nursing interventions (91.07 %). Conclusions: The findings indicate that while student-generated care plans demonstrated generally acceptable quality, ChatGPT's performance in this domain was moderate, particularly in formulating surgical nursing goals and interventions. Although clinical outcomes were not evaluated in this study, the results suggest that ChatGPT may serve as a valuable supplementary resource for surgical nursing education and care plan development. Further research is warranted to determine its impact on patient care quality and clinical effectiveness

    The Influence of Alevism on Modern Zaza Literature

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    As in every nation, there are differences in religious beliefs among the Zaza people. Approximately half of the Zaza people living in Turkey are Alevi and the other half are Sunni. The majority of Zazas living in Tunceli province and the districts of Imranlı, Zara, Tercan, Cayırlı, Uzumlu, Varto, Yedisu, Kigi, Yayladere, Hınıs, Karakocan, Siran, Sarız, Develi, Zara, Kangal, Ulas, Divrigi, Tekman, Göle, Selim, Cat are members of the Alevi denomination. When we look at the authors who write in Zazaki, we come across a similar picture. In other words, approximately half of the Zaza authors are Alevi and the other half are Sunni. This situation directly affects the content of literary works. When we look at the works of Alevi Zaza authors, we see that the Alevi belief is given a lot of space. Since the Alevism belief is not the dominant and widespread belief in the country, Alevi authors see the future of their belief as under threat. For this reason, they include many elements of their belief in the novels, stories and poems they write. So much so that any reader who has no knowledge of Alevism can gain comprehensive information about the Alevism belief by simply reading the works of Alevi Zaza authors. These works cover many topics, including the rituals of the Alevi belief, religious figures, historical events, and the social organization of the Alevi society. In the works, we come across subjects such as Karbala, the Twelve Imams fast, Ashura, Musahiplik (companionship), Pirlik (Elderly), Ikrar (confession), praying to the sun, düskünlük (to exclude someone from society), Gagan holiday, gulbank, and religious figures such as Hizir, Duzgun (Duzgin) Baba, Munzur (Mizur) Baba, Goskar (Koshkar) Baba, Pir Sultan Abdal, Heser Baba, Tujik (Sultan) Baba, Babamansurlu Seyid Nesimi and Celal Abbas. In this study, it was tried to reveal how these subjects and religious figures found a place for themselves in novels, stories and poetry books written in Zazaki. © 2025 Elsevier B.V., All rights reserved

    Synthesis, Spectroscopic Characterization, and Biological Evaluation of a Novel Acyclic Heterocyclic Compound: Anticancer, Antioxidant, Antifungal, and Molecular Docking Studies

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    Elhenawy, Ahmed/0000-0003-2893-0376;Background/Objectives: This study aimed to synthesize a novel, high-molecular-weight acyclic heterocyclic compound, compound 5, via a one-pot reaction between Trichloroisocyanuric acid (TCCA) and ethanolamine, and evaluate its anticancer, antioxidant, and antifungal activities. Methods: Its complex tetrameric structure, assembled through N-N linkages, was unequivocally confirmed by a full suite of spectroscopic techniques including IR, 1H & 13C NMR, 2D-NMR, and high-resolution mass spectrometry (LC/Q-TOF/MS). The MTT assay was used to assess the anticancer activity of compound 5 against four different human cancer cell lines. Results: The findings indicate that human colon (HT29) and ovarian (OVCAR3) cancer cells were sensitive to the treatment, whereas brain (glioblastoma) (T98G) cancer cells were resistant. The most pronounced cytotoxic effect was observed in pancreatic (MiaPaCa2) cancer cells. Notably, compound 5 exhibited potent antifungal properties, achieving 100% inhibition of the pathogenic water mould Saprolegnia parasitica zoospores at 100 mu M after 10 min. Molecular docking studies corroborated the biological data, revealing a high binding affinity for key cancer and fungal targets (Thymidylate Synthase and CYP51), providing a strong mechanistic basis for its observed activities. Conclusions: These findings establish compound 5 as a promising dual-action agent with significant potential as both a targeted anticancer lead and an eco-friendly antifungal for applications in aquaculture

    Role of Machine Learning Segmentation Method Based on CT Images in Preoperative Staging of Oral Cavity Cancer

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    ObjectiveThe article aims to demonstrate, using oral cavity SCC as an example, that machine learning can accurately predict the T and N staging of OSCC, using the conventional radiologist/ surgeon interpretation of the scan as the reference standard.Materials and methodsTwo datasets for tumor mass and nodal metastasis were used in this study. Each of the datasets consists of 179 Contrast-enhanced Computed Tomography images. A customized U-Net deep learning architecture was employed for the segmentation of tumor masses and nodal metastases. Comprehensive maps of the tumor mass and metastatic lymph nodes were generated. Following this mapping process, the dimensions of the identified lesions were measured and classified according to the Tumor and Lymph Node Metastasis classification system. The resulting classifications were then compared with those established by a radiologist to assess accuracy.ResultsThe performance metrics for tumor mass and metastasis segmentation were as follows: binary accuracy value of 98.81% and 99.58%, respectively. The accuracy values were 75.00% for tumor grade classification and 97.22% for nodal status classification.ConclusionWe emphasize that machine learning-based segmentation methods effectively predict tumor mapping and staging in oral cavity tumors, demonstrating correlation with surgeons/radiologists' assessments. As such, this model can be a diagnostic tool that supports clinicians in making informed therapeutic decisions. We foresee that, with the continuous evolution of technology, the segmentation model employed in our study will undergo significant advancements, ultimately facilitating three-dimensional tumor mapping in the near future

    Kürt Atasözlerinde Hayvan İsimleri ve Anlamları

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    Bir toplumu tanıtabilecek en temel eserler halk edebiyatı ürünü olan atasözleridir. Halkın binlerce yıllık denemeleri en çok iki üç yargılı bir tümceye dönüşerek içinden doğduğu toplumun kültürünü yansıtır. Kürt atasözleri de Kürt kültürünün ve dilinin aynasıdır. İnsanoğlunun tüm toplumları gibi Kürt halkı da kendi yaşamında bulunan her unsuru dil ürünü olan atasözlerine aktarmıştır. Doğada insan cinsi dışında insana en yakın varlıklar bitkiler ve hayvanlardır. Biz bu çalışmamızda içlerinde hayvan ismi barındıran Kürtçe atasözlerini zoolojik özelliklerine ve insan yaşamındaki konumlarına göre sınıflandıracağız. Sınıflandırmamızın ardından şu soruların cevaplarını arayacağız: Bu hayvanlar Kürt kültüründe nasıl tanımlanmıştır; nelere/kimlere nasıl benzetilmiştir veya neler/kimler onlara nasıl benzetilmiştir? bu hayvanlara hangi motifsel özellikler yüklenmiştir? Bu yanıtlara ulaşabilmek adına atasözleri derleme çalışması yapmak yerine basılı dergi ve kitaplardan ve internetten faydalandık. Çalışmamızı bu eserler üzerinden yürüttük. Bu eserlerde içeriğinde hayvan isimleri ihtiva eden binlere varan atasözüne rast geldik ancak aynı motif ve anlamları tekrarlamamak için bunlardan 820 tanesini seçtik. Çalışmamızda Kürt atasözlerinde geçen hayvan adlarının anlamlarını tespit edebilmek amacıyla atasözleri sözü edilen hayvanların zoolojik özelliklerine göre ve insan yaşamına olan uzaklık ve yakınlıklarına göre sınıflandırıldı. Atasözleri, her başlık altında kaynakçası, anlamı ve çıkarımlarıyla birlikte tablo içerisinde sunuldu. Hayvanların özellikleri ve değerlendirmelerimiz de her hayvan türü için ilgili başlık altında yorumlandı.The most basic works that can introduce a society are proverbs, which are products of folk literature. The thousands of years of trials and experiences of the people are condensed into sentences that usually consist of two or three judgments, reflecting the culture of the society from which they originated. Kurdish proverbs, in particular, serve as a mirror of Kurdish culture and language. Like all human societies, the Kurdish people have transferred every element of their life into proverbs, which are linguistic products. In nature, apart from humans, plants and animals are the closest beings to human beings. In this study, we will classify Kurdish proverbs containing animal names based on their zoological characteristics and their position in human life. After this classification, we will seek to answer the following questions: How are these animals defined in Kurdish culture? What or who are they compared to, and what or who are compared to them? What symbolic characteristics are attributed to these animals? In order to reach these answers, we conducted our study based on published magazines, books, and internet sources instead of compiling proverbs directly. We found thousands of proverbs containing animal names in these sources, but to avoid repetition of similar motifs and meanings, we selected 820 of them. In our study, the meanings of the animal names in Kurdish proverbs were identified and classified according to the zoological characteristics of the animals mentioned and their proximity or distance to human life. The proverbs were presented in a table under each category, with their sources, meanings, and interpretations. The characteristics of the animals and our evaluations were also commented under the relevant heading for each animal species

    Turizm Lisans Öğrencilerinin Uzaktan Eğitim Tutumlarının Teknoloji Kabul Modeli ile İncelenmesi

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    Teknolojinin eğitim sistemi ile yakın ilişkili olduğu yadsınamaz bir gerçektir. Dijital çağın gelişmelerine hızlıca adapte olabilen üniversite öğrencilerinin yakın zamanda hayatlarında daha fazla yer almaya başlayan uzaktan eğitim, gittikçe popülerliği artan bir fenomen haline gelmiştir. Bu doğrultuda araştırmada, üniversite öğrencilerinin uzaktan eğitim sistemine adapte olma noktasında teknoloji kabul düzeyinin etkisinin olduğu varsayılmaktadır. Bu varsayımdan yola çıkarak, bu araştırmada turizm lisans programlarında okuyan üniversite öğrencilerinin teknoloji kabul davranışları ile uzaktan eğitime yönelik tutumları arasındaki ilişkinin belirlenmesi amaçlanmaktadır. Araştırmanın verileri, Mardin Artuklu Üniversitesi Turizm Fakültesi’nde yer alan Gastronomi ve Mutfak Sanatları, Turizm Rehberliği ve Turizm İşletmeciliği lisans programlarında öğrenim gören 342 öğrenciden yüze yüze anket yoluyla elde edilmiştir. Verilerin analiziyle, öğrencilerin teknoloji kabul davranışları ile uzaktan eğitime yönelik tutumları arasındaki ilişkinin ne düzeyde olduğu, bu ilişkinin öğrencilerin bölümlerine, yaşlarına ve cinsiyetlerine göre farklılık gösterip göstermediği ortaya konulmuştur. Sonuçlar, öğrencilerin teknoloji kabul düzeyleri ile uzaktan eğitime bakış açıları arasında istatistiksel açıdan anlamlı bir ilişki olduğunu göstermiştir. Bununla birlikte, öğrencilerin öğrenim gördükleri lisans programları ile teknoloji kabul düzeyi ve uzaktan eğitim tutumu arasında anlamlı bir ilişki olmadığını ortaya çıkmıştır

    Bir On Yedinci Yüzyıl Osmanlı Eserinden Hareketle Maji/Büyü Sanatına Dair

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    Nesne, olay ve olgular toplumların kendi imgesel dünyalarına göre algılanmakta ve buna bağlı olarak tanımlanıp anlamlandırılmaktadır. Bazı tabu ve anlayışların oluşmasına neden olan bu algı ve anlamlandırmalar toplumsal birlikteliği güçlü kılmakta ve bireylerin toplum üyelerine veya toplumsal yaşama zarar verecek davranış ya da eylemlerden uzaklaşmasını sağlamaktadır. Bu durum ve anlayışa karşı gelen suçluları cezalandırmak için başvurulan yöntemlerden biri olarak majik güçten yararlanılmaktadır. Maji, büyü ya da buna dair nesneler bu türden bir gereklilik sonucu bir işlevi yerine getirmek için kullanılmaktadır. Nicel sonuç amaçlayan pratik bir yapıya sahip olan büyü ya da maji, insanın ihtiyaç, eğilim, gereksinim ve hedeflerinin belli ilkelere bağlı olarak belirli tekniklerle yapılması olarak kabul edilebilir. Çalışmada XVII. yüzyıl Osmanlı dönemine ait bir yazma eser olan Fezâ’il-i Beytü’l-Mukaddes’te kutsal kabul edilen Kudüs’ü korumak için düzenlenen majik güçlere sahip nesnelerin koruyuculuğu temelinden hareketle toplumsal yapıda büyünün etkisi, toplumların büyüye bakış açısı ve büyünün koruyuculuğu üzerine yaygın olan inanışlar ortaya konulmaya çalışılmaktadır. Çalışmamızda ilk olarak büyü, maji, tılsım terimleri ve bu terimlere bağlı fetişizm, anima, simya, kimya gibi terimler üzerinde durulmaktadır. Daha sonra insan-büyü/maji-nesne ilişkisine yer verilmektedir. Büyünün koruyuculuğu ve Fezâ’il-i Beytü’l-Mukaddes’te buna dair halk inanışları ile ilgili bilgi verildikten sonra elde edilen bulguların değerlendirildiği sonuç bölümü ile çalışma tamamlanmaktadır

    Alzheimer’s Classification with a MaxViT-Based Deep Learning Model Using Magnetic Resonance Imaging

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    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

    The Role of Thiol/Disulfide Homeostasis in Unexplained Primary Infertile Patients: A Prospective Cohort Study

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    Background:Our study aims to investigate whether there is a relationship by measuring the total oxidant/antioxidant load with the thiol/disulfide method in patients with unexplained infertility. Methods:A total of 82 participants were enrolled, consisting of 41 women with unexplained infertility and 41 fertile controls matched for age and body mass index (BMI). Hormonal profiles, including follicle-stimulating hormone (FSH), luteinizing hormone (LH), estradiol (E2), thyroid-stimulating hormone (TSH), and prolactin, were assessed using the chemiluminescence immunoassay method. Thiol/disulfide homeostasis was evaluated using a validated automated spectrophotometric method, which measured native thiol (NT), total thiol (TT), and disulfide levels. Detailed quality control measures ensured the reliability of the results. Results:In the study, no significant difference was found between the infertile and fertile groups' demographic (age) and clinical variables in terms of height, weight, BMI, FSH, LH, E2, TSH, prolactin, antral follicle count, TT, NT, and disulfide values (P > .05). The rates were found to be greater in the infertile group in disulfide/NT ratio and disulfide/TT ratio compared to the fertile group, even though there was no statistically significant difference between the groups' disulfide/NT ratio, disulfide/TT ratio, and NT/TT ratio values. The fertile group, however, had a higher NT/TT ratio rate. Conclusion:Although the unexplained infertility and fertile groups in the study did not differ in serum thiol and disulfide levels, the infertile group was found to have a relatively high disulfide/thiol ratio. More prospective studies on thiol/disulfide balance related to unexplained infertility may help to understand the relationship

    Ovarian Teratoma Torsion With Ca 19-9 Elevation: Case Report

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    Ovarian torsion is a rare gynecologic emergency and causes serious medical problems. The diagnosis of ovarian torsion is not always easy. Ovarian torsion is the most common complication with a confusing ultrasonographic diagnosis. Although the demonstration of blood flow by Doppler ultrasonography does not rule out the diagnosis of ovarian torsion, a serum marker with high reliability and sensitivity in the preoperative diagnosis of ovarian torsion has not yet been defined. A 19-year-old G0P0 patient was admitted to our clinic with pelvic pain lasting 1 week. Abdominopelvic ultrasound revealed a 9 cm diameter lobulated cystic lesion in the right adnexa. Abdominopelvic magnetic resonance imaging (MRI) showed a 90 × 88 mm cystic lesion consisting of heterogeneous solid structures. The left ovary and other intra-abdominal structures were normal. Tumor markers were as follows: CEA: 24.90 U/mL, AFP: 40 U/mL, CA 15-3: 23.4 U/mL, CA 19-9: 383 U/mL. The patient's MRI report was suspicious for malignancy, and the diagnosis of torsion could not be clarified. As the patient’s condition progressed, laparotomy was decided upon, and a frozen examination was requested. Cystectomy was performed after the findings were compatible with a dermoid cyst. CA 19-9 is a tumor marker that is increased, especially after ovarian teratoma torsion, and may be useful in diagnosing clinical teratoma torsion. However, larger studies are needed to confirm this hypothesis

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