Scopus İndeksli Açık & Kapalı Erişimli Yayınlar

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    A Case of Common Variable Immunodeficiency with CREBP Gene Mutation without Rubinstein Taybi Syndrome Features
    (2022) Musabak, Ugur; Ceylaner, Serdar; Erdogan, Tuba; Ayva, Ebru Sebnem; 0000-0003-1511-7634; 35833092; AAU-1810-2020
    Hypogammaglobulinemias, based on inborn errors of immunity, are primary immunodeficiencies (PIDs) that can also be diagnosed for the first time in adulthood. Common variable immunodeficiency (CVID) is a multifactorial disease often symptomatic due to antibody deficiency. In addition, some PIDs are classified into the category of immunodeficiencies with syndromic features due to their accompanying clinical findings unrelated to immunity. In this article, a patient with CVID who was diagnosed in adulthood and who was revealed to have a mutation specific to Rubinstein-Taybi syndrome and clinical features reminiscent of this syndrome only after molecular tests was presented.
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    A New Method for Surface-to-Air Video Detection and Tracking of Airborne Vehicles
    (2022) Pakfiliz, Ahmet Gungor; https://orcid.org/0000-0002-5901-228X
    Detection process of airborne targets may be thought simple because of the incompatible nature of aircraft, choppers, UAVs, and drones regarding clear sky background. When changes in the background are considered, brightness variation of the sky complicates the process. Changes in the shapes and types of clouds add another challenge to the process. Tracking process directly depends on the detection process and type of the data stream. The practical systems used for video detection and tracking of airborne targets are manual, and manual structures have some drawbacks compared to automatic structures. For video surveillance, guidance, regional security, and defense applications in dense environments, automatic detection and tracking process may be an obligation rather than preference. In this study, an automatic detection and tracking algorithm for video streams of airborne targets is proposed. A land-based moving camera captures the video data, and not only the flying objects but probably also the camera are in motion. Although the detection and tracking of moving objects via moving sensors is a relatively arduous task, this is the prevalent case in real-life scenarios. Video detection and tracking systems have one or more moving video sensors, while one or more flying air vehicles are in operation area. The proposed algorithm includes an image processing stage for detection and a tracking stage for initiation and continuation. An assessment study has been conducted for the actual video data and found that the proposed method yields successful results for detection, track formation, and continuation processes.
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    Protective Effects Of Alpha-Lipoic Acid On Bleomycin-Induced Skin Fibrosis Through The Repression Of NADPH Oxidase 4 And TGF-Beta 1/Smad3 Signaling Pathways
    (2022) Kocak, Ayse; Ural, Cemre; Harmanci, Duygu; Oktan, Mehmet Asi; Afagh, Aysan; Sarioglu, Sulen; Yilmaz, Osman; Birlik, Merih; Akdogan, Gul Guner; Cavdar, Zahide; https://orcid.org/0000-0002-9322-5844; 35187969; ABD-1329-2021
    The aim of this study was to determine the protective effects of alpha-lipoic acid (ALA), which is known as a powerful antioxidant, and the possible related molecular mechanisms that mediate its favorable action on skin fibrosis in the bleomycin (BLM)-induced scleroderma (SSc) model in mice. The experimental design was established with four groups of eight mice: Control, ALA (100 mg/kg), BLM (5 mu g/kg), and BLM + ALA group. BLM was administered via subcutaneous (sc) once a day while ALA was injected intraperitoneally (ip) twice a week for 21 days. Histopathological and biochemical analyses showed that ALA significantly reduced BLM-induced dermal thickness, inflammation score, and mRNA expression of tumor necrosis factor-alpha (TNF-alpha) in the skin. Besides, the mRNA expressions of the subunits of NADPH oxidase, which are Nox4 and p22phox, were found to be significantly induced in the BLM group. However, ALA significantly reduced their mRNA expression, which were in parallel to its decreasing effect on serum total oxidant status (TOS) level. Moreover, it was found that ALA downregulated the mRNA expressions of alpha-smooth muscle actin (alpha-SMA), collagen type I and fibronectin in the skin tissue of the BLM group. Additionally, it was shown that ALA reduced significantly the TGF-beta 1 and p-Smad3 protein expressions in the BLM + ALA group. On the other hand, ALA did not exhibit any significant effect on the p38 mitogen-activated kinase (MAPK) activation induced by BLM. All these findings point out that ALA may be a promising treatment for the attenuation of skin fibrosis in SSc patients.
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    National Multi-Center Observational Retrospective Study to Understand Treatment Patterns and Outcomes for Stage III Non-Small Cell Lung Cancer Patients in Turkey: Turkish Society for Radiation Oncology Study, STONE Trial
    (2022) Onal, Cem; Demiral, Ayse Nur; Atalar, Banu; Yalman, Deniz; Dagoglu, Nergiz; Hurmuz, Pervin; Erpolat, Petek; Akyurek, Serap; Gul, Sute Karabulut; Berber, Tanju; Guler, Ozan Cem; Umay, Cenk; Sert, Fatma; Karahacioglu, Eray; Birgi, Sumerya Duru; Yaprak, Gokhan; Saglam, Esra Kaytan
    This study investigated treatment patterns and outcomes in patients with inoperable stage III non-small cell lung cancer (NSCLC) treated with radiotherapy (RT) in Turkey. We included 492 patients with stage III NSCLC in this multi-center retrospective study. Pa-tient demographics, clinical characteristics, and clinical treatment patterns from the time of the initial diagnosis to disease progression were recorded. Additionally, the prognostic factors predicting overall survival (OS) and progression-free survival (PFS) were analyzed. For the initial treatment, 429 patients (89.2%) received chemotherapy and RT, whereas 53 patients (10.8%) were treated only with RT. The first disease progression occurred in 288 patients (58.4%) at 9.3 months (median) after the initial treatment, and 64.6% re-ceived treatment after first progression. The second disease progression occurred in 30 patients, and 20 patients (66.7%) received treatment. Median OS and PFS were 27.0 months and 13.4 months, respectively. Age (p< 0.001), stage (p= 0.04), poor performance score (PS) (p= 0.03) and RT doses (p= 0.002) were independent predictors for OS and PFS in our multivariate analysis. Additional significant predictors for OS in the multivariate analysis were gender (p= 0.004), treatment period (0.02), and irradiation technique (p= 0.02). Disease progression occurred in nearly 58% of the patients, and one-third of these patients remained untreated during the disease progression. These findings indicate a need for additional treatment options in patients with unresectable stage III NSCLC with high-risk features, namely older age, stage IIIB disease, poor PS, and lower RT doses.
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    Hyponatremia in Acute Bronchiolitis
    (2021) Gultekingil, Ayse; https://orcid.org/0000-0001-7955-5735; 33409953; AAR-9945-2020
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    Investigation of some machine learning algorithms in fish age classification
    (2021) Benzer, Semra; Garabaghi, Farid Hassanbaki; Benzer, Recep; Mehr, Homay Danaei; 0000-0002-5339-0554; A-5050-2014
    Marine and freshwater scientists use fish scales, vertebrae, otoliths and length-weights values to estimate fish age because reliable fish age estimation plays a very important role in fish stock management. The advances in technology and the widespread use of artificial intelligence have revealed the use of traditional observations and techniques in the fishing industry. The aim of this study was to evaluate the effectiveness of three disesteemed machine learning algorithms (NB, J48 DT, RF) in comparison with ANNs which has been widely used in such studies in the literature. In culmination, all three algorithms outperformed ANNs and can be considered as alternatives in case of coming across noisy and non-linear datasets. Moreover, among these three algorithms J48 DT and RF showed exceptional performance where the data for specific fish age groups weren't abundant.
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    Dabigatran for Stroke Prevention in Real Life in a Sample of Population from Turkey: D-SPIRIT Registry
    (2021) Altin, Cihan; 34881702
    Objective: The D-SPIRIT registry is designed to investigate the safety and effectiveness of dabigatran etexilate in patients with atrial fibrillation in routine clinical practice. Methods: D-SPIRIT is the first national, multicenter, prospective, observational, postmarketing registry that investigates the usage of dabigatran in real life. A total of 326 noveloral anticoagulant-eligible patients with atrial fibrillation who have been taking dabigatran etexilate therapy for stroke prevention at least 6 months from 9 different centers were enrolled into the registry. Patients were followed up for 2 years to evaluate the effectiveness and safety of the treatment. All adverse clinical events including bleeding, thromboembolic events, stroke, systemic embolism, transient ischemic attack, myocardial infarction, and all-cause death were recorded. Results: The mean age was 71.1 +/- 9.6 years, and 57.4% of the study participants were female. The mean CHA(2)DS(2)-VASc (congestive heart failure, hypertension, age >= 75 years, diabetes mellitus, stroke or transient ischemic attack [TIA], vascular disease, age 65-74 years, sex category) score was 3.4 +/- 1.6. The cumulative adverse clinical events rate was 6.30% per year. The rate for embolic events including TIA, ischemic stroke, and peripheral embolism was 1.26% per year. The rate for major bleeding was 2.20% per year, and the mortality rate was 0.94% per year. Conclusion: This registry obtained an important overview of the current safety and effectiveness of the dabigatran etexilate in Turkey. Our results indicate similar rates of thromboembolic and bleeding events with pivotal phase 3 trial and other real-life registries. However, rate of undertreatment usage of dabigatran etexilate in real life was found to be considerable.
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    An Alternative Low-Cost Solution for Tracking Laboratory Animals
    (2020) Kiziltan, Erhan; Aydin, Leyla; 0000-0001-6029-3835; AAD-6090-2021
    Objectives: Monitoring animal behavior under various conditions can provide important information on their neuropsychological status, including learning, memory, and cognitive activity. Several commercial tracking systems are available, but they may be too expensive for low-budget projects. This study developed an alternative solution for automated animal tracking in behavioral experiments. Methods: The proposed system was designed to analyze a set of images sampled from a recorded video file in chronological order. The instantaneous location of the animal in each image frame was defined automatically, using a feature-extraction algorithm. Distances traveled were calculated using the coordinates of the successive instantaneous locations. The algorithm was tested using two arenas: the Morris water maze and open field test. The calculated measures were compared with those obtained manually. The internal consistency of the dataset was checked using Cronbach's alpha. The accuracy of the results was evaluated using the paired samples t-test and Pearson correlation, with the level of statistical significance set at p<0.01. Results: A statistical comparison of the distances traveled, which were derived from the coordinates of successive locations, did not differ significantly between the manual and automatic methods (r=0.954 and p=0.792 for the Morris water maze; r=0.996 and p=0.024 for the open field test). Conclusions: These results suggest that the algorithm is reliable and valid for estimating coordinates and may serve as a high-resolution tool for animal behavior experiments. We intend to make this software freely available to interested readers and to open feedback channels for further development.