8 research outputs found
Beta 2 glycoprotein I Valine247Leucine polymorphism in patients with antiphospholipid syndrome
No full textAim: Beta 2 Glycoprotein I (β2-GP I) takes part in the pathogenesis of antiphospholipid syndrome (APS). Valine247Leucine (Val247Leu) gene polymorphism of β2-GP I might affect the binding/production of anti-β2-GP I antibodies. Multiple studies are showing different frequencies of this polymorphism in various ethnic backgrounds; we aimed to determine the frequency and clinical importance of Val247Leu gene polymorphism of β2-GP I in patients with APS and healthy.
Methods: Eighty-three patients with APS [68 primary APS, 15 APS with systemic lupus erythematosus (SLE)] and 63 healthy individuals were included. Β2-GP I Val247Leu polymorphism was determined by quantitative real time polymerase chain reaction and melting curve analysis. The presence of anti-β2-GP I antibodies was detected by ELISA in the patient group.
Results: Allele and genotype frequencies were similar between patients and healthy controls (p=0,307). V allele and VV genotype frequencies were significantly higher in primary APS patients with thrombocytopenia (p=0.040). There was no significant difference between β2-GP I Val247Leu gene polymorphism and the anti-β2-GP IgM and IgG antibody levels in the patient group (p=0.631 and p=0.077, respectively)
Conclusion: This is the first study investigating the β2-GP I Val247Leu gene polymorphism in the Turkish population. The frequencies of Val247Leu gene polymorphism of β2-GP I were not different between patients with APS and healthy individuals in line with the other studies in Caucasian populations. Significantly high levels of V allele and VV genotype frequencies in primary APS patients could offer further insight to into the pathogenesis of thrombocytopenia in APS
TNF-Related Apoptosis-Inducing Ligand Receptor 1 in Patients With Ankylosing Spondylitis
No full textGynecological symptoms in primary and secondary Sjögren's syndrome and the effect of the disease on sexuality
No full textBackground Sjogren's syndrome (SS) is an autoimmune systemic disease affecting many organs and systems, such as genital system.Aim This study aimed to present the gynecological symptoms of patients who were followed up in an outpatient clinic because of primary Sjogren's syndrome (pSS) and secondary Sjogren's syndrome (sSS) and to show how the disease affected sexuality.Methods This study is a cross-sectional study conducted between 2019 and 2020. The study sample consisted of 60 pSS patients, 42 sSS patients, and 52 healthy control subjects.Outcomes All the participants were questioned about sexuality, and completed the 36-item Short Form Survey, Hospital Anxiety and Depression Scale, Health Assessment Questionnaire, and Modified Hill questionnaire.Results The patients had a mean age of 55.6 +/- 11.85 years in pSS, 59.39 +/- 11.18 years in sSS, and 56.1 +/- 10.46 years in healthy control subjects. Vaginal and vulvar dryness and dyspareunia were present at a significantly higher rate in SS, especially in pSS, compared with the control subjects. The Health Assessment Questionnaire score was significantly lower in the pSS group than in the sSS group. Arthralgia, myalgia, and fatigue were prominent in all SS patients.Clinical Implications Gynecological symptoms, sexual ability, and the effects of the disease on sexuality should be questioned in all SS patients.Strengths and Limitations It is very important that we evaluate the gynecological symptoms of both pSS and sSS patients and the effect of the disease on these symptoms. The small number of patients and healthy control subjects is a limitation.Conclusion The gynecological and musculoskeletal symptoms negatively affected sexuality in patients with pSS and sSS, and the negative effect of the disease on sexuality was more pronounced in the pSS group
Are there any differences among psoriasis, psoriatic arthritis and rheumatoid arthritis in terms of metabolic syndrome and cardiovascular risk factors?
No full textSECURITY CHALLENGES IN SDN IMPLEMENTATION
No full textMaster of Science Thesis in Telecommunications, Department of Computer Science, SUNY College of Technology at Utica/Rome. Approved and recommended for acceptance as a project in partial fulfillment of the requirements for the degree of Master of Science in Computer Science. Submitted by author to digital archive, Sept. 2018.This study analyzes how security challenges caused by data and control layer separation in the SDN, such as Denial of Service attacks and unauthorized access attacks, limit SDN deployment. This study also offers network engineers’ views on preventing those security issues and whether implementing SDN is a good idea in the first place. This study was
conducted in order to answer three questions:
1. How does data and control layer separation in SDN cause DoS and unauthorized access attacks?
2. What are the best practices and measures to minimize such security threats from the engineer’s point of view?
3. Do security threats at the lower layer affect the decision to implement SDN?
These questions were answered by reviewing research papers and interviewing engineers from the telecommunication field. DoS and unauthorized access attacks are due to vulnerabilities in OpenFlow, SDN switches and SDN controllers. Table 6 presents solutions for preventing DoS and unauthorized access attacks. Most of the network engineers said SDN should be implemented based on cost, limited risk, customers’ positive views, and company projects, despite the current security
challenges.SUNY Polytechnic Institut
SECURITY CHALLENGES IN SDN IMPLEMENTATION
No full textMaster of Science Thesis in Telecommunications, Department of Computer Science, SUNY College of Technology at Utica/Rome. Approved and recommended for acceptance as a project in partial fulfillment of the requirements for the degree of Master of Science in Computer Science. Submitted by author to digital archive, Sept. 2018.This study analyzes how security challenges caused by data and control layer separation in the SDN, such as Denial of Service attacks and unauthorized access attacks, limit SDN deployment. This study also offers network engineers’ views on preventing those security issues and whether implementing SDN is a good idea in the first place. This study was
conducted in order to answer three questions:
1. How does data and control layer separation in SDN cause DoS and unauthorized access attacks?
2. What are the best practices and measures to minimize such security threats from the engineer’s point of view?
3. Do security threats at the lower layer affect the decision to implement SDN?
These questions were answered by reviewing research papers and interviewing engineers from the telecommunication field. DoS and unauthorized access attacks are due to vulnerabilities in OpenFlow, SDN switches and SDN controllers. Table 6 presents solutions for preventing DoS and unauthorized access attacks. Most of the network engineers said SDN should be implemented based on cost, limited risk, customers’ positive views, and company projects, despite the current security
challenges
UAVs-FFDB: A high-resolution dataset for advancing forest fire detection and monitoring using unmanned aerial vehicles (UAVs)
No full textForest ecosystems face increasing wildfire threats, demanding prompt and precise detection methods to ensure efficient fire control. However, real-time forest fire data accessibility and timeliness require improvement. Our study addresses the challenge through the introduction of the Unmanned Aerial Vehicles (UAVs) based forest fire database (UAVs-FFDB), characterized by a dual composition. Firstly, it encompasses a collection of 1653 high-resolution RGB raw images meticulously captured utilizing a standard S500 quadcopter frame in conjunction with a RaspiCamV2 camera. Secondly, the database incorporates augmented data, culminating in a total of 15560 images, thereby enhancing the diversity and comprehensiveness of the dataset. These images were captured within a forested area adjacent to Adana Alparslan Türkeş Science and Technology University in Adana, Turkey. Each raw image in the dataset spans dimensions from 353 × 314 to 640 × 480, while augmented data ranges from 398 × 358 to 640 × 480, resulting in a total dataset size of 692 MB for the raw data subset. In contrast, the augmented data subset accounts for a considerably larger size, totaling 6.76 GB. The raw images are obtained during a UAV surveillance mission, with the camera precisely angled a -180-degree to be horizontal to the ground. The images are taken from altitudes alternating between 5 - 15 meters to diversify the field of vision and to build a more inclusive database. During the surveillance operation, the UAV speed is 2 m/s on average. Following this, the dataset underwent meticulous annotation using the advanced annotation platform, Makesense.ai, enabling accurate demarcation of fire boundaries. This resource equips researchers with the necessary data infrastructure to develop innovative methodologies for early fire detection and continuous monitoring, enhancing efforts to protect ecosystems and human lives while promoting sustainable forest management practices. Additionally, the UAVs-FFDB dataset serves as a foundational cornerstone for the advancement and refinement of state-of-the-art AI-based methodologies, aiming to automate fire classification, recognition, detection, and segmentation tasks with unparalleled precision and efficacy. © 2024 The Author(s
