3586 research outputs found
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Developing Secure MFA through QR code, SHA-256 OTP & Device Verification
No full text2025 International Conference on Innovation in Artificial Intelligence and Internet of Things, AIIT 2025 -- -- Jeddah -- 210673This paper addresses the requirement for a user-friendly and secure way to authenticate web-based applications. Traditional username and password systems have been shown to be vulnerable to a number of security risks, such as phishing attempts and password guessing. It suggests integrating QR code scanning and one-time password (OTP) generation to address these difficulties. The problem statement emphasizes the shortcomings of conventional authentication techniques and the need to put into practice a more practical solution. The suggested process entails using PHP and Android Studio to create a web-based system and a mobile application, respectively. The results show that the integrated authentication system considerably improves user experience and security. OTP generation gives an added level of security while QR code scanning offers secure authentication. The robustness and efficiency of the system are evaluated by thorough unit testing, security testing, and performance evaluation. Its importance arises from its potential to address security issues and enhance the usability of authentication systems. The solution provides improved defense against typical security risks by combining QR code scanning and OTP creation. In conclusion, the system helps the user to login their account securely as it helps to prevent user from hacker's attack that might steal their credentials as it provides a complex password technique. © 2025 Elsevier B.V., All rights reserved.Research Management Centre, International Islamic University Malaysia, RMC; Universiti Teknologi MARA, UiTM, (FRGS/1/2021/ICT07/UITM/02/3); Universiti Teknologi MARA, UiT
Adropin exerts neuroprotection in an experimental rat model of Parkinson's disease
No full textObjective(s): This study was planned to elucidate the mechanism of the protective effect of adropin in an experimental rat model of Parkinson's Disease (PD). Materials and Methods: Three-month-old male Wistar rats were randomly divided into four groups: i) Control, ii) Sham, iii) PD, and iv) PD+Adropin. The performance tests were performed seven days after the 6-Hydroxydopamine hydrochloride (6-OHDA) injection into the striatum. The immunoreactivities for tyrosine hydroxylase (TH), G protein-coupled receptor 19 (GPR19), and vascular endothelial growth factor receptor 2 (VEGFR2) were detected by immunohistochemistry (IHC) in the substantia nigra (SN). Dopamine levels were measured by mass spectrometry. Glycogen synthase kinase 3(3 (GSK-3(3) and p-GSK-3(3 (Ser9) protein levels were evaluated by western blot analysis. Results: Our study demonstrated that motor performances were significantly improved by adropin treatment. Central adropin injection prevented the loss of nigral dopaminergic neurons and induced VEGFR2 expression but not GPR19 compared to the PD group. The ratio of p-GSK3(3/GSK3(3 did not differ between groups. However, the level of dopamine in SN was increased with adropin injection in the PD+Adropin group. Conclusion: Our findings reveal that adropin administration has a protective effect on nigral dopaminergic neurons and acts through the VEGFR2 signaling pathway.Akdeniz University Scientific Research Projects Coordination Unit in Antalya, Turkey [TSA-2018-4116]The current study is funded by the Akdeniz University Scientific Research Projects Coordination Unit in Antalya, Turkey (Project number: TSA-2018-4116)
Elbow flexion training with blood flow restriction improves strength, proprioception, and performance in healthy individuals: a randomized controlled trial
No full textBackground Evidence on the effects of exercise training with blood flow restriction (BFR) on upper extremity proprioception and performance is limited.The purpose of this study was to investigate the effects of 6 weeks of low-load elbow flexion exercise training with BFR on upper extremity strength, joint position sense (JPS), and functional performance. Methods Sixty healthy individuals were randomized into the experimental group (n = 30) which received low-load training with BFR or the control group (n = 30) which received no training. Elbow muscle strength, shoulder and elbow JPS, and upper extremity functional motor performance [Closed Kinetic Chain Upper Extremity Stability Test (CKCUEST), Functional Throwing Performance Index (FTPI), Single Arm Shot Put Test (SASPT), and Modified Pull-Up Test (MPUT)] were assessed. For normally distributed data, Two-way ANOVA [2 x 2, group (between-participant) X time (within-participant), repeated measures] was used to determine the intervention effects on dependent variables. F value was used based on sphericity assumed. We considered the time-group interaction term in analyses. For non-normally distributed data, we used the Wilcoxon Signed-rankTest to examine the changes in individual groups for the relevant results and the Mann-Whitney U Test to compare changes between two-time intervals between the groups. Results Time by Group showed significant effects for the results of flexor strength, CKCUEST, FTPI, and MPUT in favor of the experimental group (all p < 0.001). The extensor strength, JPS, and SASPT results also improved in the experimental group compared to the control group (p < 0.05). The only change in the control group was a decrease in the FTPI percentile (p = 0.017). Conclusions This study adds new information about the effects of BFR on proprioception and performance. Six-week low-load elbow flexion training with BFR improves elbow muscle strength, shoulder and elbow proprioception, and upper extremity functional motor performance.Department of Scientific Research Projects, Dokuz Eyll University, Izmir, TurkeyThe authors would like to thank all the volunteers who participated in this study
The Psychiatric Association of Türkiye Depression Treatment Guidelines-I: Introduction, Terminology, Core Concepts, Assessment Methods
No full textMajor depressive disorder (MDD), with its heterogeneous nature and variable course, poses significant challenges for clinicians in treatment planning and clinical decision-making. These challenges are further compounded by the rapid emergence of new treatment options and the uncertainty regarding their place within clinical algorithms. In this context, structured treatment guidelines that offer sequential, evidence-based recommendations based on comparative evaluation of available interventions have become essential reference tools for clinicians. Although various international guidelines offer comprehensive recommendations, the absence of a locally relevant and up-to-date guideline tailored to national clinical needs remains a critical gap. This guideline was developed to address that gap, aiming to provide a scientifically grounded and clinically applicable resource for the treatment of depression in T & uuml;rkiye. This guideline reviews recent developments in MDD treatment and presents evidence-based, sequential recommendations applicable to clinical practice in T & uuml;rkiye. It also systematically covers assessment tools, clinical subtypes, outcome measures and decision-making processes that may guide treatment planning. This article introduces the methodological framework, development process and the core concepts and definitions related to the guideline
Evaluation of the Effects of HDAC Activity in Hydroxychloroquine Applied Human Primary Chondrocyte and Nucleus Pulposus Cultures
No full textAIM: To evaluate the in vitro effects of hydroxychloroquine (HCQ) on histone deacetylase (HDAC) enzyme activity and interleukin (IL)-6, IL-10, and tumor necrosis factor-alpha (TNF-?) expressions. MATERIAL and METHODS: Primary cell cultures were prepared. Samples that did not receive any medication constituted the control group, while culture samples treated with HCQ served as the study group. The surface morphology of cells and the extracellular matrix (ECM) were evaluated by Giemsa staining and inverted light microscopy. Cell viability, proliferation, and cytotoxicity were determined by 3-(4,5-dimethylthiazol2-yl)-2,5-diphenyltetrazolium-bromide (MTT) analysis. The cultures were simultaneously stained with acridine orange (AO)/propidium iodide (PI) and viewed under fluorescence microscopy. HDAC enzyme activity and IL-6, IL-10, and TNF-? expression were evaluated using commercial enzyme-linked immunosorbent assay kits. The obtained data were analyzed using statistical methods. The alpha significance level was accepted as p<0.05. RESULTS: HCQ applied to cell cultures at the tested doses and durations showed cytotoxic effects on cell viability, proliferation, and cell or ECM morphology. It increased HDAC activity in chondrocytes and caused a proinflammatory response, indicated by an increase in TNF-? in the cells (p<0.05). CONCLUSION: The results of this study emphasized that the cytotoxic effect of HCQ increased HDAC activity; therefore, this proinflammatory response should be taken into consideration in the clinical use of HCQ
Cardiovascular Diseases and Artificial Intelligence Applications
No full textMedical advancements have been continuous from ancient times to the present. While early treatment methods were based on observing nature, modern scientific methods have since emerged. In the last forty years, AI technologies have increasingly been utilized in medicine. Major progress in digital health technologies has occurred in the 21st century. A few centuries ago, the average life expectancy was around fifty years, but today it exceeds eighty. Technological advancements, especially AI applications in medicine, are behind this development. Cardiovascular diseases (CVD) remain the leading cause of death globally, accounting for about 40% of fatalities (Benjamin et al., 2019). © 2025 Elsevier B.V., All rights reserved
Hemophilia tweets in Turkey: A rare disease and scarce policies
No full text[Abstract Not Available]Ankara Bilim University under the Scientific Research Project (BAP) Grant [NMC-2023-08]The research was supported by Ankara Bilim University under the Scientific Research Project (BAP) Grant [number NMC-2023-08]
Decoding Time of Death: Histopathological Dynamics of Intervertebral Discs as a Novel Marker for Postmortem Interval Estimation
No full textObjectives: Determination of the postmortem interval (PMI) remains a critical challenge in forensic science. Intervertebral discs, due to their structural resilience, hold promise as a reliable tissue for PMI estimation; however, studies focusing on their forensic applicability remain limited. This study aimed to evaluate progressive histopathological changes in intervertebral discs at specific postmortem intervals and assess their forensic applicability. Materials and Methods: A total of 48 rats were divided into six groups: control (0 h), 7-day, 15-day, 30-day, 60-day, and 90-day postmortem intervals. Intervertebral disc samples were stained with hematoxylin-eosin and trichrome, and histopathological parameters such as homogenization, eosinophilia, dissociation, nuclear alterations (pyknosis and karyolysis), and collagen fragmentation were analyzed. Results: Statistically significant changes were observed across postmortem intervals (p < 0.001). Homogenization progressed from mild changes at 7 days to prominent levels by 90 days. Eosinophilia and dissociation between the epithelium and connective tissue also increased significantly over time (p < 0.001). Collagen fragmentation, initially minimal, became severe at the 90-day interval. The observed changes demonstrated a clear, time-dependent progression strongly correlating with the PMI. Conclusions: Our findings suggest that histopathological changes in intervertebral discs follow a consistent and time-dependent pattern, making them a potential forensic marker for PMI estimation. This has important implications for forensic science, as it offers an alternative tissue type that is less susceptible to early decomposition compared to soft tissues. These results suggest that the intervertebral disc is a promising tissue for PMI estimation, offering a complementary approach to existing forensic methods
PID controller desggn and optimisation for cardiac pacemaker
No full textBu çalışmada, kardiyak pacemaker (kalp pili) sistemlerinde PID (Proportional-Integral-Derivative) kontrol parametrelerinin optimizasyonu amaçlanmıştır. Kalp pili sistemlerinin güvenilirliğini ve etkinliğini artırmak için PID denetleyici parametrelerinin optimize edilmesi kritik bir rol oynamaktadır. Optimizasyon sürecinde, çeşitli meta-sezgisel algoritmalar kullanılarak PID parametreleri üzerinde iyileştirmeler yapılmıştır. Bu algoritmalar arasında Parçacık Sürüsü Optimizasyonu (PSO), Genetik Algoritma (GA), Gri Kurt Algoritması (GWO), Sarhoş Adam Yürüyüşü (DWO), Karınca Kolonisi Optimizasyonu (ACO) ve Ziegler-Nichols yöntemi yer almaktadır. Ayrıca, pekiştirmeli öğrenme (Reinforcement Learning) yaklaşımı da kullanılarak sistemin öğrenme kapasitesi artırılmış ve PID parametrelerinin optimize edilmesinde yenilikçi bir yol izlenmiştir. Elde edilen sonuçlar, önerilen optimizasyon tekniklerinin geleneksel yöntemlerle kıyaslandığında sistemin performansını belirgin şekilde artırdığını ve daha hassas kalp pili kontrolü sağladığını göstermektedir. Bu çalışma, kardiyak pacemaker sistemlerinde PID kontrolünün optimizasyonu için etkili bir yaklaşım sunmakta olup, klinik uygulamalarda daha güvenilir ve verimli sonuçlar elde edilmesine katkıda bulunmayı hedeflemektedir.This study aims to optimize the PID (Proportional-Integral-Derivative) control parameters in cardiac pacemaker systems. Optimizing the PID controller parameters plays a critical role in enhancing the reliability and effectiveness of pacemaker systems. Various metaheuristic algorithms are employed to improve the PID parameters during the optimization process. These algorithms include Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Grey Wolf Optimization (GWO), Drunkard's Walk Algorithm (DWO), Ant Colony Optimization (ACO), and the Ziegler-Nichols method. Additionally, Reinforcement Learning is applied to enhance the system's learning capability and introduce an innovative approach to optimizing PID parameters. The results show that the proposed optimization techniques significantly improve system performance compared to traditional methods, leading to more precise pacemaker control. This study provides an effective approach to optimizing PID control in cardiac pacemaker systems and aims to contribute to more reliable and efficient outcomes in clinical applications
Boundary value problems for bi-polyanalytic functions on the upper half plane
No full textIn this study, explicit solutions for certain boundary value problems in the upper half-plane are obtained. Various types of boundary conditions are examined in detail, and their effects on the solutions are analyzed. The solution methodology relies on higher-order Cauchy-Pompeiu representations, which are used to address boundary value problems for bi-polyanalytic functions and inhomogeneous Cauchy-Riemann equations. In this context, the solutions obtained extend classical boundary value problems, including the Schwarz, Dirichlet and Neumann problems, providing a more general framework for analyzing these equations. © 2025 Elsevier B.V., All rights reserved