Type 1 diabetes (T1D) is characterized by the autoimmune destruction of pancreatic β-cells. This study investigates the association between a single nucleotide polymorphism (SNP) in the Olfactory Receptor family 14, subfamily J, member 1 (OR14) gene, which is adjacent to the human leukocyte antigen (HLA)-F region, and T1D. A case-control study was conducted on a cohort of 983 cases and 576 controls of European Caucasoid origin. Genotyping was performed using Taqman SNP assays. The findings revealed that the OR14-CC genotype was significantly more common in T1D cases compared to controls (p=0.001), as was the OR14-AC genotype, albeit to a lesser extent (p=0.002). No significant gender or age-specific associations were observed. These results corroborate previous familial studies linking the OR14 gene to T1D, suggesting that OR14-CC and OR14-CA genotypes may serve as predictive markers for T1D. The study highlights the potential of the OR14 gene, located in the HLA region, to enhance genetic prediction of T1D, advocating further research in this area for improved prediction and therapeutic approaches.
Six Sigma (SS) is a leading methodology in quality and business process improvements. The Accounting Information System (AIS) is crucial for providing management with the necessary data to make informed decisions, which in turn supports organizational growth and competitive advantage. This paper aims to enhance AIS performance by integrating SS methodology to provide accurate information for decision-making, improve internal control systems, enhance the quality of financial reports, and refine performance metrics. By proposing a framework that links SS implementation to AIS development, this study addresses a gap in current research. The findings suggest that while SS can significantly benefit AIS, empirical studies are necessary to validate the proposed framework. This paper contributes to a nascent field, calling for more academic and business focus on SS application in AIS development.
The aim of this study is to evaluate the impact of Organizational Citizenship Behaviors (OCB) on teachers employed at private schools. The research investigates whether OCB contributes positively to job performance, satisfaction, and organizational commitment while reducing resignation intentions, workload stress, and work-family conflicts. A screening model was employed, utilizing an adapted scale with a sample of 395 teachers in Istanbul. Data were analyzed using SPSS 15.0 and AMOS 22.0 software. Confirmatory Factor Analysis (CFA), along with Cronbach's Alpha, item-total correlation, and split-half test correlation, were applied to assess validity and reliability. Path Analysis further explored the primary problem statement: the influence of OCB on employees. Findings indicate a positive and significant correlation between OCB and positive outcomes, while a negative and significant correlation exists between OCB and negative outcomes.
Swimming is one of the sports that has developed fundamental changes in all of its stages by using the latest scientific and technical developments. Today, computational fluid dynamics is a powerful tool for analyzing sports in which velocity plays a major role. In this paper, we have examined the relationship between swimmer's velocity and drag coefficient. For this purpose, a swimmer with different velocities has been modeled in FLUENT software (V=1 m/s, V=1.5 m/s, V=2 m/s) and then drag force and drag coefficient have been calculated in these three cases. The results of the model solution have been presented as pressure changes, velocity, and coefficient tables and drag force.
For learning English, reading has often been at the center of debate among teachers and scholars. Theories about reading and numerous teaching techniques have created an awareness of the influence that reading has on listening, speaking, writing, and even translating. This study aimed to find the effect of fast reading on developing reading comprehension and fluency among high school English students. The sample of the study consists of 60 students assigned into two groups who were chosen randomly from high schools. The study includes teaching fast reading to 30 students (experimental group) and keeping 30 other students learning traditionally (control group). The results revealed significant differences in increasing fluency and comprehension among these students. In light of the results, it is recommended that teachers should train students extensively on the use of fast reading strategies.
Objective: RNA interference (RNAi) is a widely used mechanism to knock down target gene expression. Successful application of RNAi requires efficient delivery of siRNA into cells. This study demonstrates an efficient and specific knockdown of stim1, a protein essential for store-operated calcium (SOC) influx and cell proliferation, in vascular smooth muscle cells (VSMCs) and rat carotid artery, highlighting a promising application of adenovirus systems in vascular physiological studies. Method: Two target sequences for stim1 were chemically synthesized, and recombinant adenoviruses for RNAi-mediated stim1 knockdown were produced. Rat aortic VSMCs were primarily cultured and transfected with adenoviral vectors. Angioplasty of the rat left carotid artery was performed using a balloon embolectomy catheter followed by transfection with adenoviral vectors. Stim1 protein levels were measured by western blot. Main results: An adenovirus vector for stim1 knockdown was successfully constructed. At 1, 3, and 5 days after infection with Ad-si/stim1 at an MOI of 10 pfu/cell, stim1 protein levels significantly decreased compared to the Ad-empty group. Infection with Ad-si/stim1 virus (3 days post-infection at 10 pfu/cell MOI) resulted in a robust decrease in SOC. Ad-mediated siRNA effectively infected the rat carotid artery and significantly inhibited stim1 expression. Conclusion: This study establishes a model system for in vivo and in vitro studies of stim1 function, demonstrating that siRNA expression and specific gene knockdown can be achieved using adenoviral vectors.
Denial of Service (DoS) and Distributed Denial of Service (DDoS) attacks pose significant threats to network security, particularly in campus environments. This paper evaluates the performance and detection accuracy of Snort, an open-source intrusion detection system, in mitigating TCP/SYN Flooding DDoS attacks. We propose a novel approach to enhance Snort's capabilities by integrating new detection rules and assessing its impact on network resources, such as bandwidth, CPU load, and memory usage. Through comprehensive analysis of campus network vulnerabilities, we provide a robust security framework that addresses both existing and emerging threats. Our findings demonstrate the effectiveness of Snort in maintaining network integrity and highlight the potential for further enhancements in intrusion detection systems.