Metallurgical and Materials Engineering (E-Journal)
Not a member yet
915 research outputs found
Sort by
Effect of Fresh Frozen Plasma Transfusion On International Normalized Ratio
Get PDFImportance: Fresh frozen plasma (FFP) serves as a crucial intervention in managing bleeding, surgical, and elevated international normalized ratio (INR) scenarios within medical settings. This research delves into the relationship between FFP administration and the reduction of INR, with a specific focus on the influence of pre-INR values on this connection.
Objective: The primary aim of this study is to investigate the correlation between the administration of FFP and the subsequent reduction of INR levels, particularly emphasizing the impact of pre-INR values on this association.
Design: This study adopts a retrospective cohort design. Data from 271 patients at King Fahad Medical City were included and analyzed. The investigation is focused on discerning the connection between pre-INR values and the resultant change in INR levels following FFP administration. The data for this study were collected and analyzed between [January 2021–October 2021], with the analysis being conducted in [June 2023].
Setting: The study was conducted at King Fahad Medical City, providing insight into a specialized clinical setting catering to various medical conditions and scenarios requiring FFP interventions.
Participants: The study involved patients with various clinical disorders requiring FFP administration, with eligibility determined based on necessity and sociodemographic characteristics. Consecutive sampling ensured all eligible individuals were included.
Results: A total of 1000 units of FFP were transfused to 271 patients, with 46.5% receiving FFP for surgery, 40.9% for bleeding, and 12.5% for high INR. Median pre-transfusion INRs were 1.25 for surgical, 1.65 for bleeding, and 1.9 for high INR patients. Post-transfusion INRs showed significant decreases, especially in the high INR group. Pearson correlation showed strong positive relationships between pre-transfusion INR and INR improvement (r=0.78 for surgical, r=0.89 for bleeding, r=0.92 for high INR), indicating greater efficacy of FFP at higher pre-transfusion INR levels.
Conclusion: FFP administration effectively reduces INR levels, with the greatest improvement observed in patients with higher pre-transfusion INR values
Adaptive Honeypot Strategies: Redefining Security in Cloud Environments
Get PDFThe growth in popularity of cloud computing has also invited new forms of security issues that require new forms of defense mechanisms. The Honey Cloud framework is out to address such issues with honeypot technology in the cloud accompanied by decoy systems that attract, monitor, and analyze malicious activities. Honey Cloud provides fortification by defending the main critical infrastructure from an attacker and decreasing the probability of a data breach. It also boasts real-time detection of threats and intelligence regarding this particular adversary's tactics, techniques, and procedures. The framework can be scaled and can be dynamically deployed across different cloud architecture including hybrid and multi-cloud setups. The future enhancements will incorporate AI and machine learning to do predictive threat analysis and automated responses making it more resilient to high-end threats. This offers real-time analytics and interactive dashboards, which provide insight applicable to organizations, thus easing security operations. Besides, legal and ethical considerations will be addressed to provide responsible usage and adherence with global data protection regulations. Hence, Honey Cloud marks a departure in the paradigm of cloud security from traditional defensive mechanisms to proactive intelligence and adaptive frameworks. Such paradigm shift thus promises to motivate future research and development in the ever-evolving threats in the field of cybersecurity
Impact of Occupational Health Hazards Training Program on Nurses' Quality of Work Life
Get PDFBackground: Background: Having adequate knowledge on hospital workplace hazards and risks, being aware of preventives measures and best practices regarding occupational hazards can help hospital workers to perform better and also improve their Quality of Work Life (QWL). Aim of the study: to assess the effect of occupational health hazards training program on nurses' quality of work life (QWL). Subjects and Methods: Setting: The study was conducted in all inpatient departments of Belbeis Central Hospital, El - Sharkia Governorate, Egypt. Design: A quasi-experimental research design. Sample: All available staff nurses (n=130) in the inpatient departments. Tools: two tools were used in data collection: Health hazard knowledge questionnaire, and Quality Work Life scale. Results: Overall, 97.7% of the staff nurses reported exposure to at least one type of occupational hazards. The use of PPE increased from 23.1% preprogram intervention phase to 92.3% post program intervention. Conclusion: Staff nurses’ knowledge, and QWL significantly improved after the program intervention. Recommendations: applying the training program in similar settings, with continuing education for staff nurses emphasizing the areas of deficient knowledge and skills. A comprehensive program for PPE should be developed and applied, along with training and supervision
AI for Real-Time Traffic Management in Communication Networks
Get PDFReal-time traffic management has grown into a critical dilemma due to rising communication network requirements. The application of Artificial Intelligence technology through its promising solutions helps manage traffic flow while simultaneously lowering congestion and increasing the efficiency of networks. The paper evaluates artificial intelligence techniques with machine learning and deep learning and reinforcement learning as tools for predicting traffic and managing congestion while allocating resources. The paper examines published studies, analyzes AI model approaches, and assesses the performance of AI models to enhance communication network operational efficiency. Research has established that artificial intelligence constitutes a viable solution to build adaptable automated network management systems for traffic control
Enhancing Power Quality and Grid Control with Real-Time Monitoring Sensors
Get PDFMonitoring and controlling power quality is become crucial to ensure the power system runs steadily as smart grids have developed quickly. Issues related to conventional power quality monitoring techniques include insufficient real-time performance and limited monitoring accuracy. In order to increase real-time monitoring accuracy, this paper suggests smart grid reliability tracking and modification technique that employs photoelectric sensors combined optical systems signal treatment. In this article, the power grid's power quality is continuously monitored using photoelectric sensors, which then send information about the monitoring to an optical system. Key power quality metrics are extracted via signal processing of information collected via optical devices. Finally, the control and improvement of the quality of power can be achieved by making changes to the smart grid's important equipment. The tests show that using photoelectric sensors along with optical system processing to observe and change the power quality in a smart grid can make tracking more accurate and improve real-time performance. The power grid is much more stable and reliable now that it could be checked and managed at real time for changes in power quality
Numerical Performances of the SIR Dynamical Prototype with the Hospital Bed Impacts Using Artificial Neural Network
Get PDFThis study is conducted to check the behavior of SEIR model based on the Levenberg-Marquardt backpropagation (LMQB) along with the neural networks (NN) i.e., LMQB neural networks describes the mathematical evaluation of SEIR model with available number of bed in hospitals. The epidemic SEIR model works on four dimensions, where S is the number of susceptible people who are admitted in hospital. E is represented the number of exposed persons, I shows the infected persons and R indicates the recovered persons respectively. The numerical findings are evaluated through LMQB neural networks. These findings are measured for the four dimensions of SEIR model by taking the data samples, training of dataset, authentication, and testing the results. The results show the metrics are selected as 70% for dataset training, 18% for confirmation and 12% for testing. The theoretical analysis is presented to show the numerical modeling. The SEIR model outcome is described using LMQB neural networks to overcome the mean square error (MSE). The numerical results are described using the LMQB neural networks through the MSE, error histograms (EHs), state transitions (STs), regression and correlation for attaining the correctness, consistency, capability, and productivity
Machine Translation Technology in Language Pedagogy: A Linguistic and Engineering Perspective on Computational Analysis
Get PDFThis mixed-methods study explores the impact of Machine Translation (MT) technology on language pedagogy, aiming to investigate its benefits, challenges, and future directions, guided by three research questions focusing on performance expectancy, effort expectancy, and social influence. The problem statement underlying this study is the limited understanding of MT technology's impact on language pedagogy, despite its increasing popularity, and the context is the growing demand for language instruction and the need for effective language learning tools. Relevant research has shown MT technology's potential to improve language learning outcomes, enhance motivation, and support personalized learning (Chapelle, 2003; García, 2015). The study selected a population of language instructors and learners from various educational institutions, emphasizing MT technology's importance in facilitating communication and language learning. Employing a quantitative survey and qualitative semi-structured interviews, the study utilized the Unified Theory of Acceptance and Use of Technology (UTAUT) framework, which provides a comprehensive understanding of the factors influencing MT technology adoption. The scope of this study is limited to exploring MT technology's impact on language pedagogy, focusing on performance expectancy, effort expectancy, social influence on pedagogical implications. The significance of this study lies in its potential to contribute to the understanding of MT technology's impact on language pedagogy, informing the development of effective language learning tools and instructional strategies. Data analysis procedures included descriptive statistics and frequency analysis for quantitative data by using SPSS software, and thematic analysis using NVivo for qualitative data, with results revealing several themes, providing insights into MT technology's impact on language pedagogy, highlighting its benefits, challenges, and future directions
Love In The Works And Thoughts Of Roozbahan
Get PDFThis research examines the concept of love in the thought of Roozbahan Baghli Shirazi, one of the greatest Iranian mystics. In Roozbahan’s thought, love is known not only as a human emotion, but also as a divine and transformative force that can lead humans towards perfection and truth. This research analyzes the different dimensions of love, including human love, chaste love, and divine love, and examines the stages of human spiritual journey in this regard. The findings show that human love acts as a starting point in the spiritual journey and can act as a driving force in the search for truth and perfection. Chaste love, the next stage, frees humans
from material bondage and leads them towards purity and chastity. Finally, divine love is known as the ultimate perfection that leads man to union with God and the realization of inner monotheism. This research also examines the impact of love on the individual and social lives of humans and its role in creating solidarity and empathy in society. The results of this research show that love, as a divine force, can help in the spiritual development of humans and lead to the creation of an atmosphere of love and friendship in society. Finally, love in Roozbahan's thought is introduced as a guide and source of inspiration in the spiritual journey and conduct of humans
The Role of SiO2 Gas in the Operation of Anti-Corrosion Coating Produced by PVD
Get PDFThis study examined theSiO2 gas present in the coatings used in corrosion industry.These layers have been created by physical vapor deposition (PVD), with an appropriate performance. Sublimation of SiO2is used to protect PVD aluminum flakes from water corrosionand to generate highly porous SiO2 flakes with holes in the nanometer range. SiOx/Al/SiOx sandwiches were made as well as Ag loaded porous SiO2 as antimicrobial filler
Synthesis of Y- Ni alloy by calciothermic reduction diffusion process
Get PDFIn this study, magnetic material of the Yttrium based alloy such as nickel intermetallic compound is prepared by calciothermic reduction process (CRD), at different temperatures, for 7 hours, under Argon atmosphere. Kinetic analyses have been used to calculate the conversion rate and the rate constant at different temperatures. Thermodynamic calculations have been performed to estimate the Gibbs free energy at different temperatures. Scanning Electron Microscopy (SEM), X-ray diffraction and EDX analysis have been performed to characterize the samples produced at 1273 K. Magnetic properties have been estimated using Vibrating Sample Magnetometer