Search Results (3)

This study presents a comparative analysis of various optimization algorithms—Differential Evolution (DE), Particle Swarm Optimization (PSO), Arithmetic Optimization Algorithm (AOA), and Hippopotamus Optimization Algorithm (HOA)—for parameter identification in photovoltaic (PV) models. By utilizing RTC France solar cell data, we demonstrate that accurate parameter estimation is crucial for enhancing the efficiency of PV systems, ultimately supporting sustainable energy solutions. Our results indicate that DE achieves the lowest root mean square error (RMSE) of 0.0001 for the double-diode model (DDM), outperforming other methods in terms of accuracy and convergence speed. Both the HOA and PSO also show competitive RMSE values, underscoring their effectiveness in optimizing parameters for PV models. This research not only contributes to improved PV model precision but also aids in the broader effort to advance renewable energy technologies, thereby fostering a more sustainable future. Full article

Background: COVID-19, caused by the novel coronavirus SARS-CoV-2, was declared by WHO in early 2020 as a worldwide pandemic. Several known risk markers are associated with COVID-19 morbidity and mortality, including age, gender, and diseases, such as hypertension, diabetes, and chronic cardiovascular diseases. Recent studies have shown an association between COVID-19 infection and the ABO blood groups. Objective: To assess the prevalence of SARS-CoV-2 among suspected COVID-19 patients as well as the risk markers for COVID-19 associated with ABO blood group, Rhesus factor, and patient’s address during the past year. Methods: 69,019 nasopharyngeal swab samples were collected and analyzed by reverse transcription polymerase chain reaction technique for the detection of SARS-CoV-2 in patients attending a tertiary health care center in South Lebanon during the period between August 2020 and July 2021. Results: Among all tested subjects, the prevalence of SARS-CoV-2 infection was 19.2% (95% CI: 18.9% to 19.5%). Among those with known blood group (N = 17,462), odds of SARS-CoV-2 were higher in group A (Odds Ratio = 1.12, 95% CI: 1.02 to 1.23) and group AB (OR = 1.19, 95% CI: 1.00 to 1.41) relative to the reference group O (OR = 1). Odds of SARS-CoV-2 in the Rh-negative group (OR = 1.02, 95% CI: 0.89 to 1.16) were not significantly different from the Rh-positive group. Among those with known address (N = 30,060), odds of SARS-CoV-2 were lower in residents of remote areas (OR = 0.89, 95% CI: 0.80 to 0.99) relative to central cities. Conclusion: There is a modestly higher risk of SARS-CoV-2 infection associated with blood groups A and AB, and a lower risk associated with living in remote, less crowded regions. Full article

Silver Nanoparticles (AgNPs), an epitome of nanotechnology, appear in everyday products such as water filters, printer ink, toothpaste, food packaging and cosmetics mostly due to their bactericidal properties. Given this high level of public exposure, the safety of AgNPs has never been fully established. The unsafe use of AgNPs could pose a real threat, not only to public health but also to economic growth in many industries. In this paper, we tested the effect of AgNPs on memory, learning, social behaviour and motor function of BALB/C mice. Outcomes of the present study suggested an impairment of these functions in AgNPs treated groups. Overall, obtained data support the evidence that the systemic exposure to AgNPs may result in alteration of the cerebral cognition and warrants further consideration on the impact of the AgNPs on human health with respect to their potential neurotoxicity. Full article