The impact of aerosol box on tracheal intubation during the COVID-19 pandemic: a systematic review.

INTRODUCTION: This study aimed to summarize the effect of the aerosol box on tracheal intubation in patients with COVID-19. AREAS COVERED: According to the PRISMA guidelines, a systematic search was performed to identify relevant literature on the 'impact of the aerosol box on tracheal intubation during the COVID-19 pandemic' in different electronic databases up to March 2021. Based on a set of predefined inclusion and exclusion criteria, 447 articles were screened. Finally, 20 articles were included in the current systematic review. The findings showed that the use of aerosol box during intubation could reduce droplet contamination on the healthcare workers but not necessarily aerosols. An increase in the time of intubation with the aerosol box was also observed in 9 out of 12 studies (75%); however, three studies reported no significant difference in the time of intubation with and without the aerosol box. Most studies (8 out of 9, 89%) were also shown that intubation with the aerosol box may lead to more difficulty. EXPERT OPINION: The proceduralist and other healthcare workers involved in airway management of COVID-19 infected patients should decide whether to apply the aerosol box with caution, balancing between benefits and risks, especially in difficult airway circumstances.

Optimization of doubly-fed induction generator (DFIG)based wind turbine to achieve maximum power generation with imperialist competitive algorithm (ICA).

Today, due to the end of fossil fuels and efforts to reduce the use of renewable resources, wind energy is a suitable option for the production of electrical energy due to its high-power generation. To increase the output efficiency of wind turbines, maximum power point tracking techniques are required for wind turbine energy conversion systems. In this research, the maximum power point (MPPT) method for two-way fed wind turbine systems (DFIG) is presented. The performance of the induction generator is presented on both sides of the power and the values of this generator such as speed, torque, voltage, current and maximum power at the time of wind speed changes. The presented work is presented in two scenarios and the model is performed without the algorithm then, a maximum power point tracking method based on the Colonial Competition Algorithm (ICA) has been applied to estimate the power of the two power induction generators. According to the results, it can be said that in the scenario with the algorithm of generating electric power by the turbine, several times in the production state is 9 MW, which is the rate of the turbine's nominal power, while in another scenario, the power generated by the turbine is 85% of the power in the state with the algorithm.

Perspectives and Trends in Advanced MXenes-Based Optical Biosensors for the Recognition of Food Contaminants.

Fabricating novel biosensing constructs with high sensitivity and selectivity is highly demanded in food contaminants detection. In this prospect, various nanostructured materials were envisaged to build (bio)sensors with superior sensitivity and selectivity. The desirable biocompatibility, brilliant mechanical strength, ease of surface functionalization, as well as tunable optical and electronic features, portray 2D MXenes as versatile scaffolds for biosensing. In this review, we overviewed the state-of-the-art MXenes-based optical biosensing devices to detect mycotoxins, pesticide residues, antibiotic residues, and food borne-pathogens from foodstuff and environmental matrices. Firstly, the synthesis methods and surface functionalization/modification of MXenes are discussed. Secondly, according to the target analytes, we categorized and presented a detailed account of the newest research progress of MXenes-based optical probes for food contaminants monitoring. The efficiency of all the surveyed probes was assessed on the basis of important factors like response time, detection limit (DL), and sensing range. Lastly, the necessity and requirements for future advances in this emerging MXenes material are also given, followed by challenges and opportunities. We hope that this study will bridge the gap between nanotechnology and food science, offering insights for engineers or scientists in both areas to accelerate the progress of MXenes-based materials for food safety detection.