An analytical model for the filtration efficiency of face masks is developed. The model considers the effect of gap leakage due to the improper fitting of the face mask in the reduction of the effective filtration efficiency. The model is also extended to include the case with multiple face masks. The model results are verified using experimental data from literature. It is shown that the adverse

This research investigates the feasibility of using hybrid treatment system based on coagulation/flocculation, adsorption and filtration processes for real textile wastewater treatment. Ferric Chloride (FeCl3) was used as a coagulant, Nano Zero-Valent Iron (nZVI) as adsorbent and Micro Zeolite (MZ) as filter media for the removal of chemical oxygen demand (COD), total suspended solids (TSS), color

The increase in the evaporation rate is one of the crucial effects of climate change. Water losses due to evaporation are considered as an important challenge that faces the agriculture sector considering the recent water crisis in Egypt. So, covering irrigation canals with the aim to decrease evaporation could be a good solution for this problem, especially if the coverage is expected to be used

The effect of the rate of change of fresh air inside passengers’ wagons for Underground Metro on the spreading of airborne diseases like COVID-19 is investigated numerically. The study investigates two extreme scenarios for the location of the source of infection within the wagon with four different air change rates for each. The first scenario considers the source of infection at the closest

The world is currently facing critical water and energy issues due to the growing population and industrialization, calling for methods to obtain potable water, e.g., by photocatalysis, and to convert solar energy into fuels such as chemical or electrical energy, then storing this energy. Energy storage has been recently improved by using electrochemical capacitors and ion batteries. Research is

Silver nanoparticles (AgNPs) have been extensively used in various industries; however, this is accompanied by several implications to humans and the environment. This review focuses on different aspects of AgNPs including the production and detection techniques, their fate, and dynamics in response to different environmental factors. In addition, this review illustrates the toxicity mechanism and

In this research, an approximation symbolic algorithm is suggested to obtain an approximate solution of multipantograph system of type delay differential equations (DDEs) using a combination of Laplace transform and variational iteration algorithm (VIA). The corresponding convergence results are acquired, and an efficient algorithm for choosing a feasible Lagrange multiplier is designed in the

Egyptians are at a crossroad between Africa and Eurasia, providing useful genomic resources for analyzing both genetic and environmental factors for future personalized medicine. Two personal Egyptian whole genomes have been published previously by us and here nine female whole genome sequences with clinical information have been added to expand the genomic resource of Egyptian personal genomes

Semantic segmentation of 3D point cloud data is essential for enhanced high-level perception in autonomous platforms. Furthermore, given the increasing deployment of LiDAR sensors onboard of cars and drones, a special emphasis is also placed on non-computationally intensive algorithms that operate on mobile GPUs. Previous efficient state-of-the-art methods relied on 2D spherical projection of

Modularity concepts attracted the attention of many researchers as it plays an important role in product design problems. Modularity requires dividing a product into a set of modules that are independent between each other and dependent within. The product is represented using Design Structure Matrix (DSM). DSM works as a system representation tool; it visualizes the interrelationship between