Arsenic Exposure through Dietary Intake and Associated Health Hazards in the Middle East.

Dietary arsenic (As) contamination is a major public health issue. In the Middle East, the food supply relies primarily on the import of food commodities. Among different age groups the main source of As exposure is grains and grain-based food products, particularly rice and rice-based dietary products.

Augmented Reality (AR) and Cyber-Security for Smart Cities-A Systematic Literature Review.

Augmented Reality (AR) and cyber-security technologies have existed for several decades, but their growth and progress in recent years have increased exponentially. The areas of application for these technologies are clearly heterogeneous, most especially in purchase and sales, production, tourism, education, as well as social interaction (games, entertainment, communication). Essentially, these technologies are recognized worldwide as some of the pillars of the new industrial revolution envisaged by the industry 4.

Chest X-ray Classification for the Detection of COVID-19 Using Deep Learning Techniques.

Recent technological developments pave the path for deep learning-based techniques to be used in almost every domain of life. The precision of deep learning techniques make it possible for these to be used in the medical field for the classification and detection of various diseases. Recently, the coronavirus (COVID-19) pandemic has put a lot of pressure on the health system all around the world.

How Did Awareness, Emotion, and Motivation Shape Behavior Toward COVID-19 in Tunisians?

This study was conducted to assess the psychological distress in the general population of Tunisia during the pandemic of COVID-19 and examines how awareness of the disease, emotional experience, and motivation shaped the behavior toward this outbreak. The study covers 1492 Tunisian participants. Gender effects and age limits were studied in relation with the seriousness of the disease and lockdown impacts.

Development and validation of GC-MS method for determination of methcathinone and its main metabolite in mice plasma and brain tissue after SPE: Pharmacokinetic and distribution study.

Only focusing on the plasma levels is inadequate for the full consideration of the physiological disposition of illicit drugs in vivo. Therefore, we conducted the inclusive study on the in vivo dynamic process of intraperitoneal administration of methcathinone (MET), a well-known member of the synthetic cathinone derivatives, which is structurally similar to amphetamine analogs. This study described a validated, selective and sensitive GC-MS method for the simultaneous quantification of MET and its main metabolite, ephedrine (EPD), in the plasma and brain tissue of mice, after solid phase extraction (SPE).

An AUV-Aided Cross-Layer Mobile Data Gathering Protocol for Underwater Sensor Networks.

Underwater sensor networks (UWSNs) have recently attracted much attention due to their ability to discover and monitor the aquatic environment. However, acoustic communication has posed some significant challenges, such as high propagation delay, low available bandwidth, and high bit error rate. Therefore, proposing a cross-layer protocol is of high importance to the field to integrate different communication functionalities (i.