Publications by authors named "M J Barakat"

Spontaneous cervical swelling syndrome is an uncommon clinical syndrome characterized by the sudden onset of swelling in the cervical region with no identifiable cause. A 47-year-old woman with a history of Iron Deficiency Anemia presented to the emergency department (ED) complaining of an acute left neck and upper chest swelling and pressure sensation in her neck. The swelling started suddenly and was growing rapidly over several hours.

View Article and Find Full Text PDF

Shingles, also known as herpes zoster, is a reactivation of the chickenpox virus that causes a painful, blistering rash. After a chickenpox infection, the virus lies dormant in nerve cells. When reactivated, usually in older adults or those with weakened immune systems, it travels along nerves, typically affecting a single strip of skin called a dermatome.

View Article and Find Full Text PDF

Pharmaceuticals are the new emerging challenge pollutants to removal from the aquatic environments. In this study, a series of reduced graphene oxide/carbon/calcium alginate (rGO/C/CA) aerogel was fabricated using an environmentally friendly freeze-drying method. The surface properties including surface textures, elemental contents, crystal structures, and functional groups of rGO/C/CA aerogel were investigated.

View Article and Find Full Text PDF

Background And Aims: The recently approved maternal vaccination against respiratory syncytial virus (RSV) can reduce its burden among infants. However, vaccine hesitancy/resistance can undermine the beneficial impact of RSV vaccination. The aim of this study was to assess the willingness of pregnant women in Jordan to receive RSV vaccination and its associated determinants.

View Article and Find Full Text PDF

Machine learning and its specialized forms, such as Artificial Neural Networks and Convolutional Neural Networks, are increasingly being used for detecting and managing gastrointestinal conditions. Recent advancements involve using Artificial Neural Network models to enhance predictive accuracy for severe lower gastrointestinal (LGI) bleeding outcomes, including the need for surgery. To this end, artificial intelligence (AI)-guided predictive models have shown promise in improving management outcomes.

View Article and Find Full Text PDF