Microbiological quality of vegan alternatives to dairy and meat products in England during 2022-3.

Aims: Plant-based alternatives to meat and dairy products have become increasingly popular in the UK. Despite a public perception that they have a relatively low microbiological risk, outbreaks of illness have been linked with these foods. This study aimed to assess the microbiological safety and quality of vegan alternatives to dairy and meat products available in England.

the silent assassin.

Listeriosis is a foodborne infection in humans caused by Consumption of contaminated food can lead to severe infection in vulnerable patients, that can be fatal. Clinical manifestations include sepsis and meningitis, and in pregnancy-associated infection, miscarriage and stillbirth. Diagnosis is confirmed by culture and identification of the pathogen from blood, cerebrospinal fluid, vaginal swab, placenta or amniotic fluid.

Myxoid Liposarcoma of the Parotid Gland.

Liposarcoma is extremely rare in the parotid gland. In this article, we report the case of an 87-year-old man who presented to our department with swelling in the left parotid region. Magnetic resonance imaging (MRI) revealed a tumor in the superficial lobe of the parotid gland.

Fake COVID-19 videos detector based on frames and audio watermarking.

With the innovation and development of advanced video editing technology and the widespread use of video information and services in our society, it is increasingly necessary to maintain the reliability of video information. As a result, sensitive video contents in various fields such as surveillance, medical, and others should be secured against attempts to alter them because malicious modifications could impact decisions based on these videos. In this paper, we present a fake video detector based on combining audio and frames watermarking.

Deep Content Information Retrieval for COVID-19 Detection from Chromatic CT Scans.

In this paper, we investigate the role of the chromatic information in CT scans in COVID-19 detection and we aim to confirm the inclusion of the artificial intelligence findings in assisting COVID-19 diagnosis. This paper proposes a freezing-based convolutional neural network learning using a morphological transformation of CT images to classify COVID-19 cohorts to help in prognostication pneumonia disease monitoring. The experiments made on the collected CT images from previous works have proven to be a powerful aid to recognize the lesions in CT images which works at comprehensively greater accuracy and speed.