Production of an amylase from newly Bacillus strain: Optimization by response-surface methodology, characterization and application with a fungal lipase in bread making.

Using the statistical approaches, the optimization of amylase production by a newly Bacillus strain was achieved. Keeping the insignificant factor at lower levels and following the optimized condition (inoculum size 0.3; 19 h of incubation; 18 g L of starch; 4 g L of MgSO; and 15 g L NaCl) the amylase activity has reached 18.

Deep-active-learning approach towards accurate right ventricular segmentation using a two-level uncertainty estimation.

The Right Ventricle (RV) is currently recognised to be a significant and important prognostic factor for various pathologies. Its assessment is made possible using Magnetic Resonance Imaging (CMRI) short-axis slices. Yet, due to the challenging issues of this cavity, radiologists still perform its delineation manually, which is tedious, laborious, and time-consuming.

SARS-CoV-2 diagnosis using medical imaging techniques and artificial intelligence: A review.

Objective: SARS-CoV-2 is a worldwide health emergency with unrecognized clinical features. This paper aims to review the most recent medical imaging techniques used for the diagnosis of SARS-CoV-2 and their potential contributions to attenuate the pandemic. Recent researches, including artificial intelligence tools, will be described.

Chest CT-scan finding of asymptomatic COVID-19 pneumonia: a prospective 542 patients' single center study.

Since asymptomatic infections as "covert transmitter", and some patients can progress rapidly in the short term, it is essential to pay attention to the diagnosis and surveillance of asymptomatic patients with SARS-COV2 infection. CT scan has great value in screening and detecting patients with COVID-19 pneumonia, especially in the highly suspected or probable asymptomatic cases with negative RT-PCR for SARS-COV2. This study aimed to detect incidentally COVID-19 pneumonia on medical imaging for patients consulting for other reasons.