A novel deep learning model for predicting marine pollution for sustainable ocean management.

Climate change has become a major source of concern to the global community. The steady pollution of the environment including our waters is gradually increasing the effects of climate change. The disposal of plastics in the seas alters aquatic life.

ADME and target prediction studies of Alogliptin as drug molecule.

Alogliptin is an oral hypoglycemic agent selective inhibitor of the dipeptidyl peptidase-4 (DPP-4) enzyme. Inhibition of DPP-4 increases the levels of the incretin hormones glucagon-like peptide 1 (GLP-1) and glucose-dependent insulinotropic polypeptide (GIP) by preventing their degradation. The main goal is to study the predicted and experimental properties of absorption, distribution, metabolism, and elimination (ADME), compare them, examine predicted targets, and understand the use of SwissADME in designing other drug molecules.

Decoding oxygen prescriptions: electronic health record documentation versus patient-reported use.

Background: Long term oxygen therapy (LTOT) is prescribed for hypoxemia in pulmonary disease. Like other medical therapies, LTOT requires a prescription documenting the dosage (flow rate) and directions (at rest, with activity) which goes to a supplier. Communication with patients regarding oxygen prescription (flow rate, frequency, directions), monitoring (pulse oximetry) and dosage adjustment (oxygen titration) differs in comparison with medication prescriptions.

Evaluation of Pediatric Early Warning Score (PEWS) in Unintentional Childhood Injuries Admitted to the Critical Care Unit.

Introduction: Pediatric Early Warning Score (PEWS), also known as Brighton PEWS or Monaghan PEWS, was developed to identify children at risk for clinical deterioration in hospitals. We designed this study to describe the epidemiology of unintentional injuries in children admitted to the critical care unit in a tertiary healthcare setting, and to determine the predictive properties of PEWS in these injuries.

Methods: This is a cross-sectional study.

Acceptance and hesitancy towards COVID-19 vaccines in rural and tribal areas of Maharashtra (India).

Introduction: Hesitancy towards COVID-19 vaccines may be a major hindrance to a successful vaccination program. We assessed the vaccine uptake, facilitators, and barriers for the COVID-19 vaccine in tribal and rural populations in Maharashtra, India.

Methodology: The present study is a cross-sectional analysis of data collected from 373 individuals from six villages (three tribal and three rural) from August 2022 to September 2022.