β-Caryophyllene attenuates oxidative stress and inflammatory response in LPS induced acute lung injury by targeting ACE2/MasR and Nrf2/HO-1/NF-κB axis.

Acute lung injury (ALI) and its severe form, acute respiratory distress syndrome (ARDS), is a clinical syndrome that can cause pulmonary edema, inflammation, oxidative stress, and immunological dysregulations. β-Caryophyllene (BCP), a natural bicyclic sesquiterpene, possesses a variety of pharmacological properties and has the potential to be a therapeutic agent. This study aimed to comprehend the effect of BCP on Nrf2/HO-1/NF-κB and ACE2/MasR axis in a rat model of ALI by lipopolysaccharide (LPS) and the underlying mechanisms during this process.

A real-time assessment of hazardous atmospheric pollutants across cities in China and India.

China and India are two of the fastest-growing developing economies covering about 35 % of the world's population. Due to the extensive prevalence of air pollution across cities in China and India, contemporary assessment of atmospheric pollution through real-time and remote sensing observations is inadequate. The study aims to determine the spatial distribution and temporal variation of hazardous atmospheric pollutants across cities in China (Shanghai, Nanjing, Jinan, Zhengzhou and Beijing) and India (Kolkata, Asansol, Patna, Kanpur and Delhi).

Optimization and establishment of laboratory rearing conditions for Cimex lectularius L. against variable temperature and relative humidity.

Emerging infestations of bed bugs are affecting normal human lifestyle globally. This study has been designed to optimize the rearing conditions for Cimex lectularius L. (Hemiptera), to support the scientific research on them.

COVID-19's lockdown effect on air quality in Indian cities using air quality zonal modeling.

The complete lockdown due to COVID-19 pandemic has contributed to the improvement of air quality across the countries particularly in developing countries including India. This study aims to assess the air quality by monitoring major atmospheric pollutants such as AOD, CO, PM, NO, O and SO in 15 major cities of India using Air Quality Zonal Modeling. The study is based on two different data sources; (a) grid data (MODIS- Terra, MERRA-2, OMI and AIRS, Global Modeling and Assimilation Office, NASA) and (b) ground monitoring station data provided by Central Pollution Control Board (CPCB) / State Pollution Control Board (SPCB).