This study investigated how well food labels from 280 different brands across multiple food and drink categories in India and the US adhered to recommended nutritional labeling standards as outlined by the Codex Alimentarius.
Read More...A comparative study of food labels in the United States and India: Adherence to Codex Alimentarius guidelines
This study investigated how well food labels from 280 different brands across multiple food and drink categories in India and the US adhered to recommended nutritional labeling standards as outlined by the Codex Alimentarius.
Read More...Mechanism and cytotoxicity of A1874 proteolysis targeting chimera on CT26 colon carcinoma cell line
This study investigates the effects of the PROTAC compound A1874 on CT26 colon carcinoma cells, focusing on its ability to degrade the protein BRD4 and reduce cell viability. While A1874 had previously shown effectiveness in other colon cancer cell lines, its impact on CT26 cells was unknown.
Read More...Higher pH level increases the efficacy of calcium phosphate-mediated intracellular delivery
This study investigated the impact of pH on the efficiency of calcium phosphate, used as a drug delivery agent.
Read More...Redefining and advancing tree disease diagnosis through VOC emission measurements
Here the authors investigated the use of an affordable gas sensor to detect volatile organic compound (VOC) emissions as an early indicator of tree disease, finding statistically significant differences in VOCs between diseased and non-diseased ash, beech, and maple trees. They suggest this sensor has potential for widespread early disease detection, but call for further research with larger sample sizes and diverse locations.
Read More...The effect of patient perception of physician on patient compliance
The authors investigated whether the physician-patient relationship affected patient perceptions and treatment adherence.
Read More...Correlation between concentration of particulate matter 2.5 and solar energy production in Brooklyn, NY
Forecasting air quality index: A statistical machine learning and deep learning approach
Here the authors investigated air quality forecasting in India, comparing traditional time series models like SARIMA with deep learning models like LSTM. The research found that SARIMA models, which capture seasonal variations, outperform LSTM models in predicting Air Quality Index (AQI) levels across multiple Indian cities, supporting the hypothesis that simpler models can be more effective for this specific task.
Read More...Does emotion regulation moderate the relationship between self-esteem and social desirability?
The authors investigate the relationship between self-esteem, social desirability, and emotion regulation in children and adolescents.
Read More...Efficacy of natural coagulants in reducing water turbidity under future climate change scenarios
Here the authors investigated the effects of natural coagulants on reducing the turbidity of water samples from the Tennessee River Watershed. They found that turbidity reduction was higher at lower temperatures for eggshells. They then projected and mapped turbidity reactions under two climate change scenarios and three future time spans for eggshells. They found site-specific and time-vary turbidity reactions using natural coagulants could be useful for optimal water treatment plans.
Read More...Remote Work in the United States: Sectoral Analysis of Salary Trends