Browse Articles

Climate change is an important and contentious issue that has far-reaching implications for our future. The authors here compare primary temperature and precipitation data from almost 200 years ago against the present day. They find that the average annual temperature in Brooklyn, NY has risen significantly over this time, as has the frequency of precipitation, though not the amount of precipitation. These data stress the need for more ecologically-conscious choices in our daily lives.

This study explores the interaction between precocene II and trichocethecene 3-O-acetyltransferase using molecular docking simulations. Computational analysis identified several potential binding sites on the enzyme surface and predicted favorable ligand-protein interactions involving key residues. These findings provide insight into how precocene II may interact with this enzyme and demonstrate the use of computational approaches to explore potential antifungal mechanisms.

Here the authors investigated the relationship between offensive play-calling styles and scoring success within the NFL's red zone by analyzing play-by-play data and expected points metrics. Their findings suggest that a conservative approach to play design and execution is more strongly associated with maximizing efficiency and point-value gains than aggressive strategies.

The author looked at how dance styles can vary by individuals, even between a student and their teacher.

The authors survey adults to assess how childhood adversity may impact adult relationships and ways of giving or receiving affection.

This study explored whether planaria, known for their regenerative abilities, can retain learned memories after regeneration and how stressors like alcohol affect memory.

The authors looked at public knowledge regarding suggested daily limits for sugar intake and then looked at how sugar levels vary in the same drink obtained from different sources and across different days.

The authors used Monte Carlo simulations to assess the impacts of various factors on neonatal seizure risk.

The authors developed and tested machine learning methods to diagnose tuberculosis from pulmonary X-ray scans.

The global issue of water quality has led to the use of machine learning models, like ANN and SVM, to predict water potability. However, these models can be complex and resource-intensive. This research aimed to find a simpler, more efficient model for water quality prediction.