Browse Articles

The authors develop a machine learning method to reduce misclassification of objects in safety-critical applications such as medical diagnosis.

Due to a critical shortage of donor hearts, researchers are exploring cardiac xenotransplantation—transplanting animal hearts into humans—as a potential solution. This study synthesized nearly two decades of preclinical research to evaluate multiple factors affecting xenograft survival.

This paper investigates the potential anticancer properties of Uvularia perfoliata by testing its effects on the viability of uveal melanoma cells.

Default opt-ins and social proof tags effect on decision making in an e-commerce context

Improving the classifier of the difficulty level of Sudoku.

Domestic waste classification using convolutional neural network

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

This study explores auxin signaling in Chlorella vulgaris, a green alga with potential for sustainable biofuel and food production. Evidence from protoplast swelling experiments suggests that C. vulgaris secretes auxin and possesses auxin import proteins, highlighting previously uncharacterized signaling pathways. These findings could support more efficient cultivation and resource extraction strategies.

The authors compare air quality in the presence and absence of a living wall in a high school hallway in Brooklyn, NY.

The authors looked at the ability of Spirulina platensis to reduce contaminants in wastewater in order to develop a more accessible treatment option. They found that S platensis did reduce the concentration of pollutants present within simulated agricultural wastewater.