Browse Articles

Analysis of the Sloan green and red photometry of the Type Ia supernova 2024neh

The authors looked at unionization petitions from Starbucks workers between August 2021 and July 2024 to determine what factors influence votes for or against unionization.

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.