Browse Articles

Determining the Hubble constant through the analysis of Abell clusters

Lee et al. | Sep 28, 2026

Determining the Hubble constant through the analysis of  Abell clusters
Image credit: NASA Hubble Space Telescope

Galaxy clusters offer several advantages for measuring H0 compared to traditional methods, such as Cepheid variables or Type Ia supernovae. Unlike individual stars or supernovae, clusters are less affected by local variations in stellar population or interstellar medium properties, providing a more stable and consistent measure over large cosmological distances. This work proposes using galaxy clusters as an alternative method for determining the H0. It provides an independent perspective on the H0 debate and contribute to ongoing efforts to reconcile the differing values obtained from the other two measurements.

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pH-dependent drug interactions with acid reducing agents

Lin et al. | Nov 12, 2024

pH-dependent drug interactions with acid reducing agents
Image credit: The authors

Some cancer treatments lose efficacy when combined with treatments for excessive stomach acid, due to the changes in the stomach environment caused by the stomach acid treatments. Lin and Lin investigate information on oral cancer drugs to see what information is available on interactions of these drugs.

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Qualitative tracking of human and animation motions reveals differences in their walking gaits

Baily et al. | Oct 04, 2024

Qualitative tracking of human and animation motions reveals differences in their walking gaits

In their attempt to evoke a greater emotional connection with viewers, animators have strived to replicate human movements in their animations. However, animation movements still appear distinct from human movements. With a focus on walking, we hypothesized that animations, unaffected by real external forces (e.g. gravity), would move with a universally distinct, gliding gait that is discernible from humans.

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A HOG feature extraction and CNN approach to Parkinson’s spiral drawing diagnosis

Tripathi et al. | Aug 09, 2024

A HOG feature extraction and CNN approach to Parkinson’s spiral drawing diagnosis

Parkinson’s disease (PD) is a prevalent neurodegenerative disorder in the U.S., second only to Alzheimer’s disease. Current diagnostic methods are often inefficient and dependent on clinical exams. This study explored using machine and deep learning to enhance PD diagnosis by analyzing spiral drawings affected by hand tremors, a common PD symptom.

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