Browse Articles

The Prevalence of White Guilt Among American High School Students

Buadu et al. | Jun 03, 2014

The Prevalence of White Guilt Among American High School Students

Racial inequality has been a major issue throughout the history of the United States. In recent years, however, especially with the election of America's first black president, many have claimed that we have made progress and are moving towards a post-racial society. The authors of this study sought to test that claim by evaluating whether high school age students still experience a phenomenon known as white guilt. White guilt is defined as remorse or shame felt by people of Caucasian descent about racial inequality.

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The Effect of UV Treatment on the Degradation of Compostable Polylactic Acid

Zhang et al. | Nov 28, 2013

The Effect of UV Treatment on the Degradation of Compostable Polylactic Acid

Polylactic acid (PLA) is a bio-based, compostable plastic that is comparable in cost to petroleum-based plastics. This study aims to evaluate the effects of UV treatment and mechanical chopping on the degradation of PLA. Based on their findings, the authors propose an alternative PLA degradation process that may be more time and energy efficient than current processes.

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The effect of pH levels on the growth rate of diatoms

Shao et al. | Oct 14, 2026

The effect of pH levels on the growth rate of diatoms
Image credit: Cristian Palmer

Here the authors investigated how climate change-induced ocean acidification may impact harmful micro algae such as diatoms that produce large amounts of oxygen in the atmosphere and serve as important food sources for other marine organisms. They evaluated diatom growth rates at current seawater pH levels (8.1) alongside reduced pH levels (7.5 and 6.8). The findings indicate that while diatoms maintain steady growth under moderate acidification (pH 7.5), severe acidification down to pH 6.8 significantly limits their ability to adapt and thrive.

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Using machine learning to detect outliers of red clump stars

Meng et al. | Oct 10, 2026

Using machine learning to detect outliers of red clump stars

Machine learning offers a powerful way to analyze large astronomical datasets and identify stars with unusual properties. In this study, students used Extreme Gradient Boosting and Isolation Forest models to investigate why some red clump stars deviate from their expected luminosities. Their results show that stellar age plays a much stronger role than metallicity in driving luminosity variation, and the models successfully detected outlier stars that may affect distance measurements in galactic studies.

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Mitigation of ultraviolet solar radiation involving calcite

Nare et al. | Oct 10, 2026

Mitigation of ultraviolet solar radiation involving calcite

This study tested whether calcite, a safe and naturally occurring mineral, can block ultraviolet (UV) radiation when used in solar geoengineering. Students launched a high‑altitude balloon carrying UV sensors and calcite‑coated sheets to measure how much UV light passed through different calcite concentrations. Their results showed that calcite significantly reduces UV transmission, suggesting it may be a promising material for future stratospheric aerosol injection to help mitigate climate change.

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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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Multi-omic analysis identifies mitochondrial dysfunction as a key feature of hypertrophic cardiomyopathy

Velu et al. | Sep 26, 2026

Multi-omic analysis identifies mitochondrial dysfunction as a key feature of hypertrophic cardiomyopathy

This study used multi-omic analysis to investigate gene expression and DNA methylation patterns associated with hypertrophic cardiomyopathy (HCM). The researchers found significant downregulation of mitochondrial and energy-related pathways, highlighting mitochondrial dysfunction—particularly altered PINK1 expression—as a potential contributor and therapeutic target in HCM.

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Fundamental understanding on the dynamic reactions of liquid gallium with aluminum

Li et al. | Sep 11, 2026

Fundamental understanding on the dynamic reactions of liquid gallium with aluminum
Image credit: David Hofmann

This study investigates the dynamic reaction between liquid gallium and aluminum, which poses a challenge when using high-performance gallium-rich thermal interface materials for electronic cooling. Through the usage of in-situ microscopy, we show that while aluminum oxide coatings slow gallium-induced damage, nanometer-thick iridium coatings effectively prevent reaction and surface degradation at device-operating temperatures. These findings highlight a promising thermal-cooling architecture for extending the lifespan and reliability of high-power electronic heat dissipation systems.

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