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Comparative life cycle analysis: Solvent recycling and improved dewatering scenarios in PHB plastic production

Chiu et al. | Jun 13, 2025

Comparative life cycle analysis: Solvent recycling and improved dewatering scenarios in PHB plastic production

The authors looked at alternative production processes for PHB plastic in an effort to reduce environmental impact. They found that no alternative process was able to significantly decrease the environmental impact of PHB production, but that optimizing dewatering steps during production could lead to the largest improvement on environmental impact.

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Testing filtration capabilities of household fabrics for protection against airborne contaminants

Shah et al. | May 31, 2025

Testing filtration capabilities of household fabrics for protection against airborne contaminants

Toxic particulates in the atmosphere pose significant health risks, and while modern masks can help reduce inhalation of these pollutants, their availability may be limited during health crises. This study evaluated the effectiveness of household fabrics (cotton, fleece, wool, and rayon) as particulate filters, finding that cotton outperformed the others in filtration efficiency, while rayon was the least effective. The findings suggest that cotton is a preferable alternative for filtration purposes, while rayon should be avoided.

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Effects of common supplements on human platelet aggregation in vitro

Prabhakar et al. | Apr 16, 2025

Effects of common supplements on human platelet aggregation in vitro
Image credit: The authors

There is a need for safe and effective therapies to prevent platelet aggregation associated with cardiovascular diseases. Prabhakar and Prabhakar test to see whether dietary supplements claiming to reduce cardiovascular disease risk will affect aggregation of human platelets.

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Depression detection in social media text: leveraging machine learning for effective screening

Shin et al. | Mar 25, 2025

Depression detection in social media text: leveraging machine learning for effective screening

Depression affects millions globally, yet identifying symptoms remains challenging. This study explored detecting depression-related patterns in social media texts using natural language processing and machine learning algorithms, including decision trees and random forests. Our findings suggest that analyzing online text activity can serve as a viable method for screening mental disorders, potentially improving diagnosis accuracy by incorporating both physical and psychological indicators.

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The optimization of high-protein duckweed cultivation in eutrophicated water with mutualistic bacteria

Akkarajeerawat et al. | Mar 18, 2025

The optimization of high-protein duckweed cultivation in eutrophicated water with mutualistic bacteria

he rapid growth of the human population is driving food crises in Thailand and Southeast Asia, while contributing to global food insecurity and a larger carbon footprint. One potential solution is cultivating duckweed (Wolffia globosa) for consumption, as it grows quickly and can provide an alternative protein source. This research explored two methods to optimize duckweed cultivation: using phosphorus- and nitrogen-rich growing media and plant growth-promoting bacteria (PGPB).

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