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The Effect of Cobalt Biomineralization on Power Density in a Microbial Fuel Cell

Bandyopadhyay et al. | Sep 07, 2015

The Effect of Cobalt Biomineralization on Power Density in a Microbial Fuel Cell

A microbial fuel cell is a system to produce electric current using biochemical products from bacteria. In this project authors operated a microbial fuel cell in which glucose was oxidized by Shewanella oneidensis in the anodic compartment. We compared the power output from biomineralized manganese or cobalt oxides, reduced by Leptothrix cholodnii in the cathodic compartment.

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Lettuce seed germination in the presence of microplastic contamination

Kochar et al. | Dec 09, 2024

Lettuce seed germination in the presence of microplastic contamination

Microplastic pollution is a pressing environmental issue, particularly in the context of its potential impacts on ecosystems and human health. In this study, we explored the ability of plants, specifically those cultivated for human consumption, to absorb microplastics from their growing medium. We found no evidence of microplastic absorption in both intact and mechanically damaged roots. This outcome suggests that microplastics larger than 10 μm may not be readily absorbed by the root systems of leafy crops such as lettuce (L. sativa).

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Mendelian randomization reveals shared genetic landscape in autism spectrum disorder and Alzheimer's disease

Lee et al. | Nov 04, 2024

Mendelian randomization reveals shared genetic landscape in autism spectrum disorder and Alzheimer's disease

Autism Spectrum Disorder (ASD) and Alzheimer's Disease (AD) are distinct conditions, but research suggests a link, as individuals with ASD are 2.5 times more likely to develop AD. A study employing genome-wide association studies and Mendelian randomization revealed shared genetic factors, particularly in synaptic regulation pathways, that may increase the risk of AD in those with ASD. These findings provide insights into the genetic underpinnings connecting the two disorders.

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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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Changing electronic use behavior in adolescents while studying: An interventional psychology experiment

Kumar et al. | Mar 02, 2024

Changing electronic use behavior in adolescents while studying: An interventional psychology experiment
Image credit: RAMSHA ASAD

Here, the authors investigated the effects of an interventional psychology on the study habits of high school students specifically related to the use of electronic distractions such as social media or texting, listening to music, or watching TV. They reported varying degrees of success between the control and intervention groups, suggesting that the methods of habit-breaking for students merits further study.

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Fitness social media is positively associated with the use of performance-enhancing drugs among young men

Tamaki et al. | Feb 01, 2024

Fitness social media is positively associated with the use of performance-enhancing drugs among young men
Image credit: Samuel Girven

Here the authors investigated the relationship between fitness-related social media and the high usage of performance-enhancing drugs (PEDs) specifically by men in the US age 18-35. In a survey with 149 participants they identified that young men that use fitness-related social media are more likely to use PEDs. Their results suggest the necessity to consider potential risk behaviors which may be related to social media consumption.

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