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Increasing CO2 levels in water decrease the hatching success of brine shrimp

Greer et al. | Jan 07, 2025

Increasing CO<sub>2</sub> levels in water decrease the hatching success of brine shrimp
Image credit: "Live brine shrimp" by Saul Dolgin is licensed under CC BY 2.0. To view a copy of this license, visit https://creativecommons.org/licenses/by/2.0/?ref=openverse.

As atmospheric carbon dioxide (CO2) levels rise, ocean acidification poses a growing threat to marine ecosystems. To better understand these changes, this study investigates how varying CO2 levels influence the growth of brine shrimp. The findings offer important insights into the resilience of aquatic life and the broader implications of environmental change.

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Correlation between particulate matter concentrations and COPD hospitalization rates in Massachusetts

Ganeshwaran et al. | Dec 30, 2024

Correlation between particulate matter concentrations and COPD hospitalization rates in Massachusetts
Image credit: The authors

Air pollution is thought to increase the prevalence of health conditions like chronic obstructive pulmonary disease (COPD). Ganeshwaran and Ropiak investigate this relationship by determining whether there is a correlation between between one type of air pollution (fine particulate matter concentrations) and COPD hospitalization rates in Massachusetts.

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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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Optimizing surface contact area and electrolyte type to develop a more effective rechargeable battery

Rajapakse et al. | Oct 27, 2024

Optimizing surface contact area and electrolyte type to develop a more effective rechargeable battery
Image credit: Rajapakse and Rajapakse 2024.

Rechargeable batteries are playing an increasingly prominent role in our lives due to the ongoing transition from fossil energy sources to green energy. The purpose of this study was to investigate variables that impact the effectiveness of rechargeable batteries. Alkaline (non-rechargeable) and rechargeable batteries share common features that are critical for the operation of a battery. The positive and negative electrodes, also known as the cathode and anode, are where the energy of the battery is stored. The electrolyte is what facilitates the transfer of cations and anions in a battery to generate electricity. Due to the importance of these components, we felt that a systematic investigation examining the surface area of the cathode and anode as well the impact of electrolytes with different properties on battery performance was justified. Utilizing a copper cathode and aluminum anode coupled with a water in salt electrolyte, a model rechargeable battery system was developed to test two hypotheses: a) increasing the contact area between the electrodes and electrolyte would improve battery capacity, and b) more soluble salt-based electrolytes would improve battery capacity. After soaking in an electrolyte solution, the battery was charged and the capacity, starting voltage, and ending voltage of each battery were measured. The results of this study supported our hypothesis that larger anode/cathodes surface areas and more ionic electrolytes such as sodium chloride, potassium chloride and potassium sulfate resulted in superior battery capacity. Incorporating these findings can help maximize the efficiency of commercial rechargeable batteries.

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Near-infrared activation of environmentally-friendly gold and silver nanoparticles for unclogging arteries

Gill et al. | Sep 06, 2024

Near-infrared activation of environmentally-friendly gold and silver nanoparticles for unclogging arteries

Coronary artery disease, the leading cause of death worldwide, results from cholesterol build-up in coronary arteries, limiting blood and oxygen flow to the heart. This study investigated the use of gold and silver nanoparticles coated with aspirin and activated by near-infrared light to improve blood flow in a clogged artery model. The nanoparticles increased simulated blood flow rates, demonstrating potential as a less invasive and more targeted treatment for cardiovascular disease.

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A comparative study of dynamic scoring formulas for capture-the-flag competitions

Ho et al. | Aug 30, 2024

A comparative study of dynamic scoring formulas for capture-the-flag competitions

The use of gamification in cybersecurity education, particularly through capture-the-flag competitions, involves scoring challenges based on their difficulty and the number of teams that solve them. The study investigated how changing the scoring formulas affects competition outcomes, predicting that different formulas would alter score distributions.

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Adults’ attitudes toward non-alcoholic beer purchases and consumption by children and adolescents

An et al. | Aug 23, 2024

Adults’ attitudes toward non-alcoholic beer purchases and consumption by children and adolescents
Image credit: The authors

Consumption of non-alcoholic beverages, like non-alcoholic beer, is growing in popularity in the United States. These beverages raise important societal questions, such as whether minors should be allowed to purchase or consume non-alcoholic beer. An and An investigate this issue by surveying adults to see if they support minors purchasing and consuming non-alcoholic beer.

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Diagnosing hypertrophic cardiomyopathy using machine learning models on CMRs and EKGs of the heart

Kolluri et al. | Jul 29, 2024

Diagnosing hypertrophic cardiomyopathy using machine learning models on CMRs and EKGs of the heart
Image credit: Jesse Orrico

Here seeking to develop a method to diagnose, hypertrophic cardiomyopathy which can cause sudden cardiac death, the authors investigated the use of a convolutional neural network (CNN) and long short-term memory (LSTM) models to classify cardiac magnetic resonance and heart electrocardiogram scans. They found that the CNN model had a higher accuracy and precision and better other qualities, suggesting that machine learning models could be valuable tools to assist physicians in the diagnosis of hypertrophic cardiomyopathy.

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The effects of plasticizers on the mechanical properties and chemical composition of a gelatin biopolymer

Ip et al. | Jul 28, 2024

The effects of plasticizers on the mechanical properties and chemical composition of a gelatin biopolymer

Here, in an effort to identify alternatives to oil-based plastic, the authors sought to investigate the effects of plasticizers on the mechanical properties and chemical composition of gelatin bioplastic matrices. Through measurements of their tensile strength and elongation at break, along with FTIR spectroscopy, they identified 3% w/v polyethylene glycol film as having the best performance in their study..

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Public Perception of the Effects of Artificial Sweeteners on Diabetes Based on YouTube Comments

Kim et al. | Jun 25, 2024

Public Perception of the Effects of Artificial Sweeteners on Diabetes Based on YouTube Comments
Image credit: The authors

Artificial sweeteners are rising in popularity, in part due to the influence of social media platforms like YouTube. However, YouTube commenters often repeat information about artificial sweeteners that is not supported by scientific research. To investigate how misinformation about sweeteners spreads through social media, Kim and Yoo conduct a content analysis of YouTube comments to reveal how many comments repeat misinformation about artificial sweeteners' effects.

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