The authors looked at how activation of the sympathetic nervous system impacts short-term memory.
Read More...Examining the impact of the sympathetic nervous system on short-term memory
The authors looked at how activation of the sympathetic nervous system impacts short-term memory.
Read More...Nature’s reset: The effect of native and invasive plant forage on honey bee nutrition and survival
The authors looked at survival of honey bees over the winter in regards to native and invasive plant availability. They found that native plants provided greater survivability and overall health compared to environments where there was an abundance of invasive plants.
Read More...Determining surface tension of various liquids and shear modulus of paper using crumpling effect
In this article, the authors investigate the shear modulus of different types of paper in the setting of the crumpling effect.
Read More...Investigation of Everyday Locations for Antibiotic-Resistant Bacteria in Cambridge, Massachusetts
In this study, the authors investigate whether antibiotic-resistant bacteria can be found in everyday locations. To do this, they collected samples from multiple high-trafficked areas in Cambridge, MA and grew them in the presence and absence of antibiotics. Interestingly, they grew bacterial colonies from many locations' samples, but not all could grow in the presence of ampicillin. These findings are intriguing and relevant given the rising concern about antibiotic-resistant bacteria.
Read More...Wind Resistance and Automobile Shapes
Energy efficiency is becoming more important as we struggle to find better, more sustainable energy sources to power our planet; the car industry is no exception. In this article, the authors examine the effect of shape on automobile aerodynamics By finding the shape that makes cars less resistant to wind, and therefore more energy efficient, can help the automobile industry make better, more eco-friendly cars that are also cheaper to operate.
Read More...Drought prediction in the Midwestern United States using deep learning
The authors studied the ability of deep learning models to predict droughts in the midwestern United States.
Read More...Analysis of quantitative classification and properties of X-ray binary systems
The authors looked at variables and their patterns and how those contribute to the properties of X-ray binaries.
Read More...Sloan green and red photometry of the Type Ia supernova 2024neh
Analysis of the Sloan green and red photometry of the Type Ia supernova 2024neh
Read More...Study of neural network parameters in detecting heart disease
The authors looked at the ability to detect heart disease before the onset of severe clinical symptoms.
Read More...Predicting voting and union support in certification elections: Evidence from Starbucks workers, 2021-2024
The authors looked at unionization petitions from Starbucks workers between August 2021 and July 2024 to determine what factors influence votes for or against unionization.
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