In this article, the authors investigate the shear modulus of different types of paper in the setting of the crumpling effect.
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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...Efficacy of natural coagulants in reducing water turbidity under future climate change scenarios
Here the authors investigated the effects of natural coagulants on reducing the turbidity of water samples from the Tennessee River Watershed. They found that turbidity reduction was higher at lower temperatures for eggshells. They then projected and mapped turbidity reactions under two climate change scenarios and three future time spans for eggshells. They found site-specific and time-vary turbidity reactions using natural coagulants could be useful for optimal water treatment plans.
Read More...Diagnosis and treatment delay in patients with OCD in the United States over the past three decades
Obsessive-compulsive disorder (OCD) can cause significant impairment, and studies indicate that delays in diagnosis and treatment lead to worse outcomes. This study aimed to assess whether these delays have improved over the past three decades and to identify their causes.
Read More...Uncovering the hidden trafficking trade with geographic data and natural language processing
The authors use machine learning to develop an evidence-based detection tool for identifying human trafficking.
Read More...Investigating momentum transfer with gall-forming wasps
The authors use the unique movements of the jumping gall wasp to study momentum transfer with potential applications in robotics and extraterrestrial research.
Read More...Machine learning for retinopathy prediction: Unveiling the importance of age and HbA1c with XGBoost
The purpose of our study was to examine the correlation of glycosylated hemoglobin (HbA1c), blood pressure (BP) readings, and lipid levels with retinopathy. Our main hypothesis was that poor glycemic control, as evident by high HbA1c levels, high blood pressure, and abnormal lipid levels, causes an increased risk of retinopathy. We identified the top two features that were most important to the model as age and HbA1c. This indicates that older patients with poor glycemic control are more likely to show presence of retinopathy.
Read More...The frequency and psychological effects of name mispronunciation in an independent school
The authors survey high school students regarding the frequency of microaggressions such as name mispronunciation.
Read More...Determining the impact of caffeine on aggression in Betta splendens
The authors test the effect of caffeine on the behavior of the Siamese fighting fish Betta splendens.
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