In this study, the authors test new antimicrobials by measuring the ability of extracts from Australian-native Myrtaceae species to induce death of two bacteria S. aureus and P. aeruginosa.
Read More...Myrtaceaes as antimicrobial agents against Staphylococcus aureus and Pseudomonas aeruginosa
In this study, the authors test new antimicrobials by measuring the ability of extracts from Australian-native Myrtaceae species to induce death of two bacteria S. aureus and P. aeruginosa.
Read More...The effect of an anthocyanin on the gut permeability of a Type 2 Diabetic Drosophila melanogaster
Anti-diabetic drugs like Metformin are known to increase gut permeability, and this has a negative impact on patient health. These authors hypothesized that this can be mitigated using purple sweet potato extract, which is high anthocyanin content, that feeds bacteria metabolism to decrease gut permeability.
Read More...Comparing the Effect of Stent Geometry on Blood Flow Rate of Curved Coronary Artery Stenosis
Coronary heart disease (CHD) is a global disease that causes fatal buildup of plaque in the arteries. Currently stents are placed in the artery for many patients with CHD to support proper blood flow. Here, the authors build a system to explore how the shape of the stent affects blood flow rate, a finding that can help optimize stents for patients.
Read More...Cytotoxicity evaluation of Amaranthus extracts compared with AS20 on MCF-7 cancer cells
The authors test the antiproliferative and apoptosis-inducing properties of an extract created from a traditional Indian medicinal plant of the Amaranthus genus.
Read More...Machine Learning Algorithm Using Logistic Regression and an Artificial Neural Network (ANN) for Early Stage Detection of Parkinson’s Disease
Despite the prevalence of PD, diagnosing PD is expensive, requires specialized testing, and is often inaccurate. Moreover, diagnosis is often made late in the disease course when treatments are less effective. Using existing voice data from patients with PD and healthy controls, the authors created and trained two different algorithms: one using logistic regression and another employing an artificial neural network (ANN).
Read More...The Non-Thermal Effect of UV-B Irradiation on Onion Growth
UV-B radiation due to the depletion of ozone threatens plant life, potentially damaging ecosystems and dismantling food webs. Here, the impact of UV-B radiation on the physiology and morphology of Allum cepa, the common onion, was assessed. Mitosis vitality decreased, suggesting UV-B damage can influence the plant’s physiology.
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...Elucidating the Genotoxicity of Synthetic Food Preservatives with the SOS Chromotest
Evidence suggests certain food preservatives may be genotoxic due to their ability to impair normal cellular pathways. The authors investigated the genotoxic potential and effects of commonly used synthetic food preservatives, specifically sodium nitrite, potassium sulfate, and hydrogen peroxide.
Read More...Understanding the Relationship Between Perception and Reality Related to Public Safety: A Case Study of Public Opinion on Local Law Enforcement in Andover, MA
A small town with low crime rates and relatively high education levels usually gives the perception of a safe and comfortable community. This study explored the connection between this perception, as defined by public opinion, and reality, as defined by US Census and FBI crime data.
Read More...The influence of purpose-of-use on information overload in online social networking
Here, seeking to understand the effects of social media in relation to social media fatigue and/or overload in recent years, the authors used various linear models to assess the results of a survey of 27 respondents. Their results showed that increased duration of use of social media did not necessarily lead to fatigue, suggesting that quality may be more important than quantity. They also considered the purpose of an individual's social media usage as well as their engagement behavior during the COVID-19 pandemic.
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