The authors looked at how the presence of difference antibiotic resistance genes would influence antibiotic resistance in Staphylococcus aureus.
Read More...Analysis of antibiotic resistance genes in publicly accessible Staphylococcus aureus genomes
The authors looked at how the presence of difference antibiotic resistance genes would influence antibiotic resistance in Staphylococcus aureus.
Read More...Optimizing tennis strategy: a data-driven analysis of point importance
The authors looked at the importance of different point breakdowns needed to win in a game of tennis.
Read More...A comparison of starches and plasticizers for biopolymer synthesis and degradation
Gender differences in social media, sleep, and cognition in U.S. teens
The authors survey teenagers within the United States regarding the effect of social media use on sleep quality and attention span.
Read More...Penalty kick success is unaffected by direction: Insights from right-footed world-class soccer players
Investigating sustainable insulation materials: Analysis of biofoams and petroleum-derived foams
The authors looked into eco-friendly alternatives for insulating material. They ultimately found that a polyurethane derived from eggshells was an effective insulator and further research into it is warranted.
Read More...Identifying anxiety and burnout from students facial expressions and demographics using machine learning
The authors used machine learning to predict the presence of anxiety and burnout in students based on facial expressions and demographic information.
Read More...Elevated GPx4 and FSP1 expression in MG63 cells: Exploring potential links to drug resistance and ferroptosis
Current osteosarcoma (OS) treatments rely on surgery and chemotherapy, but drug resistance remains a major challenge that lowers patient survival rates. Ferroptosis, a form of regulated cell death, has shown promise in cancer therapy but is not well understood in OS. This study explores the use of Ferroptosis in OS.
Read More...How artificial intelligence deep learning models can be used to accurately determine lung cancers
The authors looked at the ability of different deep learning models to predict the presence of lung cancer from chest CT scans. They found that a pre-trained CNN model performed better than an autoencoder model.
Read More...Crystallization kinetics of vanillin thin films
In this study, the authors investigate the crystallization kinetics of vanillin thin films from a solution or a melt, as well as how a silane coating on the glass surface affects these properties.
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