Default opt-ins and social proof tags effect on decision making in an e-commerce context
Read More...The effect of default opt-ins and social proof tags on high-stake decision-making in an e-commerce context
Default opt-ins and social proof tags effect on decision making in an e-commerce context
Read More...Comparing neural networks with a traditional method for identifying the vanishing points of surgical tools
Robot-assisted minimally invasive surgery (RMIS) benefits from increased precision and faster recovery, with force feedback from the surgical tool being critical for control. Researchers tested the use of neural networks for detecting the vanishing point of the tool, a key element for force feedback.
Read More...School sustainability: The implications of implementing living walls at schools for air purification
The authors compare air quality in the presence and absence of a living wall in a high school hallway in Brooklyn, NY.
Read More...Specialized chicken toys are effective in relieving stagnant egg production for stressed layer hens
The authors looked at egg laying rates in chickens at two different small farms. They found when the chickens were provided homemade, colorful toys in their environment that their egg production rates increased.
Read More...The impact of political ideologies on renewable energy adoption
The authors compare rates of renewable energy adoption between states that historically vote for democrats versus republicans in presidential elections.
Read More...Genetic Bioaugmentation of Oryza sativa to Facilitate Self-Detoxification of Arsenic In-Situ
Arsenic contamination in rice, caused by the use of arsenic-laden groundwater for irrigation, is a growing global concern, affecting over 150 million people. To address this, researchers hypothesized that genetically modifying rice plants with arsenic-resistant genes could reduce arsenic uptake and allow the plants to detoxify arsenic, making them safer to consume.
Read More...Using text embedding models as text classifiers with medical data
This article describes the classification of medical text data using vector databases and text embedding. Various large language models were used to generate this medical data for the classification task.
Read More...A natural language processing approach to skill identification in the job market
The authors looked at using machine learning to identify skills needed to apply for certain jobs, specifically looking at different techniques to parse apart the text. They found that Bidirectional Encoder Representation of Transforms (BERT) performed best.
Read More...Evaluating the antimicrobial activity of maitake mushroom extract against Staphylococcus epidermidis
Here, seeking to explore new antimicrobial therapies, the authors investigated the antimicrobial activity of Maitake mushroom extract against Staphylococcus epidermidis, a common cause of antibiotic resistant hospital-acquired infections. They found that Maitake extract showed potent antimicrobial activity, with higher concentrations showing inhibition comparable to tetracycline.
Read More...SOS-PVCase: A machine learning optimized lignin peroxidase with polyvinyl chloride (PVC) degrading properties
The authors looked at the primary structure of lignin peroxidase in an attempt to identify mutations that would improve both the stability and solubility of the peroxidase protein. The goal is to engineer peroxidase enzymes that are stable to help break down polymers, such as PVC, into monomers that can be reused instead of going to landfills.
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