The authors test various machine learning models to improve the accuracy and efficiency of pneumonia diagnosis from X-ray images.
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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.
Read More...Remote Work in the United States: Sectoral Analysis of Salary Trends
Identifying shark species using an AlexNet CNN model
The challenge of accurately identifying shark species is crucial for biodiversity monitoring but is often hindered by time-consuming and labor-intensive manual methods. To address this, SharkNet, a CNN model based on AlexNet, achieved 93% accuracy in classifying shark species using a limited dataset of 1,400 images across 14 species. SharkNet offers a more efficient and reliable solution for marine biologists and conservationists in species identification and environmental monitoring.
Read More...Synthesis of sodium alginate composite bioplastic films
The authors looked at the development of biodegradable bioplastic and its features compared to PET packaging films. They were able to develop a biodegradable plastic with sodium alginate that dissolved in water and degrade in microbial conditions while also being transparent and flexible similar to current plastic films.
Read More...The impact of culturally informed music therapy on visually impaired youth: A Jaffna, Sri Lanka study
The authors looked at the effect of music therapy on visually impaired youth. They found that culturally relevant curricula is an important consideration while also showing that broadly music therapy enhances working memory, emotional well-being and inhibitory control.
Read More...Impacts of the gut microbiota on arginine synthesis
In this article the authors looked at arginine synthesis across different bacteria commonly found in different regional diets. They found that B. megaterium and C. sporogenes both caused a higher pH to occur on their agar plates compared to other bacteria tested indicating a greater amount of arginine synthesis.
Read More...The effects of age on quality of mental health during the COVID-19 pandemic
The impact of age on mental health is a crucial yet understudied aspect of public health. While mental health is gaining recognition as a vital component of overall well-being, its correlation with age remains largely unexplored. In Canada, where the median age has risen significantly over the past half-century, understanding this relationship becomes increasingly pertinent. Researchers hypothesized that older adults would exhibit lower rates of mental health disorders and report better perceived mental health due to increased emotional stability and maturity.
Read More...Evaluating the clinical applicability of neural networks for meningioma tumor segmentation on 3D MRI
Authors emphasize the challenges of manual tumor segmentation and the potential of deep learning models to enhance accuracy by automatically analyzing MRI scans.
Read More...Unveiling the wound healing potential of umbilical cord derived conditioned medium: an in vitro study
Chronic wounds pose a serious threat to an individual’s health and quality of life. However, due to the severity and morbidity of such wounds, many pre-existing treatments are inefficient or costly. While the use of skin grafts and other such biological constructs in chronic wound healing has already been characterized, the use of umbilical cord tissue has only recently garnered interest, despite the cytokine-rich composition of Wharton’s jelly (cord component). Our current study aimed to characterize the use of an umbilical cord derived conditioned medium (UC-CM) to treat chronic wounds.
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