26 research outputs found

    Insomnovation – Natural Sleep Solutions Business Plan

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    Currently, 70 million Americans suffer from some sort of sleep issues from trouble falling asleep, trouble staying asleep, and daytime drowsiness. However, the sleep solutions on the market today are either highly artificial or only address the symptoms of sleep issues rather than the underlying cause. This is what Insomnovation seeks to address. By providing supplementation to seven key vitamins and minerals, Insomnovation hopes to bring a natural solution to put the issue of sleep disorders to rest

    Insomnovation – Natural Sleep Solutions Business Plan

    Get PDF
    Currently, 70 million Americans suffer from some sort of sleep issues from trouble falling asleep, trouble staying asleep, and daytime drowsiness. However, the sleep solutions on the market today are either highly artificial or only address the symptoms of sleep issues rather than the underlying cause. This is what Insomnovation seeks to address. By providing supplementation to seven key vitamins and minerals, Insomnovation hopes to bring a natural solution to put the issue of sleep disorders to rest

    ELECTROMAGNETIC FIELD SIGNATURES IN THE OPTICAL SPECTRUM

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    Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/72857/1/j.1749-6632.1966.tb50958.x.pd

    Spatiotemporal Analysis with Transformer Neural Networks: PM2.5 Forecasting

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    Air pollution is a potent adversary. Countries still struggle with sparsity of monitoring stations, which creates demand for real-time air quality forecasting. Machine learning algorithms have shown success overcoming challenges of classical prediction model. Currently, these models fail to handle spatiotemporal patterns effectively (McKendry 2002). Inspired by successes in the sequential data processing, we implement and evaluate a Transformer Neural Network as an improved tool for air pollution prediction

    Web-based 3D Smog Visualization for Air Pollution Analysis

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    Data visualization is a powerful tool for discovering relationships in data. Air quality data is one domain where data visualization is important due the features being highly noisy [4]. In air pollution data communication schemes, there is lack of risk perception in how the data is portrayed [6]. The aim of this research is the implementation of a web-based, nonproprietary system for better 3-dimensional (3D) air quality visualization over Joshua Tree National Park

    Ground for Unburied Grapes

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    Lost In Translation: Investigating Translational Repression With Optogenetic RNA Clustering

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    RNA translation is a highly regulated and integral process for all living cells. In recent years, researchers have been investigating the role of phase separated membraneless organelles – where RNA and proteins can co-localized – in translational control. These RNA-protein bodies (RNPs) in and of themselves are a diverse system that plays roles in single cells as well as in developing organisms. While many studies have been conducted on RNPs in vitro, little research has been performed to investigate their linkage with translational regulation in live cells. Here we applied optogenetics to create a controllable RNA-protein clustering system in NIH 3T3 cells to see whether RNP phase separation can regulate translation. We then quantified the translation of a fluorescent reporter in the presence and absence of clustering. The building of this controllable RNA-protein clustering system allows for further investigations into the role of phase separation in RNA translational regulation and development
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