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ENN ENN ENN Environmental News Network -- Know Your Environment
03
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  • Agricultural Pickers in US to See Unsafely Hot Workdays Double by 2050

    The average picker now experiences 21 days each year when the daily heat index — a mix of air temperature and humidity — would exceed workplace safety standards.

    >> Read the Full Article
  • Experts at UTHealth Successfully Treat Severe Case of COVID-19 in 3-Week-Old Infant

    In one of the first reported cases of its kind, a 3-week-old infant in critical condition recovered from COVID-19 due to rapid recognition and treatment by physicians from McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth).

    >> Read the Full Article
  • Variation in How Side Effects Are Reported Leaves First Impressions of New Anti-Cancer Drugs Open to Manipulation

    An important goal of early-phase clinical trials is to discover a drug’s possible side effects. 

    >> Read the Full Article
  • AGS COVID-19 Policy Brief Offers Roadmap to Government Action in Oft-Overlooked Sphere: Assisted Living Facilities

    In a policy brief published today in its namesake journal (DOI: 10.1111/jgs.16510), the American Geriatrics Society (AGS) offered a roadmap to guide federal, state, and local governments addressing COVID-19 concerns in an important but oft-overlooked arena: Assisted living facilities (ALFs). 

    >> Read the Full Article
  • Detecting Toxic PFAS with a Chip-Sized Sensor

    PNNL has patented an accurate and portable way to detect miniscule amounts of an extremely persistent toxic chemical that accumulates in our bodies and our environment.

    >> Read the Full Article
  • Spillover Warning: How We Can Prevent The Next Pandemic

    As the novel coronavirus has emerged and spread around the globe, science writer David Quammen has not been surprised.

    >> Read the Full Article
  • Training Instance Segmentation Neural Network With Synthetic Datasets for Seed Phenotyping

    A team of scientists led by Yosuke Toda, Designated Assistant Professor at the Institute of Transformative Bio-Molecules (WPI-ITbM), Nagoya University, and Fumio Okura, Assistant Professor at the Institute of Scientific and Industrial Research,Osaka University, have developed a system which utilizes image analysis and artificial intelligence (AI) to automatically and precisely analyze the shape of large numbersof seeds from a single image. As the shape of the seed is an important agronomic trait that is closely linked to the yield and quality of crops, a method for automatically determining and evaluating suchfrom an image is an indispensable tool for plant breeding. However, creating the training dataset is laborious and time consuming, especially when the number of objects to annotate is as large as it is in the case of seeds. To date,it has been difficult to quickly and conveniently analyze the number of seeds of different crop species at once.

    >> Read the Full Article
  • Traffic Officer Protein Governs Speed Of Sugar/Fat Conversion Pathway

    Scientists in Texas and Pennsylvania have identified a protein sensor that restricts how much sugar and fat our cells convert into energy during periods of starvation.

    >> Read the Full Article
  • Before the Next Pandemic, an Ambitious Push to Catalog Viruses in Wildlife

    As the world reels from a global viral wildfire costing hundreds of thousands of lives and trillions of dollars, epidemiologists are turning their attention to how best to prevent the next pandemic.

    >> Read the Full Article
  • UArizona Tracking Coronavirus Through Wastewater Across US

    As the spread of the new coronavirus continues, researchers at the University of Arizona Water and Energy Sustainable Technology Center are using municipal wastewater to monitor the incidence of the virus in communities across the United States.

    >> Read the Full Article

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