Nicotine and caffeine withdrawal can cause unnecessary suffering to patients in intensive care units (ICUs), and could be leading to unneeded laboratory testing and diagnostic imaging such as X-rays and MRIs, according to a systematic review of clinical and observational studies involving 483 adults.
* This article was originally published here
Sunday, 2 June 2019
Smoke from Canadian wildfires drifts into 5 US states
Smoke from large wildfires in Canada's Alberta province has drifted into five U.S. states and is causing haze and air quality issues.
* This article was originally published here
* This article was originally published here
Outsmarting deep fakes: AI-driven imaging system protects authenticity
To thwart sophisticated methods of altering photos and video, researchers at the NYU Tandon School of Engineering have demonstrated an experimental technique to authenticate images throughout the entire pipeline, from acquisition to delivery, using artificial intelligence (AI).
* This article was originally published here
* This article was originally published here
Wrong side surgical errors substantially underreported and totally preventable
Performing a procedure on the wrong side of a patient's body, although rare, may be more common than generally thought. More than 80 wrong side error (WSE) incidents were reported across 100 hospitals in Spain over the past decade, according to new research being presented at this year's Euroanaesthesia Congress (the annual meeting of the European Society of Anaesthesiology) in Vienna, Austria (1-3 June).
* This article was originally published here
* This article was originally published here
Atlantic hurricane season begins after three years of big storms
The 2019 Atlantic hurricane season begins Saturday, and authorities are warning coastal residents to stock up on supplies and remain vigilant after a spate of intense storms in recent years.
* This article was originally published here
* This article was originally published here
A deep neural network that can maximize or minimize coloring to blend into or stand out against a background
A team of researchers at the University of Bristol has developed a deep learning neural network that can identify the best way to minimize or maximize coloring to allow for blending into a background or standing out. In their paper published in Journal of the Royal Society Interface, the team describes their network and possible uses for it.
* This article was originally published here
* This article was originally published here
Is it fatigue or a stroke? Women shouldn't ignore these warning signs
Stroke is a leading cause of death and disability in the U.S., and women make up nearly 60% of all stroke deaths.
* This article was originally published here
* This article was originally published here
New organic flow battery brings decomposing molecules back to life
After years of making progress on an organic aqueous flow battery, Harvard University researchers ran into a problem: the organic anthraquinone molecules that powered their ground-breaking battery were slowly decomposing over time, reducing the long-term usefulness of the battery.
* This article was originally published here
* This article was originally published here
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