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Winnipeg Humane Society calls for feds to ban live horse exportation

  WINNIPEG The Winnipeg Humane Society is calling on the federal government to put an end the export of live horses overseas to be slaughtered for meat – saying the practice is inhumane. The humane society s outcry is sparked by a video recorded at the James Armstrong Richardson International Airport in the early hours of Feb. 8. The video shows a number of crates containing horses on the tarmac waiting to be loaded on a plane during a cold snap. The video shows a plane taxiing near the crates – which Brittany Semeniuk, the animal welfare consultant for the WHS, said could scare the horses, which have a higher sensitivity to noise than humans.

Winnipeg Humane Society, animal advocates want ban on live horse exports

Winnipeg Humane Society, animal advocates want ban on live horse exports Erin Brohman © Winnipeg Humane Society/Twitter Still image from a video provided to the Winnipeg Humane Society and posted to its Twitter account shows a Korean Air Cargo flight arriving at James Armstrong Richardson International Airport in the early morning hours of Monday, Feb. 8. The Humane Society says the plane left Winnipeg with a cargo of horses, which it says were kept in containers on the tarmac (seen at left beyond plane s nose). The Winnipeg Humane Society wants a ban on the export of live horses after sharing videos online of more than a hundred horses in crates on the Winnipeg airport tarmac before they travelled overseas for slaughter.

Covid 19 update: 11 December 2020

Covid 19 update: 11 December 2020 11 Dec 2020 A round-up of this week s coronavirus-related news and countermeasures from the photonics industry. For Dr Mary-Anne Hartley, a medical doctor and researcher in EPFL’s Intelligent Global Health group (iGH), this past year has been relentless: “It’s not a relaxing time to study infectious diseases,” she said. Since the beginning of the Covid-19 pandemic, Dr Hartley’s research team has been working with nearby Swiss university hospitals on two major projects. Using artificial intelligence, they have developed algorithms that, with data from ultrasound images and auscultation (chest/lung) sounds, can accurately diagnose the novel coronavirus in patients and predict how ill they are likely to become.

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