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Submission + - New York Budget Deal Includes 'Bell-To-Bell' School Cellphone Ban (cbsnews.com)

An anonymous reader writes: New York Gov. Kathy Hochul says a $254 billion state budget deal has been reached, including a "bell-to-bell" school cellphone ban. [...] The distraction-free policy would take effect next school year, making New York the largest state in the country with a "bell-to-bell" cellphone ban. Hochul says the plan will help protect children from addictive technology and improve their mental health. The New York State United Teachers union also came out in support of the ban, saying "we are at a crisis point."

The governor previously outlined the proposal back in January, saying it would ban the use of smartphones and other internet-enabled devices on school grounds during the school day. That includes classroom time, lunch and study hall periods. "A bell-to-bell ban, morning until the day is over, is not going to hurt your kids. It's going to help them emerge with stronger mental health and resiliency," she told CBS News New York at the time.

Hochul said the ban would include smartphones and other personal "smart" devices, like smartwatches. Exemptions could be made if a student requires a device to manage a medical condition or for translation purposes. Cellphones that don't have internet capability and devices that are provided by the school for lesson plans would still be allowed. The proposal would let individual schools come up with their own ways to implement the ban and store the devices, and schools would be able to decide whether to have students leave them in things like pouches, lockers or cubbies. It would also require schools to make sure parents have a way to contact their children during the day, if needed.

Submission + - H-1B DATA MEGA-THREAD (threadreaderapp.com)

schwit1 writes: I downloaded five years of H-1B data from the US DOL website (4M+ records) and spent the day crunching data.

I went into this with an open mind, but, to be honest, I'm now *extremely* skeptical of how this program works.

Here's what I found

Lots to dig through, most of it damning.

Exit quote: “You can see where I’m going with this. A casual perusal of the data shows that this isn’t a program for the top 0.1% of talent, as it’s been described. This is simply a way to recruit hundreds of thousands of relatively lower-wage IT and financial services professionals.”

Submission + - YouTube Launches Communities, a Discord-Like Space For Creators and Fans (techcrunch.com)

An anonymous reader writes: At its Made On YouTube event on Wednesday, the company announced a new dedicated space for creators to interact with their fans and viewers. The space, called “Communities,” is kind of like a Discord server built into a creator’s channel. With Communities, YouTube is hoping creators won’t need to use other platforms like Discord or Reddit in order to interact with viewers. Communities are a space for viewers to post and interact with other fans directly within a creator’s channel. In the past, viewers have been limited to leaving comments on a creator’s video. Now, they can share their own content in a creator’s Community to interact with other fans over shared interests. For instance, a fitness creator’s Community could include posts from fans who are sharing videos and photos from their most recent hike.

To start, the feature is only available to subscribers. The company sees Communities as a dedicated space for conversation and connection, while still allowing creators to maintain control over their content. Conversations in Communities are meant to flow over time, YouTube says, as they would in any other forum-style setting. The new Communities feature shouldn’t be confused with YouTube’s Community feature, which is a space for creators to share text and images with viewers. The feature launched back in 2016, and doesn’t allow viewers to interact with each other. YouTube is testing Communities now on mobile devices with a small group of creators. The company plans to test the feature with more creators later this year before expanding access to additional channels in early 2025.

Submission + - AI Tool Cuts Unexpected Deaths In Hospital By 26%, Canadian Study Finds (www.cbc.ca)

An anonymous reader writes: Inside a bustling unit at St. Michael's Hospital in downtown Toronto, one of Shirley Bell's patients was suffering from a cat bite and a fever, but otherwise appeared fine — until an alert from an AI-based early warning system showed he was sicker than he seemed. While the nursing team usually checked blood work around noon, the technology flagged incoming results several hours beforehand. That warning showed the patient's white blood cell count was "really, really high," recalled Bell, the clinical nurse educator for the hospital's general medicine program. The cause turned out to be cellulitis, a bacterial skin infection. Without prompt treatment, it can lead to extensive tissue damage, amputations and even death. Bell said the patient was given antibiotics quickly to avoid those worst-case scenarios, in large part thanks to the team's in-house AI technology, dubbed Chartwatch. "There's lots and lots of other scenarios where patients' conditions are flagged earlier, and the nurse is alerted earlier, and interventions are put in earlier," she said. "It's not replacing the nurse at the bedside; it's actually enhancing your nursing care."

A year-and-a-half-long study on Chartwatch, published Monday in the Canadian Medical Association Journal, found that use of the AI system led to a striking 26 percent drop in the number of unexpected deaths among hospitalized patients. The research team looked at more than 13,000 admissions to St. Michael's general internal medicine ward — an 84-bed unit caring for some of the hospital's most complex patients — to compare the impact of the tool among that patient population to thousands of admissions into other subspecialty units. "At the same time period in the other units in our hospital that were not using Chartwatch, we did not see a change in these unexpected deaths," said lead author Dr. Amol Verma, a clinician-scientist at St. Michael's, one of three Unity Health Toronto hospital network sites, and Temerty professor of AI research and education in medicine at University of Toronto. "That was a promising sign."

The Unity Health AI team started developing Chartwatch back in 2017, based on suggestions from staff that predicting deaths or serious illness could be key areas where machine learning could make a positive difference. The technology underwent several years of rigorous development and testing before it was deployed in October 2020, Verma said. Dr. Amol Verma, a clinician-scientist at St. Michael’s Hospital who helped lead the creation and testing of CHARTwatch, stands at a computer. "Chartwatch measures about 100 inputs from [a patient's] medical record that are currently routinely gathered in the process of delivering care," he explained. "So a patient's vital signs, their heart rate, their blood pressure ... all of the lab test results that are done every day." Working in the background alongside clinical teams, the tool monitors any changes in someone's medical record "and makes a dynamic prediction every hour about whether that patient is likely to deteriorate in the future," Verma told CBC News.

Science

Submission + - Prehistoric Garbage Piles Created 'Tree Islands' (sciencemag.org)

sciencehabit writes: Piles of garbage left by humans thousands of years ago may have helped form "tree islands" in the Florida Everglades--patches of relatively high and dry ground that rise from the wetlands. They stand between 1 and 2 meters higher than the surrounding landscape, can cover 100 acres or more, and host two to three times the number of species living in the surrounding marsh. Besides providing habitat for innumerable birds, the islands offer refuge for animals such as alligators and the Florida panther during flood season. The trash piles—a mix of discarded food, charcoal, shell tools, and broken pottery—would have been slightly higher and drier than the surrounding marsh, offering a foothold for trees, shrubs, and other vegetation.

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