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Published May 10, 2021 at 9:58 AM PDT Listen • 18:18 Ashland Family YMCA Mt McLoughlin rises in the distance beyond Lake of the Woods in a view from the YMCA camp.
A Girl Scout camp that had enriched the lives of generations of girls across the region shut down on the shores of Lake of The Woods in the Cascades in 2012. The camp had fallen into disrepair over the years, and the reluctant shutdown put its future very much in doubt.
Enter the DeBoer family of the Lithia Motors dealerships. Sid and Karen DeBoer not only bought the shuttered camp, they donated it to the
Neil Hodgson04:55, May 05 2021
Martin De Ruyter/Stuff
John Esposito with his sons Salvi, holding a Margherita pizza and Vito, holding The Salvito pizza at their pizza bar Salvito s in Hardy St, Nelson.
COLUMN: When John Esposito opened a pizza bar named after his two sons (Salvi and Vito) he was determined to bring authentic Italian flavours that reflect his family’s heritage, and he has done exactly that with spectacular success. The pizzas at Salvito’s are wonderful. The Esposito name will be familiar to many Nelsonians. The family is part of the ‘Little Italy’ group of immigrants who established market gardens on The Wood four generations ago and who made the successful transition to living life in New Zealand with sheer hard work.
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April 28, 2021 Using naturalistic driving data and machine learning techniques, researchers at Columbia University Mailman School of Public Health and Columbia s Fu Foundation School of Engineering and Applied Science have developed highly accurate algorithms for detecting mild cognitive impairment and dementia in older drivers. Naturalistic driving data refer to data captured through in-vehicle recording devices or other technologies in the real-world setting. These data could be processed to measure driving exposure, space and performance in great detail. The findings are published in the journal
Geriatrics.
The researchers developed random forests models, a statistical technique widely used in AI for classifying disease status, that performed exceptionally well. Based on variables derived from the naturalistic driving data and basic demographic characteristics, such as age, sex, race/ethnicity and education level, we could predict mild cognitive impairment an
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