Deep-sea mining risks leads study to urge shift to circular solutions
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Updates every hour. Last Updated: 8-May-2025 20:09 ET (9-May-2025 00:09 GMT/UTC)
Deep sea mining operations are expected to increase the negative impact on environmental indicators by up to 13 per cent, a change categorized as having “great” significance, relative to the “without” DSM scenario, the study published in PLOS One said, notably through increased coastal vulnerability, pollution, and biodiversity loss.
McGill University researchers have developed an AI-powered method to verify the origin of honey, ensuring that what’s on the label matches what’s in the jar. The breakthrough offers a potential solution to a long-standing problem.
“Honey is one of the most fraud-prone commodities in global trade. It often involves mislabelling where it was produced or the types of flowers that bees collected nectar from,” said lead author Stéphane Bayen, Associate Professor and Chair of McGill’s Department of Food Science and Agricultural Chemistry.
A new study led by Professor Sayaka Nakamura from Sophia University in Japan and Professor Shiko Maruyama from Jinan University in China published in the journal Health Economics reveals the significant positive impact of the Japanese school lunch program on the weight of early teenagers. The research, titled "Wholesome Lunch to the Whole Classroom: Short- and Longer-Term Effects on Early Teenagers’ Weight," found that the program effectively reduces Body Mass Index (BMI), Percent Overweight (POW), and obesity rates, particularly among students from lower socioeconomic backgrounds.
A groundbreaking study from East China Normal University has leveraged AI to analyze classroom teaching patterns across China, revealing that teacher-centered instruction still dominates. This research utilizes a sophisticated AI-powered classroom intelligent analysis system to assess 1,008 recorded Chinese language classes spanning nine grade levels. Usage of AI enables effective systematic analysis of large volumes of classroom data, reducing time and human intervention.
The increasing prevalence of myopia is a global health concern, with high myopia increasing the risk of vision damage. This necessitates the use of artificial intelligence (AI) for early diagnosis, prevention, and management of myopia. Now, a Pediatric Investigation review sheds light on potential applications of AI in the early identification, risk assessment, and prevention of myopia. It further highlights the challenges and current development status of AI technology in the field of myopia.