Machine Learning and Magnetic Data Reveal Hidden Faults and Cobalt Targets in Morocco
A new study combines neural network analysis of aeromagnetic derivatives with 3D magnetic inversion to map hidden fault corridors and ...
A new study combines neural network analysis of aeromagnetic derivatives with 3D magnetic inversion to map hidden fault corridors and ...
A prospective cohort of 396 newly diagnosed patients at a Casablanca tertiary care center reveals widespread late presentation, heavy tuberculosis ...
A mixed-methods study of 150 Moroccan secondary school students finds that ChatGPT dominates their AI use, boosting perceived learning outcomes ...
A new ISSR marker study of 93 Moroccan fig cultivars reveals exceptionally high genetic diversity, with 89 percent of variation ...
A nationwide Moroccan study using the WHO AirQ+ model found that long-term PM2.5 exposure may account for up to 23 ...
A new review consolidates the traditional uses, sesquiterpene chemistry, and laboratory-demonstrated antioxidant, antifungal, and anti-inflammatory activities of Morocco's strictly endemic ...
A new study uses Moroccan smart-meter data and scenario-based stochastic programming to show that planning for forecast uncertainty cuts expected ...
A new Bulletin of Earthquake Engineering study analyzes why adobe, rammed earth, and stone buildings failed so catastrophically in Morocco's ...
Researchers in Casablanca have translated, culturally adapted, and statistically validated the Engaging Leadership Scale for French-speaking Moroccan knowledge workers, producing ...
A five-year community-based podiatric programme assessed 545 people in Morocco and Cameroon, revealing a heavy burden of treatable foot disorders ...
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© 2025 Scienmag - Science Magazine