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Enhancing Programming Education: Initiative Aims to Develop Better Teaching Materials for SQL Language

Learning a new computer language is a discipline in its own right, as is evident from the doctoral research of TU/e computer scientist Daphne Miedema. In a world of ones and zeros, students are quick to get the grasp of familiar programming languages
United States Daphne Miedema Department Of Mathematics Human Technology Interaction Computer Science Friday January

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Optimizing BHA and fluid selection with a machine learning-based drilling system recommender

An innovative digital solution prepares an operational database and stores performance results of drill bits, motor power sections, RSS, BHA configurations and drilling fluids. After parameters of a planned drilling run are set, a multidimensional distance-based approach selects similar previous drilling runs for analysis. The process enables rational technology selection recommendations.
New York United States Fatma Mahfoudh Sergey Makarychew Mikhailov Greg Skoff Cheolkyun Jeong

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