The Practice and Thoughts about Accreditation of Minerals Processing Engineering Program [PDF]
The Practice and Thoughts about Accreditation of Minerals Processing Engineering Program Yuemin Zhao , Youjun Tao , Guangyuan Xie School of Chemical Engineering and Technology, China University of Mining & Technology, Xuzhou, Jiangsu 221116ABSTRCT: The professional status and characteristics of the minerals processingengineering program at the China ...
Yue-min Zhao, You-jun Tao
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Discussion on the Teaching of “Metallic Mineral Processing” for Mineral Processing Engineering
Social economic growth and the increasing demand for mineral resources have promoted the development of metallic mineral processing technology. Therefore, in order to satisfy the demands for development in mining, cultivating comprehensive mineral processing engineering professionals with strong innovative practical skills has become the top priority ...
Jiushuai Deng, Hongxiang Xu
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Practicing education of the mineral processing engineering discipline in Henan Polytechnic University [PDF]
A plan for national education to train outstanding engineers has been put into practice at Henan Polytechnic University (HPU).
Cheng Gan +5 more
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Cultivating Innovative Talents of Mineral Processing Engineering Based on the Advantage of National Key Discipline [PDF]
Cultivating Innovative Talents of Mineral Processing Engineering Based on the Advantage of National Key Discipline Youjun Tao*, Guangyuan Xie, Yali Kuang School of Chemical Engineering and Technology, China University of Mining & Technology, Xuzhou, Jiangsu 221116ABSTRCT: The importance of innovative personnel training for mineral processingengineering
Yue-min Zhao, Yue-min Zhao
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EMJM PROMISE—The New International Erasmus Mundus Joint Master in Sustainable Mineral and Metal Processing Engineering [PDF]
AbstractThe challenge of attracting young people to the field of mineral processing as well as the ever-growing worldwide demand for minerals and metals together with lower-grade deposits and shortages of energy and water triggered the establishment of the new Erasmus Mundus Joint Master Program PROMISE.
Wolfgang Öfner +5 more
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Development of STEM Educational Application with Easy Java Simulation in Mining & Metallurgical Engineering—Case Study on Mineral Processing [PDF]
Although there is a widely expressed need for the adoption of new didactic approaches that promote the active participation of learners, especially in tertiary-level education, research endeavors in this topic are limited. Seeking to contribute to the limited research activity on the application of innovative educational applications in university ...
Kyriakos Syrmakezis +2 more
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Chemistry Education in Talent Training of Mineral Processing Engineering Disciplines Paper
In mineral processing engineering disciplines, flotation, as a primary beneficiation method, is performed on the basis of surface chemical properties of minerals and rocks. The surface chemistry of minerals and rocks can be artificially changed to achieve minerals flotation separation.
Shuming Wen, Haiying Shen
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The Innovative Study of the Function of Bilingual Teaching in Cultivating Professional Talents of Mineral Processing Engineering [PDF]
Cultivating bilingual talents is the demand of the development of higher education internationalization. Bilingual teaching is a significant measure of China's higher education reform under the new situation. Mineral processing engineering is an important research direction in mining engineering discipline and plays an important role in cultivating ...
Xie Weiwei
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In 2021, Queen’s University partnered with BBA Engineering Consultants to build a full-scale, virtual reality copper sulphide mineral processing plant. This project, financially support by e-Campus Ontario, aims to prepare Ontario post-secondary institutions to increase their training capacity in mineral processing to meet projected labour demands. The
Charlotte E. Gibson +6 more
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Multivariate image processing in minerals engineering with vision transformers
Vision transformers (ViTs) are a new class of deep learning algorithms that have recently emerged as a competitive alternative to convolutional neural networks. In this investigation, their application to two operations previously studied in the mineral processing industry is considered.
Xiu Liu, Chris Aldrich
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