>> Oxygen Diffusion Modeling – Kartika Yulianti
Oxygen Diffusion Modeling
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Oxygen Diffusion Modeling
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Perhaps many are astonished and still wonder why there should be cadreization in every organization. Whether it’s in organizations on campus or community organizations must have a system called cadreization. What is the importance of cadreization to the organization? Cadreization can be likened to the heart of an organizational system, without cadreization it can
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One of the causes of enacted curriculum is technological advancement. In the United States (US) it has been felt since the second world war that it lacks people who can handle cutting-edge weapons and war tools such as rockets, radars and others. The launch of the first Sputnik by Russia (a major US competitor) in
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There’s one question that’s been raised since I became a student three decades ago: What does teaching good math look like? There are indeed many people who talk about the various criteria of good math teachers. However, until now no one has ever shown such a teacher figure. How do we understand the conception of
By: Asep Sapa’at, S.Pd. “Sitting still in a confined place is one of the most severe punishments that can be imposed on man. But this is what we often do to our students in class” (Edward T. Hall) Man’s greatest specialty when compared to other beings lies in his ability to think as a cultured
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By: Asep Sapa’at, S. Pd. Teachers as teachers, ordinary things. Teacher as a learner agent, it’s just amazing. Why would a teacher as a learner’s agent be something extraordinary? This question becomes very interesting if we try to first look at the analysis from Prof. Masaaki Sato, an education expert from Japan, about the educational
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Title: SINGULARLY PERTURBATED CONSERVATIVE SYSTEM By : Fajar Adi Kusumo Abstract: In mathematical modeling on global climate issues known ultra-low Frequency Variability (ULFV) models. This model is derived from the Navier-Stokes equation which describes the interaction between weather patterns measured in sub-tropical regions over a long period of time (years). Using datasets obtained from the
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Published in Journal of Infinity STKIP Siliwangi Bandung Vol 3, No.2, September 2014 By: Dewi Rachmatin (dewirachmatin@upi.edu) FPMIPA UPI Mathematics Education Courses Abstract Cluster Analysis is a data grouping analysis that groups data based on the information found in the data. The purpose of cluster analysis is for objects in one group to have similarities