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This problem was explored by Medlin (1963), Hamblin (1969), and others.
The phenomenon of large, distributed groups coming up with better answers than individuals working on the same problem was explored in James Surowiecki's 2004 book The Wisdom of Crowds: Why the Many Are Smarter Than the Few.
Neither the duration nor the extent of the problem was explored in this study.
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Solutions to reduce or eliminate this problem were explored.
The problem is explored by Monte Carlo simulations with the maximum likelihood (ML) method.
In this paper, two strategies for tackling this problem are explored.
A critique of Foot's solution to the problem is explored, and the lecture ends with Judith Jarvis Thomson's proposed alternative.
One obvious response to this problem, being explored in Europe, is to make anyone who wants to use such data prove that they've made it impossible to identify individuals within the dataset.
In this article, the principle underlying the self-excited vibration problem is explored, and it is found that the fundamental resonance frequency of the maglev girder plays a vital role in the initiation of the self-excited vibration.
The mathematical framework used in this paper is based on algebraic geometry where the forward kinematic problem is explored in a seven-dimensional kinematic space by the means of the so-called Study parameters.
In this second part of the series, the application of the developed ED model for the partial purification of contaminated water within a water network synthesis (WNS) and optimization problem is explored.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com