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This focus is selected because of the recent commercial offerings in this regard that have become widely used in many research environments.
The last reason is practical: in many research environments a full-text search system on MEDLINE is already available, making KNN straightforward to implement.
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Although the presented middleware is a first step in the development of middleware systems that deal with the complexity and heterogeneity inherent to hybrid and multi-cloud environments, many research opportunities are left open.
To optimize the digestion benefits in terms of biogas production, waste volume reduction and waste impact on the environment, many research projects have begun in the past 10 years (Mata-Alvarez et al. 2011).
Orione is based on Galaxy (Goecks et al., 2010), an open platform for reproducible data-intensive computational analysis used in many diverse biomedical research environment.
Focus groups are less threatening to many research participants, and provide an environment conducive to the discussion of perceptions, ideas, opinions, and thoughts (Krueger and Casey 2000).
In a view to reduce the cost of production and the harmful destruction of our environment, so many research work has been carried out and still ongoing as to the possibility of using natural fibres for the development of high performance engineering products.
Successfully realizing such applications in a highly mobile environment, however, presents many research challenges.
As a result of what is now a long history of physics education research, many active-learning environments are spreading through the physics community and many research results are becoming available supporting the value of these environments.
Nowadays, there have been many research areas on intelligent systems, autonomous robot in outdoor environments, especially intelligent transportation in outdoor environments, such as in [1, 2, 3].
Recently, many research works proposed a high-level programming environment for designing MPSoC architecture and testing complex image processing systems.
Write better and faster with AI suggestions while staying true to your unique style.
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