1,721,114 research outputs found
A virtual reality based telelaboratory for the remote learning of robotics
No full textIn the present work, a virtual reality system, used in the framework of a web-based educational tool, is presented. Such tool, called VRL, can be used as a support for active learning of robotics in a web-learning environment. VRL guarantees forms of flexible learning, and couples virtual reality experiments, obtained through the integration of Matlab and Shockwave technology, and remote lab experiments, in order to allow a preliminary verification of theoretical concepts without the risks of damaging the remote experimental device
Thrombosed external haemorrhoids: A clinician’s dilemma
Full text linkHaemorrhoids are highly vascular submucosal cushions that underlie the distal rectal mucosa and contribute approximately
15-20% of the resting anal pressure, ensuring complete closure of the anal cana
Comparison between specific and nonspecific assay in the evaluation of the anticoagulant effect of the Direct Oral Anticoagulants : Our experience in a cardiovascular hospital
No full textData set from the article Prinzivalli M, Sammarco G, Rampoldi B, Costa E, Corsi Romanelli MM. Comparison between specific and nonspecific assay in the evaluation of the anticoagulant effect of the Direct Oral Anticoagulants: Our experience in a cardiovascular hospital. Eur J Intern Med. 2019;60:e20‐e22. doi:10.1016/j.ejim.2018.10.00
VRL, a novel environment for control engineering practicing: An application to a fault tolerant Control system
No full textVirtual remote laboratory (VRL) is a powerful tool for an effective active learning in control engineering formation because it gives the opportunity of testing remotely control laws both by simulations within a virtual reality framework and by remote experiments. In this paper the virtual environment VRL is described and an application of a fault tolerant control law on an inverted pendulum is show
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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