scholarly journals Editor's Note

2015 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Alberto Raposo
Keyword(s):  
Virtual Reality ◽  
Human Factors ◽  
Compressive Sensing ◽  
Computer Systems ◽  
Three Dimensional ◽  
Special Issue ◽  
Recent Approach ◽  
Dimensional Models ◽  
Three Dimensional Models

The year of 2015 starts with the first issue of JIS dedicated to HCI. The journal was created in 2008, within the scope of the Brazilian Virtual Reality community, and in 2013 and 2014 it made an approximation with the Games and HCI communities, becoming the first periodic in Brazil specifically on these areas. We believe this way the journal may open the door for more interdisciplinary research.This issue contains extended versions of five papers selected among the best full papers of IHC 2014 - XIII Brazilian Symposium on Human Factors in Computer Systems. I would like to thank Carla Leitão, Cristiano Maciel, and Simone Barbosa for their dedication acting as guest editors for this special issue, and invite you to read their editorial in the following.We also have in this issue an original paper by José Paulo de Lima and Helton Bíscaro, entitled "Compressive Representation of Three-dimensional Models''. The authors investigate the applicability of a recent approach to the theory of signs, called Compressive Sensing, to obtain a compressive representation of geometric meshes.I would like to thank the authors and reviewers that contributed to this issue of JIS, and I hope it fulfills your expectations. JIS Editorial Board is looking forward to receiving your contributions.

scholarly journals Editors’ Note

2017 ◽  
Vol 8 (2) ◽  
pp. 1
Author(s):  
Alberto Raposo ◽  
Cléber Corrêa
Keyword(s):  
Virtual Reality ◽  
Human Factors ◽  
Virtual Environments ◽  
Peer To Peer ◽  
Medical Procedures ◽  
Conference Program ◽  
Special Issue ◽  
Collaborative Virtual Environments ◽  
Computing Systems

It is our pleasure to introduce you the second issue of JIS in 2017. This issue contains six papers of the Special Issue of the 15th Brazilian Symposium on Human Factors in Computing Systems (IHC 2016). As we have been doing since IHC 2014, the best papers of the conference are invited to submit extended versions to a special issue of JIS, guest edited by the conference program chairs. In the current publication, our guest editors are Profs. Carla Leitão, from Pontifícia Universidade Católica - Rio de Janeiro (PUC-Rio), and Luciana Salgado, from Universidade Federal Fluminense (UFF), who we thank a lot for the dedication in the preparation of this issue. We invited you to read their editorial in the following.We also have in this issue an original paper by Paulo Paiva, Liliane Machado, Jauvane de Oliveira, and Ronei de Moraes, entitled “Networking Issues for 3D Medical Collaborative Virtual Environments: Design and Applications”. The authors discuss specific networking issues for Collaborative Virtual Environments (CVEs) applied to the simulation of medical procedures. They designed, developed, and validated a peer-to-peer multicast architecture on the collaborative module of the CyberMed Virtual Reality framework, aiming at providing better network scalability.Finally, we would like to thank the authors and reviewers that contributed to JIS. At the end of the issue we acknowledge the reviewers that contributed to JIS in 2015, 2016, and 2017.JIS Editorial Board is looking forward to receiving your contributions. We hope you enjoy reading this issue!

Ergonomic Provisions of the Shelter's Safety at the Chernobyl Nuclear Power Plant

1998 ◽  
Vol 42 (10) ◽  
pp. 740-744
Author(s):  
Gennady E. Zhuravlyov
Keyword(s):  
Virtual Reality ◽  
Human Factors ◽  
Nuclear Power ◽  
Three Dimensional ◽  
Training Needs ◽  
Chernobyl Nuclear Power Plant ◽  
Psychological Training ◽  
Shelter Workers ◽  
Three Dimensional Models ◽  
Traffic Organization

This paper outlines the main Human Factors/Ergonomic tasks to be solved to enhance the safety of the Shelter (Sarcophagus) of the Chernobyl Nuclear Power Plants's destroyed Unit #4 during current maintanance and forthcoming reconstruction as were observed during our visit to this site. The convential Human Factors problems are connected to personnel activities such as: traffic organization, radiation cartography, communications, monitoring of the personnel activity inside the Shelter, protective clothes, instruments, illumination, and ventilation. Macroergonomic problems include: uncertainty, risk to health, and high technical level of instruments and equipment used. Shelter workers have to assimilate many different professions and the scope of their training needs to be very large. Both situational and spatial uncertainties of the Shelter set special training problems. Three dimensional models and virtual reality tools are needed to help in solve these problems. Psychological training should also be conducted. The investigation was performed within the framework of cooperation between Russian an American ergonomists (Parsons et al. 1992).

3DMAP-VR, A Project to Visualize Three-dimensional Models of Astrophysical Phenomena in Virtual Reality

2019 ◽  
Vol 3 (11) ◽  
pp. 176
Author(s):  
Salvatore Orlando ◽  
Ignazio Pillitteri ◽  
Fabrizio Bocchino ◽  
Laura Daricello ◽  
Laura Leonardi
Keyword(s):  
Virtual Reality ◽  
Three Dimensional ◽  
Dimensional Models ◽  
Three Dimensional Models ◽  
Astrophysical Phenomena

scholarly journals Compressive Representation of Three-dimensional Models

2015 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Helton Hideraldo Bíscaro ◽  
José Paulo Lima
Keyword(s):  
Compressive Sensing ◽  
Processing Speed ◽  
Measurement Techniques ◽  
Three Dimensional ◽  
Mesh Compression ◽  
Processing Times ◽  
Recent Approach ◽  
Recent Developments ◽  
3D Scanners ◽  
Three Dimensional Models

Due to recent developments in data acquisition mechanisms, called 3d scanners, mesh compression has become an important tool for manipulating geometric data in several areas. In this context, a recent approach to the theory of signs called Compressive Sensing states that a signal can be recovered from far fewer samples than those provided by the classical theory. In this paper, we investigate the applicability of this new theory with the purpose of to obtain a compressive representation of geometric meshes. We developed an experiment which combines sampling, compression and reconstruction of various mesh sizes. Besides figuring compression rates, we also measured the relative error between the original mesh and the recovered mesh. We also compare two measurement techniques through their processing times, which are: the use of Gaussian matrices; and the use of Noiselet matrices. Gaussian matrices performed better in terms of processing speed, with equivalent performance in compression capacity. The results indicate that compressive sensing is very useful for mesh compression showing quite comparable results with traditional mesh compression techniques.

Plastic replicas as three-dimensional models of pulps

1975 ◽  
Vol 39 (8) ◽  
pp. 544-546
Author(s):  
HL Wakkerman ◽  
GS The ◽  
AJ Spanauf
Keyword(s):  
Three Dimensional ◽  
Dimensional Models ◽  
Three Dimensional Models

In Silico Identification and Molecular Characterization of Extracellular Cathepsin L Proteases from Giardia duodenalis

2020 ◽  
Vol 17 (4) ◽  
pp. 342-351
Author(s):  
Sergio A. Durán-Pérez ◽  
José G. Rendón-Maldonado ◽  
Lucio de Jesús Hernandez-Diaz ◽  
Annete I. Apodaca-Medina ◽  
Maribel Jiménez-Edeza ◽  
...  
Keyword(s):  
In Silico ◽  
Cathepsin L ◽  
Three Dimensional ◽  
Giardia Duodenalis ◽  
Evolutionary Genetics ◽  
Extracellular Proteins ◽  
In Silico Identification ◽  
Dimensional Models ◽  
Three Dimensional Models

Background: The protozoan Giardia duodenalis, which causes giardiasis, is an intestinal parasite that commonly affects humans, mainly pre-school children. Although there are asymptomatic cases, the main clinical features are chronic and acute diarrhea, nausea, abdominal pain, and malabsorption syndrome. Little is currently known about the virulence of the parasite, but some cases of chronic gastrointestinal alterations post-infection have been reported even when the infection was asymptomatic, suggesting that the cathepsin L proteases of the parasite may be involved in the damage at the level of the gastrointestinal mucosa. Objective: The aim of this study was the in silico identification and characterization of extracellular cathepsin L proteases in the proteome of G. duodenalis. Methods: The NP_001903 sequence of cathepsin L protease from Homo sapienswas searched against the Giardia duodenalisproteome. The subcellular localization of Giardia duodenaliscathepsin L proteases was performed in the DeepLoc-1.0 server. The construction of a phylogenetic tree of the extracellular proteins was carried out using the Molecular Evolutionary Genetics Analysis software (MEGA X). The Robetta server was used for the construction of the three-dimensional models. The search for possible inhibitors of the extracellular cathepsin L proteases of Giardia duodenaliswas performed by entering the three-dimensional structures in the FINDSITEcomb drug discovery tool. Results: Based on the amino acid sequence of cathepsin L from Homo sapiens, 8 protein sequences were identified that have in their modular structure the Pept_C1A domain characteristic of cathepsins and two of these proteins (XP_001704423 and XP_001704424) are located extracellularly. Threedimensional models were designed for both extracellular proteins and several inhibitory ligands with a score greater than 0.9 were identified. In vitrostudies are required to corroborate if these two extracellular proteins play a role in the virulence of Giardia duodenalisand to discover ligands that may be useful as therapeutic targets that interfere in the mechanism of pathogenesis generated by the parasite. Conclusion: In silicoanalysis identified two proteins in the Giardia duodenalisprotein repertoire whose characteristics allowed them to be classified as cathepsin L proteases, which may be secreted into the extracellular medium to act as virulence factors. Three-dimensional models of both proteins allowed the identification of inhibitory ligands with a high score. The results suggest that administration of those compounds might be used to block the endopeptidase activity of the extracellular cathepsin L proteases, interfering with the mechanisms of pathogenesis of the protozoan parasite Giardia duodenalis.

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