Virtual Reality (VR) simulators can offer alternatives for training procedures in the medical field. Most current VR simulators consider single-node contact for interacting with an object to convey displacement and force on a discrete mesh. However, a single-node contact does not closely simulate palpation, which requires a surface made of a multi-node contact to touch a soft object. Thus, we hypothesize that the softness of a deformable object (such as a virtual breast phantom) palpated through a single-node contact would be perceived differently from that of the same phantom palpated through a multi-node contact with various force arrays. We conducted a study to investigate this hypothesis. Using a co-located VR setup that aligns visual and haptic stimuli onto a spatial location, we tested 15 human participants under conditions of both visual and haptic stimuli available and only visual (or haptic) stimulus available. In a trial, each participant palpated and discriminated two virtual breast phantoms of same softness through different contacts with varying force arrays. The results of this study revealed that virtual breast phantoms palpated through a single-node contact were constantly perceived harder than their counterparts palpated through a multi-node contact with varying force arrays, when visual stimuli were available. These results imply a constraint for developing a VR system of training palpation.
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http://dx.doi.org/10.1109/EMBC.2012.6346086 | DOI Listing |
J Hazard Mater
April 2021
Institute of Materials Science and Engineering, National Taipei University of Technology, Taipei 106, Taiwan, ROC. Electronic address:
In this study, a sub-class of microporous crystalline metal organic frameworks (MOFs) with zeolite-like configurations, i.e., zeolitic imidazolate frameworks of single node ZIF-67 and binary nodes ZIF-Co/Zn are used as the supports to develop Cu nanoparticles based nanocatalysts.
View Article and Find Full Text PDFNat Nanotechnol
December 2018
Department of Physics, Stevens Institute of Technology, Hoboken, NJ, USA.
Solid-state single-quantum emitters are crucial resources for on-chip photonic quantum technologies and require efficient cavity-emitter coupling to realize quantum networks beyond the single-node level. Monolayer WSe, a transition metal dichalcogenide semiconductor, can host randomly located quantum emitters, while nanobubbles as well as lithographically defined arrays of pillars in contact with the transition metal dichalcogenide act as spatially controlled stressors. The induced strain can then create excitons at defined locations.
View Article and Find Full Text PDFBioinformatics
March 2018
Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden.
Motivation: Next Generation Sequencing (NGS) technology enables identification of microbial genomes from massive amount of human microbiomes more rapidly and cheaper than ever before. However, the traditional sequential genome analysis algorithms, tools, and platforms are inefficient for performing large-scale metagenomic studies on ever-growing sample data volumes. Currently, there is an urgent need for scalable analysis pipelines that enable harnessing all the power of parallel computation in computing clusters and in cloud computing environments.
View Article and Find Full Text PDFPLoS One
August 2017
University Paris Est, Anses, Laboratory for Animal Health, Epidemiology Unit, Maisons-Alfort, France.
The use of pastures is part of common herd management practices for livestock animals, but contagion between animals located on neighbouring pastures is one of the major modes of infectious disease transmission between herds. At the population level, this transmission is strongly constrained by the spatial organization of pastures. The aim of this study was to answer two questions: (i) is the spatial configuration of pastures favourable to the spread of infectious diseases in France? (ii) would biosecurity measures allow decreasing this vulnerability? Based on GIS data, the spatial organization of pastures was represented using networks.
View Article and Find Full Text PDFBioinformatics
April 2014
Swiss National Supercomputing Centre, Scientific Computing Group, Lugano, Switzerland, Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland, AIT Austrian Institute of Technology, Safety & Security Department, Vienna, Austria, Vital-IT Group, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland, Heidelberg Institute for Theoretical Studies, Scientific Computing Group and Karlsruhe Institute of Technology, Institute for Theoretical Informatics, Karlsruhe, Germany Swiss National Supercomputing Centre, Scientific Computing Group, Lugano, Switzerland, Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland, AIT Austrian Institute of Technology, Safety & Security Department, Vienna, Austria, Vital-IT Group, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland, Heidelberg Institute for Theoretical Studies, Scientific Computing Group and Karlsruhe Institute of Technology, Institute for Theoretical Informatics, Karlsruhe, Germany.
Motivation: The detection of positive selection is widely used to study gene and genome evolution, but its application remains limited by the high computational cost of existing implementations. We present a series of computational optimizations for more efficient estimation of the likelihood function on large-scale phylogenetic problems. We illustrate our approach using the branch-site model of codon evolution.
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