scholarly journals 3D Visualizations of Multiple Coronaviruses on Whole Genomes

2021 ◽  
Author(s):  
Zhongwei Zhang ◽  
Tingyan Duan ◽  
Jeffrey Zheng
Keyword(s):  
3D Visualization ◽  
Metagenomic Analysis ◽  
Visualization Method ◽  
Viral Genomes ◽  
Whole Genomes ◽  
The World ◽  
Gene Technologies ◽  
Analysis System ◽  
2D And 3D

Abstract COVID-19 triggered by SARS-CoV-2 has become a common problem faced by people all over the world. With the development of bioinformatics and the breakthrough progress of gene technologies. It is a challenging topic to use genomic datasets for SARS-CoV-2 research. In this paper, a 3D visualization method is pro-posed to show the A9 module of the metagenomic analysis system MAS. Seven coronaviruses of genera were illustrated and briefly analyzed. Comparing the visualization results, various SARS-CoV-2 genomes were represented as 2D and 3D maps under different conditions. Through related specific projections, the characteristics of the coronavirus can be observed intuitively from the projection results to provide an effective viewpoint for studying viral genomes.

scholarly journals 3D Visualizations of Multiple Coronaviruses on Whole Genomes

2020 ◽  
Author(s):  
Zhongwei Zhang ◽  
Tingyan Duan ◽  
Jeffrey Zheng
Keyword(s):  
3D Visualization ◽  
Metagenomic Analysis ◽  
Visualization Method ◽  
Viral Genomes ◽  
Whole Genomes ◽  
The World ◽  
Gene Technologies ◽  
Analysis System

Abstract COVID-19 triggered by SARS-CoV-2 has become a common problem faced by people all over the world. With the development of bioinformatics and the breakthrough progress of gene technologies. It is a challenging topic to use genomic datasets for SARS-CoV-2 research. In this paper, a 3D visualization method is proposed to show the A9 module of the metagenomic analysis system MAS. Seven coronaviruses of genera were illustrated and briefly analyzed. Comparing the visualization results, various SARS-CoV-2 genomes were represented as 2D & 3D maps under different conditions. Through related specific projections, the characteristics of the coronavirus can be observed intuitively from the projection results to provide an effective viewpoint for studying viral genomes.

Alternative 2D and 3D Visualization Methods for Microsurgery: Posture, Performance, and Discomfort Analysis

2011 ◽  
Author(s):  
Denny Yu ◽  
Michael Sackllah ◽  
Charles Woolley ◽  
Steven Kasten ◽  
Thomas J. Armstrong
Keyword(s):  
3D Visualization ◽  
2D And 3D

scholarly journals Subsurface investigations of landslides using geophysical methods : geoelectrical applications in the Swabian Alb (Germany)

2006 ◽  
Vol 61 (3) ◽  
pp. 201-208 ◽  
Author(s):  
R. Bell ◽  
J.-E. Kruse ◽  
A. Garcia ◽  
T. Glade ◽  
A. Hördt
Keyword(s):  
Soil Moisture ◽  
Geophysical Methods ◽  
Economic Damage ◽  
The World ◽  
Subsurface Investigation ◽  
3D Information ◽  
Moisture Conditions ◽  
2D And 3D ◽  
2D Resistivity

Abstract. Landslides occur frequently all over the world, causing at times considerable economic damage, injuries and even death. In order to improve hazard assessment, common landslide types of a given region need to be investigated in detail. While traditional techniques of subsurface investigation are expensive and only provide point information, geophysical methods are suitable tools for gathering 2D and 3D information on the subsurface quickly, reliably and cost-effectively. In this study, the suitability and limitations of 2D resistivity for the determination of landslide extent, structure and soil moisture conditions are presented. For this purpose, two identical profiles were taken during a two-month period. Significant differences in electrical resistivity (>1000 Ωm) due to varying soil moisture conditions were observed. Using various inversion parameters, it was possible to model two distinct subsurface images. Regrettably, the sliding plane could not be detected reliably, possibly due to the homogeniety of the landslide material and underlying bedrock.

scholarly journals Sentiment Analysis in Social Media using Machine Learning Techniques

2020 ◽  
pp. 193-201 ◽  
Author(s):  
Hayder A. Alatabi ◽  
Ayad R. Abbas
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Sentiment Analysis ◽  
Machine Learning Techniques ◽  
Great Success ◽  
Social Media Data ◽  
Learning Techniques ◽  
The World ◽  
Analysis System ◽  
Media Data

Over the last period, social media achieved a widespread use worldwide where the statistics indicate that more than three billion people are on social media, leading to large quantities of data online. To analyze these large quantities of data, a special classification method known as sentiment analysis, is used. This paper presents a new sentiment analysis system based on machine learning techniques, which aims to create a process to extract the polarity from social media texts. By using machine learning techniques, sentiment analysis achieved a great success around the world. This paper investigates this topic and proposes a sentiment analysis system built on Bayesian Rough Decision Tree (BRDT) algorithm. The experimental results show the success of this system where the accuracy of the system is more than 95% on social media data.

scholarly journals Interpolation and 3D visualization of soil moisture

2017 ◽  
Vol 11 (1) ◽  
pp. 23-34
Author(s):  
András Hervai ◽  
Ervin Pirkhoffer ◽  
Szabolcs Ákos Fábián ◽  
Ákos Halmai ◽  
Gábor Nagy ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Cross Sections ◽  
3D Visualization ◽  
Temporal Changes ◽  
Adaptation To Climate Change ◽  
Soil Moisture Sensors ◽  
Average Maximum ◽  
Moisture Conditions ◽  
2D And 3D ◽  
Soil Moisture Measurement

Adaptation to climate change demands the optimal and sustainable water management in agriculture, with an inevitable focus on soil moisture conditions. In the current study we developed an ArcGIS 10.4. platform-based application (software) to model spatial and temporal changes in soil moisture in a soy field. Six SENTEK Drill & Drop soil moisture sensors were deployed in an experimental field of 4.3 hectares by the contribution of Elcom Ltd. Soil moisture measurement at each location were taken at six depths (5, 15, 25, 35, 45 and 55 cm) in 60-minute intervals. The model is capable to spatially interpolate monitored soil moisture using the technique. The time sequence change of soil moistures can be tracked by a Time Slider for both the 2D and 3D visualization. Soil moisture temporal changes can be visualized in either daily or hourly time intervals, and can be shown as a motion figure. Horizon average, maximum and minimum values of soil moisture data can be identified with the builtin tool of ArcGIS. Soil moisture spatial distribution can be obtained and plotted at any cross sections, whereas an alarm function has also been developed for tension values of 250, 1,000 and 1,500 kPa.

Building a Visual Analytics Tool for Location-Based Services

2016 ◽  
pp. 620-642 ◽  
Author(s):  
Erdem Kaya ◽  
Mustafa Tolga Eren ◽  
Candemir Doger ◽  
Selim Saffet Balcisoy
Keyword(s):  
Visual Analytics ◽  
3D Visualization ◽  
Location Based Services ◽  
Task Completion ◽  
Temporal Data ◽  
Density Map ◽  
Spatio Temporal ◽  
Visualization Techniques ◽  
Analytical Tools ◽  
2D And 3D

Conventional visualization techniques and tools may need to be modified and tailored for analysis purposes when the data is spatio-temporal. However, there could be a number of pitfalls for the design of such analysis tools that completely rely on the well-known techniques with well-known limitations possibly due to the multidimensionality of spatio-temporal data. In this chapter, an experimental study to empirically testify whether widely accepted advantages and limitations of 2D and 3D representations are valid for the spatio-temporal data visualization is presented. The authors implemented two simple representations, namely density map and density cube, and conducted a laboratory experiment to compare these techniques from task completion time and correctness perspectives. Results of the experiment revealed that the validity of the generally accepted properties of 2D and 3D visualization needs to be reconsidered when designing analytical tools to analyze spatio-temporal data.

Virtual Dental Patient

2010 ◽  
pp. 317-336
Author(s):  
Nikos Nikolaidis ◽  
Ioannis Marras ◽  
Georgios Mikrogeorgis ◽  
Kleoniki Lyroudia ◽  
Ioannis Pitas
Keyword(s):  
Oral Cavity ◽  
Cross Sections ◽  
Force Feedback ◽  
3D Visualization ◽  
Virtual Endoscopy ◽  
Dental Students ◽  
Cavity Preparation ◽  
Specific Patient ◽  
Dental Patient ◽  
2D And 3D

The availability of datasets comprising of digitized images of human body cross sections (as well as images acquired with other modalities such as CT and MRI) along with the recent advances in fields like graphics, 3D visualization, virtual reality, 2D and 3D image processing and analysis (segmentation, registration, filtering, etc.) have given rise to a broad range of educational, diagnostic and treatment planning applications, such as virtual anatomy and digital atlases, virtual endoscopy, intervention planning etc. This chapter describes efforts towards the creation of the Virtual Dental Patient (VDP) i.e. a 3D face and oral cavity model constructed using human anatomical data that is accompanied by detailed teeth models obtained from digitized cross sections of extracted teeth. VDP can be animated and adapted to the characteristics of a specific patient. Numerous dentistry-related applications can be envisioned for the created VDP model. Here we focus on its use in a virtual tooth drilling system whose aim is to aid dentists, dental students and researchers in getting acquainted with the handling of drilling instruments and the skills and challenges associated with cavity preparation procedures in endodontic therapy. Virtual drilling can be performed within the VDP oral cavity, on 3D volumetric and surface models (meshes) of virtual teeth. The drilling procedure is controlled by the Phantom Desktop (Sensable Technologies Inc., Woburn, MA) force feedback haptic device. The application is a very promising educational and research tool that allows the user to practice in a realistic manner virtual tooth drilling for endodontic treatment cavity preparation and other related tasks.

2D and 3D Visualization of Stance in Popular Fiction

2010 ◽  
pp. 272-292 ◽  
Author(s):  
Lisa Lena Opas-Hänninen ◽  
Tapio Seppänen
Keyword(s):  
3D Visualization ◽  
Popular Fiction ◽  
2D And 3D
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