STM3: a chemistry visualization platform

Author(s):  
Mario Valle

AbstractTo support CSCS research users we built STM3, a software platform on which advanced chemistry visualization techniques can be integrated. Its main goal is not to replace existing tools, but to provide functionalities not covered by them. STM3’s unusual characteristic among chemistry visualization tools is its ability to combine chemistry and general visualization techniques in the same view. STM3 is built on top of a proven visualization environment (AVS/Express) that lets CSCS’s visualization staff concentrate its efforts on developing new technologies rather than investing time on graphical and user interface implementation issues.

In the present era, the internet and new technologies are changing the information behavior of news reader .Instead of reading a copy of the local newspaper or watching the scheduledevening news, people increasingly turn to the internet for daily news updates. A Multi-Lingual news feed application is aimed at developing a web based application named multilingual news feed app. This Application deals with the user who wants to read news from the web application. User can select different countries in which a user is interested, the latest news will be fetched from the selected country. The news will be fetched and displayed based on the country selected in its own national language & the news is categorized into 7 different categories. A user can select any category which they are looking for. When you are done selecting the country & category, then the page will automatically refresh and the news will be displayed on MultiLingual news feed application. This application also supports translation and the news can be translated into any language. This application is fully responsive and has a good-looking user interface. The users will find this application much interesting for reading the news articles.


2020 ◽  
Author(s):  
Tariq Yousef

In this paper we introduce Ugarit a web-based tool for manual translation alignment of parallel texts, the aim was to build a user interface to create training data in form of translation pairs to be used later for an automatic translation alignment system at word/phrase level, the tool now is widely used as reading environment for parallel texts and a languages learning tool. The paper gives a short overview of the visualization techniques used to present the alignment results and shows how the translation graph derived from the aligned translation pairs.


2009 ◽  
Vol 9 (2) ◽  
pp. 152-164 ◽  
Author(s):  
Andreas Kjellin ◽  
Lars Winkler Pettersson ◽  
Stefan Seipel ◽  
Mats Lind

New technologies and techniques allow novel kinds of visualizations and different types of 3D visualizations are constantly developed. We propose a categorization of 3D visualizations and, based on this categorization, evaluate two versions of a space-time cube that show discrete spatiotemporal data. The two visualization techniques used are a head-tracked stereoscopic visualization (‘strong 3D’) and a static monocular visualization (‘weak 3D’). In terms of effectiveness and efficiency the weak 3D visualization is as good as the strong 3D and thus the need for advanced 3D visualizations in these kinds of tasks may not be necessary.


Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 5122-5122
Author(s):  
Tiffany J Chen ◽  
Nikesh Kotecha

Abstract The development of new technologies for high-parameter data has resulted in a critical bottleneck: identification of immune subsets is restricted to expert-based analysis, focusing on post-acquisition characterization of cell populations. Identification of cell subsets in flow cytometry has primarily focused on manual analysis, despite the fact that computational tools have proven useful for high-parameter and cross-sample comparisons. Sharing well-annotated data improves transparency and facilitates vital reproduction of results by external groups. Adoption of these new tools for immune subset discovery requires thorough collaborative investigation and validation of identified cell populations. To this end, in this study we compare the ease of discovery of immune subsets by comparing analysis through the use of three visualization tools: the sunburst hierarchy, the SPADE tree, and dimensionality reduction using viSNE. The sunburst hierarchy is a visual and interactive representation of traditional manual gating, whereas the SPADE tree is a semi-automated clustering and visualization tool for identification of cell subsets. viSNE allows interaction with high parameter data in the context of two-dimensional space where gating can be accomplished. In this study, we demonstrate the ability to automatically elucidate many immune subsets using Cytobank via an iterative analytic approach, combining computational tools (viSNE and SPADE) to recapitulate manually derived cell subsets. Disclosures Chen: Cytobank, Inc: Employment, Equity Ownership. Kotecha:Cytobank, Inc: Employment, Equity Ownership.


2012 ◽  
Vol 241-244 ◽  
pp. 284-287 ◽  
Author(s):  
Bo Xu ◽  
Li Wei Guo ◽  
Jin Song Yu

This paper centers on the software reuses of Automatic Test Systems (ATS) and the integration of test and diagnosis to reduce maintenance costs. Based on the research into the basic framework, data services, packages and definition of interfaces, we present an integrated software platform for test and diagnosis system. The platform achieves the separation between the user interface and test logic, the combination of fault modeling and diagnostic reasoning, and the integration of test and diagnosis.


Author(s):  
Shadman A. Khan ◽  
Zulfikar Ali Ansari ◽  
Riya Singh ◽  
Mohit Singh Rawat ◽  
Fiza Zafar Khan ◽  
...  

Artificial Intelligence (AI) technologies are new technologies with new complicated features emerging quickly. Technology adoption has been beneficial for many general models. The models help in train the voice user-interface assistance (Alexa, Cortona, Siri). Voice assistants are easy to use, and thus millions of devices incorporate them in households nowadays. The primary purpose of the sign language translator prototype is to reduce interaction barriers between deaf and mute. To overcome this problem, we have proposed a prototype. It is named sign language translator with Sign Recognition Intelligence which takes the user input in sign language and processes it, and returns the output in voice out load to the end-user.


2021 ◽  
Vol 7 (1) ◽  
pp. 283-292
Author(s):  
Rosaura Fernández-Pascual ◽  
Ana Marín Jiménez ◽  
María Pilar Fernández- Sánchez

This paper explores how to incorporate information visualization tools into qualitative studies to represent the underlying structure of knowledge. Information visualization plays a key role in many areas such as decision-making, data mining, market studies, or knowledge management. A case of experiential learning was developed for Quantitative Techniques in Business and Administration and Economy Degrees at the University of Granada, Spain. The goal is to analyze the opinion of students (n = 227) on the development of the activity through information visualization techniques. The gathered information was subjected to a categorization process to unify and homogenize the responses. After a term-clumping process, a co-word analysis using the VosViewer software is used to analyze the relationships among terms and provide the network maps. Results display the main associations and clusters of terms used when assessing the experiential activity, using qualitative techniques. In conclusion, the strengths of data visualization enabling a better understanding of data for qualitative studies are established. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.


Author(s):  
Evan Shellshear

This paper introduces a novel take on a well-known user interface that combines the advantages of a number of new technologies. In particular, it presents a new tangible interface with an interactive surrounding space. It demonstrates the technology in an exciting user case as a printed keyboard and hand-gesture based mouse that provides one with an easy-to-use text and virtual mouse input for situations where such a medium is difficult to use (e.g. virtual keyboards for tablets and smartphones) or non-existent (e.g. gaming consoles such as the Microsoft Kinect). It also examines other applications and design questions that arise from such an interface.


2019 ◽  
Author(s):  
Ruslan N. Tazhigulov ◽  
James R. Gayvert ◽  
Melissa Wei ◽  
Ksenia B. Bravaya

eMap is a web-based platform for identifying and visualizing electron or hole transfer pathways in proteins based on their crystal structures. The underlying model can be viewed as a coarse-grained version of the <i>Pathways</i> model with only through-space tunneling between electron transfer active (ETA) moieties being taken into account. ETA moieties include aromatic amino acid residue side chains and aromatic fragments of cofactors that are automatically detected, and, in addition, electron/hole residing sites that can be specified by the users. The software searches for the shortest paths connecting the user-specified electron/hole source to either all surface-exposed ETA residues or to the user-specified target. The identified pathways are ranked based on their length. The pathways are visualized in 2D as a graph, in which each node represents an ETA site, and in 3D using available protein visualization tools. Here we present the capability and user interface of eMap 1.0, which is available at https://emap.bu.edu.


2020 ◽  
Vol 4 (3) ◽  
pp. 205-213
Author(s):  
Aleksander Pedersen

Smart phones and sensor technology represent a key part of everyday life and are being used in areas such as safety, training, healthcare and others. Utilizing an array of internal sensors and a metal detector requires an evaluation of the precision of the measurements and performance reviews. Metal detectors are versatile, with uses in healthcare as well as recreational, but a common issue often seen in the proprietary equipment is bad presentation of data. Usually the user interface is just numbers on a display, simplified graphs or sounds. By combining smartphone sensors with a metal detector and a custom mount we model a mapping between the virtual and physical model, a digital twin. In this paper we are utilizing the computing capabilities of a smartphone and employing visualization techniques not possible by partial information. In addition, we present an improved graphical user interface without any proprietary accessories. For this purpose, preliminary case studies are included as a part of a prototype in development.


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