scholarly journals A Multi-Scale, Web-based Application for Strategic Assessment of PV Potentials in City Quarters

2021 ◽  
Author(s):  
Sally Köhler ◽  
Rosanny Sihombing ◽  
Eric Duminil ◽  
Volker Coors ◽  
Bastian Schröter
Keyword(s):  
Web Based ◽  
Multi Scale ◽  
Strategic Assessment

Computational Science and Engineering On-line: an integrated web-based environment for multi-scale modelling of complex reaction systems

2004 ◽  
Vol 102 (4) ◽  
pp. 353-360 ◽  
Author(s):  
Thanh N. Truong ◽  
Tom Cook ◽  
Manohar Nayak ◽  
Chaiwoot Boonyasiriwat ◽  
Le-Thuy T. Tran ◽  
...  
Keyword(s):  
Computational Science ◽  
Complex Reaction ◽  
Science And Engineering ◽  
Web Based ◽  
Reaction Systems ◽  
Multi Scale ◽  
Scale Modelling ◽  
Computational Science And Engineering ◽  
On Line

scholarly journals Gosling: A Grammar-based Toolkit for Scalable and Interactive Genomics Data Visualization

2021 ◽  
Author(s):  
Sehi L'Yi ◽  
Qianwen Wang ◽  
Fritz Lekschas ◽  
Nils Gehlenborg
Keyword(s):  
Data Visualization ◽  
Data Types ◽  
Interactive Rendering ◽  
Web Based ◽  
Multi Scale ◽  
Data Formats ◽  
Wide Range ◽  
Visualization Techniques ◽  
Diverse Data ◽  
Data Visualizations

The combination of diverse data types and analysis tasks in genomics has resulted in the development of a wide range of visualization techniques and tools. However, most existing tools are tailored to a specific problem or data type and offer limited customization, making it challenging to optimize visualizations for new analysis tasks or datasets. To address this challenge, we designed Gosling—a grammar for interactive and scalable genomics data visualization. Gosling balances expressiveness for comprehensive multi-scale genomics data visualizations with accessibility for domain scientists. Our accompanying JavaScript toolkit called Gosling.js provides scalable and interactive rendering. Gosling.js is built on top of an existing platform for web-based genomics data visualization to further simplify the visualization of common genomics data formats. We demonstrate the expressiveness of the grammar through a variety of real-world examples. Furthermore, we show how Gosling supports the design of novel genomics visualizations. An online editor and examples of Gosling.js and its source code are available at https://gosling.js.org.

scholarly journals MoMI-G: Modular Multi-scale Integrated Genome Graph Browser

2019 ◽  
Author(s):  
Toshiyuki T. Yokoyama ◽  
Yoshitaka Sakamoto ◽  
Masahide Seki ◽  
Yutaka Suzuki ◽  
Masahiro Kasahara
Keyword(s):  
Whole Genome ◽  
Structural Variants ◽  
Nucleotide Level ◽  
Web Based ◽  
Multi Scale ◽  
Manual Inspection ◽  
Long Reads ◽  
Long Read ◽  
Visualization Tools ◽  
Genome Graph

ABSTRACTLong-read sequencing allows more sensitive and accurate discovery of structural variants (SVs). While more and more SVs are being identified, a number of them are difficult to visualize using existing SV visualization tools. Therefore, methods to visualize SVs such as nested or large SVs of over a megabase pair need to be developed. To this end, we developed MOdular Multi-scale Integrated Genome graph browser, MoMI-G, a web-based genome browser to visualize SVs, genes, repeats, and other annotations as a variation graph with paths. This browser allows more intuitive recognition of large, nested, and potentially more complex SVs. MoMI-G has view modules for different scales, which allow users to view the whole genome down to nucleotide-level alignments of long reads. Alignments spanning reference alleles and those spanning alternative alleles are shown in the same view. Users can customize the view, if they are not satisfied with the preset views. In addition, MoMI-G has Interval Card Deck, a feature for rapid manual inspection of hundreds of SVs. Herein, we describe the utility of MoMI-G by using representative examples of large and nested SVs found in two cell lines, LC-2/ad and CHM1. MoMI-G is freely available at https://github.com/MoMI-G/MoMI-G under the MIT license.

scholarly journals Multiscale light-sheet organoid imaging framework

2021 ◽  
Author(s):  
Gustavo de Medeiros ◽  
Raphael Ortiz ◽  
Petr Strnad ◽  
Andrea Boni ◽  
Francisca Maurer ◽  
...  
Keyword(s):  
Single Cells ◽  
Light Sheet ◽  
Web Based ◽  
Multi Scale ◽  
Tissue Integrity ◽  
Learning Techniques ◽  
Lineage Trees ◽  
Scale Control

We present an imaging framework capable of turning long term light-sheet imaging of organoids into digital organoids. The framework takes advantage of deep learning techniques to faithfully segment single organoids, their lumen, cells and nuclei in 3D and over long periods of time. In parallel, large lineage trees for each organoid are predicted and corrected to iteratively improve the tracking and segmentation performances over time. To visualize the extracted information, we developed a web-based 'Digital Organoid Viewer' that allows a unique understanding of the multivariate and multiscale data by linking 2D lineage trees with the corresponding 3D segmentation meshes. We also backtracked single cells of interest after fixation obtaining detailed information about their history within the entire organoid context. Furthermore, we show nuclei merging events that arise from cytokinesis failure and that these polyploid never reside in the intestinal crypt, hinting at a tissue scale control and feedback on cellular fidelity. Molecularly, these cytokinesis failures depend on a regenerative state of the organoids and are regulated by Lats1 and RXR and we propose a model of tissue integrity by multi-scale check points. This discovery sheds light on the robustness of a regenerative YAP cellular state, questioning the role of polyploidy in intestinal regeneration.

Web-based Exploration of Annotated Multi-Layered Relightable Image Models

2021 ◽  
Vol 14 (2) ◽  
pp. 1-29
Author(s):  
Alberto Jaspe-Villanueva ◽  
Moonisa Ahsan ◽  
Ruggero Pintus ◽  
Andrea Giachetti ◽  
Fabio Marton ◽  
...  
Keyword(s):  
Large Scale ◽  
Region Of Interest ◽  
Material Models ◽  
Web Based ◽  
Single View ◽  
Multi Scale ◽  
Presentation Modes ◽  
Novel Approach ◽  
Image Models ◽  
Spatially Varying

We introduce a novel approach for exploring image-based shape and material models registered with structured descriptive information fused in multi-scale overlays. We represent the objects of interest as a series of registered layers of image-based shape and material data. These layers are represented at different scales and can come out of a variety of pipelines. These layers can include both Reflectance Transformation Imaging representations, and spatially varying normal and Bidirectional Reflectance Distribution Function fields, possibly as a result of fusing multi-spectral data. An overlay image pyramid associates visual annotations to the various scales. The overlay pyramid of each layer is created at data preparation time by either one of the three subsequent methods: (1) by importing it from other pipelines, (2) by creating it with the simple annotation drawing toolkit available within the viewer, and (3) with external image editing tools. This makes it easier for the user to seamlessly draw annotations over the region of interest. At runtime, clients can access an annotated multi-layered dataset by a standard web server. Users can explore these datasets on a variety of devices; they range from small mobile devices to large-scale displays used in museum installations. On all these aforementioned platforms, JavaScript/WebGL2 clients running in browsers are fully capable of performing layer selection, interactive relighting, enhanced visualization, and annotation display. We address the problem of clutter by embedding interactive lenses. This focus-and-context-aware (multiple-layer) exploration tool supports exploration of more than one representation in a single view. That allows mixing and matching of presentation modes and annotation display. The capabilities of our approach are demonstrated on a variety of cultural heritage use-cases. That involves different kinds of annotated surface and material models.

The PBL-Evaluator: a web-based tool for assessment in tutorials

1998 ◽  
Vol 62 (9) ◽  
pp. 671-674
Author(s):  
JF Chaves ◽  
JA Chaves ◽  
MS Lantz
Keyword(s):  
Web Based

Using Popular Mobile Devices in Voice Therapy

2013 ◽  
Vol 23 (3) ◽  
pp. 82-87 ◽  
Author(s):  
Eva van Leer
Keyword(s):  
Exercise Behavior ◽  
Voice Therapy ◽  
Pure Oxygen ◽  
Mobile Platforms ◽  
Self Monitoring ◽  
Web Based ◽  
Motivational Messages ◽  
Related Information ◽  
Health Related ◽  
Tailored Approach

Mobile tools are increasingly available to help individuals monitor their progress toward health behavior goals. Commonly known commercial products for health and fitness self-monitoring include wearable devices such as the Fitbit© and Nike + Pedometer© that work independently or in conjunction with mobile platforms (e.g., smartphones, media players) as well as web-based interfaces. These tools track and graph exercise behavior, provide motivational messages, offer health-related information, and allow users to share their accomplishments via social media. Approximately 2 million software programs or “apps” have been designed for mobile platforms (Pure Oxygen Mobile, 2013), many of which are health-related. The development of mobile health devices and applications is advancing so quickly that the Food and Drug Administration issued a Guidance statement with the purpose of defining mobile medical applications and describing a tailored approach to their regulation.

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