Aim/Purpose: This journal paper seeks to understand historical aspects of data management, leading to the current data issues faced by organizational executives in relation to big data and how best to present the information to circumvent big data challenges for executive strategic decision making. Background: This journal paper seeks to understand what executives value in data visualization, based on the literature published from prior data studies. Methodology: The qualitative methodology was used to understand the sentiments of executives and data analysts using semi-structured interview techniques. Contribution: The preliminary findings can provide practical knowledge for data visualization designers, but can also provide academics with knowledge to reflect on and use, specifically in relation to information systems (IS) that integrate human experience with technology in more valuable and productive ways. Findings: Preliminary results from interviews with executives and data analysts point to the relevance of understanding and effectively presenting the data source and the data journey, using the right data visualization technology to fit the nature of the data, creating an intuitive platform which enables collaboration and newness, the data presenter’s ability to convey the data message and the alignment of the visualization to core the objectives as key criteria to be applied for successful data visualizations Recommendations for Practitioners: Practitioners, specifically data analysts, should consider the results highlighted in the findings and adopt such recommendations when presenting data visualizations. These include data and premise understanding, ensuring alignment to the executive’s objective, possessing the ability to convey messages succinctly and clearly to the audience, having knowledge of the domain to answer questions effectively, and using the right technology to convey the message. Recommendation for Researchers: The importance of human cognitive and sensory processes and its impact in IS development is paramount. More focus can be placed on the psychological factors of technology acceptance. The current TAM model, used to describe use, identifies perceived usefulness and perceived ease-of-use as the primary considerations in technology adoption. However, factors that have been identified that impact on use do not express the importance of cognitive processes in technology adoption. Future Research: Future research requires further focus on intangible and psychological factors that could affect technology adoption and use, as well as understanding data visualization effectiveness in corporate environments, not only predominantly within the Health sector. Lessons from Health sector studies in data visualization should be used as a platform.

The Heinz-Nixdorf-Chair for Distributed Information Systems at the Friedrich Schiller University of Jena (Germany) invites applications for a fully funded PhD student position in Biodiversity Data Visualization for the data management project of the Biodiversity Exploratories (BE) Priority Program.

Deadline for application: 2nd, May 2014

Start date: June 2014 or later

What this is about

The data management project provides the platform for data storage and information exchange for the projects of the DFG Priority Program "Biodiversity Exploratories". Examples of the thematic focus of the projects include botany, forestry, soil, animal, fluxes, modeling, and remote sensing. This diversity is reflected in the format, structure, and semantics of their data which we manage.

Tasks in this project will be centered on the investigation and development of novel visualization methods and user-friendly tools for exploration, search and discovery, quality assurance and integration of the heterogeneous, large volume biodiversity data.  Overall, the study should contribute to the science of visualization for big-data-driven biodiversity research.

More information on the requirements, conditions and how to apply find in the official job offer attached below.

What are some specific examples of risk visualizations in EHS technology, and what role do they play in incident reduction?

Cryo-electron microscopy (cryo-EM) has witnessed radical progress in the past decade, driven by developments in hardware and software. While current software packages include processing pipelines that simplify the image-processing workflow, they do not prioritize the in-depth analysis of crucial metadata, limiting troubleshooting for challenging data sets. The widely used RELION software package lacks a graphical native representation of the underlying metadata. Here, two web-based tools are introduced: relion_live.py, which offers real-time feedback on data collection, aiding swift decision-making during data acquisition, and relion_analyse.py, a graphical interface to represent RELION projects by plotting essential metadata including interactive data filtration and analysis. A useful script for estimating ice thickness and data quality during movie pre-processing is also presented. These tools empower researchers to analyse data efficiently and allow informed decisions during data collection and processing.

Online courses and innovative teaching methods have triggered a trend in education, where the integration of multimedia, online resources and interactive tools is reshaping the view of both virtual and traditional classrooms. The use of interactive tools extends beyond the boundaries of the physical classroom, offering students the flexibility to access materials at their own speed and convenience and enhancing their learning experience. In the field of crystallography, there are a wide variety of free online resources such as web pages, interactive applets, databases and programs that can be implemented in fundamental crystallography courses for different academic levels and curricula. This paper discusses a variety of resources that can be helpful for crystallographic symmetry handling and visualization, discussing four specific resources in detail: the Bilbao Crystallographic Server, the Cambridge Structural Database, VESTA and Jmol. The utility of these resources is explained and shown by several illustrative examples.

Jiro's Pick this week is dabarplot, daviolinplot, daboxplot by Povilas Karvelis.Today, I'd like to highlight a couple of things in this post.Statistical visualization functions"Open in MATLAB Online"... read more >>

Jiro's Pick this week is Happy Pi Day by Zhaoxu Liu / slandarer. I'm a couple of days late, but I wanted to highlight this set of cool visualizations by Zhaoxu for Pi Day. It's amazing to see so... read more >>

Features allow enterprises to gain insight from corporate data with graphical categorizations and support for Sharepoint and NAS Environments

The goal of the collaboration is to develop advanced algorithms that yield more efficient and user-friendly visual representations of application structures

This thesis describes the results of a multi-year experience conducted... more

The eyeo festival and the community around it has a very special place in my heart. When Dave Schroeder announced the team was editing a book to celebrate the fifth anniversary, my immediate thought was to use this opportunity to follow up on an old idea, which I had been kicking around for a while […]

Bringing data to life in your application can be done without the usual headaches. Paul Scanlon shows you how you can build beautiful data visualizations using the Google Analytics API, and you won’t have to spend any time “massaging” the data.

Event Begins: Wednesday, November 13, 2024 6:00pm
Location: CCCB 3420
Organized By: Sessions @ Michigan

Join the Quantitative Methods in the Social Sciences (QMSS) program for a night of making data fun and engaging! Sign up to compete on teams of 2-3 in 2 rounds of competition. Students in our audience will have an opportunity to vote on their favorite visuals from each round. We will have QMSS- and University of Michigan-themed prizes for participants and audience members as well as dinner on us!

Analysis and Visualization of Quantitative Proteomics Data Using FragPipe-Analyst  ACS Publications

This episode is a discussion about code and metrics visualization with Michele Lanza. Michele invented the Code Cities idea about which he talks in this episode.

that's kinda nuts

Mapping Black London — which is led by Northeastern University and aims to “visualise the multi-racial foundations and histories of London and the UK” — has created an interactive map chronicling the life of Bermudian Mary Prince. The organization said, “This exhibit traces the life of Mary Prince through the locations she described in her […]

BOSTON, Dec. 12, 2023 — Aliro Quantum today announced the controlled availability of Aliro Simulator, a versatile, modular quantum network simulator equipped to model all portions of a quantum network from […]

The post Aliro Quantum Debuts Aliro Simulator, Enhancing Quantum Network Simulation and Visualization appeared first on HPCwire.

PITTSBURGH, June 19, 2024 — Ansys today announced that it is adopting NVIDIA Omniverse application programming interfaces (APIs) to offer 3D-IC designers valuable insights from Ansys’ physics solver results through […]

The post Ansys Enables 3D Multiphysics Visualization of Next-Gen 3D-IC Designs with NVIDIA Omniverse appeared first on HPCwire.

In insects, oocyte resorption (oosorption) or follicular atresia is one of the key physiological processes and evolutionary strategies used to optimize reproductive fitness. Mosquitoes are ideal model organisms for studying egg maturation in arthropods, as their follicle development is initiated only following the ingestion of a blood meal, followed by a carefully orchestrated series of hormonally regulated events leading to egg maturation. A cohort of approximately 100 follicles per mosquito ovary begin developing synchronously. However, a significant fraction of follicles ultimately undergo apoptosis and oosorption, especially when available resources from the blood meal are limited. Therefore, simple, rapid, and reliable techniques to accurately evaluate follicular atresia are necessary to understand mechanisms underlying follicle development in insects. This protocol describes how to detect apoptotic follicle cells within the Aedes aegypti mosquito ovaries using a commercially available fluorescent-labeled inhibitor of caspases (FLICA). Caspases are key players in animal apoptosis. In this assay, the FLICA reagent enters the intracellular compartment of follicles in dissected mosquito ovaries and covalently binds to active caspases. The bound reagent remains within the cell and its fluorescent signal can be observed by confocal microscopy. Although this method was specifically developed for visualizing apoptotic ovarian follicles during Ae. aegypti mosquito egg development, it should be applicable to other mosquito tissues that undergo caspase-mediated program cell death in a time-dependent manner.

The latest episode of "Growing Impact" explores how a research team is using computer modeling and animations to visualize future flood and levee failure scenarios.

Everything happens somewhere, and much of our customer data includes location information. Websites include x, y coordinates in semi-structured click streams, and the mobile apps your prospects depend on frequently support device location to provide a personalized, targeted experience. As my SAS peer Robby Powell said: "Human brains are hardwired [...]

SAS Customer Intelligence 360: Data visualization, location analytics and geospatial insights was published on Customer Intelligence Blog.

This blog describes how to efficiently use Virtuoso Visualization and Analysis XL.(read more)

A new AI-powered, imaging-based technology that creates accurate three-dimensional models of tumors, veins and other soft tissue offers a promising new method to help surgeons operate on, and better treat, breast cancers. The technology, from Illinois-based startup SimBioSys, converts routine black-and-white MRI images into spatially accurate, volumetric images of a patient’s breasts. It then illuminates Read Article

IEEE Computer Society

This interactive chart, designed by Krisztina Szucs and Mate Cziner from Hungary, condenses highly complex data on the costs and benefits of education around the world. It clearly highlights important facts showing students, parents and policy makers where the real costs and benefits lie for them in relation to education

SVAT4 is a computer program for interactive visualization of three-dimensional crystal structures, including chemical bonds and magnetic moments. A wide range of functions, e.g. revealing atomic layers and polyhedral clusters, are available for further structural analysis. Atomic sizes, colors, appearance, view directions and view modes (orthographic or perspective views) are adjustable. Customized work for the visualization and analysis can be saved and then reloaded. SVAT4 provides a template to simplify the process of preparation of a new data file. SVAT4 can generate high-quality images for publication and animations for presentations. The usability of SVAT4 is broadened by a software suite for simulation and analysis of electron diffraction patterns.

Developing methods to determine high-resolution structures from micrometre- or even submicrometre-sized protein crystals has become increasingly important in recent years. This applies to both large protein complexes and membrane proteins, where protein production and the subsequent growth of large homogeneous crystals is often challenging, and to samples which yield only micro- or nanocrystals such as amyloid or viral polyhedrin proteins. The versatile macromolecular crystallography microfocus (VMXm) beamline at Diamond Light Source specializes in X-ray diffraction measurements from micro- and nanocrystals. Because of the possibility of measuring data from crystalline samples that approach the resolution limit of visible-light microscopy, the beamline design includes a scanning electron microscope (SEM) to visualize, locate and accurately centre crystals for X-ray diffraction experiments. To ensure that scanning electron microscopy is an appropriate method for sample visualization, tests were carried out to assess the effect of SEM radiation on diffraction quality. Cytoplasmic polyhedrosis virus polyhedrin protein crystals cryocooled on electron-microscopy grids were exposed to SEM radiation before X-ray diffraction data were collected. After processing the data with DIALS, no statistically significant difference in data quality was found between datasets collected from crystals exposed and not exposed to SEM radiation. This study supports the use of an SEM as a tool for the visualization of protein crystals and as an integrated visualization tool on the VMXm beamline.

For the extraction of the best possible X-ray diffraction data from macromolecular crystals, accurate positioning of the crystals with respect to the X-ray beam is crucial. In addition, information about the shape and internal defects of crystals allows the optimization of data-collection strategies. Here, it is demonstrated that the X-ray beam available on the macromolecular crystallo­graphy beamline P14 at the high-brilliance synchrotron-radiation source PETRA III at DESY, Hamburg, Germany can be used for high-energy phase-contrast microtomography of protein crystals mounted in an optically opaque lipidic cubic phase matrix. Three-dimensional tomograms have been obtained at X-ray doses that are substantially smaller and on time scales that are substantially shorter than those used for diffraction-scanning approaches that display protein crystals at micrometre resolution. Adding a compound refractive lens as an objective to the imaging setup, two-dimensional imaging at sub-micrometre resolution has been achieved. All experiments were performed on a standard macromolecular crystallography beamline and are compatible with standard diffraction data-collection workflows and apparatus. Phase-contrast X-ray imaging of macromolecular crystals could find wide application at existing and upcoming low-emittance synchrotron-radiation sources.

Serial crystallography is a powerful technique in structure determination using many small crystals at X-ray free-electron laser or synchrotron radiation facilities. The large diffraction data volumes require high-throughput software to preprocess the raw images for subsequent analysis. ClickX is a program designated for serial crystallography data preprocessing, capable of rapid data sorting for online feedback and peak-finding refinement by parameter optimization. The graphical user interface (GUI) provides convenient access to various operations such as pattern visualization, statistics plotting and parameter tuning. A batch job module is implemented to facilitate large-data-volume processing. A two-step geometry calibration for single-panel detectors is also integrated into the GUI, where the beam center and detector tilting angles are optimized using an ellipse center shifting method first, then all six parameters, including the photon energy and detector distance, are refined together using a residual minimization method. Implemented in Python, ClickX has good portability and extensibility, so that it can be installed, configured and used on any computing platform that provides a Python interface or common data file format. ClickX has been tested in online analysis at the Pohang Accelerator Laboratory X-ray Free-Electron Laser, Korea, and the Linac Coherent Light Source, USA. It has also been applied in post-experimental data analysis. The source code is available via https://github.com/LiuLab-CSRC/ClickX under a GNU General Public License.

The program Mercury, developed at the Cambridge Crystallographic Data Centre, was originally designed primarily as a crystal structure visualization tool. Over the years the fields and scientific communities of chemical crystallography and crystal engineering have developed to require more advanced structural analysis software. Mercury has evolved alongside these scientific communities and is now a powerful analysis, design and prediction platform which goes a lot further than simple structure visualization.

Knowledge of the appearance of texture components and fibres in pole figures, in inverse pole figures and in Euler space is fundamental for texture analysis. For cubic crystal systems, such as steels, an extensive literature exists and, for example, the book by Matthies, Vinel & Helming [Standard Distributions in Texture Analysis: Maps for the Case of Cubic Orthorhomic Symmetry, (1987), Akademie-Verlag Berlin] provides an atlas to identify texture components. For lower crystal symmetries, however, equivalent comprehensive overviews that can serve as guidance for the interpretation of experimental textures do not exist. This paper closes this gap by providing a set of scripts for the MTEX package [Bachmann, Hielscher & Schaeben (2010). Solid State Phenom. 160, 63–68] that allow the texture practitioner to compile such an atlas for a given material system, thus aiding orientation distribution function analysis also for non-cubic systems.

SVAT4 is a computer program for interactive visualization of three-dimensional crystal structures. A wide range of functions are available for structural analysis.

Jiro's Pick this week is joyPlot by Santiago Benito.I must admit that I was simply drawn by the visualization, rather than the name of the function, as I was not familiar with the band or the music... read more >>

Interactive visualizations are an effective method for understanding the COVID-19 pandemic. This article presents a repository filled with just such insightful interactions.

At present, the data scientist is one of the most sought after professions. That’s one of the main reasons why we decided to cover the latest data visualization tools that every data scientist can use to make their work more effective.

https://www.anychart.com/blog/2020/05/06/javascript-choropleth-map-tutorial/

A visualization can include a set of swim lanes, each swim lane representing information about an event type. An event type can be specified, e.g., as those events having certain keywords and/or having specified value(s) for specified field(s). The swim lane can plot when (within a time range) events of the associated event type occurred. Specifically, each such event can be assigned to a bucket having a bucket time matching the event time. A swim lane can extend along a timeline axis in the visualization, and the buckets can be positioned at a point along the axis that represents the bucket time. Thus, the visualization may indicate whether events were clustered at a point in time. Because the visualization can include a plurality of swim lanes, the visualization can further indicate how timing of events of a first type compare to timing of events of a second type.

When a user enters text into an application, the application can utilize an auto-complete feature to provide the user with estimations as to a complete term a user is attempting to enter into the application. Visualization can be provided along with an estimation to disclose the likelihood the estimation is what the user intends to enter. Furthermore, a rationale can be provided to the user for the reason an estimation was provided to the user.

Systems and methods for managing a collaborative environment are provided. A plurality of sheets is stored in a collaboration system. The collaboration system tracks user interactions with the plurality of sheets and generates a collaboration graph based on the interactions. The collaboration graph is analyzed to determine similarities between the sheets and/or the users. One or more visualizations are generated based on the collaboration graph and the determined similarities. In some embodiments, the collaboration system is able to provide project management information even for dynamic workflows that are not explicitly defined.

A method of web-based data visualization includes: a Frontend sending a request over a computer network to a server configured as a Backend; a web server of the second server fetching data responsive to the request; the web server sending a response to the Frontend in a format compatible with a plurality software adaptors located on the Frontend, the response including information about objects to be presented on a web component; logic of the Frontend passing the response to a selected one of the software adaptors; and the selected software adaptor rendering the using a web visualization library associated with selected software adaptor.

Data items are aggregated based on information relating to a display capability of a display device, to produce aggregated data. The aggregated data is for display in a visualization presented by the display device. Responsive to user selection in the visualization, dynamically created data at a second hierarchical level different from a first hierarchical level of the aggregated data is for display in the visualization.