Articles tagged with Data Visualization
Comprehensive exploration of living organisms, biological systems, and life processes across all scales from molecules to ecosystems. Encompasses cutting-edge research in biology, genetics, molecular biology, ecology, biochemistry, microbiology, botany, zoology, evolutionary biology, genomics, and biotechnology. Investigates cellular mechanisms, organism development, genetic inheritance, biodiversity conservation, metabolic processes, protein synthesis, DNA sequencing, CRISPR gene editing, stem cell research, and the fundamental principles governing all forms of life on Earth.
Comprehensive medical research, clinical studies, and healthcare sciences focused on disease prevention, diagnosis, and treatment. Encompasses clinical medicine, public health, pharmacology, epidemiology, medical specialties, disease mechanisms, therapeutic interventions, healthcare innovation, precision medicine, telemedicine, medical devices, drug development, clinical trials, patient care, mental health, nutrition science, health policy, and the application of medical science to improve human health, wellbeing, and quality of life across diverse populations.
Comprehensive investigation of human society, behavior, relationships, and social structures through systematic research and analysis. Encompasses psychology, sociology, anthropology, economics, political science, linguistics, education, demography, communications, and social research methodologies. Examines human cognition, social interactions, cultural phenomena, economic systems, political institutions, language and communication, educational processes, population dynamics, and the complex social, cultural, economic, and political forces shaping human societies, communities, and civilizations throughout history and across the contemporary world.
Fundamental study of the non-living natural world, matter, energy, and physical phenomena governing the universe. Encompasses physics, chemistry, earth sciences, atmospheric sciences, oceanography, materials science, and the investigation of physical laws, chemical reactions, geological processes, climate systems, and planetary dynamics. Explores everything from subatomic particles and quantum mechanics to planetary systems and cosmic phenomena, including energy transformations, molecular interactions, elemental properties, weather patterns, tectonic activity, and the fundamental forces and principles underlying the physical nature of reality.
Practical application of scientific knowledge and engineering principles to solve real-world problems and develop innovative technologies. Encompasses all engineering disciplines, technology development, computer science, artificial intelligence, environmental sciences, agriculture, materials applications, energy systems, and industrial innovation. Bridges theoretical research with tangible solutions for infrastructure, manufacturing, computing, communications, transportation, construction, sustainable development, and emerging technologies that advance human capabilities, improve quality of life, and address societal challenges through scientific innovation and technological progress.
Study of the practice, culture, infrastructure, and social dimensions of science itself. Addresses how science is conducted, organized, communicated, and integrated into society. Encompasses research funding mechanisms, scientific publishing systems, peer review processes, academic ethics, science policy, research institutions, scientific collaboration networks, science education, career development, research programs, scientific methods, science communication, and the sociology of scientific discovery. Examines the human, institutional, and cultural aspects of scientific enterprise, knowledge production, and the translation of research into societal benefit.
Comprehensive study of the universe beyond Earth, encompassing celestial objects, cosmic phenomena, and space exploration. Includes astronomy, astrophysics, planetary science, cosmology, space physics, astrobiology, and space technology. Investigates stars, galaxies, planets, moons, asteroids, comets, black holes, nebulae, exoplanets, dark matter, dark energy, cosmic microwave background, stellar evolution, planetary formation, space weather, solar system dynamics, the search for extraterrestrial life, and humanity's efforts to explore, understand, and unlock the mysteries of the cosmos through observation, theory, and space missions.
Comprehensive examination of tools, techniques, methodologies, and approaches used across scientific disciplines to conduct research, collect data, and analyze results. Encompasses experimental procedures, analytical methods, measurement techniques, instrumentation, imaging technologies, spectroscopic methods, laboratory protocols, observational studies, statistical analysis, computational methods, data visualization, quality control, and methodological innovations. Addresses the practical techniques and theoretical frameworks enabling scientists to investigate phenomena, test hypotheses, gather evidence, ensure reproducibility, and generate reliable knowledge through systematic, rigorous investigation across all areas of scientific inquiry.
Study of abstract structures, patterns, quantities, relationships, and logical reasoning through pure and applied mathematical disciplines. Encompasses algebra, calculus, geometry, topology, number theory, analysis, discrete mathematics, mathematical logic, set theory, probability, statistics, and computational mathematics. Investigates mathematical structures, theorems, proofs, algorithms, functions, equations, and the rigorous logical frameworks underlying quantitative reasoning. Provides the foundational language and tools for all scientific fields, enabling precise description of natural phenomena, modeling of complex systems, and the development of technologies across physics, engineering, computer science, economics, and all quantitative sciences.
Scientists have developed a novel software tool, Molecular Control Toolkit, allowing researchers to intuitively control 3D molecular graphics using gestures and voice commands. This innovation enables life scientists to visualize complex molecule structures more easily, model behavior, and design better drugs.
NYU-Poly professors Juliana Freire and Thanasis Korakis are recognized for their work on big data analysis and developing solutions to improve home wireless performance. They will receive one-year grants supporting their research, which aims to unify data selection and visual analysis to analyze complex urban data sets.
Researchers from Harvard and MIT found that data visualizations with recognizable images, such as photographs and logos, and unusual types of charts like tree diagrams and network diagrams, are more memorable. This challenges the conventional wisdom that traditional charts are more effective.
A new robot-vision algorithm based on the Bingham distribution can identify object orientations more accurately than existing algorithms, with a 50% improvement in cases of poor visual information. The algorithm combines probabilities from different sources and has been successfully tested in cluttered scenes.
The WIFIRE project aims to create a scalable system for wildfire analysis, integrating networked observations and computational techniques. It will support situational awareness, responses, and decision-making at local, state, national, and international levels.
The NASA Aura satellite detected high nitrogen dioxide levels from the Yarnell Hill Fire in Arizona, indicating a large amount of combustible material was burned. The fire has consumed over 8,000 acres and forced evacuations in nearby towns.
A new computational method called viSNE enables scientists to analyze high-dimensional cancer data, revealing distinct cell subpopulations and detecting minimal residual disease. This breakthrough technology has the potential to improve cancer diagnosis and treatment.
The Global Burden of Diseases, Injuries, and Risk Factors 2010 Study reveals surprising health trends around the world, including rising life expectancy but increasing sickness and disability. The study provides detailed findings on demographics, disease, and disability in 187 countries.
Scientists at Tufts University have shown that transplanted eyes can confer vision without a direct neural connection to the brain. The study used frog models and found that ectopic eyes could 'see' and elicit responses similar to those of animals with natural eyes.
A new computer program, LandTrendr, has successfully teased out subtle changes in forest ecosystems by analyzing vast amounts of scientific data. By comparing satellite images to ground data, scientists uncovered the cause of slow-moving declines and recoveries of trees in Pacific Northwest forests.
A collaborative project by RDAV and University of Tennessee artist Evan Meaney has won the jury prize for Distributed Microtopias exhibition at FLEFF. The 'Null_Sets' artwork visualizes data size and structure using an open-source script, exploring the gap between data and information.
The Texas Advanced Computing Center (TACC) has released MostPixelsEver: Cluster Edition, an open source software tool that enables interactive multimedia visualizations on high resolution, tiled displays. This software aims to make visualization tools more accessible for humanities researchers.
The Nautilus supercomputer at the University of Tennessee's RDAV Center has been upgraded with four new SGI UV 10 units, adding 128 cores and 512 GB of memory. This upgrade will enable more researchers to use high-performance computing (HPC) for data analysis.
Researchers developed visual data mining software to detect subtle city-specific features in Google Street View images. The software identified unique elements such as cast-iron balconies in Paris and fire escapes in New York City, which can be used for computational geography tasks.
Researchers at the University of Arizona are developing a visualization system to detect suspicious network activity in real-time, using a geographic map metaphor to facilitate human analysis. The system aims to provide quick high-level information to non-experts and comprehensive data to experts, while also offering customization opti...
The method combines three bipartite visual representations of genetic information to explore genetic data and identify novel patterns. The technique is applied to SNPs from individuals with Nigerian and Utah ancestry, revealing associations between SNP frequencies and ancestral origins.
Researchers will create an open, dynamic evolutionary framework to continuously update the tree of life, incorporating new biodiversity data. Computational tools will enable scientists to visualize and analyze the entire tree, facilitating comparative biology research and discovery of new medicines.
A unique three-year project, Super-Identity, aims to tackle identity issues associated with unreliable and counterfeit identification. The study estimates that UK identity fraud costs over £2.7 billion annually.
A new 2D visualization tool called HemoVis has been developed to diagnose heart disease more accurately than traditional 3D models. The tool uses a tree diagram of arteries with areas of disease highlighted and is shown to be more accurate and efficient for patient diagnosis.
The GeoSymbio application provides a wealth of information on symbiotic zooxanthellae, including genetic identification and taxonomic description of over 400 distinct subclades. This tool accelerates insights into their ecology, biogeography, and evolution in the face of climate change.
The NASA Visualization Explorer app allows users to interact with extraordinary images, video, and information about NASA's Earth science research. The app features high-resolution movies, short written stories, and interviews with scientists, all designed to be easily accessible to the general public.
Researchers Peter Fox and James Hendler outline a new vision for scientific data visualization, encouraging scientists to adopt web-based approaches. They highlight the advantages of interactive and dynamic visualizations, such as those found on the web, which can facilitate collaboration, reduce costs, and increase accessibility.
Scientists and engineers are using supercomputer models to simulate the universe's first stars, galaxies, and planets. Custom tools transform vast data into cinematic experiences, revealing insights into cosmic evolution and star formation.
Nautilus provides cutting-edge capabilities for analyzing large datasets in various fields, including life sciences and astrophysics. The system is designed to process vast amounts of data using its shared-memory architecture with four terabytes of memory.
A study by University of Nebraska-Lincoln researchers found that voters carved into new districts often know less about their congressperson than those in their former home counties. This can lead to a significant informational disadvantage, resulting in random voting choices.
Researchers use the GeoViz Toolkit to analyze disease statistics and identify trends in geographic patterns. This allows for better understanding of complex events like the spread of Swine flu.
Researchers at NC State University developed a new analytical method to process large amounts of information efficiently. The algorithm allows for targeted collection of relevant data, minimizing errors and reducing data storage needs.
Researchers at the University of Illinois Chicago have received a $1.9 million grant to create a user-friendly version of OptIPuter, a global science networking platform. The new software aims to make it easy for scientists to collaborate and visualize data on ultra-high-resolution display panels.
The ALCF's powerful installation of NVIDIA Quadro Plex S4 external GPUs enables scientists to visualize and analyze vast amounts of data from high-performance calculations. This allows for dramatic reductions in time needed to create complex visualizations, boosting their quality.
The Cancer Genomics Browser is a web-based tool that enables researchers to find patterns in large-scale cancer studies, identifying genetic signatures for predicting therapy responses. By analyzing clinical and genomic data, researchers can gain insights into the complex genetic roots of cancer, leading to improved treatment outcomes.
Scientists can now access valuable hurricane research information and easy data access to a collection of multi-sensor datasets via the NASA Hurricane Data Analysis tool. The tool allows users to visualize key parameters, such as area plots and animations, for tropical cyclones around the world.
Researchers developed an interactive program to analyze genome sequences, allowing them to find hidden relationships in massive amounts of data. The program uses visualization technology and computational approaches to display results in a user-friendly manner, helping scientists uncover new insights into biological processes.
The CarTel project uses a network of mobile sensors to monitor traffic conditions and provide drivers with real-time information on congestion and potential engine problems. By analyzing data from multiple vehicles, the system can identify historical and current traffic patterns, enabling more efficient routing and reducing commute times.
A research team at Georgia Tech is developing foundational research in massive data analysis and visual analytics. The project aims to improve the visual analytics of massive data sets through machine learning, numerical algorithms, and optimization.
The IBM Blue Gene/P Intrepid supercomputer will have a new data analytics and visualization capability, complementing its distinction as the fastest computer in the world for open science. The system, nicknamed Eureka, will enable researchers to explore and visualize data produced by Intrepid.
A robotic probe called ENDURANCE will test its performance in cold, icy conditions on Lake Mendota, simulating the environment of Jupiter's moon Europa. The probe is designed to map underwater environments and collect data on biological conditions.
Paul Flemons, an Australian researcher, has won the prestigious Ebbe Nielsen Prize for his innovative work in combining biosystematics and biodiversity informatics. His research focuses on computer-based ecological modeling to identify areas with high species diversity, making it easier for scientists to discover and conserve species.
Engineers at UC San Diego's Jacobs School of Engineering used a virtual building to test the impact of the 1994 Northridge earthquake on a 275-ton structure. The virtual model allowed researchers to visualize data from over 600 sensors, gaining new insights into structure performance and enabling 'what if' simulations.
The new Hurricane web portal provides a variety of measurements from NASA instruments, including current conditions, image galleries, event-based data, and tools. The portal also features links to various analysis software systems, such as Giovanni, allowing users to explore and analyze Earth sciences data interactively.
Researchers at Loughborough University have developed a lightweight visualisation tool for the RealityGrid e-Science project, which uses Grid technologies to model and simulate complex condensed matter structures. The tool can be used on mobile devices and supports multiple users to view and interact with data simultaneously.
Researchers develop new e-Science techniques to visualize data from large detectors, such as the ISIS neutron source. This allows for better understanding of material properties and opens up new research opportunities in materials science. The new methods, including GAPtk, enable users to manipulate gigabytes of data in near real-time.
The UltraScience Net enables fast data transfer between research institutions, with speeds of up to 20 Gigabits per second. Fermilab and Caltech successfully tested the system, achieving a rate of 7 Gigabits per second, thousands of times faster than usual high-speed Internet connections.
Researchers successfully tested a new coast-to-coast, 10-Gigabit per second Ethernet cyber backplane connecting NASA's Goddard center to UCSD. The system enabled complex scientific analysis and visualization of large data sets remotely.
The 'Ecce Homology' project uses dynamic media and computer vision to visualize genomic data, making it accessible to the general public. By creating scientifically accurate pictograms of genes and proteins, researchers aim to reduce complexity and facilitate understanding of genomics.
A new grant from NSF's ITR Program will support the development of an integrated system, AMADEUS, which uses IT for real-time data gathering and computational modeling. This can lead to safer, more efficient, and economical underground construction methods.
The LabWrite Web site provides step-by-step instruction on writing lab reports, including goal-setting, data organization, and visualization. Students using the tool showed statistically significant improvement in lab-report scores and attitudes toward lab reports.
The Office of Naval Research is developing a suite of technologies to help sailors and Marines avoid mines during amphibious landings. The systems, including Moving Map, Augmented Reality Visualization, and Expeditionary Warfare Decision Support System, aim to reduce the risk of accidents by providing real-time navigation data.
The OptIPuter project, led by Cal-(IT)2 researchers, partners with Chiaro to deploy Enstara routing platform for high-performance networking and data analysis. The platform's innovative technologies reduce infrastructure costs and enhance packet processing efficiency.
The OptIPuter project aims to create a parallel computer that uses optical networks to connect distributed clusters and large data repositories. This will enable scientists to analyze and visualize massive amounts of data in near real-time.
The National Science Foundation is awarding $53 million to build a distributed terascale facility, supporting research in storm prediction, combustion engines and biology. The project will create a unique national resource for high-performance computing, connecting researchers across the US.
The Modular-MPC 1/16 system by Aspex Microsystems Ltd. offers high-speed 3D data visualization with 10 frames-per-second performance for 16 million data elements. It achieves over 25 billion operations per second and is suitable for complex applications like computational fluid dynamics.