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.
The Science journals have partnered with Proofig AI to detect image-related issues before publication. The adoption of Proofig AI positions authors to resolve image-related issues before a paper is published, ensuring the highest standards of accuracy in work published.
This paper surveys popular lightweighting methods for huge 3D models in online Web3D visualization. It highlights the importance of reducing data consumption and processing complexity to improve user experience.
Researchers created a unique dataset from flying discs, enabling students to learn basic signal processing tools and data visualization techniques. The experiment uses Doppler shift to determine velocity, providing valuable insights into acoustics.
Jessica Kendall-Bar, a UCSC Ph.D. graduate, has won the Science & SciLifeLab Prize for Young Scientists for her groundbreaking research on elephant seal sleep habits while at sea. Her work revealed that these marine mammals sleep bilaterally during deep dives and have a flexible sleep duration range-wide 'sleepscape.'
Researchers developed CL-iSCAT Microscope to visualize cargo trafficking in living cells, revealing traffic jams and collective migration. The technology enables real-time observation of millions of cargos, deepening understanding of cellular biology and potential medical discovery.
Researchers found that interactive data visualization improves information recognition and recall, leading to attitudinal change and reduced misinformation. The study suggests that journalists play a crucial role in making data accessible and attractive through interactive tools.
The Portuguese team TWIZ from NOVA School of Science and Technology secured 1st Place in the Alexa TaskBot Challenge 2 with a multimodal conversational agent. The winning team was led by João Magalhães and included CMU Portugal Affiliated Ph.D. students Diogo Tavares and Diogo Silva, who improved their visual interface as their biggest...
OmicsSuite is a desktop suite that integrates statistics and multi-omics analysis and visualization, enabling users to analyze large volumes of biological data in multiple formats. The suite provides step-by-step workflows for horticultural plant breeding and molecular mechanism studies.
A recent study has found that rural US counties have worse health outcomes than their urban counterparts, with declines in health measures accelerating over time. The researchers developed a publicly available dashboard to visualize health disparities and identify areas for policy interventions.
Researchers developed a new imaging technique using Bessel beam two-photon microscopy to detect stalling in brain capillaries, which can indicate acute neurological issues. The approach generates clear images of all capillaries every two seconds, providing better temporal resolution and enabling the detection of short stalling events.
A new project by JooYoung Seo at the University of Illinois School of Information Sciences aims to make data curation more accessible for everyone, regardless of abilities. The three-year grant will connect multimodal data representation with day-to-day reproducible workflows, enriching understanding and offering multiple perspectives.
A new open-source Python toolbox called simpleNomo has been made available, enabling the creation of nomograms directly from logistic regression coefficients. This facilitates the translation of research findings into practical use, particularly in resource-poor settings or areas without internet access.
The Global Atlas of Literacies for Health (GALH) is an interactive map displaying levels of health literacy and digital health literacy from evidence-based studies. The atlas provides a critical tool for literacy reform, enabling targeted interventions for marginalized groups.
The study mapped global wildland-urban interfaces, revealing previously undocumented regions in eastern Asia, East Africa, and South America. The findings suggest that these areas are crucial for managing environmental conflicts like wildfires and disease spread, and can inform better management practices.
A new geometric deep learning model called GFCN has been developed to detect stroke lesions in brain imaging scans. The model leverages rich geometric information to segment brain tissue and achieves higher segmentation performance than other neural network architectures.
A new study from University of Wisconsin-Madison researcher Nan Li shows that integrating art with data visualizations can make climate data more meaningful to viewers and reduce political divides. Participants who saw the painting reported stronger positive emotions, while those shown only graphs did not.
Researchers from Hokkaido University developed a centralized, interactive platform to explore and analyze chemical reaction pathways. The Searching Chemical Action and Network (SCAN) platform utilizes AFIR calculations to provide an interactive reaction pathway map that can be searched and viewed.
The VIS+AI framework enables seamless communication between human intelligence and artificial intelligence in visual analysis. It incorporates three iterative loops: interaction, execution, and intelligence optimization, allowing AI to adapt to dynamic data analysis processes guided by humans.
A virtual reality project, Qikiqtaruk: Arctic at Risk, visualizes the impacts of climate change in the Canadian Arctic. The project, created by National Geographic Explorers and local communities, uses immersive technology to transport users to an island experiencing rapid thawing and environmental changes.
The research aims to optimize layout, zoom, and user selection on mobile devices to display enough data for users to make sense of it. The team will also explore the impact of speech, touch, and tilting modes on enhancing user readability of data visualizations.
A new analysis by Duke University researchers finds that 17% of US households face growing water affordability challenges, affecting nearly half the population. The study recommends solutions such as utility customer assistance programs and policy reforms to address income inequality and infrastructure costs.
A study found that high-quality labeling of images boosts perceptions of training data credibility, leading to increased trust in AI systems. However, biases in the data can reduce trust in certain aspects.
A novel database, CycPeptMPDB, has been created to facilitate the development of drugs based on cyclic peptides. The database contains information on thousands of cyclic peptides and their membrane permeability values, enabling researchers to select candidate peptides that can penetrate human cell membranes.
Researchers at the University of Kansas propose a data project life cycle to equip students with essential data skills, including spreadsheet wherewithal. The approach emphasizes planning, acquiring, organizing, analyzing, and interpreting data in simple spreadsheets.
Researchers utilize liquid crystal droplets to visualize electric field distribution within microelectrodes, revealing rotational and translational behaviors under applied voltage. The technique provides high spatial resolution and detection accuracy, enabling defect location analysis.
Researchers at the University of Missouri are acquiring a new transmission electron microscope (TEM) with a $800,000 grant from the National Science Foundation. The TEM will allow them to conduct experiments in real-time and gain a greater understanding of material structure at an atomic level.
A new study by Dartmouth College researchers finds that sanctions on wealth managers would be more effective than asset seizure in crippling Russia's oligarchs. The research uses network science to map the connections between wealthy individuals and their financial experts, revealing a vulnerable network that can be disrupted with targ...
Researchers developed MoBIE, a user-friendly tool for sharing and exploring large image data sets. The tool allows for visualization and analysis of huge amounts of data from hundreds of sources, making it easier for researchers to analyze and interpret microscopy data worldwide.
A new modeling and visualization tool assists transit agencies in making the transition to electric buses, considering both cost and environmental equity. The bi-objective optimization framework model enables agencies to explore the interdependency of an electric bus transit system and a city's energy infrastructure.
A pilot study conducted at Brigham and Women's Hospital found that a low-cost computer vision system was feasible and well-received by employees. The system accurately detected mask adherence 100% of the time, with most participants experiencing a positive interaction.
A team of researchers from Tokyo University of Science developed a super-hierarchical and explanatory analysis method for magnetic reversal processes, enabling the detection of subtle microscopic changes. The new algorithm can predict stable/metastable states in advance and improve the reliability of spintronics devices.
The Miami Affordability Project tool has been updated to visualize the impacts of extreme heat on vulnerable communities in Miami-Dade County. The new data-driven mapping tool offers insights into climate risks associated with extreme heat, sea level rise, and flooding.
The Washington D.C. metro area's dashboard is being developed at PSU, allowing users to see all the data together in one place. The project aims to improve nonmotorized planning by providing clean, quality-checked biking and walking count data.
The Human Brain Project researchers have developed a unique method called 3D Polarised Light Imaging (3D-PLI) to visualize nerve fibers at microscopic resolution. By combining different experimental methods and integrating data into multilevel atlases, the team gained new insights into brain connectivity.
A data visualization tool, TrafficVis, assists law enforcement in identifying patterns in online escort advertisements that indicate illegal activity. The tool analyzes millions of ads to highlight common phrasing or duplication among them, helping analysts direct investigations and identify human traffickers and victims.
The CityAccessMap tool assesses urban infrastructure distribution and identifies areas for improvement, helping policymakers address socio-economic disparities. Disadvantaged communities face lower access to urban services, which can hinder social mobility and exacerbate inequalities.
A team of researchers has developed a novel technique using high-energy muon particles to track and visualize tropical cyclones. This technique, called muography, creates X-ray-like images of large objects, including atmospheric weather systems. The resulting images reveal density variations essential to understanding how cyclones work.
Researchers at Oak Ridge National Laboratory have developed low-temperature methods to purify molten chloride salts for energy storage, potentially making them suitable for storing solar thermal energy. They also created an online tool called VERIFI to track industrial carbon emissions and improve energy efficiency.
A new virtual hiking map for Jezero crater has been created using orbital imagery, terrain data, and real-time 3D panoramic views. The map allows users to explore the Martian surface in detail, including steep slopes and immersive environments.
A new project led by University of Illinois researchers aims to empower librarians with a toolkit for creating data-driven stories. The initiative, backed by an $99,330 grant, will provide easy-to-use templates for visualizing and structuring data narratives.
Steve Petruzza has been awarded a $600,000 NSF grant to develop tools and techniques for next-generation adaptive data layouts. This will address the increasing gap between computing power and data movement, enabling efficient access to large datasets.
Researchers at Baylor University have developed a method to create tactile graphics that can be visualized by both blind and sighted individuals, enabling universal access to scientific data. The study used lithophane and 3D printing to convert scientific data into glowing, high-resolution images that can be interpreted through touch.
A research team from the Complexity Science Hub Vienna has developed a stress test to identify weaknesses and strengths in healthcare systems. They used data from Austria to show how many resident physicians can drop out before patients don't find a new doctor within reasonable distance, highlighting regional differences in resilience.
A new platform called MoveApps enables scientists and wildlife managers to explore animal movement data with little more than a device and a browser. The system uses open-source code and allows users to create complex analyses with simple clicks.
A recent study published in Big Data & Society found that Democrats and Republicans in the US surveyed agree on the mathematical features of COVID-19 graphs, such as line slopes, but differ in their subjective interpretations. The researchers suggest that political affiliations may moderate how people interpret data, highlighting the i...
Researchers have used high-speed 4D neutron computed tomography to visualize the three-dimensional water distribution within fuel cells. This allows for optimized channel design and increased efficiency, as excess water can be drained without compromising membrane integrity.
Researchers used AI to compare brain images of individuals with Autism Spectrum Disorder to computer-generated simulations, revealing links between brain anatomy and symptoms. The discovery could help understand ASD causes and develop targeted interventions.
Researchers have created prototypes that provide text descriptions at varying levels of detail, enabling blind and low-vision individuals to drill down from high-level data to more detailed information using just a few keystrokes. The prototypes improved users' ability to identify patterns in the data and navigate through visualization...
Researchers created VoxLens, a JavaScript plugin that allows screen-reader users to interact with visualizations by gaining high-level summaries, listening to graph translations into sound, or using voice-activated commands. The tool shows improved accuracy and interaction time for users compared to those without access to the plugin.
Researchers developed an algorithm to classify patients into disease subtypes based on molecular changes, enabling more targeted treatments. The tool has shown potential in a study on non-alcoholic fatty liver disease, identifying lipid biomarkers for disease progression.
The review highlights advances in fundamental visualization methods for medical images in 3D, including scalar, vector, and tensor data. Medical professionals can quickly locate proper techniques using a taxonomy of medical problems and examples of health applications.
Health dashboards have proven their value during the COVID-19 pandemic and can now be used to track emerging public health threats such as cancer, HIV, and traffic injuries. Investing in people, processes, and technology is necessary to create effective dashboards that provide decision-makers with accurate and timely information.
Researchers found that showing total case counts makes people view the pandemic as more serious, leading to increased caution and reduced risk-taking behavior. Conversely, presenting new daily cases can make the data seem less impactful.
Researchers developed a new method for generating network layouts that allow for visualizing different information in two- and three-dimensional virtual space. This facilitates the exploration of complex protein interactions and provides more versatile, comprehensible representations of networks.
Researchers at University of Texas at Austin create first-ever biologically authentic computer model of HIV-1 virus liposome, shedding light on replication and infectivity. The study reveals key characteristics of the liposome's asymmetry and its role in shaping macroscopic properties.
Scientists monitoring hundreds of US streams with sensor technology are gaining insights into how freshwater vital signs shift in response to land development and climate change. The data, made publicly available, will help track changes over time and provide a better understanding of the 'pulse' of streams.
Researchers from Argonne National Laboratory have created a set of new practices to guide the curation of high energy physics datasets, making them more FAIR and reusable. The goal is to automate the finding and use of data for humans and streamline the development of AI tools for scientific discovery.
Researchers at Wellesley College found that people frequently misinterpret bar graphs, with one in five graph readers categorically misunderstanding averages. The 'bar-tip limit error' occurs when viewers interpret the tip of the bar as the outer limit of the data, despite the average being the balanced center point.
The NYU Tandon team is developing an AI 'virtual assistant' to provide just-in-time visual and audio feedback for complex tasks. The project aims to create a dynamic intelligent agent that engages with users, responding to their emotional state, location, and surrounding conditions.
The Forest Condition Monitor tool uses color-coded visualization to identify areas of high-stress forests across Europe, allowing for targeted conservation efforts and research. Scientists can study these regions to understand eco-physiological processes and warn forest owners of potential risks.