Articles tagged with Data Availability
Swine waste lagoon construction dates have been established for the first time using satellite imagery, providing insights into their environmental impact. The study focused on North Carolina and found that approximately 16% of lagoons were already in place before 1987.
Researchers from Universidad Carlos III de Madrid developed an open-source development kit (PDK) to create solutions for businesses using personal data. The tool allows companies to exploit user data in a respectful way, promoting individual control over their data.
A study by Academic Analytics Research Center found a significant increase in journal article publications (64%) and decrease in book publications (34-54%) across 12 Social Sciences disciplines from 2010 to 2020. This shift may impact library acquisitions strategies and affect humanities-related fields.
A new dataset examines publication patterns across 170 academic disciplines to provide more nuanced comparisons. The data reveals significant variation in publishing activity and venue preferences among scholars.
The HTRC will create a framework for researchers to build and implement their own tools to access the HathiTrust data more directly. The project aims to enable users to interact with the rich data extracted from the HathiTrust Digital Library's collection of over 17.5 million digitized volumes.
Editors at The BMJ argue that Covid-19 vaccine and treatment trial data should be fully available for public scrutiny. Despite the global rollout of vaccines, participant-level data remain inaccessible to doctors, researchers, and the public, sparking concerns about the lack of transparency.
Scientists have developed a mathematical method to interpret data on underground water flows, providing more efficient and accurate imaging for planning construction works and inspecting dams. The technique has great potential for locating water reservoirs in dry areas and tapping into this resource for agricultural and industrial needs.
Researchers at Oak Ridge National Laboratory have developed a retrofitted commercial refrigeration container to keep COVID-19 vaccines at ultra-low temperatures during transport. They've also identified and improved the usability of data to accelerate innovation in the bioeconomy, and investigated piezoelectric materials for radiation-...
The study estimates the risk of severe outcomes among symptomatic children aged 0-17 years in the European Union, with hospitalization rates highest among youngest age groups. The authors also note that most children with symptomatic COVID-19 have a low risk of death or hospitalization.
A new study by the University of Plymouth has demonstrated the potential of gait authentication to protect smartphones from cyber crime. The system achieved an average accuracy rate of around 85% in recognizing individuals' stride patterns, with rates rising to almost 90% when participants were walking normally and fast.
The Natural History Museum's digital collection has been downloaded over 28 billion times, contributing to advancements in food security, biodiversity conservation and medicine discovery. The museum's digitisation efforts are expected to have a tenfold return on investment, with benefits exceeding £2 billion over 30 years.
A new dataset from Canterbury earthquakes provides over 15,000 case histories for liquefaction, significantly augmenting model training and testing. The dataset enhances hazard assessments and improves engineering solutions in earthquake recovery, benefiting society as a whole.
A new machine learning-based tool enables automatic ground deformation detection at a global scale, improving earthquake detection and understanding tectonic fault behavior. The approach reveals slow earthquakes twice as extensive as previously recognized, shedding light on the physics of active faults.
A new Digital Solutions Hub will provide a gateway to interconnected toolkits and resources, integrating existing data sources on pollution, flooding, biodiversity, geology, carbon capture, and environmental health. The hub aims to improve decision-making by providing cross-sectional data for informed decisions in various sectors.
Researchers at Pusan National University and Columbia University reanalyzed poverty estimates in unmarried parent families using the 'Supplemental Poverty Measure' (SPM), accounting for specific criteria. The analysis revealed significant drops in poverty rates over time, particularly for single-mother families.
A recent study published by the University of Ottawa found that over 1 in 20 Canadian children do not eat lunch on school days, with older kids and those from food-insecure households being the most affected. The study also reveals that children living in food-insecure households are twice as likely to miss lunch compared to their peers.
Researchers at Penn State used traffic cameras and mobile device data to monitor COVID-19 cases in Centre County, PA. Movement data preceded increases in cases, suggesting that behavioral interventions like stay-at-home orders can be effective in controlling transmission.
The Human Brain Project unveiled its 8th annual Summit with presentations of new scientific insights and technologies. The project has developed a powerful new infrastructure called EBRAINS, which will serve generations of brain scientists.
The StEER Network's post-event reconnaissance helped assess building damage from Hurricane Michael, revealing widespread wind- and surge-induced damage. The dataset has been used to develop data-driven fragilities, train machine learning applications, and inform policy and practice improvements for coastal communities.
The USC Stevens INI is partnering with Vanderbilt University Medical Center and the University of Miami to merge Alzheimer's disease data from over 30 datasets, producing a large-scale, standardized set of clearly defined data. This harmonization will enable large-scale machine learning analysis to better characterize the genetic basis...
West Virginia University researchers aim to create better connections with underserved populations to the blue economy, which defines sustainable use of ocean resources. They will analyze data and explore ways to package it in a way that encourages these traditionally underserved groups to utilize the blue economy.
Researchers used extensive 2D and 3D broadband seismic reflection data to visualize and understand the subsurface structures of the Orphan Basin. The study provides context for future assessments of source rock, reservoir, and seal strata in oil and gas exploration.
Researchers at PSU and UT Arlington will assess how crowdsourced data can help establish pedestrian activity on streets. The study aims to provide a more accurate alternative to traditional counting methods, enabling safer studies and better urban planning.
A team of NTU Singapore scientists developed a predictive computer model called NSGA-II, which proposed strategies to reduce COVID-19 infections and deaths by an average of 72%. The model recommended timely and country-specific advice on interventions such as home quarantines and social distancing measures.
Researchers successfully detected local mammals and birds by collecting 18 litres of water from a two-kilometre stretch along the river Mulde. The team identified 50% of fish species, 22% of mammal species, and 7.4% of breeding bird species in the region.
The National Institute on Aging has expanded its network of cutting-edge Alzheimer's disease and related dementias centers, with two new centers in North Carolina and Texas. The Duke/University of North Carolina ADRC will focus on understanding age-related changes across the lifespan and identifying disparities in dementia among differ...
The world's largest repository of raw genomic sequences is missing critical data necessary for monitoring and preserving biodiversity. Only 14% of archived datasets contain information about when and where organisms were sampled, highlighting the need for community standards to preserve metadata.
Scientists at Anglia Ruskin University have created a new way to experience Yellowstone's geysers through classical music. By sonifying the physical characteristics of the geothermal landscape, they've turned vibrations into melodies, harmonies, and rhythms. The result is an evolving musical representation of the earth, water, and steam.
Researchers have discovered a way to induce magnetic waves in antiferromagnets using ultrafast laser pulses, potentially leading to faster and more efficient data storage. This technology could endow materials with new functionalities for energy-efficient and ultrafast data storage applications.
A new study showcases the COVIDome Explorer, a public online portal for real-time COVID-19 data analysis, visualization and sharing. The platform enables rapid hypotheses testing, hypothesis generation and discoveries by experts and non-experts.
Researchers found that states have implemented new autism-specific Medicaid programs, with the most common type being the 1915(c) waiver authority, providing home and community-based services. The study suggests that further replication of successful efforts is needed to improve access to services for individuals on the autism spectrum.
A single-center retrospective study found that AI-CAD reduced recall rates and improved accuracy compared to digital mammography (DM) and DBT. The study showed lower recall rates and higher accuracy for DM with AI-CAD, indicating a practical addition to lowering false-positive findings.
A Yale study has identified significant gaps in biodiversity maps, limiting effective conservation decisions globally. The researchers created regional trends maps to assess the distribution of 31,000 terrestrial vertebrates, highlighting opportunities for citizen scientists and government agencies to support biodiversity monitoring.
A new warning system has been proposed to address increasing heat waves due to climate change, taking into account evolving heat thresholds and longer hot seasons. The system aims to prevent heat-related mortality outside typical heat wave periods through health alerts.
A 48-year record of Australian collecting trips has been made publicly available, providing accurate details on specimen collection dates and locations. The data is now accessible via the Zenodo open-data repository in Darwin Core format.
The EU-funded ADMIRE project aims to develop intelligent adaptive storage systems for high-performance computing, improving application runtime and data access. Fourteen institutions from six European countries are working together to create a scalable and efficient system that can meet the needs of data-intensive applications.
Shiloh Deitz's dissertation project focuses on filling the data gap for accessible pedestrian routing and tools, particularly for persons with limited mobility. The research evaluates AI methods and critical geoAI to improve data quality and enhance independent travel options.
A new study suggests that replacing high-risk police officers with less likely to generate use-of-force complaints would reduce complaints by just 6 percent over a 10-year period. Researchers found that early warning systems and broader accountability measures are more effective in reducing misconduct.
High-dose intranodal lymphangiography with ethiodized oil has been shown to be a safe and effective procedure for treating high-output postsurgical chylothorax, with a success rate of 83%. The procedure involved injecting higher doses of ethiodized oil, which led to resolution of symptoms in most patients.
A novel prediction model predicts US counties at high risk of future overdose death outbreaks, allowing for preemptive deployment of public health resources. The tool improves on existing methods by incorporating neighboring county data, predicting geographic spread of the overdose epidemic.
The U.S. Army Research Laboratory has developed a new formula that applies to a broad range of legged, wheeled, and tracked systems, showing they are as efficient as other ground mobile platforms. The findings have implications for designing future terrestrial robots for defense applications, particularly in challenging terrain.
The project aims to refine infrastructure, drive sustainability, and strengthen the inclusion of underrepresented voices in humanities scholarship. The expanded collaboration will enable new possibilities for historical research, genealogical discoveries, and a deeper understanding of the past.
A new framework for data quality is proposed to address the challenges of ensuring high-quality ecological data. The framework aims to encourage best practices among collectors, curators, and users of ecological data, leading to higher-quality data with fewer errors.
Researchers uncovered a hidden fault mechanism in the Shumagin Islands region of Alaska, which led to an unexpected strike-slip earthquake. The discovery suggests that areas considered uncoupled or safe from earthquakes may actually be prone to other types of seismic activity.
Researchers from Curtin University discovered the first solid evidence of the start of the supercontinent cycle, finding that plate tectonics operated differently two billion years ago. The study suggests that a single supercontinent may not have existed before this time period.
A recent study found that many Alexa skills have misleading privacy policies, allowing third-party developers to access users' personal information. The researchers also demonstrated that developers can change the code on the back end of skills after approval, posing a significant risk to user privacy.
A study of 48 years of auto recalls found that carmakers delay announcements until after a competitor issues a recall, even if unrelated to similar defects. This suggests a significant financial incentive for firms to cluster following recalls behind leading ones.
The CovMT system processes publicly available data to detect mutations and mutation fingerprints, enabling tracking of virus evolution across the globe. It also predicts disease severity based on mutational fingerprints and correlates with patient data from GISAID.
A recent study published in Microplastics and Nanoplastics journal concludes that marine litter in coastal systems has remained constant since 2019, with some components showing a decrease. The steady state scenario raises questions about the transfer of plastic litter to remote areas or degradation into smaller fragments.
Researchers have developed a new statistical method called Sum-Share that exponentially increases the ability to discover genetic insights. The method uses summary-level data from multiple sites to generate significant insights, outperforming existing methods in detecting genetic variations associated with cardiovascular conditions.
The BioAFMviewer software allows for the computational emulation of AFM scanning on any biomolecular structure, generating simulated graphics and movies. This facilitates the comparison of high-resolution structural data with AFM results, aiding in the analysis and interpretation of experimental outcomes.
Researchers review factors contributing to disconnect between created and utilized marketing data, highlighting overlooked sources for growth opportunities. The study explores the potential of biometric and social network data to support customer acquisition, relationship development, and retention.
A new study from the University of Illinois at Urbana-Champaign found a significant increase in excess deaths among men between 15 and 59 years of age, and women between 25 and 44. However, females between 5 and 14 saw a decrease in deaths, suggesting a potential protective effect of the shutdowns on young girls.
A new study from the University of Michigan suggests that localized data on childhood vaccination coverage can help predict and prevent measles outbreaks. The research found that when people who are not vaccinated cluster geographically, the probability and size of an outbreak increase.
Researchers at UTA are working on a framework to share sensor data through the cloud, reducing costs for businesses and individuals. The sensing-as-a-service model provides incentives for data holders to participate, allowing flexibility and preserving anonymity.
A team of researchers, led by Gautam Das at the University of Texas at Arlington, is working on a human-in-the-loop framework to optimize the data science pipeline. This approach involves humans adding context to datasets, which can help computers determine what information is relevant, making the process faster and less labor-intensive.
The research project aims to share information and strategies with communities showing stress or decline to improve quality of life. The team will develop a Community Information Ecosystem to collect data on residents' perceptions of quality of life, which has remained stable or improved in shrinking small towns.
A Northwestern University-led team has developed an AI-powered platform to make federal court records publicly available, enabling researchers to analyze and evaluate the justice system. The tool aims to provide quantitative feedback to fix variations in judges' decisions on fee waivers, ultimately promoting fair access to justice.
The Stephen S. Fuller Institute is updating Arlington County's affordable housing master plan using the latest available data from the American Community Survey. The researchers will analyze housing needs, affordability, and population forecasts to provide a comprehensive set of statistics for county officials.
A new method developed at Carnegie Mellon University has improved the accuracy of tracking systems for autonomous vehicles. By training on larger datasets and detecting its own errors, the system can learn to do the right thing without being told what it is.