Articles tagged with Data Points
A new technology extracts branching development time from single-cell data, enabling a better understanding of cell development and differentiation events. This method uses topological grammars and has been used to analyze thousands of cells from various organisms.
A new research finding published in Nature has located the source region for about half of the new CFC-11 emissions, which are attributed to an increase of around 7000 tons per year in trichlorofluromethane added to the atmosphere since 2013. This is primarily linked to new production from eastern China.
Research published in BMJ Open reveals India's total health workforce density is estimated to be 29 per 10,000 population, but only 16 for trained workers. The study found an alarmingly large presence of unqualified health professionals, with 20% of doctors lacking required qualifications.
Researchers have introduced a new wearable audio dataset with up to 80 microphones, which can simulate different hearing scenarios and improve the performance of devices like smart headphones. The data set is now available for free under an open-access license, making it easier for future researchers to access and build upon.
Researchers developed FitRec, a deep learning tool that analyzes past performance to predict speed and heart rate. The tool identifies important features affecting workout performance and recommends alternate routes for runners to achieve specific target heart rates.
Research reveals that white sharks immediately vacate their preferred hunting grounds when orcas arrive, resulting in no shark sightings for up to a year. Elephant seal colonies also indirectly benefit from these interactions, with significantly reduced predation events during the orca presence period.
A NASA study has verified recent global warming figures, showing high consistency between satellite-based AIRS data and station-based GISTEMP analysis over the past 15 years. The findings also suggest that surface-based data may be underestimating temperature changes in the Arctic, indicating faster warming at the poles.
Researchers developed a series of models that strongly predict how terrain slope affects human travel rates, accounting for variability in movement. The study used crowdsourced fitness-tracking data from nearly 30,000 people, resulting in more advanced models than previous ones.
A study by Hisahiro Naito and Annie Mwayi Mapulanga found that deforestation in Malawi is associated with lower safe drinking water usage, despite increased runoff. The authors estimate a 9% decrease in precipitation equivalent to a 14% loss of forest area, highlighting the importance of preserving forests for water source protection.
Citizen scientists in Arizona mapped three intermittent rivers, collecting ecological and hydrological data on wet and dry trends. The datasets reveal significant decline in Cienega Creek and Agua Fria River water levels, while the San Pedro River showed minimal changes due to a groundwater management plan.
A study found that popular health apps share user data with 55 unique entities, including companies and service providers, posing significant privacy risks to consumers.
A team of Columbia professors has designed a data-driven model to predict Li-Ion battery performance, aiming to reduce error rates from five percent to one percent. The model can help extend battery life and improve electric vehicles' efficiency by predicting charge levels and identifying weak cells.
Research found that adolescents who witness parental conflict experience lower self-efficacy, but success in school and peer support can compensate. Schools may be an untapped resource for helping teens develop self-efficacy, suggesting a broader developmental context beyond academics.
Researchers propose a new method to measure and track plant and animal populations, known as the 'hypercube,' which can generate health stats for the planet. The goal is to provide policymakers with accurate information to make sound conservation decisions, including assessing progress toward national and international policy goals.
UCSF researchers created a blockchain-based system to ensure the integrity of clinical trials data, creating an immutable audit trail that makes tampering visible. The system allows for real-time reporting of adverse events and protects data from corruption.
A new system, Shenango, developed by MIT researchers improves data center efficiency by detecting struggling apps and allocating idle cores to handle their workload. The system reduces tail latencies while achieving high efficiencies, potentially boosting CPU utilization rates from 60% to 100%.
New data reveals a distinct Zealandia-Antarctic mantle domain, formed by deep mantle upwelling and volcanism after Gondwana breakup. The Australian-Antarctic Ridge has isotopic compositions unique to this newly defined domain.
A mathematical model of a train's movements during the 1906 earthquake suggests ground shaking was equivalent to at least a 'severe' level. The calculations are consistent with previous simulations and provide insights into future earthquakes in the region.
Researchers at TUM developed a model to compute water level impacts on river sections by extreme weather events, enabling extrapolation of almost any location in the entire river system. Statistical methods linked satellite data from repetitive and SAR altimetry satellites.
The tool uses Bayesian modeling to automatically generate statistical models from raw data, addressing a bottleneck in the data science field. By providing a user-friendly interface, it enables nonstatisticians to uncover insights and patterns in data, making data science more accessible to those without extensive expertise.
Economists offer a new view of how cartels work, finding that firms don't need extensive information-sharing to collude. In fact, reduced transparency can help firms undercut cartels and gain market share, according to the study published in the Journal of Political Economy.
Researchers use information theory to identify complex anomalies in high-resolution ice core data, allowing for more accurate analysis of climate records. The technique enables the detection of small anomalies that could indicate significant climate events or errors in data processing.
A new study by MIT researchers finds that compiling massive, anonymized datasets about people's movement patterns can make it easier to discern users' identities. The study shows how merging different types of location-stamped data can lead to a high matchability success rate, increasing the possibility of deanonymizing real user data.
A recent study by the University of Alabama found that female CEOs are about 45% more likely than male CEOs to be dismissed from their firms. Performance improvements do not protect female CEOs from dismissal, unlike male CEOs.
Researchers discover Chinese pyramids exhibit surprising orientation patterns, defying expectations of traditional funerary practices. The study suggests that ancient Chinese emperors intentionally aligned their pyramids to the star Polaris, reflecting a deeper understanding of celestial movements and astronomy.
Researchers found a strong association between maximum body mass index over 24 years and risk of death. The study suggests that obesity prevention is crucial in reducing the risk of early death.
A recent study of peripheral pulse oximeters found that non-approved devices accurately measure oxygen saturation above 90%, potentially ruling out hypoxemia. However, below 90%, medical-grade pulse oximeter measurements are recommended for accurate patient management decisions.
A predictive model suggests common ragweed will expand its range into major northeast metro areas due to climate change, affecting millions with hay fever and asthma. The study found potential expansion at the northern margins of its current distribution, particularly in the northeast U.S.
Research found that people have a tendency to dichotomize data distributions and ignore differences in the degree to which instances differ from an explicit or inferred midpoint. This binary bias influences how people interpret sequences of information across various contexts and graphical displays.
Researchers from Tokyo Metropolitan University have developed a fast and accurate method for estimating local geomagnetic fields using machine-learning techniques. This approach can detect changes caused by earthquakes and tsunamis, enabling unprecedentedly early warnings before these natural disasters strike.
A new model predicts retail failure with 80% accuracy by analyzing social media and transport data from 10 cities. The model suggests that venues popular around the clock and in diverse neighborhoods tend to succeed longer.
A joint research team from Germany, Austria, and Denmark is developing a new cloud infrastructure to secure patient data, giving patients control over their own data. The system will enable hospitals to share learned representations without transferring sensitive data, improving data sharing and collaboration among institutions.
Researchers found similar patterns of performance decay in male and female tennis players. As power declined, accuracy tended to increase. The study used data on top players from ATP and WTA tours.
A novel encryption technique combining homomorphic encryption and garbled circuits secures data used in online neural networks without significantly slowing their runtimes. This approach holds promise for using cloud-based neural networks for medical-image analysis and other applications that use sensitive data.
NASA's Aqua satellite captured Hurricane Hector's large eye after it passed the Hawaiian Islands. The storm's cloud top temperatures were as cold as minus 70 degrees Fahrenheit, indicating strong storms capable of heavy rain. A tropical storm watch is in effect for Johnston Island, with swells expected to produce dangerous waves.
The US Census Bureau's economic census, conducted every five years, will now use the North American Product Classification System (NAPCS) to standardize vital economic statistics. This change aims to improve data precision and provide businesses with a sense of confidence in measurement accuracy.
A new study by the University of Florida Health found that Florida's obesity rate is nearly 10 percentage points higher than initially reported, at 37.1%. The study analyzed data from over 1.3 million adults and found significant geographic variation in obesity rates across the state.
A new FotoQuest Go app allows citizens to collect pictures and information on land use and land cover in Europe. The app helps monitor changes in the local environment, providing valuable data for researchers. Citizen scientists can earn money by completing quests and contributing to the project's financially supported campaign.
NIST has released a new repository of drone forensic images, providing investigators with a valuable tool to track and analyze drones used in smuggling and crimes. The images, created by VTO Labs, contain detailed data on 14 popular drone models, including serial numbers, flight paths, and onboard camera footage.
The 'Wadi Abu Dom Itinerary' project has made its archaeological findings from Sudan available online, allowing the public to explore and compare data with other researchers. The project's geoinformation system enables users to view point data and area data for all recorded structures and access additional information.
Lithium ions embed in host particles during charging, causing expansion and stress. The team used Digital Volume Correlation routine to measure internal changes in volume after lithiation, tracking electrode deformation at each point.
A new algorithm developed by UCLA researchers more accurately predicts which people will survive heart failure and for how long. The algorithm provides significantly better predictions than current methods, allowing doctors to make personalized assessments and potentially reduce healthcare costs.
Scientists have found a new type of magnetic event, reconnection, occurring in turbulent plasma near Earth. The discovery bridges the gap between magnetic reconnection and turbulence, shedding light on dynamic space weather systems.
Researchers used satellite data to identify a major magma supply into a reservoir extending almost two miles from the crater of Masaya Volcano in Nicaragua. The findings suggest that volcanoes can be fed magma through nearby underground channels, helping explain how they erupt without warning.
Researchers studying water quality around hydraulic fracturing found a blueprint for moving conversations forward through publicly available data and collaboration. The Shale Network has fostered dialogue among diverse stakeholders, including citizens, watershed groups, and energy companies.
Researchers have developed biogeochemical profiling floats to collect data on phytoplankton blooms, identifying the starting point for explosive spring blooms. These robots provide unparalleled data on ocean conditions, including light intensity, suspended particles, and chlorophyll concentration.
A Drexel University public health study found that Mexican immigrant health access plummets after crossing into the US, and remains low even when returning to Mexico. The study revealed a significant drop in healthcare access, from 78% to 47-60%, among Mexican adults before and after migration.
Researchers from Russia, China, and India are developing a software to analyze 3D images of infrastructure objects using laser scanner survey technologies and photography. The software will aid in detecting defects, building information modeling, and renovation at all stages of an object's lifecycle.
A new recommendation algorithm uses cosine similarity to predict customer preferences in high-dimensional spaces, leveraging the angle between user rating lines. The approach balances signal gain with noise introduction, resulting in more accurate predictions and better performance, particularly when ratings data is sparse.
The new detector module MultiFLEXX enables faster data collection by measuring multiple angles and energies simultaneously, reducing measurement times by a factor of 10. This results in significant gains in acquisition efficiency, particularly useful for applications involving temperature or magnetic field mapping.
The HADES system creates a simulated environment that alters certain data points, leading hackers to doubt the authenticity of the information. This allows researchers to gather actionable intelligence and detect malware more effectively.
Researchers have developed a novel omics tool to explore the interaction between genetics, environment, and disease. By integrating large datasets from the BXD mouse population, scientists can identify gene-phenotype associations and make personalized treatment predictions.
A review of 13 studies on war's impact on pregnancy found that mums-to-be in conflict areas are at higher risk of giving birth to underweight babies. However, the evidence for other complications like miscarriage and premature birth is less clear.
Researchers discovered that humble leaders foster higher levels of creativity in teams when team members value open communication and collaboration. Humble leaders acknowledge their limitations, facilitate information sharing, and broaden the scope of team skills.
The UW Department of Astronomy is joining the ZTF team to develop new methods for identifying celestial objects in the night sky. The ZTF's massive real-time data stream will impact studies of stars, our solar system, and the evolution of our universe.
A new collaboration tool, FeatureHub, enables thousands of researchers to contribute to data analysis projects by automatically evaluating proposals and identifying useful features. The system has been tested against top-scoring entries in a Kaggle competition, producing results within three points of the winners.
Researchers developed an efficient technique to compensate for position errors in a spherical near to far-field transformation for long antennas, using minimum near-field measurements. The method achieves accurate reconstructions of uniform samples from non-uniform ones, enabling the evaluation of input data needed for traditional NTFFT.
Computer scientist Jelani Nelson finds Johnson-Lindenstrauss lemma best approach to reduce data dimensionality. The theorem helps speed up algorithms across various fields.
The Weddell Sea has formed a large ice-free area, supporting the Kiel climate model. This natural phenomenon plays a crucial role in sea ice formation and deep water circulation. Scientists closely monitor its occurrence to improve climate models and differentiate between natural variability and human-induced changes.
A computer program analyzed estimates from an agribusiness expert, improving the accuracy of forecasts and leading to a 2-3% increase in profits and a 6-7% decrease in costs. The model quantifies expertise by comparing expert judgments with data collected in the field.