Articles tagged with Data Sets
A new AI method combines incomplete medical datasets to spot causal relationships, allowing researchers to analyze expensive or difficult-to-run trials. The algorithm uses quantum cryptography-inspired principles to determine the most disordered variable as the cause.
A research project compares records from Augsburg and Aberdeen to analyze city administrations, evolution, similarities, and differences. The collaboration aims to develop new analysis techniques and share ideas on challenges and solutions.
A new interactive map from Harvard University reveals nonviolent uprisings are more successful in achieving their goals, contrary to long-held assumptions. The dataset covers 1945-2014 and includes hundreds of maximalist campaigns globally.
Researchers develop technique to evaluate reliability of patient risk models, which often fail to accurately predict outcomes. The method generates an unreliability score, indicating when a model's predictions are less trustworthy, helping doctors avoid ineffective or unnecessarily risky treatments.
Researchers developed RoadTagger to predict lane counts and road types with high accuracy, helping improve GPS navigation in unfamiliar locations. The model uses a combination of neural network architectures to automatically tag road features, enabling the creation of accurate digital maps.
The Ruhr-University Bochum team used a combination of data analytics and physical models to predict material properties, winning second place in an international machine learning competition. Their algorithm was published in NPJ Computational Materials and has been shown to be transferable to different material classes.
Researchers found that standard pathology tests provide better information on likely outcome and best treatment options for patients with bladder cancer than molecular subtyping techniques. The study suggests that more study is needed before molecular subtypes are used to guide patient care.
Researchers from the Chinese Academy of Sciences conducted model perturbation experiments to improve monsoon predictions. The study sheds light on the complex atmosphere-ocean-land interactions driving monsoon systems and their regional variations.
Researchers at Dartmouth College and Harvard Medical School have confirmed that single-cell eukaryote Stentor roeseli can make complex decisions, demonstrating avoidance behavior and a hierarchy of responses to stimulus. The study uses modern technology to recreate an early experiment that was debunked decades ago.
A team from Colorado State University has created a novel dataset, AquaSat, by merging large public datasets of water quality observations with satellite imagery. This 'symphony of data' provides over 6 million water quality observations, unlocking powerful new applications in remote sensing of water quality. The study aims to improve ...
A new analysis of a dataset of over 70,000 North American migratory birds found that body size decreased in all 52 species, with statistically significant declines in 49 species, while wing length increased in 40 species. The study suggests that warming temperatures may be causing these changes as an adaptation to climate change.
Researchers developed AI models for chest X-ray interpretation that can detect fractures, nodules, opacity and pneumothorax as effectively as experienced radiologists. The models were trained on large datasets and evaluated using a panel of radiologists to increase expert consensus and accuracy.
Researchers can now visualize data from samples containing tens of millions of cells with unprecedented resolution, pinpointing previously undetectable features that distinguish diseased samples from controls. This advancement may lead to discovery of novel cell types to therapeutically target diseases.
A recent study by researchers at SESYNC found no concrete evidence to attribute the effects of the Justinianic Plague to the pandemic. The team examined diverse datasets, including written sources, inscriptions, and pollen samples, but found that trends continued without change before and after the plague outbreak.
A new method accelerates template creation for medical-image analysis, generating brain scan templates based on patient attributes such as age and sex. The model can synthesize atlases from sparse data, improving disease diagnosis accuracy.
A new program, CRUP, simplifies analysis of enhancer regions and their target genes in the genome. The tool identifies active enhancers and links them to their respective genes, helping researchers understand complex diseases.
Researchers found that satellite data sets are reliable substitutes for reproducing water vapor features over the Tibetan Plateau, while reanalysis data sets have varying quality depending on time scales considered. A skill-weighted ensemble mean of reanalysis data shows promise for future studies.
A new machine learning method called SNIPER has successfully applied to nine cell lines, providing missing information for how DNA is organized in the cell nucleus. This enables scientists to study differences in spatial organization related to subcompartments across those lines.
Researchers at MIT have compiled a comprehensive dataset of robotic pushing dynamics, capturing the behavior of hundreds of different objects. This dataset, called Omnipush, enables robots to learn fundamental object manipulation tasks, such as reorienting and inspecting objects, by training on a diverse range of pushing scenarios.
Deforestation in the Amazon region has been shown to increase malaria transmission by 3.27% for every 10% increase in forest loss. This effect is more pronounced in areas with limited remaining forest, highlighting the interconnectedness of environmental and human health.
Cognitive psychology researchers found substantial variability in experts' judgments on the same data, suggesting a serious inference problem. The study aimed to test the accuracy of theoretical conclusions made by researchers and found that some applied complex techniques, while others made misleading conclusions.
A newly funded project aims to transform urban systems by developing a system for streamlining and managing vast datasets. The 'sketching' algorithm extracts essential information from raw data, creating abbreviated versions that can be consulted for research purposes.
Researchers analyzed fossil data to discover nearly all early African herbivore communities were unique before 700,000 years ago. This suggests the earliest humans lived in non-analog ecosystems that differ from modern Africa's ecosystems.
Researchers create formula to calculate resolution of protein structures based on viewing angles, enabling better methods for imaging proteins. This new approach helps determine the best setup for experiments to improve cryo-EM imaging.
A study of over 37,000 users reveals that smartphone typing speeds are decreasing the gap between mobile devices and physical keyboards. Young people aged 10-19 years old can type around 10 words-per-minute faster than their parents' generation.
The new laboratory combines existing and new facilities, fostering innovative scientific programs, idea exchange, and creative development in ground-based optical-infrared astronomy. The lab enables breakthrough discoveries in astrophysics by developing state-of-the-art observatories and providing data products for a diverse community.
A study found that water contamination violations associated with immediate health risks led to a 14% increase in bottled water sales. However, low-income rural communities did not show a significant response to nitrate violations, which pose a risk to infants.
Since 1970, North America has experienced a significant decline in bird populations, with nearly one in four species losing abundance. The study attributes this loss primarily to 12 bird families, including songbirds, and highlights the need for conservation efforts to prevent further declines.
Researchers develop novel data analysis method to evaluate single crystal structures, reducing researcher effort and iteration time. The method uses Bayesian inference to estimate parameters from preliminary data, allowing for precise crystal selection and measurement design.
A study published in the Journal of the American Heart Association estimates that black men have a 30% lifetime risk of peripheral artery disease (PAD), while Hispanic men have a 22% risk. The researchers developed a risk calculator to identify high-risk patients who may benefit from PAD diagnostic screening.
Researchers at Janelia Research Campus have mapped over 1,000 neurons in the mouse brain, tracing their branching routes to understand how messages travel through it. The preliminary data reveal new clues about the mouse brain's wiring diagram, including clusters of neurons and regions where they can't be easily delineated.
A recent study analyzed 100,000 localized seismic events to search for patterns in the data. Researchers found that earthquakes of differing magnitudes share more similarities than previously thought, suggesting predictable characteristics may aid forecasting.
The Blue Brain researchers have generated statistical instances of the micro-connectome of 10 million neurons, a model spanning five orders of magnitude and containing 88 billion synaptic connections. This model reveals a surprisingly complex structure at cellular resolution, tying together neurons in different regions and at opposite ...
A new study suggests a possible link between environmental pollution and an increase in psychiatric disorders. Poor air quality was associated with higher rates of bipolar disorder, major depression, schizophrenia, and personality disorders in both US and Danish populations.
Researchers evaluated satellite and reanalysis PWV datasets against radiosonde observations in Central Asia, finding ERA5 and MERRA2 perform better in climatological characteristics and interannual variations. The study provides valuable information for future research on water cycle in Central Asia.
The All of Us Research Program has made strong progress in advancing precision medicine by collecting diverse participant data. The program aims to include 1 million or more people from diverse communities, with over 230,000 participants enrolled and 80% from underrepresented groups.
A new analysis of state, county, and federal data shows a significant decline in criminal sentencing racial gaps since the mid-1990s. The overall sentence length gap between whites and blacks in federal courts decreased by more than 80% between 1996 and 2016.
The project aims to advance research by creating a resource for researchers around the globe to access data on craniofacial development and dysmorphologies. Craniofacial conditions affect approximately 600,000 people in the US, with cleft lip and palate being amongst the most common birth defects.
Researchers from the University of Maryland developed a novel approach to generate questions that challenge AI language models. By collaborating with humans and computers, they created a dataset of over 1,200 computer-stumping questions that revealed six different language phenomena consistently stumping computers. This work provides i...
A recent study published in The Lancet found an AI model can identify patients with intermittent atrial fibrillation using a 10-second ECG test. The technology achieved an overall accuracy of 83% and has the potential to aid doctors investigating unexplained strokes or heart failure.
Researchers demonstrate that even anonymized datasets can be traced back to individuals using machine learning. The study shows that allowing data to be used for AI training while preserving people's privacy requires more than de-identification techniques.
Researchers at Rush University Medical Center have developed a new composite ranking system that aggregates data from five leading hospital rating systems into a single score. This system aims to provide consumers with a clear and easily understandable measure of hospital quality, helping them make informed decisions about their care.
Researchers developed an AI-based system, SpoilerNet, to flag spoilers in online book and TV show reviews. The tool achieved 89-92% accuracy in detecting spoilers, with most errors caused by distracting words.
A new study using satellite data reveals large inequalities in progress towards universal access to electricity in sub-Saharan Africa. The research provides a high-resolution gridded dataset to assess electrification in the region, enabling policymakers to prioritize support for infrastructure expansion and track progress over time.
The neuroimaging community has made significant strides in collecting large-scale datasets, but many contain insufficient data for reliable measures of brain connectivity. Increasing reliability can dramatically reduce sample size requirements, improving the field's ability to detect effects and address reproducibility concerns.
Researchers developed a system called Northstar that runs on touchscreens and enables users to manipulate datasets, uncover trends and patterns. The new component VDS instantly generates machine-learning models to run prediction tasks, democratizing data science and making it accessible to everyone.
A new system uses a single labeled scan and unlabeled scans to automatically generate a large dataset of distinct training examples. The system's approach learns anatomical, brightness, and contrast variations from unlabeled scans to synthesize realistic and accurately labeled scans.
A UCLA-led research team developed FEAST, a faster and more accurate tool to determine microbiome origins. The software can analyze large genetic information datasets in just a few hours, offering insights into the unseen ecological processes affecting human health.
A team of researchers from the University of Illinois has developed a new technique to predict high-yielding crop traits by stacking six machine learning algorithms, improving predictive power by up to 15 percent. The approach empowers scientists to leverage computational analysis to translate their datasets into beneficial results.
Engineers have released a freely available quality-controlled dataset from 1,287 residential installations across Australia to improve solar forecasting and grid management. The dataset provides six months' worth of measurements from three different cities, allowing for controlled analysis and spatial analysis.
A study of English secondary school placement systems found that parents in areas with more limited choices tend to make less ambitious school selections. Despite making more choices, students from minority backgrounds have lower chances of receiving an offer from their first-choice school.
Researchers have created a new dataset called BOLD5000, which comprises brain scans of four volunteers viewing 5,000 images. This dataset allows cognitive neuroscientists to leverage deep learning models that have improved artificial vision systems.
Shambhala helps process and compare RNA-Seq data from different equipment, allowing for better study of gene expression and its relation to diseases. The tool facilitates harmonization of large datasets, enabling comparisons across various samples and biological organs.
MIT researchers develop a method to extract comprehensive samples of massive cell datasets, preserving rare cell types and their biological information. The 'sketching' approach generates compact summaries of large datasets in minutes, making it practical for biological studies.
Research finds that current affiliation's prestige shapes the scientific productivity of early-career faculty, not past training environment. Faculty at more prestigious institutions produce significantly more scholarly output than those at less prestigious institutions.
Researchers expand earthquake catalog by a factor of 10, revealing daily quakes at 495 locations across the region. The study's template matching technique identifies tiny tremors, expanding our understanding of seismic events and their impact on the region.
The ML-DSP tool can provide conclusive answers to complex questions about species, DNA, and viruses. It has been shown to outperform other classification software tools in terms of accuracy and speed.
Researchers from Lancaster University found that April Fools hoaxes share similarities with fake news stories, including simpler language, longer sentences, and less formal tone. The study provides new insights into detecting disinformation and may aid in identifying 'fake news' articles.
Polygenic scores developed using European data are more accurate for people of European ancestry than those of African or East Asian ancestry. Researchers recommend increasing minority population representation and making data accessible to improve healthcare outcomes.
A new deep-mapping computer model detects visual changes to individual properties, allowing researchers to track gentrification in neighborhoods and cities. The model achieved 95% accuracy in detecting gentrification indicators, revealing detailed maps of spatial evolution of gentrification through time.