Articles tagged with Data Analysis
Researchers found that 76% of mercury deposition in a Massachusetts forest comes from atmospheric sources, with plants dominating as a source of mercury on land. The study suggests that forests worldwide may be a larger global absorber and collector of gaseous mercury than previously assumed.
The new MaxDIA software provides a computational workflow for data-independent acquisition proteomics, combining library-based and library-free approaches. This enables highly sensitive and accurate data analysis for thousands of proteins, opening up new possibilities for medical applications in personalized medicine.
Approximately 8 million US employees used FFCRA emergency sick leave within the first 6-8 months. Unmet sick leave needs tripled during the pandemic, with women exhibiting a higher risk, and college graduates, Asian-Americans, and native-born employees being more likely to know about and use the benefit.
A new study has found that a ceasefire in Colombia led to better pregnancy outcomes for women who conceived after the conflict began. The analysis of over 3 million pregnancies found lower risks of stillbirths and perinatal mortality in areas with reduced conflict violence, highlighting the need for countries with long-running armed co...
A study of LGB Vietnam-era veterans found that those who identify as LGBTQ+ experience a higher burden of traumatic events, including childhood abuse and assault, which contribute to poor mental health outcomes. The study suggests that early life traumas may interact with military service experiences in complex ways.
A new study finds that regular COVID-19 monitoring of everyone in a school setting is essential to prevent large outbreaks. Mathematical simulations suggest that waiting until a student tests positive is too late to take preventive measures, highlighting the importance of early detection and action.
A team of researchers has developed a new AI framework that allows for accelerated and scalable detection of gravitational waves. The framework, built using NVIDIA GPUs, can process large datasets in real-time, enabling the detection of four binary black hole mergers in under seven minutes.
Researchers developed a low-cost, accurate gas sensing device that can detect volatile organic compounds (VOCs) in air samples within 10 minutes. The device has potential applications in monitoring indoor air quality and non-invasive medical screenings.
Researchers developed a new strategy to characterize polymeric transition metal species in acidic solutions, using ESI-TOF-MS. This method visualized transformation evolutions of vanadium, chromium, tungsten, and molybdenum species, guiding reaction conditions for high-purity metal separation.
Researchers from Brown University and MIT developed Tuplex, a new data science framework that compiles custom logic written in Python, reducing wait times to seconds. The platform also handles anomalous data by extracting and setting it aside, allowing users to repair anomalies after the program completes.
The deep-sea ecosystems of the Salas y Gomez and Nazca ridges are characterized by exceptional biodiversity, hosting rare and unique species of fish and invertebrates. These findings have significant implications for conservation efforts, emphasizing the need to protect these unique environments.
Scientists recorded sound signals from March to June 2020 in Pennsylvania using underground fiber-optic sensors. They found a quiet period during the lockdown followed by a recovery of activity as restrictions lifted, with construction and vehicle traffic recovering sooner than pedestrian traffic.
Researchers argue that boosting equity, diversity, and inclusion in citizen science demands more than just rebranding. They recommend 'centering in the margins' by focusing on underserved areas and overcoming economic barriers to participation. This approach seeks to create a more inclusive and responsive system of knowledge production.
During the COVID-19 pandemic, almost 10% of survey respondents would refuse to perform potentially-lifesaving bystander CPR. Many respondents were willing to act if they had a facemask or performed hands-only CPR.
A new study published in the Journal of the Association for Consumer Research posits that increased accessibility to anthropomorphized luck can lead consumers to pursue higher-risk financial behavior. The authors suggest that preferences for riskier options are driven by shared risk perceptions that may engender feelings of security.
The CSEM innovation enables devices to run independently for over a year, reducing installation and maintenance costs. The system's two-tiered data processing approach drastically reduces power requirement, with most applications using only the first accelerator.
A new study reveals that American Indian and Alaska Native individuals are underrepresented in clinical studies, with only 1% of participants from these groups. The authors call for further research to improve ethical inclusion in clinical research.
Despite miniature brain size, baby orb weavers can create complex webs identical to those of adults. The study suggests flexibility in spider behavior despite neurological limitations.
A new study suggests that skipping breakfast leads to a nutritional gap, with adults who skip morning meals likely missing out on calcium, vitamin C, and fiber. The research analyzed data from over 30,000 American adults and found that those who skipped breakfast had lower intakes of essential nutrients for the entire day.
A University of Missouri study found that rural Missouri counties experience nursing shortages at a greater rate than metropolitan counties. The study also identified three rural counties where more than half of the nurses are over 54, nearing retirement.
A comprehensive study published in Nature Communications found that more than one million deaths worldwide were attributed to fossil fuel combustion in 2017. The research used a global dataset of air pollution emissions and modeling to identify specific sources of pollution, including coal, energy production, and cookstoves.
A study categorizes existing solutions for combating maritime litter, revealing a need for more developed technologies and integrated approaches. The researchers recommend defining standards for each solution to encourage further development and create a sustainable approach.
The Brainlife.io platform uses cloud technologies to democratize neuroscience research, allowing scientists to process, visualize, and manage large amounts of data. The platform provides a suite of web services to support reproducible research, with over 1,600 scientists from around the world accessing it thus far.
Researchers have developed a system using an array of microphones and advanced processing techniques that can detect impulsive sounds such as screams on UAVs. The technology has the potential to save lives by helping emergency crews locate survivors in disaster scenarios.
En'Urga will design and evaluate a hyperspectral imager to provide spatially and temporally resolved gas concentrations and temperatures in turbulent reacting flows. The technology aims to improve propulsion systems, aero engines, and associated technologies for NASA's John C. Stennis Space Center.
A new study by Iowa State University scientists has developed an integrated framework to explain the complex interactions between a plant's genotype and environment. The framework uses advanced data analytics to predict crop performance and could lead to more accurate breeding of high-yielding crops.
Researchers found a correlation between high ACE2 concentrations and increased risk of serious COVID-19 outcomes. The study suggests that measuring ACE1 levels may be a useful biomarker to predict mortality from the disease.
Engineers at MIT have developed the first digital fiber that can store, analyze, and infer physical activity, revolutionizing textiles for performance monitoring, medical inference, and disease detection. The fiber is thin, flexible, and can be sewn into fabrics without breaking down, opening up new possibilities for fabrics.
Computer scientists study the role of prior knowledge in machine learning tasks, considering philosophical frameworks that combine elements of rationalism and empiricism. This approach aims to improve the accuracy of complex systems by incorporating human-like reasoning and flexibility.
Researchers developed an electronic nose that can identify COVID-19-infected individuals with high accuracy. The system may enable large-scale screening and detection of SARS CoV-2 infection in public places.
The THOR COST Action has enabled a large collection of papers on hot matter and relativistic heavy-ion collisions, thanks to extensive collaborations between researchers. Through the project, over 300 physicists have improved their methods by exchanging ideas and results.
Researchers at TUM have conducted comprehensive measurements of sea level rises in the Baltic Sea and North Sea with millimeter accuracy. The new method provides reliable forecasts on sea level trends, enabling planning of protective measures such as flood protection structures.
Wildland management must adapt to unprecedented ecosystem changes due to climate change, invasive species, and land use conversion. Scientists from the Rocky Mountain Research Station suggest a more inclusive governance model to improve collaboration and learning.
Researchers developed a novel software tool to quantify potential CRISPR-induced errors, including adverse translocation events that can cause cancer. The tool, CRISPECTOR, analyzes next-generation sequencing data and applies statistical modeling to determine editing activity.
Research analyzing camera trap data from across North America found that smaller, faster-reproducing mammals with generalist diets are best equipped to live alongside humans. Conversely, larger species like grizzly bears and lynx tend to avoid more developed areas and are less active when present.
Global plant disease outbreaks are increasing, threatening global food supply, due to climate change and increased trade. Researchers call for improved detection systems, surveillance, and modeling to prevent disease outbreaks.
A new study suggests that DJ-1 protein, which protects against free radicals inside cells, worsens inflammation outside the cell, leading to exacerbated pathologies in ischemic stroke. The researchers identified DJ-1 as a previously unknown inflammatogenic DAMP that may be a potential target for therapeutic intervention.
A new smartphone app developed by Cornell University engineers can predict grape yields up to 24% more accurately than traditional methods. The app uses computer-vision technology to analyze video footage of grape vines, allowing farmers to secure labor and equipment in advance and reduce profits.
The 'Looking for Cowslips' campaign has started successfully, collecting data on the spring flower Primula veris and its populations across Europe. Over 120,000 cowslip observations have been recorded so far.
Researchers analyzed genetic data from over 2,300 individuals with autism, identifying missense variants in 398 genes that may impact phenotypes. Patients with these variants tend to have lower IQ scores, shedding light on the complex relationship between mutations and autism severity.
A study published in PLOS Biology highlights the importance of diverse conservation strategies to maximize regional biodiversity and maintain ecosystem services. Researchers found distinct groups of species in 'Strictly Protected' areas compared to 'Restricted' and 'Non-Protected' sites.
Researchers analyzed four decades of data on American crocodiles in the Everglades, finding that high-salinity water has a negative impact on their health and survival. The study provides insight into the species' response to environmental changes.
A recent study published in PLOS ONE found that individuals relying on traditional news sources are more accepting of the COVID-19 vaccine. The research highlights the importance of trusted sources in shaping public opinion on vaccination.
The study suggests that the islanders' strict separation into independent sub-groups helped maintain cultural diversity. This pattern is attributed to the finite population size and localized community structures.
A virtual weight-management support group during lockdown resulted in clinically meaningful weight loss for 27% of participants, associated with reduced risk of diabetes and other chronic conditions. Average weight loss was 7.4lbs or 3.5% of body weight.
Researchers used machine learning to predict patient outcomes using routine clinical information, identifying factors that determined which patients were likely to get worse. The AI model improved oxygenation in only 44% of patients, while proning was ineffective in those with blood clots or inflammation.
Researchers at Skoltech have developed an AI-driven drone system to detect and track Sosnovsky's hogweed, a plant causing severe burns and ecosystem damage. The system uses real-time image segmentation on board drones to identify individual plants, increasing localization efficiency by multifold.
Researchers have found a new feature in the diffuse aurora, where sections of the background-like glow disappear and then reappear after a short period. This phenomenon, dubbed 'diffuse auroral erasers,' has never been mentioned in scientific literature and raises questions about its frequency and potential impact on Earth's climate.
Scientists successfully adapted echolocation techniques from bats to human echolocation, enabling people to identify rotating targets. The method leverages time-varying echo information to decode target geometry and improve accuracy.
A recent airborne study reveals extreme amounts of hydroxyl and hydroperoxyl radicals generated by lightning, suggesting a substantial proportion of global atmospheric oxidation. The results could indicate that lightning-generated oxidants are responsible for between 2-16% of the Earth's atmosphere oxidizing capacity.
Researchers have identified a new species of frog with unique fluorescent properties, found in Brazil. The newly discovered species is highly poisonous, posing a threat to its ecosystem.
Using naturalistic driving data, researchers developed random forests models that accurately predicted mild cognitive impairment and dementia with 88% accuracy. The study identified age, trip patterns, and braking events as key predictors of the conditions.
Researchers found that El Niño can accurately predict cacao yields with a high degree of confidence, even 25 months before the harvest. This innovative approach uses machine learning and rigorous data collection to provide valuable insights for farmers and policymakers, enabling them to make informed investment decisions.
A large analysis of patient data suggests that delayed antibiotic prescribing is a safe and effective strategy for most patients, including those in higher risk subgroups. The study found no significant difference in symptom severity or duration between delayed and immediate antibiotics, but a slight benefit in reducing re-consultation...
A study of over 2,000 individuals found that higher education does not influence the pace of brain aging, contradicting previous assumptions. However, educational attainment is linked to improved cognitive outcomes and reduced risk of dementia.
The Atlas of Living Australia (ALA) is a national biodiversity database that provides reliable data for scientists, policy-makers, and environmental planners. It contains nearly 95 million occurrence records of over 111,000 species, showcasing its potential to support the development of science and decision-making.
The Duchenne Regulatory Science Consortium (D-RSC) database will share individual-level data with qualified researchers to accelerate therapy development for Duchenne muscular dystrophy. The database includes data from clinical trials and natural history studies, and is fully de-identified to ensure participant anonymity.
Researchers have developed intelligent, battery-less sensors that can precisely monitor district heating grids and provide valuable knowledge for optimized operation. The sensors will enable plants to optimize pipeline grid efficiency and reduce heat loss.
Recent study suggests that biblical texts in Dead Sea Scrolls were written by multiple scribes with mirrored writing styles. Artificial intelligence-based writer identification technique provides new evidence on unknown scribes.
The University of Texas at Austin, in partnership with the Arecibo Observatory and other organizations, has successfully moved telescope data to a secure storage system. This move will ensure the continued discovery and innovation sparked by Arecibo's legacy, making its vast astronomy data accessible for over 50 years.