Articles tagged with Data Analysis
Researchers at Arizona State University have generated a global coral reef extent map using advanced AI, predicting the location of shallow reefs with nearly 90% accuracy. The map was created by analyzing thousands of satellite images and is now available through the Allen Coral Atlas.
A RAND Corporation study finds that health systems need better mechanisms for creating and disseminating best practices to leverage technology effectively. The study suggests that payment reform may not be sufficient to drive change and that significant investments in hardware and software are needed.
The FDA has awarded a grant to Critical Path Institute (C-Path) to develop real-world evidence for treatments in neonates using real-world data. This project will create a platform to standardize and integrate data from NICUs worldwide, enabling the creation of actionable reference ranges and natural history models.
A lack of coordination among stakeholders hinders biodiversity monitoring, but integrating contributors can improve data collection. This is crucial for identifying factors leading to declines in biodiversity and creating sustainable conservation strategies.
A new study finds that Hispanic Black individuals have the worst COVID-19 outcomes, including higher hospitalization and death rates, compared to Hispanic multiracial and white individuals. The study highlights the need for more accurate demographic data collection to address these disparities.
The new high-quality cat genome has helped confirm existing gene variants and identified a novel gene underlying dwarfism. The study also revealed genes linked to other diseases, providing valuable insights into feline biomedical research.
The Rare Disease Cures Accelerator-Data and Analytics Platform (RDCA-DAP) has achieved significant milestones in its first year, thanks to data sharing and collaboration among stakeholders. The platform serves as a centralized infrastructure to support data analysis and aid in the understanding of rare diseases.
A recent study published in the National Review of Black Politics found that people who don't embody a typical white American identity may have complicated feelings of Americanness that affect their politics. The researchers analyzed data from the 2016 Collaborative Multiracial Post-Election Survey and found that racial and ethnic mino...
A large international consortium of researchers has studied three coronaviruses, identifying common molecular mechanisms and potential drug targets for rapid treatment response. The study also analyzed clinical data to identify effective FDA-approved therapeutics for COVID-19 patients.
Researchers at MIT developed a machine-learning algorithm that can predict the effectiveness of drug compounds against tuberculosis and other diseases. The algorithm, which incorporates uncertainty values to account for data variability, identified promising compounds targeting a critical protein required by the bacteria.
A meta-analysis of bivalirudin versus heparin in patients with myocardial infarction (MI) found that bivalirudin was associated with similar overall rates of 30-day mortality but lower rates of serious bleeding. In STEMI patients, bivalirudin use reduced all-cause mortality and serious bleeding.
A study published in Cell Systems identified 219 molecules that strongly correlate with COVID-19 severity. The analysis revealed a unique network of molecules influencing blood coagulation, inflammation, and vessel damage. Researchers hope this discovery will lead to the development of targeted therapeutics to alleviate disease.
A Siberian Federal University team analyzed international trade data to determine Russia's most competitive forest products. The regions in north-west Russia excel in paper and cellulose production, while Siberia and the Far East have significant advantages in raw wood and timber exports.
A study found that participants rated themselves as receiving more support from a network of friends who were closely connected to each other. This cohesive group provided emotional support and a sense of belonging. The results suggest that having a strong social network is crucial for feeling supported, rather than just the number of ...
Experimental study reveals electric clothes dryers as a significant source of microfiber pollution. The devices emit fibers from laundry through their vents, contaminating the air and potentially harming ecosystems.
Patients hospitalized with COVID-19 were more likely male, younger and had fewer comorbidities than those with influenza. Despite this, however, those with COVID-19 were seen to generally be healthier, with lower rates of chronic obstructive pulmonary disease, cardiovascular disease, and dementia.
Two studies show Black children are more than twice as likely to die after surgical complications and half as likely to receive surgery compared to white children. Researchers attribute the disparities to socioeconomic status, access to quality care, health risk factors, and implicit systemic biases in healthcare.
A new mobile app, Genopo, developed by Garvan Institute of Medical Research, makes genomics more accessible to remote or under-resourced regions and the hospital bedside. The app enables fast, real-time genomic analysis on a smartphone, opening possibilities for point-of-care testing and unlocking information in DNA or RNA.
A new study found that COVID-19 cases led to significant increases in approval ratings for world leaders, with an average boost of 14 points. The study suggests a
A recent analysis found that hydroxychloroquine and chloroquine are associated with higher rates of cardiovascular problems, including life-threatening heart rhythm events and heart failure. The study highlights the need for caution when prescribing these drugs for off-label indications, especially in patients with cardiac disorders.
A genetic analysis of over 850,000 Europeans found a link between obesity-related genes and an increased risk of rheumatoid arthritis. Obesity was shown to be associated with a higher risk of rheumatoid arthritis for both men and women.
Research finds that xenophobic attitudes towards migration are widespread in East German communities, unaffected by the arrival of refugees. Negative attitudes prevail despite personal exposure to refugees, with some right-wing and left-wing groups converging on moderate views when receiving refugees.
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 DOE has awarded $2.16 million to two physicists at Jefferson Lab for AI-assisted experiment control and calibration, as well as improved SRF operation at the CEBAF accelerator facility. These projects aim to optimize operations and generate better-quality data, potentially shaving off months of research labor.
The Phish Scale uses a rating system to analyze message content in phishing emails, providing insights into why users click or don't click. By understanding these cues, CISOs can optimize their phishing training programs for specific target audiences and improve user preparedness against real phishing scenarios.
A meta-analytic study of existing research found that frequent quizzes help students better grasp classroom material, leading to improved academic performance. The study discovered a strong link between quizzing and student success, with students who took quizzes performing better on midterm and final exams.
A study found that unemployed men, poor women, and unmarried individuals are more likely to have their remains go unclaimed after death. In contrast, long-distance migrants were not associated with this issue.
A recent study found that installing cameras in HGV cabs significantly reduces risky driving behaviors, with coaching further improving results. The analysis of 669 vehicles over two years revealed a 31% reduction in harsh cornering and a 34% decrease in speeding incidents.
Digital phenotyping approaches combine smartphone data analysis and machine learning to monitor patients with psychosis spectrum illnesses. Researchers identified promising tools for care improvement, calling for larger studies and expanded efforts in early diagnosis and treatment.
Florida Atlantic University will develop an innovative curriculum for graduate students in data science and analytics, addressing a lack of integrative knowledge in the field. The program aims to equip students with technical depth, data visualization skills, and expertise in AI and industry applications.
A recent study found that people prefer a combination of human and app-based contact tracing for the coronavirus. The research suggests that trust in the provider of the app is more important than privacy concerns when it comes to choosing a contact tracing method.
Researchers developed an open-source 'OpenExpress' technology to improve NVMe performance and accessibility. The new tech achieved parallel data input/output processing, increasing bandwidth by 76% and reducing input/output delay by 68%.
A study by University of Utah Health researchers found that Black essential workers are disproportionately affected by COVID-19 due to their occupations, which increase their risk of exposure to the virus. This disparity is attributed to racial disparities in job classifications and access to healthcare resources.
Researchers propose a new model explaining how consciousness arises, suggesting that the brain processes and integrates information for up to half a second before becoming aware of it. This counterintuitive view challenges the idea of continuous perception and provides insights into how people experience reality.
New York and California may have achieved herd immunity due to declining reported mortality rates and low basic reproduction numbers. According to Prof. Last's model, these states have a high percentage of infected individuals, indicating a potential end to the COVID-19 peak.
The study aims to examine the extent to which the AD&A Second Major programme equips students with key skills and competencies in the future accounting workplace. It will also measure students' learning outcomes and gather insights on how future programmes can be designed to equip students with necessary skills.
Researchers found that summit success rates doubled to two-thirds of climbers reaching the top, while death rates remained at around 1% since 1990. Improved weather forecasting and safer climbing techniques may contribute to the increased success rate.
Research published in Stroke and Vascular Neurology found that US hospital admissions for stroke and mini-stroke decreased by nearly a third during the height of the pandemic. This decline may have led to poorer patient outcomes, emphasizing the need for patients to seek medical care during the crisis.
Researchers propose moving workloads to different regions to reduce excess renewable energy generation, saving companies money and reducing greenhouse gas emissions. The plan could absorb up to 62% of curtailed electricity capacity in California, equivalent to 100,000 households' annual energy consumption.
Nearly one in four people aged 50-80 rely on mail delivery for at least one medication, with 29% receiving all their medications via mail. This reliance is largely driven by insurance requirements and cost savings.
A study found four distinct classes of drinkers, each with their own vocabulary and habits, providing insight into drinking habits and potentially informing intervention efforts. The results suggest that understanding how drunk someone feels may be a better predictor of risky behavior than objective measures.
A recent study analyzed data from over 77,000 hospitalized COVID-19 patients to understand the impact of pre-existing cardiovascular comorbidities or risk factors on clinical outcomes. The results show that these patients are more likely to develop cardiovascular complications and die from COVID-19 infection.
A new study by Columbia University researchers found that daily social media use is not a strong or consistent risk factor for depressive symptoms among adolescents. The study analyzed survey data from over 74,000 students and found no association between social media use and increased depressive symptoms.
The Smart Rolling Stock Maintenance project aims to reduce costs, increase reliability, and enhance safety through the use of industrial automation and advanced condition monitoring. The project will explore the potential of data analytics to plan and schedule maintenance more efficiently.
Researchers at Texas A&M University are using advanced machine-learning analysis to reveal the evolution of cracks in rock and concrete. By combining data from multiple sources, including sound waves, electromagnetics, and pressure measurements, they aim to improve our understanding of crack damage and development.
A new physics-based model, κ-scheme, predicts imminent large solar flares more reliably than previous methods. The model forecasts solar flares up to 20 hours in advance and identifies their location and energy release.
Sea turtles may experience a 87% decline in critical nesting habitat on Bioko Island by 2100 due to rising sea levels. The study, funded by HESS Equatorial Guinea and Purdue University Fort Wayne, predicts this impact for the beaches of Bioko Island.
Researchers found that non-white counties had higher cumulative incidences and deaths compared to predominantly white counties, even among high-income communities. Structural racism may explain the racial disparities in COVID-19 cases and deaths noted in Black counties.
A new study by Iowa State University researchers reveals that individuals tend to select retirement funds ending in zero, leading to an incompatible level of risk and potentially lower total wealth at retirement. The findings suggest that demographic factors such as age, income, and education can influence the likelihood of this 'zero'...
Researchers found that 2.4% of hospitalized COVID-19 patients had ischemic stroke, mostly due to pre-existing conditions such as high blood pressure and diabetes. The study also highlighted racial disparities in stroke outcomes, with Black patients more likely to experience strokes.
Researchers will analyze massive atmospheric data using machine learning methods to identify patterns and understand processes, facilitating the development of new models for tackling scientific problems in atmospheric physics.
A study examining online user activity on two carding forums reveals the vast majority of users aren't buyers or sellers but rather seek free tutorials, malware source codes, and hacking guides. Actual buyers and sellers comprise a fraction, primarily using stolen identity info for unauthorized purchases.
A new analysis of SARS-CoV-2 transmission data in China shows that faster identification and isolation of infected individuals contributed to the shortening of the average serial interval over time. This indicates that isolation effectively limits COVID-19 transmission by reducing opportunities for viral transmission.
A new approach uses photons to perform computations required by neural networks, improving speed and efficiency. Photonic tensor cores can process data in parallel, reducing power consumption and increasing throughput.
A new study by YANG Jia and colleagues identified both task-specific and subject-invariant components of perceptual learning ability, revealing multifaceted nature of learning and strong evidence for consistent pattern of individual differences across multiple training tasks.
A web-based database, Archaeal Proteome Project (ArcPP), collects and makes available datasets to further research on archaea, a domain of microorganisms. The platform provides easily accessible data and expertise for analyzing proteomics studies, yielding significant new insights into archaeal biology.
The NUS team created a sensory integrated artificial brain system that mimics biological neural networks, combining artificial skin and vision sensors to enable accurate conclusions about objects in real-time. The system achieved over 92% accuracy in classifying Braille letters and outperformed traditional systems in grasping tasks.
Smartphone accelerometers measure key muscle training time-under-tension indicators, aiding in resistance workouts and rehabilitation. The study uses these devices to obtain scientific mechanical-biological descriptors of resistance exercise training, providing valuable insights for trainers and healthcare professionals.
A new survey found that 9 out of 10 US men ages 18 to 35 want their doctors to ask about intimate partner violence. Men with lower education levels were more likely to be asked about their experiences, while victims of violence supported screenings more strongly.
Researchers from FAU College of Engineering and Computer Science developed a model to predict COVID-19 spread using innovative big data analytics techniques. The project leverages prior experience in modeling Ebola spread to create computational models that can quickly identify contacts of infected individuals.