Articles tagged with Data Analysis
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 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.
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.
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.
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 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.
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.
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.
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.
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 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'...
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 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 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 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.
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.
New French prescribing rules for zolpidem resulted in a significant decrease in its use, with a corresponding rise in zopiclone prescriptions. The implementation of secure prescribing forms in 2017 led to a half cut in zolpidem prescribing rates, while zopiclone usage increased nearly equally.
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.
A study published in Annals of the American Thoracic Society found that Black individuals were twice as likely to test positive for COVID-19. The average age of infected participants was 52 years old, compared to 45 years old for those who tested negative.
A study aimed to develop and validate tools for assessing delirium severity in older patients, which could lead to improved prevention and treatment. Researchers identified a set of items capturing the severity of delirium and developed a new instrument for quick and easy administration.
A recent study from Singapore found that early access to pension wealth improves overall health status. The researchers analyzed monthly survey data from 2015 to 2019 and discovered that individuals who accessed their pension funds before age 55 had better self-reported health status afterward.
A study of young adults who experienced a heart attack found that quitting smoking within a year significantly reduces the risk of death from heart disease. Among those who quit, rates of death were more than 70% lower than among persistent smokers.
Researchers at MLU and Lanzhou University developed a simple concept for improved magnetic-based data processing using ultrashort electric pulses in the terahertz range. This enables fast and energy-efficient data storage with billions of read and write operations per second.
Researchers at Carnegie Mellon University have developed a system that combines iPhone videos to create 4D visualizations, allowing viewers to watch action from various angles. The method uses convolutional neural nets and can be applied to a wide range of scenes, including those shot independently from different vantage points.
A recent study published in the European Journal of Clinical Nutrition found that cancer survivors tend to overestimate the quality of their diets. The researchers analyzed data from over 2,300 cancer survivors and compared it to a control group, revealing that those who overrated their diet quality had poorer overall health.
A University of Illinois professor has proposed a framework for guiding researchers in developing common data science approaches, aiming to unify conversations and share knowledge across disciplines. The data science life cycle framework identifies key issues that can be generalized across fields and those specific to each discipline.
A UBC study analyzed survey data from 13,611 adults in the US to identify social and behavioral factors closely linked to mortality. The top 10 factors included smoking, divorce, alcohol abuse, recent financial difficulties, and history of unemployment.
Researchers at Tokyo Institute of Technology found that Kabuki actors had shorter lifespans compared to other traditional arts performers who led sedentary lifestyles. The study suggests that excessive endurance training and physical activity may overwhelm the beneficial aspects of regular exercise.
A recent study developed a new technique for photographing and data analytics to count lions, which has shown promising results in understanding their populations and movements. The current estimates of African lion populations are thought to be unreliable due to the use of outdated methods such as track counts and audio lure surveys.
A machine-learning model analyzes histopathology slides to predict cancer prognosis and survival. The study, published in PLOS ONE, shows promise for improving cancer care.
Researchers from HSE University developed an algorithm called Allen, which processes data from the LHCb detector using a farm of GPUs. This approach increases processing speeds up to 40 Tbit/s and reduces costs compared to traditional CPU-based systems.
The University of Arkansas will lead a statewide computing-cloud called the Arkansas Research Platform to integrate existing high-performance computer resources. Researchers from nine institutions will focus on three major areas of data science: managing complex data sets, securing data privacy, and developing machine learning models.
The Corrona Psoriasis Registry presents studies on real-world prescribing patterns, biologic drug effects, and COVID-19 outcomes. Longitudinal studies also report improvements in quality of life and work productivity for patients treated with biologics.