Articles tagged with Data Analysis
Comprehensive exploration of living organisms, biological systems, and life processes across all scales from molecules to ecosystems. Encompasses cutting-edge research in biology, genetics, molecular biology, ecology, biochemistry, microbiology, botany, zoology, evolutionary biology, genomics, and biotechnology. Investigates cellular mechanisms, organism development, genetic inheritance, biodiversity conservation, metabolic processes, protein synthesis, DNA sequencing, CRISPR gene editing, stem cell research, and the fundamental principles governing all forms of life on Earth.
Comprehensive medical research, clinical studies, and healthcare sciences focused on disease prevention, diagnosis, and treatment. Encompasses clinical medicine, public health, pharmacology, epidemiology, medical specialties, disease mechanisms, therapeutic interventions, healthcare innovation, precision medicine, telemedicine, medical devices, drug development, clinical trials, patient care, mental health, nutrition science, health policy, and the application of medical science to improve human health, wellbeing, and quality of life across diverse populations.
Comprehensive investigation of human society, behavior, relationships, and social structures through systematic research and analysis. Encompasses psychology, sociology, anthropology, economics, political science, linguistics, education, demography, communications, and social research methodologies. Examines human cognition, social interactions, cultural phenomena, economic systems, political institutions, language and communication, educational processes, population dynamics, and the complex social, cultural, economic, and political forces shaping human societies, communities, and civilizations throughout history and across the contemporary world.
Fundamental study of the non-living natural world, matter, energy, and physical phenomena governing the universe. Encompasses physics, chemistry, earth sciences, atmospheric sciences, oceanography, materials science, and the investigation of physical laws, chemical reactions, geological processes, climate systems, and planetary dynamics. Explores everything from subatomic particles and quantum mechanics to planetary systems and cosmic phenomena, including energy transformations, molecular interactions, elemental properties, weather patterns, tectonic activity, and the fundamental forces and principles underlying the physical nature of reality.
Practical application of scientific knowledge and engineering principles to solve real-world problems and develop innovative technologies. Encompasses all engineering disciplines, technology development, computer science, artificial intelligence, environmental sciences, agriculture, materials applications, energy systems, and industrial innovation. Bridges theoretical research with tangible solutions for infrastructure, manufacturing, computing, communications, transportation, construction, sustainable development, and emerging technologies that advance human capabilities, improve quality of life, and address societal challenges through scientific innovation and technological progress.
Study of the practice, culture, infrastructure, and social dimensions of science itself. Addresses how science is conducted, organized, communicated, and integrated into society. Encompasses research funding mechanisms, scientific publishing systems, peer review processes, academic ethics, science policy, research institutions, scientific collaboration networks, science education, career development, research programs, scientific methods, science communication, and the sociology of scientific discovery. Examines the human, institutional, and cultural aspects of scientific enterprise, knowledge production, and the translation of research into societal benefit.
Comprehensive study of the universe beyond Earth, encompassing celestial objects, cosmic phenomena, and space exploration. Includes astronomy, astrophysics, planetary science, cosmology, space physics, astrobiology, and space technology. Investigates stars, galaxies, planets, moons, asteroids, comets, black holes, nebulae, exoplanets, dark matter, dark energy, cosmic microwave background, stellar evolution, planetary formation, space weather, solar system dynamics, the search for extraterrestrial life, and humanity's efforts to explore, understand, and unlock the mysteries of the cosmos through observation, theory, and space missions.
Comprehensive examination of tools, techniques, methodologies, and approaches used across scientific disciplines to conduct research, collect data, and analyze results. Encompasses experimental procedures, analytical methods, measurement techniques, instrumentation, imaging technologies, spectroscopic methods, laboratory protocols, observational studies, statistical analysis, computational methods, data visualization, quality control, and methodological innovations. Addresses the practical techniques and theoretical frameworks enabling scientists to investigate phenomena, test hypotheses, gather evidence, ensure reproducibility, and generate reliable knowledge through systematic, rigorous investigation across all areas of scientific inquiry.
Study of abstract structures, patterns, quantities, relationships, and logical reasoning through pure and applied mathematical disciplines. Encompasses algebra, calculus, geometry, topology, number theory, analysis, discrete mathematics, mathematical logic, set theory, probability, statistics, and computational mathematics. Investigates mathematical structures, theorems, proofs, algorithms, functions, equations, and the rigorous logical frameworks underlying quantitative reasoning. Provides the foundational language and tools for all scientific fields, enabling precise description of natural phenomena, modeling of complex systems, and the development of technologies across physics, engineering, computer science, economics, and all quantitative sciences.
A study by MIT economists suggests that industrial policy has a relatively limited impact on GDP growth, with average long-run gains of 1.08% in favorable circumstances. The research indicates that local consumer demand can curb the impact of industrial policy, putting a ceiling on directed growth.
A new book analyzes data from 48 US states from 2008 to 2016, finding that election costs vary significantly across states and regions. The authors also found that trust in election spending is associated with how much is spent, and that a one-size-fits-all approach to legislation does not apply to election administration.
The authors introduce advanced methodologies for integrating maintenance strategies and structural health monitoring to extend infrastructure service life. Topics include data-driven decision-making, multi-objective optimization, cost-benefit analysis, and the role of data analytics in managing uncertainties.
A national study found that walkable neighborhoods increase walking by 23% due to factors like density of people, roads, and amenities. Living in a walkable area also reduces the chance of no transit use, while vigorous exercise is not necessarily linked to neighborhood walkability.
Women with low-risk ductal carcinoma in situ reported similar experiences undergoing active monitoring versus guideline-concordant care. The study found that both approaches had comparable lived experiences during the 2-year follow-up period.
Researchers developed a new method, k* distribution method, to visualize and assess how well deep neural networks categorize related items together. The model reveals clustered, fractured or overlapping arrangements of data points, indicating accuracy and reliability issues.
A new study estimates that India will see over 62.4 million cases of tuberculosis in the next two decades, posing a significant burden on the country's health and economy. Scaling up existing treatment regimens could generate at least $28 billion in GDP gains, highlighting the need for increased investment in TB control measures.
High-flow nasal oxygen was found to be more effective than noninvasive ventilation in preventing endotracheal intubation or death within 7 days in four of five patient groups with acute respiratory failure. However, the results were sensitive to analysis models and may require further study in specific patient populations.
The study analyzed the high burden of RSV-associated acute respiratory illness among young children in the U.S. and found nirsevimab to be effective against severe cases, highlighting the potential for substantial public health impact through increased prevention coverage.
A randomized controlled trial examines the association between treatment expectancies and the relative efficacy of psilocybin versus escitalopram for major depressive disorder. The results suggest that psilocybin is more effective than escitalopram in treating depression.
A cohort study found no association between high dementia risk among former professional soccer players and modifiable general health and lifestyle factors. The study supports continued measures to reduce exposure to repetitive head impacts and traumatic brain injury in sports.
A team of UNC-Chapel Hill researchers will develop an oncology health learning system using AI-ready data to generate real-time identification of new cancer cases and support personalized treatments. The project aims to improve cancer diagnosis, care equity, and quality by creating accessible tools for health providers.
The partnership integrates Answer ALS’s Neuromine Data Portal with the AD Data Initiative's AD Workbench, providing a unified platform for data sharing and analysis. This collaboration enables integrative analysis of ALS and Alzheimer’s data, streamlining efforts and enhancing research impact.
Researchers developed a new tool called SigRM to analyze single-cell epitranscriptomics data, enabling the study of RNA modifications in individual cells. This can provide valuable insights into gene regulation and its impact on health and disease, particularly in complex conditions like cancer.
Researchers developed a novel method to analyze capacity degradation characteristics and predict the knee point of lithium-ion batteries, enabling effective predictive maintenance and enhancing safety. The study uses neural networks to analyze battery life, which is affected by multiple coupling aging mechanisms.
Ken Perry, a UTA senior, has been recognized for his research on the connection between high-fat meals and cardiovascular health. He won two awards from the American Physiological Society for his work analyzing data collected from previous studies, which showed a correlation between high-fat consumption and changes in brain blood flow.
A new digital twin model for lithium-ion batteries has been developed, offering enhanced simulation accuracy and real-time monitoring capabilities. The model demonstrates exceptional performance in simulating terminal voltage and shell temperature, with minimal mean absolute errors.
A new study from the University of Zurich analyzed data from over 28,000 caregivers and found that longer caregiving periods lead to a consistent decline in life satisfaction, emotional health, and anxiety. Women were particularly vulnerable to these negative effects.
A new study in Nature identifies strategies for tying brain function and structure to behavior and health, improving the reliability of brain-wide association studies. By strategically selecting participants and collecting multiple scans, researchers can obtain more dependable results with fewer participants.
The 13th ITER International School (IIS2024) brings together 200 young researchers and engineers to advance nuclear fusion research. The school's theme is 'Magnetic fusion diagnostics and data science,' focusing on measurement and analysis for achieving fusion energy demonstration in the ITER project.
NCSA launches Harbor, a fast storage service for global home and software directories, boosting Delta system performance by 400%. Consolidating file systems to VAST namespace improved uptime, load times, and user experience. With Harbor and VAST Data Platform, NCSA achieves scalable and efficient AI infrastructure.
A novel physical reservoir computing device uses a dye-sensitized solar cell to mimic human synaptic elements, enabling efficient time-series data processing and low power consumption. The device achieved high computational performance in tasks such as human motion classification with over 90% accuracy.
The study found that irritability was the most common systemic reaction in children under 2 years, followed by fever and fatigue or sleepiness. Maternal vaccination is thought to be a factor in the higher prevalence of reactions after the first dose.
A new study reveals that patients attending first referral hospitals in low- and middle-income countries receive safe and effective surgical care comparable to higher level referral centers. District hospitals manage to deliver safe surgical care despite having fewer full-time surgeons and medically trained anaesthetists.
A Florida Museum curator was part of an international team that won first place and $5 million in the XPRIZE Rainforest competition. The team developed a monitoring device equipped with lights, audio recorders, cameras, insect traps, and collection reservoirs to survey a 100-hectare test plot of tropical rainforest.
A recent study by researchers at Kumamoto University found a potential link between exposure to certain everyday chemicals during pregnancy and the development of asthma in children. The study analyzed data from over 3,500 mother-child pairs and measured 24 types of phenols in urine samples collected from pregnant women.
Researchers at Lehigh University are using advanced algorithms and cross-domain data to help cities predict human movement patterns, enabling better planning and preparedness for events and emergencies. The model will account for variations in data streams from different sources, such as cell towers, GPS, and financial transactions.
A recent study found that over a quarter of new mothers have fallen asleep while feeding their babies, increasing the risk of sudden infant death syndrome (SIDS). Researchers are urging care providers to inform new moms about the potential risks and provide guidance on safe feeding practices.
A TU Wien-developed robot can learn to clean a sink by watching humans perform the task, adapting its knowledge to different shapes and applying the right amount of force. The technology combines machine learning and robotics, enabling robots to share their parameters through federated learning.
Devin Harris and his team have developed an augmented reality app, STRUCT-AR, that allows students to 'stress test' virtual bridges, beams, frames, and trusses. The app, which is set to be tested this spring, aims to improve students' understanding of structural behavior by providing a more interactive and immersive learning experience.
The study highlights widening cancer disparities across Human Development Index regions, age, and sex. Strengthening healthcare access and quality is crucial for evidence-based cancer prevention, diagnostics, and care.
A Cornell University research team found that strategically placing a mix of medium-speed and fast-charging stations in urban areas increases driver usage and improves investor profitability by 50-100%. The team used Bayesian optimization to analyze data from Atlanta, taking into account factors like traffic and road characteristics.
A team of researchers from Northwestern University has developed a novel machine-learning approach to accurately predict pneumonia outcomes by analyzing electronic health records. The study identifies five distinct clinical states in pneumonia, three of which are strongly associated with disease outcomes and two that can help physician...
A recent Amsterdam UMC study found that a quick initial shock with a defibrillator can significantly improve survival rates in patients who have suffered a cardiac arrest. Every minute of delay reduces the chance of survival by 6%, with 93% of cases successfully terminated if given within six minutes.
A cohort study of children with vesicoureteral reflux found that glomerular filtration rate changes after urinary tract infections. The study used data from the Children With Vesicoureteral Reflux trial to assess estimated glomerular filtration rate changes in participants with vs without recurrent UTIs.
Scientists at Paderborn University used high-performance computing to analyse a quantum photonics experiment, performing calculations in just minutes. The findings have significant implications for characterising photonic quantum computer hardware and will shape the future of quantum research.
A new study suggests that MRI can predict patient outcomes and the risk of tumor reccurrence or spread for patients with rectal cancer who have undergone chemotherapy and radiation. This information could help doctors determine the best course of treatment, including whether to spare patients from invasive surgery.
Researchers are combining large datasets to understand the impact of environmental factors on mental health and develop new ways to reduce the burden. A 4-step approach is being used to integrate complex data across many studies, resulting in a detailed perspective of individuals within their environment.
High-performance manufacturing (HPM) is a solution to meet the challenges of loading, transmission, conduction, energy conversion and stealth requirements in critical sectors. HPM advocates for a design and manufacturing approach based on scientific modeling and precise control.
Sweden has surpassed the UNAIDS and WHO targets for the HIV epidemic, with 96% diagnosed, 99% on treatment, and 98% having undetectable virus levels. The country's effective infrastructure and comprehensive data collection have made it possible to reach these ambitious targets.
Older adults exposed to extreme indoor heat showed small reductions in end-exposure core temperature and heart rate when using electric fans. However, these changes were of questionable clinical importance and did not exceed previous suggestions for significance.
The study evaluated large language models for healthcare applications, highlighting dimensions such as fairness, bias, and toxicity. It emphasizes the need for standardized applications and metrics to ensure real patient care data is considered.
The COP16 policy brief recommends implementing FAIR data principles to enhance biodiversity monitoring. This approach enables standardization of indicators, streamlined reporting, and improved global tracking.
A new study suggests that introducing a smaller vial size for the Alzheimer's drug lecanemab could reduce waste by 74% and save Medicare up to $336 million per year. This is due to the high amount of unused medication being discarded, with each patient often receiving a dose lower than the available vial sizes.
Virginia Tech researchers publish real-time data to better understand what happens when people lose their balance. The study uses wrist-worn voice recorders to capture immediate, self-reported data from participants, providing a more reliable understanding of the circumstances surrounding balance loss among older adults.
Researchers have developed Nucleus++, a new tool for faster and more transparent nuclear data analysis. The software integrates nuclear mass data from the AME and nuclear physics properties from NUBASE, providing enhanced insights for scientists worldwide.
Researchers from Brigham and Women's Hospital found that older adults who sustained a traumatic injury were more likely to be diagnosed with Alzheimer's disease and related dementias if they experienced falls. The study suggests that completing cognitive screenings in older patients after a fall could help detect dementia sooner.
A study analyzing health data from 780 infants found that early signs of asthma can be predicted by observing dynamic symptom development during the first year. Genetic predisposition, air pollution, and infections were key risk factors contributing to the child's respiratory system adaptation.
A study suggests that semaglutide may have therapeutic value in preventing opioid overdoses by reducing the associated risk. The results require further validation, but the findings indicate a potential benefit for patients with comorbid type 2 diabetes and opioid use disorder.
The NIH is establishing a network to integrate genomics into learning health systems, analyzing and improving the use of genomic information in patient care. The goal is to create generalizable knowledge and genomic medicine practices that can be shared with under-resourced settings, improving patient outcomes.
A recent study by the Wellcome Sanger Institute and GeneDx analyzed nearly 30,000 families with developmental disorders, revealing that known genes explain over 80% of cases caused by recessive genetic variants. The team identified several new genes associated with these conditions, providing answers for previously undiagnosed families...
A research team developed a computational workflow for analyzing large data sets in metabolomics, speeding up the process to capture chemical profiles of coastal environments. The tool, accessible to researchers worldwide, highlights potential sources of pollution and enables statistical insights within minutes.
A new study provides further evidence that SARS-CoV-2, the virus responsible for COVID-19, likely originated from animals sold at the Huanan Seafood Market in Wuhan, China. The analysis of genetic data found that wildlife species such as raccoon dogs and civet cats were present at the market and may have carried the virus.
The study found that daily homework assignments were most effective for improving mathematics achievement, while science performance benefitted from homework assigned three to four times a week. Short-duration homework tasks lasting up to 15 minutes were shown to be just as effective as longer assignments.
The study reports an overall 5- and 10-year survival of face transplants at 85% and 74%, respectively, making them a viable option for patients with severe facial defects. The majority of these complex cases are typically treated with conventional methods.
Researchers from the University of California, Davis, present a comprehensive framework for analyzing longitudinal activity and behavior. By employing advanced statistical techniques, they explore the relationship between activity and age-at-death in Mediterranean fruit flies, shedding light on potential links to human lifespan.
Researchers from Tokyo Institute of Technology have developed a novel screening methodology using machine learning to identify key design guidelines for ternary metal sulfide electrocatalysts. Focusing on crystal structure leads to better results, overcoming challenges in material properties and electrochemical performance analysis.
A new study shows that urban forests within walkable distance from residential areas are crucial in reducing heat-related health risks. Researchers found that nearby forests have a pronounced impact on reducing mortality risks, particularly those within 1 kilometre of residential areas.
Ehrapy allows researchers to analyze large, heterogeneous datasets efficiently, uncovering new patterns and generating insights. The long-term goal of ehrapy is to provide a powerful tool for the research community and eventually standardize databases for electronic health records.
A study by Singapore-MIT Alliance for Research and Technology found that installing EVCS boosted spending at nearby establishments by 1.4% in 2019, leading to an overall increase of USD 6.7 million. Strategically placed EVCS also stimulated consumer spending in underprivileged areas, creating potential catalysts for economic growth.