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 new study suggests that industrialized countries in the Global North could be liable to pay a total of $170 trillion in compensation or reparations by 2050. This amount would be distributed as compensation to low-emitting countries that must decarbonize their economies faster than required, aiming to meet climate change targets.
Research by Flinders University shows that young red kangaroos in Australia grow faster when exposed to dingoes and inside the dingo-proof fence have slower growth rates. This suggests that the fence may impact different aspects of the kangaroo's life cycle, including population demographics.
A study by Anne Jacqueminet and colleagues identifies three favorable patterns for positive media coverage: congruent signalers, balancing signalers, and firms using a combination of less credible signals. Highly credible third-party signals play a complex role in media perception, delivering a single congruent message.
The SWOG Cancer Research Network will present 30 abstracts at the ASCO 2023 annual meeting, highlighting primary results from trials S1011, S1826, S1714, and S1929. Additionally, analysis from the S1609 DART trial will be shared publicly during the meeting.
A recent study published in JAMA Neurology found that heart attacks are associated with a faster decline in cognitive function over time. The research analyzed data from six large studies and showed that individuals who had a heart attack experienced a decline in global cognition equivalent to about six to 13 years of aging.
A recent study published in Translational Psychiatry found that obesity significantly increases the likelihood of developing mental disorders, including depression and anxiety, across all age groups. Women were found to be at a higher risk for most diseases compared to men.
Researchers analyzed 692,534 race times to find genetic improvement accounts for 60% of speed increase in short-distance races, while heritability is low across all distances. The study suggests weaker selection or other factors limiting genetic progress, particularly over long distances.
Researchers found volunteering associated with higher odds of excellent health and flourishing in children and adolescents, as well as lower anxiety in adolescents and behavioral problems in children. The study used survey data from across the US to explore the relationship between volunteering and child and adolescent health.
A study from Swansea University and the University of Cape Town tracked the movements of 13 chacma baboons in Cape Town, South Africa. The data revealed that female baboons stopped using urban space after giving birth, suggesting they adapt to reduce risks for their newborns.
A new study reveals that defence lawyers struggle to access and review digital evidence, citing limitations in format, presentation, and availability. This can lead to missed information and increased risk of miscarriages of justice.
A nationwide study of nearly 10,000 adults identifies 12 hallmarks of long COVID, including debilitating fatigue, loss of smell or taste, and gastrointestinal symptoms. The findings provide a new scoring system for clinicians to define and investigate treatments for patients with long COVID.
Researchers identified 37 symptoms across multiple pathophysiological domains that are more common in SARS-CoV-2 infected participants at six months post-infection. A preliminary rule for identifying postacute sequelae of SARS-CoV-2 infection (Long COVID) was derived from a composite symptom score and requires further refinement.
Women with short or long menstrual cycles are at increased risk of cardiovascular disease events such as heart attack or AFib. The study analyzed data from over 58,000 women and found that irregular menstrual cycle length was associated with higher risks of CVD, independent of other factors.
Scientists from Hokkaido University propose a cheap and effective alternative for monitoring glacial runoff by analyzing audible sounds generated at the proglacial run-off site. The method has shown promising results in detecting changes in glacier discharge with high accuracy.
A growing number of people worldwide will be affected by low back pain by 2050, with Australia facing a nearly 50% increase. The study highlights the need for effective prevention and management strategies to address this growing burden.
A new AI-enabled forecasting model can predict ENSO events for up to 22 months, overcoming the limitations of previous models. The Spatio-Temporal Information Extraction and Fusion (STIEF) model uses deep learning to extract space and time features and fuse them together, providing a more accurate prediction length.
Researchers at Kaunas University of Technology identified four affordances of digital technologies facilitating business process integration: accessing, updating, sharing, and initiating. These mechanisms enable automation of information transfer, minimizing effort in business processes.
A new study assesses racial bias in type 2 diabetes risk prediction algorithms. It finds significant disparities between US-based risk scores for non-Hispanic Blacks and non-Hispanic Whites.
Researchers have developed an automated calling algorithm for determining B and T cell clonality from NGS data with greater sensitivity than previous models. The new model increases the assay's sensitivity in detecting clonality, allowing for more accurate diagnosis and monitoring of lymphoproliferative disorders.
A recent study found that inflation has become a major source of stress in the US, particularly among women and those with lower socioeconomic status. The analysis of census data revealed a significant link between rising inflation and increased stress levels.
Researchers used AI to analyze speech patterns of patients with Parkinson's disease, finding they spoke in shorter sentences with more verbs and fewer common nouns. The study suggests potential early detection methods for the condition through conversational analysis.
A study analyzing the affordability of water services for 28.3 million people in the US found that 15% of households, or one in seven, face financial hardship in paying for access to water and wastewater services. The researchers suggest that solutions require comprehensive strategies at local, state, and federal levels.
A team of researchers has developed an AI tool called CRANK-MS that uses neural networks to analyze biomarkers in patients' bodily fluids and predict Parkinson's disease onset with an accuracy of up to 96%. The tool may help identify early warning signs for the disease, which can be challenging to diagnose.
Researchers used large language models to generate open-ended answers, which were often more convincing than real responses. This approach may help gather data quickly and at low cost but also raises concerns about the authenticity of online user data.
Researchers at Ohio State University found that the shells of galactic bubbles are more complex than previously thought, with unexpected temperature and chemical properties. The study suggests that these bubbles were formed by intense star-formation activity rather than supermassive black hole activity.
A sharp increase in colchicine's price led to a 17% drop in its use and worsened disease control in gout patients. Patients turned to alternative medications with potentially different side effects, resulting in increased emergency department visits and specialist consultations.
A new study found that fame-seekers plan their mass shootings as 'surprises,' carefully crafting them in ways that set them apart from previous incidents. Researchers analyzed data from 189 mass shootings between 1966 and 2021, finding that attacks by fame-seekers were about three times more surprising than those from non-fame-seekers.
Researchers have developed a quantum lidar system that uses single-photon detection to acquire high-resolution 3D images underwater. The technology has the potential to inspect underwater installations, monitor submerged archaeology sites, and enhance security applications.
The study found that COVID-19 vaccine-induced immunity rapidly declines after primary vaccination and booster doses, leading to a decrease in protection against Omicron and Delta infections. The results highlight the need for targeted vaccination strategies to combat the evolving SARS-CoV-2 virus.
Researchers found people with anxiety and depression disorder experience greater alcohol use disorder symptoms, even at similar levels of drinking. The study analyzed data on 26,000 adults and found that those with internalizing disorders predicted more alcohol-related symptoms.
The platform has enabled the transcription of over 4.7 million specimens, making a significant dent in the backlog of objects stored in museums without online information. The mission to catalog Earth's biodiversity has resulted in an inconceivably large number of specimens, with billions more collectively housed in smaller institutions.
Researchers identified three novel dual-purpose therapeutic targets using PandaOmics, which could treat both aging and glioblastoma multiforme. The target hypotheses include cyclic nucleotide gated channel subunit alpha 3 (CNGA3), glutamate dehydrogenase 1 (GLUD1) and sirtuin 1 (SIRT1).
A long-term analysis reveals that approximately one-third of CTEPH patients also have left heart disease, which can worsen breathing symptoms and requires more comprehensive diagnostic approaches. The study suggests that treatment options for both conditions may overlap, necessitating further research to find effective therapies.
A recent study published in Sleep Medicine warns that AI-collected data may lead to misdiagnosis of childhood sleep disorders. The lack of pediatric data used to train AI models results in biased classification, causing errors in sleep stage identification and potentially severe consequences for young patients.
A new study found that turning off MRIs overnight reduces their energy use by 25-33% and switching to 'power save' mode decreases energy use by 46-51%. This technique could save U.S. healthcare between $8 million and nearly $11 million annually.
A Brazilian study analyzed data from over 40,000 patients admitted to ICUs and found lower mortality rates during the Omicron outbreak compared to previous strains of Covid-19. Vaccination coverage contributed to the lower mortality observed in the Omicron period, but vulnerable patients remain at risk.
A new study uses social media data to understand global air conditioning adoption patterns. It finds that middle-aged, educated males and parents of small children tend to express higher online interest in AC. This research aims to improve climate change adaptation measures by identifying sociodemographic groups at risk.
A large-scale registry study in Finland identified factors associated with COVID-19 vaccination uptake, including low labor income and mental health issues. The study found that individuals in vulnerable positions were the least likely to vaccinate, highlighting the need for targeted vaccination campaigns.
A recent study published in JAMA Psychiatry found that individuals with a family history of depression exhibit reduced cognitive abilities. The research highlights the potential impact of genetic and environmental factors on brain development and aging, as well as modifiable lifestyle factors.
A study at Kyoto University has demonstrated the computational power of ecological networks, providing a new direction for rapidly developing AI technologies. The researchers developed two types of ecological reservoir computing that efficiently process information and can be utilized as a computational resource.
Researchers at Concordia University have developed a system of floating geotextile filters that efficiently remove suspended solids, algae, and nutrients from shallow lakes. The study shows promising results in lake water remediation, with the potential to scale up and benefit larger bodies of water.
A new study analyzing US National Health Interview Survey data found significantly higher levels of pain among LGBTQ+ adults compared to straight adults. Psychological distress was the most strongly linked factor driving these differences.
A multi-state study confirms the Pfizer-BioNTech mRNA COVID-19 vaccine's effectiveness in children and adolescents against moderate and severe COVID-19 outcomes. The study found that vaccination provided significant protection, but effectiveness decreased during Omicron dominance, with a booster dose increasing protection.
Expert panelists emphasize need to redefine measures and represent historically excluded populations in data collection. They highlight efforts to build data capacity in under-resourced communities and enhance community involvement.
A new 'enhanced primary care' model has been found to be effective in reducing blood pressure and hemoglobin A1c levels among patients with severe mental illness. The study, conducted at UNC WakeBrook, showed significant improvements in screening for people with severe mental illness compared to usual primary care.
A new machine learning model estimates optimal treatment timing for sepsis, taking into account vital signs and lab test results to predict patient survival. The model was trained on a dataset of over 14,000 individuals with sepsis and showed improved outcomes when actual treatment matched the recommended timeline.
A team of UBC Okanagan researchers has developed a regional house price mining and forecasting framework (RHPMF) that provides comprehensive reports on neighborhood data. The tool helps users analyze population, social dynamics, housing costs, and historical background to assess the market and make informed decisions.
A study published in Journal of General Internal Medicine found that 41% of patients with post-acute sequelae of COVID-19 (PASC) had moderate to severe sleep disturbances. Black patients were three times more likely to develop these disturbances, highlighting the need for race-specific interventions to address disparities.
A new study from the University of Kansas reveals significant racial wealth gaps and disparities in health outcomes among young adults. The study found that white and Hispanic individuals with higher wealth had better health outcomes, but Black respondents showed a more nuanced relationship between wealth and health. Policymakers argue...
Scientists developed a new clustering method to analyze similarities between chess openings, revealing ten distinct clusters that group similar strategies. The new classification complements the existing ECO Code and provides insights into player skill and opening complexity.
A study published in the journal Cancer found that long-term pancreatic cancer survivors have a robust immune response and enriched gut microbiome species, including Faecalibacterium prausnitzii. The research suggests that these bacterial species may promote immune response to pancreas cancer.
The University of Huddersfield has launched a smart rolling stock maintenance research facility to investigate cutting-edge technologies for improving the efficiency and reliability of train maintenance. The facility aims to reduce costs, increase reliability, and make rail travel more affordable.
Researchers analyzed 2,571 patients treated with monoclonal antibodies and found a 39% reduced risk of hospitalization or death compared to non-treated peers. The study also showed greater benefit in patients with immunocompromising conditions and those treated earlier during the pandemic.
A Washington State University-led analysis found that fake news consumption on Facebook was the primary driver of doubt about the election's integrity. Individuals who got election news through mainstream websites were less likely to consume fake news and more likely to believe in the results.
Researchers developed a model to track COVID-19 data, predicting transmission and informing health surveillance systems. The model successfully predicted the spread of COVID-19 in Cali, Colombia, highlighting the importance of high-resolution data in understanding virus dynamics.
Patients who experienced severe illness and instability within two months of their clinical encounters were 45% more likely to be hospitalized. The study found this association remained consistent across a range of diagnoses and demographics.
Astrophysicists used AI to improve mass estimates of galaxy clusters by adding a simple term to an existing equation. The new equation downplays the importance of complex cores in calculations, providing more reliable mass inferences.
The European Union and European Economic Area will likely fall short of the Sustainable Development Goals target for eliminating tuberculosis by 2030. To meet the goal, an annual decline of 11.7% is needed in TB incidence, whereas the current decline rate of 6.8% is insufficient.
Richard McIndoe is leading a national research initiative to advance understanding of diabetes and obesity through the National Centers for Metabolic Phenotyping in Live Models of Obesity and Diabetes (MPMOD). The MPMOD initiative provides access to advanced testing services, including bariatric surgery on mice, to enable new insights ...
Researchers at the University of Missouri are acquiring a new transmission electron microscope (TEM) with a $800,000 grant from the National Science Foundation. The TEM will allow them to conduct experiments in real-time and gain a greater understanding of material structure at an atomic level.