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 doctor's visit from the future describes patient care in 2042, where diagnosis and treatment are personalized based on individual biological abnormalities. Researchers believe this approach could lead to more effective treatments for neurodegenerative disorders.
A study examined the frequency of FDA's extrapolation of pivotal trial data to approved indications, finding it occurred in 45% of cases. This practice may lead to different clinical results in real-world use compared to trials.
A new study from the University of Kansas found that effective change agents and realistic timelines are crucial for successful change implementation. The study identified six key organizational change management practices to achieve high adoption of change initiatives in the AEC industry.
A recent study analyzed data from 421 adults with type 2 diabetes and found that achieving optimal blood pressure, glucose, cholesterol, and body weight levels can significantly improve life expectancy. By targeting these key health metrics, individuals with type 2 diabetes may be able to extend their lifespan.
A study by Cornell researchers found that recreational marijuana access significantly decreases prescriptions for pain, depression, anxiety, sleep, psychosis, and seizures in state Medicaid programs. This reduction could lead to significant cost savings for state Medicaid programs.
A new KAUST study uses machine learning to predict disease spread with high accuracy, dynamically incorporating latest data without human bias. This approach offers a promising alternative to conventional models, providing a more accurate story of the underlying epidemic data.
A University of Cincinnati study found that socioeconomic factors have a significant impact on depression treatment outcomes. Patients with lower incomes, less education, and minority backgrounds tend to have worse treatment outcomes even when receiving equal access to treatment.
Researchers identify magma intrusion as cause of 85,000-quake swarm in Antarctica, largest ever recorded. The swarm peaked with two large earthquakes before subsiding, marking the end of a sustained magmatic unrest.
Researchers have identified a key protein molecule that plays a major role in the accumulation of brain cholesterol, triggering Alzheimer's disease. The peptide inhibitor ATAD3A oligomerization promotes neuropathology and cognitive deficits in Alzheimer's disease models.
A study by Tokyo University of Science researchers used WCNs with increasing n values to find features of language that cannot be analyzed using existing WCNs. They found important features in networks with more than three co-occurrences, independent of text data.
The UMass Amherst-based Forecast Hub has generated the most consistently accurate predictions of pandemic deaths at the state and national level. The ensemble model combined individual forecasts, demonstrating improved robustness and ability to overcome individual model biases.
A machine learning model has been trained to accurately identify individuals with post-traumatic stress disorder (PTSD) by analyzing text data. The model achieved an 80% accuracy rate in distinguishing between those with and without PTSD. This breakthrough could lead to the development of a cost-effective screening tool for health prof...
Researchers develop a new method to reconstruct the states of complex nonlinear systems based on time series data. The approach optimizes reconstruction parameters by focusing on the geometric structure of attractors, resulting in improved accuracy.
A study of 3,900 older adults found factors associated with decreased physical activity include older age, living alone, obesity, adverse health conditions, and poor physical functioning. The results highlight the need for interventions targeting these barriers to promote healthy lifestyles in older age.
A national study of thousands of young people reveals that state school pupils have similar mental health and life satisfaction to private school counterparts. After controlling for socio-economic background and ethnicity, the difference in happiness between the two groups vanished.
A California study found that adults living with handgun owners had twice the homicide rates compared to those without, with most victims being women. Survivors of nonfatal gunshot injuries also experienced significant healthcare costs and worsening mental health.
The study found that TAVR resulted in significantly less structural valve deterioration after five years compared to SAVR. Patients with structural valve deterioration were at about twice the risk of death or rehospitalization as those without, highlighting the benefits of TAVR in reducing mortality and hospitalization risks.
A study using the nation's largest COVID-19 data resource found that the vaccine protects most cancer patients from getting COVID, but those with certain types of cancer have a higher risk of breakthrough infections. The research also highlights the importance of continued vaccination efforts to protect cancer patients.
The COVID-19 pandemic significantly increased delivery of mental health counseling through telehealth, with 47.9% of outpatient visits transitioning online by December 2020. Unequal access to mental health care was found among older adults, Black and Hispanic people, and those with lower incomes.
A new study suggests that children under 5 infected with Omicron have a lower risk of severe health outcomes compared to those infected with the Delta variant. The study found that Omicron is 6-8 times more infectious than Delta, but resulted in fewer hospitalizations and mechanical ventilation cases.
Researchers from North Carolina State University have released a dataset providing detailed information on COVID-19 vaccine shipments and wastage across the US. The data aims to inform modeling and decision-making to optimize vaccine supply chains.
The study reveals a narrowing gap between cancer profiles in China and the USA, with converging trends in lung, breast, and colorectal cancers. China's cancer burden is expected to rise, while the US has seen reduced rates since the 1990s due to effective prevention strategies.
A study by ISGlobal used an electronic personal health record system to collect data on migrant populations arriving in southern Europe between 2016 and 2019. The results showed a young and healthy population with acute respiratory infections, HIV/TB, and chronic conditions such as diabetes. The system proved useful for collecting effe...
A new algorithm using AI and data analytics predicts bowel cancer patients' length of stay, readmission rates, and mortality, enabling healthcare providers to optimize patient care. The technology has been proven effective with an accuracy rate above 80%, and further development is planned with larger datasets.
Researchers analyzed nearly 100,000 pregnancies and found no association between COVID-19 vaccination and poor birth outcomes. The study provides further evidence on the safety of mRNA vaccines for pregnant individuals.
A retrospective study found that cases of metabolic dysfunction-associated fatty liver disease increased since before the COVID-19 pandemic. Late-night meals and higher alcohol intake were identified as independent predictors of developing MAFLD, especially among working-age individuals.
Researchers found that opening stadiums to fans with safety protocols in place did not lead to an increase in local Covid case counts. The study used synthetic control method to analyze data from 16 stadiums, which mirrored the trajectory of surrounding counties without stadiums.
A recent study found that approximately 1 in 3 heart attack survivors experience significant mental decline in the days and months following their heart attack. Cognitive deficits can impact quality of life and treatment adherence, emphasizing the need for cardiologists to monitor patients regularly.
Researchers found that women are less likely to undergo common heart procedures and more likely to die in the hospital after receiving them. The study analyzed data from over 2 million hospitalizations for heart procedures between 2016 and 2019, revealing significant disparities in treatment and outcomes based on sex and race.
A study by Jason Hickel reveals that the global North appropriates vast resources and labor from the global South through price differentials in international trade, resulting in a net drain of $10.8 trillion in 2015. This unsustainable practice perpetuates global inequality and ecological breakdown.
Researchers warn of machine learning bias when data published for one task is used to train algorithms for a different one. This can lead to compromised integrity and 'overly optimistic' results in medical imaging applications.
Researchers at UBCO's School of Engineering have developed a new, faster method for analyzing toxic waste materials using fluorescence spectroscopy and convolutional neural networks. This method can detect key toxins such as naphthenic acids in oil sands samples, providing a low-cost alternative to current methods.
Researchers used a contrast pattern mining algorithm on publicly available data from 16,000 participants in the T1D Exchange Clinic Registry. The study found individuals with an immediate family history of Type 1 diabetes were more frequently diagnosed with hypertension and other co-occurring conditions.
A team of scientists successfully investigated the electronic structure of tautomeric mixtures using inelastic X-ray scattering (RIXS) at BESSY II. They can now experimentally separate the signal of each individual molecule, providing detailed insight into their functionality and chemical properties.
A study using data science and mathematical models identifies the most suitable rehabilitation method for each patient with osteoarthritis. The research aims to provide personalized treatment recommendations for healthcare professionals, ultimately leading to more effective care for patients.
A global study found symptoms of COVID-19 differ significantly between countries and individuals with underlying health conditions. Researchers analyzed data from 78,299 individuals in 190 countries, revealing varied symptom profiles that can inform clinical practice, public health messaging, and treatment strategies.
A recent study published in JAMA Ophthalmology found that depression is associated with more severe dry eye disease symptoms and overall signs. The analysis of data from a randomized clinical trial revealed this significant connection among 535 participants.
Researchers at West Virginia University are using machine learning and geographic information systems to identify areas with low COVID-vaccine uptake. They aim to pinpoint counties with increased risk of outbreaks, predict where testing is most crucial, and develop targeted interventions to increase testing rates. By acknowledging comm...
A new study at the University of Missouri found that positive teacher-student relationships lead to better teaching, as teachers who demonstrate 'soft' skills like kindness and compassion tend to use high-impact teaching practices. Students who feel cared for by their teacher are more motivated to learn and engaged in the classroom.
A study from University of South Australia found that reading aloud to children can triple a child's resilience at school, particularly for those who have suffered abuse or neglect. The study identified reading as a key factor in supporting children's emotional, social and physical development before they start school.
A study led by University of Illinois Chicago researchers found that structural racism can result in poorer leukemia outcomes for Black and Hispanic patients. Neighborhood disadvantage was a significant predictor of leukemia-specific death, accounting for nearly all the Black-white disparity in AML-related death.
A retrospective analysis found that socioeconomically disadvantaged older adults are at a higher risk of decline in function and cognition after an intensive care unit hospitalization. The study highlights the need to prioritize low-income seniors in rehabilitation and recovery efforts after critical illness.
A new study using a dataset of over 36,000 adults found that light-to-moderate alcohol consumption was associated with reductions in overall brain volume. The association grew stronger with increasing levels of alcohol consumption, comparable to aging two and three years, respectively.
Researchers found that polymer molecules interact with the flow around gas bubbles, causing a sudden increase in velocity. This knowledge can be used to predict oxygen input and design equipment for industries like biotechnology and pharmaceuticals.
Researchers from Shibaura Institute of Technology analyzed 18 Tokyo Metropolitan Area railway lines to understand the impact of in-vehicle congestion on efficiency. They found that incorporating congestion rates into efficiency analysis can help develop better public transit strategies, leading to higher service levels and sustainability.
A new study found that a higher minimum wage was associated with fewer people defaulting on their rent payments, particularly among those at the lower end of the housing expense market. However, landlords responded by increasing rent payments, offsetting some but not all of the increased income.
Researchers created a comprehensive genomic regulatory map of a 24-hour-old zebrafish embryo, identifying millions of regulatory segments that control gene transcription. The study used single-cell technologies and machine learning algorithms to analyze genome data from over 23,000 nuclei.
A study analyzing 185 million COVID-19 vaccine doses found no connection between vaccination and sudden sensorineural hearing loss. The results indicate that vaccination is not associated with the development of this condition.
A Brazilian study of 2,777 patients hospitalized between January 5 and September 12, 2021 found that vaccination was the sole predictor of mortality in those over 60 with kidney failure. Vaccination also reduced hospitalization risk among non-vaccinated patients with comorbidities.
Researchers discovered a population of neurons in the auditory cortex that responds specifically to singing, but not speech or instrumental music. The study uses electrocorticography (ECoG) recordings to gain higher-resolution data, revealing fine-grained segregation of function within the auditory cortex.
The University of Texas at El Paso establishes a new Systems Modeling and Simulation concentration, enhancing students' skills in data analytics, computer simulation, and machine learning. The program aims to train students for innovative industries with rapidly changing environments.
An analysis of pre-Omicron data found that COVID-19 vaccines retain nearly all their ability to prevent severe disease up to six months after full vaccination. Protection against severe COVID-19 dropped by an average of 10 percentage points over the same interval.
USF researchers analyzed 5,017 suicide victims' cases from 2019, finding that 69% of violent deaths in Florida were caused by suicide. The study highlights the critical need to study suicides among underrepresented youth, especially younger Black males.
Researchers at University of Missouri found a long-term association between adolescent psychological well-being and adult cardiovascular disease risk. People who are more optimistic in their youth can lower their chances for heart disease as adults.
Researchers at the University of Illinois used sonification to analyze data and teach protein folding, leading to a new discovery about protein folding mechanisms. Musicians collaborated with chemists to create audio-mapped visualizations that complemented traditional views, increasing intuition for experts.
A study found that specific bacterial groups from the Lachnospiraceae family were associated with an increased risk of developing type 2 diabetes. The research used machine learning techniques and analyzed fecal samples from a large Finnish population cohort, identifying microbial biomarkers that predicted disease incidence.
A combined analysis of 149 studies reveals that treatment rates for major depressive disorder remain low worldwide, particularly in low and lower-middle income countries. Treatment rates are estimated to be 33% in high-income countries and just 8% in low and lower-middle income countries.
A new study found COVID-19 hotspots in Canadian cities are concentrated along social determinants of health, including visible minority status. Prioritizing public health supports to specific neighborhoods can help curb transmission and improve pandemic response.
A small study found statistically significant improvements in various symptoms, including fatigue and chest discomfort, after EECP therapy in long COVID patients. Researchers believe this is the most plausible explanation for the benefits derived from EECP and its link to long COVID.
A new study finds that certain COVID-19 variants can escape the human immune system's cytotoxic T cell response in a significant portion of the population. The researchers identified 1,222 epitopes associated with major HLA subtypes, covering about 90% of the human population.