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High burden of liver, stomach and cervical cancers among the Hispanic/Latino population highlights access to care challenges

The report reveals a high risk of preventable cancers among Hispanic/Latino population, with 2-fold higher rates of liver and stomach cancers. Access to quality prevention, early detection, and treatment services is crucial for reducing the cancer burden in this population.

SourceAmerican Cancer Society·JournalCA A Cancer Journal for Clinicians·TypeData/statistical analysis·DateSep 21, 2021

Researchers confirm correlation between education expenditure and GDP growth

A study by HSE University researchers found a positive correlation between GDP and education expenditure for OECD members, with stronger effects over the long term. However, in developing economies, increased investment in secondary and professional education actually decelerates GDP growth due to labor market mismatch.

Beating the curse of dimensionality

A KAUST-led research team has developed a prediction scheme that can more reliably forecast future environmental trajectories by integrating information from past complete and partial data. This approach, called partial functional prediction (PFP), captures both long-term trends and well-matched partial trajectories to achieve improved...

SourceKing Abdullah University of Science & Technology (KAUST)·JournalJournal of the American Statistical Association·TypeData/statistical analysis·DateAug 16, 2021

Building blocks: New evidence-based system predicts element combination forming high entropy alloy

Researchers developed a novel evidence-based material recommender system that predicts high entropy alloy formation without data descriptors, overcomes data bias and poor availability. The method recommends an FeMnCoNi alloy as the most probable HEA and successfully synthesizes it, confirming its validity.

SourceJapan Advanced Institute of Science and Technology·JournalNature Computational Science·TypeExperimental study·DateAug 4, 2021

Cracking the code of crack propagation in rubberlike materials

Researchers from The University of Tokyo Institute of Industrial Science have identified the origin of a phenomenon that occurs when rubber materials under stress rapidly break. Their simplified step-loading model replicates the non-monotonic mechanical behavior observed in these materials, shedding light on the velocity jump phenomenon.

SourceInstitute of Industrial Science, The University of Tokyo·JournalPhysical Review Materials·DateJul 30, 2021

Mixing precision for model acceleration

A KAUST-led research team has developed an approach to mix high-precision calculations with lower precision for large geospatial datasets, significantly speeding up modeling without overall precision loss. The technique, implemented on high-performance computing systems, will enable larger datasets to be analyzed in shorter timeframes.

SourceKing Abdullah University of Science & Technology (KAUST)·JournalIEEE Transactions on Parallel and Distributed Systems·TypeData/statistical analysis·DateJul 27, 2021

American Journal of Medical Quality supplement explores innovative solutions to health care quality and performance improvement

Selected abstracts from the 2020 Vizient Connections Education Summit explore interventions to address health equity and reduce patient length of stay. An intervention framework was developed to identify events related to biases, while a statistical dashboard uses data to optimize resource allocation and track progress.

SourceWolters Kluwer Health·JournalAmerican Journal of Medical Quality·DateJul 2, 2021

Anomalous weak values via a single photon detection

Researchers demonstrate a novel measurement paradigm dubbed Robust Weak Measurement, measuring an anomalous weak value with a single photon detection event. The team obtains an observable with eigenvalues in the range [-7,7] and reports a weak value of the pre- and postselected system on which a single-click measurement was performed.

COVID-19 communication

A medical school professor highlights the importance of empathy in COVID-19 care, prioritizing humanity over statistics for families affected by critical illness. The essay aims to shift the focus from data-driven approaches to compassion and caring in healthcare.

SourceJAMA Network·JournalJAMA·DateFeb 23, 2021

Applying information theory to landscape art

A statistical approach analyzing 14,912 Western paintings reveals spatial composition patterns that can distinguish between artists and style periods. The study found that compositional features shifted over time, with dominant horizons changing in location during the Rococo, Romantic, Realism, Impressionism, and 20th century periods.

SourceProceedings of the National Academy of Sciences·JournalProceedings of the National Academy of Sciences·DateOct 12, 2020

Music on the brain

Researchers found that trained musicians showed greater powers of rhythmic prediction compared to nonmusicians, with subtle differences between those trained in Japanese or Western classical music. The study also reveals that different cultural upbringings can have a tangible effect on brain development.

SourceUniversity of Tokyo·JournalNeuropsychologia·DateJul 20, 2020

Trends in tropical cyclone intensity

Tropical cyclones have increased in intensity over the past four decades, with wind speeds of at least 100 knots rising by approximately 15% between early and latter halves of record. The increase corresponds to a statistically significant rate of 8% per decade, consistent with physical theory and numerical simulations.

SourceProceedings of the National Academy of Sciences·JournalProceedings of the National Academy of Sciences·DateMay 18, 2020

People may know the best decision -- and not make it

A recent study published in Nature Communications found that people often take the less optimal choice when faced with a decision, despite having knowledge of what works best. The researchers discovered that nearly everyone learned the pattern, but only about 20% followed it when the pattern didn't work consistently.

SourceOhio State University·JournalNature Communications·DateApr 20, 2020

Uncertainty about facts can be reported without damaging public trust in news -- study

Researchers at the University of Cambridge found that communicating uncertainty around key facts and figures can maintain public trust in information and its source, even on contentious issues. The study suggests presenting numerical ranges or verbal cautions can effectively signal uncertainty without reducing trust.

SourceUniversity of Cambridge·JournalProceedings of the National Academy of Sciences·DateMar 23, 2020

Hurricanes have become bigger and more destructive for USA; new study from the Niels Bohr Institute

Researchers at the Niels Bohr Institute find that hurricanes have increased in size and destructive force, with a clear climate signal behind the trend. The new calculation method reveals a significant increase in the frequency of the most destructive hurricanes, which now rival those from the past century.

SourceUniversity of Copenhagen·JournalProceedings of the National Academy of Sciences·DateNov 11, 2019