Articles tagged with Factorization
A cohort study found associations between perinatal factors and changes in brain maturation among adolescents. The study used conditional-longitudinal models to assess individual growth trajectories and mental health symptoms.
US nursing homes have seen a significant increase in closures between 1985 and 2025, with changes in ownership and capacity reconfiguration being more common than permanent facility closure. The study highlights the need for policy and oversight considerations that take into account ownership transitions and capacity changes.
A recent study suggests that adverse childhood experiences may increase the risk of obesity in Latinx and Hispanic youths. The study found that promoting resiliency-focused skills may help improve pediatric weight trajectories among these populations, potentially mitigating the impact of adverse experiences on health outcomes.
A prospective cohort study found a significant association between food insecurity and incident cardiovascular disease in both Black and White US individuals. Food insecurity was also shown to be an important social deprivation measure for assessing CVD risk, highlighting its potential as a key factor in clinical assessment.
Scientists at Brookhaven National Laboratory have demonstrated that complex calculations can accurately predict the distribution of electric charges in mesons. The new predictions match measurements from low-energy experiments and extend into the high-energy regime planned for future collider experiments.
A cohort study found that neighborhood deprivation is associated with increased breast cancer mortality in non-Hispanic white women, but not in non-Hispanic Black women. Factors beyond those explored may contribute to the disparity in breast cancer mortality among Black women.
Higher Mediterranean diet adherence was associated with a significant reduction in all-cause mortality risk. The study found that cardiometabolic factors played a partial role in this inverse association.
A cross-sectional study of 7,887 nurses found planned retirement, burnout, insufficient staffing, and family obligations as leading reasons for leaving healthcare employment. These factors highlight opportunities for employers to reattract existing nurses and retain currently employed staff.
A study of 34,500 patients found racial and ethnic disparities in locally advanced rectal cancer treatment outcomes may be influenced by unidentified biological or social factors. Non-Hispanic Black patients were more likely to experience poorer outcomes.
A Los Alamos-developed machine learning algorithm successfully processed massive data sets exceeding a computer's available memory. The algorithm divides data into manageable batches to prevent hardware bottlenecks, enabling efficient processing of large-scale applications in various fields.
Researchers suggest that multifactorial prediction models could enhance dementia risk estimation. Current dementia risk scores are found to have limited clinical utility for estimating 10-year dementia risk.
Researchers at the University of Innsbruck have developed reversible parity gates for integer factorization using quantum computers. This breakthrough enables the solution of a crucial pillar of cryptography, allowing for faster and more efficient factorization.
Researchers have identified a specific mechanism of von Willebrand Factor (vWF) that enables it to bind to platelets and initiate clotting. The discontinuous autoinhibitory module (AIM) is a prime site for new antithrombotic drug development.
Researchers at U.S. Army Research Laboratory have developed a way to factor large composite integers using brain-inspired computer architectures, moving away from traditional computing methods. This breakthrough could break many modern-day internet security protocols, including public key encryption.
Shaden Smith and Yang You have been awarded prestigious fellowships for their work on high-performance computing applications. They are recognized for advancing the state of the art in sparse tensor factorization algorithms and scalable machine learning algorithms.
Researchers from MIT and University of Innsbruck have designed a scalable quantum system that can factor large numbers efficiently using 5 atoms. This breakthrough represents the first implementation of Shor's algorithm in a scalable manner, enabling potential cracking of encryption schemes for protecting sensitive data.
Researchers at UCSB have successfully factored a small composite number using a quantum processor. The achievement is significant as it demonstrates a milestone on the road to building a quantum computer capable of factoring larger numbers with significant implications for cryptography and cybersecurity.
Research suggests that a growing global population will significantly increase greenhouse gas emissions, contributing to environmental stress.
An international team of mathematicians has factored a 307-digit number, shattering the previous record. The achievement was made possible by advances in distributed computing and refined algorithms.