Our capacity to measure diverse aspects of human biology has developed rapidly in the past
decades, but the rate at which these techniques have generated insights into the biological …

As the key for biological sequence structure and function prediction, disease diagnosis and
treatment, biological sequence similarity analysis has attracted more and more attentions …

Trait stability of measures is an essential requirement for individual differences research.
Functional MRI has been increasingly used in studies that rely on the assumption of trait …

Background As the world's largest coal producer, China was accounted for about 46% of
global coal production. Among present coal mining risks, methane gas (called gas in this …

Prediction of wave characteristics plays a crucial role in design and performance
assessment of various coastal projects. The computational complexity and time-consuming …

Detecting intrusion in network traffic has remained a problematic task for years. Progress in
the field of machine learning is paving the way for enhancing intrusion detection systems …

The cross-sectional correlation is frequently used to summarize psychological data, and can
be considered the basis for many statistical techniques. However, the work of Peter …

Sensor networks are playing an increasingly important role in modern buildings. With the
growing size of building sensor networks and the increasing use of low-cost sensors, the …

The present work uses a full-field crystal plasticity model with a first principles-informed
dislocation density (DD) hardening law to identify the key microstructural features correlated …

Hyperconserved genomic sequences have great promise for understanding core biological
processes. It has been recently proposed that scores of hyperconserved 5′ untranslated …