This study provides important evidence that negative affect is associated with slower cognitive processing in daily life, with findings replicated across three independent samples and supported by ...

Objective We evaluated the long-term association between the COVID-19 pandemic and the language development of children aged ...

An interdisciplinary team of University of Tennessee, Knoxville researchers recently published in Biophysical Journal on ...

The AERCA algorithm performs robust root cause analysis in multivariate time series data by leveraging Granger causal discovery methods. This implementation in PyTorch facilitates experimentation on ...

Abstract: Clustering multivariate time-series data is crucial for uncovering complex temporal patterns in dynamic environments, such as building indoor conditions and behavior where variables like ...

A new study suggests that recalling the context in which a memory was made can help to restore the memory after it has started to erode. When you purchase through links on our site, we may earn an ...

1 School of Big Data and Software Engineering, Chongqing University, Chongqing, China 2 School of Computer and Information Science, Chongqing Normal University, Chongqing, China Introduction: Time ...

Early detection of multidrug-resistant infections has long posed a critical challenge to global health systems. Now, researchers from King Juan Carlos University and the University Hospital of ...

Cerebral physiological signals embody complex neural, vascular, and metabolic processes that provide valuable insight into the brain’s dynamic nature. Profound comprehension and analysis of these ...

Abstract: Traditional statistical time series forecasting models rely on model identification methods to identify the worthiest model variants to investigate; therefore, the model parameters change ...