1National Institute of Health for Women, Children and Adolescents Fernandes Figueira/Oswaldo Cruz Foundation, Rio de Janeiro 22250-020, Brazil 2Laboratory on Thymus Research, Oswaldo Cruz Institute, ...

DyNoPy constructs a graph model of residue-residue interactions ... Community 5 of SHV-1, embracing 48 residues and showing a strong correlation between V103 and S106. All the residues are depicted as ...

Abstract: EEG-based emotion recognition is a key technology in brain-computer interfaces. Many previous studies have applied deep learning methods to mine emotion-related features in EEG to decode ...

Our goal is to build a high-performance Knowledge Graph tailored for Large Language Models (LLMs), prioritizing exceptionally low latency to ensure fast and efficient information delivery through our ...

We found that the chi-squared metric is the most informative for the identification of coevolving functional sites, followed by the Pearson correlation ... the currently viewed graph as well as the ...

PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most ...

3. Probabilistic tractography at each voxel in the registered ROIs is performed for each subject. 4. A cross-correlation matrix for each registered ROI is generated. 5. Clustering algorithm is applied ...