Heart rate dynamics for cognitive load estimation in a driving simulation task.

Cognitive load (CL) is one of the leading factors moderating states and performance among drivers. Heavily increased CL may contribute to the development of mental stress. Averaged heart rate (HR) and heart rate variability (HRV) indices are shown to reflect CL levels in different tasks.

[Characteristics of the cytogenetic variants of alveolar rhabdomyosarcoma].

Unlabelled: Rhabdomyosarcomas (RMS) are one of the most common types of sarcomas in children and adolescents. The alveolar RMS subgroup is of particular interest because in some cases, the translocation of the and genes is combined with an amplification of the corresponding hybrid gene. According to literature data, the frequency of the translocation is 70-90% and the translocation 10-30%.

Accelerating segmentation of fossil CT scans through Deep Learning.

Recent developments in Deep Learning have opened the possibility for automated segmentation of large and highly detailed CT scan datasets of fossil material. However, previous methodologies have required large amounts of training data to reliably extract complex skeletal structures. Here we present a method for automated Deep Learning segmentation to obtain high-fidelity 3D models of fossils digitally extracted from the surrounding rock, training the model with less than 1%-2% of the total CT dataset.

Z-DNA formation in promoters conserved between human and mouse are associated with increased transcription reinitiation rates.

A long-standing question concerns the role of Z-DNA in transcription. Here we use a deep learning approach DeepZ that predicts Z-flipons based on DNA sequence, structural properties of nucleotides and omics data. We examined Z-flipons that are conserved between human and mouse genomes after generating whole-genome Z-flipon maps and then validated them by orthogonal approaches based on high resolution chemical mapping of Z-DNA and the transformer algorithm Z-DNABERT.