Applying rearrangement distances to enable plasmid epidemiology with pling.

Plasmids are a key vector of antibiotic resistance, but the current bioinformatics toolkit is not well suited to tracking them. The rapid structural changes seen in plasmid genomes present considerable challenges to evolutionary and epidemiological analysis. Typical approaches are either low resolution (replicon typing) or use shared k-mer content to define a genetic distance.

[Study of antitumor effects of human placenta hydrolysate on PC-3, OAW-42, BT-474 cell cultures].

Aim: To investigate the antitumor effects of human placenta hydrolysate (HPH) peptides on three hormone-dependent human cell lines: prostate adenocarcinoma, breast carcinoma, and ovarian cancer by metabolic analysis of cell cultures.

Materials And Methods: The effect of HPH on tumor and control tumor cell lines was evaluated. Study stages: (A) peptide sequencing by collision-induced dissociation mass spectrometry; (B) detection of peptides with anti-tumor properties; (C) expert analysis of the obtained lists of peptides.

Limitations of Out-of-Distribution Detection in 3D Medical Image Segmentation.

Deep learning models perform unreliably when the data come from a distribution different from the training one. In critical applications such as medical imaging, out-of-distribution (OOD) detection methods help to identify such data samples, preventing erroneous predictions. In this paper, we further investigate OOD detection effectiveness when applied to 3D medical image segmentation.

Most probable longest common subsequence for recognition of gesture character input.

This paper presents a technique for trajectory classification with applications to dynamic free-air hand gesture recognition. Such gestures are unencumbered and drawn in free air. Our approach is an extension to the longest common subsequence (LCS) classification algorithm.