Quantitative Assay of SARS-CoV-2 RNA and Level of Proinflammatory Protein Gene Transcripts in Peripheral Blood Leukocytes after a Novel Coronavirus Infection.

The possibility of finding persistent SARS-CoV-2 viral particles in human peripheral blood leukocytes after a novel coronavirus infection was shown. The results of droplet digital PCR showed that 19 of 24 examined subjects had from 4 to 555 copies of the Nsp4 SARS-CoV-2 gene in 5-6 months after infection. The presence of this transcript in peripheral blood leukocytes was associated with reduced expression of FOXP3 gene and increased level of RORγ gene mRNA.

Temperature-induced reorganisation of Schistocephalus solidus (Cestoda) proteome during the transition to the warm-blooded host.

The protein composition of the cestode Schistocephalus solidus was measured in an experiment simulating the trophic transmission of the parasite from a cold-blooded to a warm-blooded host. The first hour of host colonisation was studied in a model experiment, in which sticklebacks Gasterosteus aculeatus infected with S. solidus were heated at 40°C for 1 h.

An Investigation of Various Machine and Deep Learning Techniques Applied in Automatic Fear Level Detection and Acrophobia Virtual Therapy.

In this paper, we investigate various machine learning classifiers used in our Virtual Reality (VR) system for treating acrophobia. The system automatically estimates fear level based on multimodal sensory data and a self-reported emotion assessment. There are two modalities of expressing fear ratings: the 2-choice scale, where 0 represents relaxation and 1 stands for fear; and the 4-choice scale, with the following correspondence: 0-relaxation, 1-low fear, 2-medium fear and 3-high fear.

The Role of Inducible NOS2 Gene Polymorphism in the Development of Essential Arterial Hypertension.

The risk of essential arterial hypertension was assessed in carriers of the NOS2 gene variants (rs1800482 (-954G>C), rs3730017 (C>T)). In subjects carrying C allele (rs1800482), the risk for essential arterial hypertension developing was higher by 1.7 times (OR=1.

Fear Level Classification Based on Emotional Dimensions and Machine Learning Techniques.

There has been steady progress in the field of affective computing over the last two decades that has integrated artificial intelligence techniques in the construction of computational models of emotion. Having, as a purpose, the development of a system for treating phobias that would automatically determine fear levels and adapt exposure intensity based on the user's current affective state, we propose a comparative study between various machine and deep learning techniques (four deep neural network models, a stochastic configuration network, Support Vector Machine, Linear Discriminant Analysis, Random Forest and k-Nearest Neighbors), with and without feature selection, for recognizing and classifying fear levels based on the electroencephalogram (EEG) and peripheral data from the DEAP (Database for Emotion Analysis using Physiological signals) database. Fear was considered an emotion eliciting low valence, high arousal and low dominance.