Silent EEG-Speech Recognition Using Convolutional and Recurrent Neural Network with 85% Accuracy of 9 Words Classification.

In this work, we focus on silent speech recognition in electroencephalography (EEG) data of healthy individuals to advance brain-computer interface (BCI) development to include people with neurodegeneration and movement and communication difficulties in society. Our dataset was recorded from 270 healthy subjects during silent speech of eight different Russia words (commands): 'forward', 'backward', 'up', 'down', 'help', 'take', 'stop', and 'release', and one pseudoword. We began by demonstrating that silent word distributions can be very close statistically and that there are words describing directed movements that share similar patterns of brain activity. However, after training one individual, we achieved 85% accuracy performing 9 words (including pseudoword) classification and 88% accuracy on binary classification on average. We show that a smaller dataset collected on one participant allows for building a more accurate classifier for a given subject than a larger dataset collected on a group of people. At the same time, we show that the learning outcomes on a limited sample of EEG-data are transferable to the general population. Thus, we demonstrate the possibility of using selected command-words to create an EEG-based input device for people on whom the neural network classifier has not been trained, which is particularly important for people with disabilities.

Clinical observation of macroamylasemia in splenosis due to the posttraumatic splenectomy.

CONTEXT: Article analyzes current data on macroamylasemia and splenosis, their etiology and diagnostics in particular. CASE REPORT: Authors presented their own clinical observation of a young woman who was diagnosed to have macroamylasemia on the background of splenosis due to the splenectomy after blunt abdominal injury. CONCLUSION: This is the first time such a combination of macroamylasemia on the background of splenosis has been described in the literature.

Data on proteome of Mycoplasma hominis cultivated with arginine or thymidine as a carbon source.

Mycoplasma hominis is an opportunistic bacterium that can cause acute and chronic infections of the urogenital tract. This bacterium, like all other Mycoplasma species, is characterized by the reduced genome size, and, consequently, reduction of the main metabolic pathways. M. hominis cells cannot effectively use glucose as a carbon and energy source. Therefore, the main pathway of energy metabolism is the arginine dihydrolase pathway. However, several bacteria can use nucleosides as the sole energy source. Biochemical studies using Salmonella typhimurium have shown that three enzymes (thymidine phosphorylase, phosphopentose mutase and deoxyribose-phosphate aldolase) are involved in the thymidine catabolic pathway. All these enzymes are present in M. hominis. For understanding changes in the energy metabolism of M. hominis we performed shotgun proteome analysis of M. hominis cells in liquid medium with arginine or thymidine as a carbon source. LC-MS analysis was performed with an Ultimate 3000 Nano LC System (Thermo Fisher Scientific) coupled to a Q Exactive HF benchtop Orbitrap mass spectrometer (Thermo Fisher Scientific) via a nanoelectrospray source (Thermo Fisher Scientific). Data are available via ProteomeXchange with identifier PXD018714 (https://www.ebi.ac.uk/pride/archive/projects/PXD018714).

Propionate Induces Virulent Properties of Crohn's Disease-Associated Escherichia coli.

Crohn's disease (CD) is a severe chronic immune-mediated granulomatous inflammatory disease of the gastrointestinal tract. The mechanisms of CD pathogenesis remain obscure. Metagenomic analysis of samples from CD patients revealed that several of them have the elevated level of Escherichia coli with adhesive-invasive phenotype (AIEC). Previously, we isolated an E. coli strain CD isolate ZvL2 from a patient with CD, which features AIEC phenotype. Here, we demonstrate that prolonged growth on propionate containing medium stimulates virulent properties of CD isolate ZvL2, while prolonged growth on glucose reduces these properties to levels indistinguishable from laboratory strain K-12 MG1655. Propionate presence also boosts the ability of CD isolate ZvL2 to penetrate and colonize macrophages. The effect of propionate is reversible, re-passaging of CD isolate on M9 medium supplemented with glucose leads to the loss of its virulent properties. Proteome analysis of CD isolate ZvL2 growth in medium supplemented with propionate or glucose revealed that propionate induces expression porins OmpA and OmpW, transcription factors PhoP and OmpR, and universal stress protein UspE, which were previously found to be important for macrophage colonization by enteropathogenic bacteria.

Data on nucleoid-associated proteins isolated from Mycoplasma Gallisepticum in different growth phases.

Mycoplasma gallisepticum (MG) is one of the smallest free-living and self-replicating organisms, it is characterized by lack of cell wall and reduced genome size. As a result of genome reduction, MG has a limited variety of DNA-binding proteins and transcription factors. To investigate the dynamic changes of the proteomic profile of MG nucleoid, that may assist in revealing its mechanisms of functioning, regulation of chromosome organization and stress adaptation, a quantitative proteomic study was performed on MG nucleoids obtained from the cell culture in logarithmic and stationary phases of synchronous growth. MG cells were grown on a liquid medium with a 9 h starvation period. Nucleoids were obtained from the cell culture at the 26th and the 50th hour (logarithmic and stationary growth phases respectively) by sucrose density gradient centrifugation. LC-MS analysis was carried out on an Ultimate 3000 RSLCnano HPLC system connected to a Fusion Lumos mass spectrometer, controlled by XCalibur software (Thermo Fisher Scientific) via a nanoelectrospray source (Thermo Fisher Scientific). For comprehensive peptide library generation one sample from each biological replicate was run in DDA mode. Then, all the samples were run in a single LC-MS DIA run. Identification of DDA files and DIA quantitation was performed with MaxQuant and Skyline software, correspondingly. All raw data generated from IDA and DDA acquisitions are presented in the PRIDE database with identifier PXD019077.