Competitors or cousins? Studying the parallels between distributed programming languages systemJ and IEC61499

We face a glut of languages for programming distributed software today. However, only a few languages have proven their potential with wider practical use in different domains of computing. We picked two such languages, meant for different domains, to see if they could cross-pollinate and enrich one another. Specifically, we chose SystemJ, a language to program distributed embedded systems, and IEC61499, the next generation standard for distributed industrial automation control software. Unsurprisingly, we found similar structures and artifacts between the two. We also found significant differences mainly due to differing domain-specific requirements. This comparison leads to observations and guidelines for improving both languages, and we discuss directions towards an “ideal” distributed software programming language

Current-carrying capacity of single layer cable using superconducting Bi-2223 tapes in a parallel magnetic field

It was theoretically shown by the authors that the current-carrying capacity of superconducting dc power cable can be enhanced by choosing a force-free configuration under a parallel magnetic field produced by the current flowing back in the outer shielding conductor. This was experimentally checked for a single layer cable using Bi-2223 tapes in an applied parallel magnetic field. It was found that the current-carrying capacity took on a peak value under the force-free condition for the total magnetic field, including the self-field. This shows that the proposed structure is suitable for practical dc power transmission. The possibility of the innovative dc superconducting power cable with multi-layers with higher current-carrying capacity is discussed

Modeling of ammonia oxidation on a platinoid catalyst, taking into account the N₂O formation

A mathematical model of ammonia oxidation on a platinoid catalyst, taking into account the N₂O formation, was developed. The possibilities of lowering the amount of N₂O, which is formed as by-product in high-temperature oxidation of ammonia in nitric acid production, are examined. The developed model allows calculation of the reactor for ammonia oxidation using platinoid catalysts of different geometric profiles

TECHNIKI ROZPOZNAWANIA TWARZY

The problem of face recognition is discussed. The main methods of recognition are considered. The calibrated stereo pair for the face and calculating the depth map by the correlation algorithm are used. As a result, a 3D mask of the face is obtained. Using three anthropomorphic points, then constructed a coordinate system that ensures a possibility of superposition of the tested mask.Omawiany jest problem rozpoznawania twarzy. Rozważane są główne metody rozpoznawania. Użyta zostaje skalibrowana para stereo dla twarzy oraz obliczanie mapy głębokości poprzez algorytm korelacji. W wyniku takiego, uzyskiwana jest maska twarzy w wymiarze 3D. Użycie trzech antropomorficznych punktów, a następnie skonstruowany systemu współrzędnych zapewnia możliwość nakładania się przetestowanej maski

Novel Driver Strength Index highlights important cancer genes in TCGA PanCanAtlas patients

Background Cancer driver genes are usually ranked by mutation frequency, which does not necessarily reflect their driver strength. We hypothesize that driver strength is higher for genes preferentially mutated in patients with few driver mutations overall, because these few mutations should be strong enough to initiate cancer. Methods We propose formulas for the Driver Strength Index (DSI) and the Normalized Driver Strength Index (NDSI), the latter independent of gene mutation frequency. We validate them using TCGA PanCanAtlas datasets, established driver prediction algorithms and custom computational pipelines integrating SNA, CNA and aneuploidy driver contributions at the patient-level resolution. Results DSI and especially NDSI provide substantially different gene rankings compared to the frequency approach. E.g., NDSI prioritized members of specific protein families, including G proteins GNAQ, GNA11 and GNAS, isocitrate dehydrogenases IDH1 and IDH2, and fibroblast growth factor receptors FGFR2 and FGFR3. KEGG analysis shows that top NDSI-ranked genes comprise EGFR/FGFR2/GNAQ/GNA11–NRAS/HRAS/KRAS–BRAF pathway, AKT1–MTOR pathway, and TCEB1–VHL–HIF1A pathway. Conclusion Our indices are able to select for driver gene attributes not selected by frequency sorting, potentially for driver strength. Genes and pathways prioritized are likely the strongest contributors to cancer initiation and progression and should become future therapeutic targets

Research on saliva’s cation composition in people with gastrointestinal tract’s pathology

Розглянуто питання зв’язку між патологіями шлунково-кишкового тракту та змінами концентрацій мікроелементів у слині людини. Показано зменшення вмісту катіонів у слині при формуванні та розвитку патологічного процесу у шлунково-кишковому тракті. Розглянуто питання зв’язку між патологіями шлунково-кишкового тракту та змінами концентрацій мікроелементів у слині людини. Показано зменшення вмісту катіонів у слині при формуванні та розвитку патологічного процесу у шлунково-кишковому тракті. Connection between alimentary canal diseases and microelements’ concentrations in saliva is under consideration. It is shown, that the cations’ concentration in saliva decreases during development of the gastrointestinal tract pathology

Assessment of the Epidemiological Effectiveness of the Temporary Transfer of Schoolchildren to Distance Learning during the Spread of COVID‑19 by the Example of the Saratov Region

Temporary closure of schools is an effective anti-epidemic measure during periods of rising incidence of acute respiratory viral infections and influenza, which is confirmed by the results of a large number of scientific works. In particular, the effectiveness of this measure consists in reducing the incidence among students. In the context of the spread of COVID‑19 in the Russian Federation, like in many other countries, the temporary transfer of schoolchildren to distance learning has also been repeatedly introduced; however, it remains unclear whether the measure under consideration is effective in relation to the new coronavirus infection.The aim of the study was to assess the epidemiological effectiveness of the temporary transfer of students to distance learning during the spread of COVID‑19 in the Saratov Region.Materials and methods. The analysis was carried out on the basis of statistical data of the Rospotrebnadzor Administration in the Saratov Region on the incidence of COVID‑19 for the period of 2020–2022, as well as materials from published scientific papers.Results and discussion. Analysis of the data on the school closure in 2020 has revealed a decrease in the incidence among schoolchildren (–42.9 %) and an increase in the incidence among people aged 65 years and older (+7.2 %); in 2021, there was a decrease in the incidence among schoolchildren (–15.6 %) and an increase in the indicator value as regards the elderly (+17.8 %); in 2022, another school closure led to an increase in the incidence of COVID‑19 among schoolchildren (+7.8 %) and people over 65 years old (+44.2 %). Based on the results obtained, one can conclude that the measure under consideration is inexpedient due to the fact that the most vulnerable category of the population (persons aged 65 years and older) is actively involved in the epidemic process, which in turn leads to a significant deterioration of the epidemic situation