Cognitive and technological aspects of e-learning in context of robotization

The development of e-learning education led to the emergence of two main problems of such form of education, which are the user-system interaction from the cognitive prospective, and the analysis of massive data received out of students’ activity. The development of artificial intelligence concepts and robotic process automation (RPA) tools, both problems might be solved in a more efficient way. The article presents the intelligent system of feedbacks, realized as JavaScript extension to Moodle platform, which intends to strength cognitive output of the performed learning activity, creating an illusion of the trainer’s presence and, therefore, contribute to the resolution of the first problem. The resolution of the second problem is proposed using artificial intelligence worker built in Blue Prism RPA platform, which independently collects test results and runs an Excel macro, which performs validation of test questions upon strict criteria of selection. Such validation process allows to select the questions which are coherent with the index of complexity and the index of differentiation capacity

Conservation of Archaeological Objects Made of Charred Wood from the Tesinskaya Culture Crypt at Skalnaya-5 Burial Site, the Republic of Khakassia

Despite repeated looting, the Tesinskаyа culture burial sites in the Republic of Khakassia cache unexpected finds. The rarest but therefore most valuable are those made from organic materials. In 2021, unique wooden artefacts which preserved because of the burning process that took place nearby were unearthed at such burial site. While in situ, the charred finds looked solid, but their changed chemical composition made them incredibly susceptible to the slightest changes in temperature and humidity, and consequently extremely fragile. In this article we present a program of conservation and restoration measures for the preservation of dilapidated archaeological objects based on current domestic and foreign methods and recommendations, which was specially selected for and tested directly on the objects with aforementioned degree of preservation

Effective microwave-assisted approach to 1,2,3-triazolobenzodiazepinones via tandem Ugi reaction/catalyst-free intramolecular azide–alkyne cycloaddition

A novel catalyst-free synthetic approach to 1,2,3-triazolobenzodiazepinones has been developed and optimized. The Ugi reaction of 2-azidobenzaldehyde, various amines, isocyanides, and acids followed by microwave-assisted intramolecular azide–alkyne cycloaddition (IAAC) gave a series of target heterocyclic compounds in moderate to excellent yields. Surprisingly, the normally required ruthenium-based catalysts were found to not affect the IAAC, only making isolation of the target compounds harder while the microwave-assisted catalyst-free conditions were effective for both terminal and non-terminal alkyne

Fundamentals of smart Village modeling in the context of integration of cognitive processes of artificial intelligence in the era of modern infrastructure challenges

The study focuses on the stages of implementation and development of smart villages, which are digital technologies for agriculture that increase efficiency and productivity in this area. We uncovered the stages of development of smart villages, then we looked at what is included in the Internet of Things within a smart village. After that, we looked at the specific digital solutions for agriculture and the purpose of smart village. As part of the study, we analyzed a number of indicators characterizing the development of the sphere of agriculture and its prospects. As the results of the study, we constructed and analyzed correlation matrices of indicators

Reproductive Hormone Levels in Men Exposed to Persistent Organohalogen Pollutants: A Study of Inuit and Three European Cohorts

OBJECTIVE: Persistent organohalogen pollutant (POP) exposure may have a negative impact on reproductive function. The objective of this study was to assess the impact of POP exposure on the male hypothalamo–pituitary–gonadal axis. PARTICIPANTS: Participants included 184 Swedish fishermen and spouses of pregnant women from Greenland (n = 258), Warsaw, Poland (n = 113), and Kharkiv, Ukraine (n = 194). EVALUATIONS/MEASUREMENTS: Serum levels of 2,2′,4,4′,5,5′-hexachlorobiphenyl (CB-153) and dichlorodiphenyl dichloroethene (p,p′-DDE) were determined in the four populations, showing different exposure patterns: Swedish fishermen, high CB-153/low p,p′-DDE; Greenland, high CB-153/high p,p′-DDE; Warsaw, low CB-153/moderate p,p′-DDE; Kharkiv, low CB-153/high p,p′-DDE. Serum was also analyzed for testosterone, estradiol, sex hormone-binding globulin (SHBG), inhibin B, luteinizing hormone (LH), and follicle-stimulating hormone (FSH). Free testosterone levels were calculated based on testosterone and SHBG. RESULTS: We found significant center-to-center variations in the associations between exposure and the outcomes. The most pronounced effects were observed in Kharkiv, where statistically significant positive associations were found between the levels of both CB-153 and p,p′-DDE and SHBG, as well as LH. In Greenland, there was a positive association between CB-153 exposure and LH. In the pooled data set from all four centers, there was positive association between p,p′-DDE and FSH levels [β = 1.1 IU/L; 95% confidence interval (CI), 1.0–1.1 IU/L]. The association between CB-153 levels and SHBG was of borderline statistical significance (β = 0.90 nmol/L; 95% CI, −0.04 to 1.9 nmol/L). CONCLUSIONS: Gonadotropin levels and SHBG seem to be affected by POP exposure, but the pattern of endocrine response is the subject of considerable geographic variation

Step bunching with both directions of the current: Vicinal W(110) surfaces versus atomistic scale model

We report for the first time the observation of bunching of monoatomic steps on vicinal W(110) surfaces induced by step up or step down currents across the steps. Measurements reveal that the size scaling exponent {\gamma}, connecting the maximal slope of a bunch with its height, differs depending on the current direction. We provide a numerical perspective by using an atomistic scale model with a conserved surface flux to mimic experimental conditions, and also for the first time show that there is an interval of parameters in which the vicinal surface is unstable against step bunching for both directions of the adatom drift.Comment: 17 pages, 10 figure

GEMv2 : Multilingual NLG benchmarking in a single line of code

Evaluation in machine learning is usually informed by past choices, for example which datasets or metrics to use. This standardization enables the comparison on equal footing using leaderboards, but the evaluation choices become sub-optimal as better alternatives arise. This problem is especially pertinent in natural language generation which requires ever-improving suites of datasets, metrics, and human evaluation to make definitive claims. To make following best model evaluation practices easier, we introduce GEMv2. The new version of the Generation, Evaluation, and Metrics Benchmark introduces a modular infrastructure for dataset, model, and metric developers to benefit from each others work. GEMv2 supports 40 documented datasets in 51 languages. Models for all datasets can be evaluated online and our interactive data card creation and rendering tools make it easier to add new datasets to the living benchmark.Peer reviewe