Technopolis

The statistics of neurotoxicant poisonings in the world and, in particular, in Russia are alarming. Despite the fact that there is information that recently severe forms of intoxication with neurotoxicants are registered less frequently, and the initial and moderate forms that develop during long-term work with increased concentrations of neurotropic poisons predominate, neurotoxicant poisonings continue to occupy a special place among production factors. Poisonings received at industrial enterprises or in laboratories, during accidents or gross violations of safety precautions deserve special attention. Typical representatives of the group of neurotropic toxicants are representatives of the groups of heavy metals (lead, mercury, etc.), combustion products (carbon monoxide, etc.), organic solvents, for example, methanol. Thus, according to WHO data, the world production of heavy metals is growing annually by 10%, which increases the risk of poisoning. The problem of methanol poisoning is no less acute, which accounts for more than 13% of poisonings. Neurotoxicants primarily affect the central nervous system, but their detrimental effects on other human organs and systems are also noted. Intoxication with most representatives of this group of poisons leads to permanent disability, and in some cases, to death. This study analyzes original articles devoted to the issues of poisoning with neurotoxicants, presented in bibliographic and abstract databases such as PubMed, Scopus, Web of Science, NEB (eLIBRARY.RU) and CyberLeninka. The causes and consequences of poisoning are described, the mechanism of action of toxicants and the symptoms of the victim’s health are briefly shown. It is concluded that even with relative safety of production, emissions of neurotropic toxicants into the environment can have serious and long-term consequences for human health.Contribution: Potapov P.K. – material processing, editing; Shustov E.B. – concept and design of research, editing; Noskov N.S. – collection and analysis of literary sources, writing the text; Markin I.V. – formulation of conclusions, writing the text and editing the article; Melnikova M.V. – writing the text, editing. All authors are responsible for the integrity of all parts of the manuscript and approval of the manuscript final version.Conflict of interest. The authors declare no conflict of interest.Funding. The scientific research was conducted within the framework of the State assignment of the Federal Medical and Biological Agency of Russia N. 388-00071-24-00 (topic code 64.004.24.800).Received: April 6, 2025 / Revised: April 14, 2025 / Accepted: October 15, 2025 / Published: March 13, 2026

Background: the study of nonverbal behavior based on the ethological paradigm using computer vision technologies is currently considered as one of the approaches to objectification of mental disorders. At the same time, their analysis using multidimensional data processing methods, primarily from the standpoint of thermodynamic and network analysis, is of particular interest. Purpose of the work: to summarize the results of discriminant, thermodynamic and network analysis of facial and pantomimic activity of patients with neurotic disorders and schizophrenia spectrum pathology. Patients, Comparison Group and Methods: 19 patients with schizophrenia spectrum disorders (Sch), 23 with neurotic disorders (ND). 22 healthy subjects made up control group (CG). Analysis of non-verbal behavior was carried out using the biometric video analytics complex “MIX VR-19” based on action units (AU) of the FACS. Results: the logarithm of the thermodynamic probability of the system of facial reactions was maximal in individuals with ND (50.2), minimal in people with Sch (33.1), and it occupied an intermediate position in the CG (44.2). The system organization was also noticeably lower in Sch (0.08) than in ND (0.11) and in CG (0.14). Analysis of the graphs showed that the nodes page ranks in healthy subjects were characterized by the highest weight of AU61, AU1, AU63 and AU64. For ND, the nodes with maximum page ranks were AU14 and AU64. In Sch, the highest rank was observed for nodes AU62 and AU2. Conclusions: the greatest contribution to the differentiation between the groups of people with ND, Sch and CG was made by such AU as ironic smile, squinting and opening the mouth. The dynamics of entropy and organization of the facial-pantomimic reactions system in the CG reflected the tension of adaptation mechanisms at stages with a predominance of cognitive load; in Sch, there was an insufficiency of such tension during load, and in ND, tension was observed at stages with affective and personal themes. The graph of facial-pantomimic reactions in healthy individuals was determined by integrativeness with a large number of connections between nodes; In patients with HP, the graph was sequentially connected, while in individuals with SR it was represented by isolated clusters of AU.

Science, Technology and Innovation policy making is being revolutionized using text data analytics. The existence of repositories of scientific knowledge, together with the advances in text analytics, are increasingly offering the opportunity to research funders to improve their policy making across the policy cycle. The complexity of the innovation system leads to a granularity challenge. Sophisticated policy questions can only be answered using refined disciplinary, stakeholder and territorial breakdowns, which in turn call for advanced mappings, bottom-up machine-guided approaches and multifaceted visualizations. This policy brief shows the first results of the IntelComp platform: the use cases of Energy, as a key element for mitigating climate change, and of science and technology in Artificial Intelligence. They indicate that IntelComp has successfully produced topic models and automatic classifiers to address the granularity challenge.

The rapid evolution of science and technology allows innovative approaches to generate new types of evidence about the effectiveness of medical product development so as to speed up patients’ access to better diagnostics and treatment. Our study explored how two emerging approaches, the use of real‐world evidence (RWE) and complex clinical trial (CCT) design, are currently being used by the pharmaceutical industry to support premarketing authorization of medical product development and reviewed the international landscape for regulatory acceptance of such novel approaches. Combining evidence from a literature review, company survey, and interviews with international regulators and experts, we found that 80% of Europe‐based pharmaceutical companies have used RWE and 50% have used CCTs, in some capacity. Further, we present case examples of how companies are using these approaches and how international regulators are preparing for such developments. To conclude, we provide a set of recommendations for European industry and regulators to consider so that these novel approaches achieve their full potential within the EU regulatory system.

Objective: to estimate the possibility of using Danio rerio (Zebrafish) as a test system for assessing the effects of ionizing radiation using an erythrocyte micronuclei test. Materials and methods: 6 groups of fish (n = 120) were exposed to X-rays in doses of 0, 10, 20, 30, 40, 50 Gy to calculate semi-lethal dose (LD50 / 30). 9 groups of fish (n = 27) were exposed to X-ray at doses of 0 (control), 0.5, 1.0, 1.5, 2.0, 3.0, 4.0, 6,0, 8.0 Gy for constructing a dose-dependent curve of the occurrence of micronuclei in peripheral blood red blood cells. Results: the semi-lethal dose (LD50 / 30) for Danio rerio was calculated (24.9 Gy). The frequencies of micronuclei in the erythrocytes of Danio rerio were dose-dependent. Significant data of the frequency of occurrence of micronuclei were found when fish were irradiated at doses of 4.0, 6.0 and 8.0 Gy. Conclusion: Danio rerio fish are characterized by extreme radioresistance, thereby we suggest the prospect of their use in radiobiology as a lab test system for assessing the effectiveness of factors that induce mutagenic effects of ionizing radiation (1 figure, 1 table, bibliography: 11 refs).

The release of plastic waste into aquatic environments, both fresh and sea waters, has been recognised as a major environmental problem due to the global nature of the issue and its ecological and socio-economic impacts. It is estimated that approximately 8 million tonnes of plastics are released into the world’s oceans each year. The global nature of marine litter calls for actions to be undertaken at all levels and across all geographies.