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Circular extrachromosomal DNA (ecDNA) in patient tumors is an important driver of oncogenic gene expression, evolution of drug resistance and poor patient outcomes. Applying computational methods for the detection and reconstruction of ecDNA across a retrospective cohort of 481 medulloblastoma tumors from 465 patients, we identify circular ecDNA in 82 patients (18%). Patients with ecDNA-positive medulloblastoma were more than twice as likely to relapse and three times as likely to die within 5 years of diagnosis. A subset of tumors harbored multiple ecDNA lineages, each containing distinct amplified oncogenes. Multimodal sequencing, imaging and CRISPR inhibition experiments in medulloblastoma models reveal intratumoral heterogeneity of ecDNA copy number per cell and frequent putative 'enhancer rewiring' events on ecDNA. This study reveals the frequency and diversity of ecDNA in medulloblastoma, stratified into molecular subgroups, and suggests copy number heterogeneity and enhancer rewiring as oncogenic features of ecDNA.

A significant part of the compressor fleet in Russia consists of foreign-made centrifugal and screw compressors, which, with operating time and depreciation, require repair according to regulations or modernization due to changed technological operating conditions. The supply of spare parts needed for repairs has become more complicated due to the rise in cost or lack of logistics. This leads to the problem of maintaining the compressor equipment in working order or its downtime. The manufacture of spare parts is problematic due to the lack of design documentation from operating organizations. The offer of reverse engineering services for spare parts and compressor assemblies by specialists of JSC «NIIturbocompressor n. a. V. B. Shnepp» makes it possible to improve and solve the problem of maintaining the effective condition of foreign equipment. At the same time, the article describes the problems that arise during reverse engineering of rotors of centrifugal and screw compressors, the spatial profile of impellers and fluid film bearings. The main points contributing to the successful completion of reverse engineering tasks are indicated, the accuracy of 3D scanning is determined, and methods for setting nominal dimensions and deviation tolerances are presented.

Aims This study aimed to investigate the rate and quality of maturation of the mineral component of impacted teeth 38 and 48 and a fragment of the human lower jaw with connective tissue dysplasia (CTD) in different periods of postnatal ontogenesis. Methods and Material The study involved 102 males (76 with CTD and 26 without CTD), divided into age groups: 31–40, 41–50 and 51–60 years. For medical reasons, teeth 38 and 48 were removed from each patient, as well as a fragment of the alveolar part of the lower jaw in the projection of teeth 38 and 48 measuring 0.5 × 0.5 cm. The odontological parameters, the mineral density of the enamel and the lower jaw, the length and width of the enamel prisms, the spatial organisation of collagen fibrils and the dimensions of the bone plates of the lower jaw were determined. Results A decrease in optical density was observed at the age of 41–50 and 51–60 years with dysplasia, which indicated a decrease in mineral density and the presence of total areas of hypomineralisation relative to the age of 31–40 years. In the age groups of 41–50 and 51–60 years, pronounced sclerosis and deformation of the delimiting elements were observed at the border of the connective tissue structures and the periosteum. At the age of 31–40 years, the level of stratification of the bone plates was local; after 40 years, it was generalised. Conclusions Progressive osteoporosis of the lower jaw and incomplete amelogenesis are obstacles to the correct and harmonious eruption of the lower ‘wisdom’ teeth after 30 years.

Abstract. The development and application of automated technologies in the agricultural sector have significantly transformed the management and monitoring of farm animals. This paper presents a comprehensive analysis of existing technical systems for measuring the physiological parameters of farm animals, particularly focusing on cows. The primary goal of these technologies is to enhance the accuracy and efficiency of health monitoring and to optimize livestock management through continuous data collection and analysis. Key technological solutions include the use of wireless data transmission systems, radio monitoring devices, and unmanned aerial vehicles (UAVs). These technologies enable real-time tracking of animal health parameters such as body temperature, heart rate, movement patterns, and other critical indicators. The use of various sensors, including ear, neck, and intra-body sensors, plays a crucial role in collecting primary physiological data. These sensors are integrated into a broader system that includes radio modules with built-in controllers for converting raw data into digital formats, enabling wireless transmission to central systems for processing and storage. The radio monitoring of animals allows for the continuous tracking of physiological and behavioral parameters across large areas, providing crucial insights into their well-being. It is particularly beneficial in detecting early signs of disease or health issues, ensuring timely intervention, and preventing potential economic losses for farmers. The integration of unmanned aerial vehicles (UAVs) further expands the capabilities of monitoring systems, enabling the visual assessment of animals' behavior and movement across vast pastures. Equipped with video cameras and data relays, UAVs collect video footage that is transmitted to a central processing unit for real-time analysis and storage. The combined use of radio monitoring and UAV technology forms a comprehensive framework for livestock management, allowing farmers to make data-driven decisions, optimize resource allocation, and improve overall herd health and productivity. By leveraging these automated systems, it becomes possible to reduce the dependency on manual labor, minimize human error, and ensure that animals are closely monitored without the need for constant physical presence. This represents a significant advancement in modern animal farming, aligning with global trends toward smart farming and precision agriculture. In conclusion, the integration of automated physiological monitoring technologies in farm animal management presents an innovative solution for enhancing animal welfare, improving farm efficiency, and reducing operational costs. These systems hold considerable potential for further advancements in the field of animal health monitoring, ultimately contributing to more sustainable and productive farming practices.

The Northwestern Federal District is a region of Russia rich in a variety of wood species. The properties of wood in this region differ significantly from the properties of wood grown in other countries or in the eastern part of Russia, which leads to differences in energy costs of grinding wood. The aim of this research has been to estimate the specific energy costs of grinding wood to the state of wood flour, which will be used as the basis for wood polymer composite consumables in additive technologies. Wood flour has been obtained by grinding wood in a laboratory disk mill, repeatedly reducing the particle size. The granulometric composition has been analyzed for beech, oak, larch, alder and pine wood at 1, 3, 5 and 10 grinding cycles. Particle sizes have been determined by analyzing images obtained using an optical microscope and processed in the ImageJ graphic program. The specific energy costs of grinding have been estimated by recording the power with a wattmeter every second with repeated feeding of wood flour for the known mill productivity. When calculating the specific energy consumption, the moisture content of each wood species has been taken into account, as well as productivity losses associated with the adhesion of wood particles to the working surfaces of the dispersing set and the inner area of the disk mill body. The research has revealed a relationship between the specific energy costs and the particle size of wood flour obtained from various wood species. Regression analysis of curves corresponding to different wood species has made it possible to obtain exponential and power-law dependencies that do not contradict the fundamental theoretical laws of grinding solid particles. Based on these results, pine wood flour has been recognized as the most energy-efficient option. The established dependencies can be used to predict the specific energy consumption for grinding beech, oak, larch, alder and pine wood in disk mills.

Abstract Medulloblastomas (MBs) are malignant pediatric brain tumors that are molecularly and clinically heterogenous. The application of omics technologies—mainly studying nucleic acids—has significantly improved MB classification and stratification, but treatment options are still unsatisfactory. The proteome and their N-glycans hold the potential to discover clinically relevant phenotypes and targetable pathways. We compile a harmonized proteome dataset of 167 MBs and integrate findings with DNA methylome, transcriptome and N-glycome data. We show six proteome MB subtypes, that can be assigned to two main molecular programs: transcription/translation (pSHHt, pWNT and pG3myc), and synapses/immunological processes (pSHHs, pG3 and pG4). Multiomic analysis reveals different conservation levels of proteome features across MB subtypes at the DNA methylome level. Aggressive pGroup3myc MBs and favorable pWNT MBs are most similar in cluster hierarchies concerning overall proteome patterns but show different protein abundances of the vincristine resistance-associated multiprotein complex TriC/CCT and of N-glycan turnover-associated factors. The N-glycome reflects proteome subtypes and complex-bisecting N-glycans characterize pGroup3myc tumors. Our results shed light on targetable alterations in MB and set a foundation for potential immunotherapies targeting glycan structures.

The article presents the results of research conducted by the Russian IT company “Logstrim” to assess the quality of software products that include artificial intelligence in document classification and recognition tasks. During the research, a methodology was developed that allows us to evaluate the quality of software products that include artificial intelligence in document classification and recognition tasks. The developed methodology was used to evaluate the quality of the “ECO-DOC” software package, which includes the YOLO v5 neural network service, in document classification and recognition tasks. The results of testing and quality assessment of the ECO-DOC software package are presented.

The aim of the study was to summarize the available data on the relationship between adipose tissue mediators and cancer in patients with metabolic syndrome. Material and methods. A literature search was conducted using the PubMed and eliBRARY databases. Of the 400 articles published over the past 20 years, 58 studies were included in the review. Results. There is evidence of an unfavorable course of cancer in patients with metabolic syndrome that is explained by the presence of common pathogenetic pathways. In this review, special attention is paid to adipose tissue mediators that regulate the course of inflammation. The involvement of adipose tissue mediators in the pathogenesis of cancer is discussed. The relationship between adipokines of adipose tissue and the effects of specialized pro-resolving mediators (SpRM), which are metabolites of polyunsaturated fatty acids (resolvins, protectins and maresins), are considered. the associations of mediators that regulate the intensity of inflammation with the metabolic syndrome and cancer are discussed. Conclusion. Further studies will contribute to a better understanding of the relationship between metabolic syndrome and cancer and the search for adequate predictive markers to select the most effective drug strategy for correcting metabolic syndrome.

The results of a study of methods for processing optoelectronic images of the Earth’s surface are presented. The application of fractal transformations to solve the problems of automated and automatic analysis of terrain images, ensuring the separation of natural and anthropogenic objects without the use of machine learning, is shown. The analysis of existing works has shown the absence of studies linking the result of fractal transformation with the image quality recorded in real conditions of optoelectronic photography. There is no justification for choosing a specific fractal transformation for the applied processing of images with certain typical distortions. The purpose of this work was to identify the dependence of the signal-to-noise ratio of fractal dimension on the quality of the source images, to determine the type of fractal transformation that is most resistant to the effects of the considered negative factors. Methods of fractal transformations for thematic image processing are defined, which include the prism method and the differential cube counting method, and their description is presented. To study the selected methods, real images of the Earth’s surface were used, simulating distorted images of the terrain. Image distortions determined by the instability of shooting conditions and the properties of the optoelectronic complex are considered: defocusing, smudging and noise. The mathematical models used to describe them are summarized. A technique for analyzing the signal-to-noise ratio of fractal transformation is described, involving the processing of reference and distorted images of the terrain. The aspects of distortion modeling and indicators characterizing the level of image distortion are indicated. To implement the experiment, images of the area were selected characterized by various plots. For each plot, the dependences of the signal-to-noise ratio on the indicators characterizing the studied distortions are obtained. By estimating the signal-tonoise ratio, the analysis of the influence of distorting factors on the fractal dimension field being formed was performed. The results of the experiment confirmed the possibility of using fractal transformations for thematic processing of distorted optoelectronic images. It is shown that the dependence of the signal-to-noise ratio on the distortion index has a pronounced nonlinear character. It is established that for distortions of the defocusing and smearing type, the prism method is more stable, and in the presence of noise, the differential cube method is more stable. For processing images of an area represented mainly by images of forest vegetation, the best result is shown by using the differential cube counting method.

The article describes the distribution dynamics of the widely spread species Vanessa atalanta (Linnaeus, 1758) (Lepidoptera, Nymphalidae), which is for the first time reliably noted for a number of Siberian regions (Krasnoyarsk Territory, the Republic of Khakassia, Kemerovo Territory) and for Tajikistan (Western Pamir, the Bartang river valley).

Pediatric central nervous system (CNS) tumors represent the most common cause of cancer-related death in children aged 0-14 years. They differ from their adult counterparts, showing extensive clinical and molecular heterogeneity as well as a challenging histopathological spectrum that often impairs accurate diagnosis. Here, we use DNA methylation-based CNS tumor classification in combination with copy number, RNA-seq, and ChIP-seq analysis to characterize a newly identified CNS tumor type. In addition, we report histology, patient characteristics, and survival data in this tumor type. We describe a biologically distinct pediatric CNS tumor type (n = 31 cases) that is characterized by focal high-level amplification and resultant overexpression of either PLAGL1 or PLAGL2, and an absence of recurrent genetic alterations characteristic of other pediatric CNS tumor types. Both genes act as transcription factors for a regulatory subset of imprinted genes (IGs), components of the Wnt/β-Catenin pathway, and the potential drug targets RET and CYP2W1, which are also specifically overexpressed in this tumor type. A derived PLAGL-specific gene expression signature indicates dysregulation of imprinting control and differentiation/development. These tumors occurred throughout the neuroaxis including the cerebral hemispheres, cerebellum, and brainstem, and were predominantly composed of primitive embryonal-like cells lacking robust expression of markers of glial or neuronal differentiation (e.g., GFAP, OLIG2, and synaptophysin). Tumors with PLAGL1 amplification were typically diagnosed during adolescence (median age 10.5 years), whereas those with PLAGL2 amplification were diagnosed during early childhood (median age 2 years). The 10-year overall survival was 66% for PLAGL1-amplified tumors, 25% for PLAGL2-amplified tumors, 18% for male patients, and 82% for female patients. In summary, we describe a new type of biologically distinct CNS tumor characterized by PLAGL1/2 amplification that occurs predominantly in infants and toddlers (PLAGL2) or adolescents (PLAGL1) which we consider best classified as a CNS embryonal tumor and which is associated with intermediate survival. The cell of origin and optimal treatment strategies remain to be defined.

Using the PIAAC data, we show how exposure to various dimensions of nonformal and informal learning relates to the problem-solving capacity in a technology-rich environment for working adults. The sample included permanent staff from various economic sectors, self-employed individuals, and casual employees doing fixed-term contracts (n = 1248) between 16 and 65 years, 38% of participants were males. A regression analysis showed that managerial practices such as degree of autonomy, frequency of interaction with coworkers, participation in training and counseling, and handling of routine and complex in-job problems are important factors associated with problem-solving scores for the respondents at every level of educational attainment. Underdevelopment of managerial practices can be connected to the lingering transition to the market system which hinders the flexible transition of skills and training in the workplace and lowers problem-solving scores in Russia compared to OECD countries.

Relevance. The need to clean from pollution soils and water areas contaminated with oil and chemical industry wastes. Physico-chemical methods are one of the effective ways of cleaning, provided that sorbents are applied in time to collect contaminants from the surface of water areas and landscapes. Sorption is the most efficient and cost-effective method for relatively small scale pollution. Despite the variety of existing sorbents, in most cases when cleaning up accidental spills, first of all, economic benefits and oil capacity value of the sorbent are guided. However, such essential criteria as: 1) main purpose (type of polluted surface and nature of pollution); 2) physical and chemical properties, including structural characteristics and acid-base adsorption centers; 3) peculiarities of oil or other pollutants adsorption. Taking into account these factors, it is possible to develop and improve the formulation of sorbents based on phosphate foams. Introduction of various modifying additives into material composition is likely to expand their field of application. Aim. Development of formulation and technological features of obtaining new phosphate sorbents in relation to their intended purpose: for collecting oil and petroleum product spills from soil or water surfaces. Methods. Gravimetric, microscopic spectroscopic, statistical and comparative methods. Results and conclusions. The authors have compared sorbents no. 1 and 2 in terms of physical and chemical properties, morphology and cleaning efficiency. Based on our laboratory studies, we concluded that sorbent no. 1 is better suited for sorption from aqueous surfaces and sorbent no. 2 is better suited for soil cleaning. Both sorbents have the potential to improve their technological properties. This allows refining the formulation of these materials with further testing in laboratory and field conditions, for example, at oil spill sites. For this purpose, it is possible to change the material composition using a different foaming agent, applying modifying additives and varying the temperature mode of firing. Development of new compositions and methods of sorbent foaming will make it possible to select optimal characteristics for each type of contamination. The author proposed as well to create phosphate biosorbent obtained by immobilization of fungi and bacteria on the surface of highly porous carrier. In this case, after sorption of pollution, adsorbed substances will undergo biodegradation with the formation of safe products, and the sorbent will perform the role of fertilizer.