Separate Units Research Articles

On the Scalability of a Membrane Unit for Ultrapure Hydrogen Separation

Hydrogen permeation sparked a renewed interest in the second half of the 20th century due to the favorable features of this element as an energy factor. Furthermore, niche applications such as nuclear fusion gained attention for the highest selectivity ensured by self-supported dense metallic membranes, especially those consisting of Pd-based alloys. In this framework, the ENEA Frascati laboratories have decades of experience in the manufacturing, integration, and operation of Pd-Ag permeators. Most of the experimental investigations were performed on single-tube membranes, proving their performance under relevant operational conditions. Nowadays, once the applicability of this technology has been demonstrated, the scalability of the single-tube experience over medium- and large-scale units must be verified. To do this, ENEA Frascati laboratories have designed and constructed a multi-tube permeator, namely the Medium-Scaled Membrane Reactor (MeSMeR), focused on scalability assessment. In this work, the results obtained with the MeSMeR facility have been compared with previous experimental campaigns conducted on single-tube units, and the scalability of the permeation results has been proven. Moreover, post-test simulations have been performed based on single-tube finite element modeling, proving the scalability of the numerical outcomes and the possibility of using this tool for scale-up design procedures.

Study of the composition of the KCl – AlCl<sub>3</sub> – ZrCl<sub>4</sub> – HfCl<sub>4</sub> melt in relation to extractive rectification of zirconium and hafnium chlorides

In 2021, Chepetsk Mechanical Plant SC put into operation the production of a zirconium sponge of nuclear purity for the production of nuclear fuel components. The purification of zirconium from hafnium is carried out by extractive rectification in a KCl–AlCl3 melt. The experience of the plant operation has shown that the elemental analysis of the melt for the content of K, Al, Zr, Hf is not enough to determine its operational properties. During the operation of the plant at various points of the technological scheme, the composition of the melt KCl–AlCl3–ZrCl4–HfCl4 was studied by a complex of independent methods using specially developed methods. The content of the phases ZrCl4, K2ZrCl6 and AlCl3 against the background of the matrix phase KAlCl4 was studied in frozen melts by X-ray diffractometry. The regularities of changes in the content of ZrCl4, AlCl3 and K2ZrCl6 according to the technological scheme of the installation are established. The content of the X-ray amorphous component, which contains up to 1.5 wt% aluminum and up to 3.5 wt% zirconium, has been established in frozen melts. By the method of reducing melting in the presence of carbon in frozen melts, the oxygen content of up to 1.8 wt% was determined, which is part of the X-ray amorphous component, presumably consisting of AlOCl and ZrOCl2. A method for determining the AlCl3/KCl ratio based on the difference in the physicochemical properties of the melt components has been developed. Based on the results obtained, the melt composition was adjusted during the operation of the zirconium and hafnium chloride separation unit at ChMP JSC.

Англоязычный лингвокультурный сценарий “Marketing”: структурно-семантические особенности языковых единиц

The aim of the study is to identify the structural and semantic features of the linguistic units that are the means of linguistic representation of the English-language linguocultural scenario “Marketing”. The paper sheds light on the notion of a “linguocultural scenario”, describes the frame structure of the scenario by highlighting the supporting concepts and sub-concepts. The scientific novelty of the study consists in considering the English-language linguocultural scenario “Marketing”, which has not previously become the object of research, as a cognitive scheme of a speech situation using an integrated cognitive and cultural approach to linguistic material. As a result of the study, the predominance of structurally separable nominal linguistic units was determined, they are represented by non-prepositional constructions, two-component phrases with a deverbal substantive as a core element, means of compressive word formation and two-word verb phrases. Affixal agentive nouns, compound nouns denoting types of goods and basic terms of the marketing sphere, emotionally charged adjectives used in describing the qualities of goods and services, verbs of the business sphere and “highly specialized verbs” of the marketing domain predominate among structurally inseparable linguistic units.

Oxygen Storage Incorporated Into Net Power and the Allam–Fetvedt Oxy-Fuel sCO2 Power Cycle—Techno-Economic Analysis

Abstract With the planned future reliance on variable renewable energy, the ability to store energy for prolonged time periods will be required to reduce the disruption of market fluctuations. This paper presents a method to analyze a hybrid liquid-oxygen (LOx) storage/direct-fired supercritical carbon dioxide (sCO2) power cycle and optimize the economic performance over a diverse range of scenarios. The system utilizes a modified version of the NET Power process to produce energy when energy demand exceeds the supply while displacing much of the cost of the air separation unit (ASU) energy requirements through cryogenic storage of oxygen. The model uses marginal cost of energy data to determine the optimal times to charge and discharge the system over a given scenario. The model then applies ramp rates and other time-dependent factors to generate an economic model for the system without storage considerations. The size of the storage system is then applied to create a realistic model of the plant operation. From the real plant operation model, the amount of energy charged and discharged, the capital expenditures (CAPEX) of each system, energy costs and revenue and other parameters can be calculated. The economic parameters are then combined to calculate the net present value (NPV) of the system for the given scenario. The model was then run through the SMPSO genetic algorithm in Python for a variety of geographic regions and large-scale scenarios (high solar penetration) to maximize the NPV based on multiple parameters for each subsystem. The LOx storage requirements will also be discussed.

Genetics, geography, and subspecies status of American mink in Florida, with an emphasis on Neogale vison evergladensis

Historical records of American mink (Neogale vison) in Florida suggest they occur in four populations, each currently recognized as a separate subspecies. The Everglades mink (N. v. evergladensis) is a state-listed threatened subspecies, and the Atlantic salt marsh mink (N. v. lutensis) and Gulf salt marsh mink (N. v. halilimnetes) are both Species of Greatest Conservation Need, but support for their taxonomic status is limited. We acquired 62 samples of mink for genetic analysis using mtDNA and microsatellite data with the objective of assessing the subspecies status of mink in Florida with an emphasis on evergladensis. We also compared historical and current range estimates of mink subspecies in Florida using museum specimens, public sightings, and detection records from scientific studies. All estimates of FST were significant when evergladensis was paired with other subspecies and both assignment tests and the Principal Coordinate Analysis separated evergladensis from other subspecies. The single mtDNA haplotype from evergladensis was not found elsewhere in Florida but was present in a subspecies outside of Florida (vulgivaga). Genetic diversity was lowest in evergladensis and highest for vulgivaga from Louisiana. We found support for lutensis as a separate taxonomic unit and assignment tests found some support for the genetic distinctiveness of halilimnetes. Sample sizes limited analyses in halilimnetes and prevented any conclusions about the subspecies status of mink in the Panhandle. Based on current range estimates, mink from evergladensis, lutensis, and halilimnetes are geographically isolated from one another and supports the genetic analysis. Using a more modern definition of subspecies that includes genetics, distribution, and ecology, we conclude that the data supports multiple subspecies of mink in Florida.

Video frame interpolation via spatial multi‐scale modelling

AbstractVideo frame interpolation (VFI) is a technique that synthesises intermediate frames between adjacent original video frames to enhance the temporal super‐resolution of the video. However, existing methods usually rely on heavy model architectures with a large number of parameters. The authors introduce an efficient VFI network based on multiple lightweight convolutional units and a Local three‐scale encoding (LTSE) structure. In particular, the authors introduce a LTSE structure with two‐level attention cascades. This design is tailored to enhance the efficient capture of details and contextual information across diverse scales in images. Secondly, the authors introduce recurrent convolutional layers (RCL) and residual operations, designing the recurrent residual convolutional unit to optimise the LTSE structure. Additionally, a lightweight convolutional unit named separable recurrent residual convolutional unit is introduced to reduce the model parameters. Finally, the authors obtain the three‐scale decoding features from the decoder and warp them for a set of three‐scale pre‐warped maps. The authors fuse them into the synthesis network to generate high‐quality interpolated frames. The experimental results indicate that the proposed approach achieves superior performance with fewer model parameters.

Blessing or blight? How corporate venture units affect the survival of internal new ventures

The literature on structurally separate corporate venture units (CVUs) has suggested how these units may improve but also to some extent attenuate the survival chances of new ventures that are launched within the host corporation. Yet, there has been little empirical knowledge about the extent to which these units affect the survival of internal new ventures. We draw upon a dataset of 80 internal new ventures to assess if the survival of internal new ventures depends on their placement inside or outside CVUs. Controlling for a set of factors that may affect internal new venture survival, we find that placement in CVUs has a statistically significant and substantial negative effect on the chances of survival within the host corporation, and conclude that this is not due to characteristics that are associated with the internal new ventures as such. We discuss the implications of these findings for the literature on CVUs, and suggest the importance of further investigations into CVU boundaries, legitimacy, and the selection of internal new ventures from these units.

The effects of a novel, continuous disinfectant technology on methicillin-resistant Staphylococcus aureus (MRSA), fungi, and aerobic bacteria in 2 separate intensive care units in 2 different states: An experimental design with observed impact on health care associated infections (HAIs)

Hospitals are exposed to abundant contamination sources with limited remediation strategies. Without new countermeasures or treatments, the risk of health care-associated infections will remain high. This study explored the impact of advanced photohydrolysis continuous disinfection technology on hospital environmental bioburden. Two acute care intensive care units in different locations (ie, Kentucky, Louisiana) during different time periodswere sampled every 4 weeks for 4 months for colony-forming units (CFUs) of methicillin-resistant Staphylococcus aureus (MRSA) and fungi on surfaces and floors and fungi and aerobic bacteria in theair. At both sites, surface testing showed greater than 98% reduction in mean fungi and MRSA CFUs. Floor results had reductions by more than 96% for fungi and MRSA at both sites. Aerobic bacterial air and fungal CFUs had reductions up to 72% and 89%, respectively. HAIs declined 70% when postactivation data were compared to preactivation data. The continuous nature of advanced photohydrolysis decontamination, its ability to be used in occupied rooms, and its independence of human resourcesprovidean innovative intervention for complex healthcare environments. This study is on the pioneering edge of demonstrating that continuous decontamination can reduce surface, floor, and air contamination and thereby reduce the acquisition of HAIs.

BASIC PROVISIONS OF THE METHODOLOGY FOR DETERMINING THE QUANTITATIVE AND QUALITATIVE COMPOSITION OF FIELD REPAIR TEAMS FOR THE RESTORATION OF DAMAGED WEAPONS AND MILITARY EQUIPMENT OF THE ANTI-AIRCRAFT MISSILE TROOPS OF THE AIR FORCES OF THE ARMED FORCES

Analysis of the performance of combat missions by military units and separate units of the Air Force of the Armed Forces of Ukraine in the area of the Joint Forces operation in the east of Ukraine (anti-terrorist operation in the Donetsk and Luhansk regions) and during the full-scale armed aggression by the russian of the russian federation indicates a significant change in the modern forms and methods of use of troops (forces), which leads to the need to improve existing and find new ways of performing logistical support tasks, in particular, the restoration of damaged samples of weapons and military equipment. In the main provisions of the well-known methodology for determining the quantitative and qualitative composition of field repair brigades for the restoration of weapons and military groups of anti-aircraft missile units of the Air Force of the Armed Forces of Ukraine, damaged during the conduct of hostilities, the specifics of combat operations of units of anti-aircraft missile troops in modern armed conflicts and factors that can to influence the organization and implementation of logistical support for the repair and restoration of anti-aircraft missile weapons. A methodology for determining the quantitative and qualitative composition of field repair teams for the restoration of damaged weapons and military equipment of the Air Force of the Armed Forces of Ukraine was developed and proposed. The methodology is aimed at the use of logistical support bodies when conducting operational-tactical and logistical calculations at the stages of early, direct planning and conducting combat operations. The methodology is one of the components in the creation of a methodological apparatus for the functioning of the system of restoring weapons and military equipment, the process of supporting the decision on the logistical support of troops (forces) during the preparation and conduct of hostilities (military operations). This technique can be used as a basis for the development of similar techniques for assessing the possibility of restoring the armament and military equipment of other branches of the Air Force of the Armed Forces of Ukraine.

Formation of a system of production capacity indicators

The term “production capacity” has always been one of the most important in the theory and practice of production management of an engineering enterprise. In the current conditions the issues of determining and classifying production capacity of manufacturing enterprises are of particular significance. Possessing reliable data on production capacity of a manufacturing enterprise one can determine the production output and the equipment workload level, and run the available production facilities effectively. The reliability of the information essential for decision-making depends on the methodology of determining and classifying production capacity of manufacturing enterprises. The purpose of the study is to reveal the contents of the system of specific indicators of the term “production capacity”. To achieve the goal the author of the article studies the problems of evaluation of production capacity of separate manufacturing structural units and the entire company. The subject of the study is the principles and methods of classification of the indicators of production capacity of a manufacturing enterprise. The article presents the author’s approach to defining the essence and classifying the production capacity indicators. To achieve the goal the authors applied the analysis and synthesis methods. Application of the deduction principle allowed creating a system of production capacity indicators. The study has been based on the review of relevant scientific and periodical economic publications. The contents and the volume of the “production capacity” concept have been established. The proposed system of individual indicators of production capacity allows increasing the accuracy of calculation of production capacity, identify time reserves for various operations, efficiently plan the equipment exploitation and improve operational and calendar planning at the manufacturing enterprise.

Genetic connectivity in the Arizona toad (Anaxyrus microscaphus): implications for conservation of a stream dwelling amphibian in the arid Southwestern United States

The Arizona Toad (Anaxyrus microscaphus) is restricted to riverine corridors and adjacent uplands in the arid southwestern United States. As with numerous amphibians worldwide, populations are declining and face various known or suspected threats, from disease to habitat modification resulting from climate change. The Arizona Toad has been petitioned to be listed under the U.S. Endangered Species Act and was considered “warranted but precluded” citing the need for additional information – particularly regarding natural history (e.g., connectivity and dispersal ability). The objectives of this study were to characterize population structure and genetic diversity across the species’ range. We used reduced-representation genomic sequencing to genotype 3,601 single nucleotide polymorphisms in 99 Arizona Toads from ten drainages across its range. Multiple analytical methods revealed two distinct genetic groups bisected by the Colorado River; one in the northwestern portion of the range in southwestern Utah and eastern Nevada and the other in the southeastern portion of the range in central and eastern Arizona and New Mexico. We also found subtle substructure within both groups, particularly in central Arizona where toads at lower elevations were less connected than those at higher elevations. The northern and southern parts of the Arizona Toad range are not well connected genetically and could be managed as separate units. Further, these data could be used to identify source populations for assisted migration or translocations to support small or potentially declining populations.

THE EFFECT OF PRIMARY LOCALIZATION OF COLORECTAL CANCER
 ON KRAS STATUS AND ITS PROGNOSTIC VALUE

Relevance: Colorectal cancer (CRC), arising from the right-sided or left-sided colon, is a separate clinical and pathological unit. The status
 of KRAS and its predictive value in CRC remain controversial.
 The study aimed to explore the effect of primary tumor localization on KRAS gene status in CRC.
 Methods: The study included 60 patients with colon and rectal cancer. The KRAS mutation test was performed on paraffin-coated tumor samples
 using PCR methods. Colon cancer was divided into right-sided colon cancer (RSCC) and left-sided colon cancer (LSCC).
 Results: KRAS mutation was found much more often in rectal cancer (RC) and sigmoid colon (SC) (p=0.413) than in tumors in other parts
 of the colon. A combined analysis of our data and previously published data showed that KRAS mutation was more common in PSTC, especially
 in the area of the hepatic bend of the colon than in LSTC (p=0.120). The association of the KRAS mutation with the patient’s age (p<0.012) and
 the duration of hospitalization (p<0.001) was established.
 Conclusion: Our study revealed no significant difference in the KRAS status between colon cancer and rectal cancer. However, KRAS
 mutation was much more common in RSCC compared to LSCC. Patients with RSCC with mutated KRAS also had a worse prognosis and
 required longer hospitalization compared to wild-type KRAS. However, patients with LSCC did not demonstrate a similar effect.

A multi-step attack path prediction method for oil & gas intelligence pipeline cyber physics system based on CPNE

Owing to the integration of the 5th Generation Mobile Communication Technology (5 G) and industrial internet construction, Oil & Gas intelligent pipeline network has witnessed accelerated construction and development. The Oil & Gas intelligent pipeline network proposed by China National Petroleum Corporation exhibits the advantages such as high integration, data unification, and intelligent decision-making, which helps to greatly reduce manual management costs, optimize risk decision-making by managers, and avoid risks such as human misuse. However, the highly integrated Cyber-physical system of the Internet and the Internet of Things faces various cyber security threats, and traditional intrusion detection systems exhibit drawbacks in the face of complex cyber-attack behaviors. In response to incomplete multi-step attack path prediction in traditional prediction methods, this paper proposes a multi-step attack path prediction method for Oil & Gas intelligence pipeline cyber physics system (CPS) based on Colored Petri nets and mixed strategy Nash equilibrium (CPNE). Taking into account the importance of assets and the dependency relationships between assets within the cyber-physical system of Oil & Gas intelligent pipeline network, CPNE constructs a node dependency model for the cyber-physical system of Oil & Gas intelligent pipeline network, simulates multi-step attack and defense games, calculates the probability of node failure triggering and transfer using mixed strategy Nash equilibrium, and extracts the risk of multi-step attack paths for different attack strategies. With the filtration and separation unit of a certain natural gas station as an example, this paper establishes a CPNE model to rank the risk of the first multi-step attack single attack source path and predict the risk of subsequent multi-step attack source paths, thus predicting multi-step attack paths. Taking three rounds of attacks as an example, compared to the paths predicted by traditional probability attack graph models, the proposed CPNE model is more advantageous in multi attack source path prediction, with a 2.33-fold increase in the relative coverage rate of path predictions.

Lateral semiconductor magnonics: an array of GaAs stripes atop the YIG layer

In this work, we demonstrate the numerical and experimental research of the spin-wave transport in a structure composed of a gallium arsenide (GaAs) stripe lattice interfaced to an yttrium iron garnet layer. We show that this structure can be considered as an array of an infinite number of laterally coupled ferrite-semiconductor waveguides. We show that the surface wave properties for colinear propagation along the semiconductor stripes are similar to the waves in magnetic films with partial metallization. In addition, the properties of these surface waves depend on the electron concentration of the GaAs and thus may be tuned. With regard to the wave propagation at a certain angle to the GaAs stripe lattice, the Bragg resonance forms and the corresponding band gap depend on the angle between the wave to the stripes and on the GaAs electron density. The Brillouin light scattering technique was used to experimentally observe the spin-wave beam transformation, and microwave measurements support the numerical data and reveal the mechanism of the dip formation and widening of the frequency range in the spin-wave transmission. The proposed structure could be used as a reconfigurable metasurface and magnonic beam separation unit.

Elevational and climatic gradients shape the genetic structure of a typical Tibetan loach Triplophysa stenura (Cypriniformes: Nemacheilidae)

Species resilience to diversified environments largely depends on their genetic diversity. Disentangling the respective roles of multiple landscape factors on population genetic variation could help us interpret the adaptive mechanism of species to environments, which is a central issue in evolutionary biology and biodiversity conservation. Herein, a typical Tibetan loach Triplophysa stenura was selected as study object to perform landscape genetics analyses inferred from mitochondrial cytochrome b gene sequences. Based on extensive sample collection, a total of 377 individuals from 20 sites in the Yarlung Tsangpo River were included in the analyses and results of genetic diversity assessment demonstrated relatively high haplotype diversity and low nucleotide diversity for most geographic populations. Genetic diversity pattern analysis proved that both haplotype and nucleotide diversity were greater in higher, colder and drier areas, which was consistent with the central-marginal hypothesis for this plateau hinterland-originated species. Degree of genetic differentiation among geographic populations varied from low level to extremely high level, with genetic variation coming mainly from within populations. Elevational and climatic divergences were detected to be principally responsible for the formation of population genetic structure of this species, coinciding with the isolation-by-environment model. On this basis, we put forward some applicable proposals that the marginal populations with relatively low elevations deserved more attentions in designing conservation scheme and those genetically differentiated populations should be treated as separate conservation units. In the context of global climate change and intensifying human activity, a sound genetic resources monitoring along elevational or climatic gradient is pivotal to develop future conservation interventions.

A concurrent fault diagnosis method for electric isolation valves in nuclear power plants based on rule-based reasoning and data-driven methods

In order to improve the fault diagnosis ability of electric isolation valves in nuclear power plants, especially for the diagnosis of concurrent faults, a novel concurrent fault diagnosis method based on rule reasoning and data-driven methods is proposed in this study. The concurrent fault diagnosis method is divided into two layers: the rule-based reasoning layer and data-driven layer. In order to realize the diagnosis of most concurrent faults, the rule-based reasoning layer is established by a rule inference model according to the failure mode and effects analysis (FMEA) of the electric isolation valve. In order to diagnose concurrent faults with mutual interference of fault features that cannot be diagnosed by rule-based reasoning layer, the data-driven layer is established by variational mode decomposition (VMD) and fast independent component analysis (Fast-ICA) method to separate concurrent fault signals and gate recurrent unit (GRU) method to identify fault patterns. After testing on the electric valve test bench and simulation data, multiple concurrent faults of the electric isolation valve are diagnosed accurately by the proposed concurrent fault diagnosis framework, including complex concurrent faults such as internal leakage and external leakage, and the framework can also work in a single fault diagnosis scenario without changing models. Compared with the concurrent fault diagnosis based on multi-label support vector machine, the accuracy of concurrent fault diagnosis is improved by about 25.3%. The research can provide a new idea for the concurrent fault diagnosis of electric isolation valves and other equipment.

Enzymatic conversion of CO2 to formate: The potential of tungsten-containing formate dehydrogenase in flow reactor system

This study introduces a novel approach for CO2 reduction to formate using the recombinant formate dehydrogenase 1 (MeFDH1) from Methylorubrum extorquens AM1 as biocatalyst, addressing challenges in activity, productivity, and long-term stability of enzyme. We demonstrate that immobilized MeFDH1 supported by electrochemical reaction system enhances formate production and stability, achieving over 1.7 M concentration with an initial rate of 20 mM/h and near-unity Faradaic efficiency for over 200 hours. In further, the reusability of immobilized MeFDH1 was obtained without significant declination of productivity and selectivity. The electrochemical study of MeFDH1 found the product inhibition in continuous CO2 conversion. To overcome this challenge and build efficient process, the integration of a flow reactor system and in-situ separation unit further improved the system's performance and scalability. This advancement in enzymatic CO2 conversion suggests the potential of biocatalysis towards addressing global warming through sustainable chemical synthesis.

Biogas Upgrading Using a Single-Membrane System: A Review.

In recent years, the use of biogas as a natural gas substitute has gained great attention. Typically, in addition to methane (CH4), biogas contains carbon dioxide (CO2), as well as small amounts of impurities, e.g., hydrogen sulfide (H2S), nitrogen (N2), oxygen (O2) and volatile organic compounds (VOCs). One of the latest trends in biogas purification is the application of membrane processes. However, literature reports are ambiguous regarding the specific requirement for biogas pretreatment prior to its upgrading using membranes. Therefore, the main aim of the present study was to comprehensively examine and discuss the most recent achievements in the use of single-membrane separation units for biogas upgrading. Performing a literature review allowed to indicate that, in recent years, considerable progress has been made on the use of polymeric membranes for this purpose. For instance, it has been documented that the application of thin-film composite (TFC) membranes with a swollen polyamide (PA) layer ensures the successful upgrading of raw biogas and eliminates the need for its pretreatment. The importance of the performed literature review is the inference drawn that biogas enrichment performed in a single step allows to obtain upgraded biogas that could be employed for household uses. Nevertheless, this solution may not be sufficient for obtaining high-purity gas at high recovery efficiency. Hence, in order to obtain biogas that could be used for applications designed for natural gas, a membrane cascade may be required. Moreover, it has been documented that a significant number of experimental studies have been focused on the upgrading of synthetic biogas; meanwhile, the data on the raw biogas are very limited. In addition, it has been noted that, although ceramic membranes demonstrate several advantages, experimental studies on their applications in single-membrane systems have been neglected. Summarizing the literature data, it can be concluded that, in order to thoroughly evaluate the presented issue, the long-term experimental studies on the upgrading of raw biogas with the use of polymeric and ceramic membranes in pilot-scale systems are required. The presented literature review has practical implications as it would be beneficial in supporting the development of membrane processes used for biogas upgrading.

Investigation on Distillation Column Sequence and Heat Integration Effects in Methanol to Propylene Separation Unit: An Economic Optimization Study Based on Pinch and Exergy Analysis

Investigation on Distillation Column Sequence and Heat Integration Effects in Methanol to Propylene Separation Unit: An Economic Optimization Study Based on Pinch and Exergy Analysis

Evaluation of Modern Domestically Produced Harvester-threshers With a Single-drum Threshing and Separating Unit Design

The current state of the grain production sub-sector is analyzed. Brief technical characteristics and the functional operational features of modern models of domestically produced harvester-threshers with a classic single-drum threshing and separating unit design are given. The quality of the harvesting process has been assessed and the recommendations on the efficiency of using combine harvesters were given.