Industrial Problems Research Articles

Viroporin-like activity of the hairpin transmembrane domain of African swine fever virus B169L protein.

African swine fever virus (ASFV) is the causative agent of a contagious disease affecting wild and domestic swine. The function of B169L protein, as a potential integral structural membrane protein, remains to be experimentally characterized. Using state-of-the-art bioinformatics tools, we confirm here earlier predictions indicating the presence of an integral membrane helical hairpin, and further suggest anchoring of this protein to the ER membrane, with both terminal ends facing the lumen of the organelle. Our evolutionary analysis confirmed the importance of purifying selection in the preservation of the identified domains during the evolution of B169L in nature. Also, we address the possible function of this hairpin transmembrane domain (HTMD) as a class IIA viroporin. Expression of GFP fusion proteins in the absence of a signal peptide supported B169L insertion into the ER as a Type III membrane protein and the formation of oligomers therein. Overlapping peptides that spanned the B169L HTMD were reconstituted into ER-like membranes and the adopted structures analyzed by infrared spectroscopy. Consistent with the predictions, B169L transmembrane sequences adopted α-helical conformations in lipid bilayers. Moreover, single vesicle permeability assays demonstrated the assembly of lytic pores in ER-like membranes by B169L transmembrane helices, a capacity confirmed by ion-channel activity measurements in planar bilayers. Emphasizing the relevance of these observations, pore-forming activities were not observed in the case of transmembrane helices derived from EP84R, another ASFV protein predicted to anchor to membranes through a α-helical HTMD. Overall, our results support predictions of viroporin-like function for the B169L HTMD.IMPORTANCEAfrican swine fever (ASF), a devastating disease affecting domestic swine, is widely spread in Eurasia, producing significant economic problems in the pork industry. Approaches to prevent/cure the disease are mainly restricted to the limited information concerning the role of most of the genes encoded by the large (160-170 kba) virus genome. In this report, we present the experimental data on the functional characterization of the African swine fever virus (ASFV) gene B169L. Data presented here indicates that the B169L gene encodes for an essential membrane-associated protein with a viroporin function.

Vibrational and Dissipative Characteristic Measurement of Solid-state Wave Gyroscope Resonators: Algorithms Based on the Identification of Free Oscillation Equations

The article describes the methodological basis for constructing computational circuits of different complexity degrees and different purposes for solving a wide range of industrial and laboratory problems to measure angular irregularity of vibrational-dissipative resonatorcharacteristics of integrating solid-state wave gyroscopes. The main method to solve such problems is the identification of the coefficients of the differential equations of quartz hemispherical resonator state in the mode of its free oscillations. The resonator oscillation equations both in the fixed measuring axes and in the moving axes of standing waves were chosen as the equations of state. After reduction to slow variables, only slowly changing amplitudeequations are left for identification problems. In all the described circuits, it is assumed that the information signals for the solved identification tasks are formed in a measuring device similar to the standard gyroscope device. These algorithms make it possible to measure the vibrational and dissipative characteristics of resonators with different degrees of completeness and directionality for different standard initial requirements to themeasurement accuracy and experimental modes, which makes it possible to reduce the measurement time and labor intensity of the established set of production control operations. Among the tasks to be solved for the free run-down mode of the resonator wave pattern are the following: angular irregularity measurement of the gyroscope resonator dissipative properties under conditions of low and significant residual frequency difference; angular non-uniformity measurement of gyroscope resonator vibrational properties (its different frequency); simultaneous measurement of resonator oscillatory and dissipative characteristics for fixed and special rotating gyroscope modes. The detailed processing of the computational schemes for the implementation of these algorithms is focused on their practical application for various tasks of production operational control. At the same time, the choice of the most suitable computational algorithm from the considered options depends on the conditions, requirements and specifics of measurements.

Use of reactive power compensation devices in implementation of distributed generation

In Ukraine, a gradual reduction of electricity production at thermal power plants is planned due to the development of renewable sources of electricity. Small hydraulic power plants are being restored, solar power plants and wind power plants are being built. This will allow solving the existing problems of the domestic energy industry regarding the shortage of fuel resources, energy security and reducing the level of harmful effects on the environment caused by the operation of traditional sources of electricity. There is a trend of transition from a purely centralized electricity supply to a combined one, when the number of local decentralized sources of electricity directly in distribution networks is increasing. In this way, distribution electric networks are gradually transformed into a network with features characteristic of a local electric system, which receives power both from its own distribution electric networks and from a centralized source - the electric power system. Renewable energy has a number of advantages compared to traditional energy, but there are also disadvantages. Among them, the complications of the functioning of electrical networks should be highlighted in the event of an increase in the capacities of renewable sources of electricity installed in them and the instability of generation due to their natural dependence on meteorological conditions, if we talk more specifically about technical shortcomings, then this concerns - sinusoidal of voltages and currents and voltage deviations, quality assurance of electricity, which directly depends on ensuring the balance of active and reactive power in the electrical system. Hence the need for coordinated power supply from renewable sources of electricity and substations of the power system. At the same time, there is a gradual transition from the wholesale electricity market of a single buyer to the balancing market of electricity and electricity supply under bilateral agreements, as well as the introduction of market management methods. This article discusses measures to reduce electrical energy losses, limit voltage deviation, improve the quality of electrical energy, and compensate for the reactive power of local loads due to the introduction of reactive power compensation devices together with renewable sources of electricity and facilitating their integration into the power grid.

Telescopic forklift selection through a novel interval-valued Fermatean fuzzy PIPRECIA–WISP approach

Telescopic forklifts stand apart from other forklift types, boasting numerous benefits. They offer notable advantages, such as enhanced manoeuvrability, accessibility to elevated areas, versatility, and the capacity to operate at high speeds. Choosing appropriate telescopic forklifts can substantially enhance operational efficiency and efficacy within the industry. Concurrently, it can bolster business competitiveness by expediting logistical processes, yielding notable cost reductions. Nonetheless, the intricacy and specificity inherent in these machines complicate the decision-making process for stakeholders. Furthermore, conflicting criteria, the continuous evolution of manufacturers’ models, and the industry’s intricate nature compound the selection challenges. Hence, there is a pressing need for a resilient, dependable, and practical decision-making framework capable of adeptly navigating uncertainties to yield reliable and coherent outcomes. This study aimed to develop an integrated decision-making model based on interval-valued Fermatean fuzzy (IVFF) sets to respond to these requirements and address this critical decision-making problem in the relevant industry, which is also significantly affected by complex uncertainties. This work, therefore, introduces an integrated methodology for decision-making, IVFF–PIPRECIA and IVFF–WISP techniques. IVFF–PIPRECIA determines criteria importance weights, whereas IVFF–WISP identifies optimal alternatives. A case study in the textile industry validates the framework’s practicality. Purchase price emerges as the primary criterion, exceeding 500 thousand euros for telescopic forklifts, followed closely by load-carrying capacity. The second alternative proves to be the best option. Comparative and sensitivity analyses confirm the model’s credibility. The approach effectively handles decision-making uncertainties, yielding competitive outcomes. It can be applied to diverse engineering problems. Insights from this study assist users in selecting optimal equipment and may inform forklift manufacturers in improving machinery. Future research could focus on establishing real-time operational data collection frameworks for these vehicles.

Toward a more sustainable mining future using a novel dodecanediohydroxamic acid: Adsorption mechanism and DFT calculation

Prometheus stole fire for mankind, but tungsten brought light to mankind. Wolframite is beneficiated through froth flotation and used as a raw material to produce tungsten. However, the flotation of wolframite using the surfactants as the collector at low temperature is still one of the most significant problems in industry. In this paper, a novel hydroxamic acid surfactant dodecanediohydroxamic acid (DHA) was synthesized and firstly used in wolframite ore flotation, which was compared with the conventional monomolecular collector sodium oleate (NaOL). The results of flotation test indicated that the changes of the temperature did not significantly influence DHA’s collecting power in floating wolframite. At 0 °C, wolframite concentrate with WO3 recovery of 83.65 % and grade of 55.25 % was obtained by using 200 g/t DHA. Density functional theory (DFT) calculations suggested reactive sites of DHA were two –C(O)NHOH groups, and DHA showed superior electron-donating ability and chemical reactivity that may promote its flotation performance.

Keratin hydrolysate as a chrome exhaust aid and keratin filler in leather processing: A cleaner technology approach for tannery solid waste management and leather manufacturing

Hair burning unhairing and dampening of tannery wastes during the hair-saving unhairing process are becoming significant problems in the tanning industry. Therefore, this research article focuses on the extraction of keratin hydrolysate (KH) and its application as a chrome exhaust aid and keratin filler in leather manufacturing process. The structure, morphology and functional groups of the extract were examined using X-Ray Diffractometer (XRD), scanning electron microscopy (SEM) and Fourier transform infrared spectrometer (FTIR), respectively. To study and contrast the degree of improvement in chromium uptake, the KH solution was applied both before tanning on the pickled pelt and after tanning during basification. The thermal stability, physical strength characteristics and organoleptic properties of the leathers obtained were characterized. Furthermore, the environmental impact of the tanning system was assessed through a comparative analysis of the spent liquors. Finally, experimental retanning process was conducted to replace the commercial protein filler (Celatan F: 50, 75, and 100 %) with KH solution, with concurrent processing of control leather using conventional chrome tanning agent at 6 % dosage of chromium. The FTIR analysis of the extract confirmed the presence of alkyl side chains of amino acids as well as carboxylic, amide, carboxyl group and aldehyde functional groups at 1400-1700 cm−1,3,303.46 cm−1,3270 cm−1 and 2752 cm−1, respectively. XRD spectrum showed two diffraction peaks at 2 theta values of 9.36° and 21.16°, respectively. Leathers with improved mechanical strength, organoleptic properties and thermal stability were obtained with 100 % substitution of Celatan F at pH 6 and 10 % chromium dosage. It was also discovered that the shrinkage temperature of the experimental leather was enhanced to more than 105 °C. Environmental impact evaluation on the spent liquor showed that the complete replacement of Celatan F with KH solution brought about a notable decrease in COD and TDS in the spent liquor. The extraction and application of tannery hair waste-based keratin hydrolysate as an efficient, environmentally friendly chrome exhaust aid and keratin filler has been attempted and established in this research article.

Pathogenicity evaluation of Cytospora species in 13 apple (Malus domestica) varieties and wild apple (Malus sieversii) in Xinjiang, China

AbstractApples are a popular fruit worldwide and are cultivated in the Xinjiang Uygur Autonomous Region (XUAR) in China. Cytospora canker disease is a serious problem in the apple industry in China. Pathogenicity of all historically recorded Cytospora species from Malus hosts was tested on the leaves and breaches of 13 varieties of apple (Malus domestica) and wild apple (Malus sieversii). Cytospora leucosperma and Cytospora pruinopsis were the most aggressive pathogens on apple and wild apple trees in Xinjiang. Meanwhile, Cytospora leucostoma, Cytospora nivea and Cytospora parakantschavelii were the least aggressive. In addition, Fuji and Golden Delicious were the most Cytospora canker disease‐resistant apple varieties and are recommended for future promotion. However, Sitagan and Erzizi were readily infected by Cytospora. Our findings provide a theoretical basis for field disease epidemic monitoring and tailoring disease prevention and control strategies based on the disease resistance of the variety and the aggressiveness of the pathogen.

Bioactive peptides from by-products of shrimp processing: A review

Currently, the mismanagement of marine by-products (head, skin, guts, blood, and bones) is a problem for the seafood processing industry, causing economic losses and environmental problems. Shrimp is a high-protein marine plankton species, and after processing, 45% of the total weight is discarded. Therefore, processes must be developed to recover biomolecules from this waste. Hydrolysis of shrimp by-products is an efficient way to add value to the protein for the extraction of bioactive peptides. The present review focuses on recent research on the use of marine by-products to obtain bioactive peptides, especially those from shrimp waste, and discusses their benefits for human health. Protein hydrolysates from shrimp by-products are a viable and technological strategy to obtain peptides of different sizes and improved antioxidant, anti-hypertensive, anti-inflammatory, and hypocholesterolaemic activities. Therefore, the reuse and valorisation of shrimp by-products by obtaining bioactive peptides is an active research area, with potential applications and beneficial effects for human health, the environment, and the economy. However, further studies are needed to ensure their safe use, and to understand their mechanism of action.

Use of Machine Learning Models to Warmstart Column Generation for Unit Commitment

The unit commitment problem is an important optimization problem in the energy industry used to compute the most economical operating schedules of power plants. Typically, this problem has to be solved repeatedly with different data but with the same problem structure. Machine learning techniques have been applied in this context to find primal feasible solutions. Dantzig-Wolfe decomposition with a column generation procedure is another approach that has been shown to be successful in solving the unit commitment problem to tight tolerance. We propose the use of machine learning models not to find primal feasible solutions directly but to generate initial dual values for the column generation procedure. Our numerical experiments compare machine learning–based methods for warmstarting the column generation procedure with three baselines: column prepopulation, the linear programming relaxation, and coldstart. The experiments reveal that the machine learning approaches are able to find both tight lower bounds and accurate primal feasible solutions in a shorter time compared with the baselines. Furthermore, these approaches scale well to handle large instances. History: Accepted by Andrea Lodi, Area Editor for Design & Analysis of Algorithms—Discrete.

Efficiency of oxygenates on increase of octane number of reforming gasoline

At present, gasoline occupies one of the leading places among primary energy sources. The need of mankind in it, in its high quality, is greater than in any other fraction of hydrocarbons. Therefore, very high requirements are made to the operational properties of automobile gasoline, and the problem of improving the quality of gasoline is one of the urgent problems of the chemical industry. Modern vehicles require fuel with a high-octane number with properties preventing detonation and having octane numbers of 92, 95 and 98 for engines. High anti-detonation performance can be achieved through complex gasoline processing using catalytic cracking, isomerization and alkylation methods or by adding special high-octane additives to fuel. The world's leading trend in improving the environmental and performance characteristics of motor gasoline is the use of multifunctional additives, in particular oxygenates – compounds containing oxygen (such as alcohols, ketones, esters and others). The use of oxygen-containing components (oxygenates) is one of the promising ways to produce high-octane gasoline. Currently, in industrialized countries, oxygenates are actively used as a preferred substitute for organometallic anti-detonation additives and components of high-octane gasoline. In the presented work the properties of a new oxygenate - dimethyl ethynylcarbinol (DMEC), as an additive that increases the octane number of gasoline, are investigated. The study of the effect of oxygenates as methyl tert-butyl ether (MTBE) and DMEK on increasing the octane number of reforming gasoline showed that the increase in the octane number of gasoline when adding DMEK and binary additive is higher than when adding MTBE. According to the results of research, tertiary acetylene alcohol - DMEK can be offered as an oxygen-containing additive for automobile gasoline. The use of DMEK allows to expand the resources of high-octane components, reduce the toxicity of gasoline and exhaust gases, increase the production of high-quality commercial gasoline for automotive engines.

Contribution of Twenty-first Century Leadership to the Employees’ Innovative Work Behavior: A Systematic Literature Review

Employee innovative work behavior drives the generation of new ideas, which in turn fosters organizational innovation and competitiveness. Many elementsinfluence this behavior, the most important being the leadership. The term"innovative work behavior" has evolved, and this has led to a great deal ofresearch looking into different leadership roles and how they affect employeeinnovation. The research on leadership in the context of employee creativity andinnovation is extensive and encompasses more than one hundred leadershiproles from various viewpoints. Undertaking a Systematic Literature Review (SLR)in this field is essential to establishing future leadership strategies that effectivelytackle the intricate problems of contemporary industries. The 608 empirical studiesincluded in the current SLR were retrieved from the reputable databases Scopusand Web of Science. These studies investigated how leadership in primary,secondary, and tertiary industries foster employee creativity and innovation. Threekey themes are identified by the study: a comprehensive evaluation of variousleadership studies; an industry-specific analysis that reveals a narrow focus in theprimary sector; and an investigation of the transformational, transactional, andhybrid leadership styles. The SLR established taxonomies to classify previousresearch, identify unexplored domains, and direct the selection of variables forsubsequent research. In the era of digitalization, the conventional dominance oftransformational and transactional leadership is under threat from the need fornovel approaches to problem-solving. The literature emphasizes the importance ofadaptive leadership styles and the shortcomings of old leadership paradigms intackling contemporary issues. The study followed five steps SLR method fromformulating the research topic, carrying out an exhaustive search, putting inclusionand exclusion criteria to use, picking and extracting data from pertinent studies,and to presenting and analyzing the results. The synthesis of a large body ofresearch in this SLR makes a substantial contribution to our knowledge of the rolethat leadership plays in employee creativity. The identification of underexploredindustries requires targeted research efforts to address opportunities andconstraints unique to the primary industry, particularly in the agriculture sector.This can be accomplished by categorizing leadership styles, recognizing markettrends, and recommending taxonomies for further investigation. In conclusion, thisstudy offers valuable insights for developing effective leadership strategies thatfoster innovative work behavior and accelerate organizational innovation in thetwenty-first century

DEVELOPMENT OF THE DEFENCE INDUSTRY OF UKRAINE TO ENSURE NATIONAL SECURITY

The national defence industry concentrates on military, electronic, information and space technologies. In the near future, Ukraine's defence industry may become one of the most knowledge-intensive industrial sectors of the economy. Accordingly, the purpose of the study is to assess the capacity of Ukrainian defence enterprises to produce weapons and military equipment to ensure national security. The research aims not only to assess the problems of the defence industry under martial law but also to ensure the effective development of the defence industry sectors by identifying priority areas of funding.It was found that the current state of the Ukrainian defence industry does not meet the current realities of the time, especially in the context of Russia's full-scale invasion of Ukraine. The provision of equipment and weapons to military units is at a low level. It is found that the renewal of modern models of weapons and military equipment of the Armed Forces of Ukraine, before the full-scale invasion, was less than 1%, which in turn did not allow to compensate for the rate of ageing of existing weapons. The authors suggest ways to support the development of Ukraine's defence industry, in particular, through the creation of a Defence Industry Development Fund.The authors propose to create a Defence Industry Development Fund using public and private sources of funding not prohibited by the legislative framework of Ukraine, which will expand the capabilities of defence industry enterprises to produce weapons and military equipment. The creation of a system of multi-level continuous education in the defence industry and long-term conditions for the sustainable development of the defence industry's human resources will allow to engage in capacity building and reach a new level of support for the Armed Forces of Ukraine through the implementation of NATO standards.

TOURISM IN INDIA’S UTTAR PRADESH: POTENTIALS, CHALLENGES AND OPPORTUNITIES

The place of impiccable charm with matchless heritage sites and enriched culture or the land of historic importance, which is also known for divinity and devotion, called popularly as “heaven of earth” is India and in no way nose-dive to amaze any of the visitors in any part of it. The Uttar Pradesh in the heart soul of India is an Interior state surrounded by other states, with its high diversity comprising multi faiths, culture and traditions and attractive distinct destinations. A large number of the visitors visit this sole part of the country not only from abroad but also from within the country from north to south or east to west. The presence of one of the Seven Wonders of the World, the grand, gracious and wandering monument – The Taj Mahal, fascinate every generation hence it becomes the heartland of India with top heritage sites. Tourists from across the world arrive Uttar Pradesh not only for its magnanimous monuments but also for its mythological significance for example Ayodhaya and Mathura, the birth place of Lord Rama and Lord Krishna respectively. In continuity the state has an advent of rich culture embedded with mythological recognition including the major rivers of the Indian sub-continent and their point of connation called as Sangam in Allahabad. In the exploration of these diverse and distinct paradigms, the complications or problems that creates some opportunity and agony both, the undertaken work aims to study the prevailing prospects and problems of tourism industry in Uttar Pradesh. The paper focuses both distinctiveness which attract the travellers to the state and the potential problems that they encounter during their visit. Beside the paper also pin points some prospective aspects to promote and strengthen the tourism in the state.

AHP와 IPA 기법을 활용한 서비스 표준화 전략에 관한 연구

The service industry is undergoing changes such as digital transformation, and it is expected that the number of employees in all types of service industries will increase in the future. Therefore, service certification and standardization is essential to secure the competitiveness of the domestic service industry along with the leap to high-value-added industries. Existing research has focused on certification and standardization strategies to revitalize specific service sectors, but there is a lack of research on the service industry as a whole. Therefore, this study aims to develop the importance and priority of domestic service standardization strategies using AHP and IPA analysis to secure the competitiveness of the domestic service industry. Prior to the analysis, we first reviewed service standards, the current status of the domestic service industry, the current status of domestic service standards, and the current status of international service standards. Through the literature study, three large categories (pure service standards, service delivery infrastructure standardization, and service-applicable management service standardization) and eight medium categories (logistics and distribution, finance, safety, basic IT, education, telecommunications, tourism, and environment) were identified for AHP analysis. The analysis result of the 100 core service standards strategy showed that the development of standards in the fields of ‘social safety services’ and ‘promising services’ was evaluated as a high priority. The AHP analysis shows that ‘safety’ is the most important and urgent among ‘service delivery infrastructure standardization’, reflecting that safety is a top consideration in the service industry, suggesting that safety-related standards should be given top priority when establishing service standardization strategies. This study is expected to be used as a basis for the development of the domestic service industry and the development of certification by suggesting priorities for policies that reflect the problems of the domestic service industry, changes in the service industry, and prospects for the service industry, and to derive service strategies.

Advancing Dairy Herd Health: Predictive Models for Hoof Trimming in Lameness Management

Hoof lesions and lameness in cattle is currently a serious problem in the dairy industry which significantly affects the health and welfare of animals. Predictive modelling offers a promising solution by leveraging data analytics to anticipate when an animal may require hoof trimming, thereby enhancing proactive lameness management strategies. The aim of this study was to develop models on hoof trimming intervention on lameness in dairy cattle before and after hoof trimming. In this study twenty lame cows were selected and lameness index score was given to them (0-5 score). Lameness index scores were recorded before week of hoof trimming (HT) and after hoof trimming intervention it was recorded on 0thday, 3rdday, 6thday, 8thday,11thday and 14thday. To predict the lameness, best fit models were constructed using different independent variables which were significantly influencing lameness. The reliable model was applied to draw the significant interference based on the coefficient of determination (R²). Only those independent variables which were significantly influencing lameness were used to construct prediction models. Among all the variables used for multiple regression analysis, age, parity, milk yield, milk pH, stage of lactation and dung pH was attributing significantly to the prediction of lameness in all studied lame dairy cows..

A robust optimization to dynamic supplier decisions and supply allocation problems in the multi-retail industry

The research focuses on multi-retail distribution with a strategic distribution network. Challenges include intense competition, logistical and transportation complexities requiring robust infrastructure like warehouses and efficient supply chain management, as well as operational inefficiencies and distribution costs. To address these issues, a model is applied to make strategic decisions, such as determining the necessary number of facilities to minimize total supply chain network operational costs and infrastructure for retail distribution. The outcome is a model that introduces a novel approach to enhancing supply chain efficiency and effectiveness from production to distribution stages, thereby reducing system costs, including ordering costs and inventory handling. Costs and loss costs resulting from remaining products produced can be minimized by considering networks, multiple suppliers, multiple warehouses, Distribution Centers (DC), multiple retailers, and multiple products, factoring in the distances between facilities in the network. Subsequently, comprehensive testing of inspection, distribution, and retail parameters is conducted, with a focus on specific periods and product types. When applying this model, certain characteristics need to be considered regarding the importance of selecting efficient suppliers of goods, such as procurement, performance improvement, and the number of supply chains and supply chain systems. This research introduces novelty in production methods that can lead to increased customer satisfaction, sales, market share, profit margins, more effective brand advertising, and revenue streams. In this process, the research undergoes a training, testing, and validation process in forming a strategic multi-retail distribution network model, spanning a total of 52 epochs. This process yields accuracy values for training at 90 %, testing at 92 %, and validation at 94 %

Aspects Regarding of Oil Sludge Cleaning from Crude Storage Tanks Using Robots

One of the problems of the oil industry is the accumulation of sludge at the bottom of crude oil storage tanks. Oil sludge obtained from crude oil storage tanks is a semi-solid waste. It is actually a complex emulsion made up of numerous petroleum hydrocarbons, water and solid particles or mineral impurities from the rock. Oil sludge is generated during the storage of crude oil production, but also during the transportation, storage, and refining of crude oil. Through its nature - organic and inorganic, dark brown / black in color and semi-fluid physical state - it is a very dangerous waste, as it includes many poisonous substances, such as: polycyclic aromatic hydrocarbons, xylene, benzene, ethyl benzene, toluene, but also metals heavy. Therefore, oil sludge deposition is a dynamic, long-term, and ever-changing process. The authors, under the auspices of AOȘR and AGIR, present - through this scientific paper - a modern technology used for the successful cleaning of oil sludge from crude oil storage tanks and, obviously, it can be a recommendation for organizations in the oil industry.

On some methods of determining proper frequencies torsional oscillations in metal-working machines

Forced torsional vibrations that occur in machine tool drives are one of the pressing problems of modern machine tool industry. The reasons for these fluctuations may be imbalances of rotating masses, structural imperfections of bearing units, operating or technological process features (for metal-cutting machines – eccentric clamping of the workpiece, processing of non-round workpieces, etc.). In this work, using the example of a real metal-cutting machine, the task of dynamic analysis of the drive of the main movement of the machine with determination of the natural frequencies of torsional vibrations is realized. The real object is replaced by a dynamic model (DM). When constructing the DM, the inertial and rigidity characteristics are determined from the conditions: – the kinetic energy of the object is equivalent to the kinetic energy of the DM (from this condition the axial moments of inertia of the concentrated masses of the row model are obtained); – the potential energy of elastic deformations of the object is equivalent to the potential energy of deformation of the DM (from this condition the rigidity coefficients of the DM are obtained). The natural frequencies of the row DM were determined in three ways: 1) by solving the frequency equation (exact method) in combination with the method of reducing the number of masses of A.P. Cherevkov; 2) partial systems method (fundamental frequency only); 3) method of residuals (Tolle). The following conclusions were made: 1) the main (smaller) frequency can be found by any of the methods considered (since the results of the three methods coincided); 2) when simplifying the DM using the method of partial systems, the criterion for the possibility of further simplifications over the specified frequency range should be taken into account; the transition from a three-mass DM to a two-mass one if the criterion in this calculation was not met led to an error in determining the value of the fundamental frequency of about 10%; 3) dynamic calculations of machines using DM and methods for determining natural frequencies make it possible, based on known frequencies of disturbing forces, to identify possible near-resonant operating modes and avoid them in advance by making changes to the design of the machine at the design stage

Аналіз сучасного стану логістичної ефективності України

Agro-industrial complex (APK) belongs to the system-forming, strategically important industries. It ensures the country’s food security, makes a significant contribution to ensuring employment of the population, preserving socio-economic stability, and increasing export potential. In recent years, the development of the domestic agricultural industry has had positive dynamics. However, the industry faced many problems related to hostilities: destruction of infrastructure, congestion of alternative routes, difficulties with exports, etc. Military operations significantly affect all aspects of the logistics chain, including transport, storage, processing and export of products. It is noted that the domestic agro-industrial complex not only meets the domestic needs of the country, but also exports agricultural products abroad. Logistics plays a key role in export operations, and it is through effective management of logistics processes that companies can achieve better results in foreign economic activity. The hostilities greatly complicate export logistics by blocking seaports and disrupting rail routes, posing a threat to the country’s economic stability and food security in many countries. Although the volume of transportation remained significantly lower than the pre-war level, the positive dynamics of the indicators is maintained. The commodity structure of the export of agricultural products and indicators of the freight transportation index were analyzed. The value of the logistics efficiency index was considered and it was noted that there is a significant deterioration of the specified indicator for the country, which is why there is a need to analyze logistics processes, identify problems in the logistics industry and take measures to improve indicators. The main problems of logistics, which create serious challenges for business and the country’s economy, are highlighted. It was noted that the logistics of agricultural products in wartime conditions faces numerous challenges that require rapid adaptation and the search for new solutions. Restoration of logistics infrastructure is one of the key directions for ensuring Ukraine’s competitiveness on the global market. Keywords: logistics, agricultural products, export, costs, efficiency.

Inoculation of Zaopei with biofortification: Inducing variation in community structure and improving flavor compounds in Nongxiangxing baijiu.

The deterioration of the quality of raw liquor caused by the low content of ethyl hexanoate in Nongxiangxing baijiu has become a pervasive problem in the baijiu industry. Therefore, this study attempted to increase the synthesis of ethyl hexanoate by microorganisms with high esterase activity to increase Zaopei fermentation. The results showed that biofortification was a feasible and important way to improve the quality of the raw liquor and increase the ethyl hexanoate content. Adding Bacillus subtilis, Staphylococcus epidermidis, and Millerozyma farinosa for biofortified fermentation disturbed the microbial community structure of Zaopei and increased the abundance of Wickerhamomyces, Saccharomyces, and Thermoascus. The contents of ethyl hexanoate, ethyl valerate, ethyl caprylate, and ethyl heptanoate also increased noticeably in baijiu. The results of E-nose and sensory analysis tested and verified that the baijiu in the fortified group had better flavor characteristics.