Comprehensive Analysis Method Research Articles

Modeling and Analysis of Flexible Deployable Structure with Scissor-Like Elements Using a Novel Non-Locking Beam Element

The main goal of this paper is to develop a comprehensive dynamic modeling and analysis method based on the absolute node coordinate method to predict the impact of the member flexibility on the dynamic performance of scissor deployable structure under the framework of flexible multi-body dynamics. In the process, three locking problems in the classical plane shear beam element are reviewed and discussed. Then a novel non-locking planar beam element is proposed to solve the element locking problem, and the dynamic model of the scissor deployable structure is established. Next, the cantilever beam, simply supported beam and flexible simple pendulum are respectively used to verify the correctness of the proposed non-locking beam element from the static and dynamic perspectives. Finally, the simulation and experiment results show that the proposed new non-locking element and normal matrix modeling method can effectively evaluate the dynamic performance of deployable structure and improve the computational efficiency. This study not only provides theoretical guidance for the dynamic behavior analysis and prediction of scissor deployable structure, but also offers reference for the layout and design of same type mechanisms.

Research on the Integration of TAM and TTF Models in CDSDL Model

With the advent of the information age, video-led interactive methods (Bouncer) have become popular. Due to the unique functions and outstanding performance of "danmaku" on the Internet, it has been quickly adopted by several major domestic mainstream media (Bilibili, Youku, Tencent, etc.). Chinese college students conduct self-directed learning on Chinese danmaku video sites. Call it "CDSDL". The CDSDL model combines the TAM model and the TTF model. This paper will analyze in detail how CDSDL integrates the TAM model and the TTF model through comprehensive analysis, literature reading and other research methods. The research conclusion is that the TAM model and the TTF model are suitable for the construction of the CDSDL model, which provides effective help for subsequent research on the influencing factors of the CDSDL model.

Identification Method of River Blocking by Debris Flow in the Middle Reaches of the Dadu River, Southwest of China

Debris flow is a typical natural disaster in the middle reaches of the Dadu River, which seriously threatens the safety of life and property of local residents. However, there is currently a lack of a comprehensive analysis methods applicable to the blockage of river channels by debris flow in the Dadu River basin, limiting disaster prevention and mitigation in this area. Based on previous large-scale model tests carried out in the middle reaches of the Dadu River, the debris flows are divided into dam-type debris flows and submerged debris flows. The calculation formulas for the maximum travel distance of the two kinds of debris flows entering the river are obtained via theoretical derivation. The formulas for calculating the length and volume of debris flow accumulation are derived, and the relationship between the debris flow loss coefficient and river blocking degree in the middle part of the Dadu River is analyzed. An identification method of river blocking by debris flow is put forward in this study. By calculating the maximum blocking degree, S (the ratio of the maximum driving distance of the debris flow to the width of the river), and the volume of the source materials needed to form a debris flow dam under the conditions that the debris flow does not reach the opposite bank (V1), reaches the opposite bank but does not block the river (V2), and reaches the opposite bank (V3), the form of debris flow blocking the river is distinguished. When S = 1, V > V3, complete blockage occurs; when S = 1, V > V2, the river is mostly blocked; when S < 1, V > V1, the river is half-blocked. This study established an identification method of river blocking by debris flow, providing a basis for early warning for river blocking and disaster prevention in the middle reaches of the Dadu River.

FLAC3D-based slope stability analysis and calculation

Slope stability is related to the normal operation of the project and operational safety, and there have been various methods for evaluating slope stability for a long time, among which the numerical analysis method is the most popular and comprehensive analysis and evaluation method nowadays. In this paper, the numerical simulation is carried out by FLAC3D software to solve the safety coefficient of the slope and the slope stability analysis in combination with the slope of the inverted siphon entry road section at the beginning of Xiaoyuiba, and the conclusions are in line with the actual situation, which shows that FLAC3D software can carry out scientific analysis and evaluation of slope stability and make comprehensive judgement.

Assessing the ecological impacts of polycyclic aromatic hydrocarbons petroleum pollutants using a network toxicity model

Polycyclic aromatic hydrocarbons (PAHs) are significant petroleum pollutants that have long-term impacts on human health and ecosystems. However, assessing their toxicity presents challenges due to factors such as cost, time, and the need for comprehensive multi-component analysis methods. In this study, we utilized network toxicity models, enrichment analysis, and molecular docking to analyze the toxicity mechanisms of PAHs at different levels: compounds, target genes, pathways, and species. Additionally, we used the maximum acceptable concentration (MAC) value and risk quotient (RQ) as an indicator for the potential ecological risk assessment of PAHs. The results showed that higher molecular weight PAHs had increased lipophilicity and higher toxicity. Benzo[a]pyrene and Fluoranthene were identified as core compounds, which increased the risk of cancer by affecting core target genes such as CCND1 in the human body, thereby influencing signal transduction and the immune system. In terms of biological species, PAHs had a greater toxic impact on aquatic organisms compared to terrestrial organisms. High molecular weight PAHs had lower effective concentrations on biological species, and the ecological risk was higher in the Yellow River Delta region. This research highlights the potential application of network toxicity models in understanding the toxicity mechanisms and species toxicity of PAHs and provides valuable insights for monitoring, prevention, and ecological risk assessment of these pollutants.

Protected area genocide in Ukraine: An aspect of genocide

As the preserved territories of Ukraine are highly vulnerable and unique, pollution of these areas due to military aggression can have extremely negative consequences not only for Ukraine but also for the entire world, particularly for the international economy. The aim of the article is to explore the phenomenon of the genocide of preserved territories associated with military aggression as a distinct form of genocide and the connection between the negative impact on the environment and adverse fluctuations in the national market. The study employs methods of comprehensive literature analysis and expert assessments, involving a comparison of legal and Ukrainian scientific approaches. The legislative approach to defining “genocide of preserved territories” is analysed, and a monitoring of statistical data on the level of negative impact on the territories and objects of Ukraine’s natural reserve fund is conducted. The method of scientific generalization and graphical representation is used to visualize the results of the research. For evaluating the secondary results of shelling on regions with a high level of protection, specifically preserved territories and objects, a quantitative literature review, including meta-analysis, is conducted. Calculations reflecting the extent of destruction from bombing are performed, allowing observation of the most damaged areas and assessing the needs for their restoration. Immediate consequences (first level) and hidden long-term economic consequences on the market oriented towards ecology after the war are identified. The concept of the genocide of preserved territories is introduced, which not only helps highlight the negative consequences and the extent of damage to these unique territories and objects but can also be used as a tool for legally highlighting the impact on the entire country from the level of damage to preserved territories and objects. This concept can contribute to determining the violated rights of preserved territories and encourage increased investment in this sector. Additionally, the research can assist in assessing the connection between the level of environmental destruction and the suitability of these regions for environmentally focused business projects

Comprehensive analysis method of acquiring wall heat fluxes in rotating detonation combustors

Accurate perception of the combustor thermal environment is crucial for thermal protection design of a rotating detonation combustor (RDC). In this study, a comprehensive analysis method is established to calculate the non-uniform heat flux distribution of the RDC by utilizing the measured temperature distribution of the combustor outer wall obtained by the high-speed infrared thermal imager. Firstly, a physical model based on the geometric characteristics of the RDC is constructed and its thermal conductive process is simulated, given by different heat flux boundary conditions. The analysis results indicate that the method used in current research for computing the heat flux of RDC leads to significant discrepancies, particularly in regions of obvious axial heat flux gradients near the top of the combustor. Then the Levenberg-Marquardt (L-M) method for inversely solving non-uniform heat flux is developed based on the two-dimensional heat conduction equation, and the wall heat fluxes are inversely calculated by the L-M method based on the above numerical data. Results show that the L-M method can obtain more accurate heat flux distribution even in the zones with large heat flux gradients, considering the axial heat conduction within the combustor outer wall caused by the non-uniform heat flux. Finally, the wall heat flux distribution is analyzed coupling the L-M method together with the experimental measurements in kerosene two-phase RDC. The analyses show that the wall heat flux exhibits non-uniform distributions both circumferentially and axially, with axial non-uniformity being particularly pronounced. The highest temperature of combustor outer surface and the highest wall heat flux occurs within the region of 20 mm from the combustor head, which corresponds to nearly 14 % of the combustor length. The heat flux peak and thermal heat rate are positively correlated with the combustor equivalence ratio in the range between 0.44 and 0.64. In this study, the distribution of wall temperature field in the two-phase RDC is obtained for the first time and the wall heat flux is calculated inversely by L-M method. This work provides a more accurate method for calculating heat flux in RDC and offers references for thermal protection designs in RDCs.

Leveraging synthetic lethality to uncover potential therapeutic target in gastric cancer.

Since trastuzumab was approved in 2012 for the first-line treatment of gastric cancer (GC), no significant advancement in GC targeted therapies has occurred. Synthetic lethality refers to the concept that simultaneous dysfunction of a pair of genes results in a lethal effect on cells, while the loss of an individual gene does not cause this effect. Through exploiting synthetic lethality, novel targeted therapies can be developed for the individualized treatment of GC. In this study, we proposed a computational strategy named Gastric cancer Specific Synthetic Lethality inference (GSSL) to identify synthetic lethal interactions in GC. GSSL analysis was used to infer probable synthetic lethality in GC using four accessible clinical datasets. In addition, prediction results were confirmed by experiments. GSSL analysis identified a total of 34 candidate synthetic lethal pairs, which included 33 unique targets. Among the synthetic lethal gene pairs, TP53-CHEK1 was selected for further experimental validation. Both computational and experimental results indicated that inhibiting CHEK1 could be a potential therapeutic strategy for GC patients with TP53 mutation. Meanwhile, in vitro experimental validation of two novel synthetic lethal pairs TP53-AURKB and ARID1A-EP300 further proved the universality and reliability of GSSL. Collectively, GSSL has been shown to be a reliable and feasible method for comprehensive analysis of inferring synthetic lethal interactions of GC, which may offer novel insight into the precision medicine and individualized treatment of GC.

Pilot study on high-resolution radiological methods for the analysis of cerebrospinal fluid (CSF) shunt valves

ObjectivesDespite their life-saving capabilities, cerebrospinal fluid (CSF) shunts exhibit high failure rates, with a large fraction of failures attributed to the regulating valve. Due to a lack of methods for the detailed analysis of valve malfunctions, failure mechanisms are not well understood, and valves often have to be surgically explanted on the mere suspicion of malfunction.The presented pilot study aims to demonstrate radiological methods for comprehensive analysis of CSF shunt valves, considering both the potential for failure analysis in design optimization, and for future clinical in-vivo application to reduce the number of required shunt revision surgeries. The proposed method could also be utilized to develop and support in situ repair methods (e.g. by lysis or ultrasound) of malfunctioning CSF shunt valves. Materials and methodsThe primary methods described are contrast-enhanced radiographic time series of CSF shunt valves, taken in a favorable projection geometry at low radiation dose, and the machine-learning-based diagnosis of CSF shunt valve obstructions. Complimentarily, we investigate CT-based methods capable of providing accurate ground truth for the training of such diagnostic tools. Using simulated test and training data, the performance of the machine-learning diagnostics in identifying and localizing obstructions within a shunt valve is evaluated regarding per-pixel sensitivity and specificity, the Dice similarity coefficient, and the false positive rate in the case of obstruction free test samples. ResultsContrast enhanced subtraction radiography allows high-resolution, time-resolved, low-dose analysis of fluid transport in CSF shunt valves. Complementarily, photon-counting micro-CT allows to investigate valve obstruction mechanisms in detail, and to generate valid ground truth for machine learning-based diagnostics.Machine-learning-based detection of valve obstructions in simulated radiographies shows promising results, with a per-pixel sensitivity >70%, per-pixel specificity >90%, a median Dice coefficient >0.8 and <10% false positives at a detection threshold of 0.5. ConclusionsThis ex-vivo study demonstrates obstruction detection in cerebro-spinal fluid shunt valves, combining radiological methods with machine learning under conditions compatible to future in-vivo application.Results indicate that high-resolution contrast-enhanced subtraction radiography, possibly including time-series data, combined with machine-learning image analysis, has the potential to strongly improve the diagnostics of CSF shunt valve failures. The presented method is in principle suitable for in-vivo application, considering both measurement geometry and radiological dose. Further research is needed to validate these results on real-world data and to refine the employed methods.In combination, the presented methods enable comprehensive analysis of valve failure mechanisms, paving the way for improved product development and clinical diagnostics of CSF shunt valves.

Effect of non-deformable and deformable bubbles on static yield stress of cement mortar

While extensive research has delved into the impact of single size distribution and volume fraction of bubbles on the static yield stress of cement mortar, this investigation pertains to previously underexplored variables. These encompass the ramifications of multi-size bubble distributions, variations in bubble geometries, disparities in air-liquid interfacial characteristics, and surfactant concentrations. In order to scrutinize these factors, bubbles exhibiting distinct volume fractions and size distributions were deliberately induced through the admixture of varying concentrations of nonionic surfactants, while maintaining a water-to-cement ratio (w/c) of 0.42 under controlled conditions at a temperature of 20 °C. Experimental testing involved the analysis of bubble deformation during the yield process of cement mortar, including a surface tension tester, micro-CT, and numerical simulations. Furthermore, the study investigated the influence of nonionic surfactants on the interaction forces between cement particles, employing comprehensive analysis methods such as a total organic carbon analyzer, Zeta potential measurements, and contact angle tests. The consolidated outcomes from experimental trials and numerical simulations substantiate that augmenting the concentration of nonionic surfactants does not amplify the interparticle interaction forces within cement particles. Rather, it solely leads to an escalation in the volume fraction of bubbles. During the cement mortar yielding process, bubbles exhibit two distinct states: deformable and non-deformable, characterized by the Bingham capillary number. Notably, the research reveals that the effect of increasing the volume fraction of non-deformable bubbles on the static yield stress is more significant than the impact of these bubbles on reducing maximum packing density. This effect is attributed to the increased number of contacts between particles. Additionally, the larger and flatter surface area of deformable bubbles promotes the orderly arrangement of cement particles, thereby reducing local shear dissipation. Consequently, an increase in the volume fraction of deformable bubbles and the Bingham capillary number contributes to a reduction in the static yield stress. In consideration of these discoveries, this study introduces a qualitative approach for characterizing the static yield stress of aerated cement mortar, leveraging the volume fractions of deformable and non-deformable bubbles, in conjunction with the maximum packing density and Bingham capillary number.

Ice-and-snow tourism in China: trends and influencing factors

Ice-and-snow tourism (IST) is central to the Chinese ice-and-snow economy and can help achieve the green transformation and expansion of the Chinese economy. However, IST has not been defined conclusively in China. In this study, the IST concept was analyzed, and the growth of both tourism types was described using an Event–Time–Space comprehensive analysis method. Two temporal phases with large increases were highlighted in both tourisms. The factors promoting their increases were analyzed from market demand, the Beijing 2022 Olympics Winter Games, and scientific and technological developments for ice and snow. The 2020–2021 decrease in IST was primarily attributed to the COVID-19 pandemic. In addition, IST has dual challenges related to natural and socioeconomic factors. Climate warming has a long-term adverse effect on IST, particularly on glacier tourism. Traditional outdoor skiing tourism in Northeast China (NEC) may also be affected by more competition owing to increased ski tourism in the pan-Beijing-Tianjin-Hebei region, the Xinjiang Uygur Autonomous Region (XJUAR) and Southern China, as well as by the development of indoor skiing and ice/snow entertainment. These natural and socioeconomic factors currently limit the ability of IST to promote socioeconomic development in alpine areas, particularly in western China. However, there are many opportunities for future IST growth, including warmed comfort climate at high altitudes in the NEC, XJUAR and the Qinghai-Tibet Plateau, major glacier resource potentials, and IST development driven by policies. The findings of this study provide important information for decision-makers and investors in IST and its related industries.

Quantitative evaluation on thermal seeing induced 2m ring solar telescope.

Thermal seeing is one of the factors that affect solar telescope observations. A comprehensive analysis method is developed to quantify the thermal seeing effects. A three-dimensional Large Eddy Simulation (LES) turbulence model is used to obtain the transient flow fields around the primary mirror, the secondary mirror and the heat-stop. The thermal seeing is calculated based on the stochastic dynamic influence of turbulence on the light rays. The key parameters of the simulation were calibrated by experiments, and the simulation results were validated by empirical formulas. This method has been applied to evaluate the thermal seeing of the 2m Ring Solar Telescope (2m-RST). Error allocation is performed based on the research results to ensure the Observation effect of 2m-RST.

Fidan: a predictive service demand model for assisting nursing home health-care robots

While population aging has sharply increased the demand for nursing staff, it has also increased the workload of nursing staff. Although some nursing homes use robots to perform part of the work, such robots are the type of robots that perform set tasks. The requirements in actual application scenarios often change, so robots that perform set tasks cannot effectively reduce the workload of nursing staff. In order to provide practical help to nursing staff in nursing homes, we innovatively combine the LightGBM algorithm with the machine learning interpretation framework SHAP (Shapley Additive exPlanations) and use comprehensive data analysis methods to propose a service demand prediction model Fidan (Forecast service demand model). This model analyzes and predicts the demand for elderly services in nursing homes based on relevant health management data (including physiological and sleep data), ward round data, and nursing service data collected by IoT devices. We optimise the model parameters based on Grid Search during the training process. The experimental results show that the Fidan model has an accuracy rate of 86.61% in predicting the demand for elderly services.

Đánh giá hiệu quả dự án đầu tư khu tái định cư &amp; nhà ở công nhân khu công nghiệp Trà Nóc, thành phố Cần Thơ

The objective of this research is to analyze the effectiveness of the investment project for resettlement and housing for workers in the Tra Noc Industrial Zone, Can Tho City. Secondary data collection methods are employed, utilizing project construction records and employing a comprehensive analysis method to compare and calculate various construction investment options to assess the project’s effectiveness. The project is evaluated as successfully achieving the goal of addressing the resettlement and housing needs of workers within the Tra Noc Industrial Zone. The research results have analyzed the standard criteria of the residential area project, ensuring both social and economic efficiency. Specifically, the project benefits from state budget funding support, resulting in a low cost of business investment. Furthermore, the project provides housing and living spaces for workers within the Tra Noc Industrial Zone, enabling them to work with peace of mind and contribute to the local economic and social development.

Influence of chemical activation on the ability of Transcarpathian clinoptilolite to adsorb direct dyes

Significant quantities of wastewater are generated in dyes synthesis processes and in technologies involving their use, which are toxic to living organisms, making the purification of industrial wastewater from organic colouring substances a pressing issue nowadays. The aim of this study was to investigate the prospects of using natural clinoptilolite from the Sokyrnytske deposit and its activated forms in the purification processes of wastewater from direct dyes. Natural clinoptilolite was activated by treatment with 5% H2SO4 and HCl aqueous solutions and heating at 300°C for two hours. The impact of activation conditions on the structural adsorption properties of clinoptilolite has been determined using a comprehensive thermal analysis method. The adsorption of the direct violet dye by natural and activated clinoptilolite has been investigated using spectrophotometric methods at pH 7 and a light wavelength of 550 nm, corresponding to the maximum value of light absorption coefficient. According to the results of thermal analysis, activated clinoptilolite samples exhibited a more developed specific surface area and a higher presence of hydroxyl groups, which can serve as active adsorption sites on the surface. The results of the violet dye adsorption have corresponded to the monomolecular Langmuir theory, indicating the energetic homogeneity of the adsorption centres. By linearizing the Langmuir adsorption isotherm equation, adsorption characteristics of natural and activated clinoptilolite with a 5% HCl aqueous solution relative to the direct violet dye have been determined. Activated clinoptilolite has shown increased sorption capacity (9.53 mmol/kg) compared to natural clinoptilolite (2.28 mmol/kg). The improvement in adsorption characteristics of activated clinoptilolite has been explained by its partial dealumination, resulting in the appearance of meso- and macropores capable of retaining dye molecules. The use of a 30% H2SO4 aqueous solution in activation processes and heating above 400°C has caused mineral degradation, confirmed by electron images of its surface. Practical value of the study lies in the recommendation to apply activated clinoptilolite in the purification processes of wastewater from organic pollutants

Research on the evaluation system of “vegetation-atmosphere-water” environmental coordination development under ecological management

As environmental issues on a global scale continue to worsen, all regions are pursuing ecological management and sustainable development strategies. The coordinated development of the “vegetation-air-water” environment is one of the most essential research topics in ecological governance. The purpose of this paper is to develop an evaluation system for the development of environmental governance in Shaanxi Province, as well as to evaluate the benefits of environmental governance in Shaanxi Province from 2012 to 2021 and its influencing factors. An index system for the coordinated development of “vegetation-atmosphere-water” is constructed, and the benefits and influencing factors of environmental governance are comprehensively analysed by using comprehensive analysis methods such as the coupled coordination model of the system and entropy weight TOPSIS. The results indicate that the development trend of the coupling coordination degree has evolved through the stages of “uncoordinated development at the early stage of governance, transformed development at the middle stage of governance, and coordinated development at the first success stage of governance.” In addition, we identify the obstacles to the coordinated development of the environment and suggest appropriate countermeasures. The efficacy of environmental policy governance provides recommendations for future enhancements. It is important to note that ecological governance is influenced by both policy and nature; political influences, such as the switch from “returning farmland to forests” to “returning forests to farmland,” will result in the destruction of the original good vegetation growth, which will significantly reduce the coordinated benefits of ecological governance. The original coordinated system will also be fractured, which is a problem worth contemplating. And policymakers, researchers, and practitioners can use the evaluation system and analysis method proposed in this paper as an effective tool to promote sustainable development and ecological governance.

Comprehensive performance evaluation and sensitivity analysis method of a cutter-changing robot for a large-diameter shield machine

Cutter-changing robot is a new product to automatically replace the cutter in shield machine, whose performance is affected by multiple criteria with diversity, multiplicity and correlation, which is a complex multiple criteria decision-making problem with limited and fuzzy available information. This paper proposes a comprehensive performance evaluation model including the performance indicator hierarchy, weight determination, measurement and assessment methods of indicators and sensitivity analysis. Fuzzy Analytical Hierarchy Process (FAHP) is applied to identify the construction requirements from external shield machine and environment and design characteristics in the whole cutter-changing process, weight for 3 first-level indicators and 14 s-level indicators are determined. The objective evaluation indexes measured by instrumentation and subjective evaluation indexes quantified by fuzzy logic are normalized within the range of 0–1. The scores and proportion of assessment grade for each indicator at each level are obtained through Fuzzy Comprehensive Evaluation (FCE). Furthermore, the sensitivity of weight and evaluation data on performance evaluation result are deeply analyzed. The applicability and validity of the proposed approach were demonstrated by a case study of a cutter-changing robot made by China Railway Construction Heavy Industry Co., Ltd. According to the result, operational capacity is the most important criteria in the first level, and cutter grasping ability is the most important indicator in the second level. Path planning ability is the weakest indicators. Cutter grasping ability and time of replacement are the most critical affecting factors. The proposed method not only helps the designers capture the weak indicators accurately and improve the design quality, but also provides engineers with a holistic perspective to the cutter-changing robot before actual application.

Feasibility Analysis of Compressed Air Energy Storage in Salt Caverns in the Yunying Area

With the widespread recognition of underground salt cavern compressed air storage at home and abroad, how to choose and evaluate salt cavern resources has become a key issue in the construction of gas storage. This paper discussed the condition of building power plants, the collection of regional data and salt plant data, and the analysis of stability and tightness. Comprehensive analysis and evaluation methods were put forward from four aspects, including ground comprehensive conditions, regional geological conditions and formation lithology, salt mine characteristics, stability, and tightness of salt caverns. The limit equilibrium theory was applied to establish the limit equilibrium failure mode of salt caverns under operating pressure, and the stability coefficient calculation method of the target salt cavern was determined by combining the mechanical characteristics. Based on the physical and mechanical properties of salt rocks, it was found that salt rocks with enough thickness around the salt cavity could be used as sealing rings to ensure the tightness of the salt cavern. Combined with the field water sealing test, the tightness of the target salt cavern is verified. This method has been applied to the salt cavern screening and evaluation of a 300 MW compressed air energy storage power plant project in Yingcheng, Hubei Province, and remarkable results have been obtained, indicating the rationality of the method.

Can Online Consumer Reviews Identify Key Evidence Regarding Common Consumer Choices for High-Tech Pet Products?

Online consumer reviews (OCRs) significantly influence consumer purchase decisions for new products. Therefore, today’s companies actively seek practical approaches for analyzing these OCRs. This study proposes a comprehensive method for OCR analysis using topic modeling and association rule analysis to overcome the current limitations in topic interpretation and topic overlap in text mining. Meanwhile, to examine the development of the high-tech industry and customer interest in the pet care field, this study synthesizes and analyzes reviews from consumers who are using healthcare products in the pet industry. To this end, we first collected 20,820 customer reviews from Amazon.com (accessed on 2 August 2023) for high-tech pet products and categorized them into three distinct product categories. Topic modeling was then conducted on each category, revealing five key topics per category. Subsequently, association rules analysis was performed on the customer reviews associated with the most representative topic. As a result, we were able to demonstrate that ‘satisfaction’ emerged as the most crucial topic across all three categories of high-tech pet products. Satisfaction is a topic expressing consumers’ attitudes after experiencing the product, and they used words to describe their feelings in the product reviews. A diverse range of associated terms was also identified that represented the essence of each product’s corresponding representative explanations. By leveraging these approaches, we are confident that pet product companies and market players will gain valuable insights into consumer preferences and behavior.

Linguocultural Aspects of PR Translation in the Modern World

The present study deals with the topical issue of professional public relations (PR) terminology translation into the Russian language. The discipline and the field of professional activity, which emerged in Russia in the late 1980s, still poses lots of problems in terms of translation. The aim of the study is to reveal what translation procedures are applicable in rendering subject specific terminology into the target language with the absence of equivalents in the professional field. The novelty lies in the disclosure of translation features as well as translation procedures applied to PR terminology with special attention to linguistic and extralinguistic factors. The methods of comprehensive analysis of English PR terms, comprising the general scientific method, the communicative method, the method of comparative analysis, the dictionary definitions method, as well as the method of translation adequacy and the method of analysis of translation procedures and transformations have allowed to reveal the peculiarities of PR terms’ meanings and their functioning in the English professional discourse to be rendered into the Russian language. The findings illustrate the most adequate procedures to be used for the purpose of rendering PR terms and terminology as units of specific meaning into the target language. The conclusion drawn from the study postulates that along with the borrowing of PR terminological field, the English cultural and conceptual worldview was also adopted to produce a hybrid professional worldview sharing similar PR subject specific language units, which is a great advance towards English as a global language.