Research Object Research Articles

The Influence of Bleed Position on the Stability Expansion Effect of Self-Circulating Casing Treatment

The self-circulating casing treatment can effectively expand the stable working range of the compressor, with little impact on its efficiency. With a single-stage transonic axial flow compressor NASA (National Aeronautics and Space Administration) Stage 35 as the research object, a multi-channel unsteady numerical calculation method was used here to design three types of self-circulating casing treatment structures: 20% Ca (axial chord length of the rotor blade tip), 60% Ca, and 178% Ca (at this time, the bleed position is at the stator channel casing) from the leading edge of the blade tip. The effects of these three bleed positions on the self-circulating stability expansion effect and compressor performance were studied separately. The calculation results indicate that the further the bleed position is from the leading edge of the blade tip, the weaker the expansion ability of the self-circulating casing treatment, and the greater the negative impact on the peak efficiency and design point efficiency of the compressor. This is because the air inlet of the self-circulating casing with an air intake position of 20% Ca is located directly above the core area of the rotor blade top blockage, which can more effectively extract low-energy fluid from the blockage area. Compared to the other two bleed positions, it has the greatest inhibitory effect on the leakage vortex in the rotor blade tip gap and has the strongest ability to improve the blockage at the rotor blade tip. Therefore, 20% Ca from the leading edge of the blade tip has the strongest stability expansion ability, achieving a stall margin improvement of 11.28%.

An analytical framework for the study of geographical places in the scientific literature

Scientometrics has traditionally examined place in terms of author affiliations and, as such, has tended to overlook the more detailed use of geographical data in scholarly publications to design indicators of the scientific literature. This study constructs a comprehensive framework to formalize and unify the Scientometrics analysis of places (Spatial Framework to identify Bibliographic Relationships or SFBR), constituting three main stages: identification, description, and measurement. We present five descriptive dimensions and a set of 57 core metrics for scrutinizing the place-related features of science. These metrics encompass author-, publication-, and place-level parameters, categorized according to the specific section (zone) containing the geographical information (i.e., citing author affiliation, the body of the text, and cited author affiliation). The SFBR serves as an innovative tool for unraveling the significance and influence of place in scientific literature. By considering place a fundamental element in Scientometrics studies, it extends the boundaries of spatial bibliometrics and provides a more holistic understanding of place as research object.

Features of the microbiome of burial soils

Introduction. On the territory of the Russian Federation, as well as worldwide, a large amount of space is allocated for burials. The soils found in the burial areas have their own characteristics. In the scientific literature there is a few works devoted to the problem of hygienic assessment of cemeteries from the point of view of their impact on the environment, as well as on the population living next to necrosols or working on them. Depending on the chemical and biological effects, the microbial composition of the soil changes. This process is influenced by many factors, including humidity, the initial content of organic and mineral substances, level of acidity, structure of the soil and peculiarities of the course of intra-soil gas-phase reactions. The key participants in the decomposition of organic material are bacteria and fungi, the diversity and dynamics of which directly depend on the degree of soil contamination with pollutants. The purpose of this study was to analyze the microbiota of cemetery soil in its various layers. Materials and methods. The cemeteries of Moscow (NikoloKhovanskoye, Nikolo-Arkhangelskoye, Perepechenskoye), Moscow (Mytishchenskoye, Domodedovo), Tula (Municipal Cemetery No. 1 of the Municipal State Enterprise of the Municipal Formation of the City of Tula Combine of Specialized Services), Kursk (old city cemetery Kurchatov), Krasnoyarsk (Zheleznogorsk) regions and Altai (Yarovoye) Krais were selected as research objects for assessing the microbiome of soils. Results. The most common bacterial pathogens were found to be Enterococcus spp. (81%), Bacillus spp. (75%) and E. coli (45.1%). Mushrooms of Penicillium spp.. were isolated from 61% of the samples. The revealed microbiota profiles of the samples of the studied cemetery soils reflect the microbial composition of humans, which allows substantiating the main methods and algorithm for identifying decomposition processes depending on the time frame of burials. Limitations. The limitation of the study is due to the risk of contact with cemetery soil was not assessed, since not all genera of isolated microorganisms could be identified by their biochemical properties. Conclusion. Studies conducted in cemetery areas have shown how diverse the soil microbiome is in burial sites and varies depending on the depth of sampling. The microbiota profiles of cemetery soil samples identified during the study reflect the lifetime microbial composition of the human body, which makes it possible to substantiate approaches to identifying decomposition processes depending on the time frame of burials.

Innovative Circular Biowaste Valorisation—State of the Art and Guidance for Cities and Regions

The management of the organic fraction of municipal solid waste (OFMSW), also called urban biowaste, and urban wastewater sludge (UWWS) represents a challenge for cities and regions, which want to adopt innovative urban bioeconomy approaches for their treatment and production of high-added-value products beyond the traditional anaerobic digestion (AD) and compost. This adoption is often restricted by the availability and maturity of technologies. The research object of this manuscript, based on the findings of EU Horizon 2020 project HOOP, is the identification of state-of-the-art circular technologies for material valorisation of OFMSW and UWWS, following a novel screening methodology based on the scale of implementation (tested at least at pilot scale). The screening resulted in 25 technologies, which have been compared and discussed under a multidisciplinary assessment approach, showing their enabling factors and challenges, their current or potential commercial status and their compatibility with the traditional technologies for urban biowaste treatment (composting and AD). The bioproducts cover market sectors such as agriculture, chemistry, nutrition, bioplastics, materials or cosmetics. Therefore, the results of this review help project promoters at city/region level to select innovative technologies for the conversion of OFMWS and UWWS into high value products.

Optimization of Operating Parameters for Straw Returning Machine Based on Vibration Characteristic Analysis

For the mechanized technical mode of total wheat straw returning to field, there are problems such as large vibration during the operation of the straw returning machine that, in turn, affect the effect of stubble breaking. This study took the Tongtian 1-JHY-220 straw returning machine as the research object to conduct field experiments, with wheat stubble height, forward velocity, and PTO speed as experimental parameters. And the vibration characteristics at different positions of the machine and the final stubble breaking rate were used as evaluation indicators. Combined with the orthogonal experiment and response surface analysis method, this article analyzes and discusses the influence of various parameters on vibration characteristics and operational effectiveness. The results show that PTO speed and wheat stubble height were the main factors affecting the vibration and operation quality of the straw returning machine. Low PTO speed and high stubble height can improve the stubble breaking rate of the straw returning machine and reduce its operation vibration. Furthermore, the multi-objective optimization results show that when the forward velocity in the range of 8.5–9 km/h, the PTO speed is 540 r/min, and the stubble height is in the range of 200–250 mm, the stubble breaking rate of the straw returning machine is greater than 86%. At this time, the total vibration of the straw returning machine and tractor rear axle is relatively small. This study can lay a foundation for further studying the impact of the vibration of the straw returning machine on the stubble breaking effect and provide a reference for the preparation of high-quality seedbed under conservation tillage.

Effect of Rare Earth Y on the Microstructure, Mechanical Properties and Friction of Sn-Babbitt Alloy

Babbitt alloy is a bearing material with excellent properties, including good anti-friction wear resistance, embeddedness, corrosion, and compliance, as well as sufficient bearing capacity. However, with the development of engines to have high speed and heavy load, the use of Babbitt alloy as a bearing material exposes its weaknesses of low bearing capacity, insufficient fatigue strength and a sharp decline in mechanical properties with an increase in working temperature. Therefore, its application scope is gradually narrowed and subject to certain limitations. Improving the tensile strength and wear resistance of tin-based Babbitt alloy is of great significance to expanding its application. In this study, tin-based Babbitt alloy was taken as the main research object; the particle size, microstructure, mechanical properties, and friction were systematically studied after the single addition of Y-Cu composite in tin-based Babbitt alloy liquid. The wear performance and the strengthening, toughening and wear mechanisms of tin-based Babbitt alloy were investigated under the action of Y in order to prepare a high-performance tin-based Babbitt alloy for bimetallic bearing. It was found that when rare-earth Y was added to the Babbitt alloy body, the wear properties were greatly improved.

A Country-Specific Analysis of CCN Pre-College IFP Business Chinese Scores

With the increasing international status of China, there are more and more Chinese language learners. China actively supports this trend and has implemented a series of policies to encourage foreigners to study in China. There are also many institutions that directly connect with Chinese universities to help more people study Chinese in China. This paper mainly studies the CCN pre-college education alliance’s business Chinese C pathway as the research object, and Chinese scores as the research theme, to analyze the country-specific Chinese scores of business students and analyze the results and propose improvement measures.

Analysis Of Current Situation, Risk Causes and Countermeasures of Real Estate Finance--Taking Jiangsu Province as An Example

The real estate industry is not only an important engine of economic growth, but also a cornerstone of social stability and personal life. As a major economic province in China, Jiangsu Province is rich in natural resources and has a strong economic base. It is an important demonstration area for China's modernization and comprehensive development and plays an important role in promoting China's economic growth, scientific and technological innovation and social progress. In the economic structure of Jiangsu Province, the real estate market occupies a pivotal position, which not only contributes greatly to the local financial income, but also has a far-reaching impact on employment, consumption, investment and other aspects. The development of the real estate market in Jiangsu Province has an important impact on the national real estate market, thus this paper takes Jiangsu Province as the research object, discusses the credit risk of the real estate industry in Jiangsu Province from the perspectives of its status quo, risk causes, etc., and then puts forward policy recommendations to promote the sustainable development of the real estate market in Jiangsu Province.

The Simulator of China General Nuclear Power Group (CGNPC) Delingha 50 MW Parabolic Trough Solar Thermal Power Plant

CGN Delingha 50MW parabolic trough solar power plant is China's first commercial trough solar power station. There are 190 heat collecting loops in the solar field of the power plant. Due to the mutual coupling of heat collecting loops layout location, environmental conditions, medium flow, working medium physical property changes and other factors, the hydrodynamic characteristics of the solar field are complex. In practical operation, balancing the flow of the heat absorbing medium in each loop of the large-scale trough solar thermal power plant and stabilizing the outlet medium temperature are difficult problems. Taking CGN Delingha 50MW parabolic trough solar power plant as the research object, this paper adopts the idea of modular modeling to establish the mathematical model of the main equipment in different systems of the power plant, to build the dynamic model of its solar field, steam generation system, heat storage system and steam turbine system. Based on the parallel computing function of the real-time dynamic simulation platform STAR-90, the real-time coupling calculation between different systems is realized. The error of the built model in steady-state is less than 2%, and the dynamic results of the model are in good agreement with the actual operation data. The modeling method in this paper is universal and can be a reference for dynamic modeling of other large-scale trough solar thermal power plants.

Distribution of flow characteristics and productivity evaluation of herringbone wells in bottom water reservoirs

Abstract With the characteristics of large drainage area and low drilling cost, the herringbone wells have become an important way to increase the well production, delay the coning and ridge of bottom water and improve the development effect. Due to the complexity of the herringbone wells flow characteristics, results that exists certain gap between the current production prediction and the actual production, so it is of great significance to study the flow and productivity of herringbone wells. In this paper, taking bottom-water reservoir as the research object, considering the interference between branch wellbore and perforations, analysis the flow characteristics and the productivity sensitivity factors of herringbone wells. The results show that the transient flow time in the reservoir is short, the closer to the wellbore, the greater the pressure changes. With the increases of the branches number, branches length and branch angle, the per unit length of the wellbore radial inflow decreases, and the decrease slows down after exceeding 3 branches. In the high anisotropy reservoirs, the phase angle has greater impact on the productivity of the herringbone well when the perforation density is low, at 180°, phase angle is best; when the perforation density exceeds 16 shots/m, the increase of productivity degree decreases. This study provides important guiding significance for the actual application in oil fields to optimizing the herringbone wells shape, rational production allocation, specifying reasonable work systems and enhance oil recovery in the bottom water reservoirs.

Application Analysis of Supply Chain Finance in Construction Industry -Take A Platform as an Example

With the development of globalization, competition between enterprises has increased, and supply chain management has become an important means for enterprises to gain competitive advantages. At present, the research on supply chain finance mainly focuses on risk management and effect analysis, and the research objects are concentrated on commercial banks and agricultural development, while the application of the construction industry is relatively small. This article uses case analysis and SWOT-PEST analysis method. Take A supply chain platform as an example to analyze the impact of the internal and external environment on the construction industry supply chain platform. Studies have found that many factors such as policy support, technological updates, economic fluctuations, and competition affect the development of the A platform. The development of the construction industry supply chain platform needs to grasp the direction of government strategy, fully understand user needs, seek technological innovation and establish a risk prevention mechanism.

Effects of Different Additives and Ratios on Broom Sorghum Straw Silage Characteristics and Bacterial Communities

As a large agricultural country, China produces a large number of agricultural and sideline products while harvesting agricultural products every year. Crop straw is one of them. Broom sorghum is a traditional crop in China, which produces a large amount of straw resources every year. These straw resources are placed in the field and cannot be used efficiently. The purpose of this study was to solve the problem of straw utilization of Broom sorghum, one of the main food crops in arid and semi-arid areas of northern China. Broom sorghum is not only a nutritious food crop, its straw is also rich in crude fiber and mineral elements, which has high utilization value. However, due to the high content of lignocellulose in straw, the texture is hard, which limits its digestion and utilization efficiency as feed. In this study, the broom sorghum straw was used as the research object, and the straw raw materials were treated with Lactobacillus plantarum, cellulase and xylanase, respectively. After silage fermentation for 30 d and 60 d, the bags were opened to determine the nutritional quality, fermentation quality, microbial community structure and other indicators. The best fermentation time and additives for broom sorghum straw silage were comprehensively screened to improve the nutritional value of straw and animal production performance. The results showed that the nutritional quality of silage straw increased with the extension of fermentation time. Compared with silage straw after 30 days of fermentation, the nutritional quality and fermentation quality of straw were significantly improved after 60 days of fermentation. Lactobacillus plantarum, cellulase and xylanase could improve the silage performance of broom sorghum straw by improving the microbial community structure in straw, and the effect of cellulase was the best. When cellulase was used in straw at the standard of 20 U/g FM, the content of water-soluble carbohydrates could be significantly increased to 31.35 g/kg FM, and the concentration of lactic acid was also significantly increased to 23.79 g/kg FM. Therefore, in actual production, it is recommended to use cellulase at a dose of 20 U/g FM in broom sorghum silage and open the bag after 60 days of silage fermentation. The results of this study provided a scientific basis for the efficient utilization of broom sorghum straw as feed.

Research on the Marketization and Globalization Development Model of Cultural and Creative Industries: Analysis Based on the Globalization Development of Musical Theatre

This paper discusses the marketization and globalization of cultural creative industry and takes China's musical industry as the research object. In recent years, with the vigorous development of the cultural market and the improvement of the audience's appreciation level, people pay more and more attention to the cultural creative industry. This article also analyzes the challenges facing the industry, including the lack of professional creative talent, standard scriptwriter and professional production team. It also explores the emergence of innovative modes of production, such as cross-border collaboration and audience-oriented creativity, which have contributed to the sector's progress. In addition, the paper discusses the impact of globalization on industry, and emphasizes the increasing importance of international product influx and copyright acquisition. Finally, this study aims to provide profound insights into the future trends and prospects of China's musical theatre industry and valuable recommendations for its sustainable and healthy development in the world.

Optimization Analysis of Brand Communication Strategies for Champion in the China Region

Champion is established in 1919; it is known for its high-quality athletic wear and also its durable and innovative sportswear. This thesis will take Champion as the research object to find how to make brands become more competitive in today’s market by researching its history, strategy and its status. In the 1930s Champion has introduced the iconic hooded sweatshirt. Champion also invented a technology called reverse weave which prevent clothes from shrinking. The brand has a huge fanbase among the young generation where it keeps collaborate with designers and influencers. This has helped champion expand its product range in both traditional athletic wear and the new trending fashion. Because Champions new innovation and design, it leads to more and more people trust and select this brand. Champion should continue to deepen its exploration and practice in the aspects of youth and digitalization. Through more accurate market positioning, personalized communication content and innovative interactive experiences, Champion is expected to further close the distance with young consumers and inspire their brand loyalty and desire to buy. At the same time, Champion should also focus on issues such as sustainability and social responsibility, and actively communicate positive energy and brand values.

Machine Learning-Based Prediction of Aircraft Taxi-In Time: A Case Study at Beijing Capital International Airport

Accurate prediction of flight taxi-in time has a significant meaning in allocating aircraft support resources reasonably and improving airport surface movement efficiency. It can effectively overcome the deficiency of extensive aircraft arrival time prediction in major airports currently. Taking Beijing Capital International Airport as the research object, we analyzed the influence factors of taxi-in time and constructed the feature set; Then we applied linear regression, K-nearest neighbor, support vector regression, decision tree, random forest and gradient boosting regression tree, which were widely used in the prediction of taxi-out time, to predict the taxi-in time. The results show that the prediction accuracy of the six machine learning models is over 90%within \pm3minutes, it means that the construction of feature set and the selection of models are effective; The gradient boosting regression tree model has the best performance based on the prediction results and model fitting evaluation results; The surface traffic flow features have the largest contribution to the prediction model, and the newly introduced cross-regional feature has more contribution to the prediction model than most traditional features, according to the prediction results of gradient boosting regression tree.

Seismic response study of multi-span continuous beam bridges near faults considering permanent displacement attenuation effects

The fling-step effect caused by near-fault ground motion induces a step-like permanent displacement of the ground surface, which decays sharply with increasing fault distance, leading to varying degrees of ground motion at each supporting point of the bridge structure. In this context, multi-span long-span bridges exhibit echelon displacement of the main beam and a more complex internal force response compared to ordinary bridges. To investigate the seismic response characteristics of multi-span long-span continuous girder bridges under near-fault ground motion, this study is based on the permanent displacement attenuation model. The main bridge of the Hongyazi Yellow River Bridge in Shizuishan City, consisting of 16 spans, is taken as the research object. Using OpenSees software, a finite element model for the dynamic analysis of the multi-span long-span continuous girder bridge was established, and its structural dynamic characteristics were compared with the natural vibration test of the actual bridge. Based on simulated ground motions that consider the permanent displacement attenuation effect and spatial variability, the seismic response of the key components of the near-fault multi-span long-span continuous beam bridge is examined. The results indicate that under near-fault ground motion considering the attenuation effect of permanent displacement, the main girder of multi-span long-span bridges frequently deviates from the axis in different directions, ultimately resulting in residual deformation of the main girder post-earthquake. The permanent displacement attenuation effect increases the maximum bending moment response at the pier bottom and causes uneven internal force distribution in the bridge. Ignoring this effect can lead to overestimation of bearing deformation.

Effect of Watering Gradient on Chlorophyll Fluorescence Parameters of Prunus domestica Trees

Mature 5-year-old Prunus domestica trees were used as research objects in plantation areas in arid and semi-arid regions of northern China in Hohhot city; three irrigation gradients and a natural control were set up according to the determination of wilting coefficient and field capacity, and FluorCam 1000-H chlorophyll fluorescence parameters of plant leaves were determined by using a portable chlorophyll fluorescence imager. The results showed that the effects of irrigation gradients on potential photochemical efficiency, maximum photochemical efficiency and non-photochemical burst were not significant (p > 0.05), and the effects on photochemical burst were significant (p < 0.05) at different fertility periods. The potential photochemical efficiency, maximum photochemical efficiency and photochemical burst basically showed a trend of increasing and then decreasing, and the non-photochemical burst showed a trend of decreasing and then increasing during different fertility periods. During the same fertility period, the potential and maximum photochemical efficiencies were significantly increased, and the photochemical and non-photochemical bursts were somewhat reduced under the full irrigation gradient. Therefore, the chlorophyll fluorescence characteristics of Prunus domestica trees at different fertility stages can be regulated by controlling the irrigation gradient to increase the activity of photosystem II (PSII), which in turn improves the photosynthesis of the plants.

Analisis Kinerja Anggaran Belanja Pada PTN BLU X Tahun Anggaran 2021-2023

In managing the budget, it is crucial to conduct budget performance measurement or analysis, which involves assessing and measuring the implementation or realization of the budget. This study presents an original analysis of PTN X, a State University with BLU (Public Service Agency) status under the Ministry of Education, Culture, Research, and Technology. The BLU status provides flexibility in budget management. Therefore, the purpose of this research is to analyze the budget performance of PTN X as a basis for evaluation to improve quality. In this study, the authors use a descriptive quantitative method, with the research object being the budget performance of PTN X from 2021 to 2023. The data analysis techniques employed include several expenditure analysis calculations, namely 1) Variance Analysis, 2) Growth Analysis, 3) Compatibility Analysis, and 4) Efficiency Analysis. The Financial Expenditure Performance of PTN X, as seen from the Variance Analysis, falls into the good category or Favourable Variance. From the Growth Analysis perspective, there was no expenditure growth observed in 2022; however, there was expenditure growth in 2023. The Compatibility Analysis revealed an imbalance between operational and capital expenditures in 2021. In contrast, in 2022 and 2023, the balance between operational and capital expenditures can be considered stable. From the Expenditure Efficiency Analysis, it was found that the budget management of PTN X was inefficient during the years 2021-2023.

The Influence of Job Training, Motivation, and Work Environment on Employee Performance at PT. Telekomunikasi Indonesia, Tbk Kediri City

This investigation intends to determine and anatomize the effect of job training, motivation, and work environment on employee performance at PT Telekomunikasi Indonesia, Tbk Kediri City. A key element in a company's success is employee performance. Job training, motivation, and a positive work environment are necessary for effective employee performance. Data gathering techniques include distributing questionnaires and performing direct talks with 50 permanent employees of PT. Telekomunikasi Indonesia, Tbk Kediri City. Analyzing data found that job training, motivation, and work environment affect employee performance at PT. Telekomunikasi Indonesia, Tbk Kediri City. This study has a noteworthy impact on job training, motivation, and work environment on employee performance. This research contributes science to human resources. The results can be applied to PT. Telekomunikasi Indonesia, Tbk Kediri City, to optimize job training, motivate employees, and improve a good work environment, so that it can affect employee performance and achieve company success. In further research, it’s hoped that they will research broader and different research objects. Thus, the results attained will benefit numerous parties.

Feature analysis of 5G traffic data based on visibility graph

IntroductionAs 5G networks become widespread and their application scenarios expand, massive amounts of traffic data are continuously generated. Properly analyzing this data is crucial for enhancing 5G services.MethodsThis paper uses the visibility graph method to convert 5G traffic data into a visibility graph network, conducting a feature analysis of the 5G traffic data. Using the AfreecaTV dataset as the research object, this paper constructs visibility networks at different scales and observes the evolution of degree distribution with varying data volumes. The paper employs the Hurst index to evaluate the 5G traffic network and uses community detection to study the networks converted from 5G traffic data of different applications.ResultsExperimental results reveal significant differences in node degree distribution and topological structures of 5G traffic data across different application scenarios, such as star structures and multiple subnetwork structures. It is found that the node degree distribution of 5G traffic networks exhibits heterogeneity, reflecting the uneven growth of node degrees during network expansion. The Hurst index analysis discovers that the 5G traffic network retains the long-term dependence and trends of the original data. Through community detection, it is observed that networks converted from 5G traffic data of different applications exhibit diverse community structures, such as high centrality nodes, star-like community structures, modularity, and multilayer characteristics.DiscussionThese findings indicate that 5G traffic networks in different application scenarios exhibit complex and diverse characteristics. The heterogeneity of node degree distribution and differences in topological structures reflect the imbalance in node connection methods during network expansion. The results of the Hurst index show that the 5G traffic network inherits the long-term dependence of the original data, providing a basis for analyzing the dynamic characteristics of the network. The diverse community structures reveal the inherent modularity and hierarchy of the network, which helps to understand the performance and optimization directions of 5G networks in different applications.