bluuebunny/crossref_metadata_2025 huggingface dataset:
Traffic Flow Characteristics mining of Time Series Data Based on Phase Space Reconstruction Using Complex Networks
Authors: Zhongtai Jiang, Xiaoyu LI Xue Xing, Yaqi Zhai,
Published: August 2021

Traffic flow time series is vital for mining the traditional statistical characteristics by using the theory of statistics and machine learning when its identity is a special time series. The network analysis of the traffic flow time series, who uses the complex network of time series analysis method, is designed to inquire into the special law of traffic flow time series which uses its visualization characteristics. Through the network analysis of traffic data flow, the connotation of traffic data flow can be revealed, and the relationship between all data and some data can be further studied. Therefore, it is constructed by combination with the phase space reconstruction theory. The phase space trajectory may be squeezed and the structure of attractor may change. We need to use C-C method to estimate the time delay according to the characteristics of integral parameters, and use G-P algorithm to estimate the embedding dimension to avoid it. This study can effectively reveal the motion law of the system. After constructing the complex network of traffic flow time series with various traffic parameters, the degree distribution, clustering coefficient and modularization of the representative critical threshold corresponding network are statistically analysed. The analysis results show that the new networked structure of traffic flow time series proposed in this study has strong advantages, and its core is phase space reconstruction, which can well reflect the information space of traffic dynamic fluctuation. The time series networking method based on phase space reconstruction has become a new approach to inquire into the characteristics of traffic flow time series. The degree distribution of the actual multi-traffic parameter time series construction network satisfies the characteristics of a Gaussian distribution. Their average clustering coefficients have attenuation characteristics, and their modularization degree is obvious.
Online-Teaching Space Design Based on the Flow Theory
Authors: Na Su Dake Qian, Hailin Su,
Published: August 2021

The development of educational information technology makes the construction and application of online teaching space more and more common. As a field and assistant system, the essential requirement of online-teaching space is to ensure that learners can continuously engage in learning. The goal of the application of flow theory in teaching is to stimulate learners' flow experience, so as to improve the learning effect and achieve the learning goal. Starting from the design of online teaching based on flow theory, this paper puts forward the design requirements and principles of its teaching links, including the analysis of individual chemical situation, hierarchical and classified teaching objectives and tasks, multi scene teaching links and teaching improvement, and then puts forward the corresponding online teaching space framework. This paper argues that online teaching space should be composed of intelligent guidance system, teaching support system, situational intervention system and flow support system. Under such conditions, teaching space is more conducive to the implementation of online instructional design based on flow theory, and can help space constructors and participants achieve continuous improvement of teaching effect.
Sustainable Urban Facilities Design Based on Emotional Narratives
Authors: Yan Zhao Wenkai Xue, Xiuli Ge,
Published: August 2021

Emotional narration can provide innovative ideas for sustainable urban facilities. The design of sustainable urban facilities starts from the concept of emotional design, focuses on improving the user’s experience, implements innovative design process, extends the product life cycle, utilizes new sustainable materials, combines emotional factors with product functions, and gets more citizens participate in the design process. The research result shows that the gradual emotional narration thinking change from a single dimension to multiple dimensions can promote the design innovation, upgrades service of urban public facilities, and enhances the connection between users and urban facilities. It can be seen that a series of sustainable urban facilities designed based on emotional narration can serve as effective carriers for communication between urban residents and the city. Sustainable urban facilities with humanistic care are dedicated to making urban residents realize they cannot only enjoy the urban facilities, but also participate in the creation of better social environment
Research on Low Carbon Planning Method of Resource Based City Based on Coupling of City Region and Central City -- A Case Study of Xingtai City
Authors: Fangqin Zhao Qinghua Liao, Shengbin Liu,
Published: August 2021

Resource-based cities generally have "high energy consumption, high carbon emissions, and high pollution". Exploring low-carbon planning of resource-based cities means great significance for promoting the low-carbon transformation and development of resource-based cities and achieving "carbon peak" and "carbon neutrality". Based on the two levels of city region and central city, the paper proposes a low-carbon planning method for resource-based cities from four aspects: industrial transformation, land use, road transportation and ecological environment. At the city region level, it is necessary to reasonably determine urban industrial structure and industrial development scale, and meanwhile, optimize the industrial layout by reasonably planning production, living and ecological space and formulating practical space control measures; coordinating the connection between external traffic and traffic system within the city; constructing a carbon sink network composed of green patches-ecological corridors-peripheral matrix. At the central city level, it is necessary to analyze gradient attributes of carbon emissions from different land types, rationally arrange various types of construction land; optimize the layout of urban residence and employment space; increase systematicness of road planning in central urban areas; give full play to the carbon sink role of ecological corridors. Finally, an empirical study is carried out with the case of Xingtai City. The research can provide theoretical basis and path reference for reducing carbon emissions of resource-based cities through spatial planning.
A Study on the Implementation of U-G-S Collaborative Training Mode for Outstanding Teachers in Local Colleges and Universities
Authors: Lanyan Qin Linzi Qin†, Naizhu Huang†,
Published: August 2021

To train Excellent teachers, local universities should abandon the "university-led" training model, actively connect local governments and primary and secondary schools, and build a "three-in-one" collaborative training model for local universities (U), local governments (G), and primary and secondary schools (S). The U-G-S co-cultivation mode operates mainly with the following countermeasures: Local universities and local education administrative departments sign a strategic framework cooperation agreement, and carry out all-round cooperation around the cultivation of excellent teacher in the teacher profession; Local universities and local education administrative departments cooperate to build a basic education research institution, and promote the deep integration of theory and practice around the subject research; Local universities and primary and secondary schools cooperate to build Industry-University- Research collaborative platform and construct a whole-course practical teaching system, which include  teaching observation, teacher's moral experience, teaching and research practice, case teaching, subject discussion, and inquiry reflection to improve the quality of training talents in normal education; Local universities cooperate and primary and secondary schools cooperate to build a famous teacher studio, fully using the role of famous teachers in the cultivation of Excellent teacher.
A Study on the Spatial Characteristics of Jiarong Tibetan Settlements Based on the Theory of Pattern Language
Authors: Junhuan Li Yaolong Zhang,
Published: August 2021

This article selects three typical Jiarong Tibetan traditional settlements as the research objects, using the technical means of on-site surveying, mapping and drone photography to conduct field trips to the three settlements, and use this as a research basis to analyze the spatial layout characteristics of traditional Jiarong Tibetan villages in the region, and summarize their pattern language. The study found: 1)Although differences in geographic environment lead to slightly different types of pattern language in the same Tibetan village, but they are also similar to each other. 2)The Jiarong Tibetan traditional settlement has always adhered to the basic concept of "follow nature and adapt to local conditions" to develop in an orderly manner, conform to the terrain, and often present a spatial sequence of "religious space-connecting space-living space". 3)Jiarong Tibetan traditional settlements are characterized by a religious building as the core, and the surrounding buildings are distributed in a centripetal manner. 4)Jiarong Tibetan traditional settlements always follow the grammatical principles of locality and order in their development and expansion, the design and layout of spatial elements are mostly guided by traditional geomantic and religious views.5)The spatial layout schematic language system of Tibetan traditional settlements has a positive effect on the inheritance and protection of the same type of villages. The spatial universality of vocabulary, syntax and grammar is conducive to the effective protection and sustainable development of traditional Tibetan village landscapes.
How Venture Capital Influences High-tech Enterprises’ IPO: External Factors versus Internal Growth
Authors: Yu Wang Hui Wu,
Published: August 2021

There is huge potential for China to transform and upgrade its traditional manufacturing sector, and high-tech enterprises in manufacturing industries stand out. This study contributes to the literature on how venture capital affects technology-based Enterprises’ IPO by evaluating the characters between the two parties.  According to the symmetric information theory, certification theory and enterprise property rights theory, the first round of risk financing enterprises from 2010 to 2019 is taken as a research sample to empirically analyze the impact of venture capital and corporate growth on firm listing events. The results show that the investment experience of venture capital institutions, when matched appropriately to firms’ specific growth, will facilitate and accelerate the IPO process. Thus the matching degree between the two are significantly positively related to the company's IPO. Under the premise of low growth of the company, venture capital has a significant impact on the listing of the company. As the growth of the company increases, the impact of venture capital on the listing of the company is gradually reduced. Venture capital institutions with overseas backgrounds are more inclined to promote the IPO of invested international companies. Finally, we discuss the implications based on the results of the empirical analysis, and make suggestions for venture capital institutions and companies.
Application Research on the Construction of International Talent Quality Evaluation System based on Industrial Multi-Objective Allocation AHP Hierarchical Analysis Method
Authors: Et al. Cong Qiao,
Published: August 2021

At present, the state vigorously promotes open education, encourages higher vocational institutions to attract foreign high-quality educational resources, improves the level of international education, and cultivates high-quality, highly skilled talents with international vision, knowledge of international rules, and international competitiveness, while meeting the needs of actual social and economic development. How to cultivate internationalized technical and skilled talents and improve the quality of talent cultivation has become a new issue facing the development of vocational education in China. This article adopts the AHP hierarchical analysis method, which is widely used in industrial power distribution, regional economic planning, livestock development strategy, industrial sector setting and can realize the study of multi-level target problems, constructs an evaluation system consisting of 4 primary indicators and 15 secondary indicators, evaluates the quantitative and qualitative analysis of talent training quality, gives suggestions to improve the quality of internationalized talent training, and provides suggestions for higher vocational.
Visual Analysis of Research on Precise Funding Fine Chemical in Universities Based on Knowledge Mapping
Authors: Xiaolan Wang, Wenhao Ying Qing Xu,
Published: August 2021

The article utilizes Citespace software to analyze the existing research literature, uses the method of word frequency analysis to conduct content mining and data processing on the journal literature in the field of precision funding fine chemical industryresearch in colleges and universities, and analyzes the history and research of the precision funding of colleges and universities for students with financial difficulties in recent years. The current situation is expected to provide reference and reference for follow-up researchers, and to provide ideas and suggestions for practically improving the level of university funding.
Lossless Watermarking Algorithm Based on Multiple-Base Notational System and Pixel Difference
Authors: Jiatao Kang, Zaihui Cao Huan Song,
Published: August 2021

In order to identify the authenticity of the industrial packaging, the solution to the current watermark technology is mainly to embed the same watermark capacity into each pixel value in the image, so that the watermark capacity is small, and the anti-distortion performance is not good. Data watermarking algorithm based on system and pixel difference. First divide the carrier image into non-overlapping sub-blocks, and calculate the pixel difference of each sub-block; introduce a hybrid system to obtain different bases. According to the pixel difference, the base selection rule is defined; considering the human visual characteristics, the pixel interval adaptive adjustment mechanism is designed to improve the coding technology and complete the watermark information embedding; finally, the watermark information extraction mechanism is established to restore the watermark. The experimental results show that compared with the current data watermarking algorithm, the proposed algorithm has ideal imperceptibility, as well as larger watermark capacity and lower distortion.
The Development Trend of the Manufacturing Industry and the "One Belt And One Road" Model Research from the Historical Perspective
Authors: Xiang Danting
Published: August 2021

As the United States subprime mortgage crisis triggered by the global economic crisis, in the face of the plight of world economic recovery is weak, in order to seek better way out of this dilemma, this article emphatically from the world market on the history of the development of vertical comb, to conduct a comprehensive in-depth theory to the essence of the manufacturing industry movement rule and its development trend. Through the integrated use of literature research, exploratory study, information research methods and scientific thinking method, inductive deductive system science method, and analogical reasoning, abstract generalization analysis of a series of existing theory of manufacturing industry substance and on the basis of comprehensive study to clarify the essence of the manufacturing industry movement rule and its development trend. Therefore, against the background of sluggish world economic recovery, we must start a new engine of world economic development under the original engine of world economic development. "One Belt And One Road" reflects and complies with the historical trend of economic globalization.
The Impact of Cross-Shareholding Networks on Financing Constraints --Empirical Data from Manufacturing Companies
Authors: Hua Li, Qiubai Sun Qing Xia,
Published: August 2021

As the financial markets have evolved, the cross-shareholding networks have been formed among Chinese enterprises with equity as the concluded relationship. Exploring the impact of the cross-shareholding networks on financing constraints has important implications for the decisions of manufacturing companies. This paper uses the social network method to characterize the cross-shareholding networks of manufacturing companies from 2007 to 2019 and explores the effects of the cross-shareholding networks on financing constraints. The innovation of this paper is to explore the relationship between the two. It is concluded that the centrality or structural holes richness of manufacturing companies in the cross-shareholding network is inversely related to the financing constraint. The higher the centrality or the richer the number of structural holes, the lower the level of financing constraints.
A Case Study of the Diachronic Development of Second Language Grammatical Competence Based on Computer-mediated Negotiated Interaction
Authors: Jiang Liping
Published: August 2021

The emergence of computer-mediated real-time communication platform provides second language learners with the opportunity to communicate with the target language through the network. This empirical study is based on the English text-based data of online store learners in four periods of real-time online communication platform to explore the grammatical development of interlanguage of middle-level English learners in computer-mediated real-time interactive negotiation. Corpus analysis shows that learners' accuracy of L2 grammatical forms has been improved, with obvious changes in the first and second periods, but no significant changes in their grammatical competence in the later periods. The frequency of using compound sentences is low, and it shows a downward trend in the later stages. The research shows that computer-mediated real-time communication promotes learners' second language acquisition to a certain extent, but the communicative context and purpose affect its further improvement of interlanguage grammar.
Research on the Impact of Third-Party Certification on Green Bond Spread of the Green Industry－Considering the Effect of the Nature of Property Rights
Authors: Xuehua Zhang, Baoan Zhang Yue Hu,
Published: August 2021

Capital is the most basic element of production organization, and green bonds are important financing sources for the green industry. Financingcosts directly affect the steady development of the green industry. In order to verify whether third-party certification can reduce the financing cost of green bonds and whether the nature of property rights has an impact on the reduction, 285 green bonds issued from 2016 to 2019 are taken as samples, and then a hierarchical multiple statistical regression analysis method is adopted to conduct a quantitative study. The results show that third-party certification, as a unique credit enhancement method for green bonds, can significantly reduce green bond spreads. In addition, it isgreater that the effect on non-state-owned enterprises’ green bonds is. Since bond spread isamain part of financing costs, the above means that third-party certification can reduce the financing costs of green bonds, especiallyfor non-state-owned enterprises. In this regard, starting from reducing the cost of green bonds, the paper proposes to improve the green bond evaluation and certification standards as soon as possible, non-state-owned enterprises particularly should actively carry out third-party certification, and the government needs to further increase the implementation of third-party certification as well as strengthen multi-party cooperation.
Internal Logic and Implementation Ways of Industry-Education Integration
Authors: Liao Hongbing
Published: August 2021

With the popularization of higher education and the optimization of industrial structure, there is an increasing demand for applied talents during the development of the society. The integration of industry and education, as an effective way to cultivate applied talents through college-enterprise cooperation, organically integrates higher education with industries and promotes the comprehensive combination of both structural elements on the supply side of talents and the demand side of industries, which is a new mode for running colleges and universities. The industry-education integration and the college-enterprise cooperation, however, still have problems currently,  including insufficient consensus on the concepts, unsound system, inadequate motivation, scant resources and poor system supply. This paper holds that to deepen the industry-education integration, both educational organizations and industries should intercommunicate and integrate with each other, which require the enhancement of the consensus on college-enterprise cooperation, the co-construction of systems, resource sharing, cultural symbiosis, talent integration, win-win benefits and the like, in order to achieve the healthy development of the college-enterprise cooperation.
Exploration of "1 + X" Talent Training Mode in Higher Vocational Colleges for “Intelligent Manufacturing in the New Era”
Authors: Hua Meng, Yuan Ren Yi Huang,
Published: August 2021

In the post epidemic era, restarting the economic and social development of all countries is to give full play to the comprehensive leading role of "talents". Nowadays, there is a shortage of the technical and skilled talents in our country has reached 20 million. It is urgent to alleviate the structural contradiction of technical and skilled talents and improve the quality of technical and skilled talents training according to the standard industry, industry and occupation standards. In order to improve the training quality of skilled talents and adapt to the development requirements of "intelligent manufacturing in the new era", based on literature analysis and experience observation, this paper deeply interprets the connotation of "1 + X" vocational skill level system, analyzes the pain points of traditional vocational education talent training mode, and creatively puts forward the 1 + X talent training mode in higher vocational colleges. Besides it elaborates the establishment of the curriculum system training room, the cultivation of teachers, the evaluation of students' learning achievements, etc.
Care Effectiveness and Standards of Dementia Special Care Units for Older Adults with Dementiain Pension Industry
Authors: Et al. Xiaoxin Dong,
Published: August 2021

Dementia special care units (D-SCUs) is increasingly becoming the main mode of care for older adults internationally. As little is known about D-SCUs in China, this study aimed to analyze care efficiency and summarize the standards of Chinese D-SCUs.A questionnaire survey and in-depth interviews were conducted between June 2018 and July 2019 in six cities in China. Quantitative data about basic information and care satisfaction were collected from 25 care facilities. Qualitative data about the standards of the D-SCUs were collected fromthree cities that had issued such standards. Data envelopment analysis (DEA) was used to evaluate the care efficiency of D-SCUs, and grounded theory was used to analyze qualitative data.Among the 25 surveyed facilities, 12 had established D-SCUs, of which eight(66.67%) were effective facilities. Thirteen facilities did not establish D-SCUs, of which two(15.38%) were effective facilities.Technical efficiency, pure technical efficiency, and scale efficiency of care facilities with D-SCUs were higher than those of without (P=0.016, P=0.022, and P=0.021, respectively). Standards regarding location, environment, beds, and service items varied among the three cities that had issued standards for D-SCUs.The D-SCU care mode is effective and professional, and can be further promoted in the development of pension industry in China. Further investigation into D-SCUs and related standard is needed.
Comparative Study between Type I and Type II Fuzzy Controller for Semi Active Suspension System
Authors: Et al. H. Lammari,
Published: August 2021

In this article, a type-2 fuzzy interval controller is proposed to solve the nonlinear control problems of semi-active suspension system. A suspension model with two degrees of freedom and A fuzzy approach for controller synthesis were proposed. The performance of the IT2FLC-based semi-active vehicle suspension system in terms of sprung mass displacement, suspension deflection and tire deflection are compared to the homologous fuzzy type-1 controller (T1FLC), and to the passive suspension system conventional using MATLAB / SIMULINK software for simulation and controller design. The vehicle parameters, called suspension deflection and speed of suspended mass are given as inputs for both controllers. The Csemi control signal is the variable damping coefficient. Inputs and outputs are presented by triangular membership functions. Mamdani inference system is used, along with a Karnik-Mendel algorithm to locate the center of gravity in reduction type for IT2FLC controller. Simulation results show that IT2FLC-based semi-active suspension system outperforms T1FLC and passive suspension system. Thus, they show a major improvement in control signal i.e. IT2FLC controller generates a lower damping coefficient than T1FLC controller. In addition, a remarkable reduction in signal energy by IT2FLC compared to same semi-active suspension system with T1FLC.
Enterprise Commodity Marketing Innovation Based on Big Data Mining Technology
Authors: Jun Feng
Published: August 2021

The advent of the era of big data has brought many opportunities and challenges to the marketing of enterprises. Enterprises should develop marketing channels according to the requirements of the market. At the same time, enterprises further mine valuable data information, so as to improve customer satisfaction for enterprise products. This paper analyzes the opportunities and challenges brought by the era of big data to the marketing market of enterprises, and explores how to innovate the marketing strategies of enterprises. This paper describes the background of the current data mining and the main data mining technology in this field. Then, it focuses on the association rule algorithm which is widely used in knowledge data mining technology and its application in marketing strategy.
Quantitative Analysis Method of College English Curriculum Based on Blended Teaching
Authors: Gefei Dong Liang Cao,
Published: August 2021

The development of industry is inseparable from the improvement of technical personnel's English level. Nowadays, College English classroom is inefficient. Various experts and scholars start from changing the teaching content, teaching methods and teachers' position in the classroom to solve the practical problems. No matter what aspect of the reform has promoted the further development of College English teaching, but it has not completely solved the practical problems in College English classroom. This paper proposes a quantitative teaching model of College English classroom performance to stimulate students' enthusiasm. Through the combination of qualitative analysis and quantitative analysis, this paper analyzes the teaching practice results of College English curriculum integration. The research shows that the integration of College English curriculum and multi teaching education can effectively improve students' English literacy. In the current environment, it is an effective way for colleges and universities to carry out media literacy education. The study also reflects the low level of students' English literacy, which needs to be paid attention to.
Innovative Development Model of College Students' Education under We Media Based on Big Data
Authors: Fan Zhang
Published: August 2021

Innovative development of College students' education is the endogenous driving force of manufacturing development.In recent years, with the rapid development of we media technology represented by microblog and wechat, we media has become the most active main platform of network communication. In the irresistible development trend of we media, the education of college students is facing opportunities and challenges. This paper studies the innovative development model of College Students' Education under we media based on big data. This paper analyzes the characteristics of we media environment, such as the nodalization of communication subject, the interaction of communication mode, and the fragmentation of communication content. At the same time, this paper analyzes the connotation of the concept of College Students' education innovation, the concept of College Students' Ideological and political education innovation under the environment of we media, and its basic characteristics, such as the equality of education concept, the interaction of education methods, the life of education content and the era of education carrier. At the same time, it also discusses the significance of students' educational innovation in the environment of we media. The experimental data show that the new method can build a new education mode, so as to actively and effectively carry out the education and guidance of college students.
Logistics Informatization of Industrial Enterprises Based on Big Data and Its Application in Industrial Supply Chain Management
Authors: Wang Ke
Published: August 2021

In the current digital information age, logistics is no longer the isolated transportation and storage of enterprises, nor is it the appendage of enterprise production and sales. This paper studies the logistics informatization of industrial enterprises and its application in industrial supply chain management under the background of big data. By analyzing the formation mechanism and covering modules of logistics informatization, this paper constructs the evaluation index system of logistics enterprise informatization. Based on the fuzzy evaluation method and the specific data of logistics information modernization of Chinese enterprises, this paper gives an application example of the evaluation model. Finally, this paper puts forward a reasonable analysis of the information construction of China's logistics enterprises in the future. The results show that this method can improve the efficiency of logistics informatization and supply chain management of industrial enterprises, and has certain reference significance for the research of logistics intelligence of industrial enterprises.
Prevalence of Hypertension and Its Influencing Factors among Residents Aged 15-79 in Anyang City
Authors: Et al. Zhu Xiumin,
Published: August 2021

Objective To understand the prevalence and influencing factors of hypertension among residents aged 15-79 years old in Anyang City, and to provide scientific basis for formulating intervention measures.Methods from October to November 2017, 6397 residents aged 15-79 years in Anyang City were selected by multistage stratified sampling method for questionnaire survey and physical examination.Results the prevalence rate of hypertension was 28.24%, and the standardized rate was 28.38%;Compared with different gender, age, education level, marital status, occupation, BMI, whether central obesity, daily salt intake, smoking, drinking, sleep and other factors, there were statistically significant differences in the prevalence of hypertension (all P < 0.001), which increased with age and decreased with education level;The controllable risk factors of hypertension were overweight, central obesity, smoking, drinking, daily salt intake, sleep time, etc. the protective factors were college education level or above, knowing and answering correctly daily salt intake and standard sleep.Conclusion the prevalence rate of hypertension in Anyang residents aged 15-79 is high. Strengthening policy control, adopting the strategy of "whole population" and "high-risk population" to carry out health education and health promotion of hypertension prevention and control can effectively reduce the risk of hypertension and improve the compliance of standardized treatment and management of hypertension patients.
Research on the Innovation of College English Reading Education based on the Analysis of Language and Cultural Differences
Authors: Jie Feng
Published: August 2021

With the development of global economy, communication based on linguistic and cultural differences has become a part of people's daily life. instruction English reading based on linguistic and cultural differences is an important way to cultivate high-level and international English professionals. In the process of implementing English reading instruction based on linguistic and cultural differences, we should eliminate the prejudices in terms of traditional thinking and cultural views, continuously improve teachers' instruction ability, and reasonably select instruction materials. Moreover, we should design instruction tasks according to students' receptive abilities, and promote high-quality development of reading instruction based on linguistic and cultural differences through exploratory, open and discursive instruction practices.
ANN-inspired Straggler Map Reduce Detection in Big Data Processing
Authors: Manmohan Sharma, Ashu Gupta Ajay Bansal,
Published: August 2021

One of the most challenging aspects of using MapReduce to parallelize and distribute large-scale data processingis detecting straggler tasks. Identifying ongoing tasks on weak nodes is how it’s described. The total computation time isthe sum of the execution times of the two stages in the Map process (copy, combine) and the three stages in the Reducephase (shuffle, sort, and reduce). The main aim of this paper is to estimate the accurate execution time in each location. Theproposed approach uses a backpropagation neural network on Hadoop to detect straggler tasks and calculate the remainingtask execution time, which is crucial in straggler task identification. The comparative analysis is done with some efficientmodels in this domain, such as LATE, ESAMR, and the real remaining time for WordCount and Sort benchmarks. It wasfound that the proposed model is capable of detecting straggler tasks in accurately estimating execution time. It also helpsin reducing the execution time that it takes to complete a task.
Experimental Study on Mechanical Properties and Structural Characteristics of Modified Sludge in Foundation Pit
Authors: Et al. Shuren Wang,
Published: August 2021

To explore the efficient method of sludge modification, Ultra-fine Portland cement (UPC) was introduced as a sludge modifier regarding Ordinary Portland Cement (OPC) modified sludge as a reference. The mechanical properties and microstructural changes of UPC-modified sludge with different curing time and cement content were carried out by unconfined compressive strength (UCS), X-ray diffraction (XRD), mercury intrusion porosimetry (MIP), and scanning electron microscopy (SEM) tests. Results show that the UCS of UPC-modified sludge varies with curing time and cement content in the same way as that of OPC-modified sludge. However, compared with OPC-modified sludge, UPC has a higher sludge modification efficiency, and the UPC-modified sludge has greater compressive strength, significantly early-strength, and stronger resistance to deformation. The stress-strain curves of UPC-modified sludge present significant peak stresses, and which show a brittle failure mode. The combination of the hydration products calcium silicate hydrate (C-S-H) gels and ettringite (Aft) crystals are the essential reason for the improvement of the macroscopic strength of the modified sludge. In contrast to OPC, the UPC hydrates faster and more fully. The UPC-modified sludge can generate more hydration products under the same conditions, this is why that has high efficiency and early-strength. The conclusions obtained in this study can provide a reference for the similar engineering application of ultra-fine cement in modified sludge.
Research on the Formation, Breakthrough and Countermeasures of the Captive Governance Mode of China’s Sporting Goods Original Equipment Manufacturer (OEM) Companies
Authors: Yuhui Shao Yijun Bai,
Published: August 2021

The integration of China’s sporting goods industry into the global value chain (GVC) has brought opportunities for the development of the industry. However, the both-ends-abroad OEM production mode is "locked" in the low value-added processing and production link in the GVC, which is located at the lowest end of the GVC. When international financial crisis breaks out, the orders of domestic OEM companies decrease significantly, which directly affects the development of the companies. Thus, it indicates that China's sporting goods OEM companies should not rely too much on international processing and export trade, but to rely on the local market to build a national value chain (NVC), integrate domestic and foreign sellers and suppliers and form an orderly product competition and certain market share ability through corporate mergers and acquisitions, product outsourcing, etc. Through the leverage of NVC, leading companies can achieve the expansion of the competitive advantages. Cultivate domestic multinational companies that can compete with international multinational companies in NVC, so that they can focus on the governance and control of the core links of the value chain, realize independent product research and development, brand and sales channel construction, support and help small and medium-sized domestic enterprises take the path of professional development in NVC, actively guide and encourage cooperation with the core to create value chain advantages, and achieve win-win cooperation and products’  functional upgrade.
Evolution and Review of Modern Eastern Vernacular Buildings
Authors: Wenbin Gong Tian Hu,
Published: August 2021

This paper divided the evolution of modern Chinese vernacular architecture (1949–2010) into 3 stages: early exploration, confine and confusion, and modern development, by taking time line as the clue, vernacular characteristics of modern architecture in Xi’an during different phases as the support, and combining literature research and field investigation. On this basis, it reviewed historical background, relevant context and typical features of modern vernacular architecture in Xi’an during different phases, and further concluded the evolution laws and research level of modern Chinese vernacular architecture.
Network Abnormal Data Detection Based on Deep Learning Model
Authors: Dong Yang
Published: August 2021

To improve intrusion detection system performance,many algorithms are used to improve the performance of IDS systems, especially deep learning models. This paper presents an algorithm based on the model MLP, the training data set is the KDD99 data set, and the original data of the data set is vectorized by one-hot encoding, and the feature data is processed by Z-Score, and then the feature vector is encoded, and then the multi-layer perception is used The machine network performs feature learning, and finally trains the classifier model for detection. Traditional network anomaly detection algorithm models mainly use manual selection methods, and the accuracy and efficiency of classification problems are not high. This article first proposed the role of multilayer perceptron in Adam optimizer. The test of the KDD99 data set has been completed. The algorithm accuracy rate can reach 99%. For future network abnormal data detection work, an algorithm model that can realize real-time online detection is provided, which will have higher accuracy and better real-time performance.
The Challenge against Economic Regulation Ethics under the COVID-19 Epidemic: An Analysis of Unethical Behavior of Convenience
Authors: Qu Jianguo
Published: August 2021

Purpose: Under the COVID 19 epidemic, public interest should be treated as a kind of public ethics. From the perspective of economic regulation, this study regards unethical behavior arising from the pursuit of convenience as a challenge against the public interest. It attempts to analyze the relationship between convenience and moral behavior from the perspectives of moral philosophy and psychology, reveal the factors influencing occurrence of unethical behavior of convenience, and express opinions on the construction of citizen morality under the epidemic. Method: By combining literature research and life cases, analysis is made on unethical behavior of convenience in life. Results: Convenience is a need in human moral life, and people may have unethical behaviors in the pursuit of convenience. The degree of convenience in the context of moral life, the clarity of moral clues, whether moral evasion is successful, and the tolerance of moral hazards are factors that affect whether individuals commit unethical behaviors in the pursuit of convenience.

Conclusion: Respect for individual convenience is also respect for individual human rights, and overall convenience is the inherent requirement of social moral life. The epidemic has significantly impacted individual lives and public lifestyles. It is undoubtedly an important means to prevent and control the COVID-19 epidemic by regarding public interests as public ethics. For the need to jointly prevent and control the epidemic, it is recommended that schools incorporate convenience-related moral education content in light of the epidemic situation.
Analysis of Public Space in Historic Districts of Historic Cities Based on Community Governance
Authors: Yunying Ren Fan Ding,
Published: August 2021

Purpose: Based on the perspective of community governance, the paper explores the research path of public space renewal in historic city districts. Taking the historical public space of Lhasa City as an example, this paper analyzes the causes of the characteristics of public space, analyzes the logical relationship between public space and urban renewal and community governance, and finally optimizes the pattern of historical public space of Lhasa City by improving the spatial structure. Create intelligent living blocks and optimize the life mode of historical blocks; Significance: From the human-oriented perspective, the exploration of the public space renewal in the Historic Districts was in essence a process in which people develop continuously and their needs are continuously satisfied. It could meet the multi-level needs of residents at different stages. Secondly, from a social perspective, the innovative pattern of community governance could help achieve self-satisfaction within the district, radiate to the surrounding industries, and relieve the pressure of social employment. Thirdly, from the perspective of urban renewal implementation, the research on the public space renewal the Historic Districts would help promote the balance of social ecological environment, improve the regional governance and promote the high-quality development of the city.
A Decision-making method for the Application of Pavement Repair Materials Based on Stackelberg Model
Authors: Donghang Yu, Ronghui Zhang Gongliang Zhang,
Published: August 2021

Highway repair cost mainly depends on the toll income, which in turn is associated with the traffic volume. Scientifically making decision for the application of repair materials is within the reasonable planning of managers regarding road maintenance scale and funds. For exploring effective strategy specific to the highway maintenance plan, the paper focuses on integrating the utility factor of traveler into the highway repair decision. Relevant problems are introduced, together with the establishment of the Stackelberg model. Considering the sensitivity analysis, the heuristic algorithm is employed specific to the traffic volume N. The paper solves the decision-making model with regard to the two expressways’ maintenance plan, as well as derives corresponding strategies. At last, the paper concludes, based on analyses, the general process regarding the maintenance decisions of multiple highways with the traffic volume N, assisting highway operators in making effective decisions.
Analysis on the Effect of Protective Equipment Training on Hospital Infection Managers
Authors: Et al. Yongli Zou
Published: August 2021

Objectives: To analyze the effect of personal protective equipment training on new hospital infection managers. Methods: Personnel are divided into two batches by region. Adopt a diversified training model to train all personnel, finally conduct practical assessments and issue certificates. Collect information through information technology, analyze questionnaires, and understand trainees’ circumstances before and after the training. Each training batch has uniform teachers and the same training methods. Results: After the training, the trainees' proficiency in putting on and taking off protective equipment increased by 22.85%, and ability to choose protective equipment according to different working environments increased by 22.04%; 78.23% trainees believed that practical exercises should be emphasized. Taking off protective clothing was considered as the most difficult link in practical training (91.13%), followed by putting on protective clothing (70.43%). 96.24% trainees believed that this training is helpful for future work. Conclusions: It is quite necessary to implement personal protective equipment training among new hospital infection managers; where, practical training, assessment, information-based questionnaire survey, expert theory teaching have achieved good results; the training helps reduce occupational exposure-induced hospital infection, and at the same time, avoids improper use of protective materials and waste.
Exercise Fatigue Induce the Oxidative Stress and the Expression of mGluR 4 and mGluR 5 on the Ventrolateral Thalamus in Rats
Authors: Yong Mao, Dan Xu Meihua Su,
Published: August 2021

Objective: The motor thalamus plays an important role during exercise. It aims to observe the changes of mGluR4 and mGluR5 in ventrolateral thalamus of rats induced by repeated exhaustive exercise, and to discuss the relationship of mGluR4, mGluR5 and oxidative damage occured during exhaustive exercise. Methods: There were 48 male wistar rats, which were randomly divided into four groups including CG, 0EG, 24EG and 48 EG, each group having 12 rats. Meanwhile, immunohistochemistry (IMM) technique was used to investigate the expression of positive cell and integrated optical density (IOD) of metabotropic glutamate receptor 4 (mGluR4) and metabotropic glutamate receptor 5 (mGluR5), and the impact of exhaustive exercise played on oxidative stress indexes such as malondialdehyde (MDA), glutathione peroxidase (GSH-PX) and superoxide dismutase (SOD) in ventrolateral thalamus of rats were also investigated in different groups. Results: Compared with CG, the expression of mGluR4 and mGluR5 protein of ventrolateral thalamus in 0EG and 24EG both significantly increased, and the value of mGluR4 in 48EG were still higher than control group, however the the value of mGluR5 in 48EG reduced to the rest level of control group. Meanwhile, the SOD activities of 0EG and 24EG group were significantly higher than the control group, and it was the same with GSH content in ventrolateral thalamus of rats. Meanwhile, MDA has been investigated that it increased significantly in 0EG and 24EG compared with control group, and the MDA level of 48EG was still significant higher than CG. Moreover, the indexes of muscle injury such as LD, CK and BUN all increased significantly post-exercise immediately and post-exercise 24 hours .Conclusion: Exercise fatigue could result in up-regulation of mGluR4 and mGluR5 and increace activity of SOD , GSH-PX and MDA in ventrolateral thalamus of rats, and it also induce the muscle injury by increase the level of LD, CK and BUN in serum, which suggested that ventrolateral thalamus was an important brain rigion to modulate the motor function, and mGluR4 and mGluR5 maybe two important receptors prevent from the increase of free radicals and muscle injury induced by exercise fatigue.