Search

Broken rock masses with the complexity and concealment widely exist in nature such as underground mine, collapse column, and zone. It is extremely difficult to model fracture networks and to simulate water diffusion for broken rock masses. To explore a reasonable fracture network model for broken rock masses, a new method for modeling a two-dimensional planar fracture network model is proposed in this paper. It includes packer test, empirical relationship, fractal width description, and symmetric expansion modeling. Then, the fluid-solid coupling is used to simulate the diffusion properties of water in the two-dimensional planar fracture network model. It is found that the diffusion velocities v max and v min do not appear in the fracture widths λ max and λ min . It indicates that the fracture widths λ max and λ min in the fracture network model for broken rock mass have little impact on the diffusion velocity. Furthermore, the fracture distribution pattern in the fracture network model is an important factor affecting the diffusion velocities v max and v min . The simulation results of water diffusion in the currently proposed model are almost consistent with the actual process of the packer test. Also, the validity of the two-dimensional planar fracture network model is verified by comparing the simulation results with the existing research. [ABSTRACT FROM AUTHOR]

As a compulsory course in universities, physical fitness is an important part of public health. At present, research on physical fitness lacks a comprehensive evaluation method, which cannot accurately guide public health. Based on this, this paper compares the key factors affecting public health, aiming to better guide public health and improve the level of public health. In this paper, 219 college students were selected as the research object, using statistical analysis methods, to find out the significant differences in influencing factors. Then, regression analysis is carried out on different influencing factors to determine the key factors affecting physical fitness. The results show that physical fitness level, exercise frequency, and physical injury are the key factors affecting physical fitness and have a serious impact on public health, with an impact level of about 70~80%. Therefore, colleges and sports departments should set out from the above factors, formulate a development plan for physical fitness, and promote the improvement of public health. [ABSTRACT FROM AUTHOR]

As the cradle of scientific research institutions and the cultivation of innovative talents, high-level universities are of certain theoretical and practical significance to investigate the impact of high-level universities on the innovation of local enterprises under the realistic background of the revival of machine learning. This paper takes A-share listed enterprises in Shanghai and Shenzhen stock markets from 2013 to 2019 as samples, and empirically examines the relationship between high-level universities and local enterprise innovation from the perspective of "double first-class" universities. The study found that high-level universities have a significant role in promoting the innovation of local enterprises, and a series of robustness tests have also confirmed the conclusions of this paper. Mechanism analysis shows that high-level universities promote local enterprise innovation mainly by promoting human capital output and school-enterprise cooperation. Heterogeneity analysis shows that executive gender, government intervention, and differences in regional development levels have significant heterogeneity effects. This paper has obvious policy implications: China should guide high-level universities to cultivate high-quality talents, cultivate positive school-enterprise cooperation, promote the sharing of innovative resources, and promote the high-quality development of the real economy. [ABSTRACT FROM AUTHOR]

One of the sources of "invariance principle" is that the limit properties of the uniform empirical process coincide with that of a Brownian bridge. The deep discussion of limit theorem of the uniform empirical process gathered wild interest of the researchers. In this paper, the precise convergence rate of the uniform empirical process is considered. As is well-known, when ε tends to 0, the precise asymptotic theorems can be demonstrated by referring to the classical method of Gut and Spǎtaru, by using some nice probability inequalities and so on. However, if ε tends to a positive constant, other powerful methods and tools are needed. The method of strong approximation is used in this paper. The main theorems are proved by using the Brownian bridge B t to approximate the uniform empirical process α n t . The relevant results for the uniform sample quantile process are also presented. [ABSTRACT FROM AUTHOR]

This paper proposes a prediction model of piano collective class teaching and learning effect based on DL network in order to realise the precise prediction and evaluation of piano collective class instructional effect and promote the improvement of piano collective class instructional quality. The idea of an instructional assessment index is quantified in this paper using specific data as its input and educational impact as its output. In parallel, several training networks are established to correspond to the first-level evaluation indexes, and the input samples are normalised. Finally, MATLAB performs the empirical research. According to the findings, this method's prediction accuracy can reach 94.41 percent, which is about 10.22 percent higher than that of conventional methods. This prediction model is somewhat realistic and feasible. When used to predict and assess instructional quality, this method not only eliminates the subjectivity of experts in the evaluation process but also yields satisfactory evaluation outcomes and has a broad range of applications. According to the model's predictions and evaluation findings in this paper, appropriate teachers can better understand the drawbacks of the collective class model, focus on some important aspects of teaching activities, and then enhance instructional methods and effects. [ABSTRACT FROM AUTHOR]

This paper presents an in-depth analysis and study of the role of piano performance in alleviating psychological trauma in people with psychological isolation disorder. In this paper, we designed a music modulation system based on EEG signals of people with isolation disorder and designed an interface with real-time emotion recognition. MATLAB is responsible for data processing and classification, while Python is responsible for communication and real-time transmission between modules, EEG signal collection, and processing. For the EEG signals in the DEAP emotion database, a Butterworth bandpass filter is used to denoise the signals, and then, a wavelet packet decomposition reconstruction is used to remove the artifacts and complete the preprocessing of the signals. Finally, the support vector machine with optimized parameters of the genetic algorithm was used to classify the positive, neutral, and negative samples with 89.23% accuracy. In this study, all subjects were divided into experimental and control groups by experimentally measuring the changes in heart rate, skin electrical conduction, skin temperature, and EEG signals before and after the experimental group, and statistical analysis was also performed on the data tabulation of the experimental and control groups. The experimental results proved that piano playing has a significant effect on relieving the psychological trauma of people with psychological isolation disorder when the training frequency of piano playing therapy reaches a certain intensity. This study provides a certain theoretical basis for clinical, educational, and health services. [ABSTRACT FROM AUTHOR]

To explore the effects of social support on the mental health of older adults in different age groups in China, and to provide reference for the development of social support policies to promote the mental health of older adults in China. This paper uses a random sampling method to conduct a questionnaire survey of 3,000 older adults aged 60 years or older in Nanjing and a dichotomous logistic regression model for empirical analysis. The two dimensions of mental health and social adjustment were used to measure the mental health status of the elderly. The results showed that the overall mental health status of the elderly in Nanjing city was more optimistic, and the nonempty nesters with male gender, higher education level, and partners were generally healthier; objective and subjective support had significant positive effects on the mental health of middle and high aged elderly, while the utilization of support had more significant effects on the health of low-aged elderly. This paper proposes that government departments should develop a localized elderly support system and social support policies adapted to the actual situation in Nanjing according to the quantitative distribution and demand characteristics of the mental health of elderly people in different age groups. The study is structured as follows: the second part contains data sources and statistical methods. The third part is the analysis of empirical results. The fourth part is the discussion and conclusion part of the article. [ABSTRACT FROM AUTHOR]

Scientific identification of the factors that underpin the success of construction program can effectively promote the success of construction program. Based on literature statistics, this paper developed the measurement items of key success factors of construction program in Chinese context. Based on exploratory factor analysis, seven key success factors of construction program were extracted. Then, the excellence model of construction program was constructed by referring to the ideas, concepts, and theoretical mechanisms of EFQM model. The research conclusions of this paper provide a systematic and holistic guidance for the successful implementation of the program by the construction program organization and promote the success of the program. [ABSTRACT FROM AUTHOR]

The capital market economy had created a good environment for the development of enterprises, and innovation had brought great impetus to the sustainable development of enterprises. However, the research on the relationship between stock market and enterprise innovation was not deep enough. Therefore, this paper proposed an empirical study on the relationship between stock price information and enterprise innovation management based on information learning mechanism, in order to provide reference for enterprise innovation and development. Firstly, taking the A-share listed enterprises from 2005 to 2020 as the research sample, this paper analyzed the factors that may affect the innovation behavior of enterprises, such as enterprise stock price information, peer stock price information, and IPO, and put forward relevant assumptions. Secondly, according to various factors that restrict the innovation behavior of enterprises, this paper defined relevant indicators to reflect the change law of enterprise stock price information, peer stock price information, and IPO and described the restrictive relationship between exploratory innovation and developmental innovation with different influencing factors by constructing a correlation regression model. Finally, through empirical analysis, the results show that exploratory innovation and developmental innovation are not affected by the enterprise's own stock price information, but with the increase of peer stock price information, enterprise exploratory innovation becomes more sensitive to peer stock price information. Although the share price information of peers has no significant impact on enterprise development and innovation, after IPO, enterprises are more sensitive to the share price information of peers in exploratory innovation and developmental innovation. However, with the passage of time, the impact of peer stock price information on enterprise developmental innovation is gradually weakened. [ABSTRACT FROM AUTHOR]

Affected by the fluctuation of the market and economic environment during the epidemic period, the capital pressure of companies has increased sharply, which increases the possibility of risk transmission in the same industry and poses new challenges to the operation and financing of companies. From the perspective of preventive motivation of corporate cash holding, we creatively use the industry working capital shortfall as the explanatory variable to construct an Extended Cash Holding Model and a Cash Holding Value Regression Model. Taking the panel data of A-share listed companies in Shanghai and Shenzhen as samples, this paper uses the Classical Linear Regression Model and Fixed Effects Regression Model to study the relationship between industry working capital shortfall and cash holdings in the same industry, as well as the relationship between industry working capital shortfall and cash holding value. The empirical results show that industry working capital shortfall has an important impact on the cash holding level within the same industry, and the cash holding level is significantly and positively correlated with industry working capital shortfall. Moreover, this study also reveals that the industry working capital shortfall has a dual impact on cash holdings. Specifically, the higher the risk of industry working capital shortfall, the lower the value of company cash holdings. The conclusions of this paper not only extend the research on cash holding but also provide support and reference for companies to optimize the cash holding value. [ABSTRACT FROM AUTHOR]

Affected by the fluctuation of the market and economic environment during the epidemic period, the capital pressure of companies has increased sharply, which increases the possibility of risk transmission in the same industry and poses new challenges to the operation and financing of companies. From the perspective of preventive motivation of corporate cash holding, we creatively use the industry working capital shortfall as the explanatory variable to construct an Extended Cash Holding Model and a Cash Holding Value Regression Model. Taking the panel data of A-share listed companies in Shanghai and Shenzhen as samples, this paper uses the Classical Linear Regression Model and Fixed Effects Regression Model to study the relationship between industry working capital shortfall and cash holdings in the same industry, as well as the relationship between industry working capital shortfall and cash holding value. The empirical results show that industry working capital shortfall has an important impact on the cash holding level within the same industry, and the cash holding level is significantly and positively correlated with industry working capital shortfall. Moreover, this study also reveals that the industry working capital shortfall has a dual impact on cash holdings. Specifically, the higher the risk of industry working capital shortfall, the lower the value of company cash holdings. The conclusions of this paper not only extend the research on cash holding but also provide support and reference for companies to optimize the cash holding value. [ABSTRACT FROM AUTHOR]

The "innovation-driven" development approach plays a crucial role in transforming and developing current China's national economy. Many innovation-driven mergers and acquisitions (M&As) emerge in the M&As activities of firms, and the acquiring firm's business strategy of conducting innovation-driven M&As has drawn significant attention. To study the impact of business strategy on innovation-driven M&As, this paper adopts the probit model to conduct logistic regression analysis on the 223 M&As data samples, exploring which business strategy is inclined to perform innovation-driven M&As. The results show that prospective firms are more likely to conduct innovation-driven M&As. Besides, the firms that conduct prospective business strategies are more likely to have a higher innovation level than firms operating defensive business strategies. The innovation level plays the role of a mediator variable in the model of business strategies influencing innovation-driven M&As. This paper analyzes the innovation-driven motivation from the perspective of business strategy, enriching the research of M&A and offering a method to predict the possibility of innovation-driven M&A by measuring business strategy. [ABSTRACT FROM AUTHOR]

As a large developing country, China's outward foreign direct investment (OFDI) and its relationship to trade have always been subjects of extensive scrutiny in academic circles. With the continuous advancement of the "Belt and Road" initiative (BRI), the pace of overseas expansion by Chinese firms has accelerated. This paper theoretically constructs a firm heterogeneity model of China's OFDI and bilateral trade, and conducts research based on panel data of China's OFDI in countries along the BRI from 2003 to 2019. The results show that China's OFDI can substantially enhance the potential for bilateral trade, and this conclusion remains robust after overcoming endogeneity and economic fluctuations. In a heterogeneity test, China's OFDI in countries along the "Land Silk Road" is shown to have a greater effect on trade potential than in countries along the "Maritime Silk Road." In the controlled test, China's OFDI to BRI countries has a greater role in upgrading trade potential than investment in other trading powerhouses. China's OFDI can promote the economic development of host countries along the BRI by strengthening the potential for bilateral trade. The results of this study are not only conducive to the "going global" of Chinese enterprises but also of practical significance for host countries to achieve high-quality economic development. [ABSTRACT FROM AUTHOR]

The cultivation of strategic emerging industries is strategic to the economic transformation and upgrading in Fujian, a southeastern province of China. It is of great significance to study its selection model. In this paper, according to the characteristics of strategic emerging industries, drawing on the double helix model, this paper sets up an evaluation system for strategic emerging industries. Then, the entropy-VIKOR algorithm was introduced to evaluate and rank the backbone enterprises in Fujian, based on the data on 21 listed enterprises of strategic emerging industries in the province from 2017 to 2019. The empirical research results are consistent with the actual situation of the development of strategic emerging industries in Fujian Province, which proves the feasibility of this research method. Finally, according to the empirical analysis results, this study puts forward some countermeasures for the development of strategic emerging industries in Fujian province. [ABSTRACT FROM AUTHOR]

Customer churn will cause the value flowing from customers to enterprises to decrease. If customer churn continues to occur, the enterprise will gradually lose its competitive advantage. When the growth of new customers cannot meet the needs of enterprise development, the enterprise will fall into a survival dilemma. Focusing on the customer churn prediction model, this paper takes the telecom industry in China as the research object, establishes a customer churn prediction model by using a logistic regression algorithm based on the big data of high-value customer operation in the telecom industry, effectively identifies the potential churned customers, and then puts forward targeted win-back strategies according to the empirical research results. This paper analyzes the trends and causes of customer churn through data mining algorithms and gives the answers to such questions as how the customer churn occurs, the influencing factors of customer churn, and how enterprises win back churned customers. The results of this paper can better serve the practice of customer relationship management in the telecom industry and provide a reference for the telecom industry to identify high-risk churned customers in advance, enhance customer loyalty and viscosity, maintain "high-value" customers, and continue to provide customers with "value" and reduce the cost of maintaining customers. [ABSTRACT FROM AUTHOR]

Over the last few years, business simulation games (BSGs) in higher education have attracted attention. BSGs tend to actively engage students with course material, promoting higher engagement and motivation and enabling learning outcomes. Increasingly, researchers are trying to explore the full potential of these games with an upsurge of research in the BSG field in recent years. There is a need to understand the current state of research and future research opportunities; however, there is a lack of recent systematic literature reviews in BSG literature. This study addresses this gap by systematically compiling online empirical research from January 2015 to April 2022. We followed PRISMA guidelines to identify fifty-seven (57) papers reporting empirical evidence of the effectiveness of BSGs in teaching and learning. Findings showed that BSGs improve learning outcomes such as knowledge acquisition, cognitive and interactive skills, and behaviour. The review also summarises different issues concerning the integration of BSGs into the curriculum, learning theories used in the selected studies, and assessment methods used to evaluate student achievement in learning outcomes. The findings of this review summarise the current research activities and indicate existing deficiencies and potential research directions that can be used as the basis for future research into the use of BSGs in higher education. [ABSTRACT FROM AUTHOR]

In recent years, Meals on Wheels (MoW) services have been in a state of decline as austerity policies have become entrenched. However, this decline is occurring with little knowledge of the impact withdrawal of MoW services has on the health and well‐being of those who use them. The pandemic has raised awareness of precarity and vulnerability in relation to food that affects many people in the UK and other Westernised countries and this provides further context for the analysis presented. This paper presents findings of a mixed methods ethnographic study drawing on qualitative interviews and visual methods underpinned by social practice theory to explore the household food practices of older people receiving MoW services. Interviews were conducted with 14 older people receiving MoW, eight MoW staff delivering MoW services in the east of England and one expert. The Covid‐19 pandemic interrupted the study, and once the first lockdown began visits to the homes of older people were terminated and the remaining interviews were undertaken by telephone. The study found that a number of threats accumulated to change food practices and moved people towards vulnerability to food insecurity. Threats included difficulty accessing food and cooking due to sensory and physical challenges. The MoW service increased participants' coping capacity. As well as benefiting from the food provided, the relational aspect of the service was important. Brief encounters between MoW staff built caring relationships that developed over time to ensure older people felt valued and cared for. The study demonstrates how MoW services make a positive contribution to food practices, supporting vulnerable adults to continue living well in their own homes and protecting them from food insecurity and ill‐being. Local authorities looking to make cost savings through ending MoW services should consider the impact this would have on the well‐being of older residents. [ABSTRACT FROM AUTHOR]

There has been increasing interest and research attention towards citizenship‐based practices and care within health and social care settings. A framework for implementing citizenship‐based interventions has helped support the participation in society of persons who have experienced major life disruptions. Yet, having ways to measure the impact of citizenship 'in action' within specific socio‐cultural contexts has proved challenging. We report on the development of the Strathclyde Citizenship Measure (SCM) which seeks to establish a psychometrically sound measure of citizenship that is relevant to the Scottish context. We outline the three phases of developing the SCM: (1) item generation, (2) item reduction and piloting, and (3) measure validation. Having generated items for the SCM using concept mapping techniques, we piloted it with 407 participants who completed an online survey of a 60‐item version of the SCM. The aims were to assess the validity of the items and reduce the number of items using principal components analysis for the final measure. This resulted in a 39 item SCM. We then sought to establish the psychometric properties of this shorter version of the SCM through testing its reliability, convergent, concurrent and discriminant validity. The 39 item SCM was administered online to 280 Scottish residents along with additional measures including the Warwick‐Edinburgh Mental Well‐being Scale (WEMWBS), the Depression, Anxiety and Stress Scale (DASS21), the Sense of Belonging Instrument (SOBI‐A); the Big Five Personality Inventory (Shortened Version; BFI‐10) and the Personal Social Capital Scale (PSCS‐16). The factor structure and dimensionality of the SCM was examined using exploratory factor analysis and it was found to be reliable and valid. This paper explores the potential for the application of the SCM across health and social care settings and identifies future work to develop citizenship tools to facilitate dialogues about citizenship across health and social care practice settings. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic broke the normal of school education and sounded the horn for future education reform. This paper designs the online and offline mixed teaching mode of the SPOC platform in the postpandemic era according to the actual situation of teaching at application-oriented colleges and universities, and the blended teaching mode is applied to real teaching scenarios. The teaching effect and students' behaviors are analyzed in such scenarios. Empirical research shows that the situational teaching model based on mixed SPOC for course design, teaching resources are more abundant, and task assessments are more reasonable. Through the questionnaire survey, about 95% of the students think that the learning mode based on SPOC has improved their learning interest, autonomous learning ability, and problem-solving ability, which is much higher than the assessment of traditional courses. The exploratory practice has shown that the online and offline blended teaching mode based on SPOC can dramatically improve teaching quality. [ABSTRACT FROM AUTHOR]

The key to China's regional high-quality development lies in county-level coordination and promotion. Therefore, based on 2847 county-level administrative units in China, this paper uses empirical analysis methods such as dynamic spatial panel Dobbin model and intermediary effect model to study.Then we test the relationship between the industrial structure of county innovation capacity and regional development of high quality. The results showed that (1) the regional development of high quality at the county level in China was generally distributed in clusters, and the agglomeration had a further trend of strengthening. (2) The innovation ability and industrial structure also had a positive effect on the regional development of high quality at the county level, and the result was significant. (3) Innovation had both direct and indirect effects on regional development of high quality. Industrial structure and regional development of high quality had strong spatial and temporal dependence effects. [ABSTRACT FROM AUTHOR]

With the rapid development of urban rail transit in various parts of China, the supply and demand contradiction between the commercial development level of rail transit integrated transfer hubs and passenger demand has become increasingly obvious, and it is of great significance to clarify the consumption characteristics and influencing factors of passengers from the rail transit integrated transfer hubs to solve the contradiction between supply and demand. In this paper, passengers of major rail transit integrated transfer hubs in Beijing and Tianjin are selected as samples, and combined with questionnaire survey and data statistics, the consumption characteristics of passengers at hub stations are quantitatively analyzed, and the influence mechanism of passengers' basic attributes and travel behavior on their consumption characteristics is studied. Through data processing, correlation analysis, regression analysis, and other analysis methods, five key factors affecting passenger consumption and the corresponding influence mechanism are obtained, respectively, and the regression model of five consumption characteristics is obtained, which lays a foundation for the optimization and improvement of the commercial layout of the integrated transfer hub of rail transit in the future. [ABSTRACT FROM AUTHOR]

Housing market occupies a large part of the wealth of the whole society in most countries, and real estate tax plays an important role for the government to maintain sustainable development for the economy. As consumption being a major issue nowadays, in this paper, we want to find out (1) whether real estate taxes affect the house price in China and whether the affects vary among different tax types? (2) whether there exists wealth effect in China housing market? That is, whether the change in house wealth (price) affects the consumption? (3) whether and how do real estate taxes affect wealth effect? We set up the empirical model by using the GMM method on panel data from 2002 to 2016 to explore the relations among real estate tax, housing price, and wealth effect. We considered the influence of four different types of real estate tax on the housing price and found the results are mixed. Besides, there is a significantly negative wealth effect on China housing market. Finally, house price plays a mediator role in the effect of the real estate tax on the consumption. [ABSTRACT FROM AUTHOR]

Promoting the innovative development of cities in the metropolitan area holds great significance for China's implementation of the "innovation-driven development" strategy. According to symbiosis theory, this paper constructed a city-based Lotka-Volterra symbiosis model and innovation-level index system. We used the Shanghai metropolitan area as a sample for empirical analysis to explore the evolution of the comprehensive development level of urban innovation under different symbiotic relationships. The research results showed that under a reciprocal relationship, the innovative development of core city and node cities was higher than the actual level; under a mutual inhibition symbiosis or parasitic symbiotic relationship, the innovative development of core city and node cities was lower than the actual level; and under an independent symbiotic relationship, the innovative development of the core city was higher than the actual level, while that of the node cities was lower than the actual level. [ABSTRACT FROM AUTHOR]

Reasonable risk-taking acts as a solid foreground for sustaining corporate growth. Having companies trading on Chinese stock exchanges between 2010 and 2019 sampled, this paper explored how an Internet-based business model would affect corporate risk-taking from the perspective of information empowerment. Through the mediation effect model and quantitative text analysis, the following findings were obtained here. First, a network-powered business model could significantly enhance the risk tolerance of companies. Second, mechanism testing showed that such a novel model would help reduce the asymmetry of corporate information and thus enhance corporate risk-taking capacity. Third, an analysis on heterogeneity revealed that businesses that enjoy a freer market and fewer financing constraints could better feel the positive impact of an Internet-based business model on corporate risk-taking. Fourth, an examination of economic consequences showed that risk-taking under Internet-based business models allowed enterprises to create sustainable value. Overall, the present work confirmed the positive impact of an Internet-based business model on corporate risk-taking from the information empowerment angle, and it is expected to provide a theoretical basis for enterprises to optimize their investment decision-making strategies and increase their risk-taking willingness and capacity. [ABSTRACT FROM AUTHOR]

In this paper, we propose a generalized class of exponential-type estimators for estimating the finite population distribution function using dual auxiliary variables under stratified sampling. The biases and mean squared errors (MSEs) of the proposed class of estimators are derived up to the first order of approximation. The empirical and theoretical study of comparisons is discussed. Four populations are taken for the support of the theoretical findings. It is observed that the proposed class of estimators performs better as compared to all other considered estimators in stratified sampling. [ABSTRACT FROM AUTHOR]

The Internet is the product of the rapid popularization of high technology. With the higher and higher configuration of computers, the functions are more and more complete, and the scope of coverage is more and more wide. With the continuous development and improvement of the Internet, computer network technology has been widely used in sports. Based on the background of "Internet +", this paper builds the framework of Internet sports public service platform and uses websites, mobile apps, WeChat, and other platforms to build sports public service platform. Communication system is the most critical path of Internet construction. Based on the application path of sports public service communication system, the basic content of sports public service system is analysed. Through the research on the practicability of constructing the path, the results show that the Internet channels and media terminals passively receive the content released by the information subject so that the information can achieve the node transmission with high sharing and provide theoretical reference and practical guidance for the informatization development of sports public service. [ABSTRACT FROM AUTHOR]

Promoting the innovative development of cities in the metropolitan area holds great significance for China's implementation of the "innovation-driven development" strategy. According to symbiosis theory, this paper constructed a city-based Lotka-Volterra symbiosis model and innovation-level index system. We used the Shanghai metropolitan area as a sample for empirical analysis to explore the evolution of the comprehensive development level of urban innovation under different symbiotic relationships. The research results showed that under a reciprocal relationship, the innovative development of core city and node cities was higher than the actual level; under a mutual inhibition symbiosis or parasitic symbiotic relationship, the innovative development of core city and node cities was lower than the actual level; and under an independent symbiotic relationship, the innovative development of the core city was higher than the actual level, while that of the node cities was lower than the actual level. [ABSTRACT FROM AUTHOR]

Most of the existing region-matching algorithms need to match all regions, resulting in a waste of computing resources, increasing the cost of simulation technology and data redundancy, and resulting in the reduction of network data stream transmission efficiency. This paper presents a parallel region-matching knowledge recognition algorithm. Combined with the shortcomings of existing matching algorithms, a simulation technology is constructed to realize the parallel matching of multiple regions in HLA distributed simulation. The algorithm can realize the parallel matching calculation of multiple changed regions in one simulation. At the same time, the basic idea based on mobile intersection is adopted in the matching calculation, and the historical information before and after the region range is moved is used. The matching is limited to the moving interval, and the moving crossover theory is applied to the matching calculation to realize the relevant historical information before and after the region. Simulation results show that the parallel region-matching knowledge recognition algorithm can support HLA distributed simulation evaluation. In the matching calculation, the basic idea based on moving intersection is adopted, and the matching is limited to the moving interval by using the historical information before and after the region is moved, which reduces a large number of irrelevant calculations. Theoretical analysis and experimental results show that the algorithm is particularly suitable for the application needs of building large-scale distributed simulation based on multi-core computing platform. [ABSTRACT FROM AUTHOR]

This paper investigates the relationships between digital transformation, boundary spanning, and sustainable competitive advantage of manufacturing enterprises through an analysis of data from 127 manufacturing enterprises. Our main research findings are as follows. First, digital transformation has a positive impact on sustainable competitive advantage of manufacturing enterprises. Compared with the degree of transformation, technology readiness has a stronger influence on sustainable competitive advantage. Second, digital transformation has a positive impact on boundary spanning of manufacturing enterprises. Third, boundary spanning of manufacturing enterprises has a positive impact on their sustainable competitive advantage. Fourth, digital transformation affects the acquisition of sustainable competitive advantages of enterprises through boundary spanning, where the direct role of digital transformation accounts for 75% and the mediation effect of boundary spanning accounts for 25% of the total effect. Fifth, the mediation effect of boundary spanning on the relationship between digital transformation and sustainable competitive advantage is mainly realized through boundary spanning depth, while the mediation effect of boundary spanning breadth on the relationship between digital transformation and sustainable competitive advantage is insignificant. Our findings can help realize the digital transformation of manufacturing enterprises and achieve their sustainable competitive advantage. [ABSTRACT FROM AUTHOR]

Shared parking has become the most effective way to utilize existing parking resources. Little attention has been focused on drivers' intention to use shared parking spaces in residential areas considering individual heterogeneity. To fill this gap, this paper explores the influencing factors and mechanism of shared parking use intention (SPUI) and further studies the preferences for the shared parking of different types of drivers. Firstly, based on the extended unified theory of acceptance and use of technology that includes psychological factors, personal attributes, and travel characteristics, the multiple indicator multiple cause (MIMIC) model was employed for parameter estimation and model assessment. Secondly, using MIMIC's output results as input variables, the segmentation method of the latent class model (LCM) was adopted to explore drivers' preferences regarding SPUI. Finally, a quantitative study was carried out through questionnaire data. The empirical results show that: (a) the extended unified theory of acceptance and use of technology has good explanatory power for SPUI. SPUI is directly affected by perceived risk (PR), behavioral habit (BH), social influence (SI), facilitating conditions (FCs), and effort expectancy (EE), while performance expectancy (PE) have no significant effect on SPUI. In addition, some factors of personal attributes and travel characteristics affect SPUI through psychological factors. (b) According to individual heterogeneity, the surveyed driver groups are divided into four segments: sensitive type (36%), conservative type (29.6%), neutral type (24.5%), and approved type (9.9%), respectively. There are significant differences in psychological observation variables such as EE, PE, FC, and SI among the four segments of drivers. According to the influence mechanism of psychological factors and preferences analysis of different types of drivers, the shared parking promotion strategy can be formulated from the aspects of management, operation, and technology. [ABSTRACT FROM AUTHOR]

This paper conducts an in-depth research analysis on the precise employment of college graduates in the context of big data using a number-driven approach. The textual information of the study is obtained by using in-depth interviews, and the evaluation index system of college students' employment quality is constructed by combining the step-by-step coding method with rooting theory. The research on the current situation of employment recommendation platform research and the application status of big data in the employment recommendation platform is explored by using a bibliometric approach. And the innovative use of web crawler technology is used to comprehensively understand the recommendation function and status quo of the same type of recommendation platform, which provides a reference for the research of this platform. Based on the preliminary analysis of platform requirements and overall design, the overall design and functional implementation of the big data employment recommendation platform are carried out by using big data crawler technology, big data architecture technology, text mining technology, database technology, etc. The construction of a recommendation module based on user history information, a recommendation based on real-time user online behavior data, and hybrid recommendation carried out on the recommendation module to grasp all-round the platform is built based on a stakeholder perspective. Based on the platform construction, the initial platform operation and maintenance management mechanism was established from the stakeholder's perspective. The Pearson correlation coefficient is used to objectively evaluate the current situation of talent supply in universities and talent demand in enterprises from the perspective of image and data. In the research on the development status of the big data education industry, the Lorenz curve and Gini coefficient are used to match the status of new big data majors with their college construction volume in each province and provide data support for the reasonable adjustment of majors setting in each province according to the education level. [ABSTRACT FROM AUTHOR]

Demographic situation, changes in the role of women in society and growing demand for long‐term care (LTC) of older people have challenged the ability to meet the growing LTC needs in most developed countries. In countries where responsibility for LTC is still largely laid on families, it is, however, even more critical and calls for improvements in formal LTC systems. More intensive stakeholder collaboration in LTC policy development, organising and delivery are of primary importance in improving LTC systems. Such collaboration, however, is not always successful; thus, it is critical to understand what makes it effective and efficient. In this paper, we specifically look into multistakeholder collaboration in LTC in Lithuania, one of the fastest ageing countries in the EU, with the demand for LTC services growing fast and exceeding the supply despite rising business and NGO engagement. To determine facilitators of such collaboration, we build on the data obtained through eight focus group discussions with all key stakeholder representatives (LTC policymakers, organisers and service providers [public, private and NGOs], 54 participants in total). Our findings indicate that in addition to national and organisational level facilitators studied in prior research, there are important individual level factors, such as meaningfulness at work, concern and care for others, possibility for personal growth and development, satisfaction with supervision, a sense of belonging and role clarity. On the other hand, our results show that collaboration is constrained by a shortage of human resources, increased workload caused by growing LTC demand, bureaucratic requirements, legal restrictions, lack of awareness of LTC service availability among elder persons, and prevailing social norms and attitudes to institutionalised care. Interestingly, a lack of financial resources is not perceived as a major constraint. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) will fundamentally change the global labor market in the near future. While many papers have been published on related topics—such as algorithm development, human–robot communication, laws, and legislation surrounding AI—the psychological impacts of its implementation in workplaces are still largely unknown. Furthermore, existing theoretical models of AI effects do not incorporate psychological outcomes, which translates into a major gap in the scientific literature. Therefore, this study's purpose was to empirically verify a newly developed theoretical model that integrates one individual determinant (e.g., general mental ability [GMA]) and the psychological outcomes of AI in the workplace (e.g., the effects of AI perceived usefulness on the basic psychological needs and psychological health). To that end, five hundred forty‐six employees (46.7% women and 53.3% men) working at least 20 hr per week in various Canadian organizations answered several online questionnaires. Collected data were analyzed using path analysis. First, the results of this study showed that the GMA‐level influences AI perceived usefulness‐level, which in turn determines its positive or negative perception. This perception differentially impacts employees' satisfaction or thwarting of basic psychological needs and also indirectly their psychological health. By combining three different theoretical approaches, this study contributes to connecting interdisciplinary knowledge of AI impacts on workers' psychological health and to reducing gaps between related research fields. [ABSTRACT FROM AUTHOR]

Cross-project defect prediction (CPDP) is a mainstream method estimating the most defect-prone components of software with limited historical data. Several studies investigate how software metrics are used and how modeling techniques influence prediction performance. However, the software's metrics diversity impact on the predictor remains unclear. Thus, this paper aims to assess the impact of various metric sets on CPDP and investigate the feasibility of CPDP with hybrid metrics. Based on four software metrics types, we investigate the impact of various metric sets on CPDP in terms of F-measure and statistical methods. Then, we validate the dominant performance of CPDP with hybrid metrics. Finally, we further verify the CPDP-OSS feasibility built with three types of metrics (orient-object, semantic, and structural metrics) and challenge them against two current models. The experimental results suggest that the impact of different metric sets on the performance of CPDP is significantly distinct, with semantic and structural metrics performing better. Additionally, trials indicate that it is helpful for CPDP to increase the software's metrics diversity appropriately, as the CPDP-OSS improvement is up to 53.8%. Finally, compared with two baseline methods, TCA+ and TDSelector, the optimized CPDP model is viable in practice, and the improvement rate is up to 50.6% and 25.7%, respectively. [ABSTRACT FROM AUTHOR]

This paper provides an in-depth analysis and study of the interactive flipped classroom model for a digital micro-video for a big data English course. To improve the learning efficiency of English courses and reduce the learning pressure of students, the thesis also uses certain techniques to apply audiovisual language to the production of specific micro-class videos, broadcast the successfully recorded micro-class courses to students, and then use the questionnaire to randomly distribute the designed audiovisual language use questionnaire. Micro-classes earnestly perform data statistics for students and finally conduct data analysis to summarize and verify the effects of micro-class audiovisual language use. The improved algorithm can effectively reduce the fluctuation of the consumption of various resources in the cluster and make the services in the cluster more stable. The new distributed interprocess communication based on protocol and serialization technology is more efficient than traditional communication based on protocol standards, reduces bandwidth consumption in the cluster, and improves the throughput of each node in the cluster. The content design and scripting of micro-video teaching resources are based on this. Then, the production process of micro-video teaching resources is explained, according to the selection of tools, the preparation, recording, editing, and generation of materials. [ABSTRACT FROM AUTHOR]

Although the relationship between technological innovation and the status of the global value chain's (GVC) division of labor has been essentially affirmed by academia, the direct regression of all countries does not account for national differences pertaining to different economic development levels. This paper divides the countries selected for this study into developed and developing countries and then conducts empirical tests on two sample sets to explore the heterogeneity of technological innovation and GVC division of labor status. The results reveal the following: (1) in developed countries, the GVC division of labor status of high-end manufacturing is generally higher than that of developing countries; (2) in developed countries, the technological innovation of high-end manufacturing plays a significant role in promoting GVC's division of labor, while developing countries have a significant inhibitory effect; and (3) staff input and financial developmental levels have significantly promoted GVC's status in the division of labor. Earlier studies have shown that, in developing countries, technological innovation in high-end manufacturing industries does not fully serve the goal of exporting intermediate goods. This study's conclusions offer a new method of explaining the nature of a given country, the logic of technological innovation, and the differences in the GVC division of labor status. [ABSTRACT FROM AUTHOR]

Using the nickel-based Colmonoy 5 hardfacing alloy, components made of austenitic stainless steel (ASS) used in nuclear power plants can be hardfaced. Hardfacing is the process of applying complex and wear-resistant materials to substrates that require abrasion resistance. The tribological characteristics of a reactor-grade material NiCr-B hardfaced deposit were studied and reported in this paper. Hence, in this investigation, an effort has been made to develop empirical relationship to predict weight loss of laser hardfaced Ni-based alloy surface incorporating laser parameters using statistical tools such as design of experiments (DoE) and analysis of variance (ANOVA). The developed empirical relationship can be effectively used to trail the weight loss (wear resistance) of laser hardfaced nickel alloy surfaces by altering laser parameters. This method has proven very effective. A power of 1300 W, powder feed rate of 9 g/min, travel speed of 350 mm/min, and defocusing distance of 32 mm were all combined to achieve a minimum weight loss of 0.0164 grams. [ABSTRACT FROM AUTHOR]