Correlation Analysis Model Research Articles

Comprehensive exploration on transfer and human health risk of potential toxic element in soil‐rice system from the Pearl River Delta

AbstractThe transfers of potential toxic elements (PTEs) from root soil to rice grains and its driving factors are of major worldwide concern. And it is still not clear whether the parent material has influence on the transfers of PTEs in soil. Thus, the aim of this study is to investigate the transfers of PTEs in soil‐rice system from different parent materials area, identify its driving factors and evaluate human health risk. 157 sets of root soil and rice grains samples collected from the areas with quaternary sediments, acidic magmatic rocks and terrigenous clastic rocks in the Pearl River Delta, China. Pearson correlation analysis, discriminant analysis, redundancy analysis, path analysis and human health risk model were utilized for data processing and analysis. The results reveal that parent materials play a primary role affecting the transfers of PTEs in soil‐rice system, and its influence on transfers of PTEs is achieved by governing physicochemical properties of soil. And physicochemical parameters like MgO, SiO2, Al2O3, TFe2O3, and organic matter (OM) exerted significant influence on transfers of PTEs. The influences of some physicochemical parameters on the transfers of PTEs are most significantly in the area of quaternary sediments. The values of the total non‐carcinogenic and the total carcinogenic risks for children and adults caused by rice consumption are much higher than the corresponding risk limits, and the main contributing elements are Pb, As, and As, Cd, respectively. The human health risks caused by rice consumption are greatest in the area with quaternary sediments.

Rumination, psychological capital and academic procrastination among nursing students: A cross-sectional study

BackgroundAcademic procrastination is common among college students, which affects their learning status and even their physical and mental health. Rumination, psychological capital, and academic procrastination are closely related, but for nursing students, there are few studies reporting on their levels and relationships. ObjectiveThe aim of this study was to investigate the levels of rumination, psychological capital, and academic procrastination among nursing students, and examine the mediating role of psychological capital in rumination and academic procrastination. DesignA cross-sectional study. SettingThe study sampled three medical colleges in Sichuan Province, China. ParticipantsA convenience sampling method was used to select 556 nursing students from April to June 2023. Methods556 nursing students were asked to complete questionnaires regarding social-demographic information, rumination, psychological capital, and academic procrastination. Descriptive statistics, Pearson correlation analysis and structural equation model were used in this study. ResultsThe scores of rumination, psychological capital, and academic procrastination among nursing students were 46.08 ± 13.61, 108.28 ± 19.50 and 55.32 ± 12.30, respectively. Additionally, structural equation modeling showed that psychological capital mediated the relationship between rumination and academic procrastination with the partial mediating effect of 0.425. ConclusionOur results suggest that nursing students exhibit moderate levels of rumination, psychological capital and academic procrastination. Moreover, rumination can not only directly affect academic procrastination, but also indirectly through psychological capital. Nursing educators should strengthen their attention to the mental health and learning status of nursing students, take measures to help them adapt to campus life, alleviate rumination, enrich psychological capital, and reduce the risk of academic procrastination.

Prioritization of Application Security Vulnerability Remediation Using Metrics, Correlation Analysis, and Threat Model

As part of a continuing research for evaluating threats posed for exposed attack surface, this study will provide a consolidated view of exploitability of vulnerable applications presenting a web attack surface of an organization exposed to an attacker. While testing and scanning technologies like Static Analysis Security Testing (SAST), Dynamic Analysis Security Testing (DAST), Application Ethical Hack (Penetration Testing), a monitoring technology like the Web Application Firewall (WAF) provides web traffic information of the number of transaction requests for every application under study. To ensure validity, reliability, and completeness of observation multiple applications must be observed. Research from a prior study is referenced that shows correlation between incoming WAF requests and existing vulnerabilities. Using correlation analysis, vulnerabilities metrics, and a threat model analysis help identify pathways to an attack. A vulnerability map-based attack tree can be developed using Common Weakness Enumeration (CWE) and Common Vulnerabilities and Exposures (CVE) information. The threat model analysis and vulnerability-based attack tree can help in simulation studies of possible attacks. This attack tree will show the linkages between vulnerabilities and a lineage pointing to how an attack could travel from the incoming WAF requests to deep down into the application code of exposed and existing, open vulnerabilities travelling laterally to create a more expanded attack crossing trust boundaries using application data flow.

Towards a better understanding of anticipatory postural adjustments in people with Parkinson's disease.

Previous studies have shown that anticipatory postural adjustments (APAs) are altered in people with Parkinson's disease but its meaning for locomotion is less understood. This study aims to investigate the association between APAs and gait initiation, gait and freezing of gait and how a dynamic postural control challenging training may induce changes in these features. Gait initiation was quantified using wearable sensors and subsequent straight walking was assessed via marker-based motion capture. Additionally, turning and FOG-related outcomes were measured with wearable sensors. Assessments were conducted one week before (Pre), one week after (Post) and 4 weeks after (Follow-up) completion of a training intervention (split-belt treadmill training or regular treadmill training), under single task and dual task (DT) conditions. Statistical analysis included a linear mixed model for training effects and correlation analysis between APAs and the other outcomes for Pre and Post-Pre delta. 52 participants with Parkinson's disease (22 freezers) were assessed. We found that APA size in the medio-lateral direction during DT was positively associated with gait speed (p<0.001) and stride length (p<0.001) under DT conditions at Pre. The training effect was largest for first step range of motion and was similar for both training modes. For the associations between changes after the training (pooled sample) medio-lateral APA size showed a significant positive correlation with first step range of motion (p = 0.033) only in the DT condition and for the non-freezers only. The findings of this work revealed new insights into how APAs were not associated with first step characteristics and freezing and only baseline APAs during DT were related with DT gait characteristics. Training-induced changes in the size of APAs were related to training benefits in the first step ROM only in non-freezers. Based on the presented results increasing APA size through interventions might not be the ideal target for overall improvement of locomotion.

The coupling relationship between marine industry agglomeration and ecological environment system from the perspective of ecological environment

To analyze the coupling relationship in marine industry agglomeration and ecological environment system, this study used the formula of location entropy coefficient for measuring the development agglomeration status of marine industry. Meanwhile, it also separately measures the degree of agglomeration of the primary, secondary, and tertiary industries in the ocean to reveal their degree of agglomeration in the region. In addition, a coupled correlation analysis model was designed. It uses grey relational analysis to reveal the relationships between data series in situations of insufficient data. Finally, a coupled coordination evaluation model was proposed. It evaluates the coupling status between the marine industry cluster and the ecological environment by calculating the capacity coupling coefficient, coupling degree, and coupling co scheduling. The results show that from 2013 to 2022, the agglomeration trend of the marine industry in Jiaodong Peninsula Province has undergone different changes. The location entropy coefficient of the primary industry increased from 1.3047 to 1.0987, while the location entropy coefficient of the secondary industry gradually increased from 0.2486 to 1.1141. The coupling coordination degree R between the marine industry agglomeration system and the ecological environment system has increased from 0.3986 to 0.6253. From 2018 to 2022, the coupling between the marine industry and ecological environment development has increased, gradually moving towards stability and coordination. This indicates that over the past decade, the development of the marine industry in Jiaodong Peninsula Province has placed greater emphasis on ecological protection, and has formed a positive interaction, promoting the coordinated development.

Assessment of Changes in Body Composition After 3 Months of Dulaglutide Treatment.

Changes in body composition accompanied by glucagon-like peptide 1 receptor agonist (GLP-1RA) induced weight loss have drawn much attention. However, fewer studies have reported body composition changes in patients receiving dulaglutide therapy in Chinese population. A total of 70 overweight/obese type 2 diabetes mellitus (T2DM) patients who received dulaglutide therapy were included. Clinical data were collected. Visceral fat area (VFA) and body composition were also measured. Changes in clinical indicators and body composition of patients before and after intervention were also analyzed. Correlation analysis and multiple linear regression model were used to evaluate the association between hemoglobin A1C (HbA1c) and body composition. The results showed that body weight (BW), VFA, body fat (BF), lean body mass (LBM), skeletal muscle mass (SMM) and water content were reduced after 3 months dulaglutide intervention. The lean body mass percentage (LBMP) and skeletal muscle mass percentage (SMMP) significantly increased. Moreover, there was no significant difference in bone mineral quality (BMQ) after the intervention. The multiple linear regression model revealed that the % change in BF was independently associated with % change in HbA1c (β = 0.449, t = 3.148, p=0.002). These results indicate that dulaglutide intervention does not cause muscle and bone mass loss while inducing weight loss, and % change in BF was independently associated with improved glucose control during dulaglutide therapy. This study offers some positive results to support the clinical application of dulaglutide.

User Acceptance and Adoption of the Digital Management Information System by focusing on E-Learning System in Institute of Distance Education (IDE) at the University of Zambia (UNZA)

Digital transformation is conquering the world with a tremendous speed in every aspect of society and education is one important area. This fast advancement in technology is occurring in both the developed and developing societies. As a result, we see e-learning platforms extensively used and make the learning process continue in universities and education institutions almost uninterrupted, despite the restrictions of social interaction by governments during the covid-19 pandemic. The purpose of the study was to evaluate the User Acceptance and Adoption of the Digital Management Information System by focusing on E-Learning System in IDE at UNZA. The study was conducted on the students and lecturers who used the System at the IDE at UNZA. A google questionnaire was sent to the students in their groups and 271 participants answered the questionnaire successfully and this became the sample for the study. Data was analyzed using SPSS where the correlation and multi-variant Regression Analysis Model were used to help understand the data. The study found that the Social Influence (β= .657), was mostly significant in influencing User Acceptance Adoption of the System, seconded by Performance Expectancy ( and Effort Expectancy’s (. The study concludes that all the constructs are positively related to the acceptance and adoption of the E-Learning System. However, Social Influence is the most influenced factor User Acceptance Adoption of the E-Learning System at the University of Zambia when compared to the other constructs. This conclusion has added to the arguments which have found other factors like PE and EE to be factors affecting BI for the adoption of IT systems in other countries. The study recommended that the University of Zambia should link E- Learning system with the online library to assist student get the recommended resources. This can be done by adding a fee to facilitate which will help cater for the running costs while students and lecturers maximize the use of the system.

Theoretical model for correlation analysis of wideband signal received by two vertical arrays and retrieval of modal dispersion curves in shallow water

Goal of this work is to carry out theoretical modeling extraction of characteristics of layered bottom (sound speeds c ;2 in layer, c in water, c ;b in half-space and layer’s thickness h using construction of correlation function (matrix) of wideband synthetic sound signal radiated by the moving source and imitating shipping noise. This work's motivation was experiment carried out by authors in shallow water. Combination of two vertical line arrays acts as a diffraction grating with 2N hydrophones that uses interference pattern in vertical and horizontal directions and gives more information than one-dimensional array or single receiver. Our waveguide model constitutes water layer above low-speed thin layer (c ;2 ≪ c, h is about a few meters) and half space (c ;b &amp;gt; c). In this waveguide there are two sorts of modes: in dependence on frequency and thickness of sediment’s layer– modes with vertical dependence distributed in water layer and modes trapped in the near bottom layer. It is shown that correlation function constructed in coordinates (phase speed, frequency) allows us to retrieve dispersion curves and to estimate critical frequencies—determining creation of trapped modes, which in turn give parameters of layered bottom. [Work was supported by ISF, Grant No. 946/20.]

확장된 목표지향적 행동모형을 적용한 e스포츠 팬 시청의도 영향 요인 분석

This study was conducted to explore the factors influencing the intention to watch esports leagues among fans. The aim was to identify marketing factors for esports leagues and enhance the sustainability of the esports league. The study targeted adult fans who had experience watching Korean esports leagues. 349 datasets for the final analysis. Data collection and analysis were performed using SPSS 24 and AMOS 22 for Windows, and the methods included frequency analysis, confirmatory factor analysis, correlation analysis, and structural equation path model analysis. The results of the study are as follows. First, attitude, subjective norms, perceived behavioral control, and frequency of past esports experiences had a significant impact on desire. Second, positive and negative anticipated emotions did not have a significant impact on desire. Third, perceived behavioral control, frequency of past esports experiences, and desire significantly influenced viewing intention. This study is significant in that it identified factors that can enhance esports league viewership, improving the sustainability of esports.

Effect of adolescents’ cognitive and emotional empathy and altruistic behavior on psychological well-being

Objectives: This study sought to determine the mediating effect of altruism behavior in the relationship between cognitive and emotional empathy of adolescents affecting psychological well-being. In order to improve adolescents’ psychological well-being, which is a time when they experience rapid changes emotionally and physically, useful information on factors that affect psychological well-being can be provided.Methods: The subjects of the study were 282 teenagers aged 16 to 18 living across the country (136 men and 146 women) through online survey companies. Adolescents responded to questions on empathy, altruism, and psychological well-being. The collected data used Pearson's right-rate correlation analysis and structural equation models using SPSS 22.0 and AMOS 23.0 programs. After that, the statistical significance of the mediating effect was confirmed using the direct and indirect effect verification and bootstrapping method between variables.Results: The main findings are as follows. First, analysis of the correlation between research variables revealed a static correlation between emotional empathy and altruism behavior, altruism behavior and cognitive empathy, and psychological well-being and altruism. Next, as a result of examining the structural path between research variables, cognitive empathy and emotional empathy showed a significant correlation with altruistic behavior, and altruistic behavior showed a significant correlation with psychological wellbeing. Finally, cognitive empathy and emotional empathy influenced psychological well-being through altruistic behavior.Conclusion: Adolescents’ cognitive and emotional empathy affect psychological well-being through altruistic behavior. These results indicate that both cognitive and emotional empathy are not only helpful to others, but also play an important role in one’s own psychological adaptation and well-being. Adolescents not only express sympathy and empathy, but also pay attention to others’ feelings, which can become a factor that can actually lead to actions for others; furthermore, such actions can improve the happiness of individual adolescents. These findings revealed efforts to understand and sympathize with others is meaningful to enhance the happiness of ordinary adolescents in public education sites where competition is overheated, and happiness is reduced.

Pollution Source Apportionment of Heavy Metals in Cultivated Soil Around a Red Mud Yard Based on APCS-MLR and PMF Models

In order to explore the characteristics and sources of heavy metal pollution in cultivated soil around a red mud yard in Chongqing， the content and spatial distribution characteristics of eight heavy metal elements （Cd， Cr， Hg， Ni， Pb， As， Cu， and Zn） in the soil were analyzed， and the single factor pollution index method and Nemerow comprehensive pollution index method were used to evaluate the characteristics of heavy metal pollution in soil. On the basis of correlation analysis， the APCS-MLR and PMF models were used to quantitatively analyze the sources of heavy metals. The results showed that the average contents of the other seven heavy metal elements were higher than the background values of Chongqing soil， except for that of Cr. The heavy metals Cd， Hg， and As were moderately polluted， and Pb， Cu， Ni， and Zn were mildly polluted. The spatial distribution pattern of Cr， Ni， Pb， Cu， and Zn in the soil was similar， and there was a very significant positive correlation between them （P &lt; 0.01）. The spatial distribution characteristics of Cd， Hg， and As were significantly different， and there was no significant correlation between them （P &gt; 0.05）. The source apportionment showed that the sources of heavy metals in the soil in the study area were relatively complex， and the APCS-MLR and PMF models could identify the same four pollution sources， namely red mud yard percolation emission and natural sources， thermal power generation emission sources， agricultural activities and natural sources， and non-ferrous metal smelting emission sources. There was little difference in the results of source apportionment between the two models. The contribution rates of the four pollution sources in the APCS-MLR model were 51.8%， 18.0%， 15.9%， and 14.3%， respectively， whereas those in the PMF model were 45.9%， 12.8%， 21.5%， and 19.8%， respectively.

Research on the Sales Distribution Law of Vegetable Products Based on Linear Fitting

Firstly, the hourly sales volume changes of vegetable categories and individual products are analyzed from the time dimension, and frequency distribution histograms are used to describe the distribution patterns of vegetable categories and individual product sales volume. Then, Spearman correlation analysis is used to obtain the distribution patterns of individual product sales volume, and linear fitting is used to compare and analyze the continuous sales volume of the six major categories for three years using a bar chart, From the demand side perspective, there is often a certain correlation between the sales volume of vegetable products and time. This article analyzes the relationship between vegetable categories and individual product sales volume from the time dimension. At the same time, based on the distribution patterns of the six major categories, Spearman correlation analysis was used to obtain the distribution patterns of individual product sales volume. Linear fitting was performed, and the continuous sales volume of the six categories for three years was compared and analyzed using a bar chart to obtain the general monthly and seasonal patterns of vegetable sales. Then, descriptive statistical analysis is used to analyze the distribution patterns of vegetable categories and single item sales volume, and the correlation relationships between different categories or single items of vegetable products are obtained. Finally, a grey correlation analysis model is established to predict the distribution patterns and interrelationships of vegetable categories and single item sales volume based on this model.

An investigation of the effects of meteorological factors on the incidence of tuberculosis

To explore the influence of meteorological factors on the incidence of tuberculosis (TB) in Yingjisha County, Kashgar Region, Xinjiang, and to provide a scientific basis for the prevention and control of TB. The Spearman correlation analysis and distribution lag nonlinear model analysis were conducted on the number of daily reported cases of TB from 2016 to 2023 to study the association effect of various meteorological factors and the daily incidence number of TB in Yingjisha County. A total of 13,288 TB cases were reported from January 2016 to June 2023, and June to October is the peak period of annual TB incidence. Spearman correlation analysis revealed that average daily temperature (AT) and average daily wind speed (WS) were positively correlated with TB incidence (rAT = 0.110, rWS = 0.090); and average daily relative humidity (RH) and TB incidence was negatively correlated (rRH = − 0.093). When AT was − 15 °C, the RR reached a maximum of 2.20 (95% CI: 0.77–6.29) at a lag of 21 days. When RH was 92%, the RR reached a maximum of 1.05 (95% CI: 0.92–1.19) at a lag of 6 days. When WS was 5.2 m/s, the RR reached a maximum of 1.30 (95% CI: 0.78–2.16) at a lag of 16 days. There is a non-linearity and a certain lag between meteorological factors and the occurrence and prevalence of TB in the population, which is mainly manifested in the fact that the risk of incidence of TB decreases with the increase of the daily AT, has a hazardous effect within a certain range of humidity as the average daily RH rises, and gradually increases with the increase of the average daily WS. Local residents are advised to pay attention to climate change so as to take appropriate preventive measures, especially women and middle and old age group should pay close attention to climate change and add more clothes in time, minimise travelling in hazy weather and windy and sandy weather, maintain good nutrition, adequate sleep and moderate exercise in daily life to enhance their immunity, wash hands frequently and ventilate the air, and try to avoid staying in humid and confined spaces in order to reduce the risk of latent TB patients developing the disease.

The Effects of Working Capital Management on Firms’ Efficiency: Case of Turkish and Zimbabwean Commercial Banks.

This research studies management of working capital and its impact on commercial bank efficiency in Zimbabwe and Turkey. The study examined the financial statements of 10 banks from each country between 2009 and 2022. The research evaluated performance of banks using return on asset (ROA) as well as return on equity (ROE) as efficiency indicators. Working capital was assessed through the current ratio, current ratio, and total cash ratio, while bank size and leverage were considered as control variables. Correlation analysis, estimation equations, and regression models were used to examine the data, which included pooled cross-sectional and time series data, using SPSS (version 20.0). The data demonstrated a favourable and substantial association between ROE and the current ratio, demonstrating that adequate management of working capital has a beneficial impact on the banks’ profitability. A negative correlation, in contrast, between current ratio and ROE was noted, implying a balance of profitability and liquidity. Furthermore, no statistically significant association was seen between cash payment ability, total cash ratio, and ROA. However, a significant negative correlation was identified between the current ratio and ROA. Comparing the two countries, Turkish banks demonstrate superior liquidity management, potentially attributed to their adherence to the Basel III reform guidelines. The study recommends that Zimbabwean banks adopt similar measures to enhance their competitiveness in the international banking sector. In conclusion, the research emphasises the significance of good management of working capital in maximising bank efficiency. The findings provide valuable insights for policymakers and practitioners in the banking industry, urging them to implement liquidity management strategies for sustained success.

Price And Replenishment of Vegetables Based on NARX Neural Network

The research on the replenishment and pricing of vegetable commodities is helpful for supermarket to make more scientific purchase and sale decisions. Based on this, this paper mainly uses NARX neural network to study the replenishment and pricing of vegetable commodities. Firstly, it preprocesses the missing and abnormal values of the data, constructs a correlation analysis model to study the relationship between the sales of various categories of vegetables, then establishes a NARX neural network model to solve the daily replenishment total, and finally constructs a single objective programming model to get the pricing strategy, which provides a theoretical basis for supermarket to make scientific pricing and replenishment decisions.

Three-dimensional choroidal vascularity index and choroidal thickness in fellow eyes of acute and chronic primary angle-closure using swept-source optical coherence tomography.

To compare the three-dimensional choroidal vascularity index (CVI) and choroidal thickness between fellow eyes of acute primary angle-closure (F-APAC) and chronic primary angle-closure glaucoma (F-CPACG) and the eyes of normal controls. This study included 37 patients with unilateral APAC, 37 with asymmetric CPACG without prior treatment, and 36 healthy participants. Using swept-source optical coherence tomography (SS-OCT), the macular and peripapillary choroidal thickness and three-dimensional CVI were measured and compared globally and sectorally. Pearson's correlation analysis and multivariate regression models were used to evaluate choroidal thickness or CVI with related factors. The mean subfoveal CVIs were 0.35±0.10, 0.33±0.09, and 0.29±0.04, and the mean subfoveal choroidal thickness were 315.62±52.92, 306.22±59.29, and 262.69±45.55 µm in the F-APAC, F-CPACG, and normal groups, respectively. All macular sectors showed significantly higher CVIs and choroidal thickness in the F-APAC and F-CPACG eyes than in the normal eyes (P<0.05), while there were no significant differences between the F-APAC and F-CPACG eyes. In the peripapillary region, the mean overall CVIs were 0.21±0.08, 0.20±0.08, and 0.19±0.05, and the mean overall choroidal thickness were 180.45±54.18, 174.82±50.67, and 176.18±37.94 µm in the F-APAC, F-CPACG, and normal groups, respectively. There were no significant differences between any of the two groups in all peripapillary sectors. Younger age, shorter axial length, and the F-APAC or F-CPACG diagnosis were significantly associated with higher subfoveal CVI and thicker subfoveal choroidal thickness (P<0.05). The fellow eyes of unilateral APAC or asymmetric CPACG have higher macular CVI and choroidal thickness than those of the normal controls. Neither CVI nor choroidal thickness can distinguish between eyes predisposed to APAC or CPACG. A thicker choroid with a higher vascular volume may play a role in the pathogenesis of primary angle-closure glaucoma.

Elevated CO2 and nitrogen addition enhance the symbiosis and functions of rhizosphere microorganisms under cadmium exposure

Soil microbes are fundamental to ecosystem health and productivity. How soil microbial communities are influenced by elevated atmospheric carbon dioxide (eCO2) concentration and nitrogen (N) deposition under heavy metal pollution remains uncertain, despite global exposure of terrestrial ecosystems to eCO2, high N deposition and heavy metal stress. Here, we conducted a four year's open-top chamber experiment to assess the effects of soil cadmium (Cd) treatment (10 kg hm−2 year−1) alone and combined treatments of Cd with eCO2 concentration (700 ppm) and/or N addition (100 kg hm−2 year−1) on tree growth and rhizosphere microbial community. Relative to Cd treatment alone, eCO2 concentration in Cd contaminated soil increased the complexity of microbial networks, including the number links, average degree and positive/negative ratios. The combined effect of eCO2 and N addition in Cd contaminated soil not only increased the complexity of microbial networks, but also enhanced the abundance of microbial urealysis related UreC and nitrifying related amoA1 and amoA2, and the richness of arbuscular mycorrhiza fungi (AMF), thereby improving the symbiotic functions between microorganisms and plants. Results from correlation analysis and structural equation model (SEM) further demonstrated that eCO2 concentration and N addition acted on functions and networks differently. Elevated CO2 positively regulated microbial networks and functions through phosphorus (P) and Cd concentration in roots, while N addition affected microbial functions through soil available N and soil organic carbon (SOC) concentration and microbial network through soil Cd concentration. Overall, our findings highlight that eCO2 concentration and N addition make microbial communities towards ecosystem health that may mitigate Cd stress, and provide new insights into the microbiology supporting phytoremediation for Cd contaminated sites in current and future global change scenarios.

The influence of control beliefs on the cardiovascular fitness of college students: the chain mediating effect of subjective exercise experience and exercise adherence

PurposeLack of adequate physical exercise is the main reason for the frequent occurrence of health problems among Chinese college students. The purpose of this study is to explore the effects of control beliefs on cardiovascular fitness among college students and the mediating role of subjective exercise experience and exercise adherence in it.MethodsThe Control Belief Scale, the Subjective Exercise Experience Scale (SEES), and the Exercise Adherence Scale were used to investigate 1854 freshmen and sophomores in Nantong and Suzhou, China. Cardiovascular fitness data for college students from the National Student Physical Health Standard and SPSS 23.0 statistical analysis software were used to carry out statistics and analyses on the questionnaires. Correlation analysis, regression analysis, and mediation models were used to assess control beliefs, subjective exercise experiences, exercise adherence, and cardiovascular fitness.ResultsThe control belief of college students was directly related to cardiovascular fitness (effect value: 0.121), the mediating effect through subjective exercise experience was not significant, indirectly related through the mediating effect of exercise adherence (effect value: 0.101), and indirectly related through the mediating effect of subjective exercise experience and exercise adherence (effect value: 0. 019). The positive prediction effect of control belief on cardiovascular fitness of college students was significant (β = 0.267, P < 0.001), and the positive prediction effect of control belief on cardiovascular fitness of college students was still significant (β = 0.121, P < 0.01) after adding the intermediary variables (subjective exercise experience and exercise adherence).ConclusionsThe cardiovascular fitness of college students was not only directly affected by control beliefs but also affected by the chain mediating effect of subjective exercise experience and exercise adherence. Therefore, it is necessary to improve the control beliefs, subjective exercise experiences, and exercise adherence of college students to improve their cardiovascular fitness level and enhance their physical health.

E-commerce Live Streaming Interaction Quality, Immersion Experience and Consumer Purchase Intention

Abstract With the rapid development of the digital economy, the wave of e-commerce live broadcasting has swept all walks of life and become the new force of online shopping. Based on the S-O-R model, this paper establishes a theoretical model affecting consumers’ purchase intention. It puts forward relevant research hypotheses from the dimensions of seller-consumer interaction, anchor-consumer interaction, and consumer-to-consumer interaction of e-commerce live broadcast interaction. Then, effective sample data are collected through the questionnaire survey method, and multiple regression analysis and correlation analysis models are used to explore the interrelationship between interactive quality, immersion experience, and consumers’ purchase intention in e-commerce live broadcasting. The analysis shows that the interactive quality, perceived usefulness, responsiveness, and mutual assistance of e-commerce live broadcast positively affect consumers’ immersion experience and purchase intention (Sig. &lt;0.05), consumers’ immersion experience has a positive and significant effect on purchase intention (Sig. &lt;0.05), and immersion experience has an important mediating role between perceived usefulness, mutual assistance, and purchase intention. This paper centers on the interactive quality and immersion experience. It puts forward corresponding enhancement suggestions for live e-commerce, which provides a basis for the development of marketing strategies for live merchants and has certain theoretical significance and practical significance.

The Chinese Integration and Application of Marxism in the Context of Digital Intelligence

Abstract This paper aims to explore the integration of Marxism and Chinese-style modernization and its practical application in the context of the digital intelligence era. Through theoretical Analysis and empirical research, a system for assessing development of Marxist Chinese-style modernization has been established. The study finds that Marxism’s multiple characteristics, such as political, scientific, people’s, practical, developmental, and revolutionary, provide theoretical support for Chinese-style modernization. This paper uses grey correlation analysis and multiple linear regression models to evaluate the modernization development of 31 provinces, municipalities, and autonomous regions in China during 2010-2019. The study results show that the Marxist Chinese-style modernization index has grown from 0.164 in 2010 to 0.731 in 2020, with an average annual growth rate of 34.57%. The index significantly impacts the quality of the regional economy, cultural industry, and ecological environment. The study shows that the application of Marxism in China accelerates economic development and promotes the governance of cultural industry and ecological environment, which provides impetus for the construction of socialist modernization with Chinese characteristics.