How does social security affect people’s subjective wellbeing in China? A chain mediation model

We utilize data from 2017CSS to explore factors related to people’s subjective wellbeing (SWB). Employing statistical analysis software, we test the chain mediation effect among social security, social fairness, social trust, and SWB. The results show that social security has a direct positive effect on people’s SWB (β = 0.481, p <0.001). Social security also indirectly influences people’s SWB through social fairness and social trust. High quality of social security can enhance the degree of social fairness thereby increasing the level of social trust, finally contributing to higher levels of SWB in China. The total effect of SWB explained is 49% in the chain mediation model. Based on the results, contributions and limitations are discussed in this paper.

Stock price analysis based on the research of multiple linear regression macroeconomic variables

The article uses SPSS statistical analysis software to establish a multiple linear regression model of short-term stock price changes of domestic agricultural listed companies. The article uses a stable time series based on the ARMA model for stable agricultural value-added, fiscal expenditure and market interest rates. The regression method is used to study its impact on the stock price index. Compared with the existing stock forecasting methods, this method has simple data collection and no specific requirements for data selection, and the prediction results have a high degree of fit. Therefore, this method is suitable for most stocks.

THE METHODOLOGY OF APPLYING THE “DATA VOLLEY” PROGRAMME OF STATISTICAL ANALYSIS WITHIN VOLLEYBALL SPORTS COMPETITIONS

In volleyball as in other sports games, the statistical analysis of the competition is considered to be an important means of diagnosing performance in order to determine parameters for targeting the training process, ideas and strategies during competitions. In recent years, the volleyball game has become more and more dynamic, being characterized by the variety of game phases and the speed at which they alternate during competitions. As a result, the game has become increasingly difficult to follow, without having available new technological methods to help the coach track the multitude of game actions for each player or the entire team. At the international level, there are several performance evaluation methodologies, but in Romania, at senior level there are not many such methods of analysis and evaluation that give us complete and objective statistics on performance. At the moment, a very effective methodology from our point of view, which can be applied in the practice of volleyball, is the „Data Volley‟ statistical analysis. This program of evaluating performance is a very complex one and offers us many opportunities. Thus, in this paper, we propose the application of this statistical analysis software in the official competitions of the volleyball game, at senior level.

Super-Resolution Imaging Approaches for Quantifying F-Actin in Immune Cells

Immune cells comprise a diverse set of cells that undergo a complex array of biological processes that must be tightly regulated. A key component of cellular machinery that achieves this is the cytoskeleton. Therefore, imaging and quantitatively describing the architecture and dynamics of the cytoskeleton is an important research goal. Optical microscopy is well suited to this task. Here, we review the latest in the state-of-the-art methodology for labeling the cytoskeleton, fluorescence microscopy hardware suitable for such imaging and quantitative statistical analysis software applicable to describing cytoskeletal structures. We also highlight ongoing challenges and areas for future development.

Factors Associated with the Onset of Ovarian Activity of Cattle Commonly Reared in the Huasteca Veracruzana, Mexico

Objective: To identify the factors that affect the onset of ovarian activity in prepuberal heifers in the Huasteca Veracruzana of Mexico.Design/Methodology/Approach: Samples were taken from animal production units of the municipality of Tantoyuca, Veracruz. The onset of ovarian activity was determined by the presence of ovarian follicles andncorpus luteum by ultrasonography technique. Zoometric indices and body condition were calculated at them same time, and the zootechnical practices that were applied to the animals in the last six months before thesampling day were registered. A survey was applied to characterize the management of animal productionunits; the main topics in the survey were: health, reproduction, nutrition, and suckling. All animals available within selection criteria in the production units were sampled. A multiple linear regression (Statistical Analysis Software Version 9.4) and cluster analysis (R Studio Version 1.1.419) were used to identify the main categorical variables that affected the model.Results: The onset of ovarian activity depends mainly on the anatomical development of the heifers. The biostimulation (male effect) on the heifers has an important effect on reducing the age at puberty.Study Limitations/Implications: The study was developed during a long drought period in the region.Findings/Conclusions: The genetic mosaic of the evaluated animals in the production units did not affect the onset of ovarian activity of the heifers; however crossbred heifers (Bos taurus ? Bos indicus) begin the ovarian activity younger.

Discriminant Analysis: Impact of the Number of Repetitions on the Effectiveness of Teaching Boys Aged 7 Throwing a Small Ball

The aim of the study was to determine the impact of the number of repetitions on the effectiveness of teaching boys aged 7 throwing a small ball. Materials and methods. The study participants were 27 boys aged 7, who were randomly divided into three groups of 9 people each. The children and their parents were informed about all the features of the study and gave their consent to participate in the experiment. The study examined the impact of the number of repetitions on the effectiveness of teaching boys aged 7 throwing a small ball at a target. A pedagogical experiment studied the impact of 6, 12, and 18 repetitions with a 60-second rest interval on the increase in the level of proficiency in exercises of boys aged 7. In the first group, the boys repeated the task 6 times with a rest interval of 60 s, in the second group – 12 times with a rest interval of 60 s, in the third group 18 times with a rest interval of 60 s. When teaching throwing exercises during the class, the study assessed the level of proficiency by the alternative method (“performed”, “failed”) and calculated the probability of exercise performance (p = n/m, where n is the number of successful attempts, m is the total number of attempts). In teaching boys aged 7, the method of algorithmic instructions was used. The next exercise started after three successful attempts. Throwing a ball at a vertical target was taught. The study materials were processed by the IBM SPSS 20 statistical analysis software. During discriminant analysis, a prognostic model for group membership was created. Results. Discriminant analysis made it possible to determine the impact of the number of repetitions on the effectiveness of developing the skills of throwing a small ball at a target; to answer the question as to how significantly the modes of repetition differ by the effectiveness of motor skills development, to which class the object belongs based on the values of discriminant variables. Conclusions. Based on the analysis of group centroids, it was found that 12 repetitions of the exercise (6 sets 2 time each with a rest interval of 60 s) significantly influence the increase in the level of proficiency in physical education classes. The results of group classification show that 94.4% of the original grouped observations were classified correctly.

A database development and analysis of selected side impact collisions in Toronto

This thesis is based on the initial phase of a project that developed an in-depth collision database and performed an analysis of police reported side-impact collisions for the City of Toronto intersections between 1998 and 2000. Currently, collision data exists through several different sources in Ontario. The development of a database involving the amalgamation of collision forms, the selection of data fields, and the collection of real collision data from selected, thoroughly investigated side impact collisions involving late model vehicles (1998 and newer), is described. For analysis, Statistical Analysis Software Release 8.02 was used to investigate causation and causal factors of side impact collisions. Statistically significant collision factors determined by fault propensity included apparent driver action, driver age, front seat passenger age, maximum posted speed, approximate vehicle speed, road character, and number of lanes. For intersection collision propensity, statistically significant findings included the system used, presence of flashing signals, intersection legs, roadway volume, and intersection leg road classifications. It is anticipated that the findings from this analysis can provide insight into significant factors in side-impact collisions that will be applied with greater focus to the in-depth collision database, once developed. Traffic accidents

A database development and analysis of selected side impact collisions in Toronto

This thesis is based on the initial phase of a project that developed an in-depth collision database and performed an analysis of police reported side-impact collisions for the City of Toronto intersections between 1998 and 2000. Currently, collision data exists through several different sources in Ontario. The development of a database involving the amalgamation of collision forms, the selection of data fields, and the collection of real collision data from selected, thoroughly investigated side impact collisions involving late model vehicles (1998 and newer), is described. For analysis, Statistical Analysis Software Release 8.02 was used to investigate causation and causal factors of side impact collisions. Statistically significant collision factors determined by fault propensity included apparent driver action, driver age, front seat passenger age, maximum posted speed, approximate vehicle speed, road character, and number of lanes. For intersection collision propensity, statistically significant findings included the system used, presence of flashing signals, intersection legs, roadway volume, and intersection leg road classifications. It is anticipated that the findings from this analysis can provide insight into significant factors in side-impact collisions that will be applied with greater focus to the in-depth collision database, once developed. Traffic accidents

ASSOCIATION OF CORPORATE GOVERNANCE AND TAX COMPLIANCE OF INDONESIA STATE-OWNED ENTERPRISES

This study aims to explore the association of SOE monitoring and corporate governance variables and the tax compliance of Indonesian State-Owned Enterprises (SOEs). The samples of this study are SOEs in 2009-2018 listed on the official website of the Ministry of SOEs that have all required data. The data is analyzed using ordinary least square to test the hypothesis with STATA statistical analysis software. The results show that SOEs that receive PSO (Public Service Obligation) and listed on the stock exchange are more tax compliant compared to others. However, the study found no evidence that the governance structure of SOEs affects tax compliance. The data shows that most SOEs still do not have governance structure that comply the regulations. The findings imply that external monitoring received by PSO recipients and listed SOEs improve SOEs tax compliance. Moreover, the findings also imply that SOEs’ corporate governance structure is only a formality and does not take its functions seriously.