Factor Analysis Method Research Articles

Assessment of the impact of ethnic minorities’ capacity in Binh Dinh province, Vietnam, to access land and exercise land use rights by application of linear structure model (PLS-SEM)

Abstract The study aimed to evaluate the impact of ethnic minority people’s capacity on land access and exercise of land use rights. The research model and hypotheses were tested using exploratory factor analysis (EFA) and PLS-SEM methods with 70 preliminary quantitative survey samples and 273 official quantitative survey samples of ethnic minorities. The research results revealed that strengthening the capacity of ethnic minorities is the key to improving their effectiveness in accessing land and exercising land use rights. The research findings demonstrate a robust and affirmative correlation between the capacity of ethnic minorities to acquire land access and the implementation of land use rights (βCO→LA = 0.325; βCO→LUR = 0.736; estimated path coefficients close to +1 represent strong positive relationships). The research model attains a significance level of 1% (tCO→LA = 8.412; tCO→LUR = 42.643). The outcomes of this research can serve as a foundation for the People’s Committee of Binh Dinh Province, Committee for Ethnic Minority, to further establish policies, support programs, and training to enhance the capacity of ethnic minorities, and to provide guidance on improving the effectiveness of land access and exercise of land use rights for this community.

THE INFLUENCE OF CRITICAL RISKS ON THE MECHANISM OF DEFENCE RESOURCE MANAGEMENT

The continuation of warfare in the territory of the country causes many economic, environmental and social problems. That is why it is important to study the influence of critical risks on the mechanism of managing defence resources, which the state’s ability to withstand in difficult times and to ensure the protection of state borders depends on. The main purpose of the paper is the evaluation of scientific and practical principles of determination and analysis of critical risks in the defence industry.Subject to the foregoing, the paper investigates the main scientists’ approaches to the definition and classification of critical risks, which affect the mechanism of defence resource management. It also provides a multiple-factor analysis of critical risks, which affect the mechanism of defence resource management. An effective system for managing critical risks that affect the mechanism of defence resource management was developed in the work. It gives recommendations aimed at reducing the degree of influence of critical risks on the mechanism of defence resource management.The study uses general and special methods of scientific research, in particular, the method of scientific abstraction to timely find and use in practice the indicators of evaluation of critical risks and effective methods of their reduction; the methods of comparative and structural factor analysis to evaluate the indicators under study; the method of logical generalization to provide directions and recommendations for reducing the influence of critical risks on the defence resource management system.The paper is the first to comprehensively analyze the influence of critical risks on the mechanism of defence resource management. The authors highlighted the concepts of responding to critical risks that influence the mechanism. The practical importance of the paper is that the introduction of an effective critical risk management system will allow improving the efficiency of this mechanism.

Investigating occupational accidents based on the Human Factors Analysis and System Classification (HFACS) method: a case study in an industrial and mining company

Background and aims: Human errors are a significant issue in various work environments, including industry and mining. This study aims to investigate occupational accidents in a large industrial-mining company based on the human factors analysis and classification system (HFACS) method. Materials and methods: The study conducted a retrospective longitudinal analysis of 253 mining industrial accidents from 2011-2019 using the Human Factors Analysis and Classification System (HFACS). Descriptive statistics, such as frequency and percentage of subgroups at each level, were calculated using the HFACS method and SPSS software. Results: The type of accident that occurred was related to throwing/collision or contact with a foreign object, which resulted in a total of 232 injured people and one dead person. Statistical analysis showed no significant link between the accident type and the educational levels of those involved, as indicated by a P-value greater than 0.05.Still, it showed a significant relationship with three other demographic variables: age, marital status, and work experience (P-Value˂0.05). The highest frequency and percentage of the causes of accidents were also due to organizational effects and unsafe practices. Discussion and conclusion:. The study found that the frequency of human errors in the levels of unsafe supervision and unsafe practices significantly contributed to the occurrence of occupational accidents in the company. Analyzing accidents and understanding the relationship between causal factors at the four levels of the HFACS method is vital for implementing effective strategies to reduce accidents.

Современная парадигма пенсионного обеспечения в Европе

Introduction. Pension systems are a key element of social protection for the elderly. They are designed to provide senior citizens with stable income not from work. However, pension systems currently being developed in Europe are increasingly exposing the working-age population to the risk of poverty in old age. The European pension paradigm strives for an adequate level of pension payments and builds financial protection against poverty, while the future evolution of wages and prices remains unknown for Europe as a whole.Methods. Scientific research is based on general and special methods of scientific cognition. In the process of forming the concept of the scientific article, modern scientific methods of studying economic and social phenomena were used, including methods of system-structural, functional, factorial and comparative analysis, as well as categorical, logical and structural analysis and synthesis, detailing and generalization, grouping and comparison, identification of cause-and-effect relationships. The authors proceed from an understanding of the scientific hypothesis of reforming the pension system, which ensures long-term investment by the working-age population with income in the future. The empirical base of the study was made up of current data from cross-country comparative studies of Europe in terms of typology of state pension systems.Results. Based on the functional method of cognition, the authors of the scientific article systematize the main types of state pension systems of the European Union, representing the complex content of the indicator value of pension payments. It is noted that in the context of reforming the pension systems of the European Union countries, the reorganization of the functional and ideological components of pension provision, aimed at protecting consumers of pension savings, makes it possible to increase the socio-economic standard of living. Although EU pension systems differ in many respects, they all have one common problem - finding ways to maintain the financial sustainability of the budgetary system while paying pensions in the long term against the backdrop of an aging population and the problem of increasing the ratio of pensioners to the working-age population.

ANALYSIS OF AGRICULTURAL DEVELOPMENT IN GUANGXI UNDER THE BACKGROUND OF RURAL REVITALIZATION

Chinese economy is undergoing a transformation towards high-quality development. As the foundation of the national economy, agriculture must also adapt to the trend of social and economic development, transform its development mode, and transform towards high-quality agricultural development. The implementation of the rural revitalization strategy must be supported by high-quality agriculture; In the context of rural revitalization, we should focus on the new forms and new connotations of high-quality agricultural development. By establishing an agricultural development quality evaluation index system with 13 indicators from 5 dimensions, including economic benefits, comprehensive production capacity, social services, coordinated development, and sustainable development, we can use the comprehensive index evaluation system to analyze the current situation of agricultural development quality in Guangxi and identify the shortcomings and deficiencies that constrain high-quality agricultural development. The research results of comprehensive indicator evaluation and comparative analysis based on factor analysis method indicate that the overall level of agricultural development quality in Guangxi needs to be improved, with problems such as slow development and improvement speed, common shortcomings that restrict development, relative dispersion of agricultural leading enterprises, and insufficient utilization of agglomeration effect advantages. Based on this, it is proposed to promote the development of agriculture in Guangxi towards branding and intensive scale, cultivate diversified agricultural management entities, improve the agricultural production guarantee system, and accelerate the development of agriculture towards green direction.

Quench sensitivity and transformation kinetics of high vacuum die casting AlSi10MgMn alloy

AlSi10MgMn alloy high vacuum die castings are being widely used in automotives. T6 heat treatment can increase the casting mechanical properties. In this study, the time-temperature-transformation (TTT) and time-temperature-property (TTP) curves of high vacuum die casting (HVDC) AlSi10MgMn alloy were measured by interrupted quenching method, and the quench sensitivity range of the alloy was obtained. Based on the results, the quench factor analysis (QFA) method was used to predict the mechanical properties of alloy at different cooling rates. The microstructure transformation of the alloy during isothermal process was analyzed by phase transformation kinetics. The results show that the quench sensitivity range is 295–445°C with the nose temperature of 370°C. The phase transformation rate of the alloy at 460°C is higher than that at 280°C based on the results of phase transformation kinetics. The rod-shaped β-Mg2Si phases precipitate during the isothermal process and grow up with the extension of holding time, which Reduce the density of the fine age-induced precipitates β '' and increase the size of precipitate free zones (PFZ) after the followed aging treatment. The critical cooling rate of the alloy should be higher than 7.7°C /s to obtain good comprehensive mechanical properties.

The Impact of Social Media and Emotional Intelligence on Investment Decision: A Fuzzy Set Delphi Study Among Investors in Thailand's Stock Market

The economic condition of Thailand and the rate of return observed on the stock exchange of Thailand (SET) surpasses the profits generated through savings. This has resulted in SET gaining popularity among individuals seeking a substantial rate of return. Understanding the elements investors consider when investing in Thailand's stock exchange is crucial due to its increasing popularity. This research utilizes a second-order confirmatory factor analysis (CFA) method to examine the impact of social media and emotional intelligence on investors' investment decisions in Thailand's stock market. The research method employed a combination of qualitative and quantitative data collection and analysis. Step 1 involved qualitative research utilizing the e-fuzzy set Delphi technique, which entailed sending an online questionnaire to 19 experts. The questionnaire included both open-ended and closed-ended questions on a 7-point scale. Step 2 involved conducting quantitative research using simple random sampling. To gather information from investors in SET, 600 investors were surveyed. It was found that emotional intelligence, social media, risk perception, and financial literacy influence investors’ investment decisions in SET, respectively. This research will provide new insights into the impact of social media and emotional intelligence on investors' decision-making in Thailand's stock market.

Women Empowerment in Sustainable Tourism Development in Tenganan Pegringsingan Tourism Village, Karangasem, Bali

This research was conducted with the aim of identifying the dimensions of empowerment, especially in the Tenganan Pegringsingan Tourism Village and to see the relationship between the dimensions of women's empowerment and the elements of sustainable tourism destination development according to Tourism and Creative Economy Ministerial Regulation Number 9 of 2021 concerning guidelines for developing sustainable tourism destinations. The exploratory factor analysis method was used to analyze the data that had been collected using a purposive sampling technique with a total of 140 samples. The results of the research show that 7 (seven) new dimensions have been formed that can describe women's empowerment in Tenganan Pegringsingan Village. The seven dimensions formed have fulfilled the elements that can support the realization of a sustainable tourism destination in the Tenganan Pegringsingan Tourism Village in accordance with the guidelines for developing sustainable tourism destinations.

Multivariate analysis of psychological health among hospital infection prevention and control practitioners in Tianjin

Objective: To understand the occupational stress and mental health status of hospital infection prevention and control practitioner (HIPCPs) in medical institutions, and analyze their main influencing factors. Methods: In November 2021, 550 nosocomial infection managers in Tianjin were randomly selected to conduct a questionnaire survey using the Concise Occupational Stress Questionnaire, Depression Screening Scale (PHQ-9) and Self-Rating Anxiety Scale (SAS). 497 valid questionnaires were obtained, and the total recovery efficiency was 90.36%. Single factor analysis and multivariate logistic regression method were used to analyze the main influencing factors of occupational stress and mental health status of psychiatric managers. Results: The detection rate of anxiety and depression among 497 HIPCPs was 22.73% (113/497) and 58.95% (293/497), respectively. Gender and major were the influencing factors of depression (P=0.000, 0.001). Average working hours>52 hours per week and night shift days>1 days per week were the influencing factors of anxiety (P=0.035, 0.014). Average working hours>52 h per week, night shift days >1 d per week and different majors were the influencing factors of occupational stress (P=0.000, 0.025, 0.010). Multivariate logistic regression results showed that the risk of anxiety in those who worked more than 52 hours per week was 1.753 times that of those who worked less than 52 hours per week (P=0.038), and the risk of depression in women was 3.071 times that of men (P=0.006) . Conclusion: Working hours are an important influencing factor for occupational stress and anxiety among HIPCPs. In order to reduce the occurrence of occupational stress and mental health problems, it is necessary to strengthen psychological counseling for HIPCPs and balance work and rest.

Sensitivity Analysis of Injection Mass Flow to the Inlet Orifice Radius of a GDI Injector Nozzle

It is more difficult to accurately control the cycle fuel mass of a gasoline engine as the injection pressure increases, and the difference in the injection mass flow will become intense due to the machining error of GDI injector structural parameters. In order to guarantee the uniform cycle fuel mass of the GDI injector, this paper investigates the effect of the inlet orifice on the injection mass flow and the sensitivity of inner-flow characteristics in the GDI injector nozzle to the inlet orifice radius by the single factor analysis method. The results show that the local resistance of the injector nozzle will decrease and the discharge coefficient will rise due to the increase in the inlet orifice radius; the sensitivity of cycle fuel mass to the inlet orifice radius is most strong at r = 0.02 mm, and its accuracy should be improved when grinding the chamfer of the nozzle inlet; the sensitivity coefficient of the inlet orifice radius will rise up, and the machining accuracy of the inlet orifice radius should be improved as there is an increase in injection pressure.

Investment value analysis of listed steel industry companies on the main board based on factor analysis method

Investment value analysis of listed steel industry companies on the main board based on factor analysis method

Altered states of consciousness in Danish healthy volunteers and recreational users of psilocybin and the possible impact of setting and intention: Danish validation of the five-dimensional altered states of consciousness questionnaire.

Psychedelic substances reliably induce marked altered states of consciousness (ASC), which may be important for lasting effects and clinical outcomes of psychedelic intervention. Several instruments are available to measure the acute psychedelic experience, of which the Five Dimensional Altered States of Consciousness Questionnaire (5D-ASC) is commonly used. The questionnaire can be scored and analyzed as having five dimensions or 11 subscales, but the two have not been evaluated with comparable factor analysis methods. The Danish translation of the 5D-ASC was completed by one sample of healthy volunteers receiving psilocybin in a laboratory setting (N = 47) and one sample of recreative users5D-ASC of psychedelics (N = 550), who reported retrospectively through an online survey based on their most recent experience with psilocybin. We calculated internal consistency measures of Cronbach's alpha and McDonald's omega, conducted a confirmatory factor analysis of the previously suggested factor structures, and tested for possible associations between the 5D-ASC total scores and dose, setting, and intention. For the 11 subscales, we reported omega-sem (composite reliability) using the parameters of the fitted confirmatory factor analyses model. Confirmatory factor analysis showed that the 11 subscales had a good fit to data and showed a better fit compared to the originally proposed five-dimensional solution and good internal consistencies. We further found that the 5D-ASC total scores correlated positively with the dose in the recreative sample. We found no correlations between 5D-ASC total scores and intention or setting. We find the Danish 5D-ASC to be a valid tool for measuring ASC among Danish-speaking individuals.

Analyzing Managerial Skills for Employability in Graduate Students in Economics, Administration and Accounting Sciences

The study analyzes how graduate students in economics, administration and accounting perceive their managerial skills for employability, with the aim of determining its associated variables to improve the educational processes of future managerial leaders. It focuses on the importance of developing transferable skills that meet current and future job demands. To measure the perception of skills, a structured and duly validated questionnaire (Employability Skills 2000+) was used, answered by 225 graduate students in Economics, Administrative and Accounting Sciences in Tegucigalpa, Honduras. The data obtained from the application were analyzed using the Confirmatory Factor Analysis (CFA) method with the FACTOR software. The CFA generated an adaptation of the original scale with 21 variables. The resulting scale determined three predominant factors: personal management skills, fundamental skills and teamwork skills, which presented good consistency and validity, allowing us to make conclusions regarding employability skills in the context studied. The findings show the existence of a correlation between fundamental skills and variables such as work experience, employment status and gender, as well as a high correlation between teamwork skills, work experience and employability conditions.

Stability Analysis Method of a Hierarchical Control Structure Microgrid Based on a Small-Signal Model and Hopf Bifurcation Theory

To the oscillation and stability problem caused by multi-scale and broadband electromagnetic dynamics among many isomerized power electronic devices in a microgrid, a small-signal model of hierarchical control structure microgrid and stability analysis method based on oscillation trajectories are proposed. Moreover, a hierarchical control structure is used as the research object in microgrid, and the analysis is performed based on the small-signal model and Hopf bifurcation theory. First, the small-signal model of the hierarchical control structure microgrid is established, combining the dominant eigenvalue and participation factor analysis methods, to analyze the influence of the controller and related sensitive parameters on the dynamic performance of the system. Then, based on the small-signal model and Hopf bifurcation theory, a stability analysis method based on oscillation trajectories is proposed. The relationship between different oscillation modes and limit cycles in the microgrid system and the influence of the sag control parameter values on the oscillation trajectory and stability domain of the system are researched on. Combining Hopf bifurcation theory and oscillation trajectory to delineate the stable domain of parameter trajectories, the influence of secondary control on the system stability is analyzed under different oscillation trajectories and load disturbances, revealing the corresponding relationship between the state trajectories of different oscillation modes and system stability of a hierarchical control structure microgrid. Based on the proposed oscillating trajectories, the stability analysis method has sufficient universality for studying the impact of system stability, establishing the parameter selection standards for the design of microgrids. Finally, according to the verification results, the correctness and applicability of above methods are verified.

Aggregation and assessment of grape quality parameters with visible-near-infrared spectroscopy: Introducing a novel quantitative index

Grape quality is generally assessed by measuring individual indicators rather than utilizing a comprehensive metric. A flexible approach to aggregating multiple quality-related parameters of grapes is introduced in this study, and an aggregative index was proposed for the synthetical evaluation of grape quality. First, visible-near-infrared (Vis-NIR) spectral data of two grape varieties were obtained, and the physical and chemical quality indicators were measured as reference standards. The variation trends and correlations of the indicators were analyzed, and an aggregative quality indicator (AQI) was proposed using the min-max normalization and factor analysis methods. The maturity stages of grapes were categorized by analyzing the AQI values. The spectral data underwent preprocessing using multiplicative scatter correction (MSC), Savitzky-Golay smoothing (SG), first-order derivative (FD), SG+FD and de-trending (DT) methods. Feature wavelengths were extracted using uninformative variable elimination (UVE), competitive adaptive reweighted sampling (CARS), and the UVE-CARS algorithms. Three regression models for the AQI were established based on partial least squares regression (PLSR), support vector machine regression (SVR) and convolutional neural network (CNN). Results indicated that the PLSR combined with the FD+SG preprocessing and CARS-selected feature wavelengths achieved optimal performance for Cabernet Sauvignon grapes, with the coefficient of determination for the prediction set (Rp2)=0.972, for the calibration set (Rc2)=0.995, the root mean square error of prediction (RMSEP)=0.040 and residual predictive deviation (RPD)=6.064. In addition, for the Muscat Kyoho grape, CNN combined with DT preprocessed full-spectrum data yielded the best prediction for the AQI, with Rp2=0.989, Rc2=0.981, RMSEP=0.103 and RPD=9.482. This research demonstrated that the non-destructive prediction of grape aggregative qualities can be achieved through the combination of Vis-NIR spectroscopy and a chemometric analysis, offering a practical and comprehensive metric for determining grape maturity stages and optimal harvest times. This approach is particularly valuable for the wine industry, as it facilitates better decision-making and quality control.

A scale for seventh and eighth grade students’ attitudes towards skill-based mathematics questions

The aim of this study is to develop a theoretically sound, valid, and reliable scale to examine seventh and eighth grade students’ attitudes towards so-called skill-based mathematics questions (SBMQ). The sample of the study was 820 seventh and eighth grade students at three different middle schools in Etimesgut District of Ankara Province. A draft item pool was crafted after a detailed literature review and the scale was finalized for the implementation after receiving expert opinions. This version of scale was administered shortly before the national examination which included skill-based questions in the 2022-2023 academic year. Exploratory and confirmatory factor analysis methods were used to examine the construct validity of the scale. The analysis resulted in 16 items in three factors (affective, cognitive, and motivational) which explained 46% of the total variance. Cronbach’s alpha and composite reliability scores were above .70 for each factor and whole scale. The results indicated that the Attitudes Towards SBMQ Scale developed for seventh and eighth grade students is valid and reliable.

A Comparison of the Validity of Online Courses Quality Evaluation Models

The large scale expansion of online courses has led to the crisis of course quality issues. In this study, we first established an evaluation index system for online courses using factor analysis, encompassing three key constructs: course resource construction, course implementation, and teaching effectiveness. Subsequently, we employed factor analysis and entropy weight TOPSIS multi-attribute decision analysis methods to comprehensively evaluate 541 courses. Later on, we conducted correlation and regression analyses between the evaluation results of these two methods and that of experts. The results reveal that the comprehensive evaluation scores derived from both factor analysis and entropy weight TOPSIS models exhibit a significant positive correlation with the experts'. Furthermore, the factor analysis model outperforms the entropy weight TOPSIS model in predicting experts' evaluation scores. The application of this model will help achieve timely and accurate course evaluation, and provide novel idea and approach for real-time monitoring of online courses quality.

A graph-factor-based random forest model for assessing and predicting carbon emission patterns - Pearl River Delta urban agglomeration

As China actively fulfills its emissions reduction obligations to meet the Paris climate goals, it is crucial to explore carbon reduction policies at the city level, given the important role and potential of cities in China's emissions reduction efforts. In this study, a comprehensive assessment and prediction of carbon emission patterns in the Pearl River Delta urban agglomeration was conducted by developing an integrated model that incorporates graph representation learning, factorial analysis, and random forest methods. The main findings are (1) there is significant heterogeneity in carbon emissions across industries and across time and space; (2) carbon clusters can more accurately characterize the flow of carbon emissions than carbon supply chains; (3) the nonmetallic manufacture, electricity supply and transportation industries play a decisive role in carbon emission reduction; and (4) the prediction results show that the carbon emissions of the Pearl River Delta urban agglomeration will reach 349.2 million tons in 2021, and will then show a declining trend year by year, dropping to a projected 179.8 million tons in 2035. Based on the above findings, it is recommended that the monitoring of key carbon emission clusters should be strengthened, and the monitoring data should be utilized to establish a cross-city and cross-industry cooperation mechanism for emission reduction. In addition, a clear set of action plans and strategies should be formulated and implemented to ensure that the carbon emission targets for 2035 are realized.

Navigating intellectual property challenges in China: Insights from RCEP and domestic factors

AbstractIn a high‐quality economic era, China needs innovative development. Intellectual property (IP) innovation and development are the first driving forces in China. At the same time, China has signed the Regional Comprehensive Economic Partnership agreement (RCEP), which has had a significant impact on the development of China's IP law. Under the combination of these two factors, China's IP innovation and development environment are worth studying. This paper uses the “factor analysis method” from five dimensions, including initiatives for civic awareness, regional IP development foundation, legislative support, law enforcement measures, and judicial protection, to study the development environment of IP innovation in 31 provincial regions in China, in the past 3 years. It is found that IP development in various regions of China is insufficient in some way, and the scores of different provinces vary greatly, so it will inevitably affect the development of China's IP integrally and then affect the construction process of strong provinces and cities with intellectual property rights (IPR). The novelty of this research is its in‐depth investigation into how the RCEP and global partnerships are influencing the transformation of China's intellectual property landscape. This transformation requires legal adjustments and underscores the importance of specialized IP judge training, alignment with international norms, and regional IP progress to realize China's ambition of becoming a dominant force in intellectual property. Combined with the fact that RCEP has come into effect in China and has had a significant impact, it is necessary to develop China's IP undertaking from legislative, judicial, law enforcement, and international cooperation aspects.

Trend in the age mortality structure during the COVID-19 pandemic

Introduction. The COVID-19 pandemic, caused by a novel SARS-CoV-2 coronavirus infection, lasted just over three years. Its end was announced in early May 2023. According to official data, the pandemic claimed 6.9 million lives worldwide, but it is believed that at least 20 million people were victims. The first wave of the pandemic was caused by a virus that spread from China. The virus mainly kills representatives of older age groups of the population and is characterized by a high degree of mutagenicity, which contributes to the emergence of new strains of the virus. The most aggressive and established in the population new strains of the virus spread and gave rise to the second wave of the pandemic, which turned out to be the longest. The third wave was caused by the most aggressive strain, spreading from India, and caused the greatest number of deaths. Aim of the study was to identify the extent to which changes in the virus itself affected the gender and age mortality structure during the three waves of the COVID-19 pandemic observed between 2020 and 2021. Materials and methods. The method of single factor analysis of variance was applied. The study was based on the data of the Operational Headquarters under the Government of Samara region, which were published daily with the indication of gender, age, and cause of each death. Results. The analysis confirmed the influence of the virus variability factor on the age mortality structure at the significance level of p<0.05. Comparison of the diagrams of the shares of the selected age segments in the mortality of men and women in each of the pandemic waves clearly showed how the gender and age mortality structure changed. The result of the analysis of variance showed that the changes occurring in the virus itself, although not as significant, affected the mortality pattern, with male mortality being more affected than female mortality. Conclusion. The result of the analysis of variance showed changes occurring in the virus itself to have an impact on the mortality structure, and on male mortality to a greater extent than on female mortality.