Method For Quantitative Analysis Research Articles

Analysis of Factors Influencing Pregnant Women's Participation HIV Screening in Indonesia

Indonesia is the third largest contributor of HIV/AIDS sufferers in Asia Pacific, after India and China. Several factors that can influence HIV screening in pregnant women include education, knowledge, attitudes about HIV screening, family support and support from health workers. This study aims to analyze the factors that influence the participation of pregnant women in HIV screening in Indonesia in 2024. This study uses a quantitative analysis method with a cross-sectional design. The research sample was 35 respondents in the first trimester of pregnancy using a purposive sampling technique. The research instrument used a questionnaire. The data used is primary data analyzed using the chi square test. The results of the univariate analysis showed that 62.90% of pregnant women underwent HIV screening, with a high level of education of 58.4%, good knowledge of 56.70%, positive attitudes of 58.00%, family support of 55.1%, and support from health workers of 55.90%. Pregnant women are expected to be able to actively seek information related to HIV screening other than from health workers or from various media so that they can have high participation in participating in the implementation of HIV screening examinations as an effort to detect HIV early.

THE INFLUENCE OF RETURN ON ASSETS, RETURN ON EQUITY, AND EARNINGS PER SHARE ON STOCK PRICES IN TECHNOLOGY SECTOR COMPANIES LISTED ON THE INDONESIA STOCK EXCHANGE (IDX)

Stock price is one of the important indicators of a company's success. The purpose of this study is to determine the influence of Return on Assets (ROA), Return on Equity (ROE), and Earnings Per Share (EPS) on stock prices. The data analysis method used in this study is quantitative analysis, which involves analyzing numerical data and using statistical calculations to test hypotheses. The quantitative data analysis methods applied in this research include descriptive statistics tests, classical assumption tests, and multiple linear regression analysis. Out of a population of 22 companies, a sample of 15 companies was selected for this study, covering the period from 2021 to 2023. The data analysis results indicate that Return on Assets (ROA) does not have a significant effect on stock prices, as indicated by t-value < t-table (0.824 < 2.018) with a significance of 0.415 > 0.05. Similarly, the analysis shows that Return on Equity (ROE) also does not significantly influence stock prices, with a t-value < t-table (-0.919 < 2.018) and a significance of 0.364 > 0.05. It can be concluded that neither ROA nor ROE significantly impacts stock prices. However, Earnings Per Share (EPS) does have a significant influence on stock prices, with a significance of 0.020. Future researchers are encouraged to conduct studies using different variables, such as ROA, ROE, and EPS, and to expand the sample size to achieve more in-depth research.

Differences of Primary Education Resources between Urban and Rural Areas

The unbalanced distribution of educational resources, especially between urban and rural areas, constitutes a universal problem in the world. In China, however, this difference in educational resources is particularly obvious and has become an important issue to be solved urgently. This issue is not only related to educational equity, but also profoundly affects the overall development and progress of society. This work adopts the research method of quantitative analysis, and uses the data in China education database to analyze it. According to the research results, in China the distribution of educational resources between urban and rural areas shows obvious differences, which are not only reflected in material resources, but also in teachers' strength and the access to education. The unbalanced allocation of educational resources may trigger a series of social chain reactions. The government and society need to take a series of measures to solve these problems. Specifically, we should increase investment in rural education, improve rural teachers' salary and benefits and career development opportunities, and optimize the hardware facilities of rural schools and so on. At the same time, it is necessary to deepen educational reform and innovation, aiming at achieving fairness in the field of education and promoting all-round social progress.

LC-MS/MS-Based Concurrent Quantification of Cannabidiol and Melatonin in Mouse Plasma to Elucidate Complex PK Interactions

LC-MS/MS-Based Concurrent Quantification of Cannabidiol and Melatonin in Mouse Plasma to Elucidate Complex PK Interactions

”Decolonization“ discourse in anti-russian telegram channels aimed at north Caucasus (a content analysis)

In recent years social media has turned out to be a new way of controlling minds of people and forming the way they view the world. North Caucasus has always been a complex multi-ethnic and multi-religious region. Territorial disputes and old (but not forgotten) conflicts make North Caucasus easy to try manipulating to stir it away from Russia. The idea of ”decolonization“ of Russia has resurfaced again after the Special military operation. The article presents an analysis of Telegram channels which are connected by anti-Russian rhetoric, promote “decolonization” and are focused on North Caucasus. The social graph method is used to create visual representation of the network of channels and connections between them. The quantitative content analysis method was used to analyze the text. We were able to identify five main thematic categories: “Special military operation in Ukraine”, “Islam”, “pan-Caucasian identity”, “history”, “genocide of the peoples of the North Caucasus”. The main purpose of these publications is to create a negative image of Russia, as well as to create an image of the oppressed North Caucasus colonized peoples. The level of influence of these posts on the real population of the region is the main question. We suggest that there are several information spaces: internal regional (news channels and local bloggers) and external (all the anti-Russian channels). It will be possible to talk about their merger only in two cases: if permanent connections emerge between them or if the thematic content of publications becomes sufficiently similar.

Soil erosion projection and response to changed climate and land use and land cover on the Loess Plateau

The Grain for Green Project has profoundly altered land use and Land cover (LULC), climate, and soil loss rates on the Loess Plateau over the past few decades. Evaluation and projection of soil erosion with the impacts of climate and LULC are essential for soil erosion control. This study focuses on the Jiuyuangou watershed (JYG), a typical representative of the climate and geographical characteristics of the Loess Plateau. Utilizing the Coupled Model Intercomparison Project Phase 6 (CMIP6) and environmental data, the Revised Universal Soil Loss Equation (RUSLE) coupled with the Future land use simulation (FLUS) model was used to assess soil loss rates for historical periods and various future scenarios. Furthermore, the qualitative and quantitative analysis methods were explored to evaluate the impacts of LULC and climate change on soil erosion. The forest and grass in the JYG increased from 33.4 % in 1995 to 74.1 % in 2020. The soil loss rate significantly decreased, from 64.95 t ha−1·yr−1 in 1995–4.52 t ha−1·yr−1 in 2020. The trend of converting cropland to forest and grass is predicted to continue under different future scenarios. The soil erosion will increase from 2030 to 2050 for different scenarios compared to 2020. The LULC development scenario aiming at ecological protection will effectively curb the increase in soil erosion compared with other scenarios. LULC exerted its influence in various forms across different historical phases. Attribution analysis indicated that the construction of check dams effectively reduced soil erosion from 1995 to 2005, while afforestation from 2005 to 2020 accounted for 64.6 % of the overall contribution. The increase in soil erosion is primarily attributed to more erosive rainfall events and unreasonable allocation of LULC. The correlation between LULC and soil erosion will decrease compared to climate. These findings elucidate the long-term mechanisms of soil erosion changes, emphasizing the urgency of sustainable practices to mitigate soil erosion in the face of environmental challenges.

Application of improved matrix dilution method in quantitative analysis of Ni-Co-Mn ternary precursor

Abstract When using energy-dispersive X-ray fluorescence (EDXRF) to analyze Ni-Co-Mn (NCM) samples, if the standard sample's concentration greatly differs from the unknown sample's concentration, the traditional matrix dilution method requires repeated dilution and measurement. This makes the process time-consuming and labor-intensive. This study proposes an improved matrix dilution method to reduce sample preparation and analysis. This method first establishes a functional relationship model between the dilution factor and the characteristic X-ray intensity. Then the characteristic X-ray intensity of the analyzed element can be calculated by this model, avoiding unnecessary dilution and measurement steps. To verify the effectiveness of this method, the dilution factors and characteristic X-ray intensities of the test samples were fitted using the established functional relationship. The fitting results showed that the fitting coefficients of determination of the Mn, Co, and Ni were all 0.999. Quantitative analysis was performed on the characteristic X-ray intensity fitting values and measured values of the test samples. The results showed that the quantitative results of the two were consistent. The average error of the three elements for both methods was 1.1% and 0.7%, respectively. It shows that through the established functional relationship, the characteristic X-ray intensity can be effectively calculated by the dilution factor. This method can be applied to samples with identical elements and proportions of target elements, but with different concentrations, using the same set of standard samples.

Improvement of Spatial Quality in Area of Pilgrimage Tourism in Satui Barat Village, Tanah Bumbu Regency

The development of tourism areas is closely related to improving the spatial quality of an area, but what happens if the tourism area is in a densely populated residential area with various characteristics of slums. Infrastructure, facilities and supporting utilities are not only built for the tourism area but also efforts to develop the local residential area so that it is in line with the image of improving the spatial quality of the tourism area. West Satui Village has a pilgrimage tourism area Makom Jati Keramat which is located in a residential area. With the approach and method of qualitative and quantitative analysis, improving the spatial quality of the tourism area can produce concepts and strategies for handling residential areas and developing pilgrimage tourism areas in West Satui Village, Satui District, Tanah Bumbu Regency.

Features of the methodology for assessing the innovative activity of industrial enterprises in the context of digitalization

This article is devoted to the author’s methodology for assessing the innovative activity of an enterprise aimed at integrating quantitative and qualitative indicators. This technique will allow you to more accurately reflect the level of innovation activity, identify the main factors affecting the effectiveness of innovation implementation, as well as form a strategy for further development. The paper considers the key elements of the proposed methodology. The results of the study can be applied in the practice of industrial enterprise management. The methodology can be used by state statistical agencies to monitor and evaluate the innovative activities of industrial enterprises. The implementation of this methodology can contribute to a deeper understanding of the processes associated with innovation and support informed management decisions. The methodological base of the study includes methods of quantitative and qualitative analysis, statistical analysis, factor analysis, and methods of expert assessments.

Preservation of the Author’s Tonality as a Tool for Evaluating Translation Quality

Introduction. This paper examines the methodology of text analysis using phono-semantic assessment based on the “VAAL-mini” program. The study includes an analysis of the original text and its translation to identify the author's tonality and its [non]preservation in the translation. The relevance of the chosen topic is determined by the application of psycholinguistic methods in the interpretation of V.P. Belyanin and the use of quantitative text analysis methods. The novelty of the research lies in employing the domestic linguistic computer program “VAAL-mini” as a tool capable of categorizing emotional elements of the text. Methodology and sources. The methodological foundation of the research is a psycholinguistic approach to assessing the quality of translation, which justifies the significance of the author category in the interpretation and translation of fiction texts. It also allows for an examination of how translation affects the perception and emotional response of the reader, as well as how accurately the translator conveys the cognitive and emotional aspects of the original text. The primary research method proposed is a quantitative method using the computer program “VAAL-mini”, which is capable of categorizing the emotional elements of the text. The material for the study is the novel by P. Suskind “Perfume: The Story of a Murderer” and its translation into Russian by E.V. Vengerova. Results and discussion. The literature review conducted allows for tracing the current state of psycholinguistics as per Belyanin and its developmental dynamics. In accordance with the identified concept, we performed a comprehensive analysis of P. Suskind's work “Perfume: The Story of a Murderer” and its Russian translation. The results of this analysis help to gain a deeper understanding of the emotional and lexical components of the text, as well as to assess the quality of the translation. The integration of a psycholinguistic approach with modern quantitative analysis methods-using corresponding computer programs enables a more comprehensive understanding of the studied work. Conclusion. As a result of the analysis based on determining the type of text using the linguistic application VAAL-mini, findings were obtained that refuted the external (qualitative) impression of stylistic and emotional equivalence between Süskind's original text and E.V. Vengerova's translation of the novel. This result demonstrates the viability of the proposed methodology for assessing translation quality.

Application of excitation-emission matrix fluorescence spectroscopy and chemometrics for quantitative analysis of emulsified oil concentration

Emulsified oil concentration is an important index for quantitative analysis of sea surface oil spill pollution, and the development of a fast and effective quantitative analysis method for emulsified oil concentration plays a crucial role in the estimation of oil spill volume and post-spill assessment. A quantitative analysis method for emulsified oil concentration based on excitation-emission matrix (EEM) fluorescence spectroscopy and chemometrics was proposed. Firstly, the EEM fluorescence spectra of two emulsified oils were measured using a FLS1000 fluorescence spectrometer. Then, the measured EEM fluorescence spectra were decomposed by parallel factor analysis (PARAFAC), and several key excitation wavelengths were filtered from the loading matrix obtained from the decomposition. Subsequently, the three-band fluorescence index (TBFI) at these excitation wavelengths was calculated and combined with the optimal band selection algorithm, from which the optimal emission band combinations were selected. Finally, the selected optimal emission bands were combined with partial least squares regression (PLSR) to establish a prediction model for emulsified oil concentration. By comparing the prediction results with those based on PARAFAC-PLSR and multivariate curve resolved-alternating least squares (MCR-ALS)-PLSR models, the TBFI-PLSR model showed the best results in the quantitative analysis of emulsified oil concentration. The coefficient of determination, mean square relative error, and ratio of performance to interquartile distance for the gasoline and diesel fuel emulsion validation sets were 0.93, 3.67%, 4.72, and 0.93, 3.72%, 4.60, respectively.

Comprehensive characterization of micro-pore structures in different lithologies of the lacustrine fine-grained mixed sedimentary reservoir of the Shahejie Formation in the Jiyang Depression

Several methods, such as field-emission environmental scanning electron microscope (FE-SEM), low-temperature nitrogen adsorption-desorption, high-pressure mercury injection tests, focused ion beam scanning electron microscope (FIB-SEM), and high-magnification and large-scale quantitative analytical methods involving argon ion polishing-FE-SEM, have been carried out on lacustrine fine-grained mixed sedimentary reservoirs of the upper fourth-lower third members of the Shahejie Formation in the Jiyang Depression, with the aim of clarifying their microstructural characteristics. Five types of reservoir spaces of fine-grained mixed sedimentary reservoirs were recognized in this study, including intergranular, dissolution, intercrystalline and intracrystalline pores, and fractures. The favorable reservoir spaces are pores with diameters ranging from 40 nm to 300 nm, which are dominated by intergranular pores, grain edge seams, and dissolution pores. The high-pressure mercury injection curves can be divided into three types. Types I and II, with good pore structures, occur mainly in mudstone and dolomite facies, whereas type III, with poor pore structures, is present in limestone facies. The low-temperature nitrogen adsorption-desorption showed that the adsorption volume of dolomite facies is the highest, and the pore morphologies are plate-like. The adsorption amount of mudstone facies is higher than limestone facies, and the pore morphologies are dominated by ink bottle-shaped and parallel plate-like. FIB-SEM analyses reveal that the samples display moderate connectivity. These findings suggest that the different types of lithologic reservoirs of fine-grained mixed sedimentary rocks in the Jiyang Depression have different microstructures, with the argillaceous dolomite, calcareous mudstone, calciferous mudstone, and argillaceous limestone changing gradually from good to poor.

Unveiling the Impact of Emotional Regulation on Academic Procrastination

This study examines how consumer perceptions of the Skintific brand, product quality, and pricing influence product selections among 110 FBHIS students at Muhammadiyah University of Sidoarjo. Using online questionnaires and quantitative analysis methods, including validity and reliability tests, multiple linear regression, and t-tests, the research reveals significant relationships between brand image, product quality, pricing, and consumer purchasing decisions. The findings emphasize the importance of these factors in shaping consumer behavior, particularly among university students, and offer insights for skincare companies targeting this demographic to enhance brand image, maintain product quality, and offer competitive pricing strategies. Highlight: Quantitative Analysis: Validity, reliability tests, regression for consumer behavior research. University Sample: Investigated FBHIS students' purchasing choices at Sidoarjo University. Strong Associations: Brand image, product quality, pricing linked to consumer decisions. Keywoard: Consumer perceptions, Skintific brand, Product quality, Pricing, Decisions

Stations of the Publicum Portorium Illyrici are a Strong Predictor of the Mithraic Presence in the Danubian Provinces: Geographical Analysis of the Distribution of the Roman Cult of Mithras

Abstract The article examines the relationship between the Roman cult of Mithras and members of the publicum portorium Illyrici, the Roman customs office active in the Danubian provinces, who have been discussed in previous research as potentially important carriers of this cult. To investigate this relationship and its extent, spatial proximity analysis is performed with respect to documented portorium stations and confirmed Mithraic finds. For comparative purposes, the spatial proximity between portorium stations and finds relating to other selected Graeco-Roman deities was also examined. On the basis of the results of this analysis, it is possible to conclude that Mithraic finds are located significantly closer to customs stations than those of other Graeco-Roman deities (with the exception of Jupiter, the main Graeco-Roman god) and that the presence of a portorium station strongly predicts the presence of a Mithraic cult at a given site or in its immediate vicinity, especially in the Western cluster of portorium provinces. Thus, in a nuanced form and using a quantitative method of geographical analysis, the study supports previous conclusions about the importance of portorium officials as a social group significantly involved in the spread of the Roman cult of Mithras in the Danubian provinces.

PENGARUH BRAND AWARENESS DAN RELIGIUSITAS TERHADAP KEPUTUSAN PEMBELIAN CUSTOMER PRODUK PRO ISRAEL

Garnier, a new product from PT. L'oreal Indonesia offers affordable prices and various variants with the latest innovations. However, political and religious controversies involving Israel often create negative perceptions of pro-Israel products. The focus of this research is the analysis of the influence of Brand Awareness and Religiosity on customer Purchasing Decisions of pro-Israel products on Garnier products at Abel Store. This study aims to determine the influence of Brand Awareness and Religiosity on Purchasing Decisions. This study used a sample of 105 respondents with the method of quantitative analysis and processed using Smart PLS. The results of this study show that Brand Awareness and Religiosity have a positive and significant effect, partially and simultaneously. Keywords: Brand Awareness; Religiosity; Purchasing Decisions

Application of Natural Science Methods in Social Science Research

The introduction of natural science methodologies into social science research aims to enhance the scientific rigor and validity of studies through precise techniques. By employing quantitative analysis, data mining, and model construction, researchers are able to delve deeper into the complexities of social phenomena, injecting new vitality into traditional qualitative research. Quantitative analysis methods render research outcomes more objective and reproducible, while data mining techniques can extract underlying patterns and trends from vast amounts of data. Model construction offers a systematic understanding of social dynamic processes, supporting the prediction and intervention of future social developments. Computer simulation technologies, particularly with the backing of big data and high-performance computing, enable hypothesis testing and virtual experiments on social systems, allowing for multi-level and multi-perspective observations of social phenomena. This interdisciplinary integration not only provides new research tools and methodologies for the social sciences but also effectively fosters the interchange of knowledge between different disciplines. However, continuous reflection and adjustment in practical applications are necessary to address the potential pitfalls and limitations that may arise from the complexity of these methods.

Research on Multi-Objective Evolutionary Algorithms Based on Large-Scale Decision Variable Analysis

Large-scale high-dimensional many-objective optimization problems (LaMaOPs) are prevalent in fields such as autonomous driving, cloud resource scheduling, and smart grids. LaMaOPs involve a large number of decision variables and multiple conflicting objectives that need to be optimized simultaneously. The challenges posed by the curse of dimensionality due to the vast number of decision variables, and the conflict between convergence and diversity caused by the numerous objective variables, make traditional optimization methods inadequate. To address these issues, this paper proposes a two-population cooperative evolutionary algorithm based on large-scale decision variable analysis (DVA-TPCEA). This algorithm integrates quantitative analysis methods for decision variables to deeply examine their impact on each objective and introduces a contribution-based objective detection method. Additionally, a dual-population cooperative evolution mechanism is employed, with targeted optimization strategies designed for convergence and diversity populations, achieving synergistic and complementary optimization between the two populations. To validate the algorithm’s effectiveness in practical applications, a large-scale container resource scheduling strategy based on the DVA-TPCEA algorithm is also proposed. The experimental results indicate that the proposed algorithm demonstrates significant advantages in both general datasets DTLZ, WFG, and LSMOP, and practical models.

Planning and Construction Strategies for Infrastructure in Traditional Villages of the Grand Canal from the Perspective of Villager Needs

The traditional villages along the Jiangsu section of the Grand Canal are facing the threat of decline and disappearance due to the decline of the canal transportation function and the advancement of urbanization, and it is urgent to study the protection and renewal of these villages. Based on the needs of villagers, this study aims to explore the planning and construction strategies of traditional village infrastructure in the Jiangsu section of the Grand Canal. Through a literature review, field investigation, and qualitative and quantitative analysis methods, this paper conducts in-depth research and data analysis on the status quo of six types of infrastructure in 29 traditional villages, including road traffic, water supply and drainage, garbage sanitation, energy utilization, postal communication, and ecological disaster prevention. The research results show that, although the infrastructure construction has made some progress, there are still problems such as unreasonable planning, low construction quality, and the lack of cultural characteristics, which cannot fully meet the actual needs of villagers. Through a regional comparative analysis, it is found that the infrastructure condition of the Jiangnan Canal section is better than that of the Huaiyang Canal section and Middle Canal section, but they all face challenges of protection and renewal. Based on the needs of villagers, this study puts forward corresponding protection and optimization strategies, which provide theoretical guidance and practical methods for the sustainable development of traditional village infrastructure, and it has important reference significance for the infrastructure protection and development of traditional villages in other regions.

FACTORS CONTRIBUTING TO STUDENTS’ ACTIVE LEARNING IN PHYSICAL EDUCATION

This study sought to examine factors contributing to students’ active learning in physical education based on motivational and active learning variables. The study attracted the participation of 400 students at the People’s Police College II in Vietnam, using a quantitative data collection and analysis method. Results from the study indicate that, although emotion is the most critical one, factors related to students’ attention/cognition, self-determination, behavior and knowledge mastery played significant roles in motivating students’ motivation and engagement in active learning in physical education. The study’s findings suggest practical and pedagogical implications for both administrators and instructors in preparing appropriate physical education lessons to promote students’ active learning.<p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/soc/0794/a.php" alt="Hit counter" /></p>

Use of spectral transmittance model to improve the detection accuracy of chromium in soil

As a new quantitative analysis method for heavy-metal elements in soil, the main function of the polarization resolution model is to filter out the disturbance of other elements on the spectral signal of target plasma. In order to quantify the mechanism of improving detection performance, the spectral transmittance of plasma intensity in the polarization-resolved optical path has been derived, and the relationship between the intensity of polarization-resolved laser-induced breakdown spectroscopy (PRLIBS) and the characteristic peak wavelength has been defined. Using the spectral data in the wavelength range of 424.50–429.24 nm as the characteristic signal, a quantitative analysis method for detection of the Cr element in soil has been developed. The improvement of spectral intensity stability at the characteristic peak of Cr I 425.7 was analyzed, and the mechanism of enhancing the detection accuracy was elucidated. Research has shown that, based on the polarization characteristics of Cr element plasma, PRLIBS is not affected by the matrix effects of soil and characterizes the amplitude conversion from the reference concentration of Cr element to the plasma spectral intensity. The spectral transmittance of plasma spectra depends not only on the characteristic peak wavelength and complex refractive index of heavy-metal elements but also on the measurement conditions such as spatial geometric angles and reflectivity of the transmission medium.