Method For Quantitative Analysis Research Articles

A stable method for ionic rare earth element extraction and quantitative analysis of total quantity and composition of batch samples.

The development of a stable, high-precision and batch ion-adsorption rare earth element detection method is highly anticipated in the delineation and evaluation of the mining value of rare earth element mines. In this study, a novel mixed extractant of ammonium sulfate + ammonium citrate + aceto-sodium acetate buffer was used to significantly improve the extraction efficiency of rare earth elements. Following a series of parameter optimizations, an off-line internal standard addition method and the collision mode of the inductively coupled plasma-mass spectrometer were used to improve the detection efficiency for batch samples, effectively eliminating oxide interference between the rare earth elements and improving the detection accuracy. The detection limit for ion-adsorption rare earth elements was 3.4 μg g-1 and the detection range was 12-8000 μg g-1. More importantly, the spiked and recovery experiments carried out in multiple laboratories with internal quality control samples show that the relative deviation was -5.61 to 3.79%, which indicates that the method has sufficient stability. Establishment of this method will help to improve the comprehensive utilization efficiency of rare earth resources and provide important support for rare earth element mining.

Italians and Global Warming Skepticism: opinions and Ways of information

Scientists, policy-makers, entrepreneurs, and citizens are strongly concerned about the harmful consequences of climate change. Individual beliefs about social norms and economic and political orientations regarding trust and social relationships call into question values ​​such as care for the environment, autonomy, freedom of choice, and risk. Given the influence of the media on public perceptions, it is essential to consider how, with what means, and towards which issues citizens orient themselves to address this epochal phenomenon. Using quantitative and qualitative methods of analysis, the present study investigates the characteristics and reasons of the individuals who are skeptical of the evidence of global warming in Italy and how the Italians inform themselves about this issue. Quantitative analysis was performed on two representative samples of 1011 and 1030 individuals from Observa Science in Society in 2022 and 2023 through a structural equation model (SEM) to study the dimensions associated with climate change skepticism. Qualitative research on a panel of 93 Italians selected by gender, cultural level, and area of residence further highlighted the information channels, methods of use, and the main dimensions of interest in climate change. This robust mixed-mode methodology, which ensures the credibility and reliability of the study's findings, is a key strength of this research. Our results confirm that less trust in science and older age are associated with skepticism. Furthermore, traditional media are the primary means of information despite the growing importance of social relations - including social networks - in shaping opinions on the environment and climate change. The conclusions also reveal that experts influence the public, even if personal experience often mediates this effect. These findings have practical implications for understanding and addressing climate change skepticism in Italy, equipping researchers, policymakers, and individuals interested in this issue with the knowledge to make informed decisions and take effective action.

Pengaruh Rekam Medis Elektronik Terhadap Efisiensi Pelayanan Kesehatan Poli Obgyn di RSU X

Electron Medical Records are essential for Health Services to ensure more efficiency and effectiveness in serving patients, especially in OBGYN Polyclinics. Having an Electronic Medical Record can make work easier. The aim of this investigation is to find out how electronic medical records influence the efficiency of health services. The research method employed a quantitative analytical observation design method. The population used was 2 doctors and 6 nurses at the ob-gyn polyclinic. The results from questionnaire and simple linear regression test revealed that it has a strong correlation and the Pearson correlation value is 0.704 and also the variables x and y have a significant influence. Then, it is found that the test done through SPSS version 26 was declared valid and reliable

Perhitungan Harga Pokok Produksi Serta Harga Pokok Penjualan Terhadap Laba Penjualan: Studi Kasus pada UMKM Cilok Wonogiri

This research aims to determine the effect of production costs and cost of goods sold on profits generated by MSMEs in Cilok Wonogiri. The elements that form production costs are production costs, including: raw material costs, direct and indirect labor costs, general production costs and inventory of goods in process, including: inventory of goods in process and inventory of goods. ongoing. Meanwhile, the cost of goods sold factor includes total production costs and finished product inventory (initial finished product inventory and final finished product inventory). These factors will influence the selling price of the product. Primary and secondary data are the types of data used in research. Primary data was taken from direct observation of subjects to obtain accurate data along with the results of company interviews. Secondary data was collected through company records regarding data relating to production costs and cost of goods sold which will affect the profits obtained from sales of Wonogiri cilok. Researchers examine production costs using company calculations and production cost data for 2022. The analysis technique used by the author is a quantitative descriptive analysis method. Quantitative descriptive analysis is used to explain the calculation of production costs according to the full cost method, then this information is used as a basis for determining product selling prices to determine MSME profits.

GT-CAM: Game Theory Based Class Activation Map for GCN.

Graph Convolutional Networks (GCN) have shown outstanding performance in skeleton-based behavior recognition. However, their opacity hampers further development. Researches on the explainability of deep learning have provided solutions to this issue, with Class Activation Map (CAM) algorithms being a class of explainable methods. However, existing CAM algorithms applies to GCN often independently compute the contribution of individual nodes, overlooking the interactions between nodes in the skeleton. Therefore, we propose a game theory based class activation map for GCN (GT-CAM). First, GT-CAM integrates Shapley values with gradient weights to calculate node importance, producing an activation map that highlights the critical role of nodes in decision-making. It also reveals the cooperative dynamics between nodes or local subgraphs for a more comprehensive explanation. Second, to reduce the computational burden of Shapley values, we propose a method for calculating Shapley values of node coalitions. Lastly, to evaluate the rationality of coalition partitioning, we propose a rationality evaluation method based on bipartite game interaction and cooperative game theory. Additionally, we introduce an efficient calculation method for the coalition rationality coefficient based on the Monte Carlo method. Experimental results demonstrate that GT-CAM outperforms other competitive interpretation methods in visualization and quantitative analysis.

Differences in near-infrared fluorescence imaging and histological analysis of cheek mucosa in golden hamsters with different pathological states.

To explore and analyze the feasibility of using indocyanine green (ICG) near-infrared fluorescence (NIF) imaging technology for the early diagnosis of oral potential malignant disorders and oral squamous cell carcinoma. 7,12-Dimethylbenz[a]anthracene in acetone solution was used to induce various pathological models of buccal mucosal lesions (mild/moderate dysplasia, severe dysplasia, squamous cell carcinoma) in golden hamster. ICG-NIF was conducted for the quantitative analysis of the fluorescence signal of lesion tissue, and evaluation of the diagnostic and discriminative capabilities of the ICG-NIF technology for mucosal lesions in various pathological states. Immunohistochemical staining was perform to examine the microvessel density (MVD) and microlymphatic vessel density (MLVD) of mucosa in various pathological states and explore the histological reasons underlying the differences in fluorescence signals. The results of ICG-NIF fluorescence quantitative analysis reveal the higher fluorescence intensity of mucosal lesions in the experimental group compared with that of the normal mucosa on the control side, with statistical differences (P<0.05). Moreover, the more severe the malignancy of mucosal lesions in the experimental group, the higher the fluorescence intensity. According to histopathological analysis, the malignant progression of mucosal lesions in golden hamsters was accompanied with an increase in MVD (P<0.05) and a decrease in MLVD (P<0.05). The abnormal proliferation of mucosal lesions in golden hamsters exhibits a difference in ICG-NIF fluorescence signal compared with normal mucosal tissue. Fluorescence quantitative analysis methods can provide assistance in differentiation and show potential for clinical applications.

Research on the Economic Radiation Measurement of Surrounding Cities in the Guangdong Hong Kong Macao Greater Bay Area

By establishing a comprehensive index system of cities, this paper uses gravity model to measure the economic connection intensity of cities in Guangdong Province, and divides cities into four levels by k-means clustering analysis. The first level city is Guangzhou, which ranks first in the total economic connection intensity of the whole Guangdong Province. The second tier cities are Shenzhen and Foshan; The third tier cities are Dongguan, Zhuhai, Zhongshan, Jiangmen and Huizhou. The rest of the cities ranked fourth. Combining qualitative and quantitative analysis methods, this paper puts forward two suggestions on "measuring the economic radiation of the Guangdong-Hong Kong-Macao Greater Bay Area to the surrounding cities" : strengthening the economic strength and strengthening the radiation subjects; Make use of location advantages to improve traffic accessibility.

The Use of "Seven" as an English Learning Medium for 7th Grade Junior High School Students

This article focuses on the development of mobile learning media using Android-based applications to enhance the teaching and learning process, specifically for English language education in seventh-grade classrooms. The study follows the research and development (R&amp;D) model proposed by Lee and Owens (2004) and was conducted in two private schools in the Malang district. The development process consists of five phases: assessment/analysis, design, development, implementation, and evaluation. The "Seven" application, developed using the Andromo platform, aims to improve the four basic skills of English language learning: reading, speaking, writing, and listening. The effectiveness of the application was evaluated through material verification and media verification, using qualitative and quantitative data analysis methods. The findings indicate that the "Seven" application was well-received by students, with positive feedback regarding its user-friendly interface and the engaging learning experience it provided. The study demonstrates the potential of Android-based mobile learning as an effective and practical tool for enhancing English language education in seventh-grade classrooms.

A unique cuvette and near-infrared spectral imaging for fast and accurate quantification of milk compositions

Analyzing the nutritional compositions of milk using traditional methods is costly, time-consuming, and impractical for rapid field measurements, resulting in delays in quality control procedures. This paper presents a rapid, accurate, and easy-to-use method for quantitative analysis of finished milk compositions using a low-cost, portable, and environmentally friendly measurement system. The system uses a near-infrared (NIR) broadband digital camera to capture spectral images of milk after it is placed in a customized cuvette in the short-wave NIR region (700–1050 nm). A machine learning algorithm that combines image edge detection and gradient-boosted decision trees then regresses these images to predict the protein and fat content of the milk. Each measurement requires a maximum of 1.75 mL of milk sample with no additional consumables and takes 0.1 s to complete. The coefficient of determination (R2CV) for the fat detection model was 0.999 and the root mean square error (RMSECV) was 0.026 g/100 mL. For protein detection, the R2CV was 0.957 and the RMSECV was 0.058 g/100 mL. The experimental results show that the system achieves high precision and stability while realizing miniaturization and portability.

Tracheloside, the main constituent of the total lignan extract from Trachelospermi Caulis, inhibited rheumatoid arthritis via IL-17/MAPK signaling pathway

A quantitative analysis method was established using high-performance liquid chromatography (HPLC) to simultaneously determine five lignans in the total lignan extract (TLE) from Trachelospermi Caulis at 280 nm, including nortracheloside, tracheloside, nortrachelogenin, trachelogenin, and arctigenin. The method demonstrated good linearity for each lignan within their respective ranges, with precision, stability, and repeatability meeting the criteria for quantitative analysis. Tracheloside, the most abundant compound in the TLE, effectively inhibited the release of inflammatory factors IL-6 and IL-17, and suppressed the migration MH7A cells in vitro. Furthermore, tracheloside reduced the production of key inflammatory factors, including COX-2, IL-6, IL-17, MMP2, MMP3, MMP9, JNK, p-JNK, p38, and p-p38 in TNF-α induced MH7A cells, thereby inhibiting the IL-17/MAPK signaling pathway, and thus contributing to its anti-rheumatoid arthritis effects. This study represents the first report on the simultaneous quantification of five major lignans from Trachelospermi Caulis and the anti-inflammatory properties of tracheloside.

Qualitative and Quantitative Analysis Method of Recombinant Collagen in Complex Matrix Based on HPLC-MS/MS

The purpose of this study is to achieve the quantitative detection of recombinant type III collagen (rh-COL-III) in dressings with complex matrix. First of all, the marker peptide (GEAGIPGVPGAK) of rhCOL-III was identified with HPLC-MS/MS. Then, a qualitative and quantitative method based on marker peptides was established and validated. In order to obtain higher sensitivity, a pretreatment method of liquid, gel, and ointment dressings was optimized. The reference material for quantification was combined using rhCOL-III and blank matrix of each dressing. The results indicated that the relative standard deviation (RSD) of the quantitative method was 2.77%, and the RSD of intraday and interday precision was 2.76% and 2.31%, respectively. The spiking recovery rate was between 80% and 90%. The optimal pretreatment method was Tris-HCl solvent replacement. The optimal trypsin concentration for the dressing solution was 20 μg in 500 μL. The method of preparing standard substances with a blank matrix can effectively eliminate the influence of the matrix effect on the quantitative results. The average spiking recovery rates of 50 μg/mL, 100 μg/mL, and 200 μg/mL in three different dressings ranged from 80% to 120%. The quantitative detection of limit (LOD) of rhCOL-III was 1 ng/mL, 2 ng/g, and 1 ng/g in liquid, ointment, and gel dressings.

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 &lt; t-table (0.824 &lt; 2.018) with a significance of 0.415 &gt; 0.05. Similarly, the analysis shows that Return on Equity (ROE) also does not significantly influence stock prices, with a t-value &lt; t-table (-0.919 &lt; 2.018) and a significance of 0.364 &gt; 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.

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.