Method For Quantitative Analysis Research Articles

The Effect of E-WOM and Brand Image on Purchase Intention to Buy Samsung Phones with E-Satisfaction as a Moderation Variable in State One, Students of Feb USU Medan

This study uses E-Satisfaction as a moderator to identify and examine the effects of E-WOM and brand image on purchase intention. The primary data was collected directly from the 105 respondents who made up the sample. The sampling technique combines both the non-probability sampling technique and the Slovin sampling approach. Quantitative analysis methods were used to investigate survey responses from respondents, and SPSS was used as the analytical tool. Brand image does not significantly affect purchase intentions, but E-WOM and E-Satisfaction do, according to the study’s findings. The association between E-WOM and purchase intentions is likewise moderated by e-satisfaction, whereas the link between brand image and purchases is not moderated by e-satisfaction. Keywords: E-wom, brand image, E-Satisfaction, purchase intention

Hydroxy Fatty Acid Synthesis-Related mRNA as the Biomarker for Detecting Mislabeling of Honey Entomological Origin.

The authentication of the entomological origin of honey is a widespread concern, necessitating the prompt establishment of an effective approach for distinguishing between Apis cerana cerana honey (ACH) and Apis mellifera ligustica honey (AMH). Hydroxy fatty acids (HFAs) found in honey are bee-derived components synthesized by the mandibular glands of worker bees. We previously discovered significant variations in the hydroxy fatty acid composition between ACH and AMH, suggesting their potential as indicators for identifying the authenticity of the entomological origin of honey. Herein, we identified differentially expressed genes associated with HFA synthesis by conducting transcriptome sequencing of the mandibular glands of AC and AM honeybees. Subsequently, we proposed a method for the relative quantitative analysis of bee-derived RNA components using real-time fluorescence quantitative polymerase chain reaction, which was supplemented by multivariate statistical analysis to further discern differences in HFA synthesis-related mRNA between ACH and AMH. The results showed that the mRNAs of FAXDC2 (fatty acid hydroxylase domain-containing protein 2) and FAS (fatty acid synthase) may serve as indicators to discern the entomological origin of honey. This study presents two novel biomarkers for detecting mislabeling of the entomological origin in ACH and AMH based on variations in bee-derived components.

Microcrack characteristics of granite under circumferential strain-controlled uniaxial compression test using UDEC-GBM

Rockburst is one of the significant challenges for underground excavation stability. The post-peak behaviour of rock controls the way it fails, and the released energy is potentially involved in the rockburst. However, understanding of both microscopic and macroscopic behaviours of brittle rock in the post-peak stage is limited due to the lack of proper loading methods and quantitative microscopic analysis methods. This study proposes a circumferential strain-controlled loading algorithm in UDEC to control the failure process, which has been verified against previous literature. By employing the improved geometry generation method, the microcrack evolution is quantitatively assessed. Energy analysis reveals that up to 80% of the input energy is stored in the granite prior to complete failure, which could be released if the rock fails at this moment. Conversely, after the complete failure, intragranular cracks account for the majority of energy dissipation, indicating its importance in post-peak stability. A small portion of the peak stored strain energy needs to be extracted to achieve a controlled failure process. Furthermore, it is found that the significant increases in the formation of intergranular shear and low-angled microcracks potentially feature the complete failure of the specimen. The proposed model offers a complementary method to systematically investigate the post-peak behaviour of rock, including the evolution of microcracks and energy.

Methodologic and Data-Analysis Triangulation in Case Studies: A Scoping Review.

We sought to explore the processes of methodologic and data-analysis triangulation in case studies using the example of research on nurse practitioners in primary health care. We conducted a scoping review within Arksey and O'Malley's methodological framework, considering studies that defined a case study design and used 2 or more data sources, published in English or German before August 2023. The databases searched were MEDLINE and CINAHL, supplemented with hand searching of relevant nursing journals. We also examined the reference list of all the included studies. In total, 63 reports were assessed for eligibility. Ultimately, we included 8 articles. Five studies described within-method triangulation, whereas 3 provided information on between/across-method triangulation. No study reported within-method triangulation of 2 or more quantitative data-collection procedures. The data-collection procedures were interviews, observation, documentation/documents, service records, and questionnaires/assessments. The data-analysis triangulation involved various qualitative and quantitative methods of analysis. Details about comparing or contrasting results from different qualitative and mixed-methods data were lacking. Various processes for methodologic and data-analysis triangulation are described in this scoping review but lack detail, thus hampering standardization in case study research, potentially affecting research traceability. Triangulation is complicated by terminological confusion. To advance case study research in nursing, authors should reflect critically on the processes of triangulation and employ existing tools, like a protocol or mixed-methods matrix, for transparent reporting. The only existing reporting guideline should be complemented with directions on methodologic and data-analysis triangulation.

Dynamics of Social Interaction, Social Support, and Psychological Well-Being in Urban Communities: Social Support Theory Perspective

This study aims to investigate the effect of Quality of Social Relationships on Social Welfare and Urban Community Quality of Life, using the Structural Equation Modeling (SEM) quantitative analysis method with the SMARTPLS tool. This research method involves collecting data from 600 samples representing various backgrounds and characteristics of individuals in an urban environment. The results showed that Quality of Social Relationships has a positive and significant influence on Social Welfare and Urban Community Quality of Life. The quality of strong and supportive social relationships is shown to play an important role in enhancing individual social welfare and improving the overall quality of life in urban communities. From the analysis using the SEM method with SMARTPLS, the findings suggest that social interaction, life satisfaction, social support, and the ability to adapt to environmental changes contribute positively to the quality of social relationships which in turn influence Social Welfare and Urban Community Quality of Life. The implication of these findings is the need to consider the importance of strengthening the quality of social relationships in developing social policies and programs aimed at improving social welfare and quality of life in urban environments.

Penyusunan Konsep Sustainable Village Melalui Analisis Anggaran Pendapatan dan Belanja Desa di Kabupaten Jember

This article is designed to develop the concept of a sustainable village through an in-depth exploration of the Village Revenue and Expenditure Budget (APBDes) in Jember Regency. The primary focus of this research is to understand how Village Funds can be configured to support the concept of a Sustainable Village. This study uses descriptive quantitative analysis methods by processing APBDes data from 223 villages in Jember Regency to form the concept of a sustainable village. The results indicate that villages allocating funds with a priority on infrastructure spending, such as Yosorati, Mulyorejo, and Darungan, are more likely to implement the concept of a sustainable village compared to villages with lower allocations in the same category. This article highlights the importance of integrating sustainability principles into the planning and budgeting of Village Funds to ensure that development not only improves current living quality but also preserves the environment for the future.

Analysis of the Relationships between Variables and Their Applications in the Energy Saving Field

Energy saving is an important measure to promote social green transformation. The traditional energy-saving ideas usually only focus on a specific loss, and seldom consider the possible relationship and influence among various losses. In relatively complex energy-using systems, there are often many kinds of losses, and each loss may have many influencing factors. There may be some relationship between these losses and the influencing factors. To solve this problem, this paper presents an analysis method of the variable association in multi-variable systems. First, the basic relationships between variables and the representation methods are discussed. The basic concept of a path between variables is given, and the analysis method of variable association based on path statistics is provided. This paper focuses on the analysis of the influencing factors and paths of the observed variables, as well as which observed variables will be affected by a control variable. Then, based on the correlation matrix, the quantitative analysis method of the influence between variables is given. Variable correlation analysis is innovatively applied in the field of energy saving to determine the correlation of losses through variable associations, guiding the preliminary screening of energy-saving measures and analyzing the collateral effects of these measures. Based on the correlations between energy losses, a scientific process for formulating energy-saving measures is proposed. The variable correlation analysis method proposed in this paper is a generalized method, which can judge the correlation between variables from the perspective of theoretical analysis and avoid the dependence on data. In addition to good applications in the field of energy conservation, it can also be widely used in construction, transportation, climate change, and other fields. The proposed energy-saving ideas take into account the intensity of influencing factors on loss and the correlation between loss, which improves the effectiveness of energy saving measures.

Research on batch multielement rapid quantitative analysis based on the standard curve-assisted calibration-free laser-induced breakdown spectroscopy method

This study proposes a batch rapid quantitative analysis method for multiple elements by combining the advantages of standard curve (SC) and calibration-free laser-induced breakdown spectroscopy (CF-LIBS) technology to achieve synchronous, rapid, and accurate measurement of elements in a large number of samples, namely, SC-assisted CF-LIBS. Al alloy standard samples, divided into calibration and test samples, were applied to validate the proposed method. SC was built based on the characteristic line of Pb and Cr in the calibration sample, and the contents of Pb and Cr in the test sample were calculated with relative errors of 6% and 4%, respectively. SC built using Cr with multiple characteristic lines yielded better calculation results. The relative contents of ten elements in the test sample were calculated using CF-LIBS. Subsequently, the SC-assisted CF-LIBS was executed, with the majority of the calculation relative errors falling within the range of 2%–5%. Finally, the Al and Na contents of the Al alloy were predicted. The results demonstrate that it effectively enables the rapid and accurate quantitative analysis of multiple elements after a single-element SC analysis of the tested samples. Furthermore, this quantitative analysis method was successfully applied to soil and Astragalus samples, realizing an accurate calculation of the contents of multiple elements. Thus, it is important to advance the LIBS quantitative analysis and its related applications.

Quantitative analysis of the impurities in Etimicin using hydrophilic interaction liquid chromatography coupled with charged aerosol detector

Etimicin is a typical aminoglycoside antibiotic (AG). High performance liquid chromatography-evaporation light scattering detector (HPLC-ELSD) method is a commonly used method for determining impurities in Etimicin. However, due to the poor reproducibility, low sensitivity and narrow linear range of the ELSD, high-throughput quantitative analysis of impurities in Etimicin currently poses a challenge. In this study, a sensitive method using hydrophilic interaction liquid chromatography coupled with charged aerosol detector (HILIC-CAD) was developed for the analysis of the impurities in Etimicin. The liquid phase conditions for determination impurities in Etimicin were optimized using Box Behnken design (BBD) and response surface methodology (RSM), resulting in satisfactory separation and optimal CAD output signal. We also studied the influence of CAD parameters on the signal-to-noise ratio and linearity of Etimicin and its impurities. This method has also been proven to be effective in separating impurities from two other typical AGs, Isepamicin and Amikacin. In the method validation, the coefficient of determination (R2) of Etimicin, Isepamicin and Amikacin and their impurities were all greater than 0.999, within the range of 0.5–50 μg/mL. The average recoveries of the impurities of three typical AGs were 99.03 %-101.22 %, RSDs all were less than 2.5 % for intra-day and inter-day precision, with good precision and accuracy. The developed HILIC-CAD quantification method was sensitive, accurate and highly selective for quantitative analysis of impurities in the AGs without need ion-pairing reagents, which is ensure the public medication safety. The method is first reported application of HILIC-CAD method for quantitative analysis of the impurities in AGs.

Proprioception enhancement for robot assisted neural rehabilitation: a dynamic electrical stimulation based method and preliminary results from EEG analysis.

In recent years, the robot assisted (RA) rehabilitation training has been widely used to counteract defects of the manual one provided by physiotherapists. However, since the proprioception feedback provided by the robotic assistance or the manual methods is relatively weak for the paralyzed patients, their rehabilitation efficiency is still limited. In this study, a dynamic electrical stimulation (DES) based proprioception enhancement and the associated quantitative analysis methods have been proposed to overcome the limitation mentioned above. Firstly, the DES based proprioception enhancement method was proposed for the RA neural rehabilitation. In the method, the relationship between the surface electromyogram (sEMG) envelope of the specified muscle and the associated joint angles was constructed, and the electrical stimulation (ES) pulses for the certain joint angles were designed by consideration of the corresponding sEMG envelope, based on which the ES can be dynamically regulated during the rehabilitation training. Secondly, power spectral density, source estimation, and event-related desynchronization of electroencephalogram, were combinedly used to quantitatively analyze the proprioception from multiple perspectives, based on which more comprehensive and reliable analysis results can be obtained. Thirdly, four modes of rehabilitation training tasks, namely active, RA, DES-RA, and ES-only training, were designed for the comparison experiment and validation of the proposed DES based proprioception enhancement method. The results indicated that the activation of the sensorimotor cortex was significantly enhanced when the DES was added, and the cortex activation for the DES-RA training was similar to that for the active training. Meanwhile, relatively consistent results from the multiple perspectives were obtained, which validates the effectiveness and robustness of the proposed proprioception analysis method. The proposed methods have the potential to be applied in the practical rehabilitation training to improve the rehabilitation efficiency.

External Financial Flows and Domestic Credit Volatility Effect on Industrialization in Selected African Countries

Countries all over the world focus on industrialization as a foundation for rapid economic development and unemployment reduction. Without stable external and domestic finance, we cannot achieve this goal. Financial volatility has an impact on a country’s industrialization process. The aim of this study is to determine how external and domestic credit volatility affect industrialization in Africa. Data for some selected countries for 1992–2020 was used. The author used the Prais-Winsten regression method with Panel Corrected Standard Errors (PCSE) to estimate and analyze the model. Descriptive and quantitative methods of analysis were also used to analyze the long-balanced panel data set for the 17 selected African countries with available data. The results showed a combination of positive and negative effects of financial volatility on industrialization in Africa. The study concludes that domestic credit volatility has adversely affected industrialization in Africa and recommends the development of financial institutions on the continent through recapitalization, skilled manpower development and innovative development of different financial instruments.

A comparative study of technological pedagogical content knowledge between special education and general education in China

ABSTRACT This study examined the technological pedagogical content knowledge (TPACK) profiles of teachers at special education schools for the blind and at general elementary schools in China. A total of 113 teachers in special schools and 193 teachers in general elementary schools were enrolled. A questionnaire was used as a quantitative method of data collection and analysis. The modified scale is appropriate for this investigation and has great reliability and validity. The results revealed that, regarding each dimension of TPACK, the competence of the general school teachers was significantly superior to that of the teachers in special schools. Data showed that most pathways to TPACK as proposed were supported, but there were some differences between the two groups of teachers. This study hopes to contribute some insight regarding the assistive technology application in curriculum teaching and design for teachers both at special schools and at general schools.

Predicting tactile sensory attributes of personal care emulsions based on instrumental characterizations: A review.

Emulsions in the form of creams, lotions, gels or foams are the most widely used personal care formulations to improve the condition and feel of the skin. Achieving an optimal balance between their performance, effectiveness and sensory profile is essential, with the sensory profile being a key factor in consumer satisfaction and the success of these products in the market. Well-established methods using highly trained and semi-trained panels (e.g. Spectrum descriptive analysis, Flash Profile method, Quantitative Descriptive Analysis method and 'Check-all-that-apply') are available and commonly used for the sensory assessment of personal care products. Nevertheless, a common drawback among all these methods is their inherent cost, both in terms of financial resources and time requirements. In recent years, research studies have emerged to address this limitation by investigating potential correlations between tactile sensory attributes and instrumental data associated with the physical characteristics of topical formulations. In other words, significant efforts have been invested in the development of robust instrumental methods specifically designed to accurately predict the sensory description that a panel of assessors could establish. These methods are not only faster, cheaper and more objective compared to traditional sensory testing, but they can also be applied to formulations that have not undergone extensive safety and toxicological testing. This review summarizes the most relevant findings, trends and current challenges in predicting tactile sensory attributes of personal care emulsions based on instrumental parameters.

PERTUMBUHAN DAN PERKEMBANGAN TANAMAN SAMAMA(Anthocepalus macrophyllus) DI DEMPLOT SUMBER BENIH DESA HATUSUA KECAMATAN KAIRATU KABUPATEN SERAM BAGIAN BARAT

The aim of this research is to determine the diameter increment and height increment, growth and development of Samama Plants (Anthocepalus marcophyllus) as well as environmental factors that influence the growth of Samama Plants (Anthocepalus marcophyllus). This research was carried out in Block III of Samama Plants (Anthocepalus marcophyllus) in the Seed Source Demonstration Plot in Hatusua Village, Kairatu District, West Seram Regency. Initial data was taken in January 2022 and continued with final data collection in July 2022. This research uses a quantitative analysis method by calculating the Average Annual Increment (MAI), current annual increment (CAI) and analysis simple regression. The results of further research show that the growth of Samama (AnthocepHalus marcopHyllus) plants in the seed source demonstration plot of Hatusua village, West Seram Regency with a Current Annual Rate (CAI) diameter in 2022 is 1.2 (cm/tnm/yr) and an average annual increase (MAI) diameter is 3.05 (cm/tnm/yr), current annual increment (CAI) is high, namely 1.77 (m/tnm/yr) and average annual increment (MAI) is high, namely 2.93 (m /tnm/yr). The development of the Samama plant in measurements in 2022, the walnut plant has developed. From the results of research in 2022, the growth of the Samama plant is at the pole and tree level. There are 8 trees on the pole with diameters ranging from 14.5 – 20.

Confronting the effects of climate change through development plans

In recent years, climate change as a consequence of global warming, has garnered significant attention. Therefore, serious measures must be considered in the development planning process to adapt to and reduce effects of climate change. This research evaluates six development plans in Isfahan, Iran in the face of climate change effects using a framework consisting of three components of the analytical Awareness-Analysis-Action (A-A-A) approach and using quantitative and qualitative content analysis methods. In fact, the evaluation of the level of attention of the development plans from the perspective of the level of reflection and attention to raising awareness about the issues of climate change, the ability to analyze the available climate information in a useful way to support planning decisions and the level of special actions to deal with these changes. Finally, out of the three elements of the approach, the highest amount of attention in the plans is related to the element of action with 67/70% and the lowest is related to the element of awareness with 39/10%. The overall evaluation of the development plans shows that their role in integrating climate change issues into urban planning in Iran is still limited and insufficient. On the other hand, air pollution and climate change are closely related, as chemicals that cause air quality deterioration often enter together with greenhouse gases. Therefore, it can be said that although indicators of the transportation dimension (A3-J) with 80.66%, resource management have been given special attention under the action component, but carbon sequestration dimension (A2-F) with 14.63%, under the analysis component that seeks to evaluate the amount of air pollutants, classification of the type and sources of emission of pollutants could not reflect more than half of the total percentage in all development plans.

An efficient method for quantitative analysis of the lipophilic rosemary extract applied in vegetable oils

An efficient method for quantitative analysis of the lipophilic rosemary extract applied in vegetable oils

Penalization and Color Code-Technical Approaches for Methods' Greenness and Whiteness Appraisal in Veterinary Medication: Assay of Toltrazuril Suspension.

Intestinal coccidiosis is a debilitating disease in poultry and livestock, leading to economic impact worldwide. Coccidiosis is prevented and treated in broilers by the inclusion of anticoccidials in feed. Toltrazuril is administered in potable water to treat coccidiosis. Three robust analytical methods for quantitation of toltrazuril in pure and pharmaceutical formulations are developed. Furthermore, ecological metrics; either penalization- or color-code-based techniques are applied for the appraisal of assays. Firstly, Second-Derivative (Δλ; 5 nm) spectrophotometric method; Toltrazuril is measured from peak to peak at 244-260 nm within a linearity range of 5-25 μg/mL. The second one is a high-performance thin-layer chromatography (HPTLC) analysis performed on an aluminum sheet of silica gel using ethyl acetate, methanol, ammonium chloride buffer, and water (8:1:0.5:0.5) (%V/V) as the elution phase. Toltrazuril, at a retardation factor of 0.66 ± 0.01, is linearly determined in the range of 1-9 μg/spot at 243 nm. The third one is Reversed Phase-HPLC-diode array detection, using Agilent column C18 (5 μm, 4.6 x 150 mm) in isocratic elution mode with a mobile phase of acetonitrile and water in a ratio of 80:20 (v/v), respectively, at 1 mL/min flow rate. Toltrazuril elutes at a retention time of 2.58 ± 0.1 min and is linearly determined at 243 nm in the range of 0.25-25 μg/mL. Calculated 2D-values and peak areas are highly correlated to their corresponding drug concentrations at coefficients; r > 0.999. All methods were ICH validated and applied to dosage form with satisfactory % recoveries (97-103%). Statistical comparisons reported one using t-test and F-test disclose insignificant variation. Examining greenness and whiteness norms, proposed methods were evaluated and ranked alongside four different reported methods. The proposed methods are green, accurate, and can be applied in routine quality control for the determination of toltrazuril in pharmaceutical formulations.

Problems and Prospects for the Development of Cluster Structuring in the Economy of Kazakhstan’s Agricultural Sector: Theory and Practice

This article discusses the issues of cluster policy formation in the Republic of Kazakhstan on the basis of studying the experience of leading countries. The research aim is to find new effective tools and institutions for the development of the cluster structuring of the agro-industrial complex economy of Kazakhstan. Cluster policy in the field of supporting regional clusters starts with the identification of already existing clusters in the region, because by viewing the regional economy through the prism of various local industries and innovative enterprises, regional authorities can identify measures of effective impact and support for their clusters. This research examines the possibilities of using clusters and cluster policy as one of the most important components of the policy for the development and support of small and medium-sized enterprises in Kazakhstan’s agro-industrial complex. The research methodology includes qualitative and quantitative data analysis methods, comparative analysis, and mathematical processing (the Pearson correlation coefficient), as well as the modeling of possible development scenarios. The obtained results show that there are significant opportunities for a wider involvement of small and medium-sized enterprises in the formation of cluster structures of the agro-industrial sector through joint efforts by the government and regional centers in the conditions of innovative development of the country’s economy.

Social Media Users’ Engagement with Fear Appeal Elements in Government’s Health Crisis Communication via State-Owned Media

Government health messaging is significant to the containment of public health crises. Such communication may benefit from using fear appeal, a message strategy for promoting health and preventing diseases. Yet little scholarly attention has been paid to how fear appeal is employed in government messaging to promote social media engagement through online actions including likes, shares, and comments. These actions play a meaningful role in addressing communication exigencies within the context of health crises. In this study, quantitative content analysis and corpus linguistics methods were employed to analyze fear appeal-related elements in COVID-19 messages sent by a state-owned media outlet on social media. The results show that when compared to messages without threat, messages conveying threat elicited significantly more comments, in which emotions and perceptions to threat and efficacy were exhibited, while messages containing both threat and efficacy generated more engagement in comparison to messages with threat alone. Moreover, while subdimensions under efficacy were positive predictors of engagement, those under threat were primarily found to have exerted negative effects. The findings provide insights into how fear appeal elements can be employed in government health crisis communication to engage the public.

Research on Power Cyber-Physical Cross-Domain Attack Paths Based on Graph Knowledge

Against the background of the construction of new power systems, power generation, transmission, distribution, and dispatching services are open to the outside world for interaction, and the accessibility of attack paths has been significantly enhanced. We are facing cyber-physical cross-domain attacks with the characteristics of strong targeting, high concealment, and cross-space threats. This paper proposes a quantitative analysis method for the influence of power cyber-physical cross-domain attack paths based on graph knowledge. First, a layered attack graph was constructed based on the cross-space and strong coupling characteristics of the power cyber-physical system business and the vertical architecture of network security protection focusing on border protection. The attack graph included cyber-physical cross-domain attacks, control master stations, measurement and control equipment failures, transient stable node disturbances, and other vertices, and achieved a comprehensive depiction of the attack path. Second, the out-degree, in-degree, vertex betweenness, etc., of each vertex in the attack graph were comprehensively considered to calculate the vertex vulnerability, and by defining the cyber-physical coupling degree and edge weights, the risk of each attack path was analyzed in detail. Finally, the IEEE RTS79 and RTS96 node systems were selected, and the impact of risk conduction on the cascading failures of the physical space system under typical attack paths was analyzed using examples, verifying the effectiveness of the proposed method.