Model Analysis Method Research Articles

Forecasting Macro-Economic Indicators Based on Text Information from Strategic Management Field in Russia

The current situation in economic activity is notable for exponential increase in accessible e-information and serious interest in its use in order to get competitive advantages. The article studies influence of information published in mass media on the essential social and economic indicators, which show key concepts of the system of strategic management in Russia. Methodological basis of the research was formed by theories of cognitive, topical modeling and regressive analysis. In the investigation the author used methods of topical modeling, machine education and statistical analysis of data. The author put forward the procedure of automated plotting of the cause-and-effect diagram based on qualitative and quantitative data. The system of causal links between key concepts of the system gave a chance to build forecast models of high accuracy. Findings of the research showed that topics being highlighted in mass media can influence social and economic indicators. Unfortunately, accidental events can make mathematic models, relying on system inertia, inadequate. In theoretical aspect the article proposes the procedure of automated building of the cause-and-effect diagram based on heterogeneous data, which can eliminate the problem of subjectivity of expert estimations in plotting cognitive maps. In applied aspect models of forecasting the most important social and economic indicators based on mass media publications were worked out that lean against cause-and-effect diagram and can support well-grounded managerial decisions and in case of necessity can affect the situation.

Analysis of surface deformation and related factors over mining areas based on InSAR: A case study of Fengcheng mine

Abstract. Ground surface deformation in mines affects mining production, damages the ecological environment, and endangers human safety. Mastering the detailed time series deformation and related triggering factors can provide key information for the safety of the mining area. Therefore, the Fengcheng mining area, a large and ancient coal mine in Jiangxi Province, China, was selected as the study area in this work, and the following research was conducted: 1. The accuracy and applicability of the Stacking, Small-Baseline Subset InSAR (SBAS-InSAR), and Interferometric Point Target Analysis (IPTA) methods were preliminarily explored while monitoring the annual deformation rate based on Sentinel-1A data from October 2019 to November 2022. 2. The time-series deformation of the Fengcheng mining area was obtained with SBAS-InSAR technology, and the sedimentation was validated with leveling results. 3. The correlation factors of deformation, such as rainfall and land cover, were studied, and the relationship between the influencing factors, such as coal mining dip angle, digital elevation, coal mining elevation, and deformation, was quantitatively explored with the Grey correlation model and Pearson correlation analysis method. The following conclusions were drawn: The SBAS method has the best adaptability in the dense vegetation mining area, and the root-mean-square error of the difference between deformation results and leveling data does not exceed 4mm. The evolution process of deformation centers is mainly divided into the stages of initial deformation, constant velocity deformation, accelerated deformation, and stable condition. Compared with the natural factors, the settlement of the Fengcheng mining area is mainly affected by human-induced mining and construction of artificial facilities.

Communicative potential of stop-motion animation in the practice of modern design

The relevance of the research is determined by the need to substantiate and implement effective visualnarrative media formats for creating effective visual communications capable of clearly conveying messages and ideas to the viewer. The purpose of the work is to reveal and evaluate the communicative potential of stop-motion animation in the context of audiovisual practices of modern design. Research methodology is formed by general scientific and special methods, in particular, comparative and historical analysis, scientific analysis and synthesis, methods of visual observation, modeling, art history and content analysis. The research substantiates the technical techniques, formal and artistic approaches of stop-motion and reveals their influence on the communicative potential of animation in the context of various project tasks. The effectiveness of the tools of stop-motion animation in modern audiovisual design practices for increasing the emotional involvement of the audience and improving the perception of content due to attractiveness and experimentation has been proven. The ability of stop-motion animation for detail, visual saturation, expressiveness and emotional expressiveness can play a key role in solving design problems where a deep narrative impact needs to be achieved. The paper substantiates the expediency of using the main technical techniques of stop-motion animation in the implementation of specific conceptual project tasks, in particular in short animated films of various genres, in advertising videos, in art projects, where the goal can be achieved due to the high artistic characteristics of the visual series, interactivity and emotional interaction with the viewer. The practical value of the work is determined by the possibility of implementing the research results into practical recommendations for the implementation of specific projects. The results of the research can be useful in the academic community for the further development of the theoretical foundations of stop-motion animation and the expansion of project approaches in educational courses related to audiovisual art and visual communication

Quality Evaluation of Equipment Maintenance Process Based on Interpretive Structure Model

Based on the "5M1E" analysis method, the maintenance process quality evaluation system was established, and then the interpretive structure model (ISM) was used to analyze the hierarchical relationship of the influence of each index factor on the maintenance process quality, and the rationality of the ISM model analysis method was verified through the analytic hierarchy process. The results show that maintenance equipment and facilities A4, assembly process A5 and spare parts quality A7 are surface factors of maintenance process quality. Raw material A3 and maintenance personnel A2 are the middle-level factors of maintenance process quality; Maintenance management system A1 and maintenance environment A6 are the deep factors of the quality of maintenance process, and are the influential factors to focus on and improve. In addition, the corresponding maintenance suggestions are given for each factor, which provides theoretical guidance for the formulation of equipment maintenance management procedures.

Toward dual carbon targets: Spatial correlation on comprehensive carbon emission index in urban agglomerations based on a new evaluation model

China is confronted with substantial pressure to mitigate its carbon emissions. Urban agglomerations assume a pivotal role in the attainment of carbon peaking and carbon neutrality. This study constructed a carbon emission evaluation model from the perspectives of total quantity, intensity, efficiency, population, and land. A modified gravity model and social network analysis method was used to analyze the spatial correlation characteristics of six urban agglomerations, clarified their carbon emission spillover effects, and explored their influencing factors using the quadratic assignment procedure method. The results are as follows. (1) The carbon emission correlations in the Yangtze River Delta, Pearl River Delta, and Chengdu-Chongqing urban agglomerations increased, while Beijing-Tianjin-Hebei, Central Plains, and Middle Reaches of Yangtze River urban agglomerations decreased. (2) From a macro perspective, the Yangtze River Delta and Pearl River Delta urban agglomerations were at the core of the network, and the “bridging” role of the Middle Reaches of Yangtze River urban agglomeration was evident. From a micro perspective, the cities in the middle of urban agglomerations were more likely to become network cores. (3) Spillover effects between plates were present in the correlation network, with a gradual balance between the reception and spillover relationships. Most urban agglomerations exhibited an uneven distribution of community correlation capacity. (4) Geographic adjacency and urbanization level significantly promoted carbon emission correlation, although the direction and magnitude of other factors’ influence varied. The findings contribute to the implementation of low-carbon planning, carbon reduction strategies and regional sustainable development.

A Comparative Study of Two Smartphone Applications and a Traditional Orthodontic Model Analysis Method

Introduction An orthodontic study used to determine whether teeth are positioned appropriately and whether there is an opportunity for orthodontic therapy or tooth extractions by model analysis. While certain manual model studies can be laborious and time-consuming, there are smartphone applications that can simplify the mathematical calculations necessary for orthodontic cast model analysis.  Objective The purpose of this research is to compare the outcomes and processing times of model analysis utilizing two smartphone apps, such as Model Analysis App and iModel Analysis, and the traditional technique.  Materials And Methods This is a comparative analytic study. The samples are made up of thirty dental casts that underwent several model studies, including as the Boltons, Ashley-Howe, Carey’s and Arch Perimeter assessments. A comparison in results and time was carried out for these model analyses using three methods - conventional method, iModel Analysis App and Model Analysis App.  Results The conventional technique gave results for a Bolton's overall ratio analysis of 3.3967±3.44579, iModel Analysis produced results of 3.4333±3.77709, while the Model Analysis app produced results of 4.6200±6.83744. The conventional technique yielded results for Bolton's anterior ratio analysis of 4.9133±5.81969; iModel Analysis produced results of 4.7700±5.57743; and the Model Analysis app produced results of 4.7500±5.59068. The results of arch perimeter discrepancy analysis for conventional method were 4.0000±3.15135, those for iModel Analysis was 4.0000±3.15135, and for Model Analysis app it was 4.0000±3.15135. The results of Carey’s discrepancy analysis for conventional method were 3.8667±2.59620, those for iModel Analysis was 3.8667±2.59620, and for Model Analysis app it was 3.8667±2.59620. The results of Ashley - Howe PMBAW% analysis for conventional method were 44.0200±3.71255, those for iModelAnalysis was 42.1367±5.74531, and for Model Analysis app it was 43.8133±3.71787. The results of Pont’s expansion analysis for conventional method, iModel Analysis and for Model Analysis app showed p value 0.114 (not significant = p>0.05). The results of period required for the analysis by conventional method were 903.3000±30.19951, while those for iModelAnalysis was 399.2000±42.94375, and for Model Analysis app it was 392.0333±35.58233.  Conclusion There was no critical distinction within the results of the examinations done by the different methods. However, there was a noteworthy contrast within the time duration required to carry out the examination by conventional methods and that of iModelAnalysis and Model Analysis App.

An innovative booster-assisted dynamically installed fish anchor and its installation characteristics considering the action of ocean currents

The fish anchor is an economically viable offshore foundation engineering technology that has been proposed in recent years. By fish anchor, we mean a fish-shaped dynamically installed anchor that can penetrate into the seabed through water by its own weight. However, the existing research studies seldom consider the hydrodynamic characteristics of its free fall installation, resulting in uncertainties regarding its underwater installation characteristics. Therefore, based on OpenFOAM, this study first investigated the directional stability of fish anchors during its underwater falling process through the static model analysis method and dynamic model analysis method. The findings indicated that the directional stability of fish anchors was insufficient, rendering them suitable only for release and installation at low heights (i.e., less than 4.2 times the anchor length) without marine environmental loads. Furthermore, the anchor inclination angle during installation is significant, thereby impacting its penetration depth and pull-out capacity in the seabed. To solve this problem, the concept of an innovative booster-assisted fish anchor is proposed, which can significantly enhance the directional stability of conventional fish anchors. Results show that the maximum installation height of the new booster-assisted fish anchor is increased by 2.4 times compared to the original design, thereby enhancing both the penetration speed and uplift capacity. Based on the findings, recommended installation and construction conditions are provided. Finally, a predictive formula for the installation height and verticality of the new booster-assisted fish anchor under current action is presented to offer guidance for engineering applications.

Hydrodynamic and bearing behaviors of two typical deepwater dynamically installed anchors: torpedo anchor and fish anchor

Dynamically installed anchors, such as torpedo and fish anchors, are innovative and cost-effective anchorage foundations. In this study, the advantages and disadvantages of these two types of dynamically installed anchors are discussed by comparing the hydrodynamic and bearing characteristics of torpedo and fish anchors commonly used in practical engineering. First, based on OpenFOAM, 3D numerical models were established to investigate the directional stability and simulate the underwater free-fall process of anchors using static and dynamic model analysis methods. Using the validated model, the hydrodynamic performances (i.e., inclination angle, installation offset distance, penetration velocity, and drag coefficient) of torpedo and fish anchors were explored and compared. Based on these findings, the installation height of each anchor was recommended. Finally, the bearing performances of the torpedo and fish anchors were investigated using ABAQUS, and the selection principles of these two types of dynamically installed anchors were presented based on their hydrodynamic and bearing behaviors.

Three-dimensional density model of the mantle beneath the Ukrainian shield

Purpose. Mantle density models are key tools for understanding the fundamental geological and physical processes occurring within the Earth and are essential to our scientific and applied understanding of the planet. Methodology. The tasks were solved by a complex research method, including analysis and generalization of literary and patent sources, analytical, experimental studies, using computer and mathematical modelling methods. Findings. One-dimensional models simplify the mantle density distribution by assuming that it is uniform only in the vertical direction. This limitation does not allow for horizontal variations in mantle density, which may be important on a regional scale. 3D models are more complex and require more data and computational resources, so their use may be limited. In this study, we present a quasi-three-dimensional model of mantle density beneath the Ukrainian Shield. This 3D model is obtained using a basic set of one-dimensional seismic tomographic velocity models calculated for 21 mantle domains in the depth range from 50 to 2,600 km. The process of converting the P-wave velocity model into a density model includes the following stages: 1) determining seismic boundaries in the mantle based on P-wave velocity curves for each mantle domain; 2) creating a synthetic mantle model beneath the Ukrainian Shield for the P,S-wave velocity curves; 3) solving the Adams-Williamson equation for each domain, considering polynomial corrections to extract heterogeneities during its solution; 4) analysing existing models by comparing the calculated gravitational potential at the central point of the Ukrainian Shield as the standard reference for selecting one of 5 reference models. Here, we focus on the final stages of constructing the mantle density model by: 1) balancing the mass of the upper and lower mantle for each domain when determining density using the Adams-Williamson equation and introducing polynomial corrections; 2) calculating densities for each of the 21 mantle domains and their 3D integration. Originality. The obtained mantle-density model of the Ukrainian Shield aligns well with the division of the mantle into three main layers: lithosphere, upper mantle, and lower mantle. Each of the mantle’s structural layers has its representation pattern in density heterogeneities. Anomalies of decreased density in the lithosphere of the Ukrainian Shield correlate with thermal anomalies, whereas anomalies of increased density correspond to tectonic zones dividing its megablocks. Practical value. Regions of increased density gradient are associated with mantle thrust faults, which in some cases can be boundaries between different petrological formations and serve as channels for magma ascent into the Earth’s crust at certain stages of geological development of the Ukrainian shield and, in turn, be sources of minerals.

Factors Affecting the Performance Marketing of Indonesian Farms Business in Entrepreneur Orientation

Factors Affecting the Performance Marketing of Indonesian Farms Business in Entrepreneur Orientation

Analysis of the benefits of artificial intelligence and human personality study on online fraud detection

Purpose Technology advancement has changed how banks operate. Modernizing technology has, on the one hand, made it simpler for banks to do their daily business, but it has also increased cyberattacks. The purpose of the study is to to determine the factors that have the most effects on online fraud detection and to evaluate the advantages of AI and human psychology research in preventing online transaction fraud. Artificial intelligence has been used to create new techniques for both detecting and preventing cybercrimes. Fraud has also been facilitated in some organizations via employee participation. Design/methodology/approach The main objective of the research approach is to guide the researcher at every stage to realize the main objectives of the study. This quantitative study used a survey-based methodology. Because it allows for both unbiased analysis of the relationship between components and prediction, a quantitative approach was adopted. The study of the body of literature, the design of research questions and the development of instruments and procedures for data collection, analysis and modeling are all part of the research process. The study evaluated the data using Matlab and a structured model analysis method. For reliability analysis and descriptive statistics, IBM SPSS Statistics was used. Reliability and validity were assessed using the measurement model, and the postulated relationship was investigated using the structural model. Findings There is a risk in scaling at a fast pace, 3D secure is used payer authentication has a maximum mean of 3.830 with SD of 0.7587 and 0.7638, and (CE2). Originality/value This study focused on investigating the benefits of artificial intelligence and human personality study in online transaction fraud and to determine the factors that affect something most strongly on online fraud detection. Artificial intelligence and human personality in the Indian banking industry have been emphasized by the current research. The study revealed the benefits of artificial intelligence and human personality like awareness, subjective norms, faster and more efficient detection and cost-effectiveness significantly impact (accept) online fraud detection in the Indian banking industry. Also, security measures and better prediction do not significantly impact (reject) online fraud detection in the Indian banking industry.

Investigating the financialization of water infrastructure in China: A public policy perspective

ABSTRACT Insufficient funding for water infrastructure has become a notable challenge for China and other developing countries. In light of marketization and globalization, financialization has emerged as a potential avenue to address the financial difficulties. This study employs the PMC index model and cluster analysis method to quantitatively analyze the financialization of water infrastructure in China through a lens of public policy lens. The findings suggest that financialization has become a significant trend in water infrastructure, with public policy playing a critical role in water infrastructure development. This study contributes to the novel possibilities for studying water infrastructure financialization and offers a reference to policymakers and professionals for optimizing water infrastructure development.

Analysis of Social Business Strategy (Case Study in Rumah Harapan Kita Foundation)

This research aims to create an overview of business strategies, identify business strategies using the social enterprise model canvas and SWOT models, and formulate appropriate business social business strategies. The object of this research is the Rumah Harapan Kita Foundation, which is one of the social businesses in Tasikmalaya City. The method used is qualitative with a case study approach. The types of data used are primary and secondary with data collection techniques using observation techniques and unstructured interviews. Primary data was obtained from an in-depth interview process with the Rumah Harapan Kita Foundation, while secondary data was obtained from documents, websites, and foundation archives. The informant for this research is the CEO and Director of Entrepreneur of Rumah Harapan Kita Foundation. Data analysis uses the model analysis method from Miles and Hubermen (1992), namely: reducing data as a form of data sorting; processing data as data presentation; and verifying the conclusions of the data that has been analyzed. The research results show that the Rumah Harapan Kita Foundation's business strategy has not been structured systematically. Then, based on the results of the analysis using SWOT and SEMC, 8 SEMC elements need to be developed. So the formulation of Rumah Harapan Kita Foundation's business strategy is focused on the elements of customer segments, value propositions, channels, customer relationships, revenue streams, key activities, key partners, and impact & measurement.

Coupling support technique for coal roadway under double gobs in close coal seams

AbstractIn the process of lower coal roadway support under double gobs in close coal seams, there are problems such as the whole destruction of the lower coal seam and the intermediate strata, the thin roof of the lower coal roadway with the smaller support space, the upper rock of the lower coal roadway without anchor bearing layer, the roof falling, the anchor cable offing, and so on. On the basis of the engineering background of No. 11103 haulage roadway in Fenxi coal mine, the research methods of theoretical modeling analysis, numerical simulation analysis and field engineering test are comprehensively adopted. In this paper, the layout of the roadway with floor insertion in the lower coal seam, the distribution characteristics of surrounding rock deviatoric stress, the control principle of broken surrounding rock and the coupling support method of shed–cable–prop are systematically studied. The study shows that many measures are needed to ensure the stability of the surrounding rock in the strong mining roadway of the lower coal seam. The lower coal seam roadway section was modified from the original rectangular section to adopt an arched section to counteract the broken roof. The staggered position of the lower coal seam roadway layout was modified from the original coal roadway position to a coal–rock roadway, so as to avoid the area of high deviatoric stress in the coal pillar and the area of crushed coal body, and to leave an effective support space for the roof. The support scheme of the lower coal seam roadway was improved to use anchor cable and single prop to support the weak section of U‐type steel shed with local coupling, and realize unequal force coupling by adjusting the size of the force at different coupling points. In the field monitoring the deformation of the roadway is small, and the support effect is good.

What role does information capacity play in the tourism livelihood of farm households in ethnic villages?

Abstract Tourism livelihood has become an essential livelihood decision for people to get rid of poverty. Under the background of the internet era, it is of great significance to study how ethnic village farm households can participate in tourism livelihood with the help of information capacity. Applying the Resource Orchestration Theory and taking Guolan Yao Village in Jiangyong County of Hunan Province as an example, this paper uses binary logistic regression model and fuzzy set qualitative comparative analysis method to explore the mechanism of farm households’ information capacity affecting their tourism livelihood. The findings are as follows: Firstly, in addition to financial capital, other livelihood capital and information capacity have a significant impact on farm households’ participation in tourism livelihood. Secondly, when financial capital is lacking, farm households in ethnic villages with information capacity can unite with human capital, social capital, natural capital or physical capital to make up for the non-existent defect of financial capital and help realize tourism livelihood. Thirdly, when human capital is lacking, farm households in ethnic villages with information capacity can make up for the absence of human capital by combining natural capital, financial capital and social capital to help realize tourism livelihood.

The role of peer-to-peer interactions in sharing accommodation: From cocreation experience to peer customer engagement

Taking a service-dominant logic, the sharing accommodation business model consists of two forms of value cocreation: experience cocreation during the accommodation service and peer engagement behaviors after its end. Experience cocreation based on peer-to-peer interactions (P2P interactions) is the key to unlocking the competitive advantage of sharing accommodation. However, the understanding of P2P interactions and how they influence peer engagement behaviors is still limited. We systematically deconstruct P2P interactions and explore their impact on peer engagement behaviors using a dataset of 13217 reviews, a correlated topic model analysis method, and a linear mixed-effects model. Our results show that interpersonal interactions (relationship-oriented social interactions and transaction-oriented functional interactions) have a stronger positive effect on peer engagement behaviors than the physical environment. Social interactions and the physical environment have substitution effects on the impact of peer engagement behaviors. Furthermore, offline interactions positively moderate the impact of P2P interpersonal interactions on peer engagement behaviors.

The Influence of Long-term and Short-term Variables on the Oil Prices, Money Supply, Policy Rates, Output Gaps, Rupiah Exchange Rate and Gross Fixed Capital Formation on Inflation in Indonesia

This study examines the influence of long-term and short-term variables on oil prices, money supply, policy rates, gross fixed capital formation (PMTB), rupiah exchange rate against the dollar, and output gaps on inflation in Indonesia. Indonesia is one of the countries with the highest population in the world as well as one of the countries with the most significant oil wealth in the world. However, Indonesia is still classified as a developing country. One of the indicators in a country’s economy is the inflation rate. This study used secondary data from 2006:Q1-2018:Q4 with the Error Correction Model (ECM) analysis method. The result of this study is that the variable oil prices and money supply in the short and long term have a positive and significant effect on Indonesia’s inflation. In the short and long term, variable policy rates negatively and significantly impact Indonesia’s inflation. Gross fixed capital formation and the output gap in the long and short term have an insignificant positive impact on Indonesia’s inflation.

Antecedents of Behavioral Intention to Adopt Sharia Digital Services in ZISWAF Distribution

Research Originality: Indonesia, the fourth-most populous country after India, China, and the USA, has the largest Muslim population in the world, with a population of 231 million Muslims, or almost 13% worldwide. The number of millennial Muslim generations is around 59.415 million, or 85 percent of the total number of millennials, making it a potential market. This paper contributes to the existing behavioral intention literature by focusing on the integration of Acceptance and Use of Technology 2 (UTAUT2), Diffusion of Innovation (DOI) theory, and Perceived Security (PS) theory towards sharia digital services.Research Objectives: This research examines the antecedents of behavioral intention to adopt sharia digital services in ZISWAF distribution among the millennial Muslim generation in Indonesia.Research Methods: This study used a quantitative approach with the Structural Equation Modeling (SEM) analysis method and involved 350 respondents in Indonesia. By adopting the theories of Theory of Acceptance and Use of Technology 2 (UTAUT2), Diffusion of Innovation (DOI) theory, and Perceived Security (PS).Empirical Results: The study results show that performance expectancy, habit, price value, and compatibility have a positive and significant effect on behavioral intention to adopt sharia digital services in ZISWAF distribution. Furthermore, the price value variable is the strongest predictor of behavioral intention to adopt sharia digital services in ZISWAF distribution.Implications: This research has important meaning for the Indonesian government, ZISWAF institutions, and application providers because it provides valuable insight into considering accelerating ZISWAF distribution among the millennial Muslim generation.JEL Classification: Z12, L31How to Cite:Hariyanto., Ratnasari, R. T., Rusgianto, S., & Pitchay, A. A. (2024). Antecedents of Behavioral Intention to Adopt Sharia Digital Services in ZISWAF Distribution. Etikonomi, 23(1), 109 – 128. https://doi.org/10.15408/etk.v23i1.33892.

Effect of short video storytelling on festival attractiveness: the moderating role of temporal orientation and novelty

ABSTRACT Short video storytelling has become an important channel for destination marketing. However, how to take advantage of short video storytelling to enhance festival attractiveness is unclear. Based on narrative transportation theory, this study analysed 494 questionnaires through the hybrid exploration method of structural equation model (SEM) and fuzzy-set qualitative comparative analysis (fsQCA), to deeply explore the mechanism and conditional configuration of short video storytelling affecting festival attractiveness. The findings reveal that the effect of short video storytelling on festival attractiveness is significant, and partly mediated by narrative transportation. Moreover, compared with future-oriented people, present-oriented people are more likely to immerse themselves in short video storytelling and be attracted by festivals. Additionally, novelty, a core condition for high festival attractiveness, significantly strengthens the effects of storytelling and narrative transportation on attractiveness. Overall, this study expands the theoretical knowledge of short video storytelling in festival marketing and supports destination managers to formulate effective short video marketing strategies for destination festivals.

EEG analysis in patients with schizophrenia based on microstate semantic modeling method.

Microstate analysis enables the characterization of quasi-stable scalp potential fields on a sub-second timescale, preserving the temporal dynamics of EEG and spatial information of scalp potential distributions. Owing to its capacity to provide comprehensive pathological insights, it has been widely applied in the investigation of schizophrenia (SCZ). Nevertheless, previous research has primarily concentrated on differences in individual microstate temporal characteristics, neglecting potential distinctions in microstate semantic sequences and not fully considering the issue of the universality of microstate templates between SCZ patients and healthy individuals. This study introduced a microstate semantic modeling analysis method aimed at schizophrenia recognition. Firstly, microstate templates corresponding to both SCZ patients and healthy individuals were extracted from resting-state EEG data. The introduction of a dual-template strategy makes a difference in the quality of microstate sequences. Quality features of microstate sequences were then extracted from four dimensions: Correlation, Explanation, Residual, and Dispersion. Subsequently, the concept of microstate semantic features was proposed, decomposing the microstate sequence into continuous sub-sequences. Specific semantic sub-sequences were identified by comparing the time parameters of sub-sequences. The SCZ recognition test was performed on the public dataset for both the quality features and semantic features of microstate sequences, yielding an impressive accuracy of 97.2%. Furthermore, cross-subject experimental validation was conducted, demonstrating that the method proposed in this paper achieves a recognition rate of 96.4% between different subjects. This research offers valuable insights for the clinical diagnosis of schizophrenia. In the future, further studies will seek to augment the sample size to enhance the effectiveness and reliability of this method.