Matter-element Analysis Research Articles

Traffic Safety Evaluation of Downstream Intersections on Urban Expressways Based on Analytical Hierarchy Process–Matter-Element Method

This study aimed to explore the traffic safety evaluation model for downstream intersections of urban expressway exits and make up for the shortcomings in safety research on downstream intersections of urban expressway exits. We constructed a comprehensive traffic safety evaluation index system, established a traffic safety evaluation model, and divided precise safety evaluation levels using the AHP–Matter-Element analysis method, establishing a traffic safety evaluation index system consisting of eleven indicators. The effectiveness of this method was validated through an assessment of traffic safety at the intersection of Dongsheng Street and Free Road in Changchun City. A theoretical basis for improving traffic safety at downstream intersections of urban expressways and a reference for subsequent related research were provided.

Establishment and application of the environment evaluation model for beneficiation plant

In order to evaluate the beneficiation plant environment in a more scientific and reasonable way, this paper took the workshop environment of the beneficiation plant as the research object. This paper divided the beneficiation plant into 7 evaluation units according to its functions. The evaluation indices are dust, noise, light environment, microclimate, benzene, toluene and xylene. This paper combines the G1 method and the entropy weight method to evaluate the weight of each evaluation index, the element extension model of the concentrator working environment is established by the element analysis method, and the matter element analysis method is used to establish an evaluation index system of a beneficiation plant in East China. The results show that the evaluation level of the breaking workshop and the auxiliary facilities are unqualified, the auxiliary facility is qualified, the culling workshop, culled yard and accessory building are medium, the screening workshop and grinding workshop are good.

Energy efficiency and energy-saving evaluation methods for public building energy systems under the dual carbon background

The energy consumption characteristics and energy system structure of each type of building are different, so the evaluation methods and indicators need to be customized for different types of buildings, which increases the complexity of the evaluation. Therefore, a method for evaluating the energy efficiency and energy conservation of public building energy systems under the dual carbon background is proposed. Analyze the coupling coefficient data of energy quality, energy and flow, obtain the base of energy efficiency optimization coefficients, and use twin technology to establish a comprehensive energy efficiency model. Introduce matter element analysis and use matter element extension models to evaluate the energy efficiency and energy-saving effects of public building energy systems. The experimental test results show that the research method can accurately evaluate the energy consumption of public buildings and has an effective evaluation effect on different types of buildings.

Network pharmacology and experimental verification reveal the mechanism of Hedysari Radix and Curcumae Rhizoma with the optimal compatibility ratio against colitis-associated colorectal cancer

Ethnopharmacological relevanceThe herb pair Astragali Radix (AR) and Curcumae Rhizoma (vinegar-processed, VPCR), derived from the traditional Chinese medicine (TCM) text ‘Yixuezhongzhongcanxilu’, have long been used to treat gastrointestinal diseases, notably colitis-associated colorectal cancer (CAC). Hedysari Radix (HR), belonging to the same Leguminosae family as AR but from a different genus, is traditionally used as a substitute for AR when paired with VPCR in the treatment of CAC. However, the optimal compatibility ratio for HR-VPCR against CAC and the underlying mechanisms remain unclear. Aim of the studyTo investigate the optimal compatibility ratio and underlying mechanisms of HR-VPCR against CAC using a combination of comparative pharmacodynamics, network pharmacology, and experimental verification. Materials and methodsThe efficacy of different compatibility ratios of HR-VPCR against CAC was evaluated using various indicators, including the body weight, colon length, tumor count, survival rate, disease activity index (DAI) score, Haemotoxylin and Eosin (H&E) pathological sections, inflammation cytokines (IL-1β, IL-6, IL-10, TNF-α), tumor markers (K-Ras, p53), and intestinal permeability proteins (claudin-1, E-cadherin, mucin-2). Then, the optimal compatibility ratio of HR-VPCR against CAC was determined based on the fuzzy matter-element analysis by integrating the above indicators. After high-performance liquid chromatography (HPLC) analysis for the optimal compatibility ratio of HR-VPCR, potential active components of HR-VPCR were identified by TCMSP and the previous bibliographies. Swiss Targets and GeneCards were adopted to predict the targets of the active components and the targets of CAC, respectively. Then, the common targets of HR-VPCR against CAC were obtained by Venn analysis. PPI networks were constructed in STRING. GO and KEGG enrichments were visualized by the David database. Finally, the predicted pathway was experimentally validated via Western blot. ResultsVarious compatibility ratios of HR-VPCR demonstrated notable therapeutic effects to some extent, evidenced by improvements in body weight, colon length, tumor count, pathological symptoms (DAI score), colon and organ indexes, survival rate, and modulation of inflammation factors (IL-1β, IL-6, IL-10, TNF-α), as well as tumor markers (K-Ras, p53), and down-regulation of intestinal permeability proteins (claudin-1, E-cadherin, mucin-2) in CAC mice. Among these ratios, the ratio 4:1 represents the optimal compatibility ratio by the fuzzy matter-element analysis. Thirty active components of HR-VPCR were carefully selected, targeting 553 specific genes. Simultaneously, 2022 targets associated with CAC were identified. 88 common targets were identified after generating a Venn plot. Following PPI network analysis, 29 core targets were established, with AKT1 ranking highest among them. Further analysis via GO and KEGG enrichment identified the PI3K-AKT signaling pathway as a potential mechanism. Experimental validation confirmed that HR-VPCR intervention effectively reversed the activated PI3K-AKT signaling pathway. ConclusionsThe optimal compatibility ratio for the HR-VPCR herb pair in alleviating CAC is 4:1. HR-VPCR exerts its effects by alleviating intestinal inflammation, improving intestinal permeability, and regulating the PI3K-AKT signaling pathway.

Retracted: Measurement of Entropy Evaluation Method and Matter-Element Analysis Model

Retracted: Measurement of Entropy Evaluation Method and Matter-Element Analysis Model

Can Technological Innovation and Financial Agglomeration Promote the Growth of Real Economy? Evidence from China

In the backdrop of China’s evolving economic landscape, the real economy confronts a myriad of challenges, both domestically and on the global front. Technological innovation, characterized by its capital intensity and the unpredictable nature of its returns, stands as a pivotal force poised to rejuvenate nascent sectors and overhaul the existing industrial framework. Parallel to this, financial agglomeration emerges with a bifurcated function: it not only directly propels the real economic trajectory but also exerts an indirect influence via the channels of technological advancement. Delving deep into this interplay, our study dissected data collated from 30 major provinces and cities across mainland China, spanning the years 2011 to 2018. We employed the nuanced techniques of fuzzy matter–element analysis combined with the location entropy method. By anchoring our findings on a spatial econometric model, we uncovered the intricate dynamics of how technological ingenuity and financial clustering drive real economic growth, shedding light on the spatial reverberations that ripple across regions. Building on the tangible empirical evidence reflecting the trajectory of technological innovation and financial agglomeration within China, this article distills and presents the salient conclusions drawn from the investigation.

Holistic Life-cycle Cost-benefit Analysis of Green Buildings: A China Case Study

Green buildings, compared with conventional ones, can mitigate the rapid growth of China's carbon emissions. They offer many advantages, such as saving resources and reducing negative environmental impacts. However, few studies have assessed their incremental costs and social benefits. This study comprehensively analyzed the incremental costs and benefits of green buildings in China through the life cycle stages of preparation, design, construction, and operation-management. The Analytic Hierarchy Process and Matter Element Analysis were jointly applied to establish a comprehensive green-building cost-benefit evaluation system. Based on expert judgment, an embracive two-level index scheme and a three-step grading strategy were developed. A residential case study tested the applicability of the model. It yielded the largest share of incremental cost in the construction phase at 90.5%. The economic benefits accounted for the largest proportion of incremental benefits at 72.22%, meeting the green building criteria and achieving the highest 3-star rating. The study has developed a full life-cycle costing methodology for green building design and quantified the benefits at each stage. The findings offer the theoretical and practical basis to refine the assessment of green building projects and improve green building performance to meet sustainable development goals.

Spatiotemporal patterns and driving mechanism of tourism ecological security in Guangxi, China

Tourism ecological security (TES) is an important index reflecting the sustainable development of the regional economy. The construction of the China and ASEAN Free Trade Area has increased the total tourist consumption of Guangxi province by 36.48%. Unfortunately, overconsumption of resources, air pollution, disturbance of indigenous life, and other environmental degradation problems emerged due to the significant increase in tourists. Measuring the resilience of the tourism ecosystem is an urgent need to promote the high-quality development of tourism in Guangxi. To explore the dynamic changes in TES and its driving mechanism, the DPSIR (driver–pressure–state–impact–response) model for the tourism ecosystem was developed. The dynamic changes in TES and its driving mechanism from 2010 to 2019 were analyzed using fuzzy matter-element analysis, Markov chains, Geodetector, and other methods. The results show that: (1) the TES value increased steadily by 72.73%; the improvement speed was Northeast > Southwest > Southeast > Northwest; (2) TES was negatively correlated with location, 14 cities developed independently; (3) the TES has a smaller probability to shift the lower level; (4) urbanization, water consumption, green area, tourism revenue, and the number of students in colleges had significant effects on TES. Four policies were proposed to improve TES: (1) developing forest tourism; (2) implementing greening projects in abandoned mining areas; (3) increasing tourism technical personnel; and (4) reducing clearance time for inbound tourists.

Health status assessment of large complex equipment based on matter-element analysis of equipment historical service environment information

As the level of basic manufacturing increases, large complex equipment often has a high reliability level, leading to a lack of failure data and a more difficult health status assessment. Equipment history service environment information is the natural environment in which the equipment is located, which has an important impact on the health status of the equipment. This paper proposes a method for evaluating the health status of large complex equipment based on a matter-element analysis model using equipment historical service environment information. It can integrate statistically obtainable environmental information, such as temperature and humidity, with non-statistically obtainable environmental information, such as salt spray and random shock, and jointly achieve a quantitative evaluation of the health status of the equipment. The evaluation results show that the method can better integrate the influence of incompatible environmental indicators on the health status of equipment, which is of great significance for making scientific and reasonable decisions on the maintenance of large complex equipment.

Assessing the Land Reclamation Suitability of Beam Fabrication and Storage Yard in Railway Construction: An AHP-MEA Method.

Railway construction contributes to socio-economic development but causes the occupation and destruction of land resources. How to effectively restore the temporary land and achieve efficient and rational reuse therefore becomes particularly important. The beam fabrication and storage yard (BFSY), as a large temporary facility during railway construction, occupies a large area of land. However, BFSYs damage the land in the way of pressing and may harden the ground to a high degree due to the use of high-density pile foundations, adversely affecting the soil properties. Therefore, this research aims to develop a model for evaluating the land reclamation suitability (LRS) of BFSY. The LRS evaluation indicator system of BFSY was firstly constructed based on the literature review and expert interviews. Then, an indicator-based model for assessing the LRS of BFSY was developed by integrating the analytic hierarchy process (AHP) model and the matter-element analysis (MEA) model. A case project in China was chosen to demonstrate and validate the developed model, and results show that the proposed model can rationally evaluate the LRS of BFSY in railway construction. The findings of this research enrich the knowledge system of sustainable railway construction and guide construction managers to conduct practical suitability assessments of land reclamation.

A Performance Evaluation System for PPP Sewage Treatment Plants at the Operation-maintenance Stage

Sewage treatment plants are essential in improving the quality of receiving water bodies, contributing to healthy and sustainable urban development. The increasingly common public-private partnership (PPP) model of sewage treatment facilities may not yield the expected benefits, often compromised by inadequacies in the complex operation-maintenance stage. Holistic criteria and methods to define and judge a plant's performance are lacking. To fill the knowledge gap, this study established a performance evaluation system applicable to the critical operation-maintenance stage of China's PPP sewage-treatment industry. First, the range of quantitative and qualitative indicators was surveyed by literature review, and an appropriate subset was selected according to expert judgment. Second, the multilevel extension principle of matter-element analysis was combined with the analytic hierarchy process to determine the performance level and establish a comprehensive, efficient and practical evaluation system. The proposed method was tested on two PPP plants to confirm its applicability and reliability in assessing operation-maintenance functions. The study identified the diagnostic criteria to refine the design, operation and maintenance parameters to optimize plant performance. The findings provided an assured and comprehensive quality control scheme and a practical tool for governments and other parties to assess the service delivery quality of PPP plants.

Spatio-Temporal Evolution of City Resilience in the Yangtze River Delta, China, from the Perspective of Statistics

The development of resilient cities has become a critical global issue with respect to the stimulation of sustainable economic, social, and ecological advancement. The Yangtze River Delta region, which is the most densely populated region in China, is undergoing the fastest urbanization and is achieving the highest level of economic development in the country. Thus, it is of great theoretical and practical significance to study the evolution of spatiotemporal city resilience in this region. For this study, the resilience of 41 core cities in the Yangtze River Delta in China from 2010 to 2020 was evaluated through a combination of game weighting and fuzzy matter-element analysis. Subsequently, the spatiotemporal differences in city resilience were revealed via the Dagum Gini coefficient and the Kernel density model. Further, the driving factors of city resilience were analyzed by a geographic detector model. The results revealed the following: (1) The resilience of the cities under study experienced a gradual upward trend (with Shanghai being consistently in the lead) and significant differences occurred between them. (2) The Dagum Gini coefficient indicated that the resilience of cities in the western portion of the Yangtze River Delta was quite diverse. This phenomenon was primarily due to the differences between sub-regions, for which the differences between the southeast and northwest were the most prominent. (3) The Kernel density indicated the absolute differences across the entire Delta as well as the northern sub-region, and there was a significant polarization phenomenon in the southern and western sub-regions. (4) Driving factor analysis revealed that the driving force of the income levels of residents was stronger and more stable, the driving force of economic development level was weakened, and the driving force of medical and health conditions, the degree of openness, and energy utilization efficiencies were strengthened. Overall, the driving factors of city resilience became more diversified and complex. Consequently, the Yangtze River Delta needs to improve city resilience levels in the northwest region in order to promote its balanced development. Our results suggested that more attention should be allocated to the improvement of the livelihoods of urban residents, the adjustment of energy consumption structures, and the optimization of the provision of medical resources.

Research on Service Quality Evaluation of College Express Collection Point Based on AHP Matter Element Analysis

Online shopping has become a major part of the purchasing power of college teachers and students, so it is particularly important to study the service quality evaluation of college express collection points. Therefore, this paper based on AHP matter element analysis to evaluate the service quality of college express collection points. Through an example of the service quality of a college express collection point in Tibet, it shows that the AHP matter element analysis method is feasible and operable in the evaluation of the service quality of college express collection points.

Model design and jacquard stitches’ heat-moisture performance of warp-knitted fully formed head mask

The warp-knitted fully formed products are widely popular because of their fast production speed, seamless, beautiful patterns, and wearing comfort. The structure and performance of the warp-knitted head mask influence the wearer’s physiological and psychological state. In this article, according to the structure of the human head, a warp-knitted fully formed head mask technology model was established. Afterward, the article designed nine kinds of jacquard stitches and tested heat-moisture performance. A comprehensive evaluation system for the heat-moisture performance of jacquard stitches was installed based on a fuzzy matter-element analysis model. The all-around heat-moisture performance of nine kinds of jacquard stitches was evaluated, and the factors affecting the heat-moisture performance of jacquard stitches were analyzed. The research aims to provide a reference for the structure optimization and performance research of warp-knitted fully formed head masks.

Research on the Measurement of Logistics Capability of Core Cities along “the Belt and Road” in China

The B&R strategy came into being to promote the free and orderly flow of economic factors, the efficient allocation of resources, and the depth of market integration. Logistics is the artery of element circulation and the basis of the B&R. The logistics capacity of core cities along the R&B will be an essential factor affecting the strategy. In this context, it is of practical significance to measure the logistics capacity of the core cities along the B&R. Since combing domestic and overseas research, this paper first uses clustering analysis to screen out nine core cities along the B&R and then uses fuzzy matter-element analysis to measure their urban logistics capacity and sort them. The results show that the urban logistics capacity in the eastern coastal areas of China is higher than that in northwest and southwest China. The logistics capacity of cities along “The 21st Century Sea Silk Road” is more robust than that of others and through the urban agglomeration could further achieve economies of scale. The logistics capacity of cities along the “Silk Road Economic Zone” should improve the construction of logistics infrastructure and enhance logistics information in the future.

Developing a Decision Support Evaluation Model Based on the Matter Element Analysis Method to Optimize the Environmental Flows in Dammed Rivers

The large number of dams in the world has caused many ecological problems, especially in ecologically fragile areas. Appropriate environmental flow (e-flows) releases reduce stress on river ecosystems caused by the flow alterations of dams. As e-flow releasing is substantially a decision-making process, it is important to choose the right calculation method in many e-flow assessment frameworks and calculation methods or to select the proper e-flow result from many scenarios. In China, there are government guidelines to assist managers in choosing an e-flow method for their situations, but the technical components of these guidelines are too general and not very specific, even though the coverage of the framework of guidelines is comparatively complete. Thus, a high degree of subjectivity remains in the method selection, and managers are often confused about the different e-flow results and scenarios. A more detailed decision support evaluation (DSE) model which can quantify and compare the results from different calculation methods is therefore needed to provide a basic technical economy evaluation. Based on the relevant policies and the dam priority classification frameworks in China, we propose a DSE model based on the matter element analysis (MEA) method to complement the Chinese e-flow framework. First, the flow regime criteria from the related government guidelines for a variety of conservation objectives are summarized. Secondly, different scenarios of e-flows are calculated based on the formal government guidelines and using the same hydrological database. Finally, the DSE model for assessing the different e-flow scenarios are built and demonstrated. MEA helped to quantify and optimize the different results and reduce the uncertainty. The DSE model presented in this study can be applied to e-flow optimization for all dammed rivers in China and serve as a decision support tool for managers.

Evaluation of the oil-bearing drilling cuttings processing technology in petrochemical industry under cleaner production: A case study in China

The oil-bearing drilling cuttings (OBDC) produced in the petrochemical industry contain a large number of hydrocarbons, and their direct discharge will not only fail to recover the organic matter, but will also seriously harm the environment. In the process of treating OBDC, the consumption of resources and energy and pollution problems may arise, and the current clean production focusing on reduction, non-hazardous and resourcefulness has become the focus of achieving sustainable development. However, there is a lack of studies that consider treatment technology, resource consumption and utilization, and environmental impact under the perspective of cleaner production. In this paper, by studying the indicators related to cleaner production and the Driving Force-Pressure-State-Impact-Response (DPSIR) model, an evaluation index system for OBDC processing technology in the petrochemical industry under cleaner production is constructed. The evaluation results can provide reference for the selection of OBDC treatment process, and provide direction for the development and promotion of the treatment process. In the evaluation system, the DPSIR model can evaluate and manage the OBDC process from different levels and perspectives. The combination of the G1 method and the C-OWA operator method was used to calculate and analyze the index weights, and the improved matter-element analysis method was used to comprehensively evaluate the treatment of OBDC to determine the treatment of technical methods. The evaluation system is applied to actual cases in China. The results show that the low-temperature extraction technique was the best and the chemical washing method was the lowest compared with the three treatment techniques. The oil removal rate of OBDC, recovery of organic matter, secondary waste gas pollution and other indicators have a great impact on the evaluation of the OBDC treatment process under clean production. In order to contribute to the optimal recovery and utilization of resources, it is recommended to develop improvements to the treatment pair technology treatment process based on the results of the evaluation.

Study on evaluation and construction of ecological livable cities in western underdeveloped areas—Take Guiyang as an example

<p>Building a sustainable, ecological, and livable city is the inevitable choice of current urban development. The evaluation of ecologically livable cities plays an important role in guiding the construction direction and development trend of ecologically livable cities. From the aspects of economic development, infrastructure, ecological environment, and social people’s livelihood, build an urban ecological livable evaluation index system, use the entropy weight method to determine the index weight, and use the matter-element analysis method to build an evaluation model to evaluate the construction of ecological livable cities in Guiyang City, Guizhou Province, from 2005 to 2015. Research shows: that from 2005 to 2015, the level of ecological livability in Guiyang increased significantly, realizing the development transformation from “not livable” to “ideal livable”, but the level of “ideal livable” was unstable in 2015. The key factors restricting the construction of an ecologically livable city in Guiyang are the insufficient area of urban roads, the low comprehensive utilization rate of industrial solid waste, and the insufficient investment in the transformation and protection of the ecological environment. The matter-element model can not only obtain the comprehensive quality information of the research object but also reveal the differentiation information of individual indicators, which is suitable for the evaluation of ecologically livable cities.</p>

Evaluation Model of Telemedicine Service Quality Based on Machine Sensing Vision

INTRODUCTION: At present, the common telemedicine service quality evaluation methods can not obtain the key evaluation indicators, which leads to the low accuracy and low user satisfaction. OBJECTIVES: This paper constructs a telemedicine service quality evaluation model based on machine vision technology. METHODS: Machine vision technology is used to obtain telemedicine service information, preliminarily select service quality assessment indicators, complete the selection of indicators, build a telemedicine service quality assessment indicator system, adopt subjective and objective combination method to calculate the weight of service quality assessment indicators, and combine matter element analysis method to build a telemedicine service quality assessment model. RESULTS: The experimental results show that the Cronhach a is higher than 0.7, the Barthel index is higher than 90, and the satisfaction of many users is more than 90%. CONCLUSION: The proposed method solves the problems existing in the current method and lays a foundation for the development of telemedicine service technology.

Ecological vulnerability assessment of the Ya’an-Qamdo section along the southern route of the Sichuan-Tibet transportation corridor

Identifying the ecological vulnerability of the sensitive and fragile ecosystem of the Ya’an-Qamdo section along the southern route of the Sichuan-Tibet transport corridor is of paramount importance to reduce environmental damage resulting from infrastructure construction. This paper divided the Ya’an-Qamdo transport section into 22 subzones according to their ecological environment characteristics. Based on the vulnerability evaluation model established by the fuzzy matter-element analysis method, the eight main assessment indicators of ecological vulnerability were windstorm, rainstorm, snowstorm, extreme temperature, extreme air pressure, geological hazard, natural conditions, and social resources. The rating and ranking of vulnerability in each subzone were based on the weight of the judgment indicators. Scientific processes were used to verify the rationality of both the indicators themselves and their weights. The results of this study show that subzone 9, located in the subalpine cold and humid forest and scrubland zone, is the most vulnerable, and subzone 1, located in the low- to mid-land warm and humid forest zone, is the least vulnerable. The conclusion of the study suggests that targeted measures of ecological protection should be formulated before development and construction of major transportation infrastructure. Construction should evade the most vulnerable areas, and in-depth research on ecological restoration should be carried out in low- to mid-vulnerability areas so that the ecological environment along the route can be protected effectively for sustainable economic and social development.