Fuzzy Matter-element Analysis Research Articles

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.

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.

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.

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.

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.

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.

Comparative study on the gastrointestinal- and immune- regulation functions of Hedysari Radix Praeparata Cum Melle and Astragali Radix Praeparata cum Melle in rats with spleen-qi deficiency, based on fuzzy matter-element analysis

Context Hedysari Radix Praeparata Cum Melle (HRPCM) and Astragali Radix Praeparata Cum Melle (ARPCM) are used interchangeably in clinics to treat spleen-qi deficiency (SQD) symptom mainly including gastrointestinal dysfunction and decreased immunity, which has unknown differences in efficacy. Objective To investigate the differences between HRPCM and ARPCM on intervening gastrointestinal- and immune-function with SQD syndrome. Materials and methods After the SQD model was established, the Sprague–Dawley (SD) rats were randomly divided into nine groups (n = 10): normal; model; Bu-Zhong-Yi-Qi Pills; 18.9, 12.6 and 6.3 g/kg dose groups of HRPCM and ARPCM. Gastrointestinal function including d-xylose, gastrin, amylase vasoactive intestinal peptide, motilin, pepsin, H+/K+-ATPase, Na+/K+-ATPase, sodium-glucose cotransporter 1 (SGLT1), glucose transporter 2 (GLUT2) and immune function including spleen and thymus index, blood routine, interleukin (IL)-2, IL-6, interferon-γ (IFN-γ), tumour necrosis factor-α (TNF-α), immunoglobulin (Ig) M, IgA, IgG and delayed-type hypersensitivity (DTH) were detected. Finally, the efficacy differences were analysed comprehensively by the fuzzy matter-element method. Results In regulating immune, the doses differences in efficacy between HRPCM and ARPCM showed in the high-dose (18.9 g/kg), but there were no differences in the middle- and low- dose (12.6 and 6.3 g/kg); the efficacy differences were primarily reflected in levels of IL-6, IFN-γ, TNF-α and IgM in serum, and the mRNA expression of IL-6 and IFN-γ in the spleen. In regulating gastrointestinal, the efficacy differences were primarily reflected in the levels of D-xylose, MTL, and GAS in serum, and the mRNA and protein expression of SGLT1 and GLUT2 in jejunum and ileum. Discussion and conclusions HRPCM is more effective than ARPCM on regulating gastrointestinal function and immune function with SQD syndrome. Therefore, we propose that HRPCM should be mainly used to treat SQD syndrome in the future.

Mathematical Evaluation on the Control of Mining-Induced Ground Subsidence in Thick Loose Strata.

Coal mining under thick loose strata in North China leads to ground subsidence, which is a natural result of hydromechanical coupling (fluid flow coupled with solid deformation). Therefore, the land surrounding the mining areas is greatly damaged. In this study, the combined weight (CW) method and the fuzzy matter-element analysis (FMEA) method were used to analyze and evaluate the control effect of subsiding land. Overall, 20 sets of geological samples were collected from this area. The influencing factors and the corresponding weights for the control effect of subsiding land were comprehensively analyzed, and an FMEA model was built to predict and verify the results. The results showed that (1) the two evaluation indicators with the most significant impact on land reclamation were the degree of integration and the economic and social benefits and (2) among the 20 sets of samples selected, the predicted conclusions of 17 sets were consistent with the actual engineering situations, which led to an accuracy of 85%. In other words, the CW-FMEA model showed good reliability for evaluating the control effect of subsiding land, which can provide scientific references for control and quality evaluations of land subsidence due to coal mining.

Application of Fuzzy Matter Element Analysis to the Evaluation of Circulation Efficiency of Agricultural Products

This article builds an evaluation indicator system based on the process of agricultural circulation and the balance of many-sided benefits. A new classification of indicator types was made from the perspective of benefit balance, and gross profit margin and inventory-sales ratio were classified as interval indicators, which enriched the indicator types. The matter-element analysis method is used to measure the circulation efficiency of agricultural product wholesale markets. The study found that in terms of geographical location, in the vertical direction of Aihui-Tengchong Line, the closer to the southeast, the higher the circulation efficiency; Since 2016, the overall circulation efficiency has almost stagnated, mainly because the wholesale industry has strengthened its ability to control upstream and downstream relationships, and the entry barriers of agricultural products have been continuously increased.

Technologies selection to prevent and control excrement pollution from livestock and poultry farming in Huang-Huai-Hai Region

Taking nitrogen, phosphorus, heavy metals and antibiotics as selection indicators, the fuzzy matter element analysis based on the entropy weight method was used to evaluate and select the technologies to prevent and control excrement pollution from intensive livestock and poultry farming in the Huang-Huai-Hai (HHH) Region, with the combination of Euclid approach degree. The results showed that the N change rate and the passivation rate of heavy metals in the excrement pollution treatment technologies accounted for higher weights, indicating that the difference between N and heavy metals in different treatment technologies was large. When choosing treatment technology, priority could be given to the technologies to prevent and control N and heavy metals. According to the final evaluation results, the technology of multi-level ecological and in-depth treatment was better for the liquid manure, while the technology of reactor composting was better for the treatment of solid manure.

Ecological Vulnerability Evaluation Model of Sichuan-Tibet Railway Based on Fuzzy Matter-element Analysis

In order to identify the ecological conditions of Sichuan-Tibet Railway, based on the vulnerability evaluation framework of “exposure-sensitivity-adaptation”, this paper selects 20 evaluation indexes including temperature, precipitation, snowfall, herb coverage, total number of plant species, population density and per capita GDP, and establishes a multi-element and multi-attribute comprehensive evaluation system. The comprehensive evaluation system is divided into eight basic judgment indexes, and the weight is determined based on the fuzzy matter-element analysis method. The basic judgment index scores are obtained through cluster analysis, and the ecological vulnerability evaluation model is established. It is expected to provide theoretical reference for the construction of Sichuan-Tibet Railway in ecologically fragile areas to protect and improve the ecological environment.

Selection and application of the most suitable method for sustainable utilization of water resources assessment

Evaluation of the regional sustainable use of water resources (SUWR) is one of the core issues for studying regional sustainable development strategy. In the process of evaluation, it is crucial to select a reasonable and applicable evaluation methods to improve the reliability of evaluation results. In this paper, the index system of SUWR was established by coupling eco-environment, socioeconomic and water utilization system. The dipartite degree theory (DD) and the serial number synthesis theory (SNS) were applied for selecting the suitable sustainability assessment method among six evaluation methods. The selected method was used for analyzing the spatial difference in Fujian Province, China. Results indicated that (1) based on different evaluation methods for the SUWR, the stability and reliability of fuzzy matter-element analysis are higher than those of fuzzy comprehensive evaluation, attribute recognition, improved rank correlation, principal component analysis and grey relation analysis; (2) The regions with a higher level of SUWR are concentrated in the west of the research area, while the eastern regions have a lower level. The highest sustainable level of water resources was 0.647, in Longyan city and the lowest level was 0.399, in Xiamen city; (3) The superimposition effects of water resource conditions, topography and economic development level formed the spatial distribution pattern of sustainable utilization level. The results may provide scientific guidance for the effective evaluation of regional SUWR, water resources management and government decision-making.

Fuzzy Matter-element Analysis Model of IP-influence Based on EFA-Euclid Approach Degree

With the rise of Intellectual Property (IP) films, IP influence has become one of the important criterias to consider whether an IP film has development value[1]. The influence of the IP films is a fuzzy concept, and its evaluation is not only affected by a variety of factors(both qualitative and quantitative indicators), but also has the problem of incompatible of single indicator evaluation. Based on the actual situation of China’s IP film market and the characteristics of literary works IP, this paper constructs an evaluation index system of the influence of IP films. On the basis of fuzzy matter-element analysis theory, the exploratory factor analysis is introduced into the weight calculation, and combined with the Euclid approach degree, the fuzzy matter-element model based on EFA-Euclid Approach Degree is established, which sorts the IP influence according to the size of the relative paste progress, and the evaluation result is more objective and reasonable. This model ranks IP influence according to the relative approach degree, and the evaluation results are more objective and reasonable.

SDGs-Based River Health Assessment for Small- and Medium-Sized Watersheds

A river health assessment index system was established, focusing on the realistic needs of county sustainable development and the refined management of small- and medium-sized watersheds. The index system takes into consideration the United Nations’ Sustainable Development Goals (SDGs) and the vulnerability characteristics of small- and medium-sized watershed ecosystems and consists of 15 indicators in four areas: clean water, sanitation, the present status of biodiversity and threats to biodiversity. This paper uses the minimum discrimination information principle to construct a dynamic combination-weighting technology composed of a subjective weighting method (document frequency method) and an objective weighting method (entropy weight method). Using the fuzzy matter-element analysis theory, a comprehensive river health assessment technology system was constructed. Baoxing County was chosen as the research area and the results reveal that: (1) Key indicators are the biodiversity index of fish, water use intensity, endemic or indicative species retention, and chemical oxygen demand (COD) emissions. (2) The Euclid approach degree of Baoxing County indicates that the entire river is in a moderate state of health. In the future, towns must take targeted measures to coordinate the relationship between the ecological environment and socio-economic development, and enhancement and releasing must be prioritised.

Multi-Objective Parameter Optimization Dynamic Model of Grinding Processes for Promoting Low-Carbon and Low-Cost Production

Grinding is widely used in mechanical manufacturing to obtain both precision and part requirements. In order to achieve carbon efficiency improvement and save costs, carbon emission and processing cost models of the grinding process are established in this study. In the modeling process, a speed-change-based adjustment function was introduced to dynamically derive the change of the target model. The carbon emission model was derived from the grinding force using regression. Considering the constraints of machine tool equipment performance and processing quality requirements, the grinding wheel’s linear velocity, cutting feed rate, and the rotation speed of the workpiece were selected as the optimization variables, and the improved NSGA-II algorithm was applied to solve the optimization model. Finally, fuzzy matter element analysis was used to evaluate the most optimal processing plan.

Evaluation on the Stability of Vertical Mine Shafts below Thick Loose Strata Based on the Comprehensive Weight Method and a Fuzzy Matter-Element Analysis Model

Damage to mine shafts located below thick loose aquifers, caused by coal seam mining, can seriously affect the operational safety of mines. In view of such a problem, the comprehensive weight method and the fuzzy matter-element analysis method were used to analyze and evaluate the stability of mine shafts below thick, loose aquifers. Based on data relating to shaft structure parameters collected from fifteen damaged shafts in coal mines in East China, a comprehensive analysis was performed. The results showed that (1) the two indexes of surface subsidence velocity and water level drop value at the bottom of a loose aquifer have a large influence on the stability of shafts below thick loose aquifers, and (2) the predicted results of thirteen sets of samples were the same as the results measured during actual production; the accuracy of the model was 86.67%. The comprehensive weight method and the fuzzy matter-element analysis model both show good reliability for evaluating the stability of mine shafts below thick loose aquifers and can provide a scientific reference for the analysis of the stability of mine shafts in areas with thick loose strata, as well as for the design of comprehensive control plans that could subsequently be implemented.

Method on condition assessment of pitch system based on fuzzy matter-element analysis

In order to improve the real-time reliability of wind turbine and solve the effect of artificial factors, fuzzy matter-element analysis is proposed. The pitch system, which has high failure rate, is researched in this paper. The condition assessment model of pitch system is built in two steps: (1) To avoid the subjective judgment of the parameter distribution, this thesis uses 3σ rule and quartile analysis method to get the boundary data sets. The ANFIS algorithm is used to train the data to reduce the extreme value, and results of multi-feature fault detection are obtained. (2) Results from fault detection are applied in condition assessment model based on fuzzy matter-element analysis to realize the unification of fuzzy value of detection result and grade assessment. The method is applied to test the actual operation state of wind turbine. The results show that it can obviously reflect the pitch system and has better assessment effects.

Air Traffic Management Process Quality Assessment Model Based on Improved Fuzzy Matter Element Analysis

In order to improve the service quality of the air traffic management system, the accurate air traffic management process quality assessment can identify the weak links in the process of interaction with the user, and timely make early warning, evaluation and feedback to avoid the risks of the air traffic control system. Based on the actual situation of air traffic control, the related factors affecting the quality of air traffic service process are analyzed. The process indicators covering the four aspects of human, machine, environment and management are selected and the fuzzy comprehensive evaluation model is established. Based on the improvement of the membership function. Finally, through the analysis and verification of the example, the result is in line with the actual situation of the operation of the air traffic control system, and provides a reference for improving the quality of air traffic control services.

A Novel Method of Complexity Metric for Object-Oriented Software

With the rapid development and wide application of multimedia technology, the demand for the actual development of multimedia software in many industries is increasing. How to measure and improve the quality of multimedia software is an important problem to be solved urgently. In order to calculate the complicated situation and fuzziness of software quality, this paper introduced a software quality evaluation model based on the fuzzy matter element by using a method known as the fuzzy matter element analysis, combined with the TOPSIS method and the close degree. Compared with the existing typical software measurement methods, the results are basically consistent with the typical software measurement results. Then, Pearson simple correlation coefficient was used to analyse the correlation between the existing four measurement methods and the metric of practical experience, whose results show that the results of software quality measures based on fuzzy matter element are more in accordance with practical experience. Meanwhile, the results of this method are much more precise than the results of the other measurement methods.