Actual Situation Research Articles

The usage and costs of national drug price-negotiated anticancer medicines in a first-tier city in Northeast China: a study based on health insurance data

BackgroundThe National Drug Price Negotiation (NDPN) policy has entered a normalisation stage, aiming to alleviate, to some extent, the disease-related and economic burdens experienced by cancer patients. This study analysed the use and subsequent burden of anticancer medicines among cancer patients in a first-tier city in northeast China.MethodsWe assessed the usage of 64 negotiated anticancer medicines using the data on the actual drug deployment situation, the frequency of medical insurance claims and actual medication costs. The affordability of these medicines was measured using the catastrophic health expenditure (CHE) incidence and intensity of occurrence. Finally, we used the defined daily doses (DDDs) and defined daily doses cost (DDDc) as indicators to evaluate the actual use of these medicines in the region.ResultsDuring the study period, 63 of the 64 medicines were readily available. From the perspective of drug usage, the frequency of medical insurance claims for negotiated anticancer medicines and medication costs showed an increasing trend from 2018 to 2021. Cancer patients typically sought medical treatment at tertiary hospitals and purchased medicines at community pharmacies. The overall quantity and cost of medications for patients covered by the Urban Employee Basic Medical Insurance (UEBMI) were five times higher than those covered by the Urban and Rural Resident Medical Insurance (URRMI). The frequency of medical insurance claims and medication costs were highest for lung and breast cancer patients. Furthermore, from 2018 to 2021, CHE incidence showed a decreasing trend (2.85–1.60%) under urban patients’ payment capability level, but an increasing trend (11.94%–18.42) under rural patients’ payment capability level. The average occurrence intensities for urban (0.55–1.26 times) and rural (1.27–1.74 times) patients showed an increasing trend. From the perspective of drug utilisation, the overall DDD of negotiated anticancer medicines showed an increasing trend, while the DDDc exhibited a decreasing trend.ConclusionThis study demonstrates that access to drugs for urban cancer patients has improved. However, patients’ medical behaviours are affected by some factors such as hospital level and type of medical insurance. In the future, the Chinese Department of Health Insurance Management should further improve its work in promoting the fairness of medical resource distribution and strengthen its supervision of the nation’s health insurance funds.

Research and Analysis on Policy Governance Based on Traffic Congestion in Beijing

This paper proposes three-game models to improve Beijing's traffic environment through the analysis method of game theory. First, the author examines the impact of improving drivers' moral character on alleviating traffic congestion. Second, this paper focus on the role of improving the public transportation environment in reducing road stress. Finally, this research examines the possibility of mitigating traffic congestion through a reward-punishment system. Comprehensive analysis of the results of these three game models, this paper conclude that a single policy of license restriction and traffic restriction is not enough to solve the traffic congestion problem in Beijing, and multiple policy measures need to be considered comprehensively. However, these policy measures also face some challenges and limitations, including time and education investment, people's travel needs and transportation network layout, and the design and implementation of the reward and punishment system. Therefore, future research and policy development need to further explore these issues and find more comprehensive and feasible policy solutions. Finally, this article recommends that the Beijing Municipal Government comprehensively consider the results of different game models and formulate comprehensive policy measures based on the actual situation, including improving road transportation facilities, encouraging green travel methods, and promoting intelligent transportation systems. Through these efforts, it is expected to improve Beijing's traffic environment, enhance citizens' travel experience, and achieve the goal of sustainable urban transportation.

Bayesian maximum entropy interpolation analysis for rapid assessment of seismic intensity using station and ground motion prediction equations

In this paper, we explored the combination of seismic station data and ground motion prediction equations (GMPE) to predict seismic intensity results by using Bayesian Maximum Entropy (BME) method. The results indicate that: 1) In earthquake analysis in Japan, soft data has predicted higher values of intensity in disaster areas. BME corrected this phenomenon, especially near the epicenter. Meanwhile, for earthquakes in the United States, BME corrected the erroneous prediction of rupture direction using soft data. 2) Compared with other spatial interpolation methods, the profile results of Japan earthquake and Turkey earthquake show that BME is more consistent with ShakeMap results than IDW and Kriging. Moreover, IDW has a low intensity anomaly zone. 3) The BME method overcomes the phenomenon that the strength evaluation results do not match the actual failure situation when the moment magnitude is small. It more accurately delineates the scope of the disaster area and enriches the post-earthquake processing of disaster area information and data. BME has a wide range of applicability, and it can still be effectively used for interpolation analysis when there is only soft data or few sites with data available.

Effect of Moisture Content and Wet–Dry Cycles on the Strength Properties of Unsaturated Clayey Sand

Based on the actual situation of the project on the Weihai–Yanhai Expressway section of Rongwu Expressway, the effects of water content change and the dry–wet cycle on the mechanical behavior of unsaturated clayey sandy soil were analyzed in this study. In this study, ventilated undrained triaxial shear tests were carried out on unsaturated clayey sandy soils with different water contents (6%, 8%, 10%, 12%, 14% and 16%). Concurrently, the soil samples were subjected to three distinct wet and dry cycle pathways (2~22%, 2~12%, and 12~22%) to gain an understanding of how the mechanical features of the soil changed under the different conditions. The test findings demonstrate that when the water content increases, the unsaturated clayey sandy soil’s cohesiveness and shear strength diminish. The strength of shear decline exhibits a pattern of first being quick, followed by sluggish. The strength of shear and cohesiveness of clayey sandy soil declined under the influence of the dry and wet cycles, with the first cycle primarily affecting variations in cohesiveness and strength of shear. Furthermore, the strength of shear and cohesiveness of clayey sandy soil diminish more with increasing wet and dry cycle amplitude and upper water content limits. Lastly, the drying shrinkage and hygroscopic expansion of clay particles in clayey sandy soils during wet and dry cycles are not significant, resulting in less structural damage and deterioration of the mechanical properties of the soils. The study’s findings have a significant impact on the durability of roadbeds made of unsaturated clayey sandy soil in both wet and dry situations.

The evolution of traditional ancient towns in South China: Tangjiawan Ancient Town in Zhuhai city

ABSTRACT Based on the urban morphology theory of the Conzen School and the actual situation of the Tangjiawan Ancient Town, a morphological process analysis of the Tangjiawan Ancient Town was conducted. The end result is a visualization of the process of urban form evolution. The first objective is to describe the morphological framework of Tangjiawan Ancient Town and the morphological changes that occurred during its development. The current urban landscape is divided into units by superimposing morphological units, building types, and land use. The results of the division also reflect the morphological development, structure, and compositional characteristics of the ancient city of Tangjiawan. Using Tangjiawan Ancient Town in Zhuhai city as an example, on-site research, historical evidence, urban morphology analysis methods, and interviews were used to elaborate and analyze the spatial structure and evolution process of traditional ancient towns in South China. In particular, morphological units, building types, and land use are included. The morphological map of the Tangjiawan ancient town is inconsistent with the current economic-oriented development of ancient town planning. This shows that current planning is less concerned with the physical form of architectural heritage, which may lead to further damage to the landscape of the ancient town. This study provides a strong reference for the follow-up planning of ancient town protection of the same type from the perspective of morphology and area and provides ideas for the subsequent preparation of protection plans.

Research on a work zone model with metering zone under mixed traffic flow environment

In the upstream of the highway work zone, vehicles will change lanes automatically or forcibly, which has complexity and randomness. Most studies fail to consider the impact of actual mixed traffic characteristics on traffic flow. For example, the dependence of the lane-changing behaviors of Connected and Automated Vehicles (CAVs) on the length of the zone is ignored in upstream of work zone. In addition, it is assumed that vehicles in the merge lane of the work zone would “yield” or not consider an impact on vehicles in the through lane. This simplifies the complex dynamics of the interaction between the two streams of traffic, which leads to the results of the study and the actual situation inconsistency. Based on the Gipps model, the adaptive cruise control (ACC) and the collaborative adaptive cruise control (CACC) vehicle-following models, this paper proposes a continuous cellular automata model under Vehicle-Road Collaboration and studies the mixed traffic flow characteristics in the work zone. By setting a metering zone before the lane reduction sign, ACC/CACC can adjust headway by obtaining road information in advance. The simulation results indicate that ACC/CACC vehicles have better following response compared to human-driven vehicles. In other words, the platoon composed of ACC/CACC vehicles has stability and can improve the traffic capacity of the work zone. The results of the study also found that the insertion of vehicles from adjacent lane into the ACC/CACC vehicles platoon is detrimental, especially when the penetration rate [Formula: see text] is high. Furthermore, when the length of the metering zone [Formula: see text] is set at 120–150[Formula: see text]m, it can significantly improve the road congestion in the work zone.

An accurate trajectory tracking method for low-speed unmanned vehicles based on model predictive control

Trajectory tracking on a low-speed vehicle using the model predictive control (MPC) algorithm usually assumes a simple road terrain. This assumption does not correspond to the actual road situation, leading to low tracking accuracy. Therefore, a trajectory tracking method considering road curvature based on MPC is proposed in this paper. In this method, the controller can automatically switch between MPC types. Linear model predictive control (LMPC) is selected for small road curvatures, while nonlinear model predictive control (NMPC) is employed for large road curvatures. In addition, the NMPC algorithm in this work considers the effect of road curvature on tracking accuracy, making it suitable for tracking time-varying curvature roads. To verify the feasibility of the algorithm, simulation comparisons with the basic MPC model were carried out at different testing roads and vehicle longitudinal speeds. The results indicate that the method significantly improves trajectory tracking accuracy, all while ensuring real-time calculations. The intelligent switching capability of control models based on road curvature allows its application to track trajectories on arbitrarily complex roads.

Finite element analysis of the biomechanical effects of anterior and posterior cervical fusion surgery for bilateral cervical dislocation

Lower cervical spine injuries often manifest as lower cervical vertebral fractures and dislocations, as well as lower cervical facet joint dislocations. Especially in cases of bilateral facet joint dislocations, it is important to rapidly and effectively relieve spinal cord and nerve root compression to prevent secondary spinal cord injury, while also providing reliable and long-lasting stability to the injured segment after surgery. Combined anterior and posterior approaches have the advantages of both pure anterior or posterior approaches, but the actual situation is complex and variable, making systematic theoretical analysis crucial. This study, with bilateral facet joint dislocation of the C6 segment and cervical spinal cord injury as the research background, established a three-dimensional model of the cervical spine C3-C7 after implementing four types of anterior-posterior combined surgeries. The four surgical approaches consist of four combinations: anterior parallel or inclined screw placement combined with posterior Margel or Anderson method screw insertion. Through finite element method, a systematic comparative analysis of the theoretical effects of the four combined surgeries in treating bilateral facet joint dislocation of the cervical spine was conducted. The conclusion was that the variations in the four combined fixation methods have a certain impact on the biomechanical characteristics of the intervertebral disc nucleus. There is a clear mutual influence relationship among anterior and posterior fixation instruments. Based on the model used in this study, it is recommended to use a torque greater than 2.1 nm to tighten the locking nut of the posterior rod to ensure reliable internal fixation.

Three-dimensional finite element analysis of the biomechanical properties of different material implants for replacing missing teeth.

The purpose of this study was to analyze the biomechanical properties of implants made of different materials to replace missing teeth by using three-dimensional finite element analysis and provide a theoretic basis for clinical application. CBCT data was imported into the Mimics and 3-Matic to construct the three-dimensional finite element model of a missing tooth restored by an implant. Then, the model was imported into the Marc Mentat. Based on the variations of the implant materials(titanium, titanium-zirconia, zirconia and poly (ether-ether-ketone) (PEEK))and bone densities (high and low),a total of eight models were created. An axial load of 150N was applied to the crown of the implant to simulate the actual occlusal situation. Both the maximum values of stresses in the cortical bone and implant were observed in the Zr-low model. The maximum displacements of the implants were also within the normal range except for the PEEK models. The cancellous bone strains were mainly distributed in the apical area of the implant, and the maximum value (3225μstrain) was found in PEEK-low model. Under the premise of the same implant material, the relevant data from various indices in low-density bone models were larger than that in high-density bone models. From the biomechanical point of view, zirconia, titanium and titanium-zirconia were all acceptable implant materials for replacing missing teeth and possessed excellent mechanical properties, while the application of PEEK material needs to be further optimized and modified.

Influence of Higher Education E-Service Quality on E-Learning Student Satisfaction; As Moderated By Digital Literacy: A Mixed Method Research Approach

Introduction: This paper explores the impact of college e-service quality on student satisfaction in the context of the innovative practice of "Internet + Education" in order to research whether there is any difference in students' perception of college e-service quality under the influence of different levels of digital literacy. The research object of this paper is students of universities in Kunming, and the SERVQUAL model is extended. Among them, the independent variables are the five dimensions of e-service quality. The dependent variable is online education student satisfaction. The moderating variable is digital literacy. This research is based on relevant service theories. A combination of quantitative and qualitative methods is used. The results of the research show that the impact of service quality on college students' e-learning satisfaction is different under different levels of digital literacy. Objective: The research objective of this paper is to investigate the impact of the quality of e-services in higher education on student satisfaction in order to research whether there are differences in students' perceptions of the quality of e-services in higher education under the influence of different levels of digital literacy. Theoretical Framework: This research was expanded with the SERVQUAL model and followed the exploratory sequential mixed methods process of scientific investigation, from the initial selection of variables to the final discussion of recommendations and countermeasures. Method: In this study, the scientific survey process of exploratory sequential mixed methods was used to research the satisfaction of college students with online education based on the theory of digital literacy and service quality, using college students in Kunming, China, as the target of the survey, and a combination of quantitative and qualitative research methods. Results and Discussion: The results of the analysis showed that the independent variable: the five factors of e-services (the higher, the higher the satisfaction of students. And under the moderating variable, digital literacy moderated all the other factors, only the relationship between responsibility and e-learning student satisfaction had no significant moderating effect. [synthesize the main results of the research]. In the discussion section, these results will be correlated according to the theoretical framework, highlighting the identified effects and relationships. This section also considers possible limitations of the research. Research Implications: 1. theoretical significance: by constructing a comprehensive theoretical model, this research aims to provide new insights into the field of e-learning. It not only helps to understand the impact of E-learning platform design and service quality, but also emphasizes digital literacy as an important moderating variable. 2. Practical significance: The research results will provide value to educational technology developers and educational policy makers, helping them to optimize e-learning platforms to enhance user experience and learning outcomes. Originality/Value: This research expands the SERVQUAL model by taking online education as the background, combining the actual situation of online education in China, and taking digital literacy as the variable. It allows colleges and universities to break through the original traditional education model. And lifelong learning and personalized learning are the focus of the reform of continuing education in colleges and universities. The results of this research will promote colleges and universities to continuously improve the quality of online education and provide reference for schools and teachers to carry out online education and continuing education.

The analysis of the factors influencing the operation of the piston wind in the cage of the hybrid hoisting shaft and the simulation study of the operation effect

The mixed shaft in the mine is used as the main inlet and return air shaft and also as the lifting shaft. The piston wind effect caused by the frequent operation of large and efficient lifting equipment in the shaft will disturb the normal air flow in the shaft and cause the air flow disorder. So It is important to study influencing factors and the series of piston effects of inner cage operation in the hoisting shaft. This paper firstly derives a theoretical model of piston wind for double cage operation in a wellbore based on the non-constant flow theory of Bernoulli’s equation, and derives the influencing factors of piston wind. Then, according to the actual situation of the mine, a 3D fluid simulation model of cage hoisting is established. Based on the verified simulation method, the transient division of labor of piston wind effect and its influencing factors is simulated and the influence of various factors on the development law of piston wind is analyzed in detail. The study results show that the main factors influencing the piston wind are the cage operating conditions, the cage operating speed, the shaft blockage ratio and the initial ventilation speed in the shaft. The operation of the cage produces an eddy current zone, which causes air flow disorder in the wellbore and affects the ventilation effect of the shaft. The piston wind speed is the highest when the cage running against the wind, while the speed is lower running with the wind. The most complex wind flow disturbance occurs when the two cages meet, which is almost block the flow of wind in the shaft. The change of cage operating speed and wellbore blockage ratio is related to the piston wind speed and pressure changes linearly in different conditions. There is the best blockage ratio between the hoisting cage and the shaft, which can cause the highest average ventilation speed in the shaft, and the best blockage ratio of the study model is 0.32.

„Podatek od bycia kobietą?”, czyli tak zwane podatki: różowy i od tamponów. Analiza porównawcza stanu faktycznego w Polsce i Stanach Zjednoczonych

This article presents the problem of price discrimination resulting from different taxation of hygiene products intended exclusively for use by menstruating people. The analysis includes a comparison of the actual situation in Poland and the United States in terms of taxation of peri-menstrual hygiene products, such as tampons, sanitary pads, pads, as well as basic hygiene products. The article raises the issue of the existence of the "Pink Tax" in Poland and its connection with gender marketing, i.e. the use of gender differences to direct products to specific target groups.

Coastal Tidal Flat And Tidal Current Observation Based On Satellite Remote Sensing

Satellite remote sensing has been an effective way to acquire surface image sequences of costal field, and the satellite video at a frame rate of multiple frames per second could provide chance for short-time observations at high temporal resolution such as the observation of surface tidal currents. The observation of surface tidal currents has been facilitated by advanced image preprocessing methods and large-scale image velocimetry, while the space-time volume velocimetry (STVV) was used in this study. STVV can simultaneously obtain the direction and magnitude of the flow velocity through the surface texture without any artificial tracers, hence it is considered as a promising method. Since it has only been proposed in recent years, this study evaluated the accuracy of the STVV algorithm and tested the robustness of the STVV to environmental disturbance factors firstly. The simulated image sequences were used so that the exact accuracy of STVV can be known by comparing the measured and ground truth values since the ground truth of the pixel flow velocity is predictable and modifiable. The effects of the two main STVV parameters, the size of the search area and the selected frames of images, on the results were analyzed, and the robustness against image noise and fog was examined. The size of the search area and selected frames of images were found having the similar effects on the calculation results that the larger both are, the higher the calculation accuracy will be. Although the lower Signal-to-noise ratios lead to more inaccurate results, STVV is robust to image noises from the results in the given cases. Additionally, the accuracy of STVV is acceptable for a small amount of mist, but thicker fog results in large errors. Further research to develop image processing methods to improve the accuracy of STVV in the future is highly necessary. Therefore, based on one satellite video with the frame rate of 10fps and the resolution of 0.95m shooting on September 15th, 2017, surface tidal current observation of the New York Harbor during the flood tide using STVV was achieved. The flow velocity magnitude can reach 3m/s, and the flow direction is consistent with the actual situation. The feasibility of surface tidal current observation using STVV from the satellite video was proved

Reform and Innovation of College English Teaching Under the Background of Mobile Internet and Big Data

The rapid development of mobile Internet has brought new development opportunities to college education and teaching. Taking university English teaching as the research object, this paper analyses the characteristics of mobile Internet in the classroom, WeChat platform, English learning app and other forms of teaching, the changes and influence of mobile Internet on English teaching, and its application in university English teaching. According to the actual teaching situation, a comprehensive evaluation system based on the learning process and results was established. The results show that the university English teaching model based on mobile Internet and the innovative evaluation and examination system can effectively improve the teaching efficiency and students' independent and sustainable learning ability. Through the reform of university English teaching, students' academic performance and learning ability have been improved. The research results are of great practical significance for promoting the reform and innovative practice of university English teaching.

The relationship between perceived social support and rumination among parents of children with autism: moderating effect of the degree of intervention received by children

ObjectiveAs the number of children diagnosed with autism rises year by year, the issue of nurturing this particular group becomes increasingly salient. Parents of autistic children, as the nearest and most reliable caregivers for their children, shoulder immense psychological strain and accountability. They are compelled to confront an array of daily life challenges presented by their children, as well as endure multiple pressures such as societal scrutiny and financial burdens. Consequently, the mental health status of the parents is of utmost significance.MethodsIn this study, questionnaire survey combined with literature analysis were applied. The rumination thinking scale and the social support scale were used to investigate the relationship between social support perceived by parents of autistic children and rumination. Meanwhile, the moderating effects of intervention on children with autism were also explored. It hopes that our research would provide a basis for alleviating psychological stress and improving the mental health levels of the parents. A total of 303 parents of children with autism were collected (including 160 females and 143 males). Corresponding data analyses were conducted using SPSS 26.0.ResultsParents of autistic children generally exhibited high levels of rumination, with significant gender differences. At the same time, the perceived social support by the parents significantly influenced their level of rumination. It showed that the higher the social support received by parents, the lower the level of rumination. More importantly, the extent of intervention received by the children had a regulating effect on rumination of their parents.ConclusionThe personalized psychological support programs should be developed based on the actual situation of parents, to better manage the challenges presented by raising a child with autism. Our findings would provide important theoretical underpinnings and practical guidance for psychological intervention efforts aimed at families of autistic children. Moreover, these findings offer novel insights for future research, with the potential to advance the field of mental health studies concerning parents of children with autism.

Exploring the Innovative Model of Social Practice Education for College Students based on Course Ideological and Political Education

College students participate in social practice to cultivate their ideals and beliefs. This is not only an effective way to educate college students on socialist core values, but also a good supplement. On this basis, a teaching philosophy of "people-oriented" and "morality based" was proposed, through research on the "Three Represents" and "Five Represents". Based on the demand for talents in the new era and the actual situation of social practice teaching, this paper proposes an optimization approach for the social practice teaching mode of college students based on ideological and political theory courses in universities.

Winter Wheat Mapping in Shandong Province of China with Multi-Temporal Sentinel-2 Images

Wheat plays an important role in China’s and the world’s food supply, and it is closely related to economy, culture and life. The spatial distribution of wheat is of great significance to the rational planning of wheat cultivation areas and the improvement of wheat yield and quality. The current rapid development of remote sensing technology has greatly improved the efficiency of traditional agricultural surveys. The extraction of crop planting structure based on remote sensing images and technology is a popular topic in many researches. In response to the shortcomings of traditional methods, this research proposed a method based on the fusion of the pixel-based and object-oriented methods to map the spatial distribution of winter wheat. This method was experimented and achieved good results within Shandong Province. The resulting spatial distribution map of winter wheat has an overall accuracy of 92.2% with a kappa coefficient of 0.84. The comparison with the actual situation shows that the accuracy of the actual recognition of winter wheat is higher and better than the traditional pixel-based classification method. On this basis, the spatial pattern of winter wheat in Shandong was analyzed, and it was found that the topographic undulations had a great influence on the spatial distribution of wheat. This study vividly demonstrates the advantages and possibilities of combining pixel-based and object-oriented approaches through experiments, and also provides a reference for the next related research. Moreover, the winter wheat map of Shandong produced in this research is important for yield assessment, crop planting structure adjustment and the rational use of land resources.

Research on the Design Method of Rural Lodging Based on the Integration of Architecture and Environment

The concept of modern tourism intelligent application in China is to fully meet the information needs of tourists and customer experience, and the development of intelligent tourism relying on Internet of Things (IoT) is its most basic guarantee condition. With the rise of ethnic village tourism and the change of new consumer lifestyle, B&B shows an explosive development. Tourism consumers are also shifting from hotels to home stays in the process of tourism. Therefore, based on IOT application as the starting point, this paper firstly, gives a more detailed description of the development process and marketing status of home stays, and discusses its various problems. Then, based on the TP theory of ethnic villages, Porter's five forces analysis model and the SWOT analysis method of ethnic villages, the marketing environment of homestays is studied in depth to discover their advantages.The HTOE model develops a marketing mix strategy for B&Bs that meets the actual situation of ethnic village development

Are cities genuinely healthy? Diagnosis of urban development from the perspective of adaptive capacity

As urban diseases continue to emerge with the acceleration of urbanization, the transformation of urban governance concepts and systems must be urgently promoted. In dealing with the complex systemic problem of city governance, the concept of adaptation in complex adaptative system (CAS) theory has shown obvious advantages. This approach provides a new perspective for solving this problem in the face of the unprecedented complexity of current disasters. However, research on urban adaptation is currently hindered by imprecise terminology, significant bias, and insufficient empirical evidence. This study reinterprets the concept of urban adaptation in conjunction with CAS theory. The formula for the functional expression of urban adaptation is derived using dissipative structure theory. Indicators are then selected to describe the system of urban adaptive capacity. An adaptive decision support framework is established that covers 29 quantitative and 8 qualitative indicators. The adaptive performance of 12 sample cities is analyzed. Finally, this study provides corresponding planning paths for optimizing urban adaptation based on the evaluation results. The research findings can assist city managers in comprehending the actual situation of cities and provide a basis for formulating targeted governance programs.

Rock pressure evaluation in coal face based on multi-factor decision-making theory

The behavior of rock pressure is a natural and inevitable phenomenon during coal seam mining, resulting in numerous casualties and equipment damage annually. The ability to predict and assess the strength of rock pressure in the coal face beforehand has become crucial in preventing rock pressure accidents. This paper took the prediction of rock pressure strength in coal face as the research object, and based on the multi-factor decision-making theory, proposed a new method for the evaluation of rock pressure strength in coal face—"dual-dimension rock pressure strength evaluation method". Initially, the rock pressure strength index IA was obtained through the application of the law of sedimentary pressure control and microseismic monitoring data. The drilling data at the exploration scale served as references. Then, based on the rock pressure control mechanism, the rock pressure strength index IB was obtained by utilizing a type of Euclidean distance formula at the coal face scale. Finally, in order to mutually correct the two rock pressure strength indices, the rock pressure strength grade matrix was employed to acquire the rock pressure strength grade of the coal face. Applying this evaluation method to the coal face, the prediction outcomes aligned with the actual situation. Therefore, this method can provide a theoretical reference for the prediction of rock pressure strength and the prevention of rock pressure accidents in alternative areas.