Technical Level Research Articles

The spatio-temporal pattern and its influencing factors of production efficiency of health resources in China.

There is always a contradiction between the limited health resources and the unlimited demand of the population for health services, and only by improving the productivity of health resources can the health level of the population be improved as much as possible. Using prefecture-level administrative regions as spatial units, the paper analyzes the spatial pattern and changes of health productivity of health resources in China from 2000 to 2010, and uses a spatial panel Tobit model to examine the effects of factors such as technical level of health institutions, health service accessibility, public health policies and ecological environment quality on health productivity of health resources. The results show that with the Hu Huanyong line as the dividing line, the spatial heterogeneity of "high in the southeast and low in the northwest" in the health productivity of China's health resources is clear; as the regional differences narrow, the spatial correlation increases, and the spatial pattern of "overall dispersion and partial agglomeration" becomes more obvious. The fitting results of the spatial Durbin model reveal the direction and degree of influence of local and adjacent factors on the production efficiency of health resources. The positive influence of technical level of local health institutions and the accessibility of health services, the literacy level and the ability to pay for health services of residents in adjacent areas, the degree of urbanization of regional health resource allocation, climate suitability and the quality of the atmospheric environment are significant. And the negative influence of local residents' literacy and ability to pay for health services, the technical level of health institutions in adjacent areas and the degree of medicalization of health resource allocation are also significant. The influence of the degree of medicalization of local health resource allocation and the accessibility of health services in adjacent areas are significantly spatial-heterogeneous.

Application Analysis of New Civil Engineering Materials

In recent years, with the continuous development of the technical level in the field of construction, new civil engineering materials have a wide range of applications in various fields, the limitations of traditional building materials lead to the need for more sustainable and cost-effective alternative materials to meet the construction needs of civil engineering. This paper analyzes the new civil engineering materials, discusses the characteristics of high-performance concrete, new steel and composite materials, and analyzes the application strategies of new civil engineering materials in practical application fields, aiming to provide constructive suggestions for improving the construction quality of civil engineering and the application efficiency of new materials.

An Empirical Study on Offensive and Defensive Ability of College Men's Football Teams based on TOPSIS-RSR Comprehensive Evaluation Method

This study uses the TOPSIS-RSR comprehensive evaluation method to provide 8-week training guidance to 32 college football players, and uses expert interviews, questionnaires and other methods to evaluate the rationality of the 8 offensive and defensive indicators counted by the athletes. It aims to Provide a richer theoretical reference basis for future college football team training. The results show that the TOPSIS-RSR method can only evaluate the results of each team from an objective and quantitative perspective. There may be certain errors in the evaluation process from the final game results, and it requires multiple levels of consideration between teams and players. There are many internal and external uncertain factors such as time, individuals, coaches, etc. Applying the TOPSIS-RSR comprehensive evaluation method to football training technology will help college students with certain football skills to improve their technical level. It is concluded that for athletes whose age, sports level, training years, etc. are variable factors at different stages, the reasonable arrangement of training cycles must be fully considered.

Mobile Smart App and its Application in Improving the Efficiency of English Homework Correction

The heavy amount of English homework correction has resulted in Teachers’ lax examination of homework, insufficient attention to homework problems, and low attention to homework correction. With the continuous growth of the number of educated people, more and more schools begin to have the problem of low efficiency of English homework correction. Therefore, in order to optimize the homework correction system, improve the efficiency of English teachers’ homework correction, and give full play to teachers’ positive feedback on homework, a smart app on mobile phone can be developed to scan and correct traditional paper homework. Based on image processing technology and neural network algorithm, this paper designs and establishes a mobile app that can recognize and extract English homework topics and handwriting with nearly 90\% accuracy through Android system platform. Based on the homework answers entered in the database, the rapid correction of English homework can be realized. After using this software, the overall efficiency of English homework grading has significantly improved. For multiple-choice and fill in the blank questions, the total factor productivity of 14 and 15 units was greater than 1, accounting for 63.6\% and 68.1\% of the nursing units participating in the study, respectively. This indicates that the efficiency of English homework grading in most units is constantly improving and showing a good development trend. Among them, the homework correction efficiency for multiple-choice questions is only 6 units, and the pure technical efficiency is less than 1, indicating that the improvement of technical means has a significant impact on efficiency. In order to verify the applicability of the software, data envelopment analysis is used to analyze the application of the mobile app to improve the efficiency of English homework correction. the results show that when the smart phone software is not put into use, the efficiency of teachers’ English homework correction is poor, and the technical level in the process of correction is too low. After the mobile intelligent software is put into use, the overall efficiency of English homework correction has increased significantly, which can greatly alleviate the pressure faced by English teachers in the process of correcting homework.

Ethical Leadership of Basketball Coaches and Moral Development of Athletes: A Feasible Program for the Development of Sports Ethics

This study uses the TOPSIS-RSR comprehensive evaluation method to provide 8-week training guidance to 32 college football players, and uses expert interviews, questionnaires and other methods to evaluate the rationality of the 8 offensive and defensive indicators counted by the athletes. It aims to Provide a richer theoretical reference basis for future college football team training. The results show that the TOPSIS-RSR method can only evaluate the results of each team from an objective and quantitative perspective. There may be certain errors in the evaluation process from the final game results, and it requires multiple levels of consideration between teams and players. There are many internal and external uncertain factors such as time, individuals, coaches, etc. Applying the TOPSIS-RSR comprehensive evaluation method to football training technology will help college students with certain football skills to improve their technical level. It is concluded that for athletes whose age, sports level, training years, etc. are variable factors at different stages, the reasonable arrangement of training cycles must be fully considered.

The impact of augmented reality glasses on human visual efficiency and digital eye fatigue

Objective: To investigate the differences in reading efficiency and visual fatigue between the use of augmented reality (AR) glasses and laptops. Methods: A prospective self-controlled study was conducted. Healthy students from Capital Medical University who frequently engaged in long-term near work and used laptops and other digital display devices were recruited as subjects at Beijing Tongren Hospital, Capital Medical University between November 1 and November 15, 2023. LogMAR visual acuity, visual functions (accommodation, convergence, and fusion), and visual fatigue scores (Likert visual fatigue scale) of the participants were assessed. The order of using the laptop and AR glasses for each participant was determined by a coin toss. Reading efficiency (reading speed and error rate multiplied by the detection rate of incorrect numbers) with different devices for 10 minutes at the same time on different dates and visual fatigue scores after watching a 20-minute video were measured. Statistical analyses were performed using paired t-tests and Wilcoxon signed-rank tests. Results: A total of 20 eligible subjects were included, comprising 7 males and 13 females, with a mean age of (25.45±2.27) years. There was no significant change in binocular visual acuity before and after using AR glasses and laptops (both P>0.05). The reading speed and reading efficiency of using AR glasses [(34.03±9.25) and (29.19±7.62) digits/min, respectively] were significantly lower than those of using laptops [(39.43±10.36) and (35.67±9.87) digits/min, respectively] (t=4.36, P<0.001), while the difference in error detection rate was not statistically significant (t=1.29, P=0.213). There was no statistically significant difference in visual fatigue scores before watching videos with the two devices (Z=-0.71, P=0.480). However, the visual fatigue score after watching videos with AR glasses [(20.55±5.04) points] was significantly higher than that with laptops [16.50 (13.00, 19.75) points] (Z=-2.85, P=0.004). The visual fatigue scores after watching videos with both devices were significantly higher than before (P<0.05), with a more significant increase observed with AR glasses [(6.05±3.50) points] (Z=-3.41, P<0.001). Conclusion: Compared with using laptops, the reading speed and efficiency were lower, and the visual fatigue was more pronounced with the use of AR glasses at the current technical level. Further optimization and improvement of AR glasses are warranted.

Study of data science in the managerial decision-making of enterprises

Big data has played an increasingly important role in global manufacturing, circulation, distribution, and consumption activities. The management mode based on data is remolding the management mode of enterprises. In the management control of enterprises, data science has become an important supporting tool for decision-making. It could help managers of enterprises to better understand and hold changes within and outside the environment of the enterprise so as to establish effective management strategies through data to excavate and discover correlations among mass data to predict management forms in the future. Firstly, this paper analyzes the difference between machine learning and deep learning from the technical level. Secondly, taking Zara for example to analyze how Zara takes advantage of data science to obtain competitive edge in the fashion industry. At last. This thesis has discussed advantages of data science in prediction and decision-making in the finance field through the method of literature review.

Research on Identification Standard and Judicial Determination of Destructive Procedure - Based on Technical Specifications and Legal Provisions

With the rapid development of Internet technology, the identification of destructive procedures has a dilemma that the legislative purpose is inconsistent with the practice at the judicial level. The traditional identification is generally based on technical specifications, but the legal positioning of the procedure is often ignored in computer network crimes. In order to establish the identification standard of destructive procedures as soon as possible and reduce the judicial problems caused by the identification of procedures, this paper, based on the computer network crime, through the combination of technical specifications and legal provisions, through in-depth analysis of the computer technical parameters and typical cases of crimes of destructive procedures, expounds the technical level to follow the destructive procedure inspection operation specification, at the legal level to subjective malice and serious harm two aspects of the judgment method. The results of the study revealed that the double identification of destructive procedures through technical specifications and legal provisions is not only more practical than ever, but also saves judicial resources and improves litigation efficiency.

How is Trading Behavior in Commodity Futures Affected by the 52-Week High and Low?

We use the Commodity Futures Trading Commission’s Commitment of Traders report to investigate the trading behavior of traders in 12 commodity futures markets. Commercial traders are contrarian, consistent with anchoring and the prevalence of short hedgers. Noncommercial traders follow momentum strategies, reflecting the presence of CTAs trading in attention grabbing futures. Our key contribution is in understanding the effect of trading at the 52-week high and low – technical levels that are known to influence investor behavior – where we find trading is moderated at the 52-week high (anchor reversion) and accentuated at the 52-week low. Our results are consistent regardless of whether the futures market is in backwardation or contango. We find little support for evidence of market timing ability for either trader type.

Small Power Nuclear Plants: Technical Level and Prospects for Commercialization (Review)

Small Power Nuclear Plants: Technical Level and Prospects for Commercialization (Review)

Facial fingerprint analysis using artificial intelligence techniques and its ability to respond quickly during karate (kumite)

The document discusses the use of facial fingerprint analysis using artificial intelligence (AI) techniques to quickly respond during karate matches. The integration of AI with sports technical analysis has the potential to improve the technical and tactical level of athletes. Traditional methods for tactical intelligence analysis in competitive sports have limitations such as high cost, data loss, delay, and low accuracy, but the use of convolutional neural networks and graph convolution models has shown promising results in the automatic, intelligent analysis of karate athletes' technical action recognition, action frequency statistics, and trajectory tracking. Eye-tracking technology is also used to analyse various aspects of performance and help identify visual strategies employed by athletes. By analysing video footage of facial biometrics during karate competition performances, performance criteria can be measured based on relevant skills in karate, and an objective scoring rubric can be developed for each criterion. Then, the scores can be compared between performers to see individual strengths and weaknesses and to optimize training, technique, and performance. Ultimately, the study seeks to investigate how to improve performance and decision-making in kumite by using AI techniques to analyse the eye print during an exhibition performance.

Tool Wear Prediction Based on LSTM and Deep Residual Network

To improve the accuracy and efficiency of tool wear predictions, this study proposes a tool wear prediction model called LSTM_ResNet which is based on the long short-term memory (LSTM) network and the Residual Network (ResNet). The model utilizes LSTM layers for processing, where the first block and loop blocks serve as the core modules of the deep residual network. The model employs a series of methods including convolution, batch normalization (BN), and Rectified Linear Unit (ReLU) to enhance the model’s expression and prediction capabilities. The performance of the LSTM_ResNet model was evaluated using experimental data from the PHM2010 datasets and two different depths (64 and 128 layers), training both LSTM_ResNet models for 200 epochs. The 64-layer model’s root mean square error (RMSE) values are 3.36, 4.35, and 3.59, and the mean absolute error (MAE) values are 2.42, 2.85, and 2.21; using 128 layers, the RMSE values are 3.66, 3.99, and 3.77, and the MAE values are 2.49, 2.73, and 3.01. The results indicate that the 64-layer LSTM has smaller average errors, suggesting that compared to other common network structures, the LSTM_ResNet network has a higher performance. This research provides an effective solution for tool wear prediction and helps to improve the technical level of tool wear prediction in China.

State and the Prospects for Updating the Tractor Fleet in Agriculture of the Krasnoyarsk Territory

The technical condition of the tractor fleet and the level of equipment for crop production in agriculture in the Krasnoyarsk Territory for 2018-2022 have been assessed taking into account the distribution of the area and the structure of arable land across the main categories of commodity producers and zonal territories. The authors substantiated the promising paths and the renewal indicators under the sanctions ensuring by 2030 a radical modernization and improvement of the technical level of the fleet to the established standards.

Measurement and Spatial Difference Analysis of the Development Level of Urban Solid Waste Resource Utilization from the Perspective of "Waste-Free City"

While the domestic economy is developing rapidly, the impact of municipal solid waste on the ecological environment is increasing. The construction of "waste-free cities" has become an inevitable choice and an important tool to promote the sustainable development of cities and the sustainable management of solid waste. This paper evaluates the level of solid waste resource utilization in 27 central cities in the Yangtze River Delta region from four dimensions: technical level, economic benefit, social benefit and environmental protection benefit. Firstly, the gray correlation is used to calculate the gray correlation between the selected indicators and the green low-carbon city index, and the results show that the gray correlation of all the indicators is greater than 0.80, which has strong explanatory ability. Then, the entropy weighting method was used to calculate the weights of the indicators and the comprehensive score of the cities, and the top five cities in the comprehensive score were Shanghai, Suzhou, Hangzhou, Ningbo and Nanjing. Then, by comparing the average scores of Shanghai, Jiangsu Province, Zhejiang Province and Anhui Province, the difference analysis is carried out, and it is found that the regional economic level and industrial structure are the main factors affecting the development level of municipal solid waste resourceization. Finally, the results of the empirical analysis are combined to make suggestions for the construction of "waste-free cities" in China.

Outcomes of Soft Versus Bony Canal Wall Reconstruction with Mastoid Obliteration.

To compare recidivism rates, audiometric outcomes, and postoperative complication rates between soft-wall canal wall reconstruction (S-CWR) versus bony-wall CWR (B-CWR) with mastoid obliteration (MO) in patients with cholesteatoma. Retrospective chart review. Tertiary neurotologic referral center. Ninety patients aged ≥18 years old who underwent CWR with MO, either S-CWR or B-CWR, for cholesteatoma with one surgeon from January 2011 to January 2022. Patients were followed postoperatively for at least 12 months with or without second-look ossiculoplasty. Tympanomastoidectomy with CWR (soft vs. bony material) and mastoid obliteration. Recidivism rates; conversion rate to CWD; pre- versus postoperative pure tone averages, speech reception thresholds, word recognition scores, and air-bone gaps; postoperative complication rates. Middle ear and mastoid cholesteatoma recidivism rates were not significantly different between B-CWR (17.3%) and S-CWR (18.4%, p = 0.71). There was no significant difference in pre- versus postoperative change in ABG (B-CWR, -2.1 dB; S-CWR, +1.6 dB; p = 0.91) nor in the proportion of postoperative ABGs <20 dB (B-CWR, 41.3%; S-CWR, 30.7%; p = 0.42) between B-CWR and S-CWR. Further, there were no significant differences in complication rates between B-CWR and S-CWR other than increased minor TM perforations/retractions in B-CWR (63% vs. 40%, p = 0.03). Analysis of recidivism rates, audiometric outcomes and postoperative complications between B-CWR with MO versus S-CWR with MO revealed no significant difference. Both approaches are as effective in eradicating cholesteatoma while preserving relatively normal EAC anatomy and hearing. Surgeon preference and technical skill level may guide the surgeon's choice in approach.

New energy vehicles' technology innovation coordination strategy based on alliance negotiation under dual credit policy.

The development of new energy vehicles (NEVs) is one of the effective ways to alleviate carbon emissions, environmental pollution, and energy scarcity in the transportation sector. The Chinese government has innovatively proposed the "dual credit policy," but it is still a hot topic whether it can promote the NEVs' technological innovation. In this study, we construct game models and obtain the technological innovation strategies for NEVs under the dual credit policy, considering that the NEV supply chain contains one manufacturer and N suppliers. Further, we construct bargaining game models and study how to encourage manufacturers and suppliers to enhance technological innovation, realize supply chain coordination, and give the alliance strategy to maximize suppliers' profit. We found that the dual credit policy can effectively stimulate technological innovation, and the higher the credit price or technological innovation credit factor, the higher the technical level of NEVs. The findings could guide the government to adjust and revise the policy. Second, we found that the bargaining games could coordinate the NEV supply chain so that decentralized enterprises can achieve optimal technological innovation under centralized decision-making. Third, we found that suppliers can improve their profits by choosing a suitable alliance strategy under the manufacturer's different negotiating power.

Experimental Environment in Radiology: Sustainable Research

Research requires large sums of money that are indirectly provided by taxpayers. It is therefore important that research is sustainable and does not just serve the career development of individuals. The aim of this article is to discuss what sustainable research in radiology is, how it can be organised and, above all, to show that it is possible.There are various approaches to achieving sustainability, ranging from purely gaining knowledge to translated devices and contrast agents, and to new clinical applications. The first step is to clarify exactly what is intended to be achieved with the research and critically weigh up the novelty value and the expected impact. This should be followed by careful, long-term planning of the project over a period of 5-15 years with the definition of clear sub-steps. Securing funding is just as important here as regular communication of the results. It often makes sense to involve the regulatory authorities and commercialisation partners in the project at an early stage.Academic radiology should not limit itself to serving as a test platform for imaging devices and contrast agents from industry, but should try to realise its own ideas and developments. Many academic centres around the world have shown that this is possible. Examples from my own research, particularly in relation to the development and translation of super-resolution ultrasound imaging and the development of diagnostics and nanopharmaceuticals, are explained in this article and challenges at various stages of development are discussed. Young radiologists are encouraged to set bigger and more long-term goals in order to influence and develop our field in a sustainable way. · Sustainable research requires creativity and careful planning. · Sustainable research can start at several stages of the technical readiness level. · Long-term planning of the overall concept (5-15 years) with clear intermediate steps is essential. · Cooperation with industry is often useful. · Acquisition of third-party funding must be ensured at the same time.

Application of building BIM technology based on sensor systems and 5G cloud computing

At present, the technology of artificial intelligence has been developing, making people's life more convenient and production more efficient. As the artificial intelligence software Siri is accepted and used by more and more people, some voice assistant software with similar functions gradually appear in people's vision, such as Sogou voice assistant, Xiaoai, Xiaodu and so on. ASR is the entrance of Siri and other software systems. The quality of software is directly affected by ASR. If there is no good ASR, it is impossible to have high-quality voice assistant applications. Therefore, we must correctly understand the important value of ASR and deeply study this technology in order to achieve better human-computer interaction. In recent years, the development of communication network technology is changing rapidly, from 2G to 5G, technology has been in progress. Compared with the previous 4G, 5G has a higher technical level, whether in network equipment or in data computing technology. For 5 g network, cloud computing technology is very important and has a great impact on it, so we need to focus on the research to realize the optimization and innovation development of 5G network. The construction sector constitutes a crucial segment of China's economy, exerting a significant influence on its overall growth trajectory. Given the prevailing developmental context, this document provides a concise overview of the BIM (Building Information Modeling) Technology, encompassing its fundamental concept, distinguishing attributes, and core principles. Furthermore, it delves into the manifold junctures where BIM Technology finds application across the entire construction life cycle. By employing an actual project as an illustrative instance, this study compiles a synopsis of BIM Technology's utilization at each phase, conducting a comprehensive evaluation of the project through the lens of the accrued experience and outcomes. This assessment lays the groundwork for an extensive exploration of potential expansion and application avenues, culminating in the eventual advancement of BIM Technology's achievements.

Efficiency Characteristics and Evolution Patterns of Urban Carbon Metabolism of Production-Living-Ecological Space in Beijing-Tianjin-Hebei Region

This study explored the carbon metabolism efficiency of a production-living-ecological space system, which is of great significance for regional factor integration and spatial optimization. In this study, the material flow analysis method was introduced to establish a framework for evaluating the carbon metabolism efficiency of the production-living-ecological space system, and the super-efficiency DEA model and Malmquist index were used to empirically analyze the spatio-temporal distribution, dynamic change, and evolution patterns of the carbon metabolism efficiency of production-living-ecological space in the Beijing-Tianjin-Hebei Region, China, from 2000 to 2020 on the basis of the urban metabolic perspective. The results showed that:① the carbon metabolism efficiency of the production-living-ecological space showed a fluctuating growth trend, indicating the significant spatial differentiation of carbon metabolism efficiency in each city. There was a low overall carbon metabolism efficiency level, with a distribution pattern of being high in the middle and low in the north and south. ② The Malmquist index showed that the Total Factor Productivity (TFP) of carbon metabolism efficiency was greater than 1, and both the Technical Change (TC) and Pure Efficiency Change (PEC) were less than 1, in which the TFP showed an increasing trend, whereas there was no significant contribution of technological progress or pure technical efficiency to carbon metabolism efficiency. The total factor productivity of more than 50% of the cities showed an improving trend, only 38.46% of which made technological progress in improving carbon metabolism efficiency, and more than half of the urban pure technical efficiency showed a decreasing trend, in which the technical efficiency change and scale efficiency change were greater than 1 in most cities. ③ There were different types of carbon efficiency characteristics in each city, and according to the movement rules of the corresponding points in the quartile map, the evolution patterns of tourism industry efficiency were classified into stable, reciprocating, progressive, and abrupt. Therefore, local governments should adopt differentiated strategies to reasonably allocate spatial resources of production-living-ecological space and improve the technical level and scale efficiency, so as to improve the efficiency of urban carbon metabolism.

Measuring the Queen Bee Phenomenon in technically efficient firms: implications from Southeast Asian manufacturers

This study examines the “Queen Bee Phenomenon,” that is, Southeast Asian manufacturers having female CEOs and owners. In addition, the buffering effect of female CEOs and owners on manufacturers seeking higher technical efficiencies is also examined in this research. This study uses the fractional regression and two-limit Tobit regression models to examine a combined set of cross-sectional data from surveys conducted by the World Bank, consisting of 3471 manufacturers in Southeast Asia, including those in Thailand, the Philippines, Indonesia, Malaysia, and Vietnam. Our results find that the “Queen Bee Phenomenon” does not exist in Southeast Asian manufacturing enterprises. Furthermore, manufacturers with higher technical efficiency levels are likely to hire fewer female workers; nevertheless, if female CEOs and owners run these technically efficient firms, hiring more female workers can be noticed. This research demonstrates that globalization through FDI and exports may promote female labor force participation among Southeast Asian enterprises and those seeking greater technical efficiencies.