Equipment manufacturing industry (EMI) is one of the strategic industries of national economy. Its full development is a precondition for the fulfillment of industrialization, an important index to evaluate the comprehensive competitiveness of a nation, and a key factor to determine a state's status in the international division of labor. To countries, EMI is one of the leading industries, which provides technical means to other industries and the technology level directly affect the competitiveness. Dalian is one of the important members of China, which is one of the main old industrial bases and equipment manufacturing bases of the whole country. It is the revitalization of Dalian equipment manufacturing that the key to successful transforming of Dalian old industrial base and also the key to realize Dalian leading role in the economic takeoff of China. Thus a study on how to enhance competitiveness of the equipment manufacturing industry is meaningful to Dalian industrialization both in theory and in practice. Firstly, EMI competitiveness evaluation index system is constructed and evaluation method is chosen. According to the situation and trend of EMI, the Principle Components Analysis method and Factor Analysis are used to fulfill the EMI competitiveness analysis. Secondly, using Dalian data from publication, the competiton index of EMI competitiveness is analyzed. EMI structure, the EMI advantages and disadvantages are analysed. In the following parts, the paper focuses on measures as how to improve the industrial competitiveness of Dalian's EMI, including implementation of the scale economies strategy, improvement on business performance and building a strong depth extension EMI supply base.
The radiation characteristics of microalgae are of great significance for the design of photobioreactors and ocean optical remote sensing. Yet the complex structure of microalgae makes it difficult to theoretically predict its radiation characteristics based on traditional Mie theory. In this work, taking Chlamydomonas reinhardtii as an example, a multi-component cell model with a complex structure is proposed, which considers the organelles and shape of microalgae, and the volume change during the production of Chlamydomonas reinhardtii lipids. The theoretical calculation is carried out using the discrete dipole approximation method, and an improved transmission method is used for experimental measurement. The experimental data are compared and analyzed with the multi-component complex structure model, the homogeneous sphere model and the coated sphere model. The results show that the calculation accuracy of the multi-component complex structure model is higher, the error of the scattering cross-section is reduced by more than 8.6% compared with the homogeneous sphere model and coated sphere model, and the absorption cross-section and the scattering phase function are in good agreement with the experimental results. With the increase of lipids, the absorption cross-section and the scattering phase function vary slightly. However, the scattering cross-section has an observed change with increasing wavelength. In addition, the theoretical calculation error can be reduced when the influence of the culture medium is taken into account.
Objective To evaluate the effect of handwashing intervention measures to reducing the rate of intestinal and acute respiratory disease among kindergarten children,and to provide basis for exploring handwashing health education method targeted school children. Methods By using randomized control trial,4 kindergartens with similar condition were randomly selected from urban and rural area in Tianjin respectively and were randomized to 2 controls and 2 handwashing intervention groups respectively. Two senior classes were randomly selected from each kindergarten,totally 532 children(272 for intervention group and 260 for control). Handwashing health education was carried out in intervention groups. Nine kinds of intestinal and acute respiratory illness symptoms and students absenteeism for that were noted during intervention. Results Illness absence rates were 1.92% and 0.53% among control group and handwashing intervention group after intervention(χ2=132.06,P0.05,RR=0.274). Rural children's illness absence rate was higher than urban children(χ2=326.72,P0.05). The illness(influenza-like illness(ILI),diarrhea,rash) reduction rates of intervention group compared with control group in urban were 90%,117.24%,171.67% and 96.86%,and the reduction rates in rural were 279.71%,36.73%,104.13% and 80.64%. Conclusion Handwashing intervention can reduce absence rate caused by intestinal and acute respiratory disease among kindergarten children. The health education of kindergarten children in rural area should be strengthened.
The aim of this study was to examine the psychometric properties of the Psychosocial Risk Assessment in Pediatrics (PRAP). PRAP is a screening tool designed to assess pediatric patients who are at risk of experiencing elevated distress during health-care encounters. A cross-sectional observational study was conducted with 200 pediatric patients. Patient’s distress levels were observed during their health-care encounter using the Children’s Emotional Manifestation Scale (CEMS). Health-care staff and parents were asked to rate the patient’s level of cooperation and stress. Exploratory factor analysis supported a single latent factor structure of the PRAP tool. Cronbach’s α for internal reliability was .83. PRAP score was strongly correlated with CEMS score with r = .82 ( p < .0001). The PRAP is a standardized, reliable, and valid method for health-care providers to assess a patient’s risk of experiencing significant distress during treatment or testing.
OPINION article Front. Public Health, 11 April 2023Sec. Public Health Education and Promotion Volume 11 - 2023 | https://doi.org/10.3389/fpubh.2023.1160756
Urban green parks perform a remarkable role for the physical, social and psychological wellbeing of the urban public by providing space for relaxation and recreation, directly influencing public health through mitigation of the urban heat impact, noise reduction and moderation of air and water pollution. An indicator-based approach on analytical hierarchical processing was used to identify and assess the driving forces for the utilization of urban green parks and their accessibility. Eight indicators: location, topography and geography, facility and services, safety and security, social and culture, ecology, demography, and weather and climate (further divided into 50 factors) were used in the study. Data were collected through a questionnaire survey in which 887 regular park users participated. A standardized study design was implemented to study and assess four urban green parks in the Colombo metropolitan district, Sri Lanka. The study identified park facilities and services as well as safety and security measures maintained by the park as the key factors of appeal, while location, ecology, topography and geography, including weather and climate, had a lower relative influence when selecting a park for recreation. Social, cultural and demographic factors appeared to be of the least interest. The study recommends park managers to assess their parks using this model to enhance the characteristics found to be the most important. It further suggests developing models also for other park types by considering which factors would have the highest relative influence in providing a better service for the regular park user.
Traditional tomography methods are based on a single statistical feature(such as delay difference, variance, etc.) of network as a measure of the shared path length, but the single statistics don't reflect the time-varying of network performance parameters. In this paper, the packet group detection model is used to obtain the end-to-end delay curve in the non-stationary network for the first time. Then wavelet packet decomposition is used to extract non-stationary features of end-to-end delay variation.
Understanding residents’ health seeking behavior is crucial for the planning and utilization of healthcare resources. With the support of emerging location-based service (LBS) data, this study proposes a framework for inferring health seeking trips, measuring observed spatial accessibility to healthcare, and interpreting the determinants of health seeking behavior. Taking Shenzhen, China as a case study, a supply–demand ratio calculation method based on observed data is developed to explore basic patterns of health seeking, while health seeking behavior is described using a spatial analysis framework based on the Huff model. A total of 95,379 health seeking trips were identified, and their analysis revealed obvious differences between observed and potential spatial accessibility. In addition to the traditional distance decay effect and number of doctors, the results showed health seeking behavior to be determined by hospital characteristics such as hospital scale, service quality, and popularity. Furthermore, this study also identified differences in health seeking behavior between subgroups with different ages, incomes, and education levels. The findings highlight the need to incorporate actual health seeking behavior when measuring the spatial accessibility of healthcare and planning healthcare resources. The framework and methods proposed in this study can be applied to other contexts and other types of public facilities.
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