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[Objective] Carbon emissions from industrial production are the most important source of carbon emissions from production activities in China. The purpose of this study was to measure the carbon emission quantity and intensity of industrial production energy consumption, explore their regional differences and influencing factors, and provide corresponding policy recommendations for carbon emission reduction to help achieve carbon peak and carbon neutrality. [Methods] The regional differences, dynamic changes, and influencing factors of national and regional carbon emissions from 2005 to 2019 were analyzed using carbon emission classification, Dagum Gini coefficient, kernel density estimation, and spatial econometric models. [Results] (1) The quantity of carbon emissions from industrial energy consumption showed an increasing trend from 2005 to 2019. Carbon emission quantity was eastern region>central region>western region, then changed to eastern region>western region>central region. Carbon emission intensity showed a downward trend. The order of carbon emission intensity from high to low was always the western region, the central region, and the eastern region. (2) The overall differences of carbon emission quantity and intensity across the country were large and showed an upward trend, among which, the overall Gini coefficient of carbon emission quantity increased from 0.3793 in 2005 to 0.3861 in 2019, and the overall Gini coefficient of carbon emission intensity increased from 0.3160 in 2005 to 0.3990 in 2019. The eastern region had the largest intra-regional difference in carbon emission quantity, and the average Gini coefficient was 0.4119. The western region had the largest intra-regional difference in carbon emission intensity, and the average Gini coefficient was 0.3175. (3) Carbon emission quantity of industrial production energy consumption was mainly affected by industrial structure and foreign direct investment, and carbon emission intensity was mainly affected by foreign direct investment and scientific and technological innovation. In addition, high urbanization rate significantly increased carbon emissions in the eastern region, while significantly reduced carbon emissions in the western region, showing regional differences. [Conclusion] There were significant regional differences in carbon emissions from industrial production energy consumption, and there were obvious differences in the dynamic change characteristics of regional carbon emissions. The use of spatial econometric model can better identify the influencing factors and spatial effects of carbon emissions in the country and the three regions, which is of great significance for taking corresponding measures to reduce carbon emissions according to local conditions.

Constructing a reasonable evaluation system can help to scientifically evaluate the vulnerability of the atmospheric environment, and policy recommendations would be provided for the precise prevention and control of air pollution as well as rational use of natural resources on the basis of evaluation results. Time series global principal component analysis was used to extract principal components from the short panel data of 14 cities in Liaoning Province from 2014 to 2019, and a comprehensive assessment of vulnerability was carried out consequently. The results show that: according to the results of principal component analysis, the cities of Liaoning Province were systematically clustered into five categories. From 2014 to 2019, the atmospheric environmental vulnerability of Liaoning Province decreased volatility, and the area of severely vulnerable areas reached 78.03% in 2017. The vulnerability of the atmospheric environment in Liaoning Province in 2014, 2015, 2016 and 2018 has significant spatial autocorrelation. From 2014 to 2019, the influence of various factors on the spatial differentiation of vulnerability has changed significantly. Time series global principal component analysis can evaluate and analyze panel data of atmospheric environmental vulnerability. Targeted policy measures should be adopted to effectively control the vulnerability of the atmospheric environment in Liaoning Province. [ABSTRACT FROM AUTHOR]

Objective: To understand the cognition for insomnia and preference for acupuncture in breast cancer survivors based on the in-depth interview., Methods: Thirty breast cancer survivors with insomnia symptoms were collected for in-depth interview. The interview questions included three aspects, i.e. sleep expectation, cognition for insomnia (discomfort caused by insomnia, and underlying inducing factors of insomnia) and the preference for acupuncture (treatment methods used in the past, the reasons for not choosing acupuncture, and the tendency of acupuncture treatment). Using Colaizzi content analysis method, the data was analyzed., Results: Regarding sleep expectation, most breast cancer survivors with insomnia symptoms were able to maintain normal activity in daytime. Insomnia symptoms often led to fatigue, and the inducing factors of insomnia referred to the treatment with endocrine therapy, anticipatory anxiety and inadequate sleep hygiene. All of the patients had received pharmacotherapy. The use proportion of non-pharmacological therapies was relatively low, and acupuncture was not chosen due to "not familiar with" and "fear of pain". Concerning to the preference for acupuncture, patients preferred the therapeutic methods of acupuncture with mild pain sensation and gentle stimulation; and the treatment should be more acceptable if delivered 2 or 3 times a week., Conclusion: Breast cancer survivors have the expectations for sleep, and are willing to receive the treatment with medication for their sleep disorders. Because of lack of the knowledge for acupuncture effect on insomnia and fear of strong needling sensation, a part of patients are unwilling to be treated with acupuncture therapy, but they are expected to receive the treatment with acupuncture while feeling more comfortable.

The impact factors were explored to determine the horizontal positional relationship between the umbilicus and the 2nd lumbar spinal process in adults and to verify the accuracy of the localization of Shenshu (BL 23) via the umbilicus. The position of the umbilicus and the 2nd lumbar spinal process was measured in 100 participants and the data were analyzed through SPSS 20.0 software. It was found that the umbilicus and the 2nd lumbar process were not positioned horizontally. The positional relationship of these two sites was not apparently correlated with gender, age, body weight, body height, BMI, waistline and discomfort of lumbar region. The umbilicus was commonly and posteriorly projected on the site between the 4th and 5th lumbar vertebra. It is explained that the localization of Shenshu (BL23) via the umbilicus is not accurate.

High-intensity focused ultrasound (HIFU) has been used to precisely ablate a targeted area within the body without harming the overlying tissues. In recent years, HIFU, as a noninvasive, effective and feasible modality, has been used for cancer therapy. The development of HIFU transducer is the key technology of HIFU. This paper shows the acoustic lens transducer, spherical auto-focused transducer, pluralistic auto-focused transducer and the electronic phased array transducer in HIFU treatment, and the performance of each of the four HIFU transducers was evaluated.