Objective:To explore the feasibility and influencing factors of E-cervix cervical elasticity analysis technology in analyzing normal cervical function during non pregnancy.Methods:213 women who underwent vaginal ultrasound examination in the Ultrasound Department of Foshan Maternal and Child Health Hospital from May 2019 to November 2019 were selected as the research objects. Taking the median sagittal section of the cervix as the initial section, the E-cervix technology software package was started to automatically obtain the elastic contrast index (ECI), hardness ratio (HR), cervical strain rate (IOS), cervical strain rate (EOS), cervical strain ratio (IOS/EOS) and cervical length (CL). The relationship among age, menstrual cycle, BMI index, birth history, delivery mode and elastic parameters were compared.Results:There was no correlation between the elastic parameters and age, and there was no significant difference among different age groups ( P>0.05); there was no significant difference in the elastic parameters of cervical tissue in menstrual period, proliferative period and secretory period ( P>0.05); there was no significant difference in the elastic parameters of underweight, normal and overweight ( P>0.05); CL was positively correlated with body mass index (BMI) ( r=0.225, P<0.05), there was no correlation between other parameters and BMI ( P>0.05); there was no significant difference between the elastic parameters of patients with and without birth history ( P>0.05); the CL of women with cesarean section [(34.22±4.96)mm] was higher than that of women with natural birth [(29.03±4.14)mm] ( P<0.05), and the other parameters had no statistical significance ( P>0.05). Conclusions:The elastic parameters of cervix obtained by E-cervix technique are not affected by age, BMI, menstrual period, reproductive history and delivery mode, and can be used for quantitative evaluation of cervical function.

Objective:To investigate the medical students' general understanding of online teaching and online learning of medical courses during the COVID-19 epidemic, and to analyze the satisfaction with online medical curriculum and its influencing factors.Methods:A total of 188 medical students in Xiangya School of Medicineof Central South University were investigated anonymously with a self-designed questionnaire. SPSS 26.0 was used for analyzing the relevant data, t test or variance analysis was conducted fro coparison between groups. The data was described with rate and there was a significant difference when P<0.05.Results:The 88.83% of the students believed that online teaching was much necessary, and the greatest advantage of online teaching was that they could arrange their learning time freely. However, 59.57% of the students thought that the learning consciousness was reduced, and inadaptability to the change of teaching platform (49.47%) and teaching mode of teachers (59.57%) may be the main reasons affecting the teaching quality.Conclusion:Students have a high degree of acceptance of online teaching during the epidemic, but there are some problems such as decreased self-discipline, insufficient interaction between teachers and students, dissatisfaction with the construction of online course platform, inability to visit the laboratory and practice in the hospital, and so on. The investigation is still helpful to revise the medical education model in the post-epidemic period and the future. Our results suggest that the combination of online and offline teaching mode can be adopted in medical theory class and PBL discussion class, and at the same time, the construction of online learning resources for clinical practice and medical experiments should be strengthened.

Objective:To investigate the medical students' general understanding of online teaching and online learning of medical courses during the COVID-19 epidemic, and to analyze the satisfaction with online medical curriculum and its influencing factors.Methods:A total of 188 medical students in Xiangya School of Medicine of Central South University were investigated anonymously with a self-designed questionnaire. SPSS 26.0 was used for analyzing the relevant data, t test or variance analysis was conducted for coparison between groups, with test level α= 0.05. Results:The 88.83% (167) of the students believed that online teaching was much necessary, and the greatest advantage of online teaching was that they could arrange their learning time freely. However, 59.57%(112) of the students thought that the learning consciousness was reduced, and 49.47% (93) of the teachers were inadaptable to the change of teaching platform and 59.57% (112) teachers could not adapt to the change of teaching may be the main reasons affecting the teaching quality.Conclusion:Students have a high degree of acceptance of online teaching during the epidemic, but there are some problems such as decreased self-discipline, insufficient interaction between teachers and students, dissatisfaction with the construction of online course platform, inability to visit the laboratory and practice in the hospital, and so on. The investigation is still helpful to revise the medical education model in the post-epidemic period and the future. Our results suggest that the combination of online and offline teaching mode can be adopted in medical theory class and PBL discussion class, and at the same time, the construction of online learning resources for clinical practice and medical experiments should be strengthened.

As China's manned space missions gradually develop towards long-term residence and deep space exploration,astronauts will face increasingly severe psychological challenges.As a psychological adjustment method involving multiple disciplines such as music,psychology,and medicine,music therapy has the advantages of being convenient to implement,cost-effective,and highly personalized.This paper integrates the concept of music therapy and explores the research progress of music therapy in regulating psychological states in aspects such as physiology,emotional regulation,cognitive ability,and interpersonal relationships.Combined with the mechanism of action of music therapy and the practical situation in the field of manned spaceflight,it aims at the future development trends and problems to be solved,to construct a music therapy system for astronauts during on-orbit flight and ground daily training.This will help astronauts achieve healthy physical and mental development and promote the completion of missions.

BACKGROUND: Repairing soft tissue defects caused by inflammation, tumors, and trauma remains a major challenge for surgeons. Adipose tissue engineering (ATE) provides a promising way to solve this problem. METHODS: This review summarizes the current ATE strategies for soft tissue reconstruction, and introduces potential construction methods for ATE. RESULTS: Scaffold-based and scaffold-free strategies are the two main approaches in ATE. Although several of these methods have been effective clinically, both scaffold-based and scaffold-free strategies have limitations. The third strategy is a synergistic tissue engineering strategy and combines the advantages of scaffold-based and scaffold-free strategies. CONCLUSION Personalized construction, stable survival of reconstructed tissues and functional recovery of organs are future goals of building tissue-engineered fat for ATE.

Objective To study the efficiency and accuracy of artificial intelligence (AI) system based on fundus photograph in diabetic retinopathy(DR)screening,and evaluate the clinical application value of AI system. Methods A diagnostic trial was adopted. Total of 13683 color fundus photos were collected in Zhaoqing Gaoyao People's Hospital from March,2017 to November,2018. The AI system for DR (ZOC-DR-V1) was established,based on transfer learning + NASNet algorithm,by training 4465 precisely labeled fundus images (2510 normal,and 1955 with any stage of DR). One thousand confirmed fundus images (300 normal and 700 with any stage of DR),diagnosed by AI ( AI group ) and doctors ( 3 ophthalmologist doctors and 3 endocrinologist doctors ) ( doctor group ) , respectively. Ophthalmologist group and endocrinologist group were both composed of primary,intermediate and senior physicians. The mean reading time of each image and the total time of 1000 images were recorded. The accuracy and efficiency of AI system and doctor groups were compared. The reading process was divided into two stages. The diagnostic coincidence rate and the average reading time of each group between the two parts were calculated and compared. This study protocol was approved by Ethic Committee of Zhongshan Ophthalmic Center, Sun Yat-sen University (No. 2017KYPJ104). Results After training,the diagnostic coincidence rate of AI system (ZOC-DR-V1) in test set was 94. 7％,AUC was 0. 994. In this "man-machine to war",the diagnostic coincidence rate of primary,intermediate and senior endocrinologist was 94. 0％,91. 4％ and 93. 4％;the diagnostic coincidence rate of primary,intermediate and senior ophthalmologist was 92. 7％,94. 4％ and 95. 6％;the diagnostic coincidence rate of AI system was 95. 2％. There was no difference in the diagnostic coincidence rate between AI system and senior ophthalmologist ( P = 0. 749 ) . The mean reading time of each image of primary, intermediate and senior endocrinologists was (4. 63±1. 87),(3. 74±3. 47) and (5. 71±3. 47) seconds,and the total time of 1000 images of primary,intermediate and senior endocrinologists was 1. 29,1. 04 and 1. 58 hours;the mean reading time of each image of primary,intermediate and senior ophthalmologists was ( 7. 25 ± 6. 58 ) , ( 5. 18 ± 5. 01 ) and ( 5. 18 ± 3. 47 ) seconds,and the total time of 1000 images of primary,intermediate and senior endocrinologists was 2. 02,1. 44 and 1. 44 hours;the mean and total time of AI system was (1. 62±0. 67) seconds and 0. 45 hours,and the reading time of AI system was significantly shorter than that of the doctor groups (all at P=0. 000). The diagnostic coincidence rates between previous and posterior part of primary endocrinologist, primary and intermediate ophthalmologist were significantly different (χ2=11. 986,6. 517,10. 896;all at P<0. 05),and the mean reading time in the posterior part was significantly shorter than that in the previous part of intermediate and senior endocrinologist and primary ophthalmologist (t=4. 175,8. 189,5. 160;all at P<0. 01). While the reading time of AI system remained stable throughout the process(χ2=3. 151,P=0. 103;t=0. 038,P=0. 970). Conclusions The ophthalmic AI system based on fundus images has a good diagnostic efficiency,and its diagnostic coincidence rate can compare with senior ophthalmologist,providing a new method and platform for large-scale DR screening.

Adipose-derived mesenchymal stem cell (ADSC) has become a research hotspot in the field of regenerative medicine and stem cells in recent years because of its rich stock, easy access and low immunogenicity. ADSC can regulate immune system not only directly by interacting with immune cells, such as T cells, macrophages and B cells, but also indirectly via secreting soluble cytokines, such as interleukin (IL), growth factors and extracellular vesicles. Meanwhile, the immunomodulatory effects of ADSC have been demonstrated in vitro and in vivo experiments and applied to treat various of immune-related diseases with good results, such as systemic scleroderma, systemic lupus erythematosus and atopic dermatitis, etc. In this article, the direct and indirect immunomodulatory mechanisms and clinical applications of ADSC are described, its research direction and application prospect are also prospected.

Adipose-derived mesenchymal stem cell (ADSC) has become a research hotspot in the field of regenerative medicine and stem cells in recent years because of its rich stock, easy access and low immunogenicity. ADSC can regulate immune system not only directly by interacting with immune cells, such as T cells, macrophages and B cells, but also indirectly via secreting soluble cytokines, such as interleukin (IL), growth factors and extracellular vesicles. Meanwhile, the immunomodulatory effects of ADSC have been demonstrated in vitro and in vivo experiments and applied to treat various of immune-related diseases with good results, such as systemic scleroderma, systemic lupus erythematosus and atopic dermatitis, etc. In this article, the direct and indirect immunomodulatory mechanisms and clinical applications of ADSC are described, its research direction and application prospect are also prospected.

Chronic refractory wounds and scars caused by abnormal wound repair seriously damage the health of patients and affect their quality of life. At present, there is a lack of simple but effective and economical treatment methods. Adipose-derived stem cells (ASCs), as a kind of mesenchymal stem cells with multi-directional differentiation potential, have been confirmed by several in vivo and in vitro studies to promote wound healing by promoting epithelialization, angiogenesis, immunoregulation, antioxidant properties, and other mechanisms. ASCs and their derivatives have been used in the treatment of refractory wounds caused by burns, diabetic, and radiation injuries with good results achieved. Their potential to become new materials for wound repair has also been confirmed. This paper reviewed the mechanism and clinical application of ASCs in promoting wound repair, and looked into its research direction and prospects.

Objective:To investigate the allocation of nursing human resources in burn centers in China.Methods:A cross-sectional survey was conducted. Using a self-designed questionnaire, a survey was carried out from January to March 2022 to investigate the January to December 2021 status of 39 burn centers in China that met the inclusion criteria based on six strategic regions and other regions, including the hospital grade and the region, the number of nurses and opening beds in the burn centers and burn intensive care units (BICUs), the age, working seniority in burn specialty, educational background, professional title, personnel employment, and turnover of nurses and training of newly recruited nurses in the burn centers.Results:This survey covered 30 provinces, municipalities, and autonomous regions in China (excluding Hong Kong Special Administrative Region, Macao Special Administrative Region, and Taiwan region of China). A total of 39 questionnaires were collected, all of which were valid. The 39 burn centers were located in 38 tertiary A hospitals and 1 tertiary B hospital, with 26 burn centers in strategic areas. The nurse/bed ratio of burn centers in the Greater Bay Area of Guangdong, Hong Kong, and Macao was the highest, while the nurse/bed ratio of burn centers in border ethnic minority area was the lowest. Except for the Chengdu-Chongqing Economic Circle, BICUs had been set up in burn centers in other regions. Among the 39 burn centers, the percentage of nurses aged 25 to 34 years was 51.21% (738/1 441), the percentage of nurses worked in burn specialty for less than 5 years was 31.16% (449/1 441), the percentage of nurses with bachelor's degree was 69.74% (1 005/1 441), and the percentage of nurses with nursing professional title was 44.14% (636/1 441), which were the highest. There were significant differences in the employment of nurses, the percentage of permanent nurses in burn centers in the collaborative development zone of Beijing-Tianjin-Hebei was 82.48% (113/137), while the percentage of permanent nurses in burn centers in important military strategic area was only 9.42% (34/361); the turnover rate of nurses was 9.03% (143/1 584), among which the turnover rate of nurses was 18.14% (80/441) in burn centers in important military strategic area. The training for newly recruited nurses in 39 burn centers was mainly based on the guidance of senior nurses and the pre-job education+specialist training.Conclusions:The burn nursing human resources in strategic areas in China are seriously insufficient and unevenly distributed, with unstable nurse team and lack of standardized specialist training. In particular, the nursing human resources in BICUs need to be equipped and supplemented urgently.