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The aim of infrared and visible image fusion is to integrate the complementary information of the two modalities for high-quality fused images. However, many deep learning fusion algorithms have not considered the characteristics of infrared images in low-light scenes, leading to the problems of weak texture details, low contrast of infrared targets and poor visual perception in the existing methods. Therefore, in this paper, we propose a salient compensation-based fusion method that makes sufficient use of the characteristics of infrared and visible images to generate high-quality fused images under low-light conditions. First, we design a multi-scale edge gradient module (MEGB) in the texture mainstream to adequately extract the texture information of the dual input of infrared and visible images; on the other hand, the salient tributary is pre-trained by salient loss to obtain the saliency map based on the salient dense residual module (SRDB) to extract salient features, which is supplemented in the process of overall network training. We propose the spatial bias module (SBM) to fuse global information with local information. Finally, extensive comparison experiments with existing methods show that our method has significant advantages in describing target features and global scenes, the effectiveness of the proposed module is demonstrated by ablation experiments. In addition, we also verify the facilitation of this paper’s method for high-level vision on a semantic segmentation task.

Background The vulnerability of cardiovascular disease (CVD) patients’ health abilities, combined with the severity of the disease and the overlapping risk factors, leads such people to bear the economic burden of the disease due to the medical services. We estimated the economic burden of CVD and identified the weak link in the design of the medical insurance. Methods Data from 5610 middle-aged and elderly with CVD were drawn from the 2015 wave of “China Health and Retirement Longitudinal Study” (CHARLS). The recommended method of the “World Health Organization” (WHO) was adopted to calculate “catastrophic health expenditure” (CHE), “impoverishment by medical expenses” (IME), and applied the treatment-effect model to analyze the determinants of CHE. Results The incidence of CHE was 19.9% for the elderly families with CVD members, which was 3.6% higher than for uninsured families (16.3%). Families with CVD combined with > 3 other chronic diseases (38.88%) were the riskiest factor for the high CHE in the new rural cooperative medical system (NCMS). Moreover, families with members > 75 years old (33.33%), having two chronic disease (30.74%), and families having disabled members (33.33%), hospitalization members (32.41%) were identified as the high risky determinants for the high CHE in NCMS. Conclusions Elderly with physical vulnerabilities were more prone to CHE. The medical insurance only reduced barriers to accessing health resources for elderly with CVD; however it lacked the policy inclination for high-utilization populations, and had poorly accurate identification of the vulnerable characteristics of CVD, which in turn affects the economic protection ability of the medical insurance. The dispersion between the multiple medical security schemes leads to the existence of blind spots in the economic risk protection of individuals and families.

BackgroundThe vulnerability of cardiovascular disease (CVD) patients’ health abilities, combined with the severity of the disease and the overlapping risk factors, can cause such people to bear the economic burden of the disease due to the medical services.We estimated the economic burden of CVD，and identified the weak link in the design of the medical insurance.MethodsData from 5,610 middle-aged and elderly with CVD were drawn from the 2015 wave of China Health and Retirement Longitudinal Study (CHARLS). The recommended method of the World Health Organization (WHO) was adopted to calculate catastrophic health expenditure (CHE), impoverishment by medical expenses (IME), and applied the treatment-effect model to analyze the determinants of CHE.ResultsThe incidence of CHE was 19.9% of the CVD, compared to 7.6% of the sample households trapped in IME. The incidence of CHE in CVD participating in medical insurance was 2.6% higher than for uninsured families (16.3%).Family size, health satisfaction,combine with other chronic diseases, having hospitalization and disabled members, and participating in insurance were found to be significantly associated with the CHE.Conclusions Elderly with physical vulnerabilities were more prone to CHE. The medical insurance only reduced barriers to accessing health resources for elderly with CVD, but lacked policy inclination for high-utilization populations,and had poorly accurate identification of vulnerable characteristics of CVD,which in turn affects the economic protection ability of the medical insurance. The dispersion between the multiple medical security systems leads to the existence of blind spots in the economic risk protection of individuals and families.

Background In light of the health poverty alleviation policy, we explore whether the New Rural Cooperative Medical System (NRCMS) has effectively reduced the economic burden of medical expenses on rural middle-aged and elderly people and other impoverished vulnerable groups. The study aims to provide evidence that can be used to improve the medical insurance system. Methods Data were obtained from the 2015 China Health and Retirement Longitudinal Study (CHARLS). The method of calculating the catastrophic health expenditure (CHE) and impoverishment by medical expense (IME) was adopted from the World Health Organization (WHO). The treatment effect model was used to identify the determinants of CHE for rural middle-aged and elderly people. Results The incidence of CHE in rural China for middle-aged and elderly people is 21.8%, and the IME is 8.0%. The households that had enrolled in the NRCMS suffered higher CHE (21.9%) and IME (8.0%), than those that had not enrolled (CHE: 20.6% and IME: 7.7%). The NRCMS did not provide sufficient economic protection from CHE for households with three or more chronic diseases, inpatients, or households with members aged over 65 years. Key risk factors for the CHE included education levels, households with inpatients, households with members aged over 65 years, and households with disabilities. Conclusions Although the NRCMS has reduced barriers to the usage of household health services by reducing people’s out-of-pocket payments, it has not effectively reduced the risk of these households falling into poverty. Our research identifies the characteristics of vulnerable groups that the NRCMS does not provide enough support for, and which puts them at a greater risk of falling into poverty due to health impoverishment.

Objective ： We examined the physiological, household, and spatial agglomeration characteristics of the health poverty population in China. We identified weak links that affect the implementation of the medical insurance and further improve its effectiveness for health poverty alleviation. Methods: A national representative sample from the 2015 China Health and Pension Tracking Survey (CHARLS) was analyzed. The WHO recommended method was adopted to calculate catastrophic health expenditure (CHE) and impoverishment by medical expenses (IME). We created a binary indicator for IME as the outcome variable and applied the treatment-effect model to analyze the determinants of IME. Results ： The rate of IME was 7.2% of the overall population, compared to 20.3% of the sample households trapped in CHE. The rate of IME enrolled in insurance schemes was 7.4% higher than that of uninsured families (4.8%). Economic level, living area, family size, age of household head, having hospitalized members, and participating in insurance were statistically significant for the rate of IME. Conclusion ： The original poverty -promoting policies has not reached the maximum point of convergence with China’s current demand for health. The overlapped health vulnerabilities exacerbated the risk of poverty among the elderly and households with high health needs and utilization. In addition, the medical insurance schemes have proven to be insufficient for protection against economic burden of poor households. So, special health needs, age, and household capacity to pay should be comprehensively considered while strengthening the connection between the disease insurance scheme with supplementary insurance. Keywords: medical insurance, poverty alleviation, healthy poverty, catastrophic health expenditure, impoverishment by medical expenses.

BACKGROUND : Based on the health poverty alleviation policy, we explored whether the New Rural Cooperative Medical System (NRCMS) had effectively reduced the economic burden of the rural elderly population and impoverished vulnerable groups with regard to medical expenses, providing further evidence for increasing the medical insurance system. METHODS: Data were obtained from the 2015 China Health and Retirement Longitudinal Study. The method was adapted from WHO to calculate the catastrophic health expenditure (CHE) and impoverishment by medical expense (IME). The treatment effect model was used to identify the determinants of CHE in the rural elderly residents. RESULTS: The incidence of CHE in rural China for the elderly is 19.65%, and the impoverishment by medical expense has reached 6.94%. The households enrolled in NRCMS suffered higher CHE (21.9%) and IME (8.0%), than unenrolled households (20.6%, 7.7%). The NRCMS did not provide sufficient economic protection from CHE for households with 3 chronic diseases, inpatients, or adults over 65, Risk factors for CHE included education levels, households with inpatients, people over 65 years old, disabilities, and so on. CONCLUSIONS: Although the NRCMS had reduced barriers to the use of household health services while reducing their out of pocket payments, in some respects, it was still not effective to reduce the risk of residents falling into poverty. Our research identifies the characteristics of vulnerable groups that the NRCMS does not provide enough support for, and are at risk of falling into poverty through health impoverishment.

Objectives Little is known about the magnitude of catastrophic health expenditure (CHE) attributable to critical disease, especially in the middle-aged and elderly population. This research aimed to exploring the key aspects of how the health insurance fails to protect the middle-aged and elderly against CHE in the past five years. And propose corresponding measures to improve. Methods Data were obtained from the 2011 to 2015 China Health and Retirement Longitudinal Study. The method was adapted from WHO to calculate the catastrophic health expenditure (CHE) and impoverishment by medical expense (IME), and use Generalized Linear Mixed Models (GLMMs) to comprehensively analyze the risk factors that cause middle-aged and elderly people to fall into CHE. Results The incidence of CHE of China’s middle-aged and elderly population has been rose in the five years from 2011 (10.5 %) to 2013 (17.5 %) to 2015 (19.7 %). The CHE of richest families was almost 6 times from 2011 to 2015. Urban Employee Medical Insurance Scheme, the incidence of CHE was up 10 percentage from 2011 to 2015. According to the GLMMs, families have inpatient cares as the most important factor to CHE. The incidence of CHE increased by 2.25 times compared with those who did not use inpatient services. Conclusions The health system needs to control the irrational growth of health expenses and reduce residents’ overuse of health services. Government should take supplementary measures to comprehensively strengthen the advantages of health insurance. Raise residents' awareness of health care, enhance citizens' physical fitness, and avoid unnecessary waste of health resources.

Additional file 1: Supplementary Table 1. Result of validity test and correlation test.

Objective: We examined the physiological, household, and spatial agglomeration characteristics of the health poverty population in China. We identified weak links that affect the implementation of the medical insurance and further improve its effectiveness for health poverty alleviation. Methods: A national representative sample from the 2015 China Health and Pension Tracking Survey (CHARLS) was analyzed. The WHO recommended method was adopted to calculate catastrophic health expenditure (CHE) and impoverishment by medical expenses (IME). We created a binary indicator for IME as the outcome variable and applied the treatment-effect model to analyze the determinants of IME. Results： The incidence of IME was 7.2% of the overall population, compared to 20.3% of the sample households trapped in CHE. The incidence of IME enrolled in insurance schemes was 7.4% higher than that of uninsured families (4.8%). Economic level, living area, family size, age of household head, having hospitalized members, and participating in insurance were statistically significant for the occurrence of IME. Conclusion： The original poverty -promoting policies has not reached the maximum point of convergence with China ‘s current demand for health. The overlapped health vulnerabilities exacerbated the risk of poverty among the elderly and households with high health needs and utilization. In addition, the medical insurance schemes have proven to be insufficient for protection against economic burden of poor households. So, special health needs, age, and household capacity to pay should be comprehensively considered while strengthening the connection between the disease insurance scheme with supplementary insurance.

Background We examined the physiological, household, and spatial agglomeration characteristics of the health poverty population in China. We identified weak links that affect the implementation of the medical insurance and further improve its effectiveness for health poverty alleviation. Methods A national representative sample from the China Health and Retirement Longitudinal Study (CHARLS) was analyzed. The WHO recommended method was adopted to calculate catastrophic health expenditure (CHE) and impoverishment by medical expenses (IME). We created a binary indicator for IME as the outcome variable and applied the treatment-effect model to analyze the determinants of IME. Results The incidence of IME was 7.2% of the overall population, compared to 20.3% of the sample households trapped in CHE. The incidence of IME enrolled in insurance schemes was 7.4% higher than that of uninsured families (4.8%). Economic level, living area, family size, age of household head, having hospitalized members, and participating in insurance were statistically significant for the occurrence of IME. Conclusions The original poverty-promoting policies has not reached the maximum point of convergence with China’s current demand for health. The overlapped health vulnerabilities exacerbated the risk of poverty among the elderly and households with high health needs and utilization. In addition, the medical insurance schemes have proven to be insufficient for protection against economic burden of poor households. So, special health needs, age, and household capacity to pay should be comprehensively considered while strengthening the connection between the disease insurance scheme with supplementary insurance.

Abstract Background:The vulnerability of cardiovascular disease (CVD) patients’ health abilities, combined with the severity of the disease and the overlapping risk factors, can cause such people to bear the economic burden of the disease due to the use of medical services.We estimated the economic burden of patients with CVD，and identified the weak link in the design of the medical insurance. Methods:Data from 5,610 middle-aged and elderly with CVD were drawn from the 2015 wave of China Health and Retirement Longitudinal Study (CHARLS). The recommended method of the World Health Organization (WHO) was adopted to calculate catastrophic health expenditure (CHE), impoverishment by medical expenses (IME), and applied the treatment-effect model to analyze the determinants of CHE. Results:The incidence of CHE was 19.9% of the CVD, compared to 7.6% of the sample households trapped in IME. The incidence of CHE in CVD participating in medical insurance was 2.6% higher than for uninsured families (16.3%).Family size, health satisfaction,combine with other chronic diseases, having hospitalization and disabled members, and participating in insurance were found to be significantly associated with the likelihood of CHE. Conclusions:Elderly with physical vulnerabilities were more prone to CHE. The medical insurance only reduced barriers to accessing health resources for elderly with CVD, but lacked policy inclination for high-utilization populations,and had poorly accurate identification of vulnerable characteristics of CVD,which in turn affects the economic protection ability of the medical insurance. The dispersion between the multiple medical security systems leads to the existence of blind spots in the economic risk protection of individuals and families. Keywords:cardiovascular disease, catastrophic health expenditure, impoverishment by medical expense, medical insurance, elderly households

The absolute configurations of the three unknown chiral centers in vinylamycin were predicted according to the structural comparison with microtermolide A and rakicidin A, and then total syntheses of vinylamycin were applied to determine the three unknown chiral centers as 14R, 15R, and 16S.

Absolute configurations of the three consecutive chiral centers in the cyclic depsipeptide microtermolide A have been tentatively assigned as 2‴R, 3‴R, and 4‴R. However, on the basis of a structural comparison with vinylamycin, another depsipeptide with a unique 4-amino-2,4-pentadienolate structure, the chiral centers could also be assigned as 2‴R, 3‴R, and 4‴S. Here, the first total synthesis of microtermolide A is reported and the configurations of the three consecutive chiral centers were confirmed to be 2‴R, 3‴R, and 4‴S. A similar approach was used to determine the analogous centers in microtermolide B as 2‴R, 3‴R, and 4‴S.