[Research Status of and Recommendations for Prevention and Control of Sleep Disorders in China].

The quality of sleep, a key physiological factor that regulates information, memory, decision making, and other vital brain functions, can affect important physiological functions of the human body. According to disease classification systems, sleep disorders can be categorized into more than 90 types, including sleep apnea, insomnia, and hypersomnia. It may cause a variety of adverse consequences, such as depression, anxiety and other emotional disorders, as well as physical diseases such as hypertension, diabetes and stroke. In addition, the relevant cardiovascular and cerebrovascular diseases and cognitive impairment not only harm physical health, but also are associated with workplace accidents and safety problems, constituting public safety hazards. Sleep disorders have become a major social and scientific problem that impacts on the national economy and the livelihood of the people. Research on sleep disorders should be given more attention by researchers and policy makers. Herein, we mainly discussed the latest findings and difficulties concerning research on the prevention and intervention of sleep disorders and proposed strategies and suggestions accordingly.

The Multivariate Regression Statistics Strategy to Investigate Content-Effect Correlation of Multiple Components in Traditional Chinese Medicine Based on a Partial Least Squares Method.

Amultivariate regression statisticstrategy was developed to clarify multi-components content-effect correlation ofpanaxginseng saponins extract and predict the pharmacological effect by components content. In example 1, firstly, we compared pharmacological effects between panax ginseng saponins extract and individual saponin combinations. Secondly, we examined the anti-platelet aggregation effect in seven different saponin combinations of ginsenoside Rb1, Rg1, Rh, Rd, Ra3 and notoginsenoside R1. Finally, the correlation between anti-platelet aggregation and the content of multiple components was analyzed by a partial least squares algorithm. In example 2, firstly, 18 common peaks were identified in ten different batches of panax ginseng saponins extracts from different origins. Then, we investigated the anti-myocardial ischemia reperfusion injury effects of the ten different panax ginseng saponins extracts. Finally, the correlation between the fingerprints and the cardioprotective effects was analyzed by a partial least squares algorithm. Both in example 1 and 2, the relationship between the components content and pharmacological effect was modeled well by the partial least squares regression equations. Importantly, the predicted effect curve was close to the observed data of dot marked on the partial least squares regression model. This study has given evidences that themulti-component content is a promising information for predicting the pharmacological effects of traditional Chinese medicine.

Correction model for microlens array assembly error in light field camera.

In a light field camera, a microlens array (MLA) assembly error can affect the quality of the image. In this study, aiming to ensure corrective imaging using a light field camera, we accurately evaluate and eliminate the assembly error. We used an error image and a standard image to confirm the MLA assembly error, and we developed an assembly error correction model combined with an image quality evaluation index to correct the error. The proposed error correction model can be employed for various assembly errors and different error ranges. Quantitative analyses are performed for these different scenarios. The proposed model can be applied in accurate imaging using a light field camera, four-dimensional optical radiation field information reconstitution, MLA manufacturing and assembly processes, etc.