Plenty of scholars have studied social health insurance and private health insurance in different economies, and many concentrate on crowd-out effect. Different results have been presented due to various data choices and empirical methodologies, but few of them have revealed the transaction mechanism. We study this issue based on updated Chinese provincial panel data from 2002 to 2014 and improved methods. We focus on how the crowd-out effect happens through 3 channels-saving, demographic factor, and medical expenditure using multiple mediator models. Besides, we apply Panel VAR model to study magnitude of the impact these 3 channels contribute, corporately and respectively. Results clearly show that social health insurance has crowd-out effect in penetration but crowd-in effect in density caused by different mediation variables. In addition, the 3 channels have shown lasting and dynamic influences on the crowd-out (in) effect. Finally, our paper provides the anti-crowd-out solutions from both perspectives according to our empirical analyses. For social health insurance system, it is necessary to improve the efficiency and fairness of the funds. For the private health insurance companies, insurance products innovation and privilege policy should be made to decrease the negative impact of saving and medical service overuse.

The influence of leaf temperature on transpiration, photosynthesis, respiration, and other metabolic activities is critical to plant growth, development, production and distribution. However, traditional measurement of canopy temperature by thermocouples or thermal infrared thermometers is laborious and difficult, especially for tall trees. The recent development of a handheld thermal infrared imager has made it possible to perform high temporal and spatial canopy temperature measurements efficiently. However, the signal recorded by the sensor is often a mixture of radiation from the target and the atmosphere, which must be corrected to get the true temperature. In this study, we propose a ground-based indirect measurement method of canopy temperature by a handheld thermal infrared imager through upward observation. Visible and thermal images are combined to distinguish the canopy pixels and sky pixels. To remove the atmospheric radiation from the sky, an empirical atmospheric model is established, which can perform atmospheric correction accurately and efficiently. To validate the proposed method, we collected canopy temperatures of 36 species of trees with a FLIR T420 thermal infrared imager and compared the estimated temperatures with those directly measured by thermocouples. The accuracy of the corrected canopy temperature has been significantly improved with mean absolute error reduced from 3.73 °C to 0.64 °C. This proposed canopy temperature measurement method can be used to various applications in remote sensing product validation, and ecosystem and forestry studies.

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Virilizer-like m6A methyltransferase-associated protein (VIRMA) maintains the stability of the m6A writer complex. Although VIRMA is critical for RNA m6A deposition, the impact of aberrant VIRMA expression in human diseases remains unclear. We show that VIRMA is amplified and overexpressed in 15–20% of breast cancers. Of the two known VIRMA isoforms, the nuclear-enriched full-length but not the cytoplasmic-localised N-terminal VIRMA promotes m6A-dependent breast tumourigenesis in vitro and in vivo. Mechanistically, we reveal that VIRMA overexpression upregulates the m6A-modified long non-coding RNA, NEAT1, which contributes to breast cancer cell growth. We also show that VIRMA overexpression enriches m6A on transcripts that regulate the unfolded protein response (UPR) pathway but does not promote their translation to activate the UPR under optimal growth conditions. Under stressful conditions that are often present in tumour microenvironments, VIRMA-overexpressing cells display enhanced UPR and increased susceptibility to death. Our study identifies oncogenic VIRMA overexpression as a vulnerability that may be exploited for cancer therapy.