receptor,M1/M2M1/M2 macrophage polarization,CDCcomplement-dependent cytotoxicity,AICDactivation-induced cell death,DCdendritic cell,IDOindoleamine 2,3-dioxygenase,Tfhfollicular T helper cell,ThT helper cell,Tregregulatory T cell,Bregregulatory B cell,Bmemmemory B cell,MHC-IImajor histocompatibility complex...
All the versions of models m1 and m2 that utilised the instrumental-variables method in their estimations yielded comparable outcomes. Conversely, in the m1 and m2 models that did not employ the instrumental-variables method, the contribution of cardiologists was significantly underestimated or even ...
to eradication, demonstrated that it has been intercepted annually in the UK on imported plant material since 1987, in particular on poinsettias [8]. In Ontario (Canada), whereB. tabaciis not known to overwinter outdoors, surveys of commercial greenhouse operations routinely find this whitefly in...
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a test cell and a multi-family building located in southern Spain. The main aim of this work is the development of a comparative analysis of the results to highlight their potential differences and raise awareness of the influence of the climate data projection method on the simulation outcome....
sustainability Article How to Move China toward a Green-Energy Economy: From a Sector Perspective Jie-fang Dong 1,2,3,4, Qiang Wang 1,*, Chun Deng 4, Xing-min Wang 1,3 and Xiao-lei Zhang 1,2 1 State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and ...
Among these, M1 and M3 take DE willingness and behavior as dependent variables to examine the influence of FL and FI, respectively. M2 takes FI as the dependent variable and tests the impact of FL. Table 5. The results of the main effect analysis. ...
Therefore, we find that the aggregation error from the assumption of homogeneity between domestic production and imports has limited power in our results. The assumption of the homogeneity of price formation may lead to some overestimation of the emissions of wealthier households in our results ...
When using time series to find long-term co-integrated relationships, there is no need to transform the series. Before co-integration analysis, it is required to test time series stationarity. The linear combination with the variables could be stationary, which means that the long equilibrium ...