Source apportionment of anthropogenic and biogenic organic aerosol over the Tokyo metropolitan area from forward and receptor models.

Organic aerosol (OA) is a dominant component of PM2.5, and accurate knowledge of its sources is critical for identification of cost-effective measures to reduce PM2.5. For accurate source apportionment of OA, we conducted field measurements of organic tracers at three sites (one urban, one suburban, and one forest) in the Tokyo Metropolitan Area and numerical simulations of forward and receptor models. We estimated the source contributions of OA by calculating three receptor models (positive matrix factorization, chemical mass balance, and secondary organic aerosol (SOA)-tracer method) using the ambient concentrations, source profiles, and production yields of OA tracers. Sensitivity simulations of the forward model (chemical transport model) for precursor emissions and SOA formation pathways were conducted. Cross-validation between the receptor and forward models demonstrated that biogenic and anthropogenic SOA were better reproduced by the forward model with updated modules for emissions of biogenic volatile organic compounds (VOC) and for SOA formation from biogenic VOC and intermediate-volatility organic compounds than by the default setup. The source contributions estimated by the forward model generally agreed with those of the receptor models for the major OA sources: mobile sources, biomass combustion, biogenic SOA, and anthropogenic SOA. The contributions of anthropogenic SOA, which are the main focus of this study, were estimated by the forward and receptor models to have been between 9 % and 15 % in summer 2019. The observed percent modern carbon data indicate that the amounts of anthropogenic SOA produced during daytime have substantially declined from 2007 to 2019. This trend is consistent with the decreasing trend of anthropogenic VOC, suggesting that reduction of anthropogenic VOC has been effective in reducing anthropogenic SOA in the atmosphere.

Feasibility and short-term impact of the "case study in-house group training program for family nursing" at medical facilities.

The aim of this study was to evaluate the feasibility and short-term impact of case study training in family nursing care targeting midlevel nursing professionals. The intervention group participated in four 90-minute case study training sessions over 6 months, while the control group participated in two 90-minute lectures. Using primary outcome variables as evaluation indexes, we measured the participants' total scores on the Family Importance in Nursing Care Scale and 4 subitems 3 times (before, immediately after and 1 month after training) from May 2014 to March 2015 and then conducted 2-way repeated-measure analysis of variance. We asked the participants and training planners/managers to provide feedback on their evaluation and then performed content analysis on their responses. Although the primary impact due to the different measurement times was significant, no significant difference was observed in the interaction between measurement time and training differences. Of the 4 subitems, significant interactions because of measurement time and training differences were observed only in Fam-B. Feedback data showed all participants felt that their understanding of the importance of family nursing care was strengthened, and participants in the intervention group specifically described how they were utilizing what they had learned from training in practice.

Changes in breast skin temperature during the course of breastfeeding.

Breast skin temperature was measured during breastfeeding in 11 mothers on a total of 47 occasions, using a Coretemp CM-210 (Terumo Corp, Tokyo, Japan), to examine the changes of breast skin temperature during the course of breastfeeding. In both breasts, the breast skin temperature was significantly higher than the baseline skin temperature from the beginning of suckling up to 5 minutes after completion of suckling, and the mean breast skin temperature before breastfeeding between 4 days and 8 weeks postpartum was significantly higher than that on the first 1 to 2 days postpartum. These results show that the breast skin temperature increases between the first 1 to 2 days and 4 to 5 days postpartum and that breast skin temperature remains high during suckling and up to 5 minutes after the completion of suckling. These findings will be useful for educating mothers during the perinatal period on the normal course of breastfeeding by individual instruction or in classes.