Identifying low-PM2.5 exposure commuting routes for cyclists through modeling with the random forest algorithm based on low-cost sensor measurements in three Asian cities.

Cyclists can be easily exposed to traffic-related pollutants due to riding on or close to the road during commuting in cities. PM2.5 has been identified as one of the major pollutants emitted by vehicles and associated with cardiopulmonary and respiratory diseases. As routing has been suggested to reduce the exposures for cyclists, in this study, PM2.5 was monitored with low-cost sensors during commuting periods to develop models for identifying low exposure routes in three Asian cities: Taipei, Osaka, and Seoul. The models for mapping the PM2.5 in the cities were developed by employing the random forest algorithm in a two-stage modeling approach. The land use features to explain spatial variation of PM2.5 were obtained from the open-source land use database, OpenStreetMap. The total length of the monitoring routes ranged from 101.36 to 148.22 km and the average PM2.5 ranged from 13.51 to 15.40 µg/m³ among the cities. The two-stage models had the standard k-fold cross-validation (CV) R2 of 0.93, 0.74, and 0.84 in Taipei, Osaka, and Seoul, respectively. To address spatial autocorrelation, a spatial cross-validation approach applying a distance restriction of 100 m between the model training and testing data was employed. The over-optimistic estimates on the predictions were thus prevented, showing model CV-R2 of 0.91, 0.67, and 0.78 respectively in Taipei, Osaka, and Seoul. The comparisons between the shortest-distance and lowest-exposure routes showed that the largest percentage of reduced averaged PM2.5 exposure could reach 32.1% with the distance increases by 37.8%. Given the findings in this study, routing behavior should be encouraged. With the daily commuting trips expanded, the cumulative effect may become significant on the chronic exposures over time. Therefore, a route planning tool for reducing the exposures shall be developed and promoted to the public.

Development of transgenic zooplankton Artemia as a bioreactor to produce exogenous protein.

Although the crustacean Artemia has been commonly used as an experimental organism and served as a live bait feed for aquaculture, gene transfer system on Artemia sp. to generate stable lines is not well developed. In this study, we optimized a condition for cyst-eletroporation and generated stable lines of transgenic A. sinica. Two expression plasmids directed by the hybrid promoters of cytomegalovirus (CMV) and medaka ß-actin (Mß) were co-electroporated on decapsulated cysts: pCMV-Mß-GFP contained GFP reporter gene and pCMV-Mß-ypGH contained yellowfin porgy GH (ypGH) cDNA. We examined the GFP shown in the Artemia larvae and found that the expression rate was 13.3% (3,219 out of 24,054 examined). We then chose 200 G0 founders which strongly expressed GFP to generate transgenic lines. Homozygotic strains derived from F4 generation of each transgenic line, A3 and A8, were obtained. We proved that transgenic lines A3 and A8 also harbored pCMV-Mß-ypGH and produced recombinant ypGH with a concentration of 0.089 and 0.032 µg per 50 homozygotic nauplii, respectively. Ten live Artemia nauplii were fed daily to zebrafish larvae during 25 to 35 days of post-fertilization. The average body length gain rates of zebrafish larvae fed transgenic Artemia were 16-20% greater than those of control group, indicating the exogenous ypGH produced by transgenic Artemia is functional. Therefore, we concluded that the transgenesis on Artemia is developed, and transgenic Artemia might be highly potentially useful as a new bioreactor material for application in aquaculture and biological researches.