We evaluated relationships between environmental measurements and twice-daily odor by stratification, standard linear regression, and linear mixed models. We chose the measure of twice-daily odor for these analyses because these odor ratings were provided in real time and at preselected periods, and therefore should be less susceptible to recall bias than ratings of hourly odor since the previous diary entry. The sample sizes for these analyses varied based on the numbers of missing values for environmental measurements. Although hog-odor ratings were highly right-skewed, the number of observations was adequate to produce normal sampling distributions for the regression coefficients ( Lumley et al. 2002 ); therefore, untransformed odor was considered as a continuous dependent variable in our linear regression models. Hourly average H 2 S, temperature, humidity, and wind speed for hours centered at the time of sitting outside were considered as predictors of odor. We considered H 2 S levels for hours when all measurements were below the detection limit of 2 ppb to be zero.
With active economic growth and a huge number of citizens, China is considered as the largest developing country in the world. Due to urbanization, light pollution generalize is an environmental factor that significantly influences the quality and health of wildlife. According to Pengpeng Han et al., “In the 1990s, the increasing trend in light pollution regions mostly occurred in larger urban cities, which are mainly located in eastern and coastal areas, whereas the decreasing trend areas were chiefly industrial and mining cities rich in mineral resources, in addition to the central parts of large cities.” In the 2000s, nearly all urban cities were dominated by an uprising trend in light pollution. 
A thesis picture. In 1938, Gandhi's party is making inroads in women's rights. Chuyia, a child already married but living with her parents, becomes a widow. By tradition, she is unceremoniously left at a bare and impoverished widows' ashram, beside the Ganges during monsoon season. The ashram's leader pimps out Kalyani, a young and beautiful widow, for household funds. Narayan, a follower of Gandhi, falls in love with her. Can she break with tradition and religious teaching to marry him? The ashram's moral center is Shakuntala, deeply religious but conflicted about her fate. Can she protect Kalyani or Chuyia? Amid all this water, is rebirth possible or does tradition drown all? Written by <jhailey@>