Finnish Americans and the Farm Revolt of the 1930s

Farm protest in the United States attracted widespread attention in the 1930s as militant farmers interfered with foreclosure sales, demonstrated at county court houses and state capitals, and blocked highways and stopped trains to prevent crops and livestock from going to market in an effort to raise farm prices. The best known of the protest groups was the Farmers Holiday Association, which was formed in 1932. Prior to the Holiday, however, a left-wing group organized by Communists in 1930 known as the United Farmers League (UFL) gained an initial following in the cutover country of the Upper Peninsula of Michigan, northern Wisconsin, northern Minnesota, and parts of the Dakotas and northeast Montana. Finnish Americans dominated the UFL in the Upper Midwest and in a few locales in the Dakotas. Evidence for this high level of influence comes from the fact that the head of the Communist Party’s Agrarian Department was Henry Puro, a key figure in Finnish American Communist circles and a member of the Party’s Politburo. This paper will focus on Finnish American involvement in the UFL and, to a lesser extent, the broader-based Farmers Holiday movement.

COMPUTATIONAL PREDICTION OF THE SPORULATION NETWORK IN CLOSTRIDIUM THERMOCELLUM

Sporulation is a process in which some bacteria divide asymmetrically to form tough protective endospores, which help them to survive in a hazardous environment for a quite long time. The factors which can trigger this process are diverse. Heat, radiation, chemicals and lacking of nutrition can all lead to the formation of endospores. This phenomenon will lead to low productivity during industrial production. However, the sporulation mechanism in a spore-forming bacterium, Clostridium theromcellum, is still unclear. Therefore, if a regulation network of sporulation can be built, we may figure out ways to inhibit this process. In this study, a computational method is applied to predict the sporulation network in Clostridium theromcellum. A working sporulation network model with 40 new predicted genes and 4 function groups is built by using a network construction program, CINPER. 5 sets of microarray expression data in Clostridium theromcellum under different conditions have been collected. The analysis shows the predicted result is reasonable.