Threshold Levels for Selected South Dakota Retail and Service Businesses (2004)

As rural populations decline, services are either lost or become spread over a larger geographic area. The population and service area equations that lead to school closures and consolidation affect all rural services. One of these equations predicts retail success by looking at an area’s potential market size: more potential customers improve the chance for retail success. The flip side is that it is hard to stay in business when the market area population drops too low. Market threshold is doubly relevant in South Dakota, which has counties that are some of the nation’s fastest growing and others that continue to battle long-term population decline

Rural Life Census Data Center Newsletter: Working Poverty

Do more jobs mean increased community wellbeing? Not necessarily if the jobs are low-paying and keep people poor. The “working poor” have increased in many South Dakota counties. Several of those counties have also made the list of U.S. counties that have changed most drastically in working poverty percentages between 1990 and 2000 (Anderson 2006)

Rural Life Census Data Center Newsletter: Hispanics in South Dakota

Few topics draw more attention today than Hispanic immigration and the impacts of legal and illegal immigrants on society. As discussions and debates continue, immigrants from Mexico and other Latin American countries are finding work in the U.S. Hispanics now reside in South Dakota. What draws them here

Business Thresholds: Contrasting Counties with Indian Majorities with Rural and Micropolitan Counties in South Dakota

South Dakota, the land of infinite variety—while the statement is a bit of an exaggeration, the differ¬ences that occur are extreme. The state has two met¬ropolitan areas: Rapid City, classified as “government dependent,” and Sioux Falls, classified as “service dependent.” In addition, there are nine micropolitan counties (counties with cities with populations over 10,000), and analysis shows nine counties where over half the population is American Indian. While South Dakota is home to nine reservations, four reservations are in counties where the majority population is white. This study compares business threshold levels in counties with Indian majorities, other rural coun¬ties, micropolitan counties, and the entire state. Four reservations are not included in this analysis because of a white majority in those counties. Demographic changes may allow a more inclusive grouping in the future

Drought— But Not Dust Bowl

In 2006, fears that the drought in South Dakota would be worse than that of the 1930s made the pages of the New York Times (1). Indeed, this 21st Century drought is serious but, in terms of sheer human misery, it doesn’t match what was called the Dust Bowl, the Great Depression, and the Dirty Thirties. Back when South Dakota State University was South Dakota A&M, rural sociologists conducted studies of the Dust Bowl, so now we can compare the two droughts. “A Graphic Summary of the Relief Situation in South Dakota (1930-1935)” shows numbers of people on relief, number living on farms, banking, and off-farm income (3). The most striking finding concerns relief

Rural Life Census Data Center Newsletter: South Dakota\u27s Food Deserts

For most Americans, shopping takes little time and planning. When one runs out of sugar, a trip to the nearest grocery store is quick and easy. This trip may be more annoying and inconvenient if you live in certain rural areas. Declining populations combined with the loss of jobs often leads to grocery stores serving larger areas. Communities that lack easy access to food supplies, usually because of the lack of grocery stores, are considered food deserts

High throughput sequencing in acute lymphoblastic leukemia reveals clonal architecture of central nervous system and bone marrow compartments

No abstract available

A global profile of replicative polymerase usage

Three eukaryotic DNA polymerases are essential for genome replication. Polymerase (Pol) α–primase initiates each synthesis event and is rapidly replaced by processive DNA polymerases: Polɛ replicates the leading strand, whereas Polδ performs lagging-strand synthesis. However, it is not known whether this division of labor is maintained across the whole genome or how uniform it is within single replicons. Using Schizosaccharomyces pombe, we have developed a polymerase usage sequencing (Pu-seq) strategy to map polymerase usage genome wide. Pu-seq provides direct replication-origin location and efficiency data and indirect estimates of replication timing. We confirm that the division of labor is broadly maintained across an entire genome. However, our data suggest a subtle variability in the usage of the two polymerases within individual replicons. We propose that this results from occasional leading-strand initiation by Polδ followed by exchange for Polɛ