Flatheads and Spooneys: Fishing for a Living in the Ohio River Valley

Since the early 1800s, people have made a living fishing and harvesting mussels in the lower Ohio Valley. These river folk are conscious of an occupational and social identity separate from those who earn their living from the land. Sustained by a shared love of the river, deriving joy from the beauty of their chosen environment, and feeling great pride in their ability to subsist on its wild resources and to master the skills required to make a living from it, many still identify with the nomadic houseboat-dwelling subculture that flourished on the river from the early nineteenth century to the 1950s. Today’s community of fisherfolk is small and economically marginal, but their activities sustain a complex set of traditional skills and a body of verbal folklore associated with river life. In Flatheads and Spoonies, Jens Lund describes the activities, boats, gear, verbal lore, and sense of identity of the fisher folk of the lower Ohio River Valley and provides historical and ethnobiological background for their way of life. Lund connects the importance of river fish in the diet of inhabitants of the valley to local fishing activities and explores the relationship between river people and those whose culture is primarily land-based, painting a colorful portrait of river fishing and river life. This book offers a look—historical and ethnographic—at a little-known aspect of traditional life in the American Midwest, still surviving today despite immense changes in environment, resources, and economic base. Jens Lund is an independent folklorist, an instructor at Linfield College, and an adjunct faculty member at the University of Washington.https://uknowledge.uky.edu/upk_folklore/1004/thumbnail.jp

Towards a Benchmark Framework for Model Order Reduction in the Mathematical Research Data Initiative (MaRDI)

The race for the most efficient, accurate, and universal algorithm in scientific computing drives innovation. At the same time, this healthy competition is only beneficial if the research output is actually comparable to prior results. Fairly comparing algorithms can be a complex endeavor, as the implementation, configuration, compute environment, and test problems need to be well-defined. Due to the increase in computer-based experiments, new infrastructure for facilitating the exchange and comparison of new algorithms is also needed. To this end, we propose a benchmark framework, as a set of generic specifications for comparing implementations of algorithms using test cases native to a community. Its value lies in its ability to fairly compare and validate existing methods for new applications, as well as compare newly developed methods with existing ones. As a prototype for a more general framework, we have begun building a benchmark tool for the model order reduction (MOR) community. The data basis of the tool is the collection of the Model Order Reduction Wiki (MORWiki). The wiki features three main categories: benchmarks, methods, and software. An editorial board curates submissions and patrols edited entries. Data sets for linear and parametric-linear models are already well represented in the existing collection. Data sets for non-linear or procedural models, for which only evaluation data, or codes / algorithmic descriptions, rather than equations, are available, are being added and extended. Properties and interesting characteristics used for benchmark selection and later assessments are recorded in the model metadata. Our tool, the Model Order Reduction Benchmarker (MORB) is under active development for linear time-invariant systems and solvers.Comment: 8 pages, 2 figure