Jeffrey Lund

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Nebraska agencies and public health organizations collaboratively addressed cyanobacterial issues for the first time after two dogs died within hours of drinking water from a small private lake south of Omaha on May 4, 2004. A necropsy on one of the dogs revealed that the cause of death was due to ingestion of Microcystin toxins. Within two weeks after the(More)
The development of mucosal immunity is presumed to be the most important marker of rotavirus infection. The practical difficulties of obtaining small-bowel secretions stimulated this study of the antibody response to acute rotavirus infection at other sites. Forty-four infants admitted to the hospital with rotavirus gastroenteritis had serum, saliva, and(More)
The paper describes an experimental software bridge that exposes LonWorks/sup /spl reg// devices as UPnP/spl trade/ devices to UPnP control points. By UPnP enabling common LonWorks devices, the bridge expands the reach of UPnP technology into the pervasive world of non-IP-based everyday devices. Mapping rules and design decisions implemented in the bridge(More)
A design and verification methodology of advanced SRAM bitcell design is described. Dense bitcells, drawn for embedded SRAM memory applications, are drawn and simulated for cell functionality and stability. After first-pass design, lithographic correction is determined using analytical and iterative simulation routines. Analytical corrections are tailored(More)
The MapReduce parallel programming model is designed for large-scale data processing, but its benefits, such as fault tolerance and automatic message routing, are also helpful for computationally-intensive algorithms. However, popular MapReduce frameworks such as Hadoop are slow for many scientific applications and are inconvenient on supercomputers and(More)
Probabilistic models are a useful means for analyzing large text corpora. Integrating such models with human interaction enables many new use cases. However, adding human interaction to probabilistic models requires inference algorithms which are both fast and accurate. We explore the use of Iterated Conditional Modes as a fast alternative to Gibbs sampling(More)