Hood's Tennessee Campaign

HOODS: finding context-specific neighborhoods of proteins, chemicals and diseases

Clustering algorithms are often used to find groups relevant in a specific context; however, they are not informed about this context. We present a simple algorithm, HOODS, which identifies context-specific neighborhoods of entities from a similarity matrix and a list of entities specifying the context. We illustrate its applicability by finding disease-specific neighborhoods of functionally as...

Tennessee ashvilleN Final Program

Blastomycosis in northeast Tennessee.

STUDY OBJECTIVES To study the epidemiologic and clinical features of blastomycosis in northeast Tennessee. DESIGN Retrospective review of blastomycosis cases in the region from 1980 through 1995. SETTING Hospitals located in the Tri-Cities region of northeast Tennessee. PATIENTS Seventy-two patients with confirmed blastomycosis infection. INTERVENTIONS None. RESULTS During the 1980 to...

Campaign Effects

We review recent empirical evidence that shows political campaigns are more potent than widely believed, focusing on the conceptual and methodological advances that have produced these findings. Conceptually, a broader definition of effects—that includes learning and agenda-control, as well as vote choice—characterizes contemporary research. This research also features two kinds of interactive ...

Fuzzy Real-Time Optimization of the Tennessee Eastman Challenge Process

A Real-Time Optimization (RTO) strategy incorporating the fuzzy sets theory is developed, where the problem constraints obtained from process considerations are treated in fuzzy environment. Furthermore, the objective function is penalized by a fuzzified form of the key process constraints. To enable using conventional optimization techniques, the resulting fuzzy optimization problem is the...