Implementation of a hypertext-based curriculum for emergency medicine on the World Wide Web

This project reports the publication of a variety of existing curricular resources for emergency medicine on the global Internet in a format that allows hypertext links between related material, timely updates, and end-user feedback. Curricular elements were converted to Hypertext Markup Language with extensive links between related content. The completed document contains instructions for curriculum development, specific curricula for subspecialty areas within a residency, reading lists for subspecialty curricula, banks of images, and board-type questions with answers. Users are provided with a mechanism to provide immediate feedback to section editors with suggestions for changes, including new references. Access to all or part of the document can be controlled via passwords, but is potentially available to anyone with an Internet connection and a World Wide Web browser. The document may by viewed on the World Wide Web at: http:@www.brown.edu@Administration@emergency_Medicine@ curr.html.     

Keeping calcium in its place: Ca(2+)-ATPase and phospholamban

Electron microscopy is gradually revealing more and more about the structure of the calcium pump from the sarcoplasmic reticulum, Ca(2+)-ATPase. The most recent result reveals the ATP-binding site, and two different avenues are being pursued towards achieving a higher resolution structure. Although no such structures are currently available for phospholamban, various spectroscopies and site-directed mutagenesis have been combined to produce a compelling structural model for its regulation of Ca(2+)-ATPase.     

An LP-based heuristic procedure for the generalized assignment problem with special ordered sets

The generalized assignment problem with special ordered sets (GAPS2), is the problem of allocating n tasks to m time-periods, where each task must be assigned to a time-period, or shared between two consecutive time-periods. For reasonably large values of m and n the NP-hard combinatorial problem GAPS2 becomes intractable for standard mathematical programming software, hence there is a need for heuristic algorithms to solve such problems. It will be shown how an LP-based heuristic developed previously for the well-established generalized assignment problem can be modified and extended to solve GAPS2. Encouraging results, in terms of speed and accuracy, in particular when compared to an existing heuristic for GAPS2, are described.     

A wavelet-based procedure for process fault detection

To detect faults in a time-dependent process, we apply a discrete wavelet transform (DWT) to several independently replicated data sets generated by that process. The DWT can capture irregular data patterns such as sharp "jumps" better than the Fourier transform and standard statistical procedures without adding much computational complexity. Our wavelet coefficient selection method effectively balances model parsimony against data reconstruction error. The few selected wavelet coefficients serve as the "reduced-size" data set to facilitate an efficient decision-making method in situations with potentially large-volume data sets. We develop a general procedure to detect process faults based on differences between the reduced-size data sets obtained from the nominal (in-control) process and from a new instance of the target process that must be tested for an out-of-control condition. The distribution of the test statistic is constructed first using normal distribution theory and then with a new resampling procedure called "reversed jackknifing" that does not require any restrictive distributional assumptions. A Monte Carlo study demonstrates the effectiveness of these procedures. Our methods successfully detect process faults for quadrupole mass spectrometry samples collected from a rapid thermal chemical vapor deposition process