A box graph for curriculum planning.
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Recently, a noninvasive medical device (SD-101) capable of detecting breathing pattern changes in a subject lying supine or on the side has been developed. We therefore tested whether the SD-101 would be useful for diagnosing sleep apnea syndrome (SAS). Seventy patients who had been suspicious of SAS were enrolled (M/F = 61/9, mean age +/- SD = 46.6 +/- 14.7 y/o). They took 2 distinct screening tests for SAS (using the SD-101 and one of the most popular screeners for SAS in Japan (Apnomonitor III: AP, Chest Co., Tokyo)) and a simultaneously performed standard polysomnography (PSG). All patients were then asked to respond to a questionnaire on awareness of invasiveness experienced during each study (both from the screeners and from the standard PSG). The data were then compared with those from PSG mainly using correlation coefficients and the x2 test for analysis of subjective invasiveness. Statistical significance was defined as a p value of less than 0.05. As a result, the apnea-hypopnea index (AHI) from SD-101 (r=0.947, p<0.0001) had a significantly higher correlation coefficient (p<0.0001) than that from the AP (r=0.601, p<0.0001) in relation to that from PSG. The SD-101 had a significantly lower invasiveness than either AP or PSG (p<0.0001). In conclusion, SD-101 could be much more useful for checking AHI than other conventional screeners, such as AP, which suggests that SD-101 is more useful for defining SAS.
Recently, gene expression data under various conditions have largely been obtained by the utilization of the DNA microarrays and oligonucleotide arrays. There have been emerging demands to analyze the function of genes from the gene expression profiles. For clustering genes from their expression profiles, hierarchical clustering has been widely used. The clustering method represents the relationships of genes as a tree structure by connecting genes using their similarity scores based on the Pearson correlation coefficient. But the clustering method is sensitive to experimental noise. To cope with the problem, we propose another type of clustering method (the p-quasi complete linkage clustering). We apply this method to the gene expression data of yeast cell-cycles and human lung cancer. The effectiveness of our method is demonstrated by comparing clustering results with other methods.
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The Farnsworth Munsell 100 Hue test is the best test for diagnosing and assessing colour vision defects. A computer program written in Pascal which automatically scores, plots and analyses the results of the Farnsworth Munsell 100 Hue test is presented.
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A single input/single output experiment design may not provide sufficient information to quantify a model of a complex biological system, and multiple input or multiple output experiment designs are often not feasible. An alternate approach is to perform feasible studies with different combinations of input/output ports one at a time, but their simultaneous mathematical analysis can become dimensionally unwieldy. In these cases, a graphical approach can be helpful. Cut set analysis of compartmental models is presented and contrasted with more conventional analysis approaches. It is shown that the complexity of computations is reduced using cut set analysis, especially as the complexity of the model is increased. A case study is presented on quantifying parameters of the enterohepatic subsystem in thyroid hormone distribution and metabolism, based on four different sets of rat experiments performed in the Biocybernetics Laboratory at UCLA.
In an experimental investigation, Stuart pantographic records are geometrically analyzed. The influence of the parameters' inclination and curving of condylar guidance, intercondylar distance, Bennett angle, distance of the plate, and position of the recording pencil are studied. Further quanitative analysis was not performed, as Stuart pantography is only meant for transmission to the respective articulator and is nto suitable for metric recording.
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