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Table 2: Classi cation Results for Biomedical data
2005
"... In PAGE 6: ... With radius rs = 0:15, it performs better for both rates, except the false alarm rate in the setosa class which di er by 0:56%. Similar results are obtained for the Biomedical data set (see Table2 ), but with the exception that the false positive rate is higher. With radius rs = 0:09 the overall classi cation performance is higher.... ..."
Cited by 11
Table 5. Data Standardization Efforts in Biomedical Research
"... In PAGE 7: ... However, data aggregation is difficult unless standard methods for data collection, organization, archiving, and exchange are developed and followed. Table5 summarizes some of the standards for different types of biological data. Development and community-wide use of standards enhances the ability of research groups to exchange data and provides a strong foundation on which to build data storage, processing, and analysis software.... ..."
Table 11: Mechanical Engineering (Biomedical) - continued
"... In PAGE 3: ... Undergraduate units of study Aeronautical Engineering Chemical Engineering Civil Engineering Computer Science Electrical Engineering Mechanical Engineering Interdisciplinary units of study 3.Tables of undergraduate units of study Table 1: Aeronautical Engineering Table 2: Chemical Engineering Table 3: Civil Engineering Table 4: Computer Engineering Table 5: Electrical Engineering Table 5A: Electrical Engineering (Information Systems) Table 6: Mechanical Engineering Table 7: Mechanical Engineering (Mechatronics) Table 8: Project Engineering and Management (Civil) Table 9: Telecommunications Engineering Table 10: Software Engineering Table11 : Mechanical Engineering (Biomedical) Table 12: Faculty of Engineering (Advanced Engineering and Faculty-Wide Elective Units) 4. Regulations Undergraduate Degree Requirements Bachelor of Engineering Resolutions of the Senate iv 1 1 5 5 11 21 32 34 41 53 55 55 59 64 69 72 76 79 83 87 89 92 96 100 101 101 101 101 Combined Degrees of Bachelor of Engineering with Bachelor of Science, Commerce or Arts Resolutions of the Faculty 5.... In PAGE 100: ... Table11 : Mechanical Engineering (Biomedical) Credit A) Assumed Knowledge P) Prerequisite Unit of Study Points C) Corequisite N) Prohibitions and other information Offered Candidates for the degree of Bachelor of Engineering in Mechanical Engineering (Biomedical) are required to gain credit for the core units of study set out below. Any additional credit necessary to satisfy Section 9 shall be gained by completing additional credit points of elective units of study, as recommended by the Faculty, as may be necessary to gain credit for a total of not less than 192 credit points.... In PAGE 102: ... Table11 : Mechanical Engineering (Biomedical) - continued Credit A) Assumed Knowledge P) Prerequisite Unit of Study Points C) Corequisite N) Prohibitions and other information Offered Notes to Table 8 (1) For core units of study offered by other than the Faculty of Engineering, any assumed knowledge, prerequisite and corequisite requirements will be as prescribed by that Faculty. (2) These units of study are core for candidates for the degree of Bachelor of Engineering in Mechanical Engineering (Biomedical) and the combined degree BE/BSc: but not for candidates for the combined degrees BE/BCom and BE/BA.... In PAGE 103: ... Table11 : Mechanical Engineering (Biomedical) - continued Unit of Study Credit Points A) Assumed Knowledge P) Prerequisite C) Corequisite N) Prohibitions and other information Offered MECH 4620 MECH 4630 MECH 4230 MECH 4240 BCHM 2001 MICR 2001 Industrial Ergonomics Introduction to Operations Research Environmental Acoustics and Noise Control Energy and the Environment Genes and Proteins Introductory Microbiology 2 2 2 4 8 8 N) MECH 4600 Industrial Engineering P) MATH 2001 and MATH 2005. N) MECH 4600 Industrial Engineering P) 24 credit points of third year units of study.... ..."
Table 1: Basic statistics for some scientific collaboration networks. GP is our network. SPIRES is a data set of papers in high-energy physics. Medline is a database of articles on biomedical research. Mathematics comprises articles from Mathematical Reviews. NCSTRL is a database of preprints in computer science. Details on those databases can be found in [3, 4].
2007
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Table 4. Data from atomic absorption spectrometry
"... In PAGE 4: ... The program PROGRESS^ was obtained from Rousseeuw and Leroy. Results and Discussion Real data from atomic absorption spectrometry obtained for biomedical research (see Table4 ) were analysed using LS, SM, RM and LMS. Some of these calibration data did not contain outliers.... In PAGE 6: ... . 3 * See Table4 for complete calibration data. i See Table 5 for the outlier(s) rejected by the modified LMS method.... In PAGE 7: ... The results of this approach for the analysis of some samples are given in Table 6. Prediction of the concentration is performed by means of LS with the calibration data from Table4 . Calibration with the complete data set is compared with the calibration after the rejection of the outlier(s), which is based on the modified LMS method.... ..."
Table 1 - Sample of our integrated biomedical sources
"... In PAGE 2: ... For each of them, we recovered information, sometimes available on their Web site. Examples of such sources are given in Table1 . We indicate their name, what kind of information they contain, the cross-references between the other sources we integrate (here, we only give the cross-references between the sources of this sample) and the URL from where it is possible to query the source.... In PAGE 2: ... However, this meta-information is usually not available or hard to exploit when provided, which is the reason why we are working on another way to recover this essential information for data sources description. Information extraction With the query URL for each source (given in Table1 ), we have direct and dynamic access to data. Our aim is to extract meta-information from the output provided by the source query tool.... In PAGE 4: ... Addressing semantic heterogeneity Among the four categories of heterogeneity mentioned in the introduction, three of them have been solved. The information presented in Table1 enables to manage the content heterogeneity. With the information extraction method, we solve the problem of output format heterogeneity.... ..."
Table 1. Variables used in the biomedical research data simulation.
"... In PAGE 4: ... Blood samples were obtained three times weekly via tail vein bleeding, and analyzed for blood count, weight, survival status, and a panel of molecular markers for liver injury. A complete list of parameters meas- ured is provided in Table1 . This experimental approach provided a tempo- ral dataset from each individual animal.... In PAGE 5: ... 3.2 Biomedical Research Data We have used miniTUBA to study causal relationships among a set of clinical parameters ( Table1 ) related to the inflammatory profile and clinical condition of mice over a period of eight weeks follow- ing common bile duct ligation (CBDL), sham operation, or no treatment at all. Figure 4 shows predicted top networks and score distributions with Markov lags of 1, 2, 3, 4, and 5 days.... ..."
Table 1: The 15 most frequent verbs in the biomedical data and in the BNC
"... In PAGE 3: ...97. Table1 illustrates some of these big differences by showing the list of 15 most frequent verbs in the two corpora. 3 Approach We extended the system of Korhonen et al.... ..."
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Table 2. Comparison between V-detector and other methods using biomedical data
2004
"... In PAGE 8: ... 134 of the patients are normal; 75 patients are carrier of the disease, the anomalies to be detected. Table2 compares the results from MILA and Single Level NSA, and the results from V-detector using self radius 0.... ..."
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Table 2: Biomedical Set.
2005
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