A Standard Data Base for the Analysis of Japanese Security Markets

1991 ◽  
Vol 64 (1) ◽  
pp. 87 ◽  
Author(s):  
Yasushi Hamao
Keyword(s):  
Data Base ◽  
Standard Data ◽  
Security Markets

New Artificial Metaplasticity MLP Results on Standard Data Base

2009 ◽  
pp. 174-179
Author(s):  
Alexis Marcano-Cedeño ◽  
Aleksandar Jevtić ◽  
Antonio Álvarez-Vellisco ◽  
Diego Andina
Keyword(s):  
Data Base ◽  
Standard Data

scholarly journals A System for Forecasting Cut-off Slope Collapse during Heavy Rain Using Standard Data Base and Rainfall Factors.

1999 ◽  
pp. 63-77
Author(s):  
Hideaki KIKUCHI ◽  
Kohei FURUKAWA ◽  
Yasuo OYAMA ◽  
Seishi OKUZONO ◽  
Isao NISHIOKA
Keyword(s):  
Data Base ◽  
Heavy Rain ◽  
Standard Data ◽  
Slope Collapse

Computer-Assisted Bayesian Diagnosis of Connective Tissue Diseases

1981 ◽  
Vol 20 (01) ◽  
pp. 19-23 ◽  
Author(s):  
T. R. Walsh ◽  
D. A. B. Lindberg ◽  
E. J. Klink ◽  
G. C. Sharp
Keyword(s):  
Connective Tissue ◽  
Data Base ◽  
Connective Tissue Diseases ◽  
Clinical Problem ◽  
Computer Assisted ◽  
Diagnostic Model ◽  
Laboratory Findings ◽  
Educational Value ◽  
Clinical Problem Solving ◽  
Standard Data

Bayes’ Theorem was applied interactively with a microcomputer to a rheumatology data base to provide a differential diagnosis of six primary connective tissue diseases. This diagnosis was evaluated in terms of the clinical diagnosis reached by a consensus of at least two of three rheumatologists. For each patient case, the diagnosis having the highest likelihood, after taking into account disease prevalence and combined symptom frequencies, was selected by the computer. The diagnostic model was trained by data from thoroughly studied clinical cases, for each of which 44 clinical and laboratory findings were collected according to a standard data base protocol. Each case received one of six diagnoses based on full clinical appraisal. Comparison of the diagnoses revealed 100 per cent agreement between the computer and the clinicians for the training population of 137 cases, and 94.4 per cent agreement for an independent, thoroughly studied test set of 89 cases. During testing, we observed the system had a genuine educational value for medical students and non-rheumatologists. In addition, there appeared to be a potential future use in facilitating actual clinical problem solving.

The Modeler's Influence on Calculated Solubilities for Performance Assessments at the Äspö Hard-Rock Laboratory

1999 ◽  
Vol 556 ◽  
Author(s):  
A. T. Emrén ◽  
Randy Arthur ◽  
Pierre D. Glynn ◽  
Jude McMurry
Keyword(s):  
Data Base ◽  
Thermodynamic Data ◽  
Hard Rock ◽  
Solid Phase ◽  
Performance Assessments ◽  
Test Cases ◽  
Data Bases ◽  
Standard Data ◽  
System A ◽  
Rock Laboratory

AbstractFour researchers were asked to provide independent modeled estimates of the solubility of a radionuclide solid phase, specifically Pu(OH)4, under five specified sets of conditions. The objectives of the study were to assess the variability in the results obtained and to determine the primary causes for this variability.In the exercise, modelers were supplied with the composition, pH and redox properties of the water and with a description of the mineralogy of the surrounding fracture system A standard thermodynamic data base was provided to all modelers. Each modeler was encouraged to use other data bases in addition to the standard data base and to try different approaches to solving the problem.In all, about fifty approaches were used, some of which included a large number of solubility calculations. For each of the five test cases, the calculated solubilities from different approaches covered several orders of magnitude. The variability resulting firom the use of different thermodynamic data bases was in most cases, far smaller than that resulting from the use of different approaches to solving the problem.

Using Personal Cell Phones for Ecological Momentary Assessment

2013 ◽  
Vol 18 (1) ◽  
pp. 3-11 ◽  
Author(s):  
Emmanuel Kuntsche ◽  
Florian Labhart
Keyword(s):  
Data Collection ◽  
Ecological Momentary Assessment ◽  
Communication Systems ◽  
Cell Phones ◽  
Personal Digital Assistants ◽  
Natural Environments ◽  
Mobility Patterns ◽  
Standard Data ◽  
Ecological Momentary ◽  
Momentary Assessment

Ecological Momentary Assessment (EMA) is a way of collecting data in people’s natural environments in real time and has become very popular in social and health sciences. The emergence of personal digital assistants has led to more complex and sophisticated EMA protocols but has also highlighted some important drawbacks. Modern cell phones combine the functionalities of advanced communication systems with those of a handheld computer and offer various additional features to capture and record sound, pictures, locations, and movements. Moreover, most people own a cell phone, are familiar with the different functions, and always carry it with them. This paper describes ways in which cell phones have been used for data collection purposes in the field of social sciences. This includes automated data capture techniques, for example, geolocation for the study of mobility patterns and the use of external sensors for remote health-monitoring research. The paper also describes cell phones as efficient and user-friendly tools for prompt manual data collection, that is, by asking participants to produce or to provide data. This can either be done by means of dedicated applications or by simply using the web browser. We conclude that cell phones offer a variety of advantages and have a great deal of potential for innovative research designs, suggesting they will be among the standard data collection devices for EMA in the coming years.

Data base or data bias?

1990 ◽  
Vol 45 (5) ◽  
pp. 676-676 ◽  
Author(s):  
Douglas E. Mould
Keyword(s):  
Data Base
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