The Information Content of Corporate Pension Funding Status in Japan

2016 ◽  
Vol 43 (7-8) ◽  
pp. 903-949 ◽  
Author(s):  
Shingo Goto ◽  
Noriyoshi Yanase
Keyword(s):  
Information Content ◽  
Pension Funding ◽  
Corporate Pension

Determinants of corporate pension funding strategy

1987 ◽  
Vol 9 (1) ◽  
pp. 35-59 ◽  
Author(s):  
Jere R. Francis ◽  
Sara Ann Reiter
Keyword(s):  
Pension Funding ◽  
Corporate Pension

Corporate pension funding policy

1976 ◽  
Vol 3 (3) ◽  
pp. 183-193 ◽  
Author(s):  
William F. Sharpe
Keyword(s):  
Funding Policy ◽  
Pension Funding ◽  
Corporate Pension

Managerial Self-Interest, Pension Financial Slack and Corporate Pension Funding

1996 ◽  
Vol 31 (4) ◽  
pp. 695-720 ◽  
Author(s):  
Sudip Datta ◽  
Mai E. Iskandar-Datta ◽  
Edward J. Zychowicz
Keyword(s):  
Pension Funding ◽  
Financial Slack ◽  
Self Interest ◽  
Corporate Pension

Applications of Scanning Microscopy in Biomedical Research

1968 ◽  
Vol 26 ◽  
pp. 354-355
Author(s):  
T. L. Hayes
Keyword(s):  
Information Content ◽  
Biomedical Research ◽  
Biomedical Applications ◽  
Three Dimensional ◽  
Dental Enamel ◽  
Resolving Power ◽  
Whole Mount ◽  
Two Parameters ◽  
Content Information ◽  
Sectioned Tissue

Biomedical applications of the scanning electron microscope (SEM) have increased in number quite rapidly over the last several years. Studies have been made of cells, whole mount tissue, sectioned tissue, particles, human chromosomes, microorganisms, dental enamel and skeletal material. Many of the advantages of using this instrument for such investigations come from its ability to produce images that are high in information content. Information about the chemical make-up of the specimen, its electrical properties and its three dimensional architecture all may be represented in such images. Since the biological system is distinctive in its chemistry and often spatially scaled to the resolving power of the SEM, these images are particularly useful in biomedical research.In any form of microscopy there are two parameters that together determine the usefulness of the image. One parameter is the size of the volume being studied or resolving power of the instrument and the other is the amount of information about this volume that is displayed in the image. Both parameters are important in describing the performance of a microscope. The light microscope image, for example, is rich in information content (chemical, spatial, living specimen, etc.) but is very limited in resolving power.

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