Some Ways to Modeling Input Data for Information Search in the Library of Standards when Solving Semantics Problems

Nadezhda K. Tymofijeva

doi:10.1615/jautomatinfscien.v52.i12.40

Some Ways to Modeling Input Data for Information Search in the Library of Standards when Solving Semantics Problems

Journal of Automation and Information Sciences ◽

10.1615/jautomatinfscien.v52.i12.40 ◽

2020 ◽

Vol 52 (12) ◽

pp. 39-51

Author(s):

Nadezhda K. Tymofijeva

Keyword(s):

Information Search ◽

Input Data

Download Full-text

Transmission Electron Diffraction Analysis by Computer

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100067194 ◽

1970 ◽

Vol 28 ◽

pp. 40-41

Author(s):

R.A. Ploc ◽

G.H. Keech

Keyword(s):

Electron Diffraction ◽

Input Data ◽

Reciprocal Lattice ◽

Computer Programme ◽

Transmission Electron Diffraction ◽

Usual Procedure ◽

Transmission Electron ◽

Complex Shapes ◽

Computer Input ◽

Diffraction Effects

An unambiguous analysis of transmission electron diffraction effects requires two samplings of the reciprocal lattice (RL). However, extracting definitive information from the patterns is difficult even for a general orthorhombic case. The usual procedure has been to deduce the approximate variables controlling the formation of the patterns from qualitative observations. Our present purpose is to illustrate two applications of a computer programme written for the analysis of transmission, selected area diffraction (SAD) patterns; the studies of RL spot shapes and epitaxy.When a specimen contains fine structure the RL spots become complex shapes with extensions in one or more directions. If the number and directions of these extensions can be estimated from an SAD pattern the exact spot shape can be determined by a series of refinements of the computer input data.

Download Full-text

Process Accountability as a De-Escalation Technique

Journal of Personnel Psychology ◽

10.1027/1866-5888/a000245 ◽

2020 ◽

Vol 19 (2) ◽

pp. 63-74

Author(s):

Klaus Moser ◽

Hans-Georg Wolff ◽

Roman Soucek

Keyword(s):

Cognitive Processes ◽

Information Search ◽

Employment Relationship ◽

Escalation Of Commitment ◽

Tunnel Vision ◽

Course Of Action ◽

Performance Problems ◽

Over Time ◽

Biased Information

Abstract. Escalation of commitment occurs when a course of action is continued despite repeated drawbacks (e.g., maintaining an employment relationship despite severe performance problems). We analyze process accountability (PA) as a de-escalation technique that helps to discontinue a failing course of action and show how time moderates both the behavioral and cognitive processes involved: (1) Because sound decisions should be based on (hopefully unbiased) information search, which requires time to gather, the effect of PA on de-escalation increases over time. (2) Because continuing information search creates behavioral commitment, the debiasing effect of PA on information search diminishes over time. (3) Consistent with the tunnel vision notion, the effects of less biased information search on de-escalation decrease over time.

Download Full-text