Predicting behavior of contaminants in aquifers using apparent relative retardation of surrogates

1993 ◽  
Vol 22 (3) ◽  
pp. 201-204 ◽  
Author(s):  
D. I. Leap
Keyword(s):  
Predicting Behavior ◽  
Relative Retardation

Indirect Assessment of Attitudes with Response-Time-Based Measures

2006 ◽  
Vol 37 (3) ◽  
pp. 131-139 ◽  
Author(s):  
Juliane Degner ◽  
Dirk Wentura ◽  
Klaus Rothermund
Keyword(s):  
Social Cognitive ◽  
Incremental Validity ◽  
Self Report ◽  
Small Scale ◽  
Implicit Measures ◽  
Scale Theory ◽  
Starting Point ◽  
Self Reports ◽  
Predicting Behavior ◽  
Social Cognitive Theories

Abstract: We review research on response-latency based (“implicit”) measures of attitudes by examining what hopes and intentions researchers have associated with their usage. We identified the hopes of (1) gaining better measures of interindividual differences in attitudes as compared to self-report measures (quality hope); (2) better predicting behavior, or predicting other behaviors, as compared to self-reports (incremental validity hope); (3) linking social-cognitive theories more adequately to empirical research (theory-link hope). We argue that the third hope should be the starting point for using these measures. Any attempt to improve these measures should include the search for a small-scale theory that adequately explains the basic effects found with such a measure. To date, small-scale theories for different measures are not equally well developed.

THE RESPONSE OF STRUCTURES TO FIRE -- ADVANCES AND CHALLENGES IN PREDICTING BEHAVIOR

Equipment ◽  
2006 ◽  
Author(s):  
William L. Grosshandler
Keyword(s):  
Predicting Behavior

Validation of an attitude scale as a device for predicting behavior.

1956 ◽  
Vol 40 (5) ◽  
pp. 347-349 ◽  
Author(s):  
Peter A. Holman
Keyword(s):  
Attitude Scale ◽  
Predicting Behavior

The effect of plane of nutrition on the carcasses of pigs and lambs when variations in fat content are excluded

1964 ◽  
Vol 6 (2) ◽  
pp. 141-154 ◽  
Author(s):  
F. W. H. Elsley ◽  
I. McDonald ◽  
V. R. Fowler
Keyword(s):  
Head And Neck ◽  
Fat Content ◽  
Fat Deposition ◽  
Total Weight ◽  
Review Of The Literature ◽  
Growth Data ◽  
Relative Retardation ◽  
Numerical Expression

1. From a review of the literature it has been shown that there are two opposing views regarding the best method of interpreting growth data, which arise from conflicting opinions as to the role of fat deposition in the growth of the animal.2. Data of McMeekan and Palsson and Verges have been re-analysed and their own results are compared with results obtained when the effects of variation in fat content are eliminated.3. No evidence has been found of any effect of plane of nutrition on the total weights of bone and muscle relative to the weight of bone plus muscle together.4. The weight of bone plus muscle in the head and neck was increased relative to the total weight of bone plus muscle during periods of restricted nutrition. Apart from this there was no clear evidence of a relationship between the order of maturity of the joints and their relative retardation of development.5. Huxley's allometry equation was found appropriate for standardising the measurements, and the exponent was taken as a numerical expression of the relative maturity of each tissue or part.

scholarly journals On the dispersion of artificial double refraction

1907 ◽  
Vol 79 (529) ◽  
pp. 200-202
Keyword(s):  
Wave Front ◽  
Optic Axis ◽  
Refractive Indices ◽  
Principal Stresses ◽  
Double Refraction ◽  
Optical Coefficient ◽  
Relative Retardation

1. It is well known that glass compressed unequally in different directions behaves like a crystal whose optic axis is along the line of stress. If T 1 , T 2 are the principal stresses in the wave front, μ 1 , μ 2 the refractive indices of the two rays for which the directions of vibration are along T 1 , T 2 respectively, then the relative retardation of the two oppositely polarised rays is R = ( μ 1 — μ 2 ) τ = C (T 1 — T 2 ) τ , where τ is the thickness of glass traversed. C may be called the “stress-optical coefficient ” of the glass. It differs for different glasses and in the same glass for different colours, but it is usually assumed independent of the value of the stress.

Predicting behavior on a computer from intentions, attitudes, and experience

1990 ◽  
Vol 9 (1) ◽  
pp. 75-83 ◽  
Author(s):  
Meni Koslowsky ◽  
Michael Hoffman ◽  
Aryeh Lazar
Keyword(s):  
Predicting Behavior

Socially-Competent Computing Implementing Social Sensor Design

2012 ◽  
Vol 7 (3) ◽  
pp. 61-70 ◽  
Author(s):  
Maya Dimitrova
Keyword(s):  
Communication Networks ◽  
Real Data ◽  
Sensor Design ◽  
Dynamic Interactions ◽  
Medical Interventions ◽  
Human Interactions ◽  
Proposed Model ◽  
Predicting Behavior ◽  
Level Of Understanding ◽  
Social Sensor

The paper presents a conceptual model for social sensor design in socially-competent computing systems. The model is based on theories of social behavior being driven by the underlying attitudes, rather than on models predicting behavior in response to behavior representing people as physical objects in dynamic interactions. It is proposed to increase the ability of the systems to extract relevant features and to achieve better social competence, similar to the kind that is underlying human interactions by implementing algorithms, capable of predicting behavior in response to attitude. The paper presents an account of the social level of understanding human interactions in the context of three application scenarios – multi-hop communication networks, embedded systems for support of medical interventions and information systems supporting educational activities. Patterns of real data are discussed in terms of the proposed model of social sensor design for enhanced socially-competent computing.

Sign in / Sign up

Export Citation Format

Share Document