A Process-Oriented Analysis of the Three-Phase Method: A Therapeutic Couple Intervention Strengthening Dyadic Coping

In this paper, combined the micromechanical and the thermodynamic theory, a three phase model for the SMA composite is developed, in which the composite is considered as the austenitic phase, the product phase (martensite) and the matrix phase. In the present model, the interaction among the three phases is analyzed. From the micromechanical analysis, the macroscopic free energy function is found. Then macroscopic transformation strain, effective elastic compliance, macroscopic constitutive model are derived.Compared with the traditional two-phase method, non-linearity of SMA need not be considered. The method is not only simply but also the interaction among the three phases is considered. As an application of above model, we consider the case of a composite with NiTi/epoxy, illustrate the predicted stress-strain response of it under isothermal loading and unloading conditions and analyses the effects of temperature and fiber volume on macroscopic mechanical property. By comparing with references, it is shown that the results are credible. It is helpful to design the intelligent composite.

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A three-phase method for patent classification

Information Processing & Management ◽

10.1016/j.ipm.2011.11.001 ◽

2012 ◽

Vol 48 (6) ◽

pp. 1017-1030 ◽

Cited By ~ 24

Author(s):

Yen-Liang Chen ◽

Yuan-Che Chang

Keyword(s):

Phase Method ◽

Patent Classification ◽

Three Phase

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The three-phase method: A unified approach to orthogonal graph drawing

Graph Drawing - Lecture Notes in Computer Science ◽

10.1007/3-540-63938-1_84 ◽

1997 ◽

pp. 391-402 ◽

Cited By ~ 19

Author(s):

Therese C. Biedl ◽

Brendan P. Madden ◽

Ioannis G. Tollis

Keyword(s):

Graph Drawing ◽

Phase Method ◽

Unified Approach ◽

Three Phase

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3-Phase Method of Dyadic Coping

Techniques for the Couple Therapist ◽

10.4324/9781315747330-49 ◽

2016 ◽

pp. 231-236

Author(s):

Guy Bodenmann ◽

Anne Milek

Keyword(s):

Dyadic Coping ◽

Phase Method

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Examining Sense of Community in Sport: Developing the Multidimensional ‘SCS’ Scale

Journal of Sport Management ◽

10.1123/jsm.27.5.349 ◽

2013 ◽

Vol 27 (5) ◽

pp. 349-362 ◽

Cited By ~ 23

Author(s):

Stacy Warner ◽

Shannon Kerwin ◽

Matthew Walker

Keyword(s):

Sense Of Community ◽

Common Interest ◽

Measurement Scale ◽

Phase Method ◽

Grounded Theory Research ◽

Three Phase ◽

The Social ◽

Community Theory ◽

Theory Research ◽

Measure Sense

As scholars conduct more research on the social benefits of community sport, the need for an instrument to measure sense of community is increasingly necessary. Utilizing previous grounded theory research specific to sport and community building, the purpose of this study was to test previous sport and sense of community theory through the creation and validation of a measurement scale to gauge sense of community. The authors tested a 21-item tool comprised of 6-subscales (i.e., Administrative Consideration, Common Interest, Competition, Equity in Administrative Decisions, Leadership, and Social Spaces) among samples of young sport participants using the three-phase method of item generation, confirmatory analyses, and concurrent validation. The resulting analyses yielded a valid and reliable instrument to measure sense of community in sport. This research suggests refinement to previous sport and sense of community theory and provides needed utility for this theory that has been grounded in the sport experience.

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Detection of Gene Interactions Based on Syntactic Relations

Journal of Biomedicine and Biotechnology ◽

10.1155/2008/371710 ◽

2008 ◽

Vol 2008 ◽

pp. 1-9 ◽

Cited By ~ 1

Author(s):

Mi-Young Kim

Keyword(s):

Language Processing ◽

Training Dataset ◽

Phase Method ◽

Gene Interactions ◽

Second Phase ◽

Good Precision ◽

Linguistic Information ◽

Three Phase ◽

Syntactic Relations ◽

Learning Language

Interactions between proteins and genes are considered essential in the description of biomolecular phenomena, and networks of interactions are applied in a system's biology approach. Recently, many studies have sought to extract information from biomolecular text using natural language processing technology. Previous studies have asserted that linguistic information is useful for improving the detection of gene interactions. In particular, syntactic relations among linguistic information are good for detecting gene interactions. However, previous systems give a reasonably good precision but poor recall. To improve recall without sacrificing precision, this paper proposes a three-phase method for detecting gene interactions based on syntactic relations. In the first phase, we retrieve syntactic encapsulation categories for each candidate agent and target. In the second phase, we construct a verb list that indicates the nature of the interaction between pairs of genes. In the last phase, we determine direction rules to detect which of two genes is the agent or target. Even without biomolecular knowledge, our method performs reasonably well using a small training dataset. While the first phase contributes to improve recall, the second and third phases contribute to improve precision. In the experimental results using ICML 05 Workshop on Learning Language in Logic (LLL05) data, our proposed method gave an F-measure of 67.2% for the test data, significantly outperforming previous methods. We also describe the contribution of each phase to the performance.

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