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Journal articles on the topic 'Tripartite model of atitudes'

Author: Grafiati

Published: 7 September 2021

Last updated: 12 February 2022

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1

Jefferson, A. D. "Tripartite Cohesive Crack Model." Journal of Engineering Mechanics 128, no. 6 (2002): 644–53. http://dx.doi.org/10.1061/(asce)0733-9399(2002)128:6(644).

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2

Slezak, Peter. "The tripartite model of representation." Philosophical Psychology 15, no. 3 (2002): 239–70. http://dx.doi.org/10.1080/0951508021000006085.

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3

Andiappan, Meena, and Lucas Dufour. "Jealousy at Work: A Tripartite Model." Academy of Management Review 45, no. 1 (2020): 205–29. http://dx.doi.org/10.5465/amr.2016.0299.

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4

Grunig, Larissa A. "Public relations research: a tripartite model." Corporate Communications: An International Journal 5, no. 2 (2000): 75–80. http://dx.doi.org/10.1108/13563280010372504.

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5

Henry, Kelly Bouas, Holly Arrow, and Barbara Carini. "A Tripartite Model of Group Identification." Small Group Research 30, no. 5 (1999): 558–81. http://dx.doi.org/10.1177/104649649903000504.

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6

Danjo, Rie, Fumiko Kawasaki, and Richard W. Ordway. "A Tripartite Synapse Model in Drosophila." PLoS ONE 6, no. 2 (2011): e17131. http://dx.doi.org/10.1371/journal.pone.0017131.

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7

Zolfagharian, Mohammad Ali, and Iryna Pentina. "The tripartite model of responsible consumption." Social Business 1, no. 2 (2011): 149–72. http://dx.doi.org/10.1362/204440811x593054.

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8

Bonnici, Joseph L. "A Tripartite Model of the Pharmacist's Commitment." Journal of Pharmaceutical Marketing & Management 5, no. 3 (1991): 51–63. http://dx.doi.org/10.3109/j058v05n03_05.

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9

Bonnici, Joseph. "A Tripartite Model of the Pharmacist's Commitment." Journal of Pharmaceutical Marketing & Management 5, no. 3 (1991): 51–63. http://dx.doi.org/10.1300/j058v05n03_05.

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10

Carbonneau, Noémie, Robert J. Vallerand, and Marc-André K. Lafrenière. "Toward a Tripartite Model of Intrinsic Motivation." Journal of Personality 80, no. 5 (2012): 1147–78. http://dx.doi.org/10.1111/j.1467-6494.2011.00757.x.

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11

Joyia, Wajid, and Khalid Khan. "Dzyaloshinskii–Moriya interaction and anisotropy effects on the tripartite quantum discord of Heisenberg XY model." International Journal of Quantum Information 15, no. 03 (2017): 1750021. http://dx.doi.org/10.1142/s0219749917500216.

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In this paper, we address the tripartite quantum discord for the Heisenberg XY chain with the Dzyaloshinskii–Moriya (DM) interaction using the quantum renormalization-group (QRG) method. In thermodynamic limit, like the entanglement, the tripartite discord exhibits the quantum phase transition (QPT) between the spin-fluid and the Neel phases. The effect of the DM interaction and the anisotropy on the features of the tripartite quantum discord has been probed. It is noted that the DM interaction brings the critical point earlier and affects heavily with the size of the system. Moreover, the system requires a larger number of the iterations to achieve the QPT for the tripartite quantum discord as compared to the entanglement.

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12

Sajedinia, Zahra, and Sébastien Hélie. "A New Computational Model for Astrocytes and Their Role in Biologically Realistic Neural Networks." Computational Intelligence and Neuroscience 2018 (July 5, 2018): 1–10. http://dx.doi.org/10.1155/2018/3689487.

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Recent studies in neuroscience show that astrocytes alongside neurons participate in modulating synapses. It led to the new concept of “tripartite synapse”, which means that a synapse consists of three parts: presynaptic neuron, postsynaptic neuron, and neighboring astrocytes. However, it is still unclear what role is played by the astrocytes in the tripartite synapse. Detailed biocomputational modeling may help generate testable hypotheses. In this article, we aim to study the role of astrocytes in synaptic plasticity by exploring whether tripartite synapses are capable of improving the performance of a neural network. To achieve this goal, we developed a computational model of astrocytes based on the Izhikevich simple model of neurons. Next, two neural networks were implemented. The first network was only composed of neurons and had standard bipartite synapses. The second network included both neurons and astrocytes and had tripartite synapses. We used reinforcement learning and tested the networks on categorizing random stimuli. The results show that tripartite synapses are able to improve the performance of a neural network and lead to higher accuracy in a classification task. However, the bipartite network was more robust to noise. This research provides computational evidence to begin elucidating the possible beneficial role of astrocytes in synaptic plasticity and performance of a neural network.

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13

Schultz, Jared C. "The Tripartite Model of Supervision for Rehabilitation Counselors." Journal of Applied Rehabilitation Counseling 39, no. 1 (2008): 36–41. http://dx.doi.org/10.1891/0047-2220.39.1.36.

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Supervisors working in rehabilitation agencies are faced with the complex task of attending to the needs of their professional staff, and meeting the needs of their organization. This article introduces the Tripartite Model of Supervision, which delineates the supervisory functions of administrative oversight, professional development, and clinical supervision. The overlap of these functions, including quality assurance, strategic leadership, transformational learning, and the supervisory working alliance are also discussed. It is posited that the implementation of this model will result in a movement to a more supportive and developmentally focused supervisory process within rehabilitation agencies.

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14

Wang, Shensheng, Scott O. Lilienfeld, and Philippe Rochat. "Schadenfreude deconstructed and reconstructed: A tripartite motivational model." New Ideas in Psychology 52 (January 2019): 1–11. http://dx.doi.org/10.1016/j.newideapsych.2018.09.002.

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15

Strupp, Hans H. "The tripartite model and the Consumer Reports study." American Psychologist 51, no. 10 (1996): 1017–24. http://dx.doi.org/10.1037/0003-066x.51.10.1017.

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16

Laha, Pradip, B. Sudarsan, S. Lakshmibala, and V. Balakrishnan. "Entanglement Dynamics in a Model Tripartite Quantum System." International Journal of Theoretical Physics 55, no. 9 (2016): 4044–59. http://dx.doi.org/10.1007/s10773-016-3033-8.

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17

Xu, Zhiqi, Yukun Cheng, and Shuangliang Yao. "Tripartite Evolutionary Game Model for Public Health Emergencies." Discrete Dynamics in Nature and Society 2021 (May 10, 2021): 1–14. http://dx.doi.org/10.1155/2021/6693597.

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Public health emergencies are more related to the safety and health of the public. For the management of the public health emergencies, all parties’ cooperation is the key to preventing and controlling the emergencies. Based on the assumption of bounded rationality, we formulate a tripartite evolutionary game model, involving the local government, the enterprises, and the public, for the public health emergency, e.g., COVID-19. The evolutionary stable strategies under different conditions of the tripartite evolutionary game are explored, and the effect from different factors on the decision-makings of participants for public health emergencies is also analyzed. Numerical analysis results show that formulating reasonable subsidy measures, encouraging the participation of the public, and enforcing the punishment to enterprises for their negative behaviors can prompt three parties to cooperate in fighting against the epidemic. Our work enriches an understanding of the governance for the public health emergency and provides theoretical support for the local government and related participants to make proper decisions in public health emergencies.

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18

Bedford, Alan. "On Clark-Watson's Tripartite Model of Anxiety and Depression." Psychological Reports 80, no. 1 (1997): 125–26. http://dx.doi.org/10.2466/pr0.1997.80.1.125.

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Clark and Watson's tripartite model of anxiety and depression symptoms is reinterpreted using their data. It is suggested that a parsimonious view of the factor loadings is a three-factor structure of “general psychological distress,” “high positive affect,” and “somatic anxiety.”

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19

Wang, Bing. "A Tripartite Model of Curricular Control: A Comparative Study." Curriculum and Teaching 10, no. 1 (1995): 37–45. http://dx.doi.org/10.7459/ct/10.1.05.

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20

Lazanski, Dominique. "Governance in international technical standards-making: a tripartite model." Journal of Cyber Policy 4, no. 3 (2019): 362–79. http://dx.doi.org/10.1080/23738871.2019.1696851.

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21

O’Connor, Moira, Lauren J. Breen, Kaaren J. Watts, Henry James, and Rhys Goodridge. "A Tripartite Model of Community Attitudes to Palliative Care." American Journal of Hospice and Palliative Medicine® 36, no. 10 (2019): 877–84. http://dx.doi.org/10.1177/1049909119858352.

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Background: Despite a growth in palliative care services, access and referral patterns are inconsistent and only a minority of people who would benefit from such care receive it. Use of palliative care is also affected by community attitudes toward palliative care. As such, determining community attitudes toward palliative care is crucial. We also need to determine what predicts attitudes in order to provide appropriate information and education. Objectives: The 2 research questions were: (1) What are community attitudes toward palliative care? and (2) what are the determinants of community attitudes toward palliative care? Design: A tripartite model of attitudes was used, which articulates attitudes as comprising knowledge and experience, emotions, and beliefs. A cross-sectional descriptive survey was used. Participants: A community sample of 180 participants completed the survey. Results: The average attitude and belief responses were very positive, the average emotions responses were somewhat positive. The sample had good knowledge of palliative care. Lowest knowledge scores were reported for the items: “Euthanasia is not part of palliative care,” “Palliative care does not prolong or shorten life,” and “Specialist palliative care is only available in hospitals.” After controlling place of birth and age, it was found that beliefs, emotions, and knowledge each accounted for a significant proportion of unique variance in attitude toward palliative care. Each variable had a positive relationship with attitude. Conclusion: Beliefs, emotions, and knowledge all need to be incorporated into palliative care community education programs.

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22

Hosseini, Elnaz, Siavash Alepasand, and Isaac Rahimian Boogar. "Body Image and Eating Problems: Testing a Tripartite Model." Iranian Journal of Psychiatry and Clinical Psychology 23, no. 2 (2017): 192–207. http://dx.doi.org/10.29252/nirp.ijpcp.23.2.192.

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23

Laha, Pradip, S. Lakshmibala, and V. Balakrishnan. "Recurrence network analysis in a model tripartite quantum system." EPL (Europhysics Letters) 125, no. 6 (2019): 60005. http://dx.doi.org/10.1209/0295-5075/125/60005.

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24

Philipp, Laura M., Christi Washington, Mona Raouf, and Peter J. Norton. "Cross‐Cultural Examination of the Tripartite Model in Adults." Cognitive Behaviour Therapy 37, no. 4 (2008): 221–32. http://dx.doi.org/10.1080/16506070802268175.

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25

Belwalkar, Bharati B., and Jerome J. Tobacyk. "Toward a Tripartite Model and Measurement of Proactive Personality." Journal of Personality Assessment 100, no. 5 (2018): 529–38. http://dx.doi.org/10.1080/00223891.2018.1480488.

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26

Mitterauer, Bernhard J. "Qualitative Information Processing in Tripartite Synapses: A Hypothetical Model." Cognitive Computation 4, no. 2 (2011): 181–94. http://dx.doi.org/10.1007/s12559-011-9115-2.

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27

Lorenzo, Jhunlyn, Roman Vuillaume, Stéphane Binczak, and Sabir Jacquir. "Spatiotemporal model of tripartite synapse with perinodal astrocytic process." Journal of Computational Neuroscience 48, no. 1 (2019): 1–20. http://dx.doi.org/10.1007/s10827-019-00734-4.

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28

Akenroye, Ayobami T., and Corinne A. Keet. "Mentoring into productivity during fellowship: A working tripartite model." Journal of Allergy and Clinical Immunology 147, no. 5 (2021): 1627–28. http://dx.doi.org/10.1016/j.jaci.2021.02.026.

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29

SPENCER, DANIEL. "Social Trinitarianism and the tripartite God." Religious Studies 55, no. 02 (2018): 189–98. http://dx.doi.org/10.1017/s0034412518000525.

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AbstractIn this article, I consider the most prominent contemporary attempts to reconcile Social Trinitarianism (ST) with monotheism, arguing that within ST, only mereological (part/whole) accounts can ultimately preserve monotheism. A corollary of this is that every other condition (or set of conditions) adduced in defense of a monotheistic ST really entails tritheism, that is, until a part/whole condition is deployed. Such models, I contend, fail necessarily insofar as they attempt to solve a puzzle that is wholly quantitative in nature with purely qualitative considerations. I conclude by remarking that the Social Trinity model propounded by William Lane Craig and J. P. Moreland succeeds where the others fail, though this model is itself by no means impervious to weighty objections.

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30

Manlove, Kezia, Christina Aiello, Pratha Sah, Bree Cummins, Peter J. Hudson, and Paul C. Cross. "The ecology of movement and behaviour: a saturated tripartite network for describing animal contacts." Proceedings of the Royal Society B: Biological Sciences 285, no. 1887 (2018): 20180670. http://dx.doi.org/10.1098/rspb.2018.0670.

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Ecologists regularly use animal contact networks to describe interactions underlying pathogen transmission, gene flow, and information transfer. However, empirical descriptions of contact often overlook some features of individual movement, and decisions about what kind of network to use in a particular setting are commonly ad hoc . Here, we relate individual movement trajectories to contact networks through a tripartite network model of individual, space, and time nodes. Most networks used in animal contact studies (e.g. individual association networks, home range overlap networks, and spatial networks) are simplifications of this tripartite model. The tripartite structure can incorporate a broad suite of alternative ecological metrics like home range sizes and patch occupancy patterns into inferences about contact network metrics such as modularity and degree distribution. We demonstrate the model's utility with two simulation studies using alternative forms of ecological data to constrain the tripartite network's structure and inform expectations about the harder-to-measure metrics related to contact.

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31

Camagni, Roberto, and Roberta Capello. "Innovation and Performance of SMEs in Italy: The Relevance of Spatial Aspects." Competition & Change 3, no. 1-2 (1998): 69–106. http://dx.doi.org/10.1177/102452949800300104.

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The tripartite model of an old-industrial northwestern part of the country, of an efficient and dynamic Third Italy, mainly driven by small and medium firms' agglomeration, and a peripheral lagging South still influences the economic debate on regional development: small firms tend to be regarded as the most dynamic industrial organisation, and for this reason, regions with a high proportion of small firms tend to have higher economic growth. The aim of the paper is to present the Italian reality on the basis of some recent data on regional growth and innovation patterns. The results are surprising. Among them, that regional industrial structure in Italy seems to depart from the traditional tripartite model and that they diverge with the traditional tripartite model even in the level of competitiveness of Italian regions.

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32

van den Berg, Patricia, J. Kevin Thompson, Karen Obremski-Brandon, and Michael Coovert. "The Tripartite Influence model of body image and eating disturbance." Journal of Psychosomatic Research 53, no. 5 (2002): 1007–20. http://dx.doi.org/10.1016/s0022-3999(02)00499-3.

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33

MARKEY, CHARLOTTE N. "Culture and the Development of Eating Disorders: A Tripartite Model." Eating Disorders 12, no. 2 (2004): 139–56. http://dx.doi.org/10.1080/10640260490445041.

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34

Bhatia, Avantika, and Charles J. Gelso. "Therapists’ perspective on the therapeutic relationship: Examining a tripartite model." Counselling Psychology Quarterly 31, no. 3 (2017): 271–93. http://dx.doi.org/10.1080/09515070.2017.1302409.

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35

SHEN, CHENGCHENG, and YING LIU. "A TRIPARTITE CLUSTERING ANALYSIS ON MICRORNA, GENE AND DISEASE MODEL." Journal of Bioinformatics and Computational Biology 10, no. 01 (2012): 1240007. http://dx.doi.org/10.1142/s0219720012400070.

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Alteration of gene expression in response to regulatory molecules or mutations could lead to different diseases. MicroRNAs (miRNAs) have been discovered to be involved in regulation of gene expression and a wide variety of diseases. In a tripartite biological network of human miRNAs, their predicted target genes and the diseases caused by altered expressions of these genes, valuable knowledge about the pathogenicity of miRNAs, involved genes and related disease classes can be revealed by co-clustering miRNAs, target genes and diseases simultaneously. Tripartite co-clustering can lead to more informative results than traditional co-clustering with only two kinds of members and pass the hidden relational information along the relation chain by considering multi-type members. Here we report a spectral co-clustering algorithm for k-partite graph to find clusters with heterogeneous members. We use the method to explore the potential relationships among miRNAs, genes and diseases. The clusters obtained from the algorithm have significantly higher density than randomly selected clusters, which means members in the same cluster are more likely to have common connections. Results also show that miRNAs in the same family based on the hairpin sequences tend to belong to the same cluster. We also validate the clustering results by checking the correlation of enriched gene functions and disease classes in the same cluster. Finally, widely studied miR-17-92 and its paralogs are analyzed as a case study to reveal that genes and diseases co-clustered with the miRNAs are in accordance with current research findings.

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36

Huxley, Caroline J., Emma Halliwell, and Victoria Clarke. "An Examination of the Tripartite Influence Model of Body Image." Psychology of Women Quarterly 39, no. 3 (2014): 337–48. http://dx.doi.org/10.1177/0361684314554917.

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37

Xiao, Jing, Tianzhu Kong, Chad M. McWhinnie, et al. "The Tripartite Model for Assessing Symptoms of Depression and Anxiety." Journal of Cardiovascular Nursing 30, no. 6 (2015): 522–28. http://dx.doi.org/10.1097/jcn.0000000000000193.

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38

Nasmyth, K., and R. A. Oliveira. "Splitting the Nucleus: What's Wrong with the Tripartite Ring Model?" Cold Spring Harbor Symposia on Quantitative Biology 75 (January 1, 2010): 375–88. http://dx.doi.org/10.1101/sqb.2010.75.019.

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39

Hood, Kristina B., and Natalie J. Shook. "Conceptualizing Women's Attitudes Toward Condom Use with the Tripartite Model." Women & Health 53, no. 4 (2013): 349–68. http://dx.doi.org/10.1080/03630242.2013.788610.

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40

Acedo, Francisco J., and Juan Florin. "Understanding the risk perception of strategic opportunities: a tripartite model." Strategic Change 16, no. 3 (2007): 97–116. http://dx.doi.org/10.1002/jsc.787.

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41

Hallem, Elissa A., Michelle Rengarajan, Todd A. Ciche, and Paul W. Sternberg. "Nematodes, Bacteria, and Flies: A Tripartite Model for Nematode Parasitism." Current Biology 17, no. 10 (2007): 898–904. http://dx.doi.org/10.1016/j.cub.2007.04.027.

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42

Zheng, Chaoyu, Benhong Peng, XinSheng, Ehsan Elahi, and Anxia Wan. "Strategies of Haze Risk Reduction Using the Tripartite Game Model." Complexity 2020 (September 14, 2020): 1–11. http://dx.doi.org/10.1155/2020/6474363.

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Although haze risk management is mainly under government control, willingness of stakeholders is compulsory to determine. Therefore, this study constructs a tripartite game model of government, public, and enterprises and determines the haze risk evolution model considering the initial willingness of stakeholders. Moreover, numerical simulation analysis was also conducted. The results revealed that stakeholders were affected by the change due to initial willingness to participate in and reach the equilibrium at different speeds. It is found that if subsidy coefficient of the government is big, it will reach equilibrium faster. The bigger the penalty coefficient is, the better the pollution reduction effect of pollutant discharge enterprises. It is found that, at the final equilibrium stage, the government will eventually choose to withdraw from supervision, but the speed of withdrawing varies with different regulatory intentions. Study results stress that the government should actively participate in supervision to reduce environmental pollution.

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43

Jie, Ren, and Zhu Shi-Qun. "Bipartite and Tripartite Entanglement in a Three-Qubit Heisenberg Model." Communications in Theoretical Physics 46, no. 6 (2006): 969–74. http://dx.doi.org/10.1088/0253-6102/46/6/003.

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44

Tylka, Tracy L., and Michael J. Andorka. "Support for an expanded tripartite influence model with gay men." Body Image 9, no. 1 (2012): 57–67. http://dx.doi.org/10.1016/j.bodyim.2011.09.006.

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45

Sun, Pan Jun. "A tripartite game model of trust cooperation in cloud service." Computers & Security 106 (July 2021): 102272. http://dx.doi.org/10.1016/j.cose.2021.102272.

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46

HARRIS, A. W. F., L. WILLIAMS, E. GORDON, H. BAHRAMALI, and S. SLEWA-YOUNAN. "Different psychopathological models and quantified EEG in schizophrenia." Psychological Medicine 29, no. 5 (1999): 1175–81. http://dx.doi.org/10.1017/s0033291799008855.

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Background. This study compared the ability of two different models of psychopathology in schizophrenia to account for findings in the quantified electroencephalogram (qEEG) recorded from midline sites in a group of 40 subjects with schizophrenia. The first model was based on the positive and negative syndrome dichotomy, the second was a tripartite model that resembled Liddle's syndromes of psychomotor poverty, disorganization and reality distortion (Liddle, 1987a).Methods. A group of 40 subjects with predominantly chronic schizophrenia was assessed with the Positive and Negative Syndrome Scale (PANSS) prior to the acquisition of their quantified electroencephalogram. The relationship between EEG data and symptomatology was explored, initially with the PANSS positive and negative subscales and then with a tripartite model derived from a principal component analysis of the 14 positive and negative subscale items.Results. The tripartite syndrome model showed a greater concordance with the qEEG of the subjects than the dichotomous model. ‘Psychomotor poverty’ was significantly positively correlated with both delta and beta power and ‘reality distortion’ was significantly positively correlated with alpha-2 power. No significant correlations between the positive and negative syndrome dichotomy and the qEEG were observed.Conclusions. This study lends support to the factor analysis of psychopathology, and specifically the tripartite syndrome model of schizophrenia, as a step in explicating the biological dimensions of the disorder.

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den Hollander-Gijsman, M. E., E. de Beurs, N. J. A. van der Wee, Y. R. van Rood, and F. G. Zitman. "Distinguishing between depression and anxiety: A proposal for an extension of the tripartite model." European Psychiatry 25, no. 4 (2010): 197–205. http://dx.doi.org/10.1016/j.eurpsy.2009.09.005.

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AbstractAimThe aim of the current study was to develop scales that assess symptoms of depression and anxiety and can adequately differentiate between depression and anxiety disorders, and also can distinguish within anxiety disorders. As point of departure, we used the tripartite model of Clark and Watson that discerns three dimensions: negative affect, positive affect and physiological hyperarousal.MethodsAnalyses were performed on the data of 1449 patients, who completed the Mood and Anxiety Symptoms Questionnaire (MASQ) and the Brief Symptom Inventory (BSI). From this, 1434 patients were assessed with a standardized diagnostic interview.ResultsA model with five dimensions was found: depressed mood, lack of positive affect, somatic arousal, phobic fear and hostility. The scales appear capable to differentiate between patients with a mood and with an anxiety disorder. Within the anxiety disorders, somatic arousal was specific for patients with panic disorder. Phobic fear was associated with panic disorder, simple phobia and social anxiety disorder, but not with generalized anxiety disorder.ConclusionsWe present a five-factor model as an extension of the tripartite model. Through the addition of phobic fear, anxiety is better represented than in the tripartite model. The new scales are capable to accurately differentiate between depression and anxiety disorders, as well as between several anxiety disorders.

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48

Beranek, Ladislav, and Radim Remes. "Distribution of Node Characteristics in Evolving Tripartite Network." Entropy 22, no. 3 (2020): 263. http://dx.doi.org/10.3390/e22030263.

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Many real-world networks have a natural tripartite structure. Investigating the structure and the behavior of actors in these networks is useful to gain a deeper understanding of their behavior and dynamics. In our paper, we describe an evolving tripartite network using a network model with preferential growth mechanisms and different rules for changing the strength of nodes and the weights of edges. We analyze the characteristics of the strength distribution and behavior of selected nodes and selected actors in this tripartite network. The distributions of these analyzed characteristics follow the power-law under different modeled conditions. Performed simulations have confirmed all these results. Despite its simplicity, the model expresses well the basic properties of the modeled network. It can provide further insights into the behavior of systems with more complex behaviors, such as the multi-actor e-commerce system that we have used as a real basis for the validation of our model.

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49

An, Dong, Haodong Li, Ying Xu, and Lixiu Zhang. "Compensation of Hysteresis on Piezoelectric Actuators Based on Tripartite PI Model." Micromachines 9, no. 2 (2018): 44. http://dx.doi.org/10.3390/mi9020044.

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50

Livneh, Hanoch. "The Tripartite Model of Rehabilitation Intervention: Basics, Goals & Rehabilitation Strategies." Journal of Applied Rehabilitation Counseling 26, no. 1 (1995): 25–29. http://dx.doi.org/10.1891/0047-2220.26.1.25.

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This paper discusses the tripartite model of rehabilitation as embedded within the broader model of therapeutic interventions. Rehabilitation, or tertiary intervention, can be viewed as addressing specific goals as they relate to diverse junctional limitations. The three phases, or components, of rehabilitation intervention discussed include: (a) disability minimization in an effort to reduce its impact upon life activities; (b) skill development, as an attempt to compensate for limitations imposed by permanent losses; and (c) environmental manipulation to promote physical and social-attitudinal accessibility. The paper concludes with discussion of the model's applicability to the field of rehabilitation counseling.

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