![]() ![]() Such variability indicates that expressive writing works better in some contexts than others. This effect size is modest but statistically significant, and it reflects the wide variability in effect sizes across studies. 075 for physical, psychological and overall functioning outcomes. A meta-analysis ( Frattaroli, 2006) identified an overall effect size of. ![]() Since Pennebaker and Beall’s (1986) seminal study demonstrating that expressive writing about a stressful experience improves indicators of physical health, more than 400 studies have tested the effects of expressive writing in different populations, on various outcomes, and under a variety of circumstances. These findings also suggest that expressive writing about a stressful event may be contraindicated for individuals who do not typically express emotions. These findings on anxiety are consistent with the matching hypothesis, which suggests that matching a person’s naturally elected coping approach with an assigned intervention is beneficial. Expressiveness did not predict change in anxiety in the control group. Within the expressive writing group, participants high in expressiveness evidenced a significant reduction in anxiety at three-month follow-up, and participants low in expressiveness showed a significant increase in anxiety. Emotional expressiveness emerged as a significant moderator of anxiety outcomes, however. No significant effects of writing condition were evident on anxiety, depressive symptoms, or physical symptoms. Dependent variables were indicators of anxiety, depression, and physical symptoms. Young adult participants ( N = 116) were randomly assigned to write for 20 minutes on four occasions about deepest thoughts and feelings regarding their most stressful/traumatic event in the past five years (expressive writing) or about a control topic (control). ACM Computing Surveys, 28(4):701-726, 1996.The current study assessed main effects and moderators (including emotional expressiveness, emotional processing and ambivalence over emotional expression) of the effects of expressive writing in a sample of healthy adults. Strategic directions in constraint programming. Computational Optimization and Applications, 3:111-130, 1994. Solving binary cutting stock problems by column generation and branch-and-bound. ACM Computing Surveys, 28(4es):75, December 1996. Exact ground states of two-dimensional ± J ising spin glasses. ![]() A branch and cut algorithm for the resolution of large scale symmetric traveling salesman problems. The Traveling Salesman Problem and its Variations, chapter Polyhedral theory, branch and cut algorithms for the symmetric traveling salesman problem. The LEDA Platform for Combinatorial and Geometric Computing. LEDA (Library of Efficient Data Types and Algorithms).PhD thesis, Fachbereich Informatik, Universität des Saarlandes, 1998. A Unifying Logical Framework for Integer Linear Programming and Finite Domain Constraint Programming. The abacus system for branch and cut and price algorithms in integer programming and combinatorial optimization. A cutting plane algorithm for the linear ordering problem. Duxbury Press/Wadsworth Publishing, 1992. AMPL: A modeling language for Mathematical Programming. Computational Combinatorial Optimization, volume 2241 of Lecture Notes in Computer Science, chapter Branch-and-cut algorithms for combinatorial optimization and their implementation in ABACUS, pages 157-222. In Fifth Generation Computer Systems, Tokyo, 1988. The constraint logic programming language CHIP. Solution of a large scale traveling salesman problem. XPRESS 12 Reference Manual: XPRESS-MP Optimizer Subroutine Library XOSL, 2000. Gams: General algebraic modeling system, 2002. Annotated bibliographies in combinatorial optimization, chapter Branch-and-cut algorithms, pages 45-64. ![]() Branch and infer: a unifying framework for integer and finite domain constraint programming. Branch-and-price: column generation for solving huge integer programs. The precedence constrained asymmetric traveling salesman polytope. Traveling salesman-based curve reconstruction in polynomial time. In Proceedings of the 4th Annual International Conference on Computational Molecular Biology (RECOMB-00). A combinatorial approach to protein docking with flexible side-chains. Computational Optimization and Applications, 17(1):61-84, 2000. A branch & cut algorithm for the asymmetric traveling salesman problem with precedence constraints. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |