Search

Your search keyword '"Hou, Jun-Ming"' showing total 26 results
Start Over Author "Hou, Jun-Ming"
26 results on '"Hou, Jun-Ming"'

10. Modeling of collaborative design based on Colored Petri nets

Author

Hou Jun-Ming, Tang Liang, Su Chong, and Wang Wanshan

Subjects
Collaborative software, Process modeling, business.industry, Process (engineering), Computer science, Process architecture, Petri net, Task (project management), Unified Modeling Language, Conflict resolution, Systems engineering, Resource management, business, Software engineering, computer, computer.programming_language
Abstract

This paper is focus on the collaborative design, which is an important process to enterprise. In a manufacture system, a good method can be captured to model the process of collaborative design. But the present process modeling techniques are not sufficient to model the process, which is are IDEF, UML and ARIS. Colored Petri nets is proposed to model the whole process of the collaborative design. The process of collaborative design is a dynamic process and the colored Petri nets can describe the process. The allocation of task, the conflict resolution and other processes are all expressed in the model. The result suggests that the model is suit to express the process of design and it is good to know the whole process of collaborative design. By doing it, the system can be realized successfully.

Published
2008

26. Possible prognostic significance of p53, cyclin D1 and Ki-67 in the second primary malignancy of patients with double primary malignancies.

Author

Dong M, Wei H, Hou JM, Gao S, Yang DZ, Lin ZH, Jia Y, Ren XP, and Gao MH

Subjects
Adult, Aged, Biomarkers, Tumor analysis, Female, Humans, Immunohistochemistry, Kaplan-Meier Estimate, Male, Middle Aged, Neoplasms, Second Primary metabolism, Neoplasms, Second Primary mortality, Prognosis, Cyclin D1 biosynthesis, Ki-67 Antigen biosynthesis, Neoplasms, Second Primary pathology, Tumor Suppressor Protein p53 biosynthesis
Abstract

Patients with two types of primary cancers are rare. In this study, we investigated the expression of p53, cyclin D1, and Ki-67 in the second primary malignancy. Tissue samples were obtained from the second primary cancer site of 43 patients who met the diagnostic criteria for double primary cancer. p53, cyclin D1 and Ki-67 were determined using immunohistochemistry. Categorical variables were compared using the Chi-squared test; correlation between data scores and histology was calculated using the Spearman's rank-order correlation. The expression rates of p53, cyclin D1 and Ki-67 in the second primary malignancy site were 60.5%, 30.2% and 65.1% respectively. p53 expression showed statistically significant association with tumor occurrence interval, pathological grading and nodal metastasis (p < 0.05). Positive correlation was detected between the expression of cyclin D1 and Ki-67 and the expression of p53 (r = 0.313, p = 0.041; r = 0.319, p = 0.037, respectively). High-expressing p53 or cyclin D second primary malignancies were associated with decreased overall survival (p = 0.040 and p = 0.043, respectively). Ki-67 expression levels did not exhibit statistically significant differences in survival. In conclusion, elevated protein expression of p53, cyclin D1 and Ki-67 in the second primary malignancy is an indicator of more aggressive malignant behavior of the secondary tumor. These markers may have prognostic value in the clinical setting.

Published
2014

Catalog

Books, media, physical & digital resources
See catalog results