Chaozhe Jiang
University of Waterloo, Canada, Civil and Environmental Engineering, Graduate Student
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This paper gives a new improved model in decision-making based on rough sets theory and hierarchical cluster analysis. In the view of the phenomenon that people can only obtain the information table but can't get the decision table... more
This paper gives a new improved model in decision-making based on rough sets theory and hierarchical cluster analysis. In the view of the phenomenon that people can only obtain the information table but can't get the decision table when dealing with problems in practical applications, we use the hierarchical cluster analysis as a tool to improve the traditional rough sets theory and construct the equivalence relation to expand the information table into decision table. Then we do the empirical study, which can validate the rationality and validity of our method.
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Immunohistochemistry (IHC) is one of the most important adjunctive techniques in surgical pathology. Quality controls are essential for staining interpretation. The most common controls are cut from the formalin-fixed, paraffin-embedded... more
Immunohistochemistry (IHC) is one of the most important adjunctive techniques in surgical pathology. Quality controls are essential for staining interpretation. The most common controls are cut from the formalin-fixed, paraffin-embedded tissue blocks in advance. In contrast, we developed paraffin-embedded tissue fragment suspension (PETFS), a novel method in liquid form, for quality control preparation. The liquid form controls were cut from the donor formalin-fixed, paraffin-embedded paraffin blocks, stored in the 4°C fridge easily, and added to the top and bottom of the test slide directly by pipetting. The tissue fragments from the PETFS had a comparable IHC staining pattern to that of the control sections from the original donor blocks. Over a 180-day testing period, the IHC staining pattern and intensity remained strong and specific. The clinical value of PETFS method was further validated by their successful application as controls for the expression of estrogen receptor, prog...
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The decrease of microRNA-452 (miR-452) in gliomas promoted stem-like features and tumorigenesis. However, the role of miR-452, especially in regulating cancer stem cells (CSCs) in hepatocellular carcinoma (HCC) remains ambiguous. We... more
The decrease of microRNA-452 (miR-452) in gliomas promoted stem-like features and tumorigenesis. However, the role of miR-452, especially in regulating cancer stem cells (CSCs) in hepatocellular carcinoma (HCC) remains ambiguous. We enriched stem-like HCC cells by serial passages of hepatospheres with chemotherapeutic agents. Stem-like characteristics including the capabilities of chemo-resistance, stemness-related gene expression profiling, self-renewal, tumorigenicity and metastasis formation were detected. MiR-452 was markedly increased in the chemo-resistant hepatospheres and human HCC tissues. and the overexpression of miR-452 in HCC patients predicted poor overall survival. MiR-452 significantly promoted stem-like characteristics in vitro and in vivo. Further, Sox7 was identified as the direct target of miR-452, which could physically bind with β-catenin and TCF4 in the nucleus and then inhibit the activity of Wnt/β-catenin signaling pathway. Finally, the combined chemothreapy...
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ABSTRACT
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ABSTRACT The basic concepts of the rough set theory (RST) are introduced. An example of the rough set theory application to the chemical solvents selection problem (CSSP) is presented. Through the RST, we get a good multi-attributes... more
ABSTRACT The basic concepts of the rough set theory (RST) are introduced. An example of the rough set theory application to the chemical solvents selection problem (CSSP) is presented. Through the RST, we get a good multi-attributes decision-making effect in the chemical solvents selection. This work demonstrates how the use of RST in chemical process development by allowing efficient and reliable improvement of a given synthetic step. And other numerous earlier applications of rough set theory to the various scientific domains suggest that it also can be a useful tool for the analysis of inexact, uncertain, or vague chemical data.
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ABSTRACT
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ABSTRACT
