Streamlining apartment provider evaluation: A spherical fuzzy multi-criteria decision-making model.

In the context of the thriving real estate market in developing countries like Vietnam, understanding consumer preferences and effectively addressing them through a comprehensive multi-criteria decision-making (MCDM) framework is paramount for real estate providers. This study presents a two-stage MCDM model that integrates the Delphi technique and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) based on Spherical Fuzzy Sets (SFSs). Initially, the SF-Delphi technique validates critical criteria influencing customers' apartment selection in Vietnam. Secondly, the SF-TOPSIS method evaluates the top ten apartment providers. To ensure robustness and validity, a comparative analysis compares the results with those from the Intuitionistic Fuzzy TOPSIS (IF-TOPSIS) and Fuzzy TOPSIS (F-TOPSIS) methods. Subsequently, five rank correlation coefficients (Spearman, Kendall, Goodman-Kruskal, Weighted rank measure of correlation, Weighted Similarity) are used to assess the relationships between various TOPSIS techniques applied to apartment suppliers in Vietnam. The correlation coefficients demonstrate strong agreement among the TOPSIS methods, with the smallest coefficient being 0.7778, surpassing the threshold of 0.7. This high level of consistency confirms the efficacy of the proposed TOPSIS approach with different Fuzzy Sets in reliably evaluating customers' preferences for apartment suppliers. Notably, the legal aspect's prominence underscores its critical role in shaping customer choices, emphasizing the significance of considering legal factors in the context of apartment supply and demand in Vietnam. Furthermore, using SFSs makes this approach particularly suited to capture consumer perceptions within the dynamic and uncertain business environment characterized by volatility, uncertainty, complexity, and ambiguity (VUCA).

Dual roles of oxostephanine as an Aurora kinase inhibitor and angiogenesis suppressor.

The Aurora kinases, including Aurora A, B and C, play critical roles in cell division. They have been found overexpressed in a number of types of cancer and may thus be potential targets in cancer therapy. Several Aurora kinase inhibitors have been identified and developed. Some of these have been used in clinical trials and have exhibited certain efficacy in cancer treatment. However, none of these has yet been applied clinically due to the poor outcomes. Oxostephanine is an aporphine alkaloid isolated from several plants of the genus Stephania. This compound has been reported to inhibit Aurora kinase activity in kinase assays and in cancer cells. The present study aimed to investigate the real­time effects of oxostephanine extracted from Stephania dielsiana Y.C. Wu leaves on the growth of an ovarian cancer cell line (OVCAR­8, human ovarian carcinoma); these effects were compared to those of the well­known Aurora kinase inhibitor, VX­680. The effects of oxostephanine on stromal cells, as well as endothelial cells were also examined. The results demonstrated that oxostephanine was an Aurora kinase inhibitor through the prevention of histone H3 phosphorylation at serine 10, the mislocalization of Aurora B and the induction of aneuploidy. Moreover, this substance was selectively cytotoxic to human umbilical vein endothelial cells (hUVECs), whereas it was less cytotoxic to human fibroblasts and umbilical cord­derived mesenchymal stem cells. In addition, this compound significantly attenuated the migration and tube formation ability of hUVECs. Taken together, the present study demonstrates that oxostephanine plays dual roles in inhibiting Aurora kinase activity and angiogenesis. Thus, it may have potential for use as a drug in cancer treatment.