a b s t r a c tSince accurate forecasting of tourist arrivals is very important for planning for potential tourism demand and improving the tourism infrastructure, various tourist arrivals forecasting methods have been developed. The purpose of this study is to apply the adaptive network-based fuzzy inference system (ANFIS) model to forecast the tourist arrivals to Taiwan and demonstrate the forecasting performance of this model. Based on the mean absolute percentage errors and statistical results, we can see that the ANFIS model has better forecasting performance than the fuzzy time series model, grey forecasting model and Markov residual modified model. Thus, the ANFIS model is a promising alternative for forecasting the tourist arrivals. We also use the ANFIS model to forecast the monthly tourist arrivals to Taiwan from Japan, Hong Kong and Macao, and the United States.
Purpose: Our objective was to investigate the effect of circSMARCC1 on the developmental and biological behavior of colorectal cancer (CRC). Materials and Methods: The expression of circSAMRCC1 and miR-140-3p in CRC tissues and cell lines (SW620, HCT116, HT29 and SW480) and a normal cell line (NCM460) was detected using qRT-PCR. The expression levels of circSMARCC1 and its linear subtype were detected. Fluorescence in situ hybridization was performed for the evaluation of the localization of circSAMRCC1 and miR-140-3p in the SW620 cell line. The effects of circSAMRCC1 and miR-140-3p on cell proliferation were investigated using CCK8 and colony formation assays, respectively. The effects of circSAMRCC1 and miR-140-3p on cell migration and invasion were determined using Transwell assay. The binding relationship between circSMARCC1 and miR-140-3p was further assessed by bioinformatics, ChIRP analysis and double luciferase reporter assay. Results: The expression of circSAMRCC1 in the CRC tissues and four cell lines is significantly increased, and circSMARCC1 and miR-140-3p are negatively correlated with expression level in the tissue. The downregulation of circSMARCC1 decreased CRC cell viability and suppressed metastasis in vitro and Inhibition of protein (MMP-2, MMP-9, VEGF) expression. miR-140-3p is downregulated in CRC tissues; miR-140-3p mimics inhibited SW620 cell viability, migration and invasion, and miR-140-3p inhibitors reversed the the effect of circSMARCC1 downregulation on cell proliferation, migration and invasion in CRC cells. Conclusion: circSMARCC1 competitively combined with miR-140-3p and functioned through a circSMARCC1/miR-140-3p/MMPs axis as a CRC carcinogen, demonstrating its potential as a biomarker for CRC treatment.
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