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Typhoons and their associated disaster chains pose serious threats to the lives and property of coastal residents, and they remain a focal point for research and response. Previous studies on typhoon disaster chains often employed high-dimensional symmetric Copula models to establish the joint distribution of multiple hazard factors, however they failed to explore the complex nonlinear and asymmetric dependencies among them. This study aimed to depict these complex relationships more comprehensively and efficiently to provide a more accurate typhoon hazard assessment. Focusing on Zhoushan, a city comprising numerous islands in Zhejiang Province that faces multiple typhoon threats, this study employed the C-Vine Copula function to model the complex dependencies among "strong wind-rainstorm-storm surge" in the typhoon disaster chain. Utilizing observational data from 1979 to 2018, this study involves three main steps: first, fitting the marginal distribution of each hazard factor and identifying the best one from Lognormal, Gamma, GEV (Generalized Extreme Value), and Burr functions based on the K-S test; second, fitting the bivariate joint distributions of wind speed-rainfall and wind speed-storm surge using Gaussian, Clayton, Gumbel, Frank, and Joe Copula functions, and determining the best fit based on the AIC (Akaike Information Criterion); and finally, estimating the trivariate joint probability distribution and corresponding return periods for wind speed-rainfall-storm surge using the C-Vine Copula function. This revealed (1) a strong correlation between wind speed and rainfall observed within regular value ranges (non-extreme conditions), were best represented by the Frank Copula, In addition, wind speed and storm surge exhibit an upper-tail dependence, best captured by the Gumbel Copula. (2) The rainfall distribution under certain wind speed conditions revealed dual peaks, whereas the storm surge distribution maintained a uniform pattern, with the best joint distribution fitting the Gumbel Copula. (3) Considering a 100-year return period for individual variables, the bivariate return periods for wind speed-rainfall and wind speed-storm surge events were significantly reduced to 29 and 30 years, respectively, while the trivariate return period for the wind speed-rainfall-storm surge combination was further reduced to 17 years. Overall, the C-Vine Copula function effectively characterizes the complex nonlinear and asymmetric dependencies among the typhoon disaster chain "strong wind-rainstorm-storm surge", reducing high-dimensional parameter estimation complexity. This method provides new insights for constructing joint probability and return period models for multiple hazard factors and offers a scientific basis for disaster risk assessment and management strategies. Therefore, this enhances the accuracy of disaster prevention and mitigation efforts. Additionally, the application of the C-Vine Copula assists to deeply understand the mechanisms and development processes of natural disasters, providing new tools for on-site emergency response and decision-making.

In this study, we investigate the crystal structure, surface energy, and atomic arrangement of Cu2O. Understanding these properties is crucial for exploring the potential applications and understanding the behavior of this material. We employ the Wulff construction method and an artificial neural network (ANN) model to analyze the relative surface energies of different crystal facets and predict the surface energy of Cu2O. The ANN model exhibits excellent performance, demonstrating its effectiveness in predicting material properties and providing automated feature-learning and nonlinear-modeling capabilities. Moreover, we analyze the atomic arrangements on various crystal facets and observe the presence of oxygen atoms on the {100} facet, as well as exposed under-coordinated copper atoms on the {111} and {110} facets. High-index facets such as {211} exhibit a higher atomic step density and screw dislocation density. By precisely controlling the synthesis process, it is possible to manipulate the proportion of high-index facets. These findings highlight the significance of understanding the surface energy and atomic arrangement of Cu2O crystals for comprehending their properties and surface reactions. In summary, this study provides valuable insights into the crystal structure, surface energy, and atomic arrangement of Cu2O, offering inspiration for its properties and potential applications. The combination of the Wulff construction method and ANN modeling provides a comprehensive understanding of Cu2O crystals and their surface behavior, contributing to the field of materials science and laying the foundation for various future applications utilizing the unique properties of Cu2O. [ABSTRACT FROM AUTHOR]

Accumulating evidence strongly suggests that dysregulation of long noncoding RNAs (lncRNAs) is associated with human carcinogenesis. The lncRNA HOXA transcript at the distal tip (HOTTIP) is involved in the development of several cancers. However, the biological role of HOTTIP in colorectal cancer (CRC) has not yet been discussed. Here, we report that HOTTIP acts as a functional oncogene in the pathogenesis of CRC. In this study, quantitative polymerase chain reaction (qPCR) was performed to detect the expression of HOTTIP in 48 pairs of colorectal cancer samples. We found that overexpression of HOTTIP is correlated with an advanced pathological stage and a larger tumor size. Moreover, functional analyses revealed that the knockdown of HOTTIP expression by small interfering RNA (siRNA) or small hairpin RNA (shRNA) could inhibit cell proliferation and induce cell apoptosis. More importantly, we observed that HOTTIP knockdown induced a marked increase in the number of cells in the G0/G1 phase and a reduction in the number of cells in the S phase in both DLD-1 cells and SW480 cells. An in vivo experiment also revealed that the knockdown of HOTTIP inhibited tumor growth. Western blot and immunohistochemistry analyses indicated that HOTTIP potentially contributed to CRC cell growth partially through the silencing of p21 expression. Collectively, our results suggest that HOTTIP is involved in the progression of CRC and may provide evidence for HOTTIP being a target for therapy of this disease. [ABSTRACT FROM AUTHOR]

Accumulating evidence strongly suggests that dysregulation of long noncoding RNAs (lncRNAs) is associated with human carcinogenesis. The lncRNA HOXA transcript at the distal tip (HOTTIP) is involved in the development of several cancers. However, the biological role of HOTTIP in colorectal cancer (CRC) has not yet been discussed. Here, we report that HOTTIP acts as a functional oncogene in the pathogenesis of CRC. In this study, quantitative polymerase chain reaction (qPCR) was performed to detect the expression of HOTTIP in 48 pairs of colorectal cancer samples. We found that overexpression of HOTTIP is correlated with an advanced pathological stage and a larger tumor size. Moreover, functional analyses revealed that the knockdown of HOTTIP expression by small interfering RNA (siRNA) or small hairpin RNA (shRNA) could inhibit cell proliferation and induce cell apoptosis. More importantly, we observed that HOTTIP knockdown induced a marked increase in the number of cells in the G0/G1 phase and a reduction in the number of cells in the S phase in both DLD-1 cells and SW480 cells. An in vivo experiment also revealed that the knockdown of HOTTIP inhibited tumor growth. Western blot and immunohistochemistry analyses indicated that HOTTIP potentially contributed to CRC cell growth partially through the silencing of p21 expression. Collectively, our results suggest that HOTTIP is involved in the progression of CRC and may provide evidence for HOTTIP being a target for therapy of this disease.