Modelling Uncertainties and Sensitivity Analysis of Landslide Susceptibility Prediction under Different Environmental Factor Connection Methods and Machine Learning Models

Faming Huang,Haowen Xiong,Xiaoting Zhou,Filippo Catani,Jinsong Huang 대한토목학회 2024 KSCE Journal of Civil Engineering Vol.28 No.1

The utilization of different connection methods between landslides and environmental factors introduces uncertainty in landslide susceptibility prediction (LSP). Investigating and identifying the characteristics of this uncertainty and determining more suitable connection methods are of significant importance for LSP. This study uses original 12 environmental factors data as well as calculated data from five connection methods, namely, probability statistics (PS), frequency ratio (FR), information volume (IV), index of entropy (IOE), and weight of evidence (WOE), as model input variables. Then, four machine learnings logistic regression (LR), Bayesian networks (BN), support vector machines (SVM) and C5.0 Decision Trees (C5.0 DT) are combined with the calculated data and the original data to create 24 unique combinations of connection methods and models. Under these 24 combinations, the uncertainty analysis of LSP modeling is conducted, using Huichang County of China as an example. The analysis entails accuracy assessment, statistical analysis of landslide susceptibility indexes (LSIs), distribution patterns of LSIs and sensitivity analysis of the two uncertainty issues. The results show that: 1) LSP accuracies of the FR-, IV- and IOE-based models are comparable, but are lower than those of the WOE-based models, with those of the PS-based models being the worst. WOE has better nonlinear connection performance than the other methods. 2) LSP accuracies of individual models are slightly lower than those of coupled models, but their modeling efficiencies are higher than those of coupled models. 3) The machine learning is more sensitive than the connection method for LSP. In short, WOE-C5.0 DT has the lowest LSP uncertainty while a single machine learning can produce satisfied LSP results with high modelling efficiency.

China's Taiwan Policy : Dilemma and Choice

Huang,Jing,Li, Xiaoting 인하대학교 국제관계연구소 2001 Pacific Focus Vol.16 No.2

Calcination of layered double hydroxide membrane with enhanced nanofiltration performance

Zheng Huang,Naixin Wang,Xiaoting Li,Quan-Fu An 한국공업화학회 2020 Journal of Industrial and Engineering Chemistry Vol.89 No.-

Two-dimensional layered double hydroxides (LDH) as a membrane material has tremendous potential inthe water treatmentfield. However, the stability and permeance of the LDH membrane should be furtherimproved for the industrial application. In this study, the LDH separation layer was in situ grown on thetubular Al2O3 substrate. The obtained LDH composite membrane was then calcined to reduce the surfacefree energy and remove some interlayer anions. Therefore, the calcined LDH composite membraneexhibited enhanced stability and permeance for removing dye molecules from water. The permeance ofthe calcined LDH membrane reached 367 L m 2 h 1MPa 1 and the rejection for Eriochrome black T wasstill above 99%. Moreover, the membrane can maintain the separation performance more than 110 h inthe nanofiltration process. The morphologies and structures of the LDH membranes before and aftercalcination were also investigated. The results indicated that this facile method is effective to improve theseparation performance of the LDH membrane.

In Vitro and In Vivo Photoprotective Effects of (-)-Loliode Isolated from the Brown Seaweed, Sargassum horneri

LeiWang,Hyun-Soo Kim,Jun-Geon Je,Xiaoting Fu,Caoxing Huang,Ginnae Ahn,Jae-Young Oh,K. K. Asanka Sanjeewa,Jiachao Xu,Xin Gao,In-Kyu Yeo,You-Jin Jeon 제주대학교 해양과학연구소 2021 해양과환경연구소 연구논문집 Vol.45 No.-

Skin is the largest organ of humans. Overexposure to ultraviolet (UV) is the primary environmental factor that causes skin damage. The compound, (-)-loliode, isolated from the brown seaweed Sargassum horneri, showed strong antioxidant and anti-inflammatory activities in in vitro and in vivo models. To further explore the potential of (-)-loliode in cosmetics, in the present study, we investigated the photoprotective effect of (-)-loliode in vitro in skin cells and in vivo in zebrafish. The results indicated that (-)-loliode significantly reduced intracellular reactive oxygen species (ROS) level, improved cell viability, and suppressed apoptosis of UVB-irradiated human keratinocytes. In addition, (-)-loliode remarkably attenuated oxidative damage, improved collagen synthesis, and inhibited matrix metalloproteinases expression in UVB-irradiated human dermal fibroblasts. Furthermore, the in vivo test demonstrated that (-)-loliode effectively and dose-dependently suppressed UVB-induced zebrafish damage displayed in decreasing the levels of ROS, nitric oxide, lipid peroxidation, and cell death in UVB-irradiated zebrafish. These results indicate that (-)-loliode possesses strong photoprotective activities and suggest (-)-loliode may an ideal ingredient in the pharmaceutical and cosmeceutical industries.

Atomistic simulations of defect accumulation and evolution in heavily irradiated titanium for nuclear-powered spacecraft

Guopeng Zhang,Bin Cai,Hai Huang,Xiaoting Yuan,Longjingrui Ma,Jiwei Lin Korean Nuclear Society 2023 Nuclear Engineering and Technology Vol.55 No.6

Titanium alloys are expected to become one of the candidate materials for nuclear-powered spacecraft due to their excellent overall performance. Nevertheless, atomistic mechanisms of the defect accumulation and evolution of the materials due to long-term exposure to irradiation remain scarcely understood by far. Here we investigate the heavy irradiation damage in a-titanium with a dose as high as 4.0 canonical displacements per atom (cDPA) using atomistic simulations of Frenkel pair accumulation. Results show that the content of surviving defects increases sharply before 0.04 cDPA and then decreases slowly to stabilize, exhibiting a strong correlation with the system energy. Under the current simulation conditions, the defect clustering fraction may be not directly dependent on the irradiation dose. Compared to vacancies, interstitials are more likely to form clusters, which may further cause the formation of 1/3<1210> interstitial-type dislocation loops extended along the (1010) plane. This study provides an important insight into the understanding of the irradiation damage behaviors for titanium.

Disease burden of prostate cancer from 2014 to 2019 in the United States: estimation from the Global Burden of Disease Study 2019 and Medical Expenditure Panel Survey

Shen Lin,Dong Lin,Yiyuan Li,Lixian Zhong,Wei Zhou,Yajing Wu,Chen Xie,Shaohong Luo,Xiaoting Huang,Xiongwei Xu,Xiuhua Weng 한국역학회 2023 Epidemiology and Health Vol.45 No.-

OBJECTIVES: The aim of this study was to evaluate the disease burden of prostate cancer (PC) and assess key influencing factors associated with the disease expenditures of PC in the United States. METHODS: The total deaths, incidence, prevalence, and disability-adjusted life-years of PC were obtained from the Global Burden of Disease Study 2019. The Medical Expenditure Panel Survey was used to estimate healthcare expenditures and productivity loss and to investigate patterns of payment and use of healthcare resources in the United States. A multivariable logistic regression model was conducted to identify key factors influencing expenditures. RESULTS: For patients aged 50 and older, the burden for all age groups showed a modest increase over the 6-year period. Annual medical expenditures were estimated to range from US$24.8 billion to US$39.2 billion from 2014 to 2019. The annual loss in productivity for patients was approximately US$1,200. The top 3 major components of medical costs were hospital inpatient stays, prescription medicines, and office-based visits. Medicare was the largest source of payments for survivors. In terms of drug consumption, genitourinary tract agents (57.0%) and antineoplastics (18.6%) were the main therapeutic drugs. High medical expenditures were positively associated with age (p=0.005), having private health insurance (p=0.016), more comorbidities, not currently smoking (p=0.001), and patient self-perception of fair/poor health status (p<0.001). CONCLUSIONS: From 2014 to 2019, the national real-world data of PC revealed that the disease burden in the United States continued to increase, which was partly related to patient characteristics.