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Xiaoning Wu,Xiaoqian Xu,Jialing Zhou,Yameng Sun,Huiguo Ding,Wen Xie,Guofeng Chen,Anlin Ma,Hongxin Piao,Bingqiong Wang,Shuyan Chen,Tongtong Meng,Xiaojuan Ou,Hwai-I Yang,Jidong Jia,Yuanyuan Kong,Hong Yo 대한간학회 2023 Clinical and Molecular Hepatology(대한간학회지) Vol.29 No.3
Background/Aims: Existing hepatocellular carcinoma (HCC) prediction models are derived mainly from pretreatment or early on-treatment parameters. We reassessed the dynamic changes in the performance of 17 HCC models in patients with chronic hepatitis B (CHB) during long-term antiviral therapy (AVT). Methods: Among 987 CHB patients administered long-term entecavir therapy, 660 patients had 8 years of follow-up data. Model scores were calculated using on-treatment values at 2.5, 3, 3.5, 4, 4.5, and 5 years of AVT to predict threeyear HCC occurrence. Model performance was assessed with the area under the receiver operating curve (AUROC). The original model cutoffs to distinguish different levels of HCC risk were evaluated by the log-rank test. Results: The AUROCs of the 17 HCC models varied from 0.51 to 0.78 when using on-treatment scores from years 2.5 to 5. Models with a cirrhosis variable showed numerically higher AUROCs (pooled at 0.65–0.73 for treated, untreated, or mixed treatment models) than models without (treated or mixed models: 0.61–0.68; untreated models: 0.51–0.59). Stratification into low, intermediate, and high-risk levels using the original cutoff values could no longer reflect the true HCC incidence using scores after 3.5 years of AVT for models without cirrhosis and after 4 years of AVT for models with cirrhosis. Conclusions: The performance of existing HCC prediction models, especially models without the cirrhosis variable, decreased in CHB patients on long-term AVT. The optimization of existing models or the development of novel models for better HCC prediction during long-term AVT is warranted.
Multi-Index Seismic Capacity Evaluation of Buckling-Restrained Braced Frames
Yulong Feng,Jing Wu,Xiaoning Cai,Shao-ping Meng 한국강구조학회 2018 International Journal of Steel Structures Vol.18 No.2
The seismic capacity of a structure is determined by the performance index that reaches its ultimate bearing or deformation capacity fi rst. This paper presents a multi-index seismic capacity evaluation method for accurately evaluating the seismic capacity of a structure. The normalized response curves of several indices are concurrently plotted to form a multi-index seismic capacity evaluation fi gure, in which the seismic capacity and demand values that correspond to various indices can be determined by vertical and horizontal threshold lines. Based on an incremental dynamic analysis (IDA), a 6-story buckling-restrained braced frame (BRBF) and a series of comparable 6-story steel frames are analyzed using the proposed method to verify the method and investigate the seismic behavior of BRBFs. The results show that the seismic performance of buckling-restrained braces is not the only factor that determines the seismic capacity of BRBFs and indicate that the multiindex seismic capacity evaluation method can eff ectively identify the critical index of a structure and the weakest links that restrict the structural seismic capacity.
Sixiang Ling,Xiyong Wu,Chunwei Sun,Xin Liao,Yong Ren,Xiaoning Li 한국지질과학협의회 2016 Geosciences Journal Vol.20 No.6
This paper reports a geochemical study on the mineralogy and major elements of mid-ridge (A), near mountaintop (B), and valley (C) profiles developed in the Lower Cambrian black shale in Northeast Chongqing, China. The primary objective was to understand the elemental mobility, mineralogical transformation, and weathering progression during black shale chemical weathering in a subtropical climate. Profiles A, B, and C are characterized as weak, weak to moderate, and moderate to intense in terms of weathering intensity, respectively, by the Chemical Index of Alteration (CIA). Results indicate that most elements were mobilized by acidic solutions produced during the oxidation of pyrite and organic matter (OM). Among the major elements, Si was slightly enriched in profile A, but depleted through desilication in profile B and C. Al was enriched in the regolith zone in profile A and C, and Fe was enriched at the oxic front because of secondary clay and sesquioxide formation. The addition and depletion of major elements and the depth of the oxic front increased with the degree of weathering. Gypsum and Fe- (hydro-) oxides were observed to form and re-precipitate in the saprock and fractured shale zones. Clay minerals formed from dissolution of plagioclase and the transformation of other labile clay minerals during weathering. The progressive changes in mineralogical composition of weathered material from profile A to C showed the sequence of mineral decomposition with degree of weathering: first, oxidation of pyrite and OM; then Ca and Mg were removed during dissolution of carbonatite; followed by removal of Na from dissolution of plagioclase; lastly, transformation of clay minerals during weathering; meanwhile, desilication occurs at moderate to intense weathering stages.
Feng Zhou,Jinjin Cai,Xiaoning Mao,Zhenyu Wu,Yong Nie 한국화학공학회 2022 Korean Journal of Chemical Engineering Vol.39 No.9
As a green plasticizer, the industrial production of dioctyl terephthalate (DOTP) is still facing the problemof high energy consumption. To optimize the production process and reactor, it is essential to understand the kineticbehavior of reaction system. In this work, the two-step consecutive esterification of solid terephthalic acid (PTA) and 2-ethylhexanol (2-EH) catalyzed by tetrabutyl titanate was studied. First, the equilibrium constants and enthalpies of thetwo-step reaction were experimentally determined and validated by the group contribution methods. Then, a pseudohomogeneouskinetic model was developed, and the reaction order of PTA was corrected to reflect its solid phase characteristic. Non-isothermal kinetic experiments were carried out under different initial feed molar ratios and catalystconcentrations, and the kinetic parameters in the model were estimated by mathematical regression. The model predicteddata agreed well with the experimental data. Finally, the analyses of reaction rate showed that the first-step reactionwas the rate-controlling step of the whole esterification process.