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        Analysis of the Main Factors Influencing the Permeability-Reducing Effect of Cement Infiltration in a River Sediment Matrix

        Jinlan Ji,Guisheng Fan 대한토목학회 2017 KSCE Journal of Civil Engineering Vol.21 No.3

        This research discusses the main factors effecting the permeability reduction due to cement infiltration or top soil masking when cement infiltrates in a river sediment matrix. This is relevant to the migration of pollutants to the groundwater through surface water infiltration, which is an important and urgent problem to resolve. A series of indoor infiltration simulations were performed to measure the infiltration reduction when the cement infiltrate in a selected soil matrix under different conditions (e.g. dry density, postponing time and waterhead, etc.). The infiltration in the cement-treated samples was compared with a reference infiltration with no cement masking or infiltrating. It was found that the infiltration rates of the cement-treated soils were consistently lower than the control sample, indicating an infiltration reduction due to cement infiltration. The average reduction ranged 3.59-44.33% depending on different processing methods. In this paper, some main factors affecting the permeability-reducing effect of cement infiltration in a river sediment matrix, such as the soil texture, dry density, postponing time of water supply, initial waterhead, and cement addition quantity, are discussed, and theories regarding cement infiltration mechanisms are presented

      • KCI등재SCOPUS

        Prognostic value of programmed cell death ligand-1 expression in ovarian cancer: an updated meta-analysis

        ( Jinlan Piao ),( Hyun Ji Lim ),( Maria Lee ) 대한산부인과학회 2020 Obstetrics & Gynecology Science Vol.63 No.3

        Objective To investigate the prognostic significance of programmed cell death ligand-1 (PD-L1) in ovarian cancer. Methods PubMed, Embase, and Cochrane Library databases were searched to identify studies that examined the prognostic significance of immunohistochemically assessed PD-L1 expression in histologically confirmed ovarian cancer. Eleven studies on PD-L1 expression involving 1,296 patients with ovarian cancer were included in this meta-analysis. Pooled hazard ratios (HRs) with corresponding 95% confidence intervals (CIs) were analyzed. Relationship between PDL1 expression, and overall survival (OS) or progression-free survival (PFS) among patients with ovarian cancer was assessed. Subgroup analysis was performed based on the race, histologic type, and tumor International Federation of Gynecology and Obstetrics stage to evaluate the source of heterogeneity. Begg’s Funnel plot and Egger’s linear test were used to evaluate publication bias. Random-effects model was implemented when significant between-study heterogeneity (I2>50%) was observed. Results We found no correlation between PD-L1 expression, and OS (HR, 1.13; 95% CI, 0.95-1.36; I<sup>2</sup>=78%) or PFS (HR, 1.07; 95% CI, 0.88-1.30; I<sup>2</sup>=75%) in ovarian cancer. Subgroup analyses showed that higher PD-L1 expression was associated with poor OS in non-Asian patients with ovarian cancer (HR, 1.26; 95% CI, 1.07-1.481; I<sup>2</sup>=59%). We found that upregulated PD-L1 expression to be a positive predictor for OS in serous ovarian cancer (HR, 0.98; 95% CI, 0.76- 1.26; I<sup>2</sup>=74%) and a negative predictor for OS in non-serous ovarian cancer (HR, 1.29; 95% CI, 1.03-1.61; I<sup>2</sup>=64%) Furthermore, high PD-L1 expression was found to be a negative predictor for PFS of patients with non-serous ovarian cancer (HR, 1.12; 95% CI, 0.96-1.29; I<sup>2</sup>=37%). Conclusion Our meta-analysis suggests that PD-L1 expression is not associated with patient risk for ovarian cancer.

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