Objective:The possible enhancing effect of anlotinib on programmed death receptor ligand(PD-L1)antibody and the efficacy-predicting power of PD-L1 in micro-conduit endothelium,including lymphatic endothelial cells(LEC...Objective:The possible enhancing effect of anlotinib on programmed death receptor ligand(PD-L1)antibody and the efficacy-predicting power of PD-L1 in micro-conduit endothelium,including lymphatic endothelial cells(LECs)and blood endothelial cells(BECs),were determined to identify patients who would benefit from this treatment.Methods:PD-L1 positivity in LECs,BECs,and tumor cells(TCs)was assessed using paraffin sections with multicolor immunofluorescence in an investigator’s brochure clinical trial of TQB2450(PD-L1 antibody)alone or in combination with anlotinib in patients with non-small cell lung cancer.Progression-free survival(PFS)with different levels of PD-L1 expression was compared between the two groups.Results:Among 75 patients,the median PFS(mPFS)was longer in patients who received TQB2450 with anlotinib[10 and 12 mg(161 and 194 days,respectively)]than patients receiving TQB2450 alone(61 days)[hazard ratio(HR)_(10 mg)=0.390(95%confidence interval{CI},0.201–0.756),P=0.005;HR_(12 mg)=0.397(0.208–0.756),P=0.005].The results were similar among 58 patients with high PD-L1 expression in LECs and TCs[159 and 209 vs.82 days,HR_(10 mg)=0.445(0.210–0.939),P=0.034;HR_(12 mg)=0.369(0.174–0.784),P=0.009],and 53 patients with high PD-L1 expression in BECs and TCs[161 and 209 vs.41 days,HR_(10 mg)=0.340(0.156–0.742),P=0.007;HR_(12 mg)=0.340(0.159–0.727),P=0.005].No differences were detected in the mPFS between the TQB2450 and combination therapy groups in 13 low/no LEC-expressing and 18 low/no BEC-expressing PD-L1 cases.Conclusions:Mono-immunotherapy is not effective in patients with high PD-L1 expression in LECs and/or BECs.Anlotinib may increase efficacy by downregulating PD-L1 expression in LECs and/or BECs,which is presumed to be a feasible marker for screening the optimal immune patient population undergoing anti-angiogenic therapy.展开更多
Retrieval of Thin-Ice Thickness(TIT)using thermodynamic modeling is sensitive to the parameterization of the independent variables(coded in the model)and the uncertainty of the measured input variables.This article ex...Retrieval of Thin-Ice Thickness(TIT)using thermodynamic modeling is sensitive to the parameterization of the independent variables(coded in the model)and the uncertainty of the measured input variables.This article examines the deviation of the classical model’s TIT output when using different parameterization schemes and the sensitivity of the output to the ice thickness.Moreover,it estimates the uncertainty of the output in response to the uncertainties of the input variables.The parameterized independent variables include atmospheric longwave emissivity,air density,specific heat of air,latent heat of ice,conductivity of ice,snow depth,and snow conductivity.Measured input parameters include air temperature,ice surface temperature,and wind speed.Among the independent variables,the results show that the highest deviation is caused by adjusting the parameterization of snow conductivity and depth,followed ice conductivity.The sensitivity of the output TIT to ice thickness is highest when using parameterization of ice conductivity,atmospheric emissivity,and snow conductivity and depth.The retrieved TIT obtained using each parameterization scheme is validated using in situ measurements and satellite-retrieved data.From in situ measurements,the uncertainties of the measured air temperature and surface temperature are found to be high.The resulting uncertainties of TIT are evaluated using perturbations of the input data selected based on the probability distribution of the measurement error.The results show that the overall uncertainty of TIT to air temperature,surface temperature,and wind speed uncertainty is around 0.09 m,0.049 m,and−0.005 m,respectively.展开更多
[Objectives]To establish the quality standard of hospital preparation Jiedu Shengxue granules.[Methods]Scleromitrion diffusum and Prunella vulgaris in Jiedu Shengxue granules were qualitatively identified by thin laye...[Objectives]To establish the quality standard of hospital preparation Jiedu Shengxue granules.[Methods]Scleromitrion diffusum and Prunella vulgaris in Jiedu Shengxue granules were qualitatively identified by thin layer chromatography(TLC).A high performance liquid chromatography(HPLC)was established to determine the content of notoginsenoside R1 in the granule.[Results]The traditional Chinese medicinal materials in Jiedu Shengxue granules could be identified by TLC,and the characteristic spots were stable and clear.Notoginsenoside R1 had a good linear relationship in the range of 10.45-104.5μg/mL,with an average recovery of 98.52%and RSD=2.36%.[Conclusions]TLC and HPLC,as the quality control methods of Jiedu Shengxue granules,have high accuracy and good repeatability,which lays a foundation for the quality control of this mixture.展开更多
We report the performances of a chalcopyrite Cu(In, Ga)Se<sub>2 </sub>CIGS-based thin-film solar cell with a newly employed high conductive n-Si layer. The data analysis was performed with the help of the ...We report the performances of a chalcopyrite Cu(In, Ga)Se<sub>2 </sub>CIGS-based thin-film solar cell with a newly employed high conductive n-Si layer. The data analysis was performed with the help of the 1D-Solar Cell Capacitance Simulator (1D-SCAPS) software program. The new device structure is based on the CIGS layer as the absorber layer, n-Si as the high conductive layer, i-In<sub>2</sub>S<sub>3</sub>, and i-ZnO as the buffer and window layers, respectively. The optimum CIGS bandgap was determined first and used to simulate and analyze the cell performance throughout the experiment. This analysis revealed that the absorber layer’s optimum bandgap value has to be 1.4 eV to achieve maximum efficiency of 22.57%. Subsequently, output solar cell parameters were analyzed as a function of CIGS layer thickness, defect density, and the operating temperature with an optimized n-Si layer. The newly modeled device has a p-CIGS/n-Si/In<sub>2</sub>S<sub>3</sub>/Al-ZnO structure. The main objective was to improve the overall cell performance while optimizing the thickness of absorber layers, defect density, bandgap, and operating temperature with the newly employed optimized n-Si layer. The increase of absorber layer thickness from 0.2 - 2 µm showed an upward trend in the cell’s performance, while the increase of defect density and operating temperature showed a downward trend in solar cell performance. This study illustrates that the proposed cell structure shows higher cell performances and can be fabricated on the lab-scale and industrial levels.展开更多
文摘Objective:The possible enhancing effect of anlotinib on programmed death receptor ligand(PD-L1)antibody and the efficacy-predicting power of PD-L1 in micro-conduit endothelium,including lymphatic endothelial cells(LECs)and blood endothelial cells(BECs),were determined to identify patients who would benefit from this treatment.Methods:PD-L1 positivity in LECs,BECs,and tumor cells(TCs)was assessed using paraffin sections with multicolor immunofluorescence in an investigator’s brochure clinical trial of TQB2450(PD-L1 antibody)alone or in combination with anlotinib in patients with non-small cell lung cancer.Progression-free survival(PFS)with different levels of PD-L1 expression was compared between the two groups.Results:Among 75 patients,the median PFS(mPFS)was longer in patients who received TQB2450 with anlotinib[10 and 12 mg(161 and 194 days,respectively)]than patients receiving TQB2450 alone(61 days)[hazard ratio(HR)_(10 mg)=0.390(95%confidence interval{CI},0.201–0.756),P=0.005;HR_(12 mg)=0.397(0.208–0.756),P=0.005].The results were similar among 58 patients with high PD-L1 expression in LECs and TCs[159 and 209 vs.82 days,HR_(10 mg)=0.445(0.210–0.939),P=0.034;HR_(12 mg)=0.369(0.174–0.784),P=0.009],and 53 patients with high PD-L1 expression in BECs and TCs[161 and 209 vs.41 days,HR_(10 mg)=0.340(0.156–0.742),P=0.007;HR_(12 mg)=0.340(0.159–0.727),P=0.005].No differences were detected in the mPFS between the TQB2450 and combination therapy groups in 13 low/no LEC-expressing and 18 low/no BEC-expressing PD-L1 cases.Conclusions:Mono-immunotherapy is not effective in patients with high PD-L1 expression in LECs and/or BECs.Anlotinib may increase efficacy by downregulating PD-L1 expression in LECs and/or BECs,which is presumed to be a feasible marker for screening the optimal immune patient population undergoing anti-angiogenic therapy.
文摘Retrieval of Thin-Ice Thickness(TIT)using thermodynamic modeling is sensitive to the parameterization of the independent variables(coded in the model)and the uncertainty of the measured input variables.This article examines the deviation of the classical model’s TIT output when using different parameterization schemes and the sensitivity of the output to the ice thickness.Moreover,it estimates the uncertainty of the output in response to the uncertainties of the input variables.The parameterized independent variables include atmospheric longwave emissivity,air density,specific heat of air,latent heat of ice,conductivity of ice,snow depth,and snow conductivity.Measured input parameters include air temperature,ice surface temperature,and wind speed.Among the independent variables,the results show that the highest deviation is caused by adjusting the parameterization of snow conductivity and depth,followed ice conductivity.The sensitivity of the output TIT to ice thickness is highest when using parameterization of ice conductivity,atmospheric emissivity,and snow conductivity and depth.The retrieved TIT obtained using each parameterization scheme is validated using in situ measurements and satellite-retrieved data.From in situ measurements,the uncertainties of the measured air temperature and surface temperature are found to be high.The resulting uncertainties of TIT are evaluated using perturbations of the input data selected based on the probability distribution of the measurement error.The results show that the overall uncertainty of TIT to air temperature,surface temperature,and wind speed uncertainty is around 0.09 m,0.049 m,and−0.005 m,respectively.
基金Supported by Guangxi Hospital Preparation Quality Improvement Project of Zhuang and Yao Ethnic Medicines(GZZJ202015)Key Research and Development Plan of Guangxi Department of Science and Technology(GK AB21196057)+3 种基金High-level TCM Key Discipline(Zhuang Pharmacology)Construction Project of State Administration of Traditional Chinese Medicine(GZYYRJH[2022]226)Guangxi TCM Multidisciplinary Innovative Team Project(GZKJ2309)"Qingmiao Engineering"Talent Cultivation Project of Guangxi International Zhuang Medical Hospital(2022001)"High-level Talent Cultivation and Innovation Team"Project of Guangxi University of Chinese Medicine(2022A008).
文摘[Objectives]To establish the quality standard of hospital preparation Jiedu Shengxue granules.[Methods]Scleromitrion diffusum and Prunella vulgaris in Jiedu Shengxue granules were qualitatively identified by thin layer chromatography(TLC).A high performance liquid chromatography(HPLC)was established to determine the content of notoginsenoside R1 in the granule.[Results]The traditional Chinese medicinal materials in Jiedu Shengxue granules could be identified by TLC,and the characteristic spots were stable and clear.Notoginsenoside R1 had a good linear relationship in the range of 10.45-104.5μg/mL,with an average recovery of 98.52%and RSD=2.36%.[Conclusions]TLC and HPLC,as the quality control methods of Jiedu Shengxue granules,have high accuracy and good repeatability,which lays a foundation for the quality control of this mixture.
文摘We report the performances of a chalcopyrite Cu(In, Ga)Se<sub>2 </sub>CIGS-based thin-film solar cell with a newly employed high conductive n-Si layer. The data analysis was performed with the help of the 1D-Solar Cell Capacitance Simulator (1D-SCAPS) software program. The new device structure is based on the CIGS layer as the absorber layer, n-Si as the high conductive layer, i-In<sub>2</sub>S<sub>3</sub>, and i-ZnO as the buffer and window layers, respectively. The optimum CIGS bandgap was determined first and used to simulate and analyze the cell performance throughout the experiment. This analysis revealed that the absorber layer’s optimum bandgap value has to be 1.4 eV to achieve maximum efficiency of 22.57%. Subsequently, output solar cell parameters were analyzed as a function of CIGS layer thickness, defect density, and the operating temperature with an optimized n-Si layer. The newly modeled device has a p-CIGS/n-Si/In<sub>2</sub>S<sub>3</sub>/Al-ZnO structure. The main objective was to improve the overall cell performance while optimizing the thickness of absorber layers, defect density, bandgap, and operating temperature with the newly employed optimized n-Si layer. The increase of absorber layer thickness from 0.2 - 2 µm showed an upward trend in the cell’s performance, while the increase of defect density and operating temperature showed a downward trend in solar cell performance. This study illustrates that the proposed cell structure shows higher cell performances and can be fabricated on the lab-scale and industrial levels.
