构建使用了PD-1抑制剂的肿瘤患者出现甲状腺功能障碍的风险预测模型,分析使用PD-1肿瘤抑制剂导致的甲状腺功能障碍的相关风险因素,设计监测预警系统。选取2020年—2023年广西医科大学附属肿瘤医院1225例使用PD-1抑制剂肿瘤患者的临床资...构建使用了PD-1抑制剂的肿瘤患者出现甲状腺功能障碍的风险预测模型,分析使用PD-1肿瘤抑制剂导致的甲状腺功能障碍的相关风险因素,设计监测预警系统。选取2020年—2023年广西医科大学附属肿瘤医院1225例使用PD-1抑制剂肿瘤患者的临床资料,包括人口学特征、既往史、实验室检测等63个变量。本文选取相关性前10/20/30/40/50/60个变量的4种传统机器学习模型进行性能比较。通过F1分数、灵敏度、准确率、精确率、特异性曲线下面积(Area Under the Curve,AUC)评估以上预测模型的性能,并利用Shapley加性解释(Shapley Additive Explanation,SHAP)可视化解释本文的机器学习模型。与促甲状腺激素相关性排名前10的变量依次为:羟丁酸脱氢酶、乳酸脱氢酶、淋巴细胞绝对值、天门冬氨酸转移酶、钙离子、碱性磷酸酶、谷氨酰转肽酶、单核细胞绝对值、红细胞分布宽度SD、胆碱酯酶。建立了使用PD-1抑制剂的肿瘤患者出现甲状腺功能障碍的风险预测模型,并在全局解释和局部解释的层面上分别作出模型预测结果影响的解释。展开更多
Reaction-diffusion systems are widely used to describe pattern formation,and various control strategies have been applied to reaction-diffusion systems to achieve control objectives such as boundary control,output fee...Reaction-diffusion systems are widely used to describe pattern formation,and various control strategies have been applied to reaction-diffusion systems to achieve control objectives such as boundary control,output feedback stabilization,and synchronization.However,controlling pattern dynamics in reaction-diffusion systems with fractional-order diffusion remains an unresolved problem.This paper presents a proportional-derivative(PD)control strategy for the Schnakenberg system with fractional-order diffusion and cross-diffusion.Theoretical analysis explores the amplitude equation near the Turing bifurcation threshold,determining the selection and stability of pattern formations.Numerical simulations demonstrate that the PD controller accomplishes the modification of pattern structures and suppression of Turing instability by adjusting only two control parameters.Additionally,it is found that for smaller fractional diffusion order,the region can accommodate more hexagonal and stripe patterns in space.This work contributes to the control of complex pattern dynamics and offers a new approach to enhancing stability in fractional reaction-diffusion systems.展开更多
Recovery of palladium from spent catalysts is of great practical significance for the construction of ecological civilization and resource recycling.However,for environmentally friendly adsorption methods,designing sp...Recovery of palladium from spent catalysts is of great practical significance for the construction of ecological civilization and resource recycling.However,for environmentally friendly adsorption methods,designing specialized capture vacancies with high capacity and precise selectivity for Pd(Ⅱ) ions remains a challenge.Herein,a salicylic acid-modified nanofiber(SANF),exhibiting specific spatial configuration and constructing a capture vacancy by "O-O" of hard bases,was designed and employed for recovering and separating palladium.The adsorption results indicated that the SANF exhibited a fast capture rate(reaching adsorption equilibrium within60 min) and a large capture capacity(about 170 mg/g) for Pd(Ⅱ) ions,and the capture process was exothermic and spontaneous.Additionally,the Lewis basicity of the capture vacancy after tuning better matches the Lewis acidity of Pd(Ⅱ) ions,which achieves a high-selectivity separation of Pd(Ⅱ) ions(selectivity coefficient for K(Ⅰ),Na(Ⅰ) Ca(Ⅱ),Mg(Ⅱ) and Al(Ⅲ) ions are 1505.2,10,536.7,1128.9,2634.2 and 2873.6,respectively).Practical applications showed that SANF was enabled to recover Pd(Ⅱ) ions from spent catalyst leachate and achieved four time adsorption-desorption cycles,possessing some industrial promise.Furthermore,the matching mechanism between the Lewis basicity of the capture vacancy and the Lewis acidity of the Pd(Ⅱ) ions was revealed through series characterization and theoretical calculations.Finally,it is proposed a Lewis basicity tuning strategy founded on a specific spatial structure,provides a new insight for the design and construction of a capture vacancy for Pd(Ⅱ) ions in the future.展开更多
Successfully generating reactive oxygen species(ROS)in a targeted and efficient manner for the detoxification of chlorinated organic pollutants(CPs)is a significant and demanding challenge.Herein,we present an in-situ...Successfully generating reactive oxygen species(ROS)in a targeted and efficient manner for the detoxification of chlorinated organic pollutants(CPs)is a significant and demanding challenge.Herein,we present an in-situ photoreduction strategy to fabricate a composite of palladium(Pd)nanoparticles anchored few-layer carbon nitride nanosheets(Pd-CN).This innovative Pd-CN is then leveraged to activate peroxymonosulfate(PMS)in pursuit of our objective.The incorporation of Pd nanoparticles enhances PMS absorption and targets its terminal oxygen,thereby aiding in the cleavage of the O-O bond.This process generates crucial intermediates,including adsorbed hydroxyl radicals(*OH)and adsorbed atomic oxygen(O*),which are essential for the production of ^(1)O_(2).Consequently,the Pd-CN catalyst demonstrates strong preference for ^(1)O_(2) generation during the PMS activation process,successfully degrading over 95%of pollutants such as 4-chlorophenol(4-CP),2,4-dichlorophenol(2,4-DCP),and 2,4,6-trichlorophenol(2,4,6-TCP)within just 20 min.Additionally,the catalyst exhibits total organic carbon(TOC)removal rates ranging from 49.4%to 31.4%,while the rates for de-chlorination fall between 68.6%and 72.7%.A subsequent continuous-flow treatment experiment has confirmed the application potential of this system,demonstrating consistent catalytic activity for up to 8 h.This promising technique presents an efficient strategy for addressing the high toxicity of chlorinated organic pollutants in contaminated water.展开更多
文摘构建使用了PD-1抑制剂的肿瘤患者出现甲状腺功能障碍的风险预测模型,分析使用PD-1肿瘤抑制剂导致的甲状腺功能障碍的相关风险因素,设计监测预警系统。选取2020年—2023年广西医科大学附属肿瘤医院1225例使用PD-1抑制剂肿瘤患者的临床资料,包括人口学特征、既往史、实验室检测等63个变量。本文选取相关性前10/20/30/40/50/60个变量的4种传统机器学习模型进行性能比较。通过F1分数、灵敏度、准确率、精确率、特异性曲线下面积(Area Under the Curve,AUC)评估以上预测模型的性能,并利用Shapley加性解释(Shapley Additive Explanation,SHAP)可视化解释本文的机器学习模型。与促甲状腺激素相关性排名前10的变量依次为:羟丁酸脱氢酶、乳酸脱氢酶、淋巴细胞绝对值、天门冬氨酸转移酶、钙离子、碱性磷酸酶、谷氨酰转肽酶、单核细胞绝对值、红细胞分布宽度SD、胆碱酯酶。建立了使用PD-1抑制剂的肿瘤患者出现甲状腺功能障碍的风险预测模型,并在全局解释和局部解释的层面上分别作出模型预测结果影响的解释。
基金supported by the National Natural Science Foundation of China(62073172)the Natural Science Foundation of Jiangsu Province of China(BK20221329)。
文摘Reaction-diffusion systems are widely used to describe pattern formation,and various control strategies have been applied to reaction-diffusion systems to achieve control objectives such as boundary control,output feedback stabilization,and synchronization.However,controlling pattern dynamics in reaction-diffusion systems with fractional-order diffusion remains an unresolved problem.This paper presents a proportional-derivative(PD)control strategy for the Schnakenberg system with fractional-order diffusion and cross-diffusion.Theoretical analysis explores the amplitude equation near the Turing bifurcation threshold,determining the selection and stability of pattern formations.Numerical simulations demonstrate that the PD controller accomplishes the modification of pattern structures and suppression of Turing instability by adjusting only two control parameters.Additionally,it is found that for smaller fractional diffusion order,the region can accommodate more hexagonal and stripe patterns in space.This work contributes to the control of complex pattern dynamics and offers a new approach to enhancing stability in fractional reaction-diffusion systems.
基金supported by Sichuan Science and Technology Program(No.2024YFHZ0103)Anhui Province Applied Peak Cultivation Discipline(No.XK-XJGF005)+1 种基金Anhui Province Quartz Sand Purification and Photovoltaic Glass Engineering Research Center(No.[2022]547-49)the Key research and development projects of Shandong Province(No.2023CXGC010903).
文摘Recovery of palladium from spent catalysts is of great practical significance for the construction of ecological civilization and resource recycling.However,for environmentally friendly adsorption methods,designing specialized capture vacancies with high capacity and precise selectivity for Pd(Ⅱ) ions remains a challenge.Herein,a salicylic acid-modified nanofiber(SANF),exhibiting specific spatial configuration and constructing a capture vacancy by "O-O" of hard bases,was designed and employed for recovering and separating palladium.The adsorption results indicated that the SANF exhibited a fast capture rate(reaching adsorption equilibrium within60 min) and a large capture capacity(about 170 mg/g) for Pd(Ⅱ) ions,and the capture process was exothermic and spontaneous.Additionally,the Lewis basicity of the capture vacancy after tuning better matches the Lewis acidity of Pd(Ⅱ) ions,which achieves a high-selectivity separation of Pd(Ⅱ) ions(selectivity coefficient for K(Ⅰ),Na(Ⅰ) Ca(Ⅱ),Mg(Ⅱ) and Al(Ⅲ) ions are 1505.2,10,536.7,1128.9,2634.2 and 2873.6,respectively).Practical applications showed that SANF was enabled to recover Pd(Ⅱ) ions from spent catalyst leachate and achieved four time adsorption-desorption cycles,possessing some industrial promise.Furthermore,the matching mechanism between the Lewis basicity of the capture vacancy and the Lewis acidity of the Pd(Ⅱ) ions was revealed through series characterization and theoretical calculations.Finally,it is proposed a Lewis basicity tuning strategy founded on a specific spatial structure,provides a new insight for the design and construction of a capture vacancy for Pd(Ⅱ) ions in the future.
基金supported by the Natural Science Foundation of Hebei Province(No.B2024203026)the Yanzhao Golden Platform Talent Project(Education Platform)of Hebei Province(No.HJYB202517)+1 种基金the National Natural Science Foundation of China(Nos.U22A20403,22006128)the Open Foundation of MOE Key Laboratory of Resources and Environmental System Optimization,College of Environmental Science and Engineering,North China Electric Power University(No.KLRE-KF202308).
文摘Successfully generating reactive oxygen species(ROS)in a targeted and efficient manner for the detoxification of chlorinated organic pollutants(CPs)is a significant and demanding challenge.Herein,we present an in-situ photoreduction strategy to fabricate a composite of palladium(Pd)nanoparticles anchored few-layer carbon nitride nanosheets(Pd-CN).This innovative Pd-CN is then leveraged to activate peroxymonosulfate(PMS)in pursuit of our objective.The incorporation of Pd nanoparticles enhances PMS absorption and targets its terminal oxygen,thereby aiding in the cleavage of the O-O bond.This process generates crucial intermediates,including adsorbed hydroxyl radicals(*OH)and adsorbed atomic oxygen(O*),which are essential for the production of ^(1)O_(2).Consequently,the Pd-CN catalyst demonstrates strong preference for ^(1)O_(2) generation during the PMS activation process,successfully degrading over 95%of pollutants such as 4-chlorophenol(4-CP),2,4-dichlorophenol(2,4-DCP),and 2,4,6-trichlorophenol(2,4,6-TCP)within just 20 min.Additionally,the catalyst exhibits total organic carbon(TOC)removal rates ranging from 49.4%to 31.4%,while the rates for de-chlorination fall between 68.6%and 72.7%.A subsequent continuous-flow treatment experiment has confirmed the application potential of this system,demonstrating consistent catalytic activity for up to 8 h.This promising technique presents an efficient strategy for addressing the high toxicity of chlorinated organic pollutants in contaminated water.
