Colorectal cancer(CRC)has become a major threat to human health.Recent years,improvements have been seen in the treatment of advanced CRC with immune checkpoint inhibitors(ICIs).Nonetheless,sensitivity to ICIs notably...Colorectal cancer(CRC)has become a major threat to human health.Recent years,improvements have been seen in the treatment of advanced CRC with immune checkpoint inhibitors(ICIs).Nonetheless,sensitivity to ICIs notably varies among patients,thus greatly limiting clinical applications of ICIs in CRC.Hence,the identification of biomarkers that can accurately distinguish between ICI-sensitive and drug-resistant patients is of utmost importance.Such biomarkers are essential for selecting appropriate treatment regimens and achieving precision therapy(Figure 1).The biomarkers discussed below provide insights into the advancements made in this field(Table 1).展开更多
The mathematical models are developed to evaluate the ultimate tensile strength( UTS) and hardness of CNTs / Al2024 composites fabricated by high-energy ball milling. The effects of the preparation variables which are...The mathematical models are developed to evaluate the ultimate tensile strength( UTS) and hardness of CNTs / Al2024 composites fabricated by high-energy ball milling. The effects of the preparation variables which are milling time,rotational speed,mass fraction of CNTs and ball to powder ratio on UST and hardness of CNTs / Al2024 composites are investigated. Based on the central composite design( CCD),a quadratic model is developed to correlate the fabrication variables to the UST and hardness. From the analysis of variance( ANOVA),the most influential factor on each experimental design response is identified. The optimum conditions for preparing CNTs / Al2024 composites are found as follows: 1. 53 h milling time,900 r / min rotational speed,mass fraction of CNTs 2. 87% and Ball to powder ratio 25 ∶ 1. The predicted maximum UST and hardness are 273.30 MPa and 261.36 HV,respectively. And the experimental values are 283.25 MPa and256.8 HV,respectively. It is indicated that the predicted UST and hardness after process optimization are found to agree satisfactory with the experimental values.展开更多
Three-dimensional(3 D) co-seismic surface deformations are of great importance to interpret the characteristics of coseismic deformations and to understand the geometries and dynamics of seismogenic faults. In this pa...Three-dimensional(3 D) co-seismic surface deformations are of great importance to interpret the characteristics of coseismic deformations and to understand the geometries and dynamics of seismogenic faults. In this paper, we propose a method for mapping 3 D co-seismic deformations based on InSAR observations and crustal strain characteristics. In addition, the search strategy of correlation points is optimized by adaptive correlation distance, which greatly improves the applicability of the proposed method in restoring deformations in decorrelation areas. Results of the simulation experiment reveal that the proposed method is superior to conventional methods in both the accuracy and completeness. The proposed method is then applied to map the 3 D co-seismic surface deformations associated with the 2015 MW7.2 Murghab earthquake using ascending and descending ALOS-2 PALSAR-2 images. The results show that the seismogenic fault is the Sarez-Karakul fault(SKF), which is dominated by NE-SW strike slips with an almost vertical dip angle. The north section and the south segment near the epicentre have obvious subsidence along with a southwestward motion in the northwest wall, and the southeast wall has northeast movement and surface uplift trend along the fault zone. The strain field of the earthquake is also obtained by the proposed method. It is found that the crustal block of the seismic area is obviously affected by dilatation and shear forces, which is in good agreement with the movement character of the sinistral slip.展开更多
基金supported by the National Natural Science Foundation of China(Grant No.82272841).
文摘Colorectal cancer(CRC)has become a major threat to human health.Recent years,improvements have been seen in the treatment of advanced CRC with immune checkpoint inhibitors(ICIs).Nonetheless,sensitivity to ICIs notably varies among patients,thus greatly limiting clinical applications of ICIs in CRC.Hence,the identification of biomarkers that can accurately distinguish between ICI-sensitive and drug-resistant patients is of utmost importance.Such biomarkers are essential for selecting appropriate treatment regimens and achieving precision therapy(Figure 1).The biomarkers discussed below provide insights into the advancements made in this field(Table 1).
基金Sponsored by the Program for Innovative Research Team in University of Yunnan Province and Major Projects of Yunnan Province(Grant No.2014FC001)
文摘The mathematical models are developed to evaluate the ultimate tensile strength( UTS) and hardness of CNTs / Al2024 composites fabricated by high-energy ball milling. The effects of the preparation variables which are milling time,rotational speed,mass fraction of CNTs and ball to powder ratio on UST and hardness of CNTs / Al2024 composites are investigated. Based on the central composite design( CCD),a quadratic model is developed to correlate the fabrication variables to the UST and hardness. From the analysis of variance( ANOVA),the most influential factor on each experimental design response is identified. The optimum conditions for preparing CNTs / Al2024 composites are found as follows: 1. 53 h milling time,900 r / min rotational speed,mass fraction of CNTs 2. 87% and Ball to powder ratio 25 ∶ 1. The predicted maximum UST and hardness are 273.30 MPa and 261.36 HV,respectively. And the experimental values are 283.25 MPa and256.8 HV,respectively. It is indicated that the predicted UST and hardness after process optimization are found to agree satisfactory with the experimental values.
基金supported by the National Natural Science Foundation of China (Grant Nos. 41404011, 41674010 & 41704001)the Key Research and Development Plan of Hunan Province, China (Grant Nos. 2016SK2002 & 2017RS3001)+2 种基金the Innovation Platform Public Foundation of the Education Department of Hunan Province, China (Grant No. 16K053)the Land and Resource Department Scientific Research Program of Hunan Province, China (Grant No. 2017-13)the Special Funds for Basic Scientific Research Services of Central Higher Education Institutions of Central South University (Grant No. 2017ZZTS772)
文摘Three-dimensional(3 D) co-seismic surface deformations are of great importance to interpret the characteristics of coseismic deformations and to understand the geometries and dynamics of seismogenic faults. In this paper, we propose a method for mapping 3 D co-seismic deformations based on InSAR observations and crustal strain characteristics. In addition, the search strategy of correlation points is optimized by adaptive correlation distance, which greatly improves the applicability of the proposed method in restoring deformations in decorrelation areas. Results of the simulation experiment reveal that the proposed method is superior to conventional methods in both the accuracy and completeness. The proposed method is then applied to map the 3 D co-seismic surface deformations associated with the 2015 MW7.2 Murghab earthquake using ascending and descending ALOS-2 PALSAR-2 images. The results show that the seismogenic fault is the Sarez-Karakul fault(SKF), which is dominated by NE-SW strike slips with an almost vertical dip angle. The north section and the south segment near the epicentre have obvious subsidence along with a southwestward motion in the northwest wall, and the southeast wall has northeast movement and surface uplift trend along the fault zone. The strain field of the earthquake is also obtained by the proposed method. It is found that the crustal block of the seismic area is obviously affected by dilatation and shear forces, which is in good agreement with the movement character of the sinistral slip.