Twisted bilayer graphene(TBG) has been extensively studied because of its novel physical properties and potential application in electronic devices.Here we report the synthesis and characterization of 300 TBG naturall...Twisted bilayer graphene(TBG) has been extensively studied because of its novel physical properties and potential application in electronic devices.Here we report the synthesis and characterization of 300 TBG naturally grown on Cu_(0.75)Ni_(0.25)(111) film and investigate the electronic structure by angle-resolved photoemission spectroscopy.Compared with other substrates,our TBG with a wafer scale is acquired with a shorter growth time.The Fermi velocity and energy gap of Dirac cones of TBG are comparable with those of a monolayer on Cu_(0.85)Ni_(0.15)(111).The signature of moré lattices has not been observed in either the low-energy electron diffraction patterns or the Fermi surface map within experimental resolution,possibly due to different Cu and Ni contents in the substrates enhancing the different couplings between the substrate and the first/second layers and hindering the formation of a quasiperiodic structure.展开更多
目的探究序列相似家族111成员A(family with sequence similarity 111 member A,FAM111A)、FAM111B在泛癌中的肿瘤预后、肿瘤免疫及抗癌药物敏感性。方法在癌症基因体图谱(the cancer genome atlas,TCGA)数据库下载和整理FAM111A和FAM1...目的探究序列相似家族111成员A(family with sequence similarity 111 member A,FAM111A)、FAM111B在泛癌中的肿瘤预后、肿瘤免疫及抗癌药物敏感性。方法在癌症基因体图谱(the cancer genome atlas,TCGA)数据库下载和整理FAM111A和FAM111B在33种肿瘤及11057例样本的mRNA表达水平及临床生存相关数据,下载UCSC Xena数据库中关于33种肿瘤干细胞评分相关数据,下载CellMiner数据库样本的基因表达与药敏结果的数据。对FAM111A与FAM111B在肿瘤中作用进行多方面研究。结果FAM111A和FAM111B的相关性较强(r=0.42,P<0.05),FAM111A和FAM111B在多种肿瘤中普遍高表达(P<0.05),且FAM111A和FAM111B可以预测多种肿瘤患者的生存率(P<0.05)。泛癌免疫亚型分析显示,FAM111A和FAM111B在6种肿瘤免疫亚型显著表达(P<0.001)。FAM111A和FAM111B的表达与免疫评分、间质评分及总评分呈负相关(P<0.05),FAM111A和FAM111B的表达与肿瘤干细胞分化程度呈正相关(P<0.05)。抗癌药物敏感性的分析显示,FAM111A与奈拉滨(Nelarabine)等药物敏感性呈正相关(P<0.05),FAM111基因与卡博替尼(Cabozantinib)等药物敏感性呈负相关(P<0.05)。结论FAM111A和FAM111B在多种肿瘤中有表达差异,并且对生存预后有预测价值,它们在肿瘤免疫微环境、干细胞评分和抗癌药物敏感性方面的研究结果为肿瘤治疗及诊断提供了方向。展开更多
针对顾客产品偏好快速变化对企业分析和预测顾客偏好能力的要求,提出一种面向产品改进的顾客偏好分析与预测方法,首先构建长短期记忆网络模型,预测产品设计迭代期间的情感值和重要度,并计算预测准确度;然后通过基于产品特征情感变化模...针对顾客产品偏好快速变化对企业分析和预测顾客偏好能力的要求,提出一种面向产品改进的顾客偏好分析与预测方法,首先构建长短期记忆网络模型,预测产品设计迭代期间的情感值和重要度,并计算预测准确度;然后通过基于产品特征情感变化模式的产品设计改进模型判断各个特征的变化模式,明确待改进的产品特征及改进优先级;最后以DJI Mini 2无人机的在线评论为例验证了方法的有效性。展开更多
基金Project supported by the National Key R&D Program of China (Grant Nos. 2022YFB3608000 and 2022YFA1204900)the National Natural Science Foundation of China (Grant Nos. 12222413 and 12074205)+2 种基金the Natural Science Foundation of Shanghai (Grant Nos. 23ZR1482200 and 22ZR1473300)the Natural Science Foundation of Zhejiang Province (Grant No. LQ21A040004)the funding of Ningbo University (Grant No. LJ2024003)。
文摘Twisted bilayer graphene(TBG) has been extensively studied because of its novel physical properties and potential application in electronic devices.Here we report the synthesis and characterization of 300 TBG naturally grown on Cu_(0.75)Ni_(0.25)(111) film and investigate the electronic structure by angle-resolved photoemission spectroscopy.Compared with other substrates,our TBG with a wafer scale is acquired with a shorter growth time.The Fermi velocity and energy gap of Dirac cones of TBG are comparable with those of a monolayer on Cu_(0.85)Ni_(0.15)(111).The signature of moré lattices has not been observed in either the low-energy electron diffraction patterns or the Fermi surface map within experimental resolution,possibly due to different Cu and Ni contents in the substrates enhancing the different couplings between the substrate and the first/second layers and hindering the formation of a quasiperiodic structure.
基金National Key R&D Program of China(2021YFB3601600)National Natural Science Foundation of China(61827813,52002368,62121005,62074147,62022081,61974099)+1 种基金Natural Science Foundation of Jilin Province(20230101345JC,20230101107JC,20230508132RC)Youth Innovation Promotion Association of the Chinese Academy of Sciences(Y201945,2019222)。
文摘目的探究序列相似家族111成员A(family with sequence similarity 111 member A,FAM111A)、FAM111B在泛癌中的肿瘤预后、肿瘤免疫及抗癌药物敏感性。方法在癌症基因体图谱(the cancer genome atlas,TCGA)数据库下载和整理FAM111A和FAM111B在33种肿瘤及11057例样本的mRNA表达水平及临床生存相关数据,下载UCSC Xena数据库中关于33种肿瘤干细胞评分相关数据,下载CellMiner数据库样本的基因表达与药敏结果的数据。对FAM111A与FAM111B在肿瘤中作用进行多方面研究。结果FAM111A和FAM111B的相关性较强(r=0.42,P<0.05),FAM111A和FAM111B在多种肿瘤中普遍高表达(P<0.05),且FAM111A和FAM111B可以预测多种肿瘤患者的生存率(P<0.05)。泛癌免疫亚型分析显示,FAM111A和FAM111B在6种肿瘤免疫亚型显著表达(P<0.001)。FAM111A和FAM111B的表达与免疫评分、间质评分及总评分呈负相关(P<0.05),FAM111A和FAM111B的表达与肿瘤干细胞分化程度呈正相关(P<0.05)。抗癌药物敏感性的分析显示,FAM111A与奈拉滨(Nelarabine)等药物敏感性呈正相关(P<0.05),FAM111基因与卡博替尼(Cabozantinib)等药物敏感性呈负相关(P<0.05)。结论FAM111A和FAM111B在多种肿瘤中有表达差异,并且对生存预后有预测价值,它们在肿瘤免疫微环境、干细胞评分和抗癌药物敏感性方面的研究结果为肿瘤治疗及诊断提供了方向。
文摘针对顾客产品偏好快速变化对企业分析和预测顾客偏好能力的要求,提出一种面向产品改进的顾客偏好分析与预测方法,首先构建长短期记忆网络模型,预测产品设计迭代期间的情感值和重要度,并计算预测准确度;然后通过基于产品特征情感变化模式的产品设计改进模型判断各个特征的变化模式,明确待改进的产品特征及改进优先级;最后以DJI Mini 2无人机的在线评论为例验证了方法的有效性。
