目的基于真实世界研究探讨全国名中医庞国明教授纯中医缓解2型糖尿病(T2DM)临床特征,为临床实践提供借鉴和参考。方法采集2020年1月—2022年10月开封市中医院庞国明教授工作室就诊的符合T2DM诊断,并采用纯中医“三辨诊疗模式”“序贯三...目的基于真实世界研究探讨全国名中医庞国明教授纯中医缓解2型糖尿病(T2DM)临床特征,为临床实践提供借鉴和参考。方法采集2020年1月—2022年10月开封市中医院庞国明教授工作室就诊的符合T2DM诊断,并采用纯中医“三辨诊疗模式”“序贯三法”治疗方案且达到缓解标准的T2DM患者共计30例。采集患者的人口学资料、中医证型及纯中医治疗前、治疗达标停药时、缓解时患者的体质量指数、血生化检验指标,计算纯中医治疗时长,使用稳态模型评估法评估胰岛素抵抗指数和胰岛β细胞功能指数。分析患者的临床特征、中医证型分布,比较纯中医治疗前与治疗达标停药时、缓解时各项指标的差异。结果患者平均年龄(50.77±9.77)岁;平均病程中位数22(10.5,39.0)个月;平均体质量指数中位数27.75(25.87,28.80)kg/m^(2),中医证型分布情况:痰浊中阻证频率最高,其次气阴两虚证。与治疗前比较,患者停药时空腹血糖(FPG)、餐后1 h血糖(1 h PG)、2 h PG、3 h PG、空腹胰高血糖素(FGC)、1 h GC、2 h GC、3 h GC、糖化血红蛋白(HbA1c)、果糖胺(FMN)、胰岛素抵抗指数(HOMA-IR)、体质量指数(BMI)、总胆固醇(TC)水平明显下降,差异有统计学意义(P<0.05),1 h C肽(CP)、胰岛β细胞功能指数(HOMA-β)水平较前升高,差异有统计学意义(P<0.05),与治疗前比较,缓解时FPG、1 h PG、2 h PG、1 h GC、2 h GC、HbA1c、BMI、3 h PG、FGC、3 h GC、TC、HOMA-IR水平明显下降,差异有统计学意义(P<0.05),HOMA-β、1 h CP、高密度脂蛋白胆固醇(HDL-C)水平较前升高,差异有统计学意义(P<0.05)。结论纯中医缓解T2DM患者以糖尿病病程<5年,超重或肥胖为主,纯中医治疗时长多集中在3~12个月,中医证型以痰浊中阻证为主。纯中医可能通过降低体质量,改善胰岛素抵抗,改善胰岛β细胞功能,降低胰高血糖素等途径实现缓解T2DM。展开更多
The Junggar Basin in the northern part of Xinjiang is the second largest inland basin in China. It is located between the Altai and Tianshan Mountains, which is bounded by the Junggar bounded Mountain in the northwest...The Junggar Basin in the northern part of Xinjiang is the second largest inland basin in China. It is located between the Altai and Tianshan Mountains, which is bounded by the Junggar bounded Mountain in the northwest, the Altai Mountains in the northeast and the North Tianshan Mountains in the south. It belongs to a triangular close inland basin, and extends 700 km in EW and 370 km in NS, covering an area of 38x104 km2. The elevation is about 400 m, high in the east （about 1000 m） and low in the west. The central basin is the Guerbantonggute desert, which accounts for 36.9% of the total basin area.展开更多
To improve the recognition ability of communication jamming signals,Siamese Neural Network-based Open World Recognition(SNNOWR)is proposed.The algorithm can recognize known jamming classes,detect new(unknown)jamming c...To improve the recognition ability of communication jamming signals,Siamese Neural Network-based Open World Recognition(SNNOWR)is proposed.The algorithm can recognize known jamming classes,detect new(unknown)jamming classes,and unsupervised cluseter new classes.The network of SNN-OWR is trained supervised with paired input data consisting of two samples from a known dataset.On the one hand,the network is required to have the ability to distinguish whether two samples are from the same class.On the other hand,the latent distribution of known class is forced to approach their own unique Gaussian distribution,which is prepared for the subsequent open set testing.During the test,the unknown class detection process based on Gaussian probability density function threshold is designed,and an unsupervised clustering algorithm of the unknown jamming is realized by using the prior knowledge of known classes.The simulation results show that when the jamming-to-noise ratio is more than 0d B,the accuracy of SNN-OWR algorithm for known jamming classes recognition,unknown jamming detection and unsupervised clustering of unknown jamming is about 95%.This indicates that the SNN-OWR algorithm can make the effect of the recognition of unknown jamming be almost the same as that of known jamming.展开更多
文摘目的基于真实世界研究探讨全国名中医庞国明教授纯中医缓解2型糖尿病(T2DM)临床特征,为临床实践提供借鉴和参考。方法采集2020年1月—2022年10月开封市中医院庞国明教授工作室就诊的符合T2DM诊断,并采用纯中医“三辨诊疗模式”“序贯三法”治疗方案且达到缓解标准的T2DM患者共计30例。采集患者的人口学资料、中医证型及纯中医治疗前、治疗达标停药时、缓解时患者的体质量指数、血生化检验指标,计算纯中医治疗时长,使用稳态模型评估法评估胰岛素抵抗指数和胰岛β细胞功能指数。分析患者的临床特征、中医证型分布,比较纯中医治疗前与治疗达标停药时、缓解时各项指标的差异。结果患者平均年龄(50.77±9.77)岁;平均病程中位数22(10.5,39.0)个月;平均体质量指数中位数27.75(25.87,28.80)kg/m^(2),中医证型分布情况:痰浊中阻证频率最高,其次气阴两虚证。与治疗前比较,患者停药时空腹血糖(FPG)、餐后1 h血糖(1 h PG)、2 h PG、3 h PG、空腹胰高血糖素(FGC)、1 h GC、2 h GC、3 h GC、糖化血红蛋白(HbA1c)、果糖胺(FMN)、胰岛素抵抗指数(HOMA-IR)、体质量指数(BMI)、总胆固醇(TC)水平明显下降,差异有统计学意义(P<0.05),1 h C肽(CP)、胰岛β细胞功能指数(HOMA-β)水平较前升高,差异有统计学意义(P<0.05),与治疗前比较,缓解时FPG、1 h PG、2 h PG、1 h GC、2 h GC、HbA1c、BMI、3 h PG、FGC、3 h GC、TC、HOMA-IR水平明显下降,差异有统计学意义(P<0.05),HOMA-β、1 h CP、高密度脂蛋白胆固醇(HDL-C)水平较前升高,差异有统计学意义(P<0.05)。结论纯中医缓解T2DM患者以糖尿病病程<5年,超重或肥胖为主,纯中医治疗时长多集中在3~12个月,中医证型以痰浊中阻证为主。纯中医可能通过降低体质量,改善胰岛素抵抗,改善胰岛β细胞功能,降低胰高血糖素等途径实现缓解T2DM。
文摘The Junggar Basin in the northern part of Xinjiang is the second largest inland basin in China. It is located between the Altai and Tianshan Mountains, which is bounded by the Junggar bounded Mountain in the northwest, the Altai Mountains in the northeast and the North Tianshan Mountains in the south. It belongs to a triangular close inland basin, and extends 700 km in EW and 370 km in NS, covering an area of 38x104 km2. The elevation is about 400 m, high in the east （about 1000 m） and low in the west. The central basin is the Guerbantonggute desert, which accounts for 36.9% of the total basin area.
基金supported by the National Natural Science Foundation of China(U19B2016)Zhejiang Provincial Key Lab of Data Storage and Transmission Technology,Hangzhou Dianzi University。
文摘To improve the recognition ability of communication jamming signals,Siamese Neural Network-based Open World Recognition(SNNOWR)is proposed.The algorithm can recognize known jamming classes,detect new(unknown)jamming classes,and unsupervised cluseter new classes.The network of SNN-OWR is trained supervised with paired input data consisting of two samples from a known dataset.On the one hand,the network is required to have the ability to distinguish whether two samples are from the same class.On the other hand,the latent distribution of known class is forced to approach their own unique Gaussian distribution,which is prepared for the subsequent open set testing.During the test,the unknown class detection process based on Gaussian probability density function threshold is designed,and an unsupervised clustering algorithm of the unknown jamming is realized by using the prior knowledge of known classes.The simulation results show that when the jamming-to-noise ratio is more than 0d B,the accuracy of SNN-OWR algorithm for known jamming classes recognition,unknown jamming detection and unsupervised clustering of unknown jamming is about 95%.This indicates that the SNN-OWR algorithm can make the effect of the recognition of unknown jamming be almost the same as that of known jamming.
