Moiré heterostructures, where the constituent 2D materials are stacked vertically at a small angle, feature longwavelength interference pattern at the van der Waals interfaces. One typical example is twisted bila...Moiré heterostructures, where the constituent 2D materials are stacked vertically at a small angle, feature longwavelength interference pattern at the van der Waals interfaces. One typical example is twisted bilayer graphene. In this moiré heterostructure, the emergence of moiré superlattices can effectively reconstruct the energy bands into dispersionless flat bands at a special twisted angle(so-called ‘magic angle’).展开更多
Background: Obesity is an emerging leading cause of morbidity and mortality in the US and the relationship between obesity, tobacco, and survival in NSCLC is unclear. Methods: Data (n = 87,631) were obtained from link...Background: Obesity is an emerging leading cause of morbidity and mortality in the US and the relationship between obesity, tobacco, and survival in NSCLC is unclear. Methods: Data (n = 87,631) were obtained from linkage of the 1996-2007 Florida Cancer Data System to the Agency for Health Care Administration database providing procedure and diagnoses codes. Survival time was calculated from date of diagnosis to date of death. Smoking status was categorized as never, current, and former. Obesity (yes/no) = ICD9 code BMI > 30 kg/m2, cachexia = ICD9 code “wasting syndrome”, & non-obese = non-obese & non cachectic. Cox proportional regression models used to predict survival;demographic, clinical, treatment factors, & comorbidities were included in adjusted models with smoking status and obesity as the main factors. Results: The majority of patients (pts) were either former (49%) or current (40%) smokers, & non-obese (88%). 6.8% of pts were obese & 4.8% of pts were cachectic. There were significant differences between survival curves and median survival (months) for obese vs. non-obese vs. cachectic pts. (20 vs 10 vs. 7.9;P < 0.001). Former and current smokers had shorter median survival than never smokers (10.8 & 9.2 vs. 11.9;P < 0.001). Survival rates (%) at 1-yr (60.1 vs. 45.2 vs. 37.7;P < 0.001), 5-yr (30.3 vs. 15.4 vs. 9.5;P < 0.001), 10-yr (18.1 vs. 7.6 vs. 2.7;P < 0.001) were better for obese vs. non-obese and cachectic pts respectively. Independent predictor of worse survival in the unadjusted model was former (HR 1.08;P < 0.001) and current (HR 1.20;P < 0.001) smokers compared to never. Obese and non-obese pts had better survival vs. cachexia pts. (HR 0.52;P < 0.001 and HR 0.80, p < 0.001 respectively) and obese had better survival than Non-obese pts (HR 0.65, p < 0.001). In the adjusted model, controlling for extensive variables and comorbidities, former (HR 1.11;P < 0.001) and current (HR 1.19;P < 0.001) smokers still had significantly worse survival vs. never smokers. Obese patients still had better survival (HR 0.87;P < 0.001, and HR 0.88, p < 0.001) vs. cachexia patients and non-obese respectively, survival rate was not significantly different compare non-obese with cachexia. Conclusions: Our results show that being a former or current smoker worsens survival while obesity improved survival when compared with cachexia patients or Non-obese.展开更多
针对微小卫星姿态确定与控制系统的需求,西北工业大学与荷兰代尔夫特理工大学共同研发了低成本小型无线自动太阳敏感器(Micro Wireless Automatic Sun Sensor,μWASS)。该敏感器采用四象限探测器作为感光部件,使用集成ZigBee通信协议的...针对微小卫星姿态确定与控制系统的需求,西北工业大学与荷兰代尔夫特理工大学共同研发了低成本小型无线自动太阳敏感器(Micro Wireless Automatic Sun Sensor,μWASS)。该敏感器采用四象限探测器作为感光部件,使用集成ZigBee通信协议的低功耗51单片机内核作为处理器,利用三结砷化镓太阳能电池片产生电能为系统供电。在能量储存方面,创造性地使用了超级电容作为储能部件。同时,在系统设计中考虑了空间环境辐射与高低温变化,增加了额外保护电路。μWASS视场角为120°×120°,在整个视场范围内精度小于0.5°(1σ),平均功耗为30 mW。与目前现有的模拟式太阳敏感器相比,μWASS的测量数据通过无线通信方式传输,不需要专门接插件以及外部模拟/数字转换电路,可以实现即插即用,降低了太阳敏感器在卫星上的安装难度,提高了系统可靠性。μWASS实现了太阳敏感器的低成本、微型化和无线化,未来可以广泛用于各种微小卫星。展开更多
基金supported in part by the National Natural Science Foundation of China(62122036,62034004,61921005,12074176 and 61974176)the Strategic Priority Research Program of the Chinese Academy of Sciences(XDB44000000)the Fundamental Research Funds for the Central Universities(020414380203,020414380179)。
文摘Moiré heterostructures, where the constituent 2D materials are stacked vertically at a small angle, feature longwavelength interference pattern at the van der Waals interfaces. One typical example is twisted bilayer graphene. In this moiré heterostructure, the emergence of moiré superlattices can effectively reconstruct the energy bands into dispersionless flat bands at a special twisted angle(so-called ‘magic angle’).
文摘Background: Obesity is an emerging leading cause of morbidity and mortality in the US and the relationship between obesity, tobacco, and survival in NSCLC is unclear. Methods: Data (n = 87,631) were obtained from linkage of the 1996-2007 Florida Cancer Data System to the Agency for Health Care Administration database providing procedure and diagnoses codes. Survival time was calculated from date of diagnosis to date of death. Smoking status was categorized as never, current, and former. Obesity (yes/no) = ICD9 code BMI > 30 kg/m2, cachexia = ICD9 code “wasting syndrome”, & non-obese = non-obese & non cachectic. Cox proportional regression models used to predict survival;demographic, clinical, treatment factors, & comorbidities were included in adjusted models with smoking status and obesity as the main factors. Results: The majority of patients (pts) were either former (49%) or current (40%) smokers, & non-obese (88%). 6.8% of pts were obese & 4.8% of pts were cachectic. There were significant differences between survival curves and median survival (months) for obese vs. non-obese vs. cachectic pts. (20 vs 10 vs. 7.9;P < 0.001). Former and current smokers had shorter median survival than never smokers (10.8 & 9.2 vs. 11.9;P < 0.001). Survival rates (%) at 1-yr (60.1 vs. 45.2 vs. 37.7;P < 0.001), 5-yr (30.3 vs. 15.4 vs. 9.5;P < 0.001), 10-yr (18.1 vs. 7.6 vs. 2.7;P < 0.001) were better for obese vs. non-obese and cachectic pts respectively. Independent predictor of worse survival in the unadjusted model was former (HR 1.08;P < 0.001) and current (HR 1.20;P < 0.001) smokers compared to never. Obese and non-obese pts had better survival vs. cachexia pts. (HR 0.52;P < 0.001 and HR 0.80, p < 0.001 respectively) and obese had better survival than Non-obese pts (HR 0.65, p < 0.001). In the adjusted model, controlling for extensive variables and comorbidities, former (HR 1.11;P < 0.001) and current (HR 1.19;P < 0.001) smokers still had significantly worse survival vs. never smokers. Obese patients still had better survival (HR 0.87;P < 0.001, and HR 0.88, p < 0.001) vs. cachexia patients and non-obese respectively, survival rate was not significantly different compare non-obese with cachexia. Conclusions: Our results show that being a former or current smoker worsens survival while obesity improved survival when compared with cachexia patients or Non-obese.
