Soil temperatures at different depths down the soil profile are important agro-meteorological indicators which are necessary for ecological modeling and precision agricultural activities. In this paper, using time ser...Soil temperatures at different depths down the soil profile are important agro-meteorological indicators which are necessary for ecological modeling and precision agricultural activities. In this paper, using time series of soil temperature(ST) measured at different depths(0, 5, 10, 20, and 40 cm) at agro-meteorological stations in northern China as reference data, ST was estimated from land surface temperature(LST) and normalized difference vegetation index(NDVI) derived from AQUA/TERRA MODIS data, and solar declination(Ds) in univariate and multivariate linear regression models. Results showed that when daytime LST is used as predictor, the coefficient of determination(R^2) values decrease from the 0 cm layer to the 40 cm layer. Additionally, with the use of nighttime LST as predictor, the R^2 values were relatively higher at 5, 10 and 15 cm depths than those at 0, 20 and 40 cm depths. It is further observed that the multiple linear regression models for soil temperature estimation outperform the univariate linear regression models based on the root mean squared errors(RMSEs) and R^2. These results have demonstrated the potential of MODIS data in tandem with the Ds parameter for soil temperature estimation at the upper layers of the soil profile where plant roots grow in. To the best of our knowledge, this is the first attempt at the synergistic use of LST, NDVI and Ds for soil temperature estimation at different depths of the upper layers of the soil profile, representing a significant contribution to soil remote sensing.展开更多
胃癌是发病率及死亡率均较高的消化道恶性肿瘤之一,严重威胁人类的生命健康。血清肿瘤标志物的检测对提高早期胃癌的检出率,改善胃癌的治疗有重要的意义。核酸适配体以其灵敏度高、靶向性强等优势显示出了较强的临床适用性。本研究以双...胃癌是发病率及死亡率均较高的消化道恶性肿瘤之一,严重威胁人类的生命健康。血清肿瘤标志物的检测对提高早期胃癌的检出率,改善胃癌的治疗有重要的意义。核酸适配体以其灵敏度高、靶向性强等优势显示出了较强的临床适用性。本研究以双向热循环消减指数富集式配基系统进化(systematic evolution of ligands by exponential enrichment,SELEX)技术为支持,纳米(琼脂)磁珠材料为载体,胃癌血清及正常人血清为筛选靶标,结合高通量测序技术建立了快速高效的核酸适配体筛选方法。经过19轮双向筛选,获得高重复率的胃癌血清特异性核酸适配体序列10条及正常人血清特异性核酸适配体序列8条。将这些序列分别混合并制成检测试剂A、B,结合实时荧光定量PCR(quantitative real-time PCR,qPCR)技术,对100份临床血清样本进行特异性验证。通过比较分析,建立了快速高效的胃癌血清检测技术。结果显示,核酸适配体G-AP1与N-AP1的二级结构类似于抗体的“Y”型,且呈茎环状。检测试剂A、B对胃癌及正常人血清的检出率分别为92%和88%。表明本技术可以较准确地筛选得到高特异性和强亲和力的核酸适配体,体现了核酸适配体作为新型肿瘤标志物在临床检测及治疗的应用潜力。展开更多
基金supported by the National Natural Science Foundation of China (41671418 and 41371326)the Science and Technology Facilities Council of UK-Newton Agritech Programme (Sentinels of Wheat)the Fundamental Research Funds for the Central Universities, China (2019TC117)
文摘Soil temperatures at different depths down the soil profile are important agro-meteorological indicators which are necessary for ecological modeling and precision agricultural activities. In this paper, using time series of soil temperature(ST) measured at different depths(0, 5, 10, 20, and 40 cm) at agro-meteorological stations in northern China as reference data, ST was estimated from land surface temperature(LST) and normalized difference vegetation index(NDVI) derived from AQUA/TERRA MODIS data, and solar declination(Ds) in univariate and multivariate linear regression models. Results showed that when daytime LST is used as predictor, the coefficient of determination(R^2) values decrease from the 0 cm layer to the 40 cm layer. Additionally, with the use of nighttime LST as predictor, the R^2 values were relatively higher at 5, 10 and 15 cm depths than those at 0, 20 and 40 cm depths. It is further observed that the multiple linear regression models for soil temperature estimation outperform the univariate linear regression models based on the root mean squared errors(RMSEs) and R^2. These results have demonstrated the potential of MODIS data in tandem with the Ds parameter for soil temperature estimation at the upper layers of the soil profile where plant roots grow in. To the best of our knowledge, this is the first attempt at the synergistic use of LST, NDVI and Ds for soil temperature estimation at different depths of the upper layers of the soil profile, representing a significant contribution to soil remote sensing.
文摘胃癌是发病率及死亡率均较高的消化道恶性肿瘤之一,严重威胁人类的生命健康。血清肿瘤标志物的检测对提高早期胃癌的检出率,改善胃癌的治疗有重要的意义。核酸适配体以其灵敏度高、靶向性强等优势显示出了较强的临床适用性。本研究以双向热循环消减指数富集式配基系统进化(systematic evolution of ligands by exponential enrichment,SELEX)技术为支持,纳米(琼脂)磁珠材料为载体,胃癌血清及正常人血清为筛选靶标,结合高通量测序技术建立了快速高效的核酸适配体筛选方法。经过19轮双向筛选,获得高重复率的胃癌血清特异性核酸适配体序列10条及正常人血清特异性核酸适配体序列8条。将这些序列分别混合并制成检测试剂A、B,结合实时荧光定量PCR(quantitative real-time PCR,qPCR)技术,对100份临床血清样本进行特异性验证。通过比较分析,建立了快速高效的胃癌血清检测技术。结果显示,核酸适配体G-AP1与N-AP1的二级结构类似于抗体的“Y”型,且呈茎环状。检测试剂A、B对胃癌及正常人血清的检出率分别为92%和88%。表明本技术可以较准确地筛选得到高特异性和强亲和力的核酸适配体,体现了核酸适配体作为新型肿瘤标志物在临床检测及治疗的应用潜力。
