A modified one-dimensional transient hygrothermal model for multilayer wall was proposed using air humidity ratio and temperature as the driving potentials.The solution for the governing equations was obtained numeric...A modified one-dimensional transient hygrothermal model for multilayer wall was proposed using air humidity ratio and temperature as the driving potentials.The solution for the governing equations was obtained numerically by implementing the finite-difference scheme.To evaluate the accuracy of the model,a test system was built up to measure relative humidity and temperature within a porous wall and compare with the prediction of the model.The prediction results have good agreement with the experimental results.For the interface close to indoor side,the maximum deviation of temperature between calculated and test data is 1.87 K,and the average deviation is 0.95 K;the maximum deviation of relative humidity is 11.4%,and the average deviation is 5.7%.For the interface close to outdoor side,the maximum deviation of temperature between prediction and measurement is 1.78 K,and the average deviation is 1.1 K;the maximum deviation of relative humidity is 9.9%,and the average deviation is 4.2%.展开更多
目的以桂枝茯苓胶囊(Guizhi Fuling Capsules,GFC)和天舒胶囊(Tianshu Capsule,TC)为研究对象,将近红外光谱(near-infrared spectroscopy,NIRS)技术与机器学习算法结合,建立快速检测2种制剂中间体水分的方法。方法采集GFC总混颗粒和TC...目的以桂枝茯苓胶囊(Guizhi Fuling Capsules,GFC)和天舒胶囊(Tianshu Capsule,TC)为研究对象,将近红外光谱(near-infrared spectroscopy,NIRS)技术与机器学习算法结合,建立快速检测2种制剂中间体水分的方法。方法采集GFC总混颗粒和TC总混颗粒的NIRS,考察不同的预处理方法、变量筛选方法及算法对模型的影响,筛选最佳建模条件,并对2种中间体建立1个水分NIRS通用定量模型。结果对同一中间体建立定量模型时,广义路径追踪(generalized path seeker,GPS)算法均优于偏最小二乘(partial least square,PLS)算法;GPS通用模型与PLS通用模型相比,预测性能更高,验证集相对偏差(relative standard errors of prediction,RSEP)由3.17%降至3.03%,性能偏差比(ratio of performance to deviation,RPD)由4.83升至5.05,可用于水分的预测,且与独立模型的预测性能相差不大。结论GPS算法结合NIRS技术建立的通用定量模型,可快速、准确地检测2种制剂中间体的水分。展开更多
Among the Z-pole observables, AFB^（0,b） and Ae display moderately large standard deviations from the Standard Model predictions. This result can be interpreted as independent experimental evidence for new physics be...Among the Z-pole observables, AFB^（0,b） and Ae display moderately large standard deviations from the Standard Model predictions. This result can be interpreted as independent experimental evidence for new physics beyond the SM, even if the 125 GeV Higgs-like boson at the LHC is ultimately confirmed as the SM Higgs. A recalculated global electroweak fit with a model-independent Z＇ shows that Z＇ can simultaneously suppress AFB（0,b） and Ae at the Z-pole, and reduce the largest deviation from 2.6σ in SM to 1.0σ in our scenario. The Z＇ fitting results also support a negative S parameter.展开更多
基金Project(51078127) supported by the National Natural Science Foundation of ChinaProject(JJ201109091631) supported by the Foundation for Young Scientists of Jiangxi Education Department, China
文摘A modified one-dimensional transient hygrothermal model for multilayer wall was proposed using air humidity ratio and temperature as the driving potentials.The solution for the governing equations was obtained numerically by implementing the finite-difference scheme.To evaluate the accuracy of the model,a test system was built up to measure relative humidity and temperature within a porous wall and compare with the prediction of the model.The prediction results have good agreement with the experimental results.For the interface close to indoor side,the maximum deviation of temperature between calculated and test data is 1.87 K,and the average deviation is 0.95 K;the maximum deviation of relative humidity is 11.4%,and the average deviation is 5.7%.For the interface close to outdoor side,the maximum deviation of temperature between prediction and measurement is 1.78 K,and the average deviation is 1.1 K;the maximum deviation of relative humidity is 9.9%,and the average deviation is 4.2%.
文摘目的以桂枝茯苓胶囊(Guizhi Fuling Capsules,GFC)和天舒胶囊(Tianshu Capsule,TC)为研究对象,将近红外光谱(near-infrared spectroscopy,NIRS)技术与机器学习算法结合,建立快速检测2种制剂中间体水分的方法。方法采集GFC总混颗粒和TC总混颗粒的NIRS,考察不同的预处理方法、变量筛选方法及算法对模型的影响,筛选最佳建模条件,并对2种中间体建立1个水分NIRS通用定量模型。结果对同一中间体建立定量模型时,广义路径追踪(generalized path seeker,GPS)算法均优于偏最小二乘(partial least square,PLS)算法;GPS通用模型与PLS通用模型相比,预测性能更高,验证集相对偏差(relative standard errors of prediction,RSEP)由3.17%降至3.03%,性能偏差比(ratio of performance to deviation,RPD)由4.83升至5.05,可用于水分的预测,且与独立模型的预测性能相差不大。结论GPS算法结合NIRS技术建立的通用定量模型,可快速、准确地检测2种制剂中间体的水分。
基金Supported by National Natural Science Foundation of China(NSFC)under Grant Nos.11147192,11075085,and 11005084Specialized Research Fund for the Doctoral Program of High Education of China No.20110002110010+1 种基金Fundamental Research Funds for the Central UniversitiesScientific Research Foundation of Guangxi University under Grant No.XBZ100686
文摘Among the Z-pole observables, AFB^（0,b） and Ae display moderately large standard deviations from the Standard Model predictions. This result can be interpreted as independent experimental evidence for new physics beyond the SM, even if the 125 GeV Higgs-like boson at the LHC is ultimately confirmed as the SM Higgs. A recalculated global electroweak fit with a model-independent Z＇ shows that Z＇ can simultaneously suppress AFB（0,b） and Ae at the Z-pole, and reduce the largest deviation from 2.6σ in SM to 1.0σ in our scenario. The Z＇ fitting results also support a negative S parameter.
