由于沅水水系五强溪水库流域面积大,流量控制站少,且洪水进入库区后,洪水波的传播方式变化较大,因此五强溪水库近坝区的洪水预报难度大。为提高五强溪库区洪水预报精度,采用XAJ-DCH模型(Xin′anjiang Digital Channel Model)对近坝区201...由于沅水水系五强溪水库流域面积大,流量控制站少,且洪水进入库区后,洪水波的传播方式变化较大,因此五强溪水库近坝区的洪水预报难度大。为提高五强溪库区洪水预报精度,采用XAJ-DCH模型(Xin′anjiang Digital Channel Model)对近坝区2016~2020年间13场洪水进行模拟,模型河道汇流分别采用了非线性水库法和马斯京根法,根据两种汇流方法的特点制定了两种不同的洪水预报方案。模拟结果表明:XAJ-DCH模型中两种河道演算方法均表现良好且简单实用,13场洪水的确定性系数基本位于0.7以上。非线性水库方法相比于马斯京根法考虑了河段断面情况以及水力特性,能够体现洪水运动的时空变化,且只需要率定河道糙率,其他参数如河道坡降、河宽以及河段长均可根据数字高程模型进行估计;马斯京根法需要率定4个河道参数,但马斯京根法模拟结果相比于非线性水库方法稍好。研究成果可为科学有效开展库区洪水预报、提高预报精度提供参考。展开更多
1,3,5-Trisubstituted pyrazolines are rapidly and conveniently oxidized to their corresponding pyrazoles by 1,3-dichloro-5,5- dimethylhydantoin（DCH） in solution and solvent-free conditions under microwave irradiation...1,3,5-Trisubstituted pyrazolines are rapidly and conveniently oxidized to their corresponding pyrazoles by 1,3-dichloro-5,5- dimethylhydantoin（DCH） in solution and solvent-free conditions under microwave irradiation.The presence of silica gel as a supporting agent is shown to be effective in reducing the reaction times and increasing the yields.展开更多
区域冷热联供系统(District Cooling and Heating System,"DCHS")是一种在区域层面整合与管理能量需求的技术,它能有效的节省资金成本并起到节能减排的作用。本文将讨论DCHS基于市场实施的五个要素:整体规划、规章制度、技术...区域冷热联供系统(District Cooling and Heating System,"DCHS")是一种在区域层面整合与管理能量需求的技术,它能有效的节省资金成本并起到节能减排的作用。本文将讨论DCHS基于市场实施的五个要素:整体规划、规章制度、技术设计、能源管理和开发模式,并提出一个基于为所有利益相关者获得多赢为原则且构架良好的商业模式,可以提高DCHS在中国的市场接受度,推广有利低碳社会创建的先进能源管理系统。展开更多
This focus issue Digital and Computer Generated Holography （DCH） combines the contributions from digital holography （DH） and computer-generated holography （CGH） into a single issue. We have classified the papers...This focus issue Digital and Computer Generated Holography （DCH） combines the contributions from digital holography （DH） and computer-generated holography （CGH） into a single issue. We have classified the papers into four topics： holographic microscopy, computer-generated holography,展开更多
Traditional security systems are exposed to many various attacks,which represents a major challenge for the spread of the Internet in the future.Innovative techniques have been suggested for detecting attacks using ma...Traditional security systems are exposed to many various attacks,which represents a major challenge for the spread of the Internet in the future.Innovative techniques have been suggested for detecting attacks using machine learning and deep learning.The significant advantage of deep learning is that it is highly efficient,but it needs a large training time with a lot of data.Therefore,in this paper,we present a new feature reduction strategy based on Distributed Cumulative Histograms(DCH)to distinguish between dataset features to locate the most effective features.Cumulative histograms assess the dataset instance patterns of the applied features to identify the most effective attributes that can significantly impact the classification results.Three different models for detecting attacks using Convolutional Neural Network(CNN)and Long Short-Term Memory Network(LSTM)are also proposed.The accuracy test of attack detection using the hybrid model was 98.96%on the UNSW-NP15 dataset.The proposed model is compared with wrapper-based and filter-based Feature Selection(FS)models.The proposed model reduced classification time and increased detection accuracy.展开更多
An immunosuppressive animal model induced by physical stress that forced mice to swim in cold water(14±1℃)and the restorative effect of Tremella polysac charide(TP)on the suppressed immune function by stress wer...An immunosuppressive animal model induced by physical stress that forced mice to swim in cold water(14±1℃)and the restorative effect of Tremella polysac charide(TP)on the suppressed immune function by stress were studied in mice.It was found that the spleen plaque forming cell(PFC)response to sheep red blood cells,delayed cuta- neous hypersensitivity(DCH)induced by dinitrochlorobenzene and the lymphocyte prolifer- ation stimulated by concanavalin A(Con A)were significantly decreased in stressed mice. In addition.the maximal decrease of PFC was reached in 9-12 days after stress.A- drenolectomy could not affect the decrease of PFC in stressed mice.TP(200.400mg/kg) ig for 8-14 days significantly restored the PFC.DCH and lymphocyte proliferation to nor- mal level in stressed mice.展开更多
文摘由于沅水水系五强溪水库流域面积大,流量控制站少,且洪水进入库区后,洪水波的传播方式变化较大,因此五强溪水库近坝区的洪水预报难度大。为提高五强溪库区洪水预报精度,采用XAJ-DCH模型(Xin′anjiang Digital Channel Model)对近坝区2016~2020年间13场洪水进行模拟,模型河道汇流分别采用了非线性水库法和马斯京根法,根据两种汇流方法的特点制定了两种不同的洪水预报方案。模拟结果表明:XAJ-DCH模型中两种河道演算方法均表现良好且简单实用,13场洪水的确定性系数基本位于0.7以上。非线性水库方法相比于马斯京根法考虑了河段断面情况以及水力特性,能够体现洪水运动的时空变化,且只需要率定河道糙率,其他参数如河道坡降、河宽以及河段长均可根据数字高程模型进行估计;马斯京根法需要率定4个河道参数,但马斯京根法模拟结果相比于非线性水库方法稍好。研究成果可为科学有效开展库区洪水预报、提高预报精度提供参考。
文摘1,3,5-Trisubstituted pyrazolines are rapidly and conveniently oxidized to their corresponding pyrazoles by 1,3-dichloro-5,5- dimethylhydantoin（DCH） in solution and solvent-free conditions under microwave irradiation.The presence of silica gel as a supporting agent is shown to be effective in reducing the reaction times and increasing the yields.
文摘区域冷热联供系统(District Cooling and Heating System,"DCHS")是一种在区域层面整合与管理能量需求的技术,它能有效的节省资金成本并起到节能减排的作用。本文将讨论DCHS基于市场实施的五个要素:整体规划、规章制度、技术设计、能源管理和开发模式,并提出一个基于为所有利益相关者获得多赢为原则且构架良好的商业模式,可以提高DCHS在中国的市场接受度,推广有利低碳社会创建的先进能源管理系统。
文摘This focus issue Digital and Computer Generated Holography （DCH） combines the contributions from digital holography （DH） and computer-generated holography （CGH） into a single issue. We have classified the papers into four topics： holographic microscopy, computer-generated holography,
文摘Traditional security systems are exposed to many various attacks,which represents a major challenge for the spread of the Internet in the future.Innovative techniques have been suggested for detecting attacks using machine learning and deep learning.The significant advantage of deep learning is that it is highly efficient,but it needs a large training time with a lot of data.Therefore,in this paper,we present a new feature reduction strategy based on Distributed Cumulative Histograms(DCH)to distinguish between dataset features to locate the most effective features.Cumulative histograms assess the dataset instance patterns of the applied features to identify the most effective attributes that can significantly impact the classification results.Three different models for detecting attacks using Convolutional Neural Network(CNN)and Long Short-Term Memory Network(LSTM)are also proposed.The accuracy test of attack detection using the hybrid model was 98.96%on the UNSW-NP15 dataset.The proposed model is compared with wrapper-based and filter-based Feature Selection(FS)models.The proposed model reduced classification time and increased detection accuracy.
文摘An immunosuppressive animal model induced by physical stress that forced mice to swim in cold water(14±1℃)and the restorative effect of Tremella polysac charide(TP)on the suppressed immune function by stress were studied in mice.It was found that the spleen plaque forming cell(PFC)response to sheep red blood cells,delayed cuta- neous hypersensitivity(DCH)induced by dinitrochlorobenzene and the lymphocyte prolifer- ation stimulated by concanavalin A(Con A)were significantly decreased in stressed mice. In addition.the maximal decrease of PFC was reached in 9-12 days after stress.A- drenolectomy could not affect the decrease of PFC in stressed mice.TP(200.400mg/kg) ig for 8-14 days significantly restored the PFC.DCH and lymphocyte proliferation to nor- mal level in stressed mice.
