The research progress on the development and application of new natural tobacco humectants was reviewed in the paper.Plants,animals and microbes contain special moisturizing substances,showing distinctive advantages a...The research progress on the development and application of new natural tobacco humectants was reviewed in the paper.Plants,animals and microbes contain special moisturizing substances,showing distinctive advantages and outstanding effects in respect of the tobacco moisture content maintaining and cigarette suction comfort promoting.The development necessity,major types,functional mechanism and influence on cigarette quality of new natural tobacco humectants development were compared and elaborated.Additionally,the prospect of new natural tobacco humectants development and application was forecasted.展开更多
Natural products have been implemented in medicine through use as herbal medications, chemical compound extraction for prescription medication, or a natural source of food to fight various infections and diseases. Gen...Natural products have been implemented in medicine through use as herbal medications, chemical compound extraction for prescription medication, or a natural source of food to fight various infections and diseases. Genetics has played a role in identifying various interactions between existing drugs and side effects. In addition, various food allergies have been identified with children in recent years, suggesting genetic associations between certain populations carrying specific genetic alleles. The recent availability of genomic data and our increased understanding of the effects of genetic variations permit a quantitative examination of the contribution of genetic variation to efficacy or toxicity of compounds derived from natural sources. The identification of target molecules relevant for diseases allows screening for natural products capable of inhibiting targets which can lead to the development of rational treatment of various diseases including neurobiological disorders, cancer, osteoporosis, and cardiovascular diseases. This allows for more opportunities to predict the response of individual patients. Identification of genetic variations that arose as a consequence of naturally occurring compounds will help identify gene alleles, or protein ligands that can affect the pharmacodynamic and pharmacokinetics of the natural products in question. In addition, diet modification and precautions to food products can be identified to help consumers limit or increase certain food intake. Understanding the molecular mechanisms underlying these interactions and their modification by genetic variation is expected to result in the development of new drugs that optimize individual health. We expect that strategies for individualized therapies will lead to improved results for patients.展开更多
针对烟草领域中问句意图识别存在的特征稀疏、术语繁多和捕捉文本内部的语义关联困难等问题,提出了一种基于SBERT-Attention-LDA(Sentence-bidirectional encoder representational from transformers-Attention mechanism-Latent diric...针对烟草领域中问句意图识别存在的特征稀疏、术语繁多和捕捉文本内部的语义关联困难等问题,提出了一种基于SBERT-Attention-LDA(Sentence-bidirectional encoder representational from transformers-Attention mechanism-Latent dirichlet allocation)与ML-LSTM(Multi layers-Long short term memory)特征融合的问句意图识别方法。该方法首先基于SBERT预训练模型和Attention机制对烟草问句进行动态编码,转换为富含语义信息的特征向量,同时利用LDA模型建模出问句的主题向量,捕捉问句中的主题信息;然后通过更改后的模型级特征融合方法ML-LSTM获得具有更为完整、准确问句语义的联合特征表示;再使用3通道的卷积神经网络(Convolutional neural network,CNN)提取问句混合语义表示中隐藏特征,输入到全连接层和Softmax函数中实现对问句意图的分类。基于烟草行业权威网站上获取的数据集开展了实验验证,实验结果表明,所提方法相比其他几种深度学习结合注意力机制的方法精确率、召回率和F1值上有显著提升,与BERT和ERNIE(Enhanced representation through knowledge integration and embedding)-CNN模型相比提升明显,F1值分别提升2.07、2.88个百分点。展开更多
To address the energy shortage and meet the requirements of environmental protection policies,the feasibility of premixed fuel 1(natural gas(NG),syngas,and hydrogen)and premixed fuel 2(NG and hydrogen)in the tobacco c...To address the energy shortage and meet the requirements of environmental protection policies,the feasibility of premixed fuel 1(natural gas(NG),syngas,and hydrogen)and premixed fuel 2(NG and hydrogen)in the tobacco curing system was studied.First,according to the law of conservation of energy and mass,a tobacco leaf curing system model was established.Then,the interchangeability index of the premixed fuels was analyzed,and their volume ratios were obtained.Finally,a numerical simulation analysis of the premixed fuel combustion was conducted based on the indicators of emission,temperature,and economy.On this basis,the comprehensive performance indexes of the system composed of different premixed fuels were evaluated.The results obtained indicate that with the increase in the hydrogen volume ratio in premixed fuel 1,NO_(X) emissions will gradually increase.Moreover,with the increase in the hydrogen volume ratio in premixed fuel 2,CO emissions will gradually decrease.Because premixed fuel 2 contains more hydrogen than premixed fuel 1,CO emissions are reduced by 9.39%and 16.72%as compared with the NG system when the volume ratio of NG to hydrogen is 95∶5 and 90∶10,but the NO emissions of the latter are beyond the acceptable range.Finally,the overall performance is good when the volume ratio of NG to hydrogen is 95∶5,and the volume ratio of NG to syngas to hydrogen is 90∶5∶5.展开更多
基金Supported by the Fund for the Open Project of Anhui Key Laboratory of Tobacco Chemistry (No.W2015JSKF0493 and W2015JSKF0492)the China Postdoctoral Science Foundation (No.2015T80646 and 2013M531501)the National Natural Science Foundation of China (No.31400049)
文摘The research progress on the development and application of new natural tobacco humectants was reviewed in the paper.Plants,animals and microbes contain special moisturizing substances,showing distinctive advantages and outstanding effects in respect of the tobacco moisture content maintaining and cigarette suction comfort promoting.The development necessity,major types,functional mechanism and influence on cigarette quality of new natural tobacco humectants development were compared and elaborated.Additionally,the prospect of new natural tobacco humectants development and application was forecasted.
文摘Natural products have been implemented in medicine through use as herbal medications, chemical compound extraction for prescription medication, or a natural source of food to fight various infections and diseases. Genetics has played a role in identifying various interactions between existing drugs and side effects. In addition, various food allergies have been identified with children in recent years, suggesting genetic associations between certain populations carrying specific genetic alleles. The recent availability of genomic data and our increased understanding of the effects of genetic variations permit a quantitative examination of the contribution of genetic variation to efficacy or toxicity of compounds derived from natural sources. The identification of target molecules relevant for diseases allows screening for natural products capable of inhibiting targets which can lead to the development of rational treatment of various diseases including neurobiological disorders, cancer, osteoporosis, and cardiovascular diseases. This allows for more opportunities to predict the response of individual patients. Identification of genetic variations that arose as a consequence of naturally occurring compounds will help identify gene alleles, or protein ligands that can affect the pharmacodynamic and pharmacokinetics of the natural products in question. In addition, diet modification and precautions to food products can be identified to help consumers limit or increase certain food intake. Understanding the molecular mechanisms underlying these interactions and their modification by genetic variation is expected to result in the development of new drugs that optimize individual health. We expect that strategies for individualized therapies will lead to improved results for patients.
文摘针对烟草领域中问句意图识别存在的特征稀疏、术语繁多和捕捉文本内部的语义关联困难等问题,提出了一种基于SBERT-Attention-LDA(Sentence-bidirectional encoder representational from transformers-Attention mechanism-Latent dirichlet allocation)与ML-LSTM(Multi layers-Long short term memory)特征融合的问句意图识别方法。该方法首先基于SBERT预训练模型和Attention机制对烟草问句进行动态编码,转换为富含语义信息的特征向量,同时利用LDA模型建模出问句的主题向量,捕捉问句中的主题信息;然后通过更改后的模型级特征融合方法ML-LSTM获得具有更为完整、准确问句语义的联合特征表示;再使用3通道的卷积神经网络(Convolutional neural network,CNN)提取问句混合语义表示中隐藏特征,输入到全连接层和Softmax函数中实现对问句意图的分类。基于烟草行业权威网站上获取的数据集开展了实验验证,实验结果表明,所提方法相比其他几种深度学习结合注意力机制的方法精确率、召回率和F1值上有显著提升,与BERT和ERNIE(Enhanced representation through knowledge integration and embedding)-CNN模型相比提升明显,F1值分别提升2.07、2.88个百分点。
基金National Key Research and Development Program of China(No.2019YFE0100100-08).
文摘To address the energy shortage and meet the requirements of environmental protection policies,the feasibility of premixed fuel 1(natural gas(NG),syngas,and hydrogen)and premixed fuel 2(NG and hydrogen)in the tobacco curing system was studied.First,according to the law of conservation of energy and mass,a tobacco leaf curing system model was established.Then,the interchangeability index of the premixed fuels was analyzed,and their volume ratios were obtained.Finally,a numerical simulation analysis of the premixed fuel combustion was conducted based on the indicators of emission,temperature,and economy.On this basis,the comprehensive performance indexes of the system composed of different premixed fuels were evaluated.The results obtained indicate that with the increase in the hydrogen volume ratio in premixed fuel 1,NO_(X) emissions will gradually increase.Moreover,with the increase in the hydrogen volume ratio in premixed fuel 2,CO emissions will gradually decrease.Because premixed fuel 2 contains more hydrogen than premixed fuel 1,CO emissions are reduced by 9.39%and 16.72%as compared with the NG system when the volume ratio of NG to hydrogen is 95∶5 and 90∶10,but the NO emissions of the latter are beyond the acceptable range.Finally,the overall performance is good when the volume ratio of NG to hydrogen is 95∶5,and the volume ratio of NG to syngas to hydrogen is 90∶5∶5.
