The Asia Pacific Economic Cooperation(APEC)comprises of the world’s largest producers and consumers of energy,accounting for 60.3%of primary energy supply,50.0%of final energy consumption,and 63.0%of electricity gene...The Asia Pacific Economic Cooperation(APEC)comprises of the world’s largest producers and consumers of energy,accounting for 60.3%of primary energy supply,50.0%of final energy consumption,and 63.0%of electricity generation worldwide in 2016.This study discusses the primary energy supply and final energy consumption situation of the APEC and analyzes the characteristics of electricity in terms of its generation structure based on fuel,consumption by the end-use sector,access to electricity,and so on.The renewable energy and electricity generation projections up to 2030 based on trends in the APEC are also assessed.It is seen that electricity in final energy consumption has been on an upward trend,with an average annual growth rate of about 4.8%during 2006–2016,in 2016,its share reached 24.3%.The industry sector consumes the largest share of electricity,accounting for about 45.5%in 2016.Coal supply and consumption peaked in 2011 and then began to decline,while renewable energy has been on an upward trend,with its primary energy supply share increasing from 4.80%in 2010 to 6.29%in 2016.Solar photovoltaic and onshore wind power are on the verge of costing less than the operating cost of existing coal-fired plants in 2018.In the APEC’s target scenario in which renewable energy is doubled,the predicted net growth from 2017 to 2030 of solar,wind,and hydro power is about 963,497,and 157 GW,respectively,and to reach this target,the APEC economies need to accelerate renewable energy development.展开更多
An increased amount of DNA fragme ntation in the spermatozoa(SDF)is linked to male in fertility.The Sperm Chromati n Structure Assay(SCSA)is widely used for analysis of SDF.However,the current software(SCSASoftR)linke...An increased amount of DNA fragme ntation in the spermatozoa(SDF)is linked to male in fertility.The Sperm Chromati n Structure Assay(SCSA)is widely used for analysis of SDF.However,the current software(SCSASoftR)linked to this assay is licensed and often located within larger diagnostic centers.In this study,we present a protocol for using other types of software than SCSASoftR to determine the SDF index(DFI)with clinical relevance.This protocol is engineered after collect!ng and analyzing 254 samples from fertility patients and sperm donors over a 15-month period.DFI is analyzed using a strict protocol where the spermatozoa are treated with a strong acid(pH 1.2)followed by acridine orange.DFI is determined by a standard flow cytometric software,FACSDiva 6.1.3.Analysis of the outcome of the fertility treatment is included for 137 patients receiving either intrauterine inseminations(IUI)or timed coitus(TC).The results show that the chance of pregnancy decli nes as DFI in creases.We also found that the male DFI affects the chanee of pregnancy independent of the female age.We have shown that a standard flow cytometric software can be used when determi ning a clinical releva nt DFI.These findings are a sign ificant step toward impleme nting the an alysis as a part of the routi ne,in・house diag no sing of the male fertility patient and subseque ntly optimizing the treatme nt course of the couple with reduced human and financial costs.展开更多
Objective AP2/ERF(APETALA2/ethylene-responsive factor)superfamily is one of the largest gene families in plants and has been reported to participate in various biological processes,such as the regulation of biosynthes...Objective AP2/ERF(APETALA2/ethylene-responsive factor)superfamily is one of the largest gene families in plants and has been reported to participate in various biological processes,such as the regulation of biosynthesis of active lignan.However,few studies have investigated the genome-wide role of the AP2/ERF superfamily in Isatis indigotica.This study establishes a complete picture of the AP2/ERF superfamily in I.indigotica and contributes valuable information for further functional characterization of IiAP2/ERF genes and supports further metabolic engineering.Methods To identify the IiAP2/ERF superfamily genes,the AP2/ERF sequences from Arabidopsis thaliana and Brassica rapa were used as query sequences in the basic local alignment search tool.Bioinformatic analyses were conducted to investigate the protein structure,motif composition,chromosome location,phylogenetic relationship,and interaction network of the IiAP2/ERF superfamily genes.The accuracy of omics data was verified by quantitative polymerase chain reaction and heatmap analyses.Results One hundred and twenty-six putative IiAP2/ERF genes in total were identified from the I.indigotica genome database in this study.By sequence alignment and phylogenetic analysis,the IiAP2/ERF genes were classified into 5 groups including AP2,ERF,DREB(dehydration-responsive element-binding factor),Soloist and RAV(related to abscisic acid insensitive 3/viviparous 1)subfamilies.Among which,122 members were unevenly distributed across seven chromosomes.Sequence alignment showed that I.indigotica and A.thaliana had 30 pairs of orthologous genes,and we constructed their interaction network.The comprehensive analysis of gene expression pattern in different tissues suggested that these genes may play a significant role in organ growth and development of I.indigotica.Members that may regulate lignan biosynthesis in roots were also preliminarily identified.Ribonucleic acid sequencing analysis revealed that the expression of 76 IiAP2/ERF genes were up-or down-regulated under salt or drought treatment,among which,33 IiAP2/ERF genes were regulated by both stresses.Conclusion This study undertook a genome-wide characterization of the AP2/ERF superfamily in I.indigotica,providing valuable information for further functional characterization of IiAP2/ERF genes and discovery of genetic targets for metabolic engineering.展开更多
现有方面级情感分析研究大多数往往从文本数据本身进行情感分析,而没有充分利用领域知识,忽略了语义依存信息的重要性,使得方面表示受噪声信息影响严重,出现噪声词注意权重高的可能。针对以上问题,结合领域知识,提出了一种剪枝算法和语...现有方面级情感分析研究大多数往往从文本数据本身进行情感分析,而没有充分利用领域知识,忽略了语义依存信息的重要性,使得方面表示受噪声信息影响严重,出现噪声词注意权重高的可能。针对以上问题,结合领域知识,提出了一种剪枝算法和语义-注意力机制相结合的方法(Pruning And Semantic At tention,PASA)针对服务领域特定方面进行情感分类。方法一方面结合领域知识对文本对应的语义依存树进行剪枝实现方面信息降噪,另一方面,通过利用语义-注意力机制进行增强并精确捕获方面的上下文描述信息,从而实现对方面情感极性的判断。为了验证所提出方法的正确性和有效性,在物流数据集、酒店评论数据集及SemEval 2014的Restaurant数据集进行了大量实验,结果表明,所提出的方法相对于其它方法具有明显优势,在垂直领域具有较好的应用前景。展开更多
基金sponsored by the National Key Research and Development Program of China (Grant No. 2018YFC0704400)the Programmer of Introducing Talents (Grant No. B13011)
文摘The Asia Pacific Economic Cooperation(APEC)comprises of the world’s largest producers and consumers of energy,accounting for 60.3%of primary energy supply,50.0%of final energy consumption,and 63.0%of electricity generation worldwide in 2016.This study discusses the primary energy supply and final energy consumption situation of the APEC and analyzes the characteristics of electricity in terms of its generation structure based on fuel,consumption by the end-use sector,access to electricity,and so on.The renewable energy and electricity generation projections up to 2030 based on trends in the APEC are also assessed.It is seen that electricity in final energy consumption has been on an upward trend,with an average annual growth rate of about 4.8%during 2006–2016,in 2016,its share reached 24.3%.The industry sector consumes the largest share of electricity,accounting for about 45.5%in 2016.Coal supply and consumption peaked in 2011 and then began to decline,while renewable energy has been on an upward trend,with its primary energy supply share increasing from 4.80%in 2010 to 6.29%in 2016.Solar photovoltaic and onshore wind power are on the verge of costing less than the operating cost of existing coal-fired plants in 2018.In the APEC’s target scenario in which renewable energy is doubled,the predicted net growth from 2017 to 2030 of solar,wind,and hydro power is about 963,497,and 157 GW,respectively,and to reach this target,the APEC economies need to accelerate renewable energy development.
文摘An increased amount of DNA fragme ntation in the spermatozoa(SDF)is linked to male in fertility.The Sperm Chromati n Structure Assay(SCSA)is widely used for analysis of SDF.However,the current software(SCSASoftR)linked to this assay is licensed and often located within larger diagnostic centers.In this study,we present a protocol for using other types of software than SCSASoftR to determine the SDF index(DFI)with clinical relevance.This protocol is engineered after collect!ng and analyzing 254 samples from fertility patients and sperm donors over a 15-month period.DFI is analyzed using a strict protocol where the spermatozoa are treated with a strong acid(pH 1.2)followed by acridine orange.DFI is determined by a standard flow cytometric software,FACSDiva 6.1.3.Analysis of the outcome of the fertility treatment is included for 137 patients receiving either intrauterine inseminations(IUI)or timed coitus(TC).The results show that the chance of pregnancy decli nes as DFI in creases.We also found that the male DFI affects the chanee of pregnancy independent of the female age.We have shown that a standard flow cytometric software can be used when determi ning a clinical releva nt DFI.These findings are a sign ificant step toward impleme nting the an alysis as a part of the routi ne,in・house diag no sing of the male fertility patient and subseque ntly optimizing the treatme nt course of the couple with reduced human and financial costs.
基金This study was supported by the National Natural Science Foundation of China(No.32000231,31970316,32170274,31770329 and 32070327)Program of Shanghai Academic Research Leader(19XD1405000)Shanghai Sail Program(19YF1459300)。
文摘Objective AP2/ERF(APETALA2/ethylene-responsive factor)superfamily is one of the largest gene families in plants and has been reported to participate in various biological processes,such as the regulation of biosynthesis of active lignan.However,few studies have investigated the genome-wide role of the AP2/ERF superfamily in Isatis indigotica.This study establishes a complete picture of the AP2/ERF superfamily in I.indigotica and contributes valuable information for further functional characterization of IiAP2/ERF genes and supports further metabolic engineering.Methods To identify the IiAP2/ERF superfamily genes,the AP2/ERF sequences from Arabidopsis thaliana and Brassica rapa were used as query sequences in the basic local alignment search tool.Bioinformatic analyses were conducted to investigate the protein structure,motif composition,chromosome location,phylogenetic relationship,and interaction network of the IiAP2/ERF superfamily genes.The accuracy of omics data was verified by quantitative polymerase chain reaction and heatmap analyses.Results One hundred and twenty-six putative IiAP2/ERF genes in total were identified from the I.indigotica genome database in this study.By sequence alignment and phylogenetic analysis,the IiAP2/ERF genes were classified into 5 groups including AP2,ERF,DREB(dehydration-responsive element-binding factor),Soloist and RAV(related to abscisic acid insensitive 3/viviparous 1)subfamilies.Among which,122 members were unevenly distributed across seven chromosomes.Sequence alignment showed that I.indigotica and A.thaliana had 30 pairs of orthologous genes,and we constructed their interaction network.The comprehensive analysis of gene expression pattern in different tissues suggested that these genes may play a significant role in organ growth and development of I.indigotica.Members that may regulate lignan biosynthesis in roots were also preliminarily identified.Ribonucleic acid sequencing analysis revealed that the expression of 76 IiAP2/ERF genes were up-or down-regulated under salt or drought treatment,among which,33 IiAP2/ERF genes were regulated by both stresses.Conclusion This study undertook a genome-wide characterization of the AP2/ERF superfamily in I.indigotica,providing valuable information for further functional characterization of IiAP2/ERF genes and discovery of genetic targets for metabolic engineering.
文摘现有方面级情感分析研究大多数往往从文本数据本身进行情感分析,而没有充分利用领域知识,忽略了语义依存信息的重要性,使得方面表示受噪声信息影响严重,出现噪声词注意权重高的可能。针对以上问题,结合领域知识,提出了一种剪枝算法和语义-注意力机制相结合的方法(Pruning And Semantic At tention,PASA)针对服务领域特定方面进行情感分类。方法一方面结合领域知识对文本对应的语义依存树进行剪枝实现方面信息降噪,另一方面,通过利用语义-注意力机制进行增强并精确捕获方面的上下文描述信息,从而实现对方面情感极性的判断。为了验证所提出方法的正确性和有效性,在物流数据集、酒店评论数据集及SemEval 2014的Restaurant数据集进行了大量实验,结果表明,所提出的方法相对于其它方法具有明显优势,在垂直领域具有较好的应用前景。
