Anthocyanins are the main pigments in ripe strawberry fruits.FaMYB10 and abscisic acid(ABA)are the two major regulators of anthocyanin biosynthesis in the maturation process of strawberry fruits.However,the transcript...Anthocyanins are the main pigments in ripe strawberry fruits.FaMYB10 and abscisic acid(ABA)are the two major regulators of anthocyanin biosynthesis in the maturation process of strawberry fruits.However,the transcriptional regulation of FaMYB10,ABA biosynthesis,and anthocyanin accumulation in strawberry(Fragaria×ananassa)remain largely unknown.Here,a yeast one-hybrid screen using the FaMYB10 promoter identified a class B MADS-domain transcription factor,FaMADS6 in strawberry.FaMADS6 exhibited high expression at the early developmental stage but was hardly detected during maturation of strawberry fruit,a pattern opposite to accumulation of anthocyanins.Transcriptional upregulation of FaMADS6 repressed anthocyanin accumulation and expression of FaMYB10 and the anthocyanin biosynthetic genes,FaCHS,FaCHI,FaF3H,FaANS,and FaUFGT.In contrast,downregulation of FaMADS6 promoted the expression of FaMYB10 and the anthocyanin biosynthetic genes.The promoters of the anthocyanin biosynthetic genes were not directly bound by FaMADS6,in contrast to FaMYB10.Analysis of the DNA binding sequences of FaMADS6 revealed that it also interacted with the promoters of FaNCED2 and FaPYR1,which are involved in the biosynthesis and perception of ABA.Overexpression of FaMADS6 significantly suppressed FaNCED2 and FaPYR1 and ABA synthesis in transgenic strawberry.Together,our findings suggest that FaMADS6 functions as a suppressor of anthocyanin accumulation by directly downregulating FaMYB10 and ABA production during strawberry fruit maturation.展开更多
Flight behavior analysis provides the fundamental basis for the future development of air traffic management(ATM).The characteristics of aircraft behavior are inherently reflected in their flight trajectories,impactin...Flight behavior analysis provides the fundamental basis for the future development of air traffic management(ATM).The characteristics of aircraft behavior are inherently reflected in their flight trajectories,impacting flight efficiency and safety levels.However,existing research largely addresses inefficient or abnormal trajectories from a single perspective,with an absence of a unified evaluation standard.This paper introduces a method for analyzing flight deviation behavior based on automatic dependent surveillance-broadcast(ADS-B)data,defining novel metrics of trajectory redundancy and trajectory deviation.An adaptive detection algorithm is developed to capture diverse deviation patterns.Results reveal that higher trajectory redundancy is linked to lower operational efficiency,while trajectory deviation effectively identify stepped descents,holding patterns,detours,and other behaviors.The approach offers data-driven support for anomaly detection,performance evaluation and air traffic management,with substantial significance for civil aviation applications.展开更多
In this paper,the growth characteristic of meromorphic solutions for the following difference equation An(z)f(z+n)+…+A1(z)f(z+1)+A0(z)f(z)=0 with no dominating coefficient is studied.By imposing certain restriction o...In this paper,the growth characteristic of meromorphic solutions for the following difference equation An(z)f(z+n)+…+A1(z)f(z+1)+A0(z)f(z)=0 with no dominating coefficient is studied.By imposing certain restriction on the entire coefficients associated with Petrenko's deviation of the above equation,we obtain some results and partially address a question posed byⅠ.Laine and C.C.Yang.Furthermore,for the entire solutions f(z)of the difference equation An(z)f(z+n)+…+A1(z)f(z+1)+A0(z)f(z)=F(z),where Aj(z)(j=0,…,n),F(z)are entire functions,we discover a close relationship between the measure of common transcendental directions associated with classical difference operators of f(z)and Petrenko's deviations of the coefficients.展开更多
Transit managers can use Intelligent Transportation System technologies to access large amounts of data to monitor network status.However,the presentation of the data lacks structural information.Existing single-netwo...Transit managers can use Intelligent Transportation System technologies to access large amounts of data to monitor network status.However,the presentation of the data lacks structural information.Existing single-network description technologies are ineffective in representing the temporal and spatial characteristics simultaneously.Therefore,there is a need for complementary methods to address these deficiencies.To address these limitations,this paper proposes an approach that combines Network Snapshots and Temporal Paths for the scheduled system.A dual information network is constructed to assess the degree of operational deviation considering the planning tasks.To validate the effectiveness,discussions are conducted through a modified cosine similarity calculation on theoretical analysis,delay level description,and the ability to identify abnormal dates.Compared to some state-of-the-art methods,the proposed method achieves an average Spearman delay correlation of 0.847 and a relative distance of 3.477.Furthermore,case analyses are invested in regions of China's Mainland,Europe,and the United States,investigating both the overall and sub-regional network fluctuations.To represent the impact of network fluctuations in sub-regions,a response loss value was developed.The times that are prone to fluctuations are also discussed through the classification of time series data.The research can offer a novel approach to system monitoring,providing a research direction that utilizes individual data combined to represent macroscopic states.Our code will be released at https://github.com/daozhong/STPN.git.展开更多
Although machine learning models have achieved high enough accuracy in predicting shield position deviations,their“black box”nature makes the prediction mechanisms and decision-making processes opaque,leading to wea...Although machine learning models have achieved high enough accuracy in predicting shield position deviations,their“black box”nature makes the prediction mechanisms and decision-making processes opaque,leading to weaker explanations and practicability.This study introduces a novel explainable deep learning framework comprising the Informer model with enhanced attention mechanisms(EAMInfor)and deep learning important features(DeepLIFT),aimed at improving the prediction accuracy of shield position deviations and providing interpretability for predictive results.The EAMInfor model attempts to integrate channel attention,spatial attention,and simple attention modules to improve the Informer model's performance.The framework is tested with the four different geological conditions datasets generated from the Xiamen metro line 3,China.Results show that the EAMInfor model outperforms the traditional Informer and comparison models.The analysis with the DeepLIFT method indicates that the push thrust of push cylinder and the earth chamber pressure are the most significant features,while the stroke length of the push cylinder demonstrated lower importance.Furthermore,the variation trends in the significance of data points within input sequences exhibit substantial differences between single and composite strata.This framework not only improves predictive accuracy but also strengthens the credibility and reliability of the results.展开更多
【目的】MADS-box转录因子是植物最大的转录因子家族之一,在植物生长发育和胁迫响应中均发挥重要功能。前期通过转录组数据获得一个辣椒热响应基因,该基因编码MADS-box转录因子家族成员CaAGL61(Agamous-like MADS-box protein AGL61)。...【目的】MADS-box转录因子是植物最大的转录因子家族之一,在植物生长发育和胁迫响应中均发挥重要功能。前期通过转录组数据获得一个辣椒热响应基因,该基因编码MADS-box转录因子家族成员CaAGL61(Agamous-like MADS-box protein AGL61)。在此基础上,进一步研究CaAGL61在辣椒耐热性调控中的功能,为深入了解辣椒耐热分子机制提供理论参考,为辣椒耐热性的遗传改良提供基因位点。【方法】通过SMART在线工具预测CaAGL61保守结构域,使用MEGA7构建辣椒和其他植物物种AGL61蛋白的系统发育树,利用实时荧光定量PCR技术探究CaAGL61在辣椒中的表达模式,运用烟草亚细胞定位技术和酵母双杂交自激活系统检测CaAGL61的转录因子特性,利用病毒诱导的基因沉默技术和基因瞬时过表达技术探究CaAGL61表达对辣椒耐热性的影响。【结果】CaAGL61编码179个氨基酸,包含一个MADS结构域,在系统进化方面高度保守。CaAGL61在辣椒花器官中的表达量最高、其次是茎和果实,根中的表达量最低;进一步分析发现CaAGL61的表达量随着花器官的成熟而增加,尤其在授粉坐果期的花药中表达量最高;45℃高温处理显著上调了CaAGL61的表达水平。亚细胞定位显示,CaAGL61定位于细胞核中;酵母转录激活分析表明,CaAGL61具有转录激活活性。CaAGL61沉默植株的耐热性显著增强,热胁迫处理后,与对照相比,CaAGL61沉默植株生长点萎蔫程度减轻,叶片相对电导率降低,丙二醛含量、死细胞和活性氧积累减少,而叶绿素含量升高。相反,CaAGL61瞬时过表达降低了辣椒的耐热性,与对照相比,表现为植株受热胁迫损伤程度更严重,叶片相对电导率升高,丙二醛含量、死细胞和活性氧积累增多,叶绿素含量下降。【结论】鉴定了一个辣椒热响应MADS-box转录因子基因CaAGL61,该基因通过加剧氧化胁迫而负调控辣椒耐热性。展开更多
To address the issue of coordinated control of multiple hydrogen and battery storage units to suppress the grid-injected power deviation of wind farms,an online optimization strategy for Battery-hydrogen hybrid energy...To address the issue of coordinated control of multiple hydrogen and battery storage units to suppress the grid-injected power deviation of wind farms,an online optimization strategy for Battery-hydrogen hybrid energy storage systems based on measurement feedback is proposed.First,considering the high charge/discharge losses of hydrogen storage and the low energy density of battery storage,an operational optimization objective is established to enable adaptive energy adjustment in the Battery-hydrogen hybrid energy storage system.Next,an online optimization model minimizing the operational cost of the hybrid system is constructed to suppress grid-injected power deviations with satisfying the operational constraints of hydrogen storage and batteries.Finally,utilizing the online measurement of the energy states of hydrogen storage and batteries,an online optimization strategy based on measurement feedback is designed.Case study results show:before and after smoothing the fluctuations in wind power,the time when the power exceeded the upper and lower limits of the grid-injected power accounted for 24.1%and 1.45%of the total time,respectively,the proposed strategy can effectively keep the grid-injected power deviations of wind farms within the allowable range.Hydrogen storage and batteries respectively undertake long-term and short-term charge/discharge tasks,effectively reducing charge/discharge losses of the Battery-hydrogen hybrid energy storage systems and improving its operational efficiency.展开更多
基金supported by the National Key R&D Program of China(Grant No.2022YFD1600700)Natural Science Foundation of China(Grant Nos.32372644,32472661)+1 种基金Natural Science Foundation of Universities in Anhui Province,China(Grant Nos.2022AH050931,2023AH051043)Anhui Provincial Natural Science Foundation,China(Grant No.2108085MC105).
文摘Anthocyanins are the main pigments in ripe strawberry fruits.FaMYB10 and abscisic acid(ABA)are the two major regulators of anthocyanin biosynthesis in the maturation process of strawberry fruits.However,the transcriptional regulation of FaMYB10,ABA biosynthesis,and anthocyanin accumulation in strawberry(Fragaria×ananassa)remain largely unknown.Here,a yeast one-hybrid screen using the FaMYB10 promoter identified a class B MADS-domain transcription factor,FaMADS6 in strawberry.FaMADS6 exhibited high expression at the early developmental stage but was hardly detected during maturation of strawberry fruit,a pattern opposite to accumulation of anthocyanins.Transcriptional upregulation of FaMADS6 repressed anthocyanin accumulation and expression of FaMYB10 and the anthocyanin biosynthetic genes,FaCHS,FaCHI,FaF3H,FaANS,and FaUFGT.In contrast,downregulation of FaMADS6 promoted the expression of FaMYB10 and the anthocyanin biosynthetic genes.The promoters of the anthocyanin biosynthetic genes were not directly bound by FaMADS6,in contrast to FaMYB10.Analysis of the DNA binding sequences of FaMADS6 revealed that it also interacted with the promoters of FaNCED2 and FaPYR1,which are involved in the biosynthesis and perception of ABA.Overexpression of FaMADS6 significantly suppressed FaNCED2 and FaPYR1 and ABA synthesis in transgenic strawberry.Together,our findings suggest that FaMADS6 functions as a suppressor of anthocyanin accumulation by directly downregulating FaMYB10 and ABA production during strawberry fruit maturation.
基金supported in part by the National Key Research and Development Program of China(No.2023YFB4302903)the Fundamental Research Funds for the Central Universities(No.210525001464)。
文摘Flight behavior analysis provides the fundamental basis for the future development of air traffic management(ATM).The characteristics of aircraft behavior are inherently reflected in their flight trajectories,impacting flight efficiency and safety levels.However,existing research largely addresses inefficient or abnormal trajectories from a single perspective,with an absence of a unified evaluation standard.This paper introduces a method for analyzing flight deviation behavior based on automatic dependent surveillance-broadcast(ADS-B)data,defining novel metrics of trajectory redundancy and trajectory deviation.An adaptive detection algorithm is developed to capture diverse deviation patterns.Results reveal that higher trajectory redundancy is linked to lower operational efficiency,while trajectory deviation effectively identify stepped descents,holding patterns,detours,and other behaviors.The approach offers data-driven support for anomaly detection,performance evaluation and air traffic management,with substantial significance for civil aviation applications.
基金Supported by the National Natural Science Foundation of China(Grant No.11661043)and the ScienceTechnology Research Project of Jiangxi Provincial Department of Education(Grant No.GJJ2200320).
文摘In this paper,the growth characteristic of meromorphic solutions for the following difference equation An(z)f(z+n)+…+A1(z)f(z+1)+A0(z)f(z)=0 with no dominating coefficient is studied.By imposing certain restriction on the entire coefficients associated with Petrenko's deviation of the above equation,we obtain some results and partially address a question posed byⅠ.Laine and C.C.Yang.Furthermore,for the entire solutions f(z)of the difference equation An(z)f(z+n)+…+A1(z)f(z+1)+A0(z)f(z)=F(z),where Aj(z)(j=0,…,n),F(z)are entire functions,we discover a close relationship between the measure of common transcendental directions associated with classical difference operators of f(z)and Petrenko's deviations of the coefficients.
文摘Transit managers can use Intelligent Transportation System technologies to access large amounts of data to monitor network status.However,the presentation of the data lacks structural information.Existing single-network description technologies are ineffective in representing the temporal and spatial characteristics simultaneously.Therefore,there is a need for complementary methods to address these deficiencies.To address these limitations,this paper proposes an approach that combines Network Snapshots and Temporal Paths for the scheduled system.A dual information network is constructed to assess the degree of operational deviation considering the planning tasks.To validate the effectiveness,discussions are conducted through a modified cosine similarity calculation on theoretical analysis,delay level description,and the ability to identify abnormal dates.Compared to some state-of-the-art methods,the proposed method achieves an average Spearman delay correlation of 0.847 and a relative distance of 3.477.Furthermore,case analyses are invested in regions of China's Mainland,Europe,and the United States,investigating both the overall and sub-regional network fluctuations.To represent the impact of network fluctuations in sub-regions,a response loss value was developed.The times that are prone to fluctuations are also discussed through the classification of time series data.The research can offer a novel approach to system monitoring,providing a research direction that utilizes individual data combined to represent macroscopic states.Our code will be released at https://github.com/daozhong/STPN.git.
基金supported by the National Natural Science Foundation of China(Grant Nos.52378392,52408356)the Foal Eagle Program Youth Top-notch Talent Project of Fujian Province,China(Grant No.00387088).
文摘Although machine learning models have achieved high enough accuracy in predicting shield position deviations,their“black box”nature makes the prediction mechanisms and decision-making processes opaque,leading to weaker explanations and practicability.This study introduces a novel explainable deep learning framework comprising the Informer model with enhanced attention mechanisms(EAMInfor)and deep learning important features(DeepLIFT),aimed at improving the prediction accuracy of shield position deviations and providing interpretability for predictive results.The EAMInfor model attempts to integrate channel attention,spatial attention,and simple attention modules to improve the Informer model's performance.The framework is tested with the four different geological conditions datasets generated from the Xiamen metro line 3,China.Results show that the EAMInfor model outperforms the traditional Informer and comparison models.The analysis with the DeepLIFT method indicates that the push thrust of push cylinder and the earth chamber pressure are the most significant features,while the stroke length of the push cylinder demonstrated lower importance.Furthermore,the variation trends in the significance of data points within input sequences exhibit substantial differences between single and composite strata.This framework not only improves predictive accuracy but also strengthens the credibility and reliability of the results.
文摘【目的】MADS-box转录因子是植物最大的转录因子家族之一,在植物生长发育和胁迫响应中均发挥重要功能。前期通过转录组数据获得一个辣椒热响应基因,该基因编码MADS-box转录因子家族成员CaAGL61(Agamous-like MADS-box protein AGL61)。在此基础上,进一步研究CaAGL61在辣椒耐热性调控中的功能,为深入了解辣椒耐热分子机制提供理论参考,为辣椒耐热性的遗传改良提供基因位点。【方法】通过SMART在线工具预测CaAGL61保守结构域,使用MEGA7构建辣椒和其他植物物种AGL61蛋白的系统发育树,利用实时荧光定量PCR技术探究CaAGL61在辣椒中的表达模式,运用烟草亚细胞定位技术和酵母双杂交自激活系统检测CaAGL61的转录因子特性,利用病毒诱导的基因沉默技术和基因瞬时过表达技术探究CaAGL61表达对辣椒耐热性的影响。【结果】CaAGL61编码179个氨基酸,包含一个MADS结构域,在系统进化方面高度保守。CaAGL61在辣椒花器官中的表达量最高、其次是茎和果实,根中的表达量最低;进一步分析发现CaAGL61的表达量随着花器官的成熟而增加,尤其在授粉坐果期的花药中表达量最高;45℃高温处理显著上调了CaAGL61的表达水平。亚细胞定位显示,CaAGL61定位于细胞核中;酵母转录激活分析表明,CaAGL61具有转录激活活性。CaAGL61沉默植株的耐热性显著增强,热胁迫处理后,与对照相比,CaAGL61沉默植株生长点萎蔫程度减轻,叶片相对电导率降低,丙二醛含量、死细胞和活性氧积累减少,而叶绿素含量升高。相反,CaAGL61瞬时过表达降低了辣椒的耐热性,与对照相比,表现为植株受热胁迫损伤程度更严重,叶片相对电导率升高,丙二醛含量、死细胞和活性氧积累增多,叶绿素含量下降。【结论】鉴定了一个辣椒热响应MADS-box转录因子基因CaAGL61,该基因通过加剧氧化胁迫而负调控辣椒耐热性。
基金Supported by State Grid Zhejiang Electric Power Co.,Ltd.Science and Technology Project Funding(No.B311DS230005).
文摘To address the issue of coordinated control of multiple hydrogen and battery storage units to suppress the grid-injected power deviation of wind farms,an online optimization strategy for Battery-hydrogen hybrid energy storage systems based on measurement feedback is proposed.First,considering the high charge/discharge losses of hydrogen storage and the low energy density of battery storage,an operational optimization objective is established to enable adaptive energy adjustment in the Battery-hydrogen hybrid energy storage system.Next,an online optimization model minimizing the operational cost of the hybrid system is constructed to suppress grid-injected power deviations with satisfying the operational constraints of hydrogen storage and batteries.Finally,utilizing the online measurement of the energy states of hydrogen storage and batteries,an online optimization strategy based on measurement feedback is designed.Case study results show:before and after smoothing the fluctuations in wind power,the time when the power exceeded the upper and lower limits of the grid-injected power accounted for 24.1%and 1.45%of the total time,respectively,the proposed strategy can effectively keep the grid-injected power deviations of wind farms within the allowable range.Hydrogen storage and batteries respectively undertake long-term and short-term charge/discharge tasks,effectively reducing charge/discharge losses of the Battery-hydrogen hybrid energy storage systems and improving its operational efficiency.
