针对电动汽车(electric vehicle,EV)和风电大规模接入电网对系统调度、运行等方面带来的挑战,该文基于长短期记忆网络(long short term memory network,LSTM),提出一种计及电动汽车需求和分时电价差异的区域电网经济调度策略。首先,根...针对电动汽车(electric vehicle,EV)和风电大规模接入电网对系统调度、运行等方面带来的挑战,该文基于长短期记忆网络(long short term memory network,LSTM),提出一种计及电动汽车需求和分时电价差异的区域电网经济调度策略。首先,根据需求差异将并网EV分为刚性EV、快充灵活EV和慢充灵活EV 3种类型,并分别建立负荷模型。其次,考虑快/慢充灵活EV响应速度和分时电价的差异,以及常规发电机组、快速响应机组的电源特性,将该策略分为日前、模型训练和日内3个阶段。在日前阶段考虑区域电网机组运行成本和电动汽车车主支付费用建立了多目标优化调度模型;模型训练阶段,通过大量数据训练LSTM网络得到日内调度模型;日内阶段,将日前调度结果和日内超短期预测数据输入到日内调度模型中,得到日内可控单元调度计划。最后,通过日后复盘验证了策略的有效性和经济性。展开更多
Existing methods for transformer fault diagnosis either train a classifier to fit the relationship between dissolved gas and fault type or find some similar cases with unknown samples by calculating the similarity met...Existing methods for transformer fault diagnosis either train a classifier to fit the relationship between dissolved gas and fault type or find some similar cases with unknown samples by calculating the similarity metrics.Their accuracy is limited,since they are hard to learn from other algorithms to improve their own performance.To improve the accuracy of transformer fault diagnosis,a novel method for transformer fault diagnosis based on graph convolutional network(GCN)is proposed.The proposed method has the advantages of two kinds of existing methods.Specifically,the adjacency matrix of GCN is utilized to fully represent the similarity metrics between unknown samples and labeled samples.Furthermore,the graph convolutional layers with strong feature extraction ability are used as a classifier to find the complex nonlinear relationship between dissolved gas and fault type.The back propagation algorithm is used to complete the training process of GCN.The simulation results show that the performance of GCN is better than that of the existing methods such as convolutional neural network,multi-layer perceptron,support vector machine,extreme gradient boosting tree,k-nearest neighbors and Siamese network in different input features and data volumes,which can effectively meet the needs of diagnostic accuracy.展开更多
Lepton scattering is an established ideal tool for studying inner structure of small particles such as nucleons as well as nuclei.As a future high energy nuclear physics project,an Electron-ion collider in China(EicC)...Lepton scattering is an established ideal tool for studying inner structure of small particles such as nucleons as well as nuclei.As a future high energy nuclear physics project,an Electron-ion collider in China(EicC)has been proposed.It will be constructed based on an upgraded heavy-ion accelerator,High Intensity heavy-ion Accelerator Facility(HIAF)which is currently under construction,together with a new electron ring.The proposed collider will provide highly polarized electrons(with a po-larization of 80%)and protons(with a polarization of 70%)with variable center of mass energies from 15 to 20 GeV and the luminosity of(2–3)×1033 cm^(−2)·s^(−1).Polarized deuterons and Helium-3,as well as unpolarized ion beams from Carbon to Uranium,will be also available at the EicC.The main foci of the EicC will be precision measurements of the structure of the nucleon in the sea quark region,including 3D tomography of nucleon;the partonic structure of nuclei and the parton interaction with the nuclear environment;the exotic states,especially those with heavy flavor quark contents.In addition,issues fundamental to understanding the origin of mass could be addressed by measurements of heavy quarkonia near-threshold production at the EicC.In order to achieve the above-mentioned physics goals,a hermetical detector system will be constructed with cutting-edge technologies.This document is the result of collective contributions and valuable inputs from experts across the globe.The EicC physics program complements the ongoing scientific programs at the Jefferson Laboratory and the future EIC project in the United States.The success of this project will also advance both nuclear and particle physics as well as accelerator and detector technology in China.展开更多
Topological circuits,an exciting feld just emerged over the last two years,have become a very accessible platform for realizing and exploring topological physics,with many of their physical phenomena and potential app...Topological circuits,an exciting feld just emerged over the last two years,have become a very accessible platform for realizing and exploring topological physics,with many of their physical phenomena and potential applications as yet to be discovered.In this work,we design and experimentally demonstrate a topologically nontrivial band structure and the associated topologically protected edge states in an RF circuit,which is composed of a collection of grounded capacitors connected by alternating inductors in the x and y directions,in analogy to the Su–Schriefer–Heeger model.We take full control of the topological invariant(i.e.,Zak phase)as well as the gap width of the band structure by simply tuning the circuit parameters.Excellent agreement is found between the experimental and simulation results,both showing obvious nontrivial edge state that is tightly bound to the circuit boundaries with extreme robustness against various types of defects.Te demonstration of topological properties in circuits provides a convenient and fexible platform for studying topological materials and the possibility for developing fexible circuits with highly robust circuit performance.展开更多
As promising catalysts for the degradation of organic pollutants,metal–organic frameworks(MOFs)often face limitations due to the particle agglomeration and challenging recovery in liquid-catalysis application,stemmin...As promising catalysts for the degradation of organic pollutants,metal–organic frameworks(MOFs)often face limitations due to the particle agglomeration and challenging recovery in liquid-catalysis application,stemming from their powdery nature.Engineering macroscopic structures from pulverous MOF is thus of great importance for broadening their practical applications.In this study,three-dimensional porous MOF aerogel catalysts were successfully fabricated for degrading organic dyes by activating peroxymonosulfate(PMS).MOF/gelatin aerogel(MOF/GA)catalysts were prepared by directly integrating bimetallic FeCo-BDC with gelatin solutions,followed by freeze-drying and low-temperature calcination.The FeCo-BDC-0.15/GA/PMS system exhibited remarkable performance in degrading various organic dyes,eliminating 99.2%of rhodamine B within a mere 5 min.Compared to the GA/PMS system,there was over a 300-fold increase in the reaction rate constant.Remarkably,high removal efficiency was maintained across varying conditions,including different solution pH,co-existing inorganic anions,and natural water matrices.Radical trapping experiments and electron paramagnetic resonance analysis revealed that the degradation involved radical(SO_(4)^(-)·)and non-radical routes(^(1)O_(2)),of which ^(1)O_(2) was dominant.Furthermore,even after a continuous 400-min reaction in a fixed-bed reactor at a liquid hourly space velocity of 27 h^(-1),the FeCo-BDC/GA composite sustained a degradation efficiency exceeding 98.7%.This work presents highly active MOF-gelatin aerogels for dye degradation and expands the potential for their large-scale,continuous treatment application in organic dye wastewater management.展开更多
Seed size is an important agronomic trait in melons that directly affects seed germination and subsequent seedling growth.However,the genetic mechanism underlying seed size in melon remains unclear.In the present stud...Seed size is an important agronomic trait in melons that directly affects seed germination and subsequent seedling growth.However,the genetic mechanism underlying seed size in melon remains unclear.In the present study,we employed Bulked-Segregant Analysis sequencing(BSA-seq)to identify a candidate region(~1.35 Mb)on chromosome 6 that corresponds to seed size.This interval was confirmed by QTL mapping of three seed size-related traits from an F2 population across three environments.This mapping region represented nine QTLs that shared an overlapping region on chromosome 6,collectively referred to as qSS6.1.New InDel markers were developed in the qSS6.1 region,narrowing it down to a 68.35 kb interval that contains eight annotated genes.Sequence variation analysis of the eight genes identified a SNP with a C to T transition mutation in the promoter region of MELO3C014002,a leucine-rich repeat receptor-like kinase(LRR-RLK)gene.This mutation affected the promoter activity of the MELO3C014002 gene and was successfully used to differentiate the large-seeded accessions(C-allele)from the small-seeded accessions(T-allele).qRT-PCR revealed differential expression of MELO3C014002 between the two parental lines.Its predicted protein has typical LRR-RLK family domains,and phylogenetic analyses reveled its similarity with the homologs in several plant species.Altogether,these findings suggest MELO3C014002 as the most likely candidate gene involved in melon seed size regulation.Our results will be helpful for better understanding the genetic mechanism regulating seed size in melons and for genetically improving this important trait through molecular breeding pathways.展开更多
文摘针对电动汽车(electric vehicle,EV)和风电大规模接入电网对系统调度、运行等方面带来的挑战,该文基于长短期记忆网络(long short term memory network,LSTM),提出一种计及电动汽车需求和分时电价差异的区域电网经济调度策略。首先,根据需求差异将并网EV分为刚性EV、快充灵活EV和慢充灵活EV 3种类型,并分别建立负荷模型。其次,考虑快/慢充灵活EV响应速度和分时电价的差异,以及常规发电机组、快速响应机组的电源特性,将该策略分为日前、模型训练和日内3个阶段。在日前阶段考虑区域电网机组运行成本和电动汽车车主支付费用建立了多目标优化调度模型;模型训练阶段,通过大量数据训练LSTM网络得到日内调度模型;日内阶段,将日前调度结果和日内超短期预测数据输入到日内调度模型中,得到日内可控单元调度计划。最后,通过日后复盘验证了策略的有效性和经济性。
基金This manuscript is supported by the China Scholarship Council.
文摘Existing methods for transformer fault diagnosis either train a classifier to fit the relationship between dissolved gas and fault type or find some similar cases with unknown samples by calculating the similarity metrics.Their accuracy is limited,since they are hard to learn from other algorithms to improve their own performance.To improve the accuracy of transformer fault diagnosis,a novel method for transformer fault diagnosis based on graph convolutional network(GCN)is proposed.The proposed method has the advantages of two kinds of existing methods.Specifically,the adjacency matrix of GCN is utilized to fully represent the similarity metrics between unknown samples and labeled samples.Furthermore,the graph convolutional layers with strong feature extraction ability are used as a classifier to find the complex nonlinear relationship between dissolved gas and fault type.The back propagation algorithm is used to complete the training process of GCN.The simulation results show that the performance of GCN is better than that of the existing methods such as convolutional neural network,multi-layer perceptron,support vector machine,extreme gradient boosting tree,k-nearest neighbors and Siamese network in different input features and data volumes,which can effectively meet the needs of diagnostic accuracy.
文摘Lepton scattering is an established ideal tool for studying inner structure of small particles such as nucleons as well as nuclei.As a future high energy nuclear physics project,an Electron-ion collider in China(EicC)has been proposed.It will be constructed based on an upgraded heavy-ion accelerator,High Intensity heavy-ion Accelerator Facility(HIAF)which is currently under construction,together with a new electron ring.The proposed collider will provide highly polarized electrons(with a po-larization of 80%)and protons(with a polarization of 70%)with variable center of mass energies from 15 to 20 GeV and the luminosity of(2–3)×1033 cm^(−2)·s^(−1).Polarized deuterons and Helium-3,as well as unpolarized ion beams from Carbon to Uranium,will be also available at the EicC.The main foci of the EicC will be precision measurements of the structure of the nucleon in the sea quark region,including 3D tomography of nucleon;the partonic structure of nuclei and the parton interaction with the nuclear environment;the exotic states,especially those with heavy flavor quark contents.In addition,issues fundamental to understanding the origin of mass could be addressed by measurements of heavy quarkonia near-threshold production at the EicC.In order to achieve the above-mentioned physics goals,a hermetical detector system will be constructed with cutting-edge technologies.This document is the result of collective contributions and valuable inputs from experts across the globe.The EicC physics program complements the ongoing scientific programs at the Jefferson Laboratory and the future EIC project in the United States.The success of this project will also advance both nuclear and particle physics as well as accelerator and detector technology in China.
基金This work was supported by the European Research Council Consolidator Grant(TOPOLOGICAL)the Royal Society,the Wolfson Foundation,Horizon 2020 Action Project no.734578(D-SPA)+3 种基金the National Key Research and Development Program of China(Grant no.2017YFA0700201)in part by the National Natural Science Foundation of China(Grants nos.61631007,61571117,61875133,and 11874269)the 111 Project(Grant no.111-2-05)in part by the China Postdoctoral Science Foundation(Grant no.2018M633129).
文摘Topological circuits,an exciting feld just emerged over the last two years,have become a very accessible platform for realizing and exploring topological physics,with many of their physical phenomena and potential applications as yet to be discovered.In this work,we design and experimentally demonstrate a topologically nontrivial band structure and the associated topologically protected edge states in an RF circuit,which is composed of a collection of grounded capacitors connected by alternating inductors in the x and y directions,in analogy to the Su–Schriefer–Heeger model.We take full control of the topological invariant(i.e.,Zak phase)as well as the gap width of the band structure by simply tuning the circuit parameters.Excellent agreement is found between the experimental and simulation results,both showing obvious nontrivial edge state that is tightly bound to the circuit boundaries with extreme robustness against various types of defects.Te demonstration of topological properties in circuits provides a convenient and fexible platform for studying topological materials and the possibility for developing fexible circuits with highly robust circuit performance.
基金funded by the Natural Science Foundation of Fujian Province(2023J05180)the President's Foundation of Minnan Normal University(KJ2021011).
文摘As promising catalysts for the degradation of organic pollutants,metal–organic frameworks(MOFs)often face limitations due to the particle agglomeration and challenging recovery in liquid-catalysis application,stemming from their powdery nature.Engineering macroscopic structures from pulverous MOF is thus of great importance for broadening their practical applications.In this study,three-dimensional porous MOF aerogel catalysts were successfully fabricated for degrading organic dyes by activating peroxymonosulfate(PMS).MOF/gelatin aerogel(MOF/GA)catalysts were prepared by directly integrating bimetallic FeCo-BDC with gelatin solutions,followed by freeze-drying and low-temperature calcination.The FeCo-BDC-0.15/GA/PMS system exhibited remarkable performance in degrading various organic dyes,eliminating 99.2%of rhodamine B within a mere 5 min.Compared to the GA/PMS system,there was over a 300-fold increase in the reaction rate constant.Remarkably,high removal efficiency was maintained across varying conditions,including different solution pH,co-existing inorganic anions,and natural water matrices.Radical trapping experiments and electron paramagnetic resonance analysis revealed that the degradation involved radical(SO_(4)^(-)·)and non-radical routes(^(1)O_(2)),of which ^(1)O_(2) was dominant.Furthermore,even after a continuous 400-min reaction in a fixed-bed reactor at a liquid hourly space velocity of 27 h^(-1),the FeCo-BDC/GA composite sustained a degradation efficiency exceeding 98.7%.This work presents highly active MOF-gelatin aerogels for dye degradation and expands the potential for their large-scale,continuous treatment application in organic dye wastewater management.
基金the Henan Special Funds for Major Science and Technology,China(221100110400)the Henan Scienti?c and Technological Joint Project for Agricultural Improved Varieties,China(2022010503)the National Natural Science Foundation of China(31902038 and 32072564)。
文摘Seed size is an important agronomic trait in melons that directly affects seed germination and subsequent seedling growth.However,the genetic mechanism underlying seed size in melon remains unclear.In the present study,we employed Bulked-Segregant Analysis sequencing(BSA-seq)to identify a candidate region(~1.35 Mb)on chromosome 6 that corresponds to seed size.This interval was confirmed by QTL mapping of three seed size-related traits from an F2 population across three environments.This mapping region represented nine QTLs that shared an overlapping region on chromosome 6,collectively referred to as qSS6.1.New InDel markers were developed in the qSS6.1 region,narrowing it down to a 68.35 kb interval that contains eight annotated genes.Sequence variation analysis of the eight genes identified a SNP with a C to T transition mutation in the promoter region of MELO3C014002,a leucine-rich repeat receptor-like kinase(LRR-RLK)gene.This mutation affected the promoter activity of the MELO3C014002 gene and was successfully used to differentiate the large-seeded accessions(C-allele)from the small-seeded accessions(T-allele).qRT-PCR revealed differential expression of MELO3C014002 between the two parental lines.Its predicted protein has typical LRR-RLK family domains,and phylogenetic analyses reveled its similarity with the homologs in several plant species.Altogether,these findings suggest MELO3C014002 as the most likely candidate gene involved in melon seed size regulation.Our results will be helpful for better understanding the genetic mechanism regulating seed size in melons and for genetically improving this important trait through molecular breeding pathways.
