Pythium stalk rot(PSR)is a destructive disease of maize,severely affecting yield and grain quality.The identification of quantitative trait loci(QTL)or genes for resistance to PSR forms the basis of diseaseresistant h...Pythium stalk rot(PSR)is a destructive disease of maize,severely affecting yield and grain quality.The identification of quantitative trait loci(QTL)or genes for resistance to PSR forms the basis of diseaseresistant hybrids breeding.In this study,a major QTL,Resistance to Pythium stalk rot 1(RPSR1),was identified from a set of recombinant inbred lines derived from MS71 and POP.Using a recombinant progeny testing strategy,RPSR1 was fine-mapped in a 472 kb interval.Through candidate gene expression,gene knock-down and knock-out studies,a leucine-rich repeat receptor-like kinase gene,PEP RECEPTOR 2(ZmPEPR2),was assigned as a PSR resistance gene.These results provide insights into the genetic architecture of resistance to PSR in maize,which should facilitate breeding maize for resistance to stalk rot.展开更多
Horizontal well-stimulation is the key to unconventional resource exploration and development.The development mode of the well plant helps increase the stimulated reservoir volume.Nevertheless,fracture interference be...Horizontal well-stimulation is the key to unconventional resource exploration and development.The development mode of the well plant helps increase the stimulated reservoir volume.Nevertheless,fracture interference between wells reduces the fracturing effect.Here,a 2D hydro-mechanical coupling model describing hydraulic fracture(HF)propagation is established with the extended finite element method,and the effects of several factors on HF propagation during multiple wells fracturing are analyzed.The results show that with an increase in elastic modulus,horizontal principal stress difference and injection fluid displacement,the total fracture area and the reservoir stimulation efficiency are both improved in all three fracturing technologies.After a comparison of the three technologies,the method of improved zipper fracturing is proposed,which avoids mutual interference between HFs,and the reservoir stimulation effect is improved significantly.The study provides guidance for optimizing the fracturing technology of multiple horizontal wells.展开更多
The annual compliance cycle of the carbon trading system allows generation companies(GenCos)to decouple the timing of carbon allowance purchases from their actual emissions.However,trading a large volume of allowances...The annual compliance cycle of the carbon trading system allows generation companies(GenCos)to decouple the timing of carbon allowance purchases from their actual emissions.However,trading a large volume of allowances within a single day can significantly impact on carbon prices.Faced with uncertain future carbon and electricity prices,GenCos must address a challenging multistage stochastic optimization problem to coordinate their carbon trading strategies with daily power generation decisions.In this paper,a two-layered hybrid mathematical-deep reinforcement learning(DRL)optimization framework is proposed.The upper DRL layer tackles the stochastic,year-long carbon trading and allowance usage optimization problem,aiming for long-term optimality and providing guidance for short-term decisions in the lower layer.The lower mathematical optimization layer addresses the deterministic daily power generation schedule problem while enforcing strict technical constraints.To accelerate learning of the annual compliance cycle,a decision timeline transfer learning method is proposed,enabling the DRL agent to progressively refine its policy through sequentially training on monthly,weekly and daily decision environments.Case studies demonstrate that,with these methods,a GenCo can reduce emission costs and increase profits by effectively leveraging carbon price fluctuations within the compliance cycle.展开更多
Maize(Zea mays)is one of the most important crops in the world,but its yield and quality are seriously affected by diverse diseases.Identifying broad-spectrum resistance genes is crucial for developing effective strat...Maize(Zea mays)is one of the most important crops in the world,but its yield and quality are seriously affected by diverse diseases.Identifying broad-spectrum resistance genes is crucial for developing effective strategies to control the disease in maize.In a genome-wide study in maize,we identified a G-type lectin receptor kinase ZmLecRK1,as a new resistance protein against Pythium aphanidermatum,one of the causal pathogens of stalk rot in maize.Genetic analysis showed that the specific ZmLecRK1 allele can confer resistance to multiple pathogens in maize.The cell death and disease resistance phenotype mediated by the resistant variant of ZmLecRK1 requires the co-receptor ZmBAK1.A naturally occurring A404S variant in the extracellular domain of ZmLecRK1 determines the ZmLecRK1-ZmBAK1 interaction and the formation of ZmLecRK1-related protein complexes.Interestingly,the ZmLecRK1 susceptible variant was found to possess the amino acid S404 that is present in the ancestral variants of ZmLecRK1 and conserved among the majority of grass species,while the resistance variant of ZmLecRK1 with A404 is only present in a few maize inbred lines.Substitution of S by A at position 404 in ZmLecRK1-like proteins of sorghum and rice greatly enhances their ability to induce cell death.Further transcriptomic analysis reveals that ZmLecRK1 likely regulates gene expression related to the pathways in cell wall organization or biogenesis in response to pathogen infection.Taken together,these results suggest that the ZmLecRK1 resistance variant enhances its binding affinity to the co-receptor ZmBAK1,thereby enhancing the formation of active complexes for defense in maize.Our work highlights the biotechnological potential for generating disease-resistant crops by precisely modulating the activity of ZmLecRK1 and its homologs through targeted base editing.展开更多
Nucleic acid drugs are emerging as a novel biotherapeutic modality for disease treatment,targeting nucleic acids to regulate the protein translation process and thereby facilitating disease management.They hold signif...Nucleic acid drugs are emerging as a novel biotherapeutic modality for disease treatment,targeting nucleic acids to regulate the protein translation process and thereby facilitating disease management.They hold significant promise in biomedical applications and treatment avenues.Given their negative charge,high molecular weight,and hydrophilic properties,nucleic acid drugs require carriers to traverse multiple biological barriers and facilitate intracellular delivery.Cationic material-based carriers present an unprecedented opportunity to address these challenges through electrostatic interactions with nucleic acids.However,concerns regarding the biosafety and cytotoxic responses of cationic materials have emerged in early clinical studies.As a result,the use of non-cationic polymer carriers,by controlling or circumventing the use of cationic materials,represents a promising approach for nucleic acid delivery.In this review,we highlight various designs of non-cationic polymer carriers that go beyond the principle of electrostatic interactions,including conjugation,chemical bonding,physical crosslinking,hydrophobic interactions,and coordination bonding with nucleic acids.Additionally,we discuss strategies for enhancing the efficiency of nucleic acid delivery and therapeutic effects of non-cationic polymer carriers,focusing on targeted delivery,cellular internalization,and endosomal escape.展开更多
Benefiting from the progress of power electronics technology,distributed generation technology is developing rapidly.Since microgrids cannot rely on traditional multi-time scale control strategies to ensure the high-q...Benefiting from the progress of power electronics technology,distributed generation technology is developing rapidly.Since microgrids cannot rely on traditional multi-time scale control strategies to ensure the high-quality frequency stability control and economic dispatch in the same time scale,this paper proposes an extreme dynamic programming algorithm.The proposed algorithm takes an adaptive dynamic programming algorithm as the framework,an extreme learning machine as a kernel of the evaluation module,a model module,an implementation module and a new prediction module.The resulting unified time scale intelligent control algorithm better realizes the combined functions of“droop control+automatic generation control+economic dispatch”in the traditional opermode.Finally,in order to verify the effectiveness of the proposed algorithm,a microgrid model of 8 nodes is simulated.The results confirm the feasibility and validity of the proposed extreme dynamic programming algorithm.展开更多
基金supported by National Natural Science Foundation of China(32302371 to Junbin Chen)the National Key Research and Development Program,Ministry of Science and Technology of China(2022YFD1201802 to Wangsheng Zhu)Research Program from State Key Laboratory of Maize Biobreeding(SKLMB2424 to Wangsheng Zhu).
文摘Pythium stalk rot(PSR)is a destructive disease of maize,severely affecting yield and grain quality.The identification of quantitative trait loci(QTL)or genes for resistance to PSR forms the basis of diseaseresistant hybrids breeding.In this study,a major QTL,Resistance to Pythium stalk rot 1(RPSR1),was identified from a set of recombinant inbred lines derived from MS71 and POP.Using a recombinant progeny testing strategy,RPSR1 was fine-mapped in a 472 kb interval.Through candidate gene expression,gene knock-down and knock-out studies,a leucine-rich repeat receptor-like kinase gene,PEP RECEPTOR 2(ZmPEPR2),was assigned as a PSR resistance gene.These results provide insights into the genetic architecture of resistance to PSR in maize,which should facilitate breeding maize for resistance to stalk rot.
基金funded by Shaanxi Natural Science Basic Research Program Project Study on Liquid Propellant High Energy Gas Fracturing Mechanism in Radial Well Based on Phase Field Method(No.2019JQ-824)NSFC Projects Evolution Mechanism and Effectiveness Evaluation of Fracture Network Produced by Volume Fracturing with Tighter Clusters in Continental Shale Oil Reservoir(No.52274040)+1 种基金Study on Thermal Secondary Pore Evolution and Salt Precipitation Regulation Mechanism in Fire Flooding Reservoirs Based on Multi-field Coupling of Thermal-Flow-Solid-Chemical(No.52274039)Xi’an Shiyou University Youth Scientific Research and Innovation Team Operation Funds in 2018 Flow Mechanism of Complex Reservoirs and High Efficiency Development and Oil Production Technology(No.115080020).
文摘Horizontal well-stimulation is the key to unconventional resource exploration and development.The development mode of the well plant helps increase the stimulated reservoir volume.Nevertheless,fracture interference between wells reduces the fracturing effect.Here,a 2D hydro-mechanical coupling model describing hydraulic fracture(HF)propagation is established with the extended finite element method,and the effects of several factors on HF propagation during multiple wells fracturing are analyzed.The results show that with an increase in elastic modulus,horizontal principal stress difference and injection fluid displacement,the total fracture area and the reservoir stimulation efficiency are both improved in all three fracturing technologies.After a comparison of the three technologies,the method of improved zipper fracturing is proposed,which avoids mutual interference between HFs,and the reservoir stimulation effect is improved significantly.The study provides guidance for optimizing the fracturing technology of multiple horizontal wells.
基金supported by the Natural Science Foundation of China-Smart Grid Joint Fund of State Grid Corporation of China(No.U2066212)the Na-tional Natural Science Foundation of China(No.52207105)the Key Science and Technology Pro-jects of China Southern Power Grid Corporation(No.066600KK52222023).
文摘The annual compliance cycle of the carbon trading system allows generation companies(GenCos)to decouple the timing of carbon allowance purchases from their actual emissions.However,trading a large volume of allowances within a single day can significantly impact on carbon prices.Faced with uncertain future carbon and electricity prices,GenCos must address a challenging multistage stochastic optimization problem to coordinate their carbon trading strategies with daily power generation decisions.In this paper,a two-layered hybrid mathematical-deep reinforcement learning(DRL)optimization framework is proposed.The upper DRL layer tackles the stochastic,year-long carbon trading and allowance usage optimization problem,aiming for long-term optimality and providing guidance for short-term decisions in the lower layer.The lower mathematical optimization layer addresses the deterministic daily power generation schedule problem while enforcing strict technical constraints.To accelerate learning of the annual compliance cycle,a decision timeline transfer learning method is proposed,enabling the DRL agent to progressively refine its policy through sequentially training on monthly,weekly and daily decision environments.Case studies demonstrate that,with these methods,a GenCo can reduce emission costs and increase profits by effectively leveraging carbon price fluctuations within the compliance cycle.
基金supported by Biological Breeding-National Science and Technology Major Project(no.2023ZD04070,W.Z.)the National Key Research and Development Program,Ministry of Science and Technology of China(no.2022YFD1201802,W.Z.)+1 种基金the National Natural Science Foundation of China(no.32472499,W.Z.)the Pinduoduo-China Agricultural University Research Fund(no.PC2023A01005,Y.-L.P.).
文摘Maize(Zea mays)is one of the most important crops in the world,but its yield and quality are seriously affected by diverse diseases.Identifying broad-spectrum resistance genes is crucial for developing effective strategies to control the disease in maize.In a genome-wide study in maize,we identified a G-type lectin receptor kinase ZmLecRK1,as a new resistance protein against Pythium aphanidermatum,one of the causal pathogens of stalk rot in maize.Genetic analysis showed that the specific ZmLecRK1 allele can confer resistance to multiple pathogens in maize.The cell death and disease resistance phenotype mediated by the resistant variant of ZmLecRK1 requires the co-receptor ZmBAK1.A naturally occurring A404S variant in the extracellular domain of ZmLecRK1 determines the ZmLecRK1-ZmBAK1 interaction and the formation of ZmLecRK1-related protein complexes.Interestingly,the ZmLecRK1 susceptible variant was found to possess the amino acid S404 that is present in the ancestral variants of ZmLecRK1 and conserved among the majority of grass species,while the resistance variant of ZmLecRK1 with A404 is only present in a few maize inbred lines.Substitution of S by A at position 404 in ZmLecRK1-like proteins of sorghum and rice greatly enhances their ability to induce cell death.Further transcriptomic analysis reveals that ZmLecRK1 likely regulates gene expression related to the pathways in cell wall organization or biogenesis in response to pathogen infection.Taken together,these results suggest that the ZmLecRK1 resistance variant enhances its binding affinity to the co-receptor ZmBAK1,thereby enhancing the formation of active complexes for defense in maize.Our work highlights the biotechnological potential for generating disease-resistant crops by precisely modulating the activity of ZmLecRK1 and its homologs through targeted base editing.
基金supported by the National Natural Science Foundation of China(U22A20156,52173121)Guangdong Basic and Applied Basic Research Foundation(2024A1515011130).
文摘Nucleic acid drugs are emerging as a novel biotherapeutic modality for disease treatment,targeting nucleic acids to regulate the protein translation process and thereby facilitating disease management.They hold significant promise in biomedical applications and treatment avenues.Given their negative charge,high molecular weight,and hydrophilic properties,nucleic acid drugs require carriers to traverse multiple biological barriers and facilitate intracellular delivery.Cationic material-based carriers present an unprecedented opportunity to address these challenges through electrostatic interactions with nucleic acids.However,concerns regarding the biosafety and cytotoxic responses of cationic materials have emerged in early clinical studies.As a result,the use of non-cationic polymer carriers,by controlling or circumventing the use of cationic materials,represents a promising approach for nucleic acid delivery.In this review,we highlight various designs of non-cationic polymer carriers that go beyond the principle of electrostatic interactions,including conjugation,chemical bonding,physical crosslinking,hydrophobic interactions,and coordination bonding with nucleic acids.Additionally,we discuss strategies for enhancing the efficiency of nucleic acid delivery and therapeutic effects of non-cationic polymer carriers,focusing on targeted delivery,cellular internalization,and endosomal escape.
基金This work was supported in part by the National Natural Science Foundation of China(51777078,51477055).
文摘Benefiting from the progress of power electronics technology,distributed generation technology is developing rapidly.Since microgrids cannot rely on traditional multi-time scale control strategies to ensure the high-quality frequency stability control and economic dispatch in the same time scale,this paper proposes an extreme dynamic programming algorithm.The proposed algorithm takes an adaptive dynamic programming algorithm as the framework,an extreme learning machine as a kernel of the evaluation module,a model module,an implementation module and a new prediction module.The resulting unified time scale intelligent control algorithm better realizes the combined functions of“droop control+automatic generation control+economic dispatch”in the traditional opermode.Finally,in order to verify the effectiveness of the proposed algorithm,a microgrid model of 8 nodes is simulated.The results confirm the feasibility and validity of the proposed extreme dynamic programming algorithm.
