Bacterial blight(BB),caused by Xanthomonas oryzae pathovar oryzae(Xoo),poses a significant threat to rice production,particularly in Asia and West Africa.Breeding resistance against BB in elite rice varieties is cruci...Bacterial blight(BB),caused by Xanthomonas oryzae pathovar oryzae(Xoo),poses a significant threat to rice production,particularly in Asia and West Africa.Breeding resistance against BB in elite rice varieties is crucial to advancing rice breeding program and supporting smallholder farmers.Transcription Activator-Like effectors(TALes)are key virulence factors in Xoo,with some targeting the susceptibility(S)genes such as the sugar transporter SWEET genes in rice.Among these,SWEET14 is an important S gene,with its promoter bound by the TALe TalC which exists across all sequenced African Xoo isolates.In the present study,we utilized CRISPR/Cas9-based cytidine and adenine base editors to alter the effector binding element(EBE)of TalC in the promoter of SWEET14 in rice cultivars Kitaake,IR24,and Zhonghua 11.Mutations with C to T changes in EBE led to reduced SWEET14 induction by TalC-containing Xoo strains,resulting in resistance to African Xoo isolates reliant on TalC for virulence.Conversely,A to G changes retained SWEET14 inducibility and susceptibility to Xoo in edited lines.Importantly,no off-target mutations were detected at predicted sites,and the edited lines exhibited no obvious defects in major agronomic traits in Kitaake.These results underscore the effectiveness of base editing systems for both molecular biology research and crop improvement endeavors.展开更多
Due to the lack of accurate data and complex parameterization,the prediction of groundwater depth is a chal-lenge for numerical models.Machine learning can effectively solve this issue and has been proven useful in th...Due to the lack of accurate data and complex parameterization,the prediction of groundwater depth is a chal-lenge for numerical models.Machine learning can effectively solve this issue and has been proven useful in the prediction of groundwater depth in many areas.In this study,two new models are applied to the prediction of groundwater depth in the Ningxia area,China.The two models combine the improved dung beetle optimizer(DBO)algorithm with two deep learning models:The Multi-head Attention-Convolution Neural Network-Long Short Term Memory networks(MH-CNN-LSTM)and the Multi-head Attention-Convolution Neural Network-Gated Recurrent Unit(MH-CNN-GRU).The models with DBO show better prediction performance,with larger R(correlation coefficient),RPD(residual prediction deviation),and lower RMSE(root-mean-square error).Com-pared with the models with the original DBO,the R and RPD of models with the improved DBO increase by over 1.5%,and the RMSE decreases by over 1.8%,indicating better prediction results.In addition,compared with the multiple linear regression model,a traditional statistical model,deep learning models have better prediction performance.展开更多
Photosynthesis is one the most important chemical reaction in plants,and it is the ultimate energy source of any living organisms.The light and dark reactions are two essential phases of photosynthesis.Light reaction ...Photosynthesis is one the most important chemical reaction in plants,and it is the ultimate energy source of any living organisms.The light and dark reactions are two essential phases of photosynthesis.Light reaction harvests light energy to synthesize ATP and NADPH through an electron transport chain,and as well as giving out O_(2);dark reaction fixes CO_(2) into six carbon sugars by utilizing NADPH and energy from ATP.Subsequently,plants convert optical energy into chemical energy for maintaining growth and development through absorbing light energy.Here,firstly,we highlighted the biological importance of photosynthesis,and hormones and metabolites,photosynthetic and regulating enzymes,and signaling components that collectively regulate photosynthesis in tomato.Next,we reviewed the advances in tomato photosynthesis,including two aspects of genetic basis and genetic improvement.Numerous genes regulating tomato photosynthesis are gradually uncovered,and the interaction network among those genes remains to be constructed.Finally,the photosynthesis occurring in fruit of tomato and the relationship between photosynthesis in leaf and fruit were discussed.Leaves and fruits are photosynthate sources and sinks of tomato respectively,and interaction between photosynthesis in leaf and fruit exists.Additionally,future perspectives that needs to be addressed on tomato photosynthesis were proposed.展开更多
Green development is vital for bringing about high-quality development,which makes measuring and comparing provincial green development levels essential.This study calculates the comprehensive green development scores...Green development is vital for bringing about high-quality development,which makes measuring and comparing provincial green development levels essential.This study calculates the comprehensive green development scores using panel data from 30 Chinese provinces and autonomous regions(2013-2022)and a combined subjective-objective weighting method.It also innovatively establishes a grey relational degree matrix and a grey improvement sequence to analyze provincial similarities and identify benchmarks for improvement.The results indicate that ecological and environmental protection holds the highest weight among the primary indicators.Beijing,Shanghai,Tianjin,Zhejiang,and Jiangsu lead in green development,with Shanghai,Beijing,and Tianjin exhibiting distinct development trajectories,while Guizhou and Yunnan share a similar trend.Zhejiang and Shaanxi have prominent benchmarks for improvement,while some provinces dynamically adjust their targets.The results suggest that advanced regions should further refine their green development pathways to align with their specific contexts,while less-developed regions should adaptively learn from the appropriate benchmarks and periodically reassess their strategies.This study provides scientific guidance for regional green development planning,policymaking,and benchmarking,thus contributing to sustainable regional development.Furthermore,it lays a foundation for future research to expand into broader datasets,scales,influencing factors,and policy evaluations.展开更多
Advances in gene editing and natural genetic variability present significant opportunities to generate novel alleles and select natural sources of genetic variation for horticulture crop improvement.The genetic improv...Advances in gene editing and natural genetic variability present significant opportunities to generate novel alleles and select natural sources of genetic variation for horticulture crop improvement.The genetic improvement of crops to enhance their resilience to abiotic stresses and new pests due to climate change is essential for future food security.The field of genomics has made significant strides over the past few decades,enabling us to sequence and analyze entire genomes.However,understanding the complex relationship between genes and their expression in phenotypes-the observable characteristics of an organism-requires a deeper understanding of phenomics.Phenomics seeks to link genetic information with biological processes and environmental factors to better understand complex traits and diseases.Recent breakthroughs in this field include the development of advanced imaging technologies,artificial intelligence algorithms,and large-scale data analysis techniques.These tools have enabled us to explore the relationships between genotype,phenotype,and environment in unprecedented detail.This review explores the importance of understanding the complex relationship between genes and their expression in phenotypes.Integration of genomics with efficient high throughput plant phenotyping as well as the potential of machine learning approaches for genomic and phenomics trait discovery.展开更多
BACKGROUND Cognitive impairment is a major cause of disability in patients who have suffered from a stroke,and cognitive rehabilitation interventions show promise for improving memory.AIM To examine the effectiveness ...BACKGROUND Cognitive impairment is a major cause of disability in patients who have suffered from a stroke,and cognitive rehabilitation interventions show promise for improving memory.AIM To examine the effectiveness of virtual reality(VR)and non-VR(NVR)cognitive rehabilitation techniques for improving memory in patients after stroke.METHODS An extensive and thorough search was executed across five pertinent electronic databases:Cumulative Index to Nursing and Allied Health Literature;MEDLINE(PubMed);Scopus;ProQuest Central;and Google Scholar.This systematic review was conducted following the preferred reporting items for systematic reviews and meta-analyses guideline.Studies that recruited participants who experienced a stroke,utilized cognitive rehabilitation interventions,and published in the last 10 years were included in the review.RESULTS Thirty studies met the inclusion criteria.VR interventions significantly improved memory and cognitive function(mean difference:4.2±1.3,P<0.05),whereas NVR(including cognitive training,music,and exercise)moderately improved memory.Compared with traditional methods,technology-driven VR approaches were particularly beneficial for enhancing daily cognitive tasks.CONCLUSION VR and NVR reality interventions are beneficial for post-stroke cognitive recovery,with VR providing enhanced immersive experiences.Both approaches hold transformative potential for post-stroke rehabilitation.展开更多
Background Unveiling genetic diversity features and understanding the genetic mechanisms of diverse goat pheno-types are pivotal in facilitating the preservation and utilization of these genetic resources.However,the ...Background Unveiling genetic diversity features and understanding the genetic mechanisms of diverse goat pheno-types are pivotal in facilitating the preservation and utilization of these genetic resources.However,the total genetic diversity within a species can’t be captured by the reference genome of a single individual.The pan-genome is a col-lection of all the DNA sequences that occur in a species,and it is expected to capture the total genomic diversity of the specific species.Results We constructed a goat pan-genome using map-to-pan assemble based on 813 individuals,including 723 domestic goats and 90 samples from their wild relatives,which presented a broad regional and global represen-tation.In total,146 Mb sequences and 974 genes were identified as absent from the reference genome(ARS1.2;GCF_001704415.2).We identified 3,190 novel single nucleotide polymorphisms(SNPs)using the pan-genome analysis.These novel SNPs could properly reveal the population structure of domestic goats and their wild relatives.Presence/absence variation(PAV)analysis revealed gene loss and intense negative selection during domestication and improvement.Conclusions Our research highlights the importance of the goat pan-genome in capturing the missing genetic variations.It reveals the changes in genomic architecture during goat domestication and improvement,such as gene loss.This improves our understanding of the evolutionary and breeding history of goats.展开更多
The Japanese quail (Coturnix japonica) is a disease-resistant, high-productivity bird. It has few breeding constraints. A phenotypic characterization study of the Japanese quail was carried out in southern Côte d...The Japanese quail (Coturnix japonica) is a disease-resistant, high-productivity bird. It has few breeding constraints. A phenotypic characterization study of the Japanese quail was carried out in southern Côte d’Ivoire to gain a better understanding of this bird. The study involved 298 individuals. The phenotypes were white, black, gray, and red. A total of 11 morphometric parameters were examined. Variables were significantly different between the phenotype and sex groups. The female quail was larger than the male quail. The quail was 20.77 and 4.10 cm long. The head was supported by a 5.89 cm-long neck. The tail was 3.61 cm long. The wing length was 10.42 cm, and the thigh diameter was 2.12 cm. The tarsus was 3.39 cm long and 0.61 cm in diameter. The average quail weight was 297.06 g. The quails in this study exhibit a high degree of morphological variation between individuals in terms of plumage. These results can help develop strategies for developing and genetically improving this short-cycle resource.展开更多
This work’s aim is to participate in local materials (raw or fiber improved), which can be used in sustainable and accessible buildings to every Senegalese. To do this, studied materials are respectively collected fr...This work’s aim is to participate in local materials (raw or fiber improved), which can be used in sustainable and accessible buildings to every Senegalese. To do this, studied materials are respectively collected from a laterite clay pit in Ndouloumadjie Dembe (Matam, Northern Senegal) and another from a termite mound in Tattaguine (Fatick, Central Senegal). These samples are first subjected to Geotechnical identification tests. Mud bricks are then made with raw or sifted millet involucre improved to 1%, 2%, and 3% at 5 mm sieve samples. These briquettes are subjected to compression tests and thermal evaluations. Lagrange and Newton methods of numeric modelling are used to test the whole mixture points between 1% and 3% millet involucre for a better correlation between mechanical and thermal parameters. The results show that in Matam, as well as in Tattaguine, these muds, raw or improved, are of good thermomechanical quality when they are used in bricks making. And the thermomechanical coupling quality reaches a maximum situated at 2.125% for Ndouloumadjie and 2.05% for Tattaguine. These briquettes’ building quality depends on the mud content used in iron, aluminum, silica and clay. Thus, same natural materials can be used in the establishment of habitats according to their geotechnical, chemical, mechanical and thermal characteristics.展开更多
University student Party branches serve as the Party’s grassroots organizations within universities and act as a bridge and link between the Party and students.Therefore,it is essential to strengthen the development ...University student Party branches serve as the Party’s grassroots organizations within universities and act as a bridge and link between the Party and students.Therefore,it is essential to strengthen the development of student Party branches and enhance the effectiveness of student Party member education and training.This paper summarizes and analyzes the issues in the construction of student Party branches in universities and explores strategies for improving their quality,aiming to provide a reference for relevant personnel.展开更多
Abiotic stresses such as drought,heat,salinity,and heavy metal contamination severely affect global agricultural productivity.Between 2005 and 2015,droughts caused losses of approximately USD 29 billion in developing ...Abiotic stresses such as drought,heat,salinity,and heavy metal contamination severely affect global agricultural productivity.Between 2005 and 2015,droughts caused losses of approximately USD 29 billion in developing countries,and from 2008 to 2018,droughts accounted for over 34%of crop and livestock yield losses,totaling about USD 37 billion.To support the growing human population,agricultural output must increase substantially,necessitating a 60%–100%rise in crop productivity to meet the escalating demand.To address environmental challenges,organic,inorganic,and microbial biostimulants are increasingly employed to enhance plant resilience through various morphological,physiological,and biochemical modifications.Plant biostimulants enhance plant resilience under abiotic stress through mechanisms such as abscisic acid signaling modulation,which regulates stomatal closure to reduce water loss during drought and heat stress.Additionally,they aid in scavenging reactive oxygen species and stabilizing ion channels,mitigating oxidative damage,and maintaining ionic balance under stress conditions such as salinity.This review summarizes recent advancements in applying these biostimulants,focusing on their roles in triggering morphological,physiological,biochemical,and molecular changes that collectively enhance plant resilience under stress conditions.It also includes a bibliometric analysis of all articles published on biostimulants from 2019 to 2024 and explores future research directions.Emphasis was placed on optimizing biostimulant formulations and understanding their synergistic effects to maximize their efficacy under various stress conditions.By integrating biostimulants into agricultural practices,we can adopt a sustainable strategy to safeguard crop productivity in the face of climate change and environmental stressors.展开更多
BACKGROUND At present,there is a lack of non-invasive indicators to evaluate the changes in endoscopic activity between two visits for patients with Crohn's disease(CD).AIM To develop a model for predicting whethe...BACKGROUND At present,there is a lack of non-invasive indicators to evaluate the changes in endoscopic activity between two visits for patients with Crohn's disease(CD).AIM To develop a model for predicting whether endoscopic activity will improve in CD patients.METHODS This is a single-center retrospective study that included patients diagnosed with CD from January 2014 to December 2022.The patients were randomly divided into a modeling group(70%)and an internal validation group(30%),with an external validation group from January 2023 to March 2024.Univariate and binary logistic regression analyses were conducted to identify independent risk factors,which were used to construct a nomogram model.The model's performance was evaluated using receiver operating characteristic curves,calibration curves,and decision curve analysis(DCA).Additionally,further sensitivity analyses were performed.RESULTS One hundred seventy patients were included in the training group,while 64 were included in the external validation group.A binary logistic stepwise regression analysis revealed that the changes in the amplitudes of albumin(ALB)and fibrinogen(FIB)were independent risk factors for endoscopic improvement.A nomogram model was developed based on these risk factors.The area under the curve of the model for the training group,internal validation group,and external validation group were 0.802,0.788,and 0.787,respectively.The average absolute errors of the calibration curves were 0.011,0.016,and 0.018,respectively.DCA indicated that the model performs well in clinical practice.Additionally,sensitivity analysis demonstrated that the model has strong robustness and applicability.CONCLUSION Our study shows that changes in the amplitudes of ALB and FIB are effective predictors of endoscopic improvement in patients with CD during follow-up visits compared to their previous ones.展开更多
This study addresses the challenges posed by dispersive soil in various engineering fields,including hydraulic and agricultural engineering,by exploring the effects of physical adsorption on soil modification.The prim...This study addresses the challenges posed by dispersive soil in various engineering fields,including hydraulic and agricultural engineering,by exploring the effects of physical adsorption on soil modification.The primary objective is to identify an environmentally friendly stabilizer that can alleviate cracking and erosion resulting from soil dispersivity.Activated carbon(AC),known for its porous nature,was examined for its potential to enhance soil strength and erosion resistance.The charge neutralization process was evaluated by monitoring pH and conductivity,in addition to a comprehensive analysis of microscopic and mineral properties.The results show that high sodium levels or low clay contents result in the dispersive nature of soil in water.However,the incorporation of AC can transform such soil into a non-dispersive state.Moreover,both soil strength and erosion resistance exhibited enhancements with increasing AC content and curing duration.The incorporation of AC resulted in a maximum 5.6-fold increase in unconfined compressive strength and a 1.8-fold increase in tensile strength for dispersive soil.Notably,a significant correlation was observed during the curing phase among soil dispersivity,mechanical properties,and pH values.Microscopic analyses revealed that the porous structure of AC facilitated a filling effect and enhanced adsorption capacity,which contributed to improved soil characteristics and reduced dispersivity.The release of hydrogen ions and the formation of aggregates promote water stability.Validation tests conducted on dispersive soil from northern Shaanxi demonstrated the efficacy of physical adsorption using AC as a viable method for modifying dispersive soil in the water conservancy hub.展开更多
Nitrogen (N) is a crucial nutrient vital for the growth and productivity of maize. However, excessive nitrogen application can result in numerous environmental and ecological problems, such as water pollution, biodive...Nitrogen (N) is a crucial nutrient vital for the growth and productivity of maize. However, excessive nitrogen application can result in numerous environmental and ecological problems, such as water pollution, biodiversity loss, and greenhouse gas emissions. Therefore, breeding maize hybrids resilient to low nitrogen conditions is crucial for sustainable agriculture, especially under low nitrogen conditions. Consequently, this study aimed to evaluate the combining ability and heterosis of maize lines, recognize promising hybrids, and study gene action controlling key traits under low and recommended N stress conditions. The half-diallel mating design hybridized seven maize inbreds, resulting in 21 F1 hybrids. These hybrids, along with two high-yielding commercial hybrids (SC10 and TWC310), were evaluated in field trials under recommended (290 kg/ha) and low N (166 kg N/ha) conditions. Significant variations were observed among assessed hybrids for all measured traits, with non-additive gene action being predominant for grain yield and its related characteristics under recommended and low N conditions. Inbred lines P105 and P106 were recognized as effective combiners for earliness, with P105 also excelling in shorter plant height and lower ear placement. In addition, P101, P102, and P104 were identified as good combiners for increasing grain yield and related attributes under low N conditions. The crosses P105 × P106 and P106 × P107 demonstrated outstanding heterotic effects for earliness, while hybrids P101 × P102 and P102 × P104 exhibited remarkable heterotic effects for grain yield low nitrogen stress conditions. These promising hybrids could be considered for commercial use after further evaluation. Strong positive correlations were found between grain yield and ear height, plant height, number of kernels per row, and 1000-grain weight, highlighting their importance for indirect selection to enhance the grain yield of maize under low N stress conditions.展开更多
Hydrodynamic cavitation,as an efficient technique applied in many physical and chemical treatment methods,has been widely used by various industries and in several technological fields.Relevant generators,designed wit...Hydrodynamic cavitation,as an efficient technique applied in many physical and chemical treatment methods,has been widely used by various industries and in several technological fields.Relevant generators,designed with specific structures and parameters,can produce cavitation effects,thereby enabling effective treatment and reasonable transformation of substances.This paper reviews the design principles,performance,and practical applications associated with different types of cavitation generators,aiming to provide theoretical support for the optimization of these systems.It systematically analyzes the underpinning mechanisms and the various factors influencing the cavitation phenomena,also conducting a comparative analysis of the performance of different types of generators.Specific applications dealing with wastewater treatment,chemical reaction acceleration,and other fields are discussed together with the advantages,disadvantages,and applicability of each type of cavitation generator.We also explore research progress in areas such as cavitation stability,energy efficiency,and equipment design upgrades.The study concludes by forecasting the application prospects of intelligent design and computational fluid dynamics(CFD)in optimizing and advancing cavitation generators.It proposes new ideas for the further development of cavitation technology and highlights directions for its widespread future application.展开更多
To improve the resilience of railway stations,a typical station was selected as the research object,and an isolation design was introduced.Twenty-four groups of near-fault pulse-like ground motions were selected.The s...To improve the resilience of railway stations,a typical station was selected as the research object,and an isolation design was introduced.Twenty-four groups of near-fault pulse-like ground motions were selected.The seismic resilience of the no-isolation railway stations(NIRS)and the isolation railway stations(IRS)were compared to provide a numerical result of the improvement in resilience.The results show that in the station isolation design,the station's functional requirements and structural characteristics should be considered and the appropriate placement of isolation bearings is under the waiting room.Under the action of a rare earthquake,the repair cost,repair time,rate of harm and death of the IRS were decreased by 8.04 million,18.30 days,6.93×10^(-3)and 1.21×10^(-3),respectively,when compared to the NIRS.The IRS received a seismic resilience grade of three-stars and the NIRS only one-star,indicating that rational isolation design improves the seismic resilience of stations.Thus,for the design of stations close to earthquake faults,it is suggested to utilize appropriate isolation techniques to improve their seismic resilience.展开更多
Enhancing the efficiency of Rankine cycles is crucial for improving the performance of thermal power plants,as it directly impacts operational costs and emissions in light of energy transition goals.This study sets it...Enhancing the efficiency of Rankine cycles is crucial for improving the performance of thermal power plants,as it directly impacts operational costs and emissions in light of energy transition goals.This study sets itself apart from existing research by applying a novel optimization technique to a basic ideal Rankine cycle,focusing on a specific power plant that has not been previously analyzed.Currently,this cycle operates at 41%efficiency and a steam quality of 76%,constrained by fixed operational parameters.The primary objectives are to increase thermal efficiency beyond 46%and raise steam quality above 85%,while adhering to operational limits:a boiler pressure not exceeding 15 MPa,condenser pressure not dropping below 10 kPa,and turbine temperature not surpassing 500℃.This study utilizes numerical simulations to model the effects of varying boiler pressure(Pb)and condenser pressure(Pc)within the ranges of 12MPa<Pb<15 MPa and 5 kPa<Pc<10 kPa.By systematically adjusting these parameters,the proposed aimto identify optimal conditions that maximize efficiency and performance within specified constraints.The findings will provide valuable insights for power plant operators seeking to optimize performance under real-world conditions,contributing to more efficient and sustainable power generation.展开更多
Biomineralization based on bacterial enzyme induced carbonate precipitation(BEICP)process is a promising alternative to cement-based ground treatment technology.The bacterial urease used in BEICP process is usually ul...Biomineralization based on bacterial enzyme induced carbonate precipitation(BEICP)process is a promising alternative to cement-based ground treatment technology.The bacterial urease used in BEICP process is usually ultrasonic extracted from urease-producing bacteria.To efficiently extract urease with relatively higher activity from bacterial cells,the ultrasonic extraction parameters of urease were optimized in this study.Next,a series of bacterial urease extraction tests and sand column treatment tests were conducted to investigate the effects of vibration amplitude,upper temperature limit,and cooling method on the urease extraction process and biomineralization of sand.The results show that the upper temperature limit is an important factor affecting the extraction efficiency and the activity of the extracted urease solution,and the optimum upper temperature limit is 50℃.The results indicate that increasing vibration amplitude could improve the extraction efficiency,but it hardly affects the urease activity(UA)under the optimal temperature.Continuous cooling could effectively simplify the operation and further improve the efficiency of urease extraction.Under the same urease activity of biotreatment solution,there is no marked difference in calcium carbonate content(CCC)and unconfined compressive strength of biomineralized sand columns prepared by urease solution extracted with different vibration amplitudes and upper temperature limits.The results of this study could provide a reference for application of BEICP technology of urease extraction to large-scale soil treatment.展开更多
Nicotiana tabacum(2n=4x=48),an economically important non-food crop and a model plant for genetic studies,faces challenges in efficient genotyping of novel germplasm.To address this,we developed the Ta-LD-SC,a 20K SNP...Nicotiana tabacum(2n=4x=48),an economically important non-food crop and a model plant for genetic studies,faces challenges in efficient genotyping of novel germplasm.To address this,we developed the Ta-LD-SC,a 20K SNP Affymetrix Axiom array,based on resequencing data from 150 tobacco accessions.A total of 20,213 unique SNPs were carefully selected,achieving coverage of over 90%of the tobacco genome(Nitab4.5 and NtaSR1)with a uniform probe distribution,limiting density to no more than 5 SNPs per 200 kb.The array underwent extensive validation using 866 tobacco accessions(NP panel)and 288 F2 individuals from a cross between K326 and Oxford 26(GP panel).Performance metrics demonstrated its robustness,with high SNP call rates(93.6%-99.8%),a low technical error rate(<1%),and a superior PolyHighResolution SNP rate(79.79%)compared to other crop SNP arrays.Population structure analysis of the NP panel revealed two major introductions of foreign germplasm that have significantly influenced the genetic diversity of Chinese tobacco resources.Using the array,a genome-wide association study(GWAS)identified 62 genes linked to eight agronomic traits,and a high-density genetic map encompassing 4553 SNPs across 6606.08 cM was constructed.The Ta-LD-SC array provides a valuable tool for rapid,high-quality genotyping offering supporting marker annotations that may benefit genetic research and breeding of tobacco.展开更多
The main function of a hot blast stove is to deliver a high-temperature and stable hot blast to the blast furnace,which has an important impact on the blast furnace ironmaking process.To improve the combustion efficie...The main function of a hot blast stove is to deliver a high-temperature and stable hot blast to the blast furnace,which has an important impact on the blast furnace ironmaking process.To improve the combustion efficiency,a simulation model of the combustion part of an internal combustion hot blast stove was established by combining turbulence,combustion,and radiation models.Based on the original model,a new type of internal combustion hot blast stove is proposed.The results indicated insufficient combustion in the original structure and higher CO concentrations in the corners of the eyes at both ends of the combustor outlet,the recirculation area at the bottom of the combustion chamber was mainly concentrated in the middle part.With the new structure of the hot blast stove,the gas baffles with different inclination angles are added to the rectangular burner,at the outlet of the combustion chamber,the CO concentration is reduced to a certain extent,and the temperature distribution is more uniform.When the inclination angle of the gas baffle is 60°,the combustion chamber outlet section average temperature rises from 1686 K to 1693 K,the outlet flue gas average volume fraction of CO decreases the most,and the average volume fraction of CO decreases from 0.00708%to 0.00568%,which could reduce the CO content by about 20%.展开更多
基金supported by a sub-award to the University of Missouri from the Heinrich Heine University of Dusseldorf funded by the Bill&Melinda Gates Foundation(OPP1155704)(Bing Yang)and the China Scholar Council(Chenhao Li,as a joint Ph.D.student).
文摘Bacterial blight(BB),caused by Xanthomonas oryzae pathovar oryzae(Xoo),poses a significant threat to rice production,particularly in Asia and West Africa.Breeding resistance against BB in elite rice varieties is crucial to advancing rice breeding program and supporting smallholder farmers.Transcription Activator-Like effectors(TALes)are key virulence factors in Xoo,with some targeting the susceptibility(S)genes such as the sugar transporter SWEET genes in rice.Among these,SWEET14 is an important S gene,with its promoter bound by the TALe TalC which exists across all sequenced African Xoo isolates.In the present study,we utilized CRISPR/Cas9-based cytidine and adenine base editors to alter the effector binding element(EBE)of TalC in the promoter of SWEET14 in rice cultivars Kitaake,IR24,and Zhonghua 11.Mutations with C to T changes in EBE led to reduced SWEET14 induction by TalC-containing Xoo strains,resulting in resistance to African Xoo isolates reliant on TalC for virulence.Conversely,A to G changes retained SWEET14 inducibility and susceptibility to Xoo in edited lines.Importantly,no off-target mutations were detected at predicted sites,and the edited lines exhibited no obvious defects in major agronomic traits in Kitaake.These results underscore the effectiveness of base editing systems for both molecular biology research and crop improvement endeavors.
基金supported by the National Natural Science Foundation of China [grant numbers 42088101 and 42375048]。
文摘Due to the lack of accurate data and complex parameterization,the prediction of groundwater depth is a chal-lenge for numerical models.Machine learning can effectively solve this issue and has been proven useful in the prediction of groundwater depth in many areas.In this study,two new models are applied to the prediction of groundwater depth in the Ningxia area,China.The two models combine the improved dung beetle optimizer(DBO)algorithm with two deep learning models:The Multi-head Attention-Convolution Neural Network-Long Short Term Memory networks(MH-CNN-LSTM)and the Multi-head Attention-Convolution Neural Network-Gated Recurrent Unit(MH-CNN-GRU).The models with DBO show better prediction performance,with larger R(correlation coefficient),RPD(residual prediction deviation),and lower RMSE(root-mean-square error).Com-pared with the models with the original DBO,the R and RPD of models with the improved DBO increase by over 1.5%,and the RMSE decreases by over 1.8%,indicating better prediction results.In addition,compared with the multiple linear regression model,a traditional statistical model,deep learning models have better prediction performance.
基金supported by grants from the National Key Research&Development Plan(Grants Nos.2022YFF10030022022YFD1200502)+7 种基金National Natural Science Foundation of China(Grant Nos.3237269631991182)Wuhan Biological Breeding Major Project(Grant No.2022021302024852)Key Project of Hubei Hongshan Laboratory(2021hszd007)HZAU-AGIS Cooperation Fund(Grant No.SZYJY2023022)Funds for High Quality Development of Hubei Seed Industry(HBZY2023B004)Hubei Agriculture Research System(2023HBSTX4-06)Hubei Key Research&Development Plan(Grants Nos.2022BBA0066,2022BBA0062)。
文摘Photosynthesis is one the most important chemical reaction in plants,and it is the ultimate energy source of any living organisms.The light and dark reactions are two essential phases of photosynthesis.Light reaction harvests light energy to synthesize ATP and NADPH through an electron transport chain,and as well as giving out O_(2);dark reaction fixes CO_(2) into six carbon sugars by utilizing NADPH and energy from ATP.Subsequently,plants convert optical energy into chemical energy for maintaining growth and development through absorbing light energy.Here,firstly,we highlighted the biological importance of photosynthesis,and hormones and metabolites,photosynthetic and regulating enzymes,and signaling components that collectively regulate photosynthesis in tomato.Next,we reviewed the advances in tomato photosynthesis,including two aspects of genetic basis and genetic improvement.Numerous genes regulating tomato photosynthesis are gradually uncovered,and the interaction network among those genes remains to be constructed.Finally,the photosynthesis occurring in fruit of tomato and the relationship between photosynthesis in leaf and fruit were discussed.Leaves and fruits are photosynthate sources and sinks of tomato respectively,and interaction between photosynthesis in leaf and fruit exists.Additionally,future perspectives that needs to be addressed on tomato photosynthesis were proposed.
文摘Green development is vital for bringing about high-quality development,which makes measuring and comparing provincial green development levels essential.This study calculates the comprehensive green development scores using panel data from 30 Chinese provinces and autonomous regions(2013-2022)and a combined subjective-objective weighting method.It also innovatively establishes a grey relational degree matrix and a grey improvement sequence to analyze provincial similarities and identify benchmarks for improvement.The results indicate that ecological and environmental protection holds the highest weight among the primary indicators.Beijing,Shanghai,Tianjin,Zhejiang,and Jiangsu lead in green development,with Shanghai,Beijing,and Tianjin exhibiting distinct development trajectories,while Guizhou and Yunnan share a similar trend.Zhejiang and Shaanxi have prominent benchmarks for improvement,while some provinces dynamically adjust their targets.The results suggest that advanced regions should further refine their green development pathways to align with their specific contexts,while less-developed regions should adaptively learn from the appropriate benchmarks and periodically reassess their strategies.This study provides scientific guidance for regional green development planning,policymaking,and benchmarking,thus contributing to sustainable regional development.Furthermore,it lays a foundation for future research to expand into broader datasets,scales,influencing factors,and policy evaluations.
基金supported this research through the National Research Foundation of Korea(NRF),funded by the Ministry of Education(2019R1A6A1A11052070)。
文摘Advances in gene editing and natural genetic variability present significant opportunities to generate novel alleles and select natural sources of genetic variation for horticulture crop improvement.The genetic improvement of crops to enhance their resilience to abiotic stresses and new pests due to climate change is essential for future food security.The field of genomics has made significant strides over the past few decades,enabling us to sequence and analyze entire genomes.However,understanding the complex relationship between genes and their expression in phenotypes-the observable characteristics of an organism-requires a deeper understanding of phenomics.Phenomics seeks to link genetic information with biological processes and environmental factors to better understand complex traits and diseases.Recent breakthroughs in this field include the development of advanced imaging technologies,artificial intelligence algorithms,and large-scale data analysis techniques.These tools have enabled us to explore the relationships between genotype,phenotype,and environment in unprecedented detail.This review explores the importance of understanding the complex relationship between genes and their expression in phenotypes.Integration of genomics with efficient high throughput plant phenotyping as well as the potential of machine learning approaches for genomic and phenomics trait discovery.
文摘BACKGROUND Cognitive impairment is a major cause of disability in patients who have suffered from a stroke,and cognitive rehabilitation interventions show promise for improving memory.AIM To examine the effectiveness of virtual reality(VR)and non-VR(NVR)cognitive rehabilitation techniques for improving memory in patients after stroke.METHODS An extensive and thorough search was executed across five pertinent electronic databases:Cumulative Index to Nursing and Allied Health Literature;MEDLINE(PubMed);Scopus;ProQuest Central;and Google Scholar.This systematic review was conducted following the preferred reporting items for systematic reviews and meta-analyses guideline.Studies that recruited participants who experienced a stroke,utilized cognitive rehabilitation interventions,and published in the last 10 years were included in the review.RESULTS Thirty studies met the inclusion criteria.VR interventions significantly improved memory and cognitive function(mean difference:4.2±1.3,P<0.05),whereas NVR(including cognitive training,music,and exercise)moderately improved memory.Compared with traditional methods,technology-driven VR approaches were particularly beneficial for enhancing daily cognitive tasks.CONCLUSION VR and NVR reality interventions are beneficial for post-stroke cognitive recovery,with VR providing enhanced immersive experiences.Both approaches hold transformative potential for post-stroke rehabilitation.
基金Strategic Priority Research Program of Chinese Academy of Sciences(No.XDA24030205)National Natural Science Foundation of China(Nos.U21A20246,32102511)+3 种基金National Key Research and Development Program-Key Projects(2021YFD1200900 and 2021YFD1300904)Second Tibetan Plateau Scientific Expedition and Research Program(STEP)(No.2019QZKK0501)Biological Breeding-National Science and Technology Major Project(2023ZD0407106)Chinese Universities Scientific Fund(2024TC162).
文摘Background Unveiling genetic diversity features and understanding the genetic mechanisms of diverse goat pheno-types are pivotal in facilitating the preservation and utilization of these genetic resources.However,the total genetic diversity within a species can’t be captured by the reference genome of a single individual.The pan-genome is a col-lection of all the DNA sequences that occur in a species,and it is expected to capture the total genomic diversity of the specific species.Results We constructed a goat pan-genome using map-to-pan assemble based on 813 individuals,including 723 domestic goats and 90 samples from their wild relatives,which presented a broad regional and global represen-tation.In total,146 Mb sequences and 974 genes were identified as absent from the reference genome(ARS1.2;GCF_001704415.2).We identified 3,190 novel single nucleotide polymorphisms(SNPs)using the pan-genome analysis.These novel SNPs could properly reveal the population structure of domestic goats and their wild relatives.Presence/absence variation(PAV)analysis revealed gene loss and intense negative selection during domestication and improvement.Conclusions Our research highlights the importance of the goat pan-genome in capturing the missing genetic variations.It reveals the changes in genomic architecture during goat domestication and improvement,such as gene loss.This improves our understanding of the evolutionary and breeding history of goats.
文摘The Japanese quail (Coturnix japonica) is a disease-resistant, high-productivity bird. It has few breeding constraints. A phenotypic characterization study of the Japanese quail was carried out in southern Côte d’Ivoire to gain a better understanding of this bird. The study involved 298 individuals. The phenotypes were white, black, gray, and red. A total of 11 morphometric parameters were examined. Variables were significantly different between the phenotype and sex groups. The female quail was larger than the male quail. The quail was 20.77 and 4.10 cm long. The head was supported by a 5.89 cm-long neck. The tail was 3.61 cm long. The wing length was 10.42 cm, and the thigh diameter was 2.12 cm. The tarsus was 3.39 cm long and 0.61 cm in diameter. The average quail weight was 297.06 g. The quails in this study exhibit a high degree of morphological variation between individuals in terms of plumage. These results can help develop strategies for developing and genetically improving this short-cycle resource.
文摘This work’s aim is to participate in local materials (raw or fiber improved), which can be used in sustainable and accessible buildings to every Senegalese. To do this, studied materials are respectively collected from a laterite clay pit in Ndouloumadjie Dembe (Matam, Northern Senegal) and another from a termite mound in Tattaguine (Fatick, Central Senegal). These samples are first subjected to Geotechnical identification tests. Mud bricks are then made with raw or sifted millet involucre improved to 1%, 2%, and 3% at 5 mm sieve samples. These briquettes are subjected to compression tests and thermal evaluations. Lagrange and Newton methods of numeric modelling are used to test the whole mixture points between 1% and 3% millet involucre for a better correlation between mechanical and thermal parameters. The results show that in Matam, as well as in Tattaguine, these muds, raw or improved, are of good thermomechanical quality when they are used in bricks making. And the thermomechanical coupling quality reaches a maximum situated at 2.125% for Ndouloumadjie and 2.05% for Tattaguine. These briquettes’ building quality depends on the mud content used in iron, aluminum, silica and clay. Thus, same natural materials can be used in the establishment of habitats according to their geotechnical, chemical, mechanical and thermal characteristics.
文摘University student Party branches serve as the Party’s grassroots organizations within universities and act as a bridge and link between the Party and students.Therefore,it is essential to strengthen the development of student Party branches and enhance the effectiveness of student Party member education and training.This paper summarizes and analyzes the issues in the construction of student Party branches in universities and explores strategies for improving their quality,aiming to provide a reference for relevant personnel.
文摘Abiotic stresses such as drought,heat,salinity,and heavy metal contamination severely affect global agricultural productivity.Between 2005 and 2015,droughts caused losses of approximately USD 29 billion in developing countries,and from 2008 to 2018,droughts accounted for over 34%of crop and livestock yield losses,totaling about USD 37 billion.To support the growing human population,agricultural output must increase substantially,necessitating a 60%–100%rise in crop productivity to meet the escalating demand.To address environmental challenges,organic,inorganic,and microbial biostimulants are increasingly employed to enhance plant resilience through various morphological,physiological,and biochemical modifications.Plant biostimulants enhance plant resilience under abiotic stress through mechanisms such as abscisic acid signaling modulation,which regulates stomatal closure to reduce water loss during drought and heat stress.Additionally,they aid in scavenging reactive oxygen species and stabilizing ion channels,mitigating oxidative damage,and maintaining ionic balance under stress conditions such as salinity.This review summarizes recent advancements in applying these biostimulants,focusing on their roles in triggering morphological,physiological,biochemical,and molecular changes that collectively enhance plant resilience under stress conditions.It also includes a bibliometric analysis of all articles published on biostimulants from 2019 to 2024 and explores future research directions.Emphasis was placed on optimizing biostimulant formulations and understanding their synergistic effects to maximize their efficacy under various stress conditions.By integrating biostimulants into agricultural practices,we can adopt a sustainable strategy to safeguard crop productivity in the face of climate change and environmental stressors.
文摘BACKGROUND At present,there is a lack of non-invasive indicators to evaluate the changes in endoscopic activity between two visits for patients with Crohn's disease(CD).AIM To develop a model for predicting whether endoscopic activity will improve in CD patients.METHODS This is a single-center retrospective study that included patients diagnosed with CD from January 2014 to December 2022.The patients were randomly divided into a modeling group(70%)and an internal validation group(30%),with an external validation group from January 2023 to March 2024.Univariate and binary logistic regression analyses were conducted to identify independent risk factors,which were used to construct a nomogram model.The model's performance was evaluated using receiver operating characteristic curves,calibration curves,and decision curve analysis(DCA).Additionally,further sensitivity analyses were performed.RESULTS One hundred seventy patients were included in the training group,while 64 were included in the external validation group.A binary logistic stepwise regression analysis revealed that the changes in the amplitudes of albumin(ALB)and fibrinogen(FIB)were independent risk factors for endoscopic improvement.A nomogram model was developed based on these risk factors.The area under the curve of the model for the training group,internal validation group,and external validation group were 0.802,0.788,and 0.787,respectively.The average absolute errors of the calibration curves were 0.011,0.016,and 0.018,respectively.DCA indicated that the model performs well in clinical practice.Additionally,sensitivity analysis demonstrated that the model has strong robustness and applicability.CONCLUSION Our study shows that changes in the amplitudes of ALB and FIB are effective predictors of endoscopic improvement in patients with CD during follow-up visits compared to their previous ones.
基金financially supported by the National Postdoctoral Program for Innovative Talents(Grant No.BX20200287)the National Natural Science Foundation of China(Grant Nos.52079116 and 52378322).
文摘This study addresses the challenges posed by dispersive soil in various engineering fields,including hydraulic and agricultural engineering,by exploring the effects of physical adsorption on soil modification.The primary objective is to identify an environmentally friendly stabilizer that can alleviate cracking and erosion resulting from soil dispersivity.Activated carbon(AC),known for its porous nature,was examined for its potential to enhance soil strength and erosion resistance.The charge neutralization process was evaluated by monitoring pH and conductivity,in addition to a comprehensive analysis of microscopic and mineral properties.The results show that high sodium levels or low clay contents result in the dispersive nature of soil in water.However,the incorporation of AC can transform such soil into a non-dispersive state.Moreover,both soil strength and erosion resistance exhibited enhancements with increasing AC content and curing duration.The incorporation of AC resulted in a maximum 5.6-fold increase in unconfined compressive strength and a 1.8-fold increase in tensile strength for dispersive soil.Notably,a significant correlation was observed during the curing phase among soil dispersivity,mechanical properties,and pH values.Microscopic analyses revealed that the porous structure of AC facilitated a filling effect and enhanced adsorption capacity,which contributed to improved soil characteristics and reduced dispersivity.The release of hydrogen ions and the formation of aggregates promote water stability.Validation tests conducted on dispersive soil from northern Shaanxi demonstrated the efficacy of physical adsorption using AC as a viable method for modifying dispersive soil in the water conservancy hub.
基金Princess Nourah bint Abdulrahman University Research Supporting Project Number PNURSP2025R241,Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.
文摘Nitrogen (N) is a crucial nutrient vital for the growth and productivity of maize. However, excessive nitrogen application can result in numerous environmental and ecological problems, such as water pollution, biodiversity loss, and greenhouse gas emissions. Therefore, breeding maize hybrids resilient to low nitrogen conditions is crucial for sustainable agriculture, especially under low nitrogen conditions. Consequently, this study aimed to evaluate the combining ability and heterosis of maize lines, recognize promising hybrids, and study gene action controlling key traits under low and recommended N stress conditions. The half-diallel mating design hybridized seven maize inbreds, resulting in 21 F1 hybrids. These hybrids, along with two high-yielding commercial hybrids (SC10 and TWC310), were evaluated in field trials under recommended (290 kg/ha) and low N (166 kg N/ha) conditions. Significant variations were observed among assessed hybrids for all measured traits, with non-additive gene action being predominant for grain yield and its related characteristics under recommended and low N conditions. Inbred lines P105 and P106 were recognized as effective combiners for earliness, with P105 also excelling in shorter plant height and lower ear placement. In addition, P101, P102, and P104 were identified as good combiners for increasing grain yield and related attributes under low N conditions. The crosses P105 × P106 and P106 × P107 demonstrated outstanding heterotic effects for earliness, while hybrids P101 × P102 and P102 × P104 exhibited remarkable heterotic effects for grain yield low nitrogen stress conditions. These promising hybrids could be considered for commercial use after further evaluation. Strong positive correlations were found between grain yield and ear height, plant height, number of kernels per row, and 1000-grain weight, highlighting their importance for indirect selection to enhance the grain yield of maize under low N stress conditions.
文摘Hydrodynamic cavitation,as an efficient technique applied in many physical and chemical treatment methods,has been widely used by various industries and in several technological fields.Relevant generators,designed with specific structures and parameters,can produce cavitation effects,thereby enabling effective treatment and reasonable transformation of substances.This paper reviews the design principles,performance,and practical applications associated with different types of cavitation generators,aiming to provide theoretical support for the optimization of these systems.It systematically analyzes the underpinning mechanisms and the various factors influencing the cavitation phenomena,also conducting a comparative analysis of the performance of different types of generators.Specific applications dealing with wastewater treatment,chemical reaction acceleration,and other fields are discussed together with the advantages,disadvantages,and applicability of each type of cavitation generator.We also explore research progress in areas such as cavitation stability,energy efficiency,and equipment design upgrades.The study concludes by forecasting the application prospects of intelligent design and computational fluid dynamics(CFD)in optimizing and advancing cavitation generators.It proposes new ideas for the further development of cavitation technology and highlights directions for its widespread future application.
基金National Natural Science Foundation of China under Grant No.52278534Sichuan Provincial Natural Science Foundation of China under Grant No.2022NSFSC0423。
文摘To improve the resilience of railway stations,a typical station was selected as the research object,and an isolation design was introduced.Twenty-four groups of near-fault pulse-like ground motions were selected.The seismic resilience of the no-isolation railway stations(NIRS)and the isolation railway stations(IRS)were compared to provide a numerical result of the improvement in resilience.The results show that in the station isolation design,the station's functional requirements and structural characteristics should be considered and the appropriate placement of isolation bearings is under the waiting room.Under the action of a rare earthquake,the repair cost,repair time,rate of harm and death of the IRS were decreased by 8.04 million,18.30 days,6.93×10^(-3)and 1.21×10^(-3),respectively,when compared to the NIRS.The IRS received a seismic resilience grade of three-stars and the NIRS only one-star,indicating that rational isolation design improves the seismic resilience of stations.Thus,for the design of stations close to earthquake faults,it is suggested to utilize appropriate isolation techniques to improve their seismic resilience.
文摘Enhancing the efficiency of Rankine cycles is crucial for improving the performance of thermal power plants,as it directly impacts operational costs and emissions in light of energy transition goals.This study sets itself apart from existing research by applying a novel optimization technique to a basic ideal Rankine cycle,focusing on a specific power plant that has not been previously analyzed.Currently,this cycle operates at 41%efficiency and a steam quality of 76%,constrained by fixed operational parameters.The primary objectives are to increase thermal efficiency beyond 46%and raise steam quality above 85%,while adhering to operational limits:a boiler pressure not exceeding 15 MPa,condenser pressure not dropping below 10 kPa,and turbine temperature not surpassing 500℃.This study utilizes numerical simulations to model the effects of varying boiler pressure(Pb)and condenser pressure(Pc)within the ranges of 12MPa<Pb<15 MPa and 5 kPa<Pc<10 kPa.By systematically adjusting these parameters,the proposed aimto identify optimal conditions that maximize efficiency and performance within specified constraints.The findings will provide valuable insights for power plant operators seeking to optimize performance under real-world conditions,contributing to more efficient and sustainable power generation.
基金the National Natural Science Foundation of China(NSFC)(Grant Nos.52108307 and 52178319)the Natural Science Foundation of Fujian Province,China(Grant No.2022J05020).
文摘Biomineralization based on bacterial enzyme induced carbonate precipitation(BEICP)process is a promising alternative to cement-based ground treatment technology.The bacterial urease used in BEICP process is usually ultrasonic extracted from urease-producing bacteria.To efficiently extract urease with relatively higher activity from bacterial cells,the ultrasonic extraction parameters of urease were optimized in this study.Next,a series of bacterial urease extraction tests and sand column treatment tests were conducted to investigate the effects of vibration amplitude,upper temperature limit,and cooling method on the urease extraction process and biomineralization of sand.The results show that the upper temperature limit is an important factor affecting the extraction efficiency and the activity of the extracted urease solution,and the optimum upper temperature limit is 50℃.The results indicate that increasing vibration amplitude could improve the extraction efficiency,but it hardly affects the urease activity(UA)under the optimal temperature.Continuous cooling could effectively simplify the operation and further improve the efficiency of urease extraction.Under the same urease activity of biotreatment solution,there is no marked difference in calcium carbonate content(CCC)and unconfined compressive strength of biomineralized sand columns prepared by urease solution extracted with different vibration amplitudes and upper temperature limits.The results of this study could provide a reference for application of BEICP technology of urease extraction to large-scale soil treatment.
基金supported by the Guizhou Provincial Basic Research Program(Natural Science)[(2024)648]the Program of China National Tobacco Corporation(110202101032(JY-09),110202201003(JY-03))the Program of Guizhou Branch of China National Tobacco Corporation(2023XM02,2021XM05,2022XM05,2024XM01).
文摘Nicotiana tabacum(2n=4x=48),an economically important non-food crop and a model plant for genetic studies,faces challenges in efficient genotyping of novel germplasm.To address this,we developed the Ta-LD-SC,a 20K SNP Affymetrix Axiom array,based on resequencing data from 150 tobacco accessions.A total of 20,213 unique SNPs were carefully selected,achieving coverage of over 90%of the tobacco genome(Nitab4.5 and NtaSR1)with a uniform probe distribution,limiting density to no more than 5 SNPs per 200 kb.The array underwent extensive validation using 866 tobacco accessions(NP panel)and 288 F2 individuals from a cross between K326 and Oxford 26(GP panel).Performance metrics demonstrated its robustness,with high SNP call rates(93.6%-99.8%),a low technical error rate(<1%),and a superior PolyHighResolution SNP rate(79.79%)compared to other crop SNP arrays.Population structure analysis of the NP panel revealed two major introductions of foreign germplasm that have significantly influenced the genetic diversity of Chinese tobacco resources.Using the array,a genome-wide association study(GWAS)identified 62 genes linked to eight agronomic traits,and a high-density genetic map encompassing 4553 SNPs across 6606.08 cM was constructed.The Ta-LD-SC array provides a valuable tool for rapid,high-quality genotyping offering supporting marker annotations that may benefit genetic research and breeding of tobacco.
文摘The main function of a hot blast stove is to deliver a high-temperature and stable hot blast to the blast furnace,which has an important impact on the blast furnace ironmaking process.To improve the combustion efficiency,a simulation model of the combustion part of an internal combustion hot blast stove was established by combining turbulence,combustion,and radiation models.Based on the original model,a new type of internal combustion hot blast stove is proposed.The results indicated insufficient combustion in the original structure and higher CO concentrations in the corners of the eyes at both ends of the combustor outlet,the recirculation area at the bottom of the combustion chamber was mainly concentrated in the middle part.With the new structure of the hot blast stove,the gas baffles with different inclination angles are added to the rectangular burner,at the outlet of the combustion chamber,the CO concentration is reduced to a certain extent,and the temperature distribution is more uniform.When the inclination angle of the gas baffle is 60°,the combustion chamber outlet section average temperature rises from 1686 K to 1693 K,the outlet flue gas average volume fraction of CO decreases the most,and the average volume fraction of CO decreases from 0.00708%to 0.00568%,which could reduce the CO content by about 20%.
