In recent years,digital twin technology has gained significant attention and application in the engineering construction field in China.Its real-time feedback function has brought more standardized construction operat...In recent years,digital twin technology has gained significant attention and application in the engineering construction field in China.Its real-time feedback function has brought more standardized construction operations to various engineering construction and maintenance processes.In this context,this paper analyzes the specific application of digital twin technology in hydraulic engineering based on its foundations.Taking the reinforcement and anti-seepage digital twin application of a certain embankment section as an example,it explores the reinforcement and anti-seepage construction effects of embankment engineering with the involvement of digital twin technology under complex hydrogeological conditions.The research shows that this technology can significantly improve the control accuracy of slurry diffusion,the identification ability of seepage risks,and the adaptability of engineering construction.Its application provides a replicable digital solution for the governance model of hydraulic engineering.展开更多
A growing global population and the increasing prevalence of diet-related health issues such as“hidden hunger”,obesity,hypertension,and diabetes necessitate a fundamental rethinking of crop design and breeding.Synth...A growing global population and the increasing prevalence of diet-related health issues such as“hidden hunger”,obesity,hypertension,and diabetes necessitate a fundamental rethinking of crop design and breeding.Synthetic metabolic engineering offers a method to modify and redesign metabolic pathways to increase the nutritional value of crops.We summarize recent advances in the biofortification of key nutrients including provitamin A,vitamin C,vitamin B9,iron,zinc,anthocyanins,flavonoids,and unsaturated fatty acids.We discuss the potential of multi-gene stacking,gene editing,enzyme engineering,and artificial intelligence in synthetic metabolic engineering.We propose future research directions and potential solutions centered on leveraging AI-driven systems biology,precision gene editing,enzyme engineering,agrobacterium-mediated genotype-independent transformation,and modular metabolic engineering strategies to develop next-generation nutritionally enhanced super crops and transform global food systems.展开更多
电池健康状态(state of health,SOH)是反映锂离子电池性能退化程度的重要参量之一,SOH的精准估计对提高储能系统可靠性具有重要意义。为改善在实际应用场景中,通过传统电压-电流数据进行SOH估计时需长期记录充放电过程数据的问题,使用...电池健康状态(state of health,SOH)是反映锂离子电池性能退化程度的重要参量之一,SOH的精准估计对提高储能系统可靠性具有重要意义。为改善在实际应用场景中,通过传统电压-电流数据进行SOH估计时需长期记录充放电过程数据的问题,使用便携式阻抗检测系统在电池老化实验过程中采集了在20种工况状态下的电化学阻抗谱(EIS)数据,构建了8种与SOH相关的健康因子(HI),通过Pearson相关系数验证了其有效性,结合电化学阻抗谱蕴含的丰富信息开发了一种适用于电化学阻抗谱的混合专家模型(MoE)。该混合专家模型采用二维卷积神经网络(2D CNN)构建门控网络,基于40个频率下的EIS实部、EIS虚部和电压数据估计电池荷电状态(SOC)真实标签;采用遗传算法(GA)优化的门控循环单元(GRU)网络构建20个专家子网络,基于对应工况下的8种HI估计SOH。利用门控网络解耦SOC对EIS的影响,以SOC标签作为选择策略激活对应的专家网络分支。该模型以10%SOC的短间隔进行专家网络划分,全面覆盖电池的平衡与非平衡状态,适用于多种电池类型,且对于一次估计所使用的数据可在2 min内完成采集,具有良好的实时性。在测试集的评估指标为R2=0.9498,RMSE=0.0032,MAPE=0.26%,实现了SOH的高精度估计。展开更多
Heparin,a glycosaminoglycan,is a stable source of carbon that supports the growth of microorganisms in the human intestine.It is also a commonly used anticoagulant drug in clinical practice,with significant therapeuti...Heparin,a glycosaminoglycan,is a stable source of carbon that supports the growth of microorganisms in the human intestine.It is also a commonly used anticoagulant drug in clinical practice,with significant therapeutic effects.Low molecular weight heparin(LMWH)is a highly active low molecular weight fragment obtained via enzymatic reaction or the chemical degradation of heparin.LMWH has been applied globally in the prevention and treatment of venous thromboembolism in thrombosis patients.Simultaneously,as a potential prebiotic,because of its low molecular weight,LMWH can be well degraded by the gut microbiota to maintain intestinal balance.Enzymatic heparin degradation has recently emerged as a viable disposal method for LMWH preparation;however,only very few benchmark enzymes have been thoroughly described and subjected to protein engineering to improve their properties over the past few years.The commercialization of enzymes will require the development of robustly engineered enzymes that meet the demands of industrial processes.Herein,we report a rational protein engineering strategy that includes molecular dynamic simulations of flexible amino acid mutations and disulfide bond screening.Several Bacteroides thetaiotaomicron heparanase I(Bt-HepI)mutants were obtained and screened for high thermal stability.We obtained the Bt-HepI^(D204C/K208C/H189W/Q198R)variant,which features a stabilized protein surface structure,with a 1.3-fold increase in catalytic constant/michaelis-menten constant(k_(cat)/K_(m)),a 2.44-fold increase in thermal stability at 50℃,and a 1.8-fold decrease in the average molecular weight of LMWH produced at 40℃compared with that seen with Bt-HepI^(WT).Our study establishes a strategy to engineer thermostable HepI to underpin its industrial applications.展开更多
Terpenoids,one of the most diverse and structurally varied natural products in nature,are widely distributed in plants,microbes,and other organisms.Their structural diversity confers significant importance in medicine...Terpenoids,one of the most diverse and structurally varied natural products in nature,are widely distributed in plants,microbes,and other organisms.Their structural diversity confers significant importance in medicine,food,flavorings,and energy.However,traditional methods of plant extraction and chemical synthesis have limitations in industrial applications.Consequently,microbial cell factories have emerged as an important platform for terpenoid production.Terpene synthases(TPSs)are crucial in determining the structural and functional diversity of terpenoids.This review discussed the origin and classificationof TPSs,outlines commonly used TPS mining methods,and summarizes advances in TPS engineering.In addition,it also explores the influenceof machine learning on enzyme mining,the existing challenges and the future opportunities alongside cutting-edge technologies.展开更多
The Beipanjiang Bridge sits over 565 meters above the Beipan River Valley nestled between two very steep cliffs,making it the world's highest bridge.Also known as the Duge Bridge or“China's Impossible Enginee...The Beipanjiang Bridge sits over 565 meters above the Beipan River Valley nestled between two very steep cliffs,making it the world's highest bridge.Also known as the Duge Bridge or“China's Impossible Engineering Feat”,the world's highest bridge may not look that impressive at first sight,but it is a testament to Chinese engineering and innovation.展开更多
This paper conducts practical research on the application of steel fiber reinforced concrete construction technology in road and bridge engineering.The study emphasized in its core advantages of tensile strength,impac...This paper conducts practical research on the application of steel fiber reinforced concrete construction technology in road and bridge engineering.The study emphasized in its core advantages of tensile strength,impact resistance,fatigue resistance and high toughness,and introduces its applications in scenarios such as bridge deck pavement,expansion joints and tunnel opening sections.The key points of construction techniques such as material ratio and fiber selection,mixing,pouring and vibration,as well as quality control difficulties and solutions such as steel fiber dispersion,shrinkage cracks and temperature control was analyzed.The development trends of intelligent material research and development and automated construction technology,and propose application suggestions for engineering design and construction management was discussed in this study,which can serve as a references to improve the quality of road and bridge engineering.展开更多
Objective:The biosynthesis of pilose antler polysaccharides(PAPS)with anti-aging activity relies on the precise regulation of key enzymes;however,the identification of these enzymes is limited by traditional low-throu...Objective:The biosynthesis of pilose antler polysaccharides(PAPS)with anti-aging activity relies on the precise regulation of key enzymes;however,the identification of these enzymes is limited by traditional low-throughput techniques.This study constructed an integrated system combining metabolic engineering and high-throughput screening of fluorescent substrates,aiming to overcome the technical bottlenecks in the identification of key enzymes for PAPS synthesis and the optimization of their catalytic efficiency.Methods:Eighteen candidate genes related to carbohydrate metabolism were screened via transcriptome sequencing of deer antler stem cells.After prokaryotic expression and preliminary screening by high-performance liquid chromatography(HPLC),a self-designed fluorescent substrate(FAM-Glc-β1-3-PNPG)combined with a 96-well plate platform was used to achieve high-throughput optimization and screening of catalytic efficiency.Enzyme function was verified through kinetic analysis and in vitro antioxidant experiments.Results:The screened high-efficiency glycosyltransferase UGT-Wnt3a showed a 2.1-fold increase in catalytic efficiency compared with the wild type,with a maximum reaction rate(Vmax)of12.3μmol·min^(-1)·mg^(-1)and a Michaelis constant(Km)of 0.87 mM.The catalytic product of UGT-Wnt3a increased the superoxide dismutase(SOD)activity by 42%(P<0.01)and decreased the malondialdehyde(MDA)content by 28%(P<0.05)in the oxidative damage system.The detection efficiency of the new platform was 9 times higher than that of HPLC,and the limit of detection was reduced by 50 times.Conclusion:The screening system established in this study provides an innovative technical solution for the directed synthesis of PAPS and the development of anti-aging components,promoting the transformation of active components in traditional Chinese medicine from natural extraction to bioengineering-based production.展开更多
With the continuous expansion of deep underground engineering and the growing demand for safety monitoring,microseismic monitoring has become a core method for early warning of rock mass fracture and engineering stabi...With the continuous expansion of deep underground engineering and the growing demand for safety monitoring,microseismic monitoring has become a core method for early warning of rock mass fracture and engineering stability assessment.To address problems in existing methods,such as low data processing efficiency and poor phase recognition accuracy under low signal-to-noise ratio(SNR)conditions in complex geological environments,this study proposes an intelligent phase picking model based on ResUNet.The model integrates the residual learning mechanism of ResNet with the multi-scale feature extraction capability of UNet,effectively mitigating the vanishing gradient problem in deep networks.It also achieves cross-layer fusion of shallow detail features and deep semantic features through skip connections in the encoder-decoder structure.Compared with traditional short-time average/long-time average(STA/LTA)algorithms and advanced neural network models such as PhaseNet and EQTransformer,ResUNet shows superior performance in picking P-and S-wave phases.The model was trained on 400000 labeled microseismic signals from the Stanford earthquake dataset(STEAD)and was successfully applied to the Shizhuyuan polymetallic mine in Hunan Province,China.The results demonstrate that ResUNet achieves high picking accuracy and robustness in complex geological conditions,offering reliable technical support for early warning of disasters such as rockburst in deep underground engineering.展开更多
Welcome to the 21st China-Europe International Symposium on Software Engineering Education in 2025(CEISEE 2025),successfully held on September 20-21,2025,in Hangzhou,China.With the rapid development of generative AI a...Welcome to the 21st China-Europe International Symposium on Software Engineering Education in 2025(CEISEE 2025),successfully held on September 20-21,2025,in Hangzhou,China.With the rapid development of generative AI and the digital economy,software engineering education is entering a new era.CEISEE continues to be an important platform for educational institutions,the software industry,and educational authorities from China and Europe to exchange visions,share experience,and discuss innovative approaches to software engineering education and university-industry cooperation.展开更多
Lacto-N-neotetraose(LNn T)is a crucial neutral core human milk oligosaccharide(HMO).In this study,we established a LNn T-producing Saccharomyces cerevisiae cell factory through comprehensive metabolic engineering.Spec...Lacto-N-neotetraose(LNn T)is a crucial neutral core human milk oligosaccharide(HMO).In this study,we established a LNn T-producing Saccharomyces cerevisiae cell factory through comprehensive metabolic engineering.Specifically,the de novo biosynthetic pathway of LNn T was assembled by heterologously expressing the lactose permease(lac12)from Kluyveromyces lactis and the glycosyltransferase from Neisseria meningitidis in S.cerevisiae.Subsequently,carbon source regulation based on the glucose-sensitive GAL regulatory system was employed to optimize the expression time of heterologous genes,achieving a production of 15.61 mg/L of LNn T in shake-flask fermentation.In addition,the key rate-limiting steps involved in LNn T synthesis pathway were identified and the corresponding genes were overexpressed to enhance LNn T production,resulting in an 8-fold increase in LNn T titer compared to that of parental strain.To our knowledge,this is the first report on LNn T biosynthesis in S.cerevisiae,opening up the possibility of green production of LNn T using food-safe microorganisms.展开更多
Electrocatalytic nitric oxide(NO)reduction reaction(NORR)is a promising and sustainable process that can simultaneously realize green ammonia(NH3)synthesis and hazardous NO removal.However,current NORR performances ar...Electrocatalytic nitric oxide(NO)reduction reaction(NORR)is a promising and sustainable process that can simultaneously realize green ammonia(NH3)synthesis and hazardous NO removal.However,current NORR performances are far from practical needs due to the lack of efficient electrocatalysts.Engineering the lattice of metal-based nanomaterials via phase control has emerged as an effective strategy to modulate their intrinsic electrocatalytic properties.Herein,we realize boron(B)-insertion-induced phase regulation of rhodium(Rh)nanocrystals to obtain amorphous Rh_(4)B nanoparticles(NPs)and hexagonal close-packed(hcp)RhB NPs through a facile wet-chemical method.A high Faradaic efficiency(92.1±1.2%)and NH_(3) yield rate(629.5±11.0μmol h^(−1) cm^(−2))are achieved over hcp RhB NPs,far superior to those of most reported NORR nanocatalysts.In situ spectro-electrochemical analysis and density functional theory simulations reveal that the excellent electrocatalytic performances of hcp RhB NPs are attributed to the upshift of d-band center,enhanced NO adsorption/activation profile,and greatly reduced energy barrier of the rate-determining step.A demonstrative Zn-NO battery is assembled using hcp RhB NPs as the cathode and delivers a peak power density of 4.33 mW cm−2,realizing simultaneous NO removal,NH3 synthesis,and electricity output.展开更多
Photocatalytic transfer hydrogenation using water as the proton source has emerged as an attractive and green approach for the catalytic reduction of unsaturated bonds.Herein,we report an oxygen-defective TiO_(2)-supp...Photocatalytic transfer hydrogenation using water as the proton source has emerged as an attractive and green approach for the catalytic reduction of unsaturated bonds.Herein,we report an oxygen-defective TiO_(2)-supported palladium catalyst(Pd-TiO_(2)-Ov)for efficient photocatalytic water-donating transfer hydrogenation of anethole towards 4-n-propylanisole in a high yield of 99.9%,which is significantly higher compared to the pristine TiO_(2)-supported palladium catalyst(Pd-TiO_(2),74%).The enhanced performance is ascribed to the presence of oxygen vacancies,which facilitate light absorption and suppress the recombination of photogenerated electron-hole pairs.Furthermore,the Pd-TiO_(2)-Ov is versatile in hydrogenating various alkene substrates including those with hydroxyl,ether,fluoride,and chloride functional groups in full conversion,thus offering a green method for transfer hydrogenation of alkenes.This study provides new insights and advances in current hydrogenation technology with water as the proton source.展开更多
文摘In recent years,digital twin technology has gained significant attention and application in the engineering construction field in China.Its real-time feedback function has brought more standardized construction operations to various engineering construction and maintenance processes.In this context,this paper analyzes the specific application of digital twin technology in hydraulic engineering based on its foundations.Taking the reinforcement and anti-seepage digital twin application of a certain embankment section as an example,it explores the reinforcement and anti-seepage construction effects of embankment engineering with the involvement of digital twin technology under complex hydrogeological conditions.The research shows that this technology can significantly improve the control accuracy of slurry diffusion,the identification ability of seepage risks,and the adaptability of engineering construction.Its application provides a replicable digital solution for the governance model of hydraulic engineering.
基金supported by grants from the Guangxi Science and Technology Major Project(GKAA24206023)the Biological Breeding-National Science and Technology Major Project(2024ZD04077)+2 种基金the National Natural Science Foundation of China(32272120)the National Key Research and Development Program of China(2024YFF1000800)the Guangdong Basic Research Center of Excellence for Precise Breeding of Future Crops Major Project(FCBRCE-202502,FCBRCE-202504).
文摘A growing global population and the increasing prevalence of diet-related health issues such as“hidden hunger”,obesity,hypertension,and diabetes necessitate a fundamental rethinking of crop design and breeding.Synthetic metabolic engineering offers a method to modify and redesign metabolic pathways to increase the nutritional value of crops.We summarize recent advances in the biofortification of key nutrients including provitamin A,vitamin C,vitamin B9,iron,zinc,anthocyanins,flavonoids,and unsaturated fatty acids.We discuss the potential of multi-gene stacking,gene editing,enzyme engineering,and artificial intelligence in synthetic metabolic engineering.We propose future research directions and potential solutions centered on leveraging AI-driven systems biology,precision gene editing,enzyme engineering,agrobacterium-mediated genotype-independent transformation,and modular metabolic engineering strategies to develop next-generation nutritionally enhanced super crops and transform global food systems.
文摘电池健康状态(state of health,SOH)是反映锂离子电池性能退化程度的重要参量之一,SOH的精准估计对提高储能系统可靠性具有重要意义。为改善在实际应用场景中,通过传统电压-电流数据进行SOH估计时需长期记录充放电过程数据的问题,使用便携式阻抗检测系统在电池老化实验过程中采集了在20种工况状态下的电化学阻抗谱(EIS)数据,构建了8种与SOH相关的健康因子(HI),通过Pearson相关系数验证了其有效性,结合电化学阻抗谱蕴含的丰富信息开发了一种适用于电化学阻抗谱的混合专家模型(MoE)。该混合专家模型采用二维卷积神经网络(2D CNN)构建门控网络,基于40个频率下的EIS实部、EIS虚部和电压数据估计电池荷电状态(SOC)真实标签;采用遗传算法(GA)优化的门控循环单元(GRU)网络构建20个专家子网络,基于对应工况下的8种HI估计SOH。利用门控网络解耦SOC对EIS的影响,以SOC标签作为选择策略激活对应的专家网络分支。该模型以10%SOC的短间隔进行专家网络划分,全面覆盖电池的平衡与非平衡状态,适用于多种电池类型,且对于一次估计所使用的数据可在2 min内完成采集,具有良好的实时性。在测试集的评估指标为R2=0.9498,RMSE=0.0032,MAPE=0.26%,实现了SOH的高精度估计。
基金supported by the Natural Science Foundation of Jiangsu Province(BE2021623,BK20220155)Natural Science Foundation of Jiangsu Province(BE2021623)+4 种基金National Natural Science Foundation of China(32001665,U1903205,32021005)the National Key Research and Development Program of China(2017YF0400303)the Key Scientific and Technological Research Projects in the Key Areas of the Xinjiang Production and Construction Corps(2018AB010)the Key Research and Development 303 Program of Ningxia(2020BFG02012)Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province。
文摘Heparin,a glycosaminoglycan,is a stable source of carbon that supports the growth of microorganisms in the human intestine.It is also a commonly used anticoagulant drug in clinical practice,with significant therapeutic effects.Low molecular weight heparin(LMWH)is a highly active low molecular weight fragment obtained via enzymatic reaction or the chemical degradation of heparin.LMWH has been applied globally in the prevention and treatment of venous thromboembolism in thrombosis patients.Simultaneously,as a potential prebiotic,because of its low molecular weight,LMWH can be well degraded by the gut microbiota to maintain intestinal balance.Enzymatic heparin degradation has recently emerged as a viable disposal method for LMWH preparation;however,only very few benchmark enzymes have been thoroughly described and subjected to protein engineering to improve their properties over the past few years.The commercialization of enzymes will require the development of robustly engineered enzymes that meet the demands of industrial processes.Herein,we report a rational protein engineering strategy that includes molecular dynamic simulations of flexible amino acid mutations and disulfide bond screening.Several Bacteroides thetaiotaomicron heparanase I(Bt-HepI)mutants were obtained and screened for high thermal stability.We obtained the Bt-HepI^(D204C/K208C/H189W/Q198R)variant,which features a stabilized protein surface structure,with a 1.3-fold increase in catalytic constant/michaelis-menten constant(k_(cat)/K_(m)),a 2.44-fold increase in thermal stability at 50℃,and a 1.8-fold decrease in the average molecular weight of LMWH produced at 40℃compared with that seen with Bt-HepI^(WT).Our study establishes a strategy to engineer thermostable HepI to underpin its industrial applications.
基金supported by the National Key Research and Development Program of China(2020YFA0908300)the Natural Science Foundation of China(22138006,22278240).
文摘Terpenoids,one of the most diverse and structurally varied natural products in nature,are widely distributed in plants,microbes,and other organisms.Their structural diversity confers significant importance in medicine,food,flavorings,and energy.However,traditional methods of plant extraction and chemical synthesis have limitations in industrial applications.Consequently,microbial cell factories have emerged as an important platform for terpenoid production.Terpene synthases(TPSs)are crucial in determining the structural and functional diversity of terpenoids.This review discussed the origin and classificationof TPSs,outlines commonly used TPS mining methods,and summarizes advances in TPS engineering.In addition,it also explores the influenceof machine learning on enzyme mining,the existing challenges and the future opportunities alongside cutting-edge technologies.
文摘The Beipanjiang Bridge sits over 565 meters above the Beipan River Valley nestled between two very steep cliffs,making it the world's highest bridge.Also known as the Duge Bridge or“China's Impossible Engineering Feat”,the world's highest bridge may not look that impressive at first sight,but it is a testament to Chinese engineering and innovation.
文摘This paper conducts practical research on the application of steel fiber reinforced concrete construction technology in road and bridge engineering.The study emphasized in its core advantages of tensile strength,impact resistance,fatigue resistance and high toughness,and introduces its applications in scenarios such as bridge deck pavement,expansion joints and tunnel opening sections.The key points of construction techniques such as material ratio and fiber selection,mixing,pouring and vibration,as well as quality control difficulties and solutions such as steel fiber dispersion,shrinkage cracks and temperature control was analyzed.The development trends of intelligent material research and development and automated construction technology,and propose application suggestions for engineering design and construction management was discussed in this study,which can serve as a references to improve the quality of road and bridge engineering.
文摘Objective:The biosynthesis of pilose antler polysaccharides(PAPS)with anti-aging activity relies on the precise regulation of key enzymes;however,the identification of these enzymes is limited by traditional low-throughput techniques.This study constructed an integrated system combining metabolic engineering and high-throughput screening of fluorescent substrates,aiming to overcome the technical bottlenecks in the identification of key enzymes for PAPS synthesis and the optimization of their catalytic efficiency.Methods:Eighteen candidate genes related to carbohydrate metabolism were screened via transcriptome sequencing of deer antler stem cells.After prokaryotic expression and preliminary screening by high-performance liquid chromatography(HPLC),a self-designed fluorescent substrate(FAM-Glc-β1-3-PNPG)combined with a 96-well plate platform was used to achieve high-throughput optimization and screening of catalytic efficiency.Enzyme function was verified through kinetic analysis and in vitro antioxidant experiments.Results:The screened high-efficiency glycosyltransferase UGT-Wnt3a showed a 2.1-fold increase in catalytic efficiency compared with the wild type,with a maximum reaction rate(Vmax)of12.3μmol·min^(-1)·mg^(-1)and a Michaelis constant(Km)of 0.87 mM.The catalytic product of UGT-Wnt3a increased the superoxide dismutase(SOD)activity by 42%(P<0.01)and decreased the malondialdehyde(MDA)content by 28%(P<0.05)in the oxidative damage system.The detection efficiency of the new platform was 9 times higher than that of HPLC,and the limit of detection was reduced by 50 times.Conclusion:The screening system established in this study provides an innovative technical solution for the directed synthesis of PAPS and the development of anti-aging components,promoting the transformation of active components in traditional Chinese medicine from natural extraction to bioengineering-based production.
基金Project(2022YFC2905100)supported by the National Key Research and Development Program of ChinaProject(52174098)supported by the National Natural Science Foundation of China。
文摘With the continuous expansion of deep underground engineering and the growing demand for safety monitoring,microseismic monitoring has become a core method for early warning of rock mass fracture and engineering stability assessment.To address problems in existing methods,such as low data processing efficiency and poor phase recognition accuracy under low signal-to-noise ratio(SNR)conditions in complex geological environments,this study proposes an intelligent phase picking model based on ResUNet.The model integrates the residual learning mechanism of ResNet with the multi-scale feature extraction capability of UNet,effectively mitigating the vanishing gradient problem in deep networks.It also achieves cross-layer fusion of shallow detail features and deep semantic features through skip connections in the encoder-decoder structure.Compared with traditional short-time average/long-time average(STA/LTA)algorithms and advanced neural network models such as PhaseNet and EQTransformer,ResUNet shows superior performance in picking P-and S-wave phases.The model was trained on 400000 labeled microseismic signals from the Stanford earthquake dataset(STEAD)and was successfully applied to the Shizhuyuan polymetallic mine in Hunan Province,China.The results demonstrate that ResUNet achieves high picking accuracy and robustness in complex geological conditions,offering reliable technical support for early warning of disasters such as rockburst in deep underground engineering.
文摘Welcome to the 21st China-Europe International Symposium on Software Engineering Education in 2025(CEISEE 2025),successfully held on September 20-21,2025,in Hangzhou,China.With the rapid development of generative AI and the digital economy,software engineering education is entering a new era.CEISEE continues to be an important platform for educational institutions,the software industry,and educational authorities from China and Europe to exchange visions,share experience,and discuss innovative approaches to software engineering education and university-industry cooperation.
基金funded by the National Key Research and Development Program of China(2022YFF1100300)National Natural Science Foundation of China(22108097)+2 种基金Key Research and Development Program of Jiangsu Province(BE2022850)Taihu Innovation-Leading Talent of Wuxi City(1026010241230040)Cross-Integration Innovation Funding of SFST(SFST2023-KY-10).
文摘Lacto-N-neotetraose(LNn T)is a crucial neutral core human milk oligosaccharide(HMO).In this study,we established a LNn T-producing Saccharomyces cerevisiae cell factory through comprehensive metabolic engineering.Specifically,the de novo biosynthetic pathway of LNn T was assembled by heterologously expressing the lactose permease(lac12)from Kluyveromyces lactis and the glycosyltransferase from Neisseria meningitidis in S.cerevisiae.Subsequently,carbon source regulation based on the glucose-sensitive GAL regulatory system was employed to optimize the expression time of heterologous genes,achieving a production of 15.61 mg/L of LNn T in shake-flask fermentation.In addition,the key rate-limiting steps involved in LNn T synthesis pathway were identified and the corresponding genes were overexpressed to enhance LNn T production,resulting in an 8-fold increase in LNn T titer compared to that of parental strain.To our knowledge,this is the first report on LNn T biosynthesis in S.cerevisiae,opening up the possibility of green production of LNn T using food-safe microorganisms.
基金funding support from General Research Fund[Project No.14300525]from the Research Grants Council(RGC)of Hong Kong SAR,Chinafunding support from Natural Science Foundation of China(NSFC)Young Scientists Fund(Project No.22305203)+2 种基金NSFC Projects Nos.22309123,22422303,22303011,22033002,92261112 and U21A20328support from the Hong Kong Branch of National Precious Metals Material Engineering Research Center(NPMM)at City University of Hong Kongsupport from Young Collaborative Research Grant[Project No.C1003-23Y]support from RGC of Hong Kong SAR,China.
文摘Electrocatalytic nitric oxide(NO)reduction reaction(NORR)is a promising and sustainable process that can simultaneously realize green ammonia(NH3)synthesis and hazardous NO removal.However,current NORR performances are far from practical needs due to the lack of efficient electrocatalysts.Engineering the lattice of metal-based nanomaterials via phase control has emerged as an effective strategy to modulate their intrinsic electrocatalytic properties.Herein,we realize boron(B)-insertion-induced phase regulation of rhodium(Rh)nanocrystals to obtain amorphous Rh_(4)B nanoparticles(NPs)and hexagonal close-packed(hcp)RhB NPs through a facile wet-chemical method.A high Faradaic efficiency(92.1±1.2%)and NH_(3) yield rate(629.5±11.0μmol h^(−1) cm^(−2))are achieved over hcp RhB NPs,far superior to those of most reported NORR nanocatalysts.In situ spectro-electrochemical analysis and density functional theory simulations reveal that the excellent electrocatalytic performances of hcp RhB NPs are attributed to the upshift of d-band center,enhanced NO adsorption/activation profile,and greatly reduced energy barrier of the rate-determining step.A demonstrative Zn-NO battery is assembled using hcp RhB NPs as the cathode and delivers a peak power density of 4.33 mW cm−2,realizing simultaneous NO removal,NH3 synthesis,and electricity output.
基金supported by the National Key Research and Development Program of China(2023YFD2200505)National Natural Science Foundation of China(22202105),Natural Science Foundation of Jiangsu Higher Education Institutions of China(21KJA150003)the Innovation and Entrepreneurship Team Program of Jiangsu Province(JSSCTD202345).
文摘Photocatalytic transfer hydrogenation using water as the proton source has emerged as an attractive and green approach for the catalytic reduction of unsaturated bonds.Herein,we report an oxygen-defective TiO_(2)-supported palladium catalyst(Pd-TiO_(2)-Ov)for efficient photocatalytic water-donating transfer hydrogenation of anethole towards 4-n-propylanisole in a high yield of 99.9%,which is significantly higher compared to the pristine TiO_(2)-supported palladium catalyst(Pd-TiO_(2),74%).The enhanced performance is ascribed to the presence of oxygen vacancies,which facilitate light absorption and suppress the recombination of photogenerated electron-hole pairs.Furthermore,the Pd-TiO_(2)-Ov is versatile in hydrogenating various alkene substrates including those with hydroxyl,ether,fluoride,and chloride functional groups in full conversion,thus offering a green method for transfer hydrogenation of alkenes.This study provides new insights and advances in current hydrogenation technology with water as the proton source.
