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Rapid and controllable in-situ self-assembly of main-group metal nanofilms for highly efficient CO_(2)electroreduction to liquid fuel in flow cells

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Nano Research 2024年第6期17卷 5718-5725页

作者： Miao Wang Huaizhu Wang Yaoda Wang Junchuan Liang Mengfei Zhu Jiarui Li Zuoxiu Tie Zhong Jin State key laboratory of Coordination Chemistry MOE Key Laboratory of Mesoscopic ChemistryMOE Key Laboratory of High Performance Polymer Materials and TechnologyJiangsu Key Laboratory of Advanced Organic MaterialsTianchang New Materials and Energy Technology Researc

The electrocatalytic reduction of CO_(2)is a promising pathway to generate renewable fuels and ***,its advancement is impeded by the absence of electrocatalysts with both high selectivity and ***,we present a scalable in-situ thermal evaporation technique for synthesizing series of Bi,In,and Sn nanofilms on carbon felt(CF)substrates with a high-aspect-ratio *** resulting main-group metal nanofilms exhibit a homogeneously distributed and highly exposed catalyst surface with ample active sites,thereby promoting mass transport and ad-/desorption of reaction *** from the unique fractal morphology,the Bi nanofilms deposited on CF exhibit optimal catalytic activities for CO_(2)electroreduction among the designed metal nanofilms electrodes,with the highest Faradaic efficiency of 96.9%for formate production at−1.3 V *** hydrogen electrode(RHE)in *** an industrially relevant current density of 221.4 mA·cm−2 in flow cells,the Bi nanofilms retain a high Faradaic efficiency of 81.7%at−1.1 V(***)and a good long-term stability for formate ***,a techno-economic analysis(TEA)model shows the potential commercial viability of electrocatalytic CO_(2)conversion into formate using the Bi nanofilms *** results offer a green and convenient approach for in-situ fabrication of stable and inexpensive thin-film catalysts with a fractal structure applicable to various industrial settings.

关键词： CO_(2)electroreduction non-noble metal nanofilms flow cells efficiency and selectivity techno-economic analysis

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production Dynamic Prediction Method of Waterflooding Reservoir Based on Deep Convolution Generative Adversarial Network(DC-GAN)

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Energy Engineering 2022年第5期119卷 1905-1922页

作者： Liyuan Xin Xiang Rao Xiaoyin Peng Yunfeng Xu Jiating Chen Cooperative innovation Center of Unconventional Oil and Gas(Ministry of Education&Hubei Province) Yangtze UniversityWuhan430100China key laboratory of Drilling and production Engineering for Oil and Gas Wuhan430100China School of Petroleum Engineering Yangtze UniversityWuhan430100China

The rapid production dynamic prediction of water-flooding reservoirs based on well location deployment has been the basis of production optimization of water-flooding *** that the construction of geological models with traditional numerical simulation software is complicated,the computational efficiency of the simulation calculation is often low,and the numerical simulation tools need to be repeated iteratively in the process of model optimization,machine learning methods have been used for fast reservoir ***,traditional artificial neural network(ANN)has large degrees of freedom,slow convergence speed,and complex network *** paper aims to predict the production performance of water flooding reservoirs based on a deep convolutional generative adversarial network(DC-GAN)model,and establish a dynamic mapping relationship between well location deployment and output oil *** network structure is based on an improved U-Net *** a deep convolutional network and deconvolution network,the features of input well deployment images are extracted,and the stability of the adversarial model is *** training speed and accuracy of the proxy model are improved,and the oil saturation of water flooding reservoirs is dynamically *** results show that the trained DC-GAN has significant advantages in predicting oil saturation by the well-location employment *** cosine similarity between the oil saturation map given by the trained DC-GAN and the oil saturation map generated by the numerical simulator is *** above,DC-GAN is an effective method to conduct a proxy model to quickly predict the production performance of water flooding reservoirs.

关键词： Waterflooding reservoir well location deployment dynamic prediction DC-GAN

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Yield sustainability of winter wheat under three limited-irrigation schemes based on a 28-year field experiment

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The Crop Journal 2022年第6期10卷 1774-1783页

作者： Yanmei Gao Meng Zhang Zhimin Wang Yinghua Zhang College of Agronomy and Biotechnology China Agricultural UniversityBeijing 100193China School of Life Science Shanxi Normal UniversityTaiyuan 030031ShanxiChina Ministerial and Provincial Co-innovation Centre for Endemic Crops production with High-quality and efficiency in Loess Plateau Shanxi Agricultural UniversityTaigu 030801ShanxiChina

Sustainable intensification is an agricultural development direction ***,little is known about the yield sustainability of winter wheat(Triticum aestivum L.)under limited irrigation schemes on the North China Plain(NCP).A 28-year field experiment from 1991 to 2018 at Wuqiao Experimental Station was used to characterize long-term yield,evapotranspiration(ET),and water use efficiency(WUE)trends under three irrigation treatments(W1,irrigation just before sowing;W2,irrigation before sowing and at jointing stage;W3,irrigation before sowing,at jointing stage,and at anthesis).Yield gaps and the effects of genetic improvement,climate change,and climate variables on wheat yield and key phenological stages were estimated using the Agricultural production Systems Simulator(APSIM)*** yield and WUE of winter wheat increased during the 28 years under the three irrigation treatments,and the upward trend of WUE followed a saturation curve *** increased *** results showed that genetic improvement dramatically prolonged the phenological stages of vegetative growth period and contributed to yield increase by 0.03%-15.6%.The rapid increase in yield with lower water use was associated mainly with an increase in biomass with genetic improvement and partly with an increase in harvest index.A curvilinear relationship between WUE and yield emphasized the importance of obtaining high yields for high *** yield gaps between potential yield and yield under W1 treatment increased from 1991 to 2018 but were relatively constant for the W2 and W3 *** atmospheric CO_(2) concentration offset the negative effects of temperature increase on yield,leading to minor(-2.3%to 0.3%)changes in yield under climate ***,genetic improvement played a dominant role in yield increase,and limited-irrigation schemes(W2 and W3)can increase wheat yield and promote sustainability of crop production on the NCP.

关键词： Yield Sustainability Cultivars Climate change Phenology

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Supplementation of Yeast Extract to Practical Diet Improves the Growth, Anti-Oxidative Capacity and Intestinal Morphology of Shrimp Litopenaeus vannamei

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Journal of Ocean University of China 2019年第4期18卷 933-938页

作者： MA Shuoli WANG Xiaoxia GAO Weihua ZHANG Wenbing MAI Kangsen The key laboratory of Aquaculture Nutrition and Feeds of Ministry of Agriculture and the Key Laboratory of Mariculture of Ministry of EducationOcean University of ChinaQingdao 266003China Department of Fisheries College of Animal ScienceYangtze UniversityJingzhou 434024China laboratory for Marine Fisheries Science and Food production Processes Qingdao National Laboratory for Marine Science and TechnologyQingdao 266237China

Two control diets based on the commercial formula were designed to contain high(27%,D1)and low(22%,D2)levels of fish meal,*** D2,500,1000 and 1500 mg kg 1 of yeast extract were added,respectively,yielding three experimental diets(YE1 through YE3).Shrimp(initial body weight 0.30 g±0.02 g)were fed with the experimental diets,five tanks each diet and 30 shrimp individuals each tank,for 8 weeks,and then challenged with Vibrio *** results showed that the specific growth rate(SGR)of shrimp in D2 was significantly lower than that of shrimp in D1(Pefficiency ratio of shrimp were similar among all diets(P>0.05).YE significantly improved the activity of glutathione *** concentration of glutathione(GSH)and the total serum anti-oxidative capacity(T-AOC)of D1 were significantly higher than those of shrimp feeding other diets(P0.05).In conclusion,1000 1500 mg kg 1 of YE was suggested to be supplemented into the practical diets to improve the growth,anti-oxidative capacity and intestinal mor-phology of shrimp ***.

关键词： yeast extract shrimp growth anti-oxidative capacity intestinal morphology

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Development of a novel critical nitrogen concentration-cumulative transpiration curve for optimizing nitrogen management under varying irrigation conditions in winter wheat

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The Crop Journal 2024年第4期12卷 1242-1251页

作者： Tianyang Ye Yu Zhang Jingyan Xuan Xintian Wang Yang Li Junhao Xu Liujun Xiao Leilei Liu Liang Tang Weixing Cao Bing Liu Yan Zhu National Engineering and Technology Center for Information Agriculture Engineering Research Center of Smart AgricultureMinistry of EducationKey Laboratory for Crop System Analysis and Decision MakingMinistry of AgricultureJiangsu Key Laboratory for Information AgricultureJiangsu Collaborative Innovation Center for Modern Crop ProductionNanjing Agricultural UniversityNanjing 210095JiangsuChina Institute of Remote Sensing and Digital Agriculture Sichuan Academy of Agricultural SciencesChengdu 610066SichuanChina

Accurate nitrogen(N)nutrition diagnosis is essential for improving N use efficiency in crop *** widely used critical N(Nc)dilution curve traditionally depends solely on agronomic variables,neglecting crop water *** three-year field experiments with winter wheat,encompassing two irrigation levels(rainfed and irrigation at jointing and anthesis)and three N levels(0,180,and 270 kg ha1),this study aims to establish a novel approach for determining the Nc dilution curve based on crop cumulative transpiration(T),providing a comprehensive analysis of the interaction between N and water *** Nc curves derived from both crop dry matter(DM)and T demonstrated N concentration dilution under different conditions with different *** equation Nc=6.43T0.24 established a consistent relationship across varying irrigation *** test results indicated that the nitrogen nutrition index(NNI),calculated from this curve,effectively identifies and quantifies the two sources of N deficiency:insufficient N supply in the soil and insufficient soil water concentration leading to decreased N availability for root ***,the NNI calculated from the Nc-DM and Nc-T curves exhibited a strong negative correlation with accumulated N deficit(Nand)and a positive correlation with relative grain yield(RGY).The NNI derived from the Nc-T curve outperformed the NNI derived from the Nc-DM curve concerning its relationship with Nand and RGY,as indicated by larger R2 values and smaller *** novel Nc curve based on T serves as an effective diagnostic tool for assessing winter wheat N status,predicting grain yield,and optimizing N fertilizer management across varying irrigation *** findings would provide new insights and methods to improve the simulations of water-N interaction relationship in crop growth models.

关键词： Crop dry matter Crop cumulative transpiration Bayesian statistical model Critical nitrogen dilution curve Nitrogen nutrition index

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Impact mechanism of gas temperature in metal powder production via gas atomization

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Chinese Physics B 2021年第5期30卷 437-451页

作者： Peng Wang Jing Li Xin Wang Bo-Rui Du Shi-Yuan Shen Xue-Yuan Ge Miao-Hui Wang State key laboratory of Advanced Forming Technology and Equipment China Academy of Machinery Science&TechnologyBeijing 100083China Beijing National innovation Institute of Lightweight Ltd Beijing 100083China

This paper aims at studying the influence mechanism of gas temperatures(300 K,400 K,500 K,and 600 K)on gas atomization by simulating the integral atomization process of the close-coupled nozzle in vacuum induction gas atomization(VIGA).The primary atomization is simulated by the volume of fluid(VOF)approach,and the second atomization is studied by the discrete phase model(DPM)combined with the instability breakage *** results show that,at an increased gas temperature,the influences of gas-liquid contact angle and gas temperature in the recirculation zone on the primary atomization are virtually ***,increasing the gas temperature will increase the gas-liquid relative velocity near the recirculation zone and decrease the melt film thickness,which are the main reasons for the reduced mass median diameter(MMD,d50)of primary atomized *** the secondary atomization,increasing the gas temperature from 300 K to 600 K results in an increase in the droplet dispersion angle,which is beneficial to the formation of spherical metal *** addition,increasing the gas temperature,the positive effect of gas-liquid relative velocity increase on droplets refinement overweighs the negative influence of the GMR decrease,resulting in the reduced MMD and diameter distribution *** the analysis of the atomization mechanism,the increase in atomization efficiency caused by increasing the temperature of the atomizing gas,including primary atomization and secondary atomization,is mainly due to the increase in the gas drag force difference between the inner and outer sides of the annular liquid film.

关键词： metallic powders VIGA technology argon temperature two-phase flow

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Utilization threshold of surface water and groundwater based on the system optimization of crop planting structure

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Frontiers of Agricultural Science and Engineering 2016年第3期3卷 231-240页

作者： Qiang FU Jiahong LI Tianxiao LI Dong LIU Song CUI School of Water Conservancy & Civil Engineering Northeast Agricultural University Heilongjiang Provincial Collaborative innovation Center of Grain production Capacity Improvement Northeast Agricultural University key laboratory of High Ef fi cient Utilization of Agricultural Water Resource of Ministry of Agriculture Northeast Agricultural University

Based on the diversity of the agricultural system, this research calculates the planting structures of rice, maize and soybean considering the optimal economic-social-ecological aspects. Then, based on the uncertainty and randomness of the water resources system,the interval two-stage stochastic programming method,which introduces the uncertainty of the interval number, is used to calculate the groundwater exploitation and the use efficiency of surface water. The method considers the minimum cost of water as the objective of the uncertainty model for surface water and groundwater joint scheduling optimization for different planting structures. Finally, by calculating harmonious entropy, the optimal exploitation utilization interval of surface water and groundwater is determined for optimal cultivation in the Sanjiang *** optimal matching of the planting structure under the economic system is suitable when the mining ratio of the surface is in 44.13%–45.45% and the exploitation utilization of groundwater is in 54.82%–66.86%, the optimal planting structure under the social system is suitable when surface water mining ratio is in 47.84%–48.04% and the groundwater exploitation threshold is in 67.07%–72.00%. This article optimizes the economicsocial-ecological-water system, which is important for the development of a water- and food-conserving society and providing a more accurate management environment.

关键词： economic-social-ecological uncertainty harmonious entropy surface water and groundwater utilization threshold

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Recognition model for coated red clover seeds using YOLOv5s optimized with an attention module

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International Journal of Agricultural and Biological Engineering 2023年第6期16卷 207-214页

作者： Xiwen Zhang Chuanzhong Xuan Zhanfeng Hou College of Mechanical and Electrical Engineering Inner Mongolia Agricultural UniversityInner MongoliaHohhot 010018China Inner Mongolia Engineering Research Center of Intelligent Equipment for the Entire Process of forage and Feed production Inner MongoliaHohhot 010018China

The non-destructive recognition of coated seeds is crucial for advancing studies in coating ***,the recognition of coated seeds heavily relies on manual visual inspection and machine vision ***,these methods pose challenges such as high misclassification rates,low recognition efficiency,and elevated labor *** response to the aforementioned challenges,this study leveraged deep learning techniques to develop a coated seed recognition model named YOLO-Coated Seeds Recognition(YOLO-CSR),aiming to address the challenges posed by coated seed recognition *** experiment of this study mainly includes the following steps:First,a seed coating machine was set up to coat red clover seeds,resulting in three types of coated red clover ***,by collecting images of the three types of coated seeds,a coated seed image dataset was further ***,the YOLOv5s was built,incorporating the Convolutional Block Attention Module(CBAM)into the model’s backbone to enhance its ability to learn features of coated ***,the training results of YOLO-CSR were compared with those of other classical recognition *** experimental results showed that YOLO-CSR achieved the best recognition performance on the self-built coated seed image *** average precision(AP)for recognizing the three types of coated seeds reached 98.43%,97.91%,and 97.26%,with a mean average precision@0.5(mAP@0.5)of 97.87%.Compared to YOLOv5,YOLO-CSR showed a 1.18%improvement in mAP@***,YOLO-CSR has a model size of only 14.9 MB,with an average recognition time(ART)of 10.1 ms and a frame per second(FPS)of *** results prove that YOLO-CSR can accurately,efficiently,and rapidly recognize coated red clover *** findings of this study provide technical support for the non-destructive recognition of spherical coated seeds.

关键词： coated seed recognition red clover seed YOLO Attention Module CNNs

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The Dissection of Nitrogen Response Traits Using Drone Phenotyping and Dynamic Phenotypic Analysis to Explore N Responsiveness and Associated Genetic Loci in Wheat

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Plant Phenomics 2024年第1期6卷 32-48页

作者： Guohui Ding Liyan Shen Jie Dai Robert Jackson Shuchen Liu Mujahid Ali Li Sun Mingxing Wen Jin Xiao Greg Deakin Dong Jiang Xiu-e Wang Ji Zhou College of Agriculture Plant Phenomics Research CentreAcademy for Advanced Interdisciplinary StudiesNanjing Agricultural UniversityNanjing 210095China Cambridge Crop Research National Institute of Agricultural Botany(NIAB)Cambridge CB3 OLEUK State key laboratory of Crop Genetics and Germplasm Enhancement Cytogenetics InstituteNanjing Agricultural University/JCIC-MCPNanjingJiangsu 210095China Zhenjiang Institute of Agricultural Science JurongJiangsu 212400China Regional Technique innovation Center for Wheat production Key Laboratory of Crop Physiology and Ecology in Southern ChinaMinistry of AgricultureNanjing Agricultural UniversityNanjingJiangsu 210095China

Inefficient nitrogen(N)utilization in agricultural production has led to many negative impacts such as excessive use of N fertilizers,redundant plant growth,greenhouse gases,long-lasting toxicity in ecosystem,and even effect on human health,indicating the importance to optimize N applications in cropping ***,we present a multiseasonal study that focused on measuring phenotypic changes in wheat plants when they were responding to different N treatments under field *** by drone-based aerial phenotyping and the AirMeasurer platform,we first quantified 6 N response-related traits as targets using plot-based morphological,spectral,and textural signals collected from 54 winter wheat ***,we developed dynamic phenotypic analysis using curve fitting to establish profile curves of the traits during the season,which enabled us to compute static phenotypes at key growth stages and dynamic phenotypes(i.e.,phenotypic changes)during N *** that,we combine 12 yield production and N-utilization indices manually measured to produce N efficiency comprehensive scores(NECS),based on which we classified the varieties into 4 N responsiveness(i.e.,N-dependent yield increase)*** NECS ranking facilitated us to establish a tailored machine learning model for N responsiveness-related varietal classification just using N-response phenotypes with high ***,we employed the Wheat55K SNP Array to map single-nucleotide polymorphisms using N response-related static and dynamic phenotypes,helping us explore genetic components underlying N responsiveness in *** summary,we believe that our work demonstrates valuable advances in N response-related plant research,which could have major implications for improving N sustainability in wheat breeding and production.

关键词： Wheat breeding wheat

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Bio-Master:Design and Validation of a High-Throughput Biochemical Profiling Platform for Crop Canopies

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Plant Phenomics 2023年第4期5卷 864-875页

作者： Ruowen Liu Pengyan Li Zejun Li Zhenghui Liu Yanfeng Ding Wenjuan Li Shouyang Liu Engineering Research Center of Plant Phenotyping Ministry of EducationJiangsu Collaborative Innovation Center for Modern Crop ProductionAcademy for Advanced Interdisciplinary StudiesNanjing Agricultural UniversityNanjingChina College of Agriculture Nanjing Agricultural UniversityNanjingChina State key laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China the Institute of Agricultural Resources and Regional PlanningChinese Academy of Agricultural SciencesBeijingChina

Accurate assessment of crop biochemical profiles plays a crucial role in diagnosing their physiological *** conventional destructive methods,although reliable,demand extensive laboratory work for measuring various *** the other hand,nondestructive techniques,while efficient and adaptable,often suffer from reduced precision due to the intricate interplay of the field environment and canopy *** a delicate balance between efficiency and accuracy,we have developed the Bio-Master phenotyping *** system is capable of simultaneously measuring four vital biochemical components of the canopy profile:dry matter,water,chlorophyll,and nitrogen ***-Master initiates the process by addressing structural influences,through segmenting the fresh plant and then further chopping the segment into uniform small ***,the system quantifies hyperspectral reflectance and fresh weight over the sample within a controlled dark chamber,utilizing an independent light *** final step involves employing an embedded estimation model to provide synchronous estimates for the four biochemical components of the measured *** this study,we established a comprehensive training dataset encompassing a wide range of rice varieties,nitrogen levels,and growth *** process regression model was used to estimate biochemical contents utilizing reflectance data obtained by ***-one-out validation revealed the model's capacity to accurately estimate these contents at both leaf and plant *** Bio-Master,measuring a single rice plant takes approximately only 5 min,yielding around 10 values for each of the four biochemical components across the vertical ***,the Bio-Master system allows for immediate measurements near the field,mitigating potential alterations in plant status during transportation and *** a result,our measurements are more likely to faithfully represent in situ *** summariz

关键词： Master utilizing reflectance

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