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Ti_(3)C_(2)T_(x)MXene doped by W atoms for full-spectrum photofixation of nitrogen

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Transactions of Nonferrous Metals Society of China 2022年第1期32卷 233-250页

作者： Qi LI ji-liang xu San-mei WANG Kai-fu YU Wen-kun ZHU Ting-ting HOU Lan-tian ZHANG Wen-hua ZHANG Shu-quan liang liang-bing WANG School of Materials Science and Engineering Central South UniversityChangsha 410083China State Key Laboratory of Environment-friendly Energy Materials Southwest University of Science and TechnologyMianyang 621010China CAS Key Laboratory of Materials for Energy Conversion Department of Materials Science and EngineeringUniversity of Science and Technology of ChinaHefei 230026China

Full-spectrum photofixation of N_(2) with remarkable NH_(3) production rate of 228μmol/(g·h)was achieved by W atoms doped Ti_(3)C_(2)T_(x)MXene(W/Ti_(3)C_(2)T_(x)-U)catalyst without sacrificial agents at room *** effects of W doping and ultrasonic intercalation of Ti_(3)C_(2)T_(x)MXene were *** transmission electron microscope,electron spin resonance spectra,X-ray photoemission spectroscopy,UV-Vis spectrophotometer,temperature programmed adsorption analyzer and density functional theory calculation were used to characterize the obtained *** showed that Ti_(3)C_(2)T_(x)MXene harvested ultraviolet-visible and near-infrared light to generate hot *** addition,the doped W atoms played an effective role in adsorbing and activating N_(2) molecules by donating electrons to the anti-bonding orbital of N_(2) molecules to elongate the bond length of N≡N.

关键词： nitrogen fixation photocatalysis MXene tungsten full-spectrum

Soft coarse-grained particle model for particle-fluid systems

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Particuology 2024年第1期84卷 178-193页

作者： Yanhao Ye ji xu Wei Ge State Key Laboratory of Multiphase Complex Systems Institute of Process EngineeringChinese Academy of SciencesBeijing100190China School of Chemical Engineering University of Chinese Academy of SciencesBeijing100049China Innovation Academy for Green Manufacture Chinese Academy of SciencesBeijing100190China

By modeling a group of neighboring real particles as a single coarse-grained particle(CGP),discrete particle method(DPM)is now capable of simulating industrial-scale particle-fluid ***,a systematic approach to determine the CGP properties and develop their interaction models is still lacking,which casts uncertainty on the predictivity of the *** this study,collisions between predefined particle groups are analyzed to construct kernel functions for modeling the CGPs and then the model parameters are determined by equating the statistical properties of the CGPs and the real particles in the physical process *** approach is implemented for homogeneous cooling of granular gas,then demonstrated effective in simulating experimental fluidized beds.

关键词： Coarse-grain(CG) Discrete particle method(DPM) Fluidized bed Multi-scale simulation

Melatonin and dopamine alleviate waterlogging stress in apples by recruiting beneficial endophytes to enhance physiological resilience

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Journal of Integrative Agriculture 2024年第7期23卷 2270-2291页

作者： Yang Cao Peihua Du Yuwei Shang jiahao ji Leiqing Tan xue Zhang jizhong xu Bowen liang College of Horticulture Hebei Agricultural UniversityBaoding 071001China

Melatonin and dopamine can potentially prevent waterlogging stress in *** current study investigated the mechanism by which melatonin and dopamine alleviate apple waterlogging *** study demonstrated that melatonin and dopamine alleviated waterlogging by removing reactive oxygen species(ROS),and that the nitric oxide(NO)content and nitrate reductase(NR)activity were significantly *** and dopamine were also found to recruit different candidate beneficial endophytes(melatonin:Novosphingobium,Propionivibrio,and Cellvibrio;dopamine:Hydrogenophaga,Simplicispira,Methyloversatilis,Candidatus_Kaiserbacteria,and Humicola),and these endophytes were significantly and positively correlated with plant *** analyses showed that melatonin and dopamine significantly affected the endophytic bacterial and fungal communities under waterlogging *** metabolomic results showed that melatonin and dopamine led to waterlogging resistance by upregulating the abundance of beneficial substances such as amino acids,flavonoids,coumarins,and organic *** addition,melatonin and dopamine regulated the physicochemical properties of the soil,which altered the endophyte community and affected plant *** co-occurrence network demonstrated close and complex relationships among endophytes,metabolites,soil,and the *** results demonstrate that melatonin and dopamine alleviate waterlogging stress in apples by recruiting beneficial endophytes to enhance physiological *** study provides new insights into how melatonin and dopamine alleviate stress and a theoretical basis for synergistic beneficial microbial resistance to waterlogging stress.

关键词： dopamine endophytes Malus hupehensis melatonin metabolomics waterlogging

Diurnal brooding behavior of long-tailed tits （Aegithalos caudatus glaucogularis）

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Zoological Research 2016年第2期37卷 84-89页

作者： jin YU Peng-Cheng WANG Lei LU Zheng-Wang ZHANG Yong WANG ji-liang xu jian-Qiang LI Bo XI jia-Gui ZHU Zhi-Yong DU School of Nature Conservation Beijing Forestry University Beijing 100083 China College of Life Sciences Beijing Normal University Beijing 100875 China School of Agricultural and Environmental Sciences Alabama A&M University Alabama 35762 USA Dongzhai National Nature Reserve Luoshan Henan 464236 China

Brooding is a major breeding investment of parental birds during the early nestling stage, and has important effects on the development and survival of nestlings. Investigating brooding behavior can help to understand avian breeding investment strategies. From January to June in 2013 and 2014, we studied the brooding behaviors of long-tailed tits （Aegithalos caudatus glaucogularis） in Dongzhai National Nature Reserve, Henan Province, China. We analyzed the relationships between parental diurnal brooding duration and nestling age, brood size, temperature, relative breeding season, time of day and nestling frequencies during brooding duration. Results showed that female and male long-tailed tit parents had different breeding investment strategies during the early nestling stage. Female parents bore most of the brooding investment, while male parents performed most of the nestling feedings. In addition, helpers were not found to brood nestlings at the two cooperative breeding nests. Parental brooding duration was significantly associated with the food delivered to nestlings （F=86.10, dr=l, 193.94, P〈0.001）, and was longer when the nestlings received more food. We found that parental brooding duration declined significantly as nestlings aged （F=5.99, dr=-1, 50.13, P=0.018）. When nestlings were six days old, daytime parental brooding almost ceased, implying that long- tailed tit nestlings might be able to maintain their own body temperature by this age. In addition, brooding duration was affected by both brood size （F=12.74, dr=-1,32.08, P=0.001） and temperature （F=5.83, df=-l, 39.59, P=-0.021）, with it being shorter in larger broods and when ambient temperature was higher.

关键词： Long-tailed tit Aegithalos caudatusglaucogularis Brooding Daytime Early nestling stage

HgaNets:Fusion of Visual Data and Skeletal Heatmap for Human Gesture Action Recognition

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Computers, Materials & Continua 2024年第4期79卷 1089-1103页

作者： Wuyan liang Xiaolong xu School of Internet of Things Nanjing University of Posts and TelecommunicationsNanjing210023China School of Computer Science Nanjing University of Posts and TelecommunicationsNanjing210023China

Recognition of human gesture actions is a challenging issue due to the complex patterns in both visual andskeletal features. Existing gesture action recognition (GAR) methods typically analyze visual and skeletal data,failing to meet the demands of various scenarios. Furthermore, multi-modal approaches lack the versatility toefficiently process both uniformand disparate input ***, in this paper, an attention-enhanced pseudo-3Dresidual model is proposed to address the GAR problem, called HgaNets. This model comprises two independentcomponents designed formodeling visual RGB (red, green and blue) images and 3Dskeletal heatmaps, *** specifically, each component consists of two main parts: 1) a multi-dimensional attention module forcapturing important spatial, temporal and feature information in human gestures;2) a spatiotemporal convolutionmodule that utilizes pseudo-3D residual convolution to characterize spatiotemporal features of gestures. Then,the output weights of the two components are fused to generate the recognition results. Finally, we conductedexperiments on four datasets to assess the efficiency of the proposed model. The results show that the accuracy onfour datasets reaches 85.40%, 91.91%, 94.70%, and 95.30%, respectively, as well as the inference time is 0.54 s andthe parameters is 2.74M. These findings highlight that the proposed model outperforms other existing approachesin terms of recognition accuracy.

关键词： Gesture action recognition multi-dimensional attention pseudo-3D skeletal heatmap

Effects of salt and rice flour concentration on microbial diversity and the quality of sour meat,a Chinese traditional meat

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Food Science and Human Wellness 2024年第5期13卷 2790-2798页

作者： Mengyang Liu Xinping Lin jing Yang xu Yan Chaofan ji Huipeng liang Sufang Zhang liang Dong SKL of Marine Food Processing&Safety Control National Engineering Research Center of SeafoodCollaborative Innovation Center of Provincial and Ministerial Co-construction for Seafood Deep ProcessingLiaoning Province Collaborative Innovation Center for Marine Food Deep ProcessingSchool of Food Science and TechnologyDalian Polytechnic UniversityDalian 116034China Department of Agricultural Forest and Food SciencesUniversity of TorinoTurin 10095Italy Institute of Technology China Resources Beer(Holdings)Company LimitedBeijing 100005China

This study investigated the effects of salt(3%and 6%,m/m)and rice flour(10%and 20%,m/m)addition in sour meat,a traditional Chinese fermented *** was found that salt has greater effect than rice flour addition in spontaneous ***-salt groups had lower pH and higher titratable total *** the low-salt groups,the dominant genera were Lactobacillus and Lactococcus,whereas Staphylococcus,Weissella,and Tetragenococcus were dominant in the high-salt *** total free amino acids and essential amino acids,organic acids,hexanoic acid ethyl ester and octanoic acid ethyl ester were found in the low-salt *** RDA analysis revealed that Lactococcus was closely related to product quality,with the S3F10(3%salt and 10%rice f lour)group outperforming the others in the sensory ***,3%salt and 10%rice flour were considered more appropriate for the production of healthy and tasty fermented sour meats.

关键词： Low salt Fermented meat Bacterial community Amino acid content Volatile compounds Ester Sour meat

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Dopamine improves apple replant disease resistance by regulating physiological resilience and rhizosphere microbial community structure

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Journal of Integrative Agriculture 2024年第9期23卷 3025-3044页

作者： Peihua Du Yang Cao Huaite Liu jiahao ji Wei Sun xueying Zhang jizhong xu Bowen liang College of Horticulture Hebei Agricultural UniversityBaoding 071001China

Apple replant disease(ARD)is a complex agricultural problem caused by multiple stressors that can lead to increased reactive oxygen species(ROS)levels and limited nutrient utilization in ***,existing countermeasures cannot effectively address this ***,we used Malus hupehensis as a test organism to investigate whether the pleiotropic molecule dopamine can alleviate ARD using pot *** application of 100μmol L-1 dopamine significantly promoted the growth of apple seedlings in the replanted soil,with a relative growth rate increase of 17.44%.Our results revealed two major pathways by which dopamine regulates ARD resistance in apple ***,dopamine effectively reduces the level of ROS and activates the expression of genes related to nitrogen(N)transport and *** those genes,MdNLP5,MdNRT1.1,MdNLP2,MdNRT2.5,MdNLP3,MdNRT2.4,MdNADH-GAGOT,and MdFd-GAGOT were strongly regulated by *** regulatory effects promoted the uptake and utilization of soil N by the ***,dopamine improved the physical and chemical properties,enhanced microbial community diversity,and promoted mutual cooperation between microbial communities in the ***,dopamine altered the microbial structure of rhizosphere soil(upregulating Clostridiales,Gaiellales,Sordariales and Mortierellales;downregulating Micrococcales,Longimicrobiales,Hypocreales and Cystobasidiales).Notably,dopamine significantly upregulated the abundances of Gaiella and Mortierella,both of which were positively correlated with soil urease activity,soil available N content,plant growth and N *** also significantly downregulated the abundance of the plant pathogen Gibberella(by 11.71-fold)in replant *** results provide insights into the mechanisms by which dopamine promotes ARD resistance,and can promote the sustainable development of the apple industry.

关键词： continuous cropping barrier exogenous dopamine Malus hupehensis Rehd. 15N-labeling soil microbiome

High-precision X-ray polarimeter based on channel-cut crystals

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Nuclear Science and Techniques 2024年第3期35卷 30-39页

作者： Shang-Yu Si Zhong-liang Li Wen-Hong jia Lian xue Hong-Xin Luo jian-Cai xu Bai-Fei Shen Lin-Gang Zhang liang-liang ji Yu-Xin Leng Ren-Zhong Tai Shanghai Institute of Applied Physics Chinese Academy of SciencesShanghai 201800China University of Chinese Academy of Sciences Beijing 100049China Shanghai Synchrotron Radiation Facility Shanghai Advanced Research InstituteChinese Academy of SciencesShanghai 201204China Shanghai Institute of Optics and Fine Mechanics Chinese Academy of SciencesShanghai 201800China

We report on using synthetic silicon for a high-precision X-ray polarimeter comprising a polarizer and an analyzer,each based on a monolithic channel-cut crystal used at multiple Brewster reflections with a Bragg angle very close to 45°.Experiments were performed at the BL09B bending magnet beamline of the Shanghai Synchrotron Radiation Facility using a Si(800)crystal at an X-ray energy of 12.914 keV.A polarization purity of 8.4×10^(-9)was *** result is encouraging,as the measured polarization purity is the best-reported value for the bending magnet ***,this is the firstly systematic study on the hard X-ray polarimeter in China,which is crucial for exploring new physics,such as verifying vacuum birefringence.

关键词： X-ray polarimeter Vacuum birefringence Synchrotron radiation Channel-cut crystal

Gas–solid reactor optimization based on EMMS-DPM simulation and machine learning

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Particuology 2024年第6期89卷 131-143页

作者： Haolei Zhang Aiqi Zhu ji xu Wei Ge State Key Laboratory of Mesoscience and Engineering Institute of Process EngineeringChinese Academy of SciencesBeijing 100190China State Key Laboratory of Multiphase Complex Systems Institute of Process EngineeringChinese Academy of SciencesBeijing 100190China School of Chemical Engineering University of Chinese Academy of SciencesBeijing 100049China Innovation Academy for Green Manufacture Chinese Academy of SciencesBeijing 100190China

Design,scaling-up,and optimization of industrial reactors mainly depend on step-by-step experiments and engineering experience,which is usually time-consuming,high cost,and high *** numerical simulation can reproduce high resolution details of hydrodynamics,thermal transfer,and reaction process in reactors,it is still challenging for industrial reactors due to huge computational *** this study,by combining the numerical simulation and artificial intelligence(AI)technology of machine learning(ML),a method is proposed to efficiently predict and optimize the performance of industrial reactors.A gas–solid fluidization reactor for the methanol to olefins process is taken as an example.1500 cases under different conditions are simulated by the coarse-grain discrete particle method based on the Energy-Minimization Multi-Scale model,and thus,the reactor performance data set is *** develop an efficient reactor performance prediction model influenced by multiple factors,the ML method is established including the ensemble learning strategy and automatic hyperparameter optimization technique,which has better performance than the methods based on the artificial neural ***,the operating conditions for highest yield of ethylene and propylene or lowest pressure drop are searched with the particle swarm optimization algorithm due to its strength to solve non-linear optimization *** show that decreasing the methanol inflow rate and increasing the catalyst inventory can maximize the yield,while decreasing methanol the inflow rate and reducing the catalyst inventory can minimize the pressure *** two objectives are thus conflicting,and the practical operations need to be compromised under different circumstance.

关键词： Discrete particle method Artificial intelligence Machine learning Particle swarm optimization Industrial reactor optimization