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Generating empathetic responses through emotion tracking and constraint guidance

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Frontiers of Computer Science 2024年第2期18卷 243-245页

作者： jing LI Donghong HAN Zhishuai GUO Baiyou QIAO Gang wu School of Computer Science and Engineering Northeastern UniversityShenyang 110000China Key Laboratory of Intelligent Computing in Medical Image(Ministry of Education) Northeastern UniversityShenyang 110000China Neusoft Corporation Shenyang 110000China

1 Introduction Empathy is an essential human trait,which reflects the ability of understanding and reflecting on the thoughts and feelings of *** empathetic dialogue system can improve user's experience and establishlong-termhuman-machine *** speaker's emotions and predict response's emotions are necessary steps in empathetic dialogue generation.

关键词： interaction. constraint steps

A regression approach for seismic first-break picking

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Petroleum Science 2024年第3期21卷 1584-1596页

作者： Huan Yuan San-Yi Yuan Jie wu Wen-jing Sang Yu-He Zhao CNPC Key Laboratory of Geophysical Exploration China University of Petroleum(Beijing)Beijing 102249China Research Institute of Petroleum Exploration&Development—Northwest(NWGI) Key Laboratory of reservoir characterization of CNPCPetroChinaLanzhou 730020GansuChina

The picking efficiency of seismic first breaks(FBs)has been greatly accelerated by deep learning(DL)***,the picking accuracy and efficiency of DL methods still face huge challenges in low signal-to-noise ratio(SNR)*** address this issue,we propose a regression approach to pick FBs based on bidirectional long short-term memory(Bi LSTM)neural network by learning the implicit Eikonal equation of 3D inhomogeneous media with rugged topography in the target *** employ a regressive model that represents the relationships among the elevation of shots,offset and the elevation of receivers with their seismic traveltime to predict the unknown FBs,from common-shot gathers with sparsely distributed *** from image segmentation methods which automatically extract image features and classify FBs from seismic data,the proposed method can learn the inner relationship between field geometry and *** addition,the predicted results by the regressive model are continuous values of FBs rather than the discrete ones of the binary *** picking results of synthetic data shows that the proposed method has low dependence on label data,and can obtain reliable and similar predicted results using two types of label data with large *** picking results of9380 shots for 3D seismic data generated by vibroseis indicate that the proposed method can still accurately predict FBs in low SNR *** subsequent stacked profiles further illustrate the reliability and effectiveness of the proposed *** results of model data and field seismic data demonstrate that the proposed regression method is a robust first-break picker with high potential for field application.

关键词： First-break picking Low signal-to-noiseratio Regression BiLSTM Traveltime Geometry Noisy seismic data

Microbial-inspired self-healing of concrete cracks by sodium silicate-coated recycled concrete aggregates served as bacterial carrier

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Frontiers of Structural and Civil Engineering 2024年第1期18卷 14-29页

作者： jing XU Xianzhi WANG wu YAO Anna A.KULMINSKAYA Surendra P.SHAH Key Laboratory of Advanced Civil Engineering Materials(Ministry of Education) School of Materials Science and EngineeringTongji UniversityShanghai 201804China Petersburg Nuclear Physics Institute Named by B.P.Konstantinov of National Research Centre Kurchatov InstituteGatchina 188300Russia Center for Advanced Construction Materials University of Texas at ArlingtonArlingtonTX 76019USA

Microbially induced carbonate precipitation(MICP)is a promising technique for the autonomous healing of concrete *** this study,the effect of pH on MICP was *** results indicate that the MICP process was inhibited when the pH was higher than *** vaterite and calcite were produced when the pH was*** concrete aggregates(RCA)coated with sodium silicate have been proposed as protective carriers for microbial healing *** the presence of the coated RCA resulted in a loss of the splitting tension strength of the concrete,the loaded healing agents were highly efficient in self-healing *** incorporated with 20%RCA loaded with healing agents exhibited the best self-healing *** the initial crack widths were between 0.3 and 0.4 mm,the 7-d mean healing rate was approximately 90%.At 28 d,the crack area filling ratio was 86.4%,while its water tightness recovery ratio was 74.4%and 29.8%,respectively,for rapid and slow *** study suggests that RCA coated with sodium silicate is an effective method for packaging microbial healing agents and has great potential for developing cost-effective self-healing concrete.

关键词： self-healing microbial-induced carbonate precipitation water uptake recycled concrete aggregate protective carrier

Effects of arbuscular mycorrhizal fungi on zinc uptake,translocation and accumulation in winter wheat during whole plant growth stages

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Pedosphere 2024年第2期34卷 374-384页

作者： jing YANG Chuangye ZHANG Yifan LIU Yuanzhe MA Xiangyao wu Jun CAI Fuyong wu College of Natural Resources and Environment Northwest A&F UniversityYangling 712100China Key Laboratory of Plant Nutrition and Agricultural Environment of Northwest of Ministry of Agriculture Yangling 712100China

Although arbuscular mycorrhizal fungi(AMF)could play important roles in zinc(Zn)uptake in host plants,the effects of AMF on Zn uptake and transport in winter wheat during the whole growth stages remain unclear.A pot experiment was conducted to investigate the effects of Funneliformis mosseae(Fm)and Claroideoglomus etunicatum(Ce)on Zn absorption,transport,and accumulation in winter wheat growing in soils spiked with different Zn levels(0,2.5,and 25 mg kg^(-1)).The results showed that there was a significant correlation between mycorrhizal colonization rate and Zn absorption efficiency in winter wheat roots during the post-anthesis period,but there was no significant correlation during the pre-anthesis *** mycorrhizal fungi significantly increased Zn concentrations(0.56–1.58 times)in wheat grains under 0 mg kg^(-1)Zn level,but decreased Zn concentrations in wheat grains under 25 mg kg^(-1)Zn ***,at the filling and maturity stages,AMF increased Zn absorption rate and the contribution of root Zn uptake to grain Zn by 3–14 and 0.36–0.64 times,respectively,under 0 mg kg^(-1)Zn level and 0.21–1.02 and 0.27–0.37 times,respectively,under 2.5 mg kg^(-1)Zn ***,AMF decreased root Zn absorption rate(0.32–0.61 times)and increased the contribution of Zn remobilization in vegetative tissues to grain Zn(1.69–2.01 times)under 25 mg kg^(-1)Zn *** study would complement the mechanisms and effects of AMF on Zn absorption and transport in winter wheat and provide a potential method for the application of AMF to enrich wheat grain Zn.

关键词： grain Zn source mycorrhizal response post-anthesis period Zn absorption rate Zn remobilization

Lamellar quasi-solid electrolyte with nanoconfined deep eutectic solvent for high-performance lithium battery

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Nano Research 2024年第7期17卷 6176-6183页

作者： Shiwei Liu jing Wang Keqi wu Zhirong Yang Yan Dai Junmei Zhang Wenjia wu jingtao Wang School of Chemical Engineering Zhengzhou UniversityZhengzhou 450001China

Electrolytes with high-efficiency lithium-ion transfer and reliable safety are of great importance for lithium *** having superior ionic conductivity(10^(−3)–10^(−2) S·cm^(−1)),traditional liquid-state electrolytes always suffer from low lithium-ion transference number(tLi+<0.4)and thus undesirable battery ***,the deep eutectic solvent(DES)is vacuum-filtered into the~1 nm interlayer channel of vermiculite(Vr)lamellar framework to fabricate a quasi-solid electrolyte(Vr-DES QSE).We demonstrate that the nanoconfinement effect of interlayer channel could facilitate the opening of solvation shell around ***,the interaction from channel wall could inhibit the movement of *** enable high-efficiency lithium-ion transfer:2.61×10^(−4)S·cm^(−1)at 25℃.Importantly,the tLi+value reaches 0.63,which is 4.5 times of that of bulk DES,and much higher than most present liquid/quasi-solid *** addition,Vr-DES QSE shows significantly improved interfacial stability with Li anode as compared with *** assembled Li symmetric cell can operate stably for 1000 h at 0.1 mA·cm^(−2).The lithium iron phosphate(LFP)|Vr-DES QSE|Li cell exhibits high capacity of 142.1 mAh·g^(−1)after 200 cycles at 25℃ and 0.5 C,with a capacity retention of 94.5%.The strategy of open solvation shell through nanoconfinement effect of lamellar framework may shed light on the development of advanced electrolytes.

关键词： quasi-solid electrolyte deep eutectic solvent lamellar structure lithium-ion transference number solvation shell

Revealing the role of pyramidal slip in the high ductility of Mg-Li alloy

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Journal of Magnesium and Alloys 2024年第3期12卷 1021-1025页

作者： jing Xu Bo Guan Yunchang Xin Guangjie Huang Peidong wu Qing Liu International Joint Laboratory for Light Alloys College of Materials Science and EngineeringChongqing UniversityChongqing 400030China Key Laboratory for Light-weight Materials Nanjing Tech UniversityNanjing 210009China Department of Mechanical Engineering McMaster UniversityHamiltonON L8S 4L7Canada

The high ductility of Mg-Li alloy has been mainly ascribed to a high activity of pyramidalslip to accommodate plastic *** the present study,however,a quantitative analysis reveals that Li-addition can only slightly stimulate the activation of pyramidalslip under compression along the normal direction of a hot-rolled Mg-4.5 wt.%Li plate,with a relative activity of approximately 18%.Although the limited activity of pyramidalslip alone cannot accommodate a large plastic strain,it effectively reduces the number of{10.11}−{10.12}double twins,which are believed to be favorable sites for crack *** evidently reduced activity of double twins leads to a lower cracking tendency,and therefore improves ductility.

关键词： Mg alloy Plasticity Plastic deformation Slip Twinning.

Development of sustainable and efficient recycling technology for spent Li-ion batteries: Traditional and transformation go hand in hand

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Green Energy & Environment 2024年第5期9卷 802-830页

作者： Zejian Liu Gongqi Liu Leilei Cheng jing Gu Haoran Yuan Yong Chen Yufeng wu Guangzhou Institute of Energy Conversion Chinese Academy of Sciences(CAS)Guangzhou510640China School of Engineering Science University of Science and Technology of ChinaHefei230026China Guangdong Provincial Key Laboratory of New and Renewable Energy Research and Development Guangzhou510640China Faculty of Materials and Manufacturing Beijing University of TechnologyBeijing100124China

Clean and efﬁcient recycling of spent lithium-ion batteries(LIBs)has become an urgent need to promote sustainable and rapid development of human ***,we provide a critical and comprehensive overview of the various technologies for recycling spent LIBs,starting with lithium-ion power *** research on raw material collection,metallurgical recovery,separation and puriﬁcation is highlighted,particularly in terms of all aspects of economic efﬁciency,energy consumption,technology transformation and policy *** and pathways for transformative full-component recovery of spent LIBs are explored,revealing a clean and efﬁcient closed-loop recovery *** methods are proposed for future recycling technologies,with a focus on how future research directions can be ***,based on life-cycle assessment,the challenges of future recycling are revealed from the LIBs supply chain and stability of the supply chain of the new energy battery industry to provide an outlook on clean and efﬁcient short process recycling *** work is designed to support the sustainable development of the new energy power industry,to help meet the needs of global decarbonization strategies and to respond to the major needs of industrialized recycling.

关键词： Spent LIBs Transformative recycling LCA analysis Policy guidance High value utilization

Temporal and spatial evolution of global major grain trade patterns

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Journal of Integrative Agriculture 2024年第3期23卷 1075-1086页

作者： Ziqi Yin Jiaxuan Hu jing Zhang Xiangyang Zhou Lingling Li Jianzhai wu Agricultural Information Institute Chinese Academy of Agricultural SciencesBeijing 100081China Institute of Scientific and Technical Information of China Beijing 100038China Zibo Agricultural Science Research Institute Zibo 255000China Zibo Institute for Digital Agriculture and Rural Research Zibo 255000China

The complex and volatile international landscape has significantly impacted global grain supply security. This study uses a complex network analysis model to examine the evolution and trends of the global major grain trade from 1990 to 2020, focusing on network topology, centrality ranking, and community structure. There are three major findings. First, the global major grain trade network has expanded in scale, with a growing emphasis on diversification and balance. During the study period, the United States, Canada, China, and Brazil were the core nodes of the network. Grain-exporting countries were mainly situated in Asia, the Americas, and Europe, and importing countries in Asia, Africa, and Europe. Second, a significant increase in the number of high centrality countries with high export capacity occurred, benefiting from natural advantages such as fertile land and favorable climates. Third, the main global grain trade network is divided into four communities, with the Americas-Europe community being the largest and most widespread. The formation of the community pattern was influenced by geographic proximity, driven by the core exporting countries. Therefore, the world needs to enhance the existing trade model, promote the multi-polarization of the grain trade network, and establish a global vision for the future community. Countries and regions should participate actively in global grain trade security governance and institutional reform, expand trade links with other countries, and optimize import and export policies to reduce trade risks.

关键词： grain trade pattern evolution complex network

Regression Method for Rail Fastener Tightness Based on Center-Line Projection Distance Feature and Neural Network

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Chinese Journal of Mechanical Engineering 2024年第2期37卷 356-371页

作者： Yuanhang Wang Duxin Liu Sheng Guo Yifan wu jing Liu Wei Li Hongjie Wang Robotics Research Center School of MechanicalElectronic and Control EngineeringBeijing Jiaotong UniversityBeijing 100044China China Construction Industrial&Energy Engineering Group Co. Ltd.Nanjing 210023China

In the railway system,fasteners have the functions of damping,maintaining the track distance,and adjusting the track ***,routine maintenance and inspection of fasteners are important to ensure the safe operation of track ***,assessment methods for fastener tightness include manual observation,acoustic wave detection,and image *** are limitations such as low accuracy and efficiency,easy interference and misjudgment,and a lack of accurate,stable,and fast detection *** at the small deformation characteristics and large elastic change of fasteners from full loosening to full tightening,this study proposes high-precision surface-structured light technology for fastener detection and fastener deformation feature extraction based on the center-line projection distance and a fastener tightness regression method based on neural ***,the method uses a 3D camera to obtain a fastener point cloud and then segments the elastic rod area based on the iterative closest point algorithm *** component analysis is used to calculate the normal vector of the segmented elastic rod surface and extract the point on the centerline of the elastic *** point is projected onto the upper surface of the bolt to calculate the projection ***,the mapping relationship between the projection distance sequence and fastener tightness is established,and the influence of each parameter on the fastener tightness prediction is ***,by setting up a fastener detection scene in the track experimental base,collecting data,and completing the algorithm verification,the results showed that the deviation between the fastener tightness regression value obtained after the algorithm processing and the actual measured value RMSE was 0.2196 mm,which significantly improved the effect compared with other tightness detection methods,and realized an effective fastener tightness regression.

关键词： Railway system Fasteners Tightness inspection Neural network regression 3D point cloud processing