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Selective and Coverage Multi-head Attention for Abstractive Summarization

Journal of Physics: Conference Series 2020年第1期1453卷

作者： xuwen zhang Gongshen Liu School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai 200240 China

Although the Transformer model has outperformed traditional sequence-to-sequence model in a variety of natural language processing (NLP) tasks, it still suffers from semantic irrelevance and repetition for abstractive text summarization. The main reason is that the long text to be summarized is usually composed of multi-sentences and has much redundant information. To tackle this problem, we propose a selective and coverage multi-head attention framework based on the original Transformer. It contains a Convolutional Neural Network (CNN) selective gate, which combines n-gram features with whole semantic representation to obtain core information from the long input sentence. Besides, we use a coverage mechanism in the multi-head attention to keep track of the words which have been summarized. The evaluations on Chinese and English text summarization datasets both demonstrate that the proposed selective and coverage multi-head attention model outperforms the baseline models by 4.6 and 0.3 ROUGE-2 points respectively. And the analysis shows that the proposed model generates the summary with higher quality and less repetition.

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Intelligent optimization of cold radial forging process for 20CrMnTiH alloy based on GA-BP and performance analysis

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INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 2024年第9-10期135卷 4281-4307页

作者： Xu, Wenxia Wang, Zhaohui Zhu, xuwen zhang, Bowen Zheng, Zecheng Lv, Mi Wang, Hongxia Wuhan Univ Sci & Technol Key Lab Met Equipment & Control Technol Minist Educ Wuhan 430081 Hubei Peoples R China Wuhan Univ Sci & Technol Hubei Key Lab Mech Transmiss & Mfg Engn Wuhan 430081 Hubei Peoples R China Chongqing Construction Ind Grp Co Ltd Chongqing 400054 Peoples R China Hubei Univ Automot Technol Coll Mech Engn Shiyan 442002 Hubei Peoples R China

Cold radial forging (CRF) is recognized as one of the most effective manufacturing processes for the production of hollow components. Nonetheless, even minor alterations in the alloy composition during the cold deformation processing phase can significantly influence the material's manufacturability. This study addresses the challenges associated with high optimization costs, complex data acquisition, and the prediction of forming quality when integrating multiple processes, such as heat treatment and material composition. We propose the development of an intelligent predictive model aimed at forecasting the forming quality of the 20CrMnTiH alloy during CRF, utilizing a back-propagation neural network optimized by genetic algorithm (GA-BP). The assessment of forming quality is based on parameters such as damage, residual stress, and equivalent strain. The study investigates the impact of alloy composition and spheroidal annealing (SA) process parameters on forming quality. The performance of the three GA-BP prediction models is superior in terms of the coefficient of determination (R2) and mean square error (MSE), when compared to a conventional BP neural network and four other machine learning techniques, including gradient-boosted decision trees, random forests, support vector regression, and logistic regression. A comprehensive comparative analysis of the evaluation metrics across all three prediction models, alongside multi-objective optimization, indicates that the Pareto solution set generated by NSGA-II exhibits optimal distribution uniformity. The optimized process parameters (0.17%C-0.24%Si-0.81%Mn-0.03%P-0.03%S-1.15%Cr-0.05%Ni-0.06%Ti, Te: 60 degrees C, ATi: 4.57 h) resulted in a reduction of residual stresses by 12%, equivalent strain by 15%, and component damage by 30%. The results demonstrate that the methodology proposed in this paper not only enhances the quality of CRF molding but also significantly improves the accuracy of the predictive model for f

关键词： 20CrMnTiH alloy Cold radial forging Alloy composition Spheroidizing annealing GA-BP neural network

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Bill of material consistency reconstruction method for complex products driven by digital twin

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INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 2022年第1-2期120卷 185-202页

作者： Wang, Yunrui Ren, Wenzhe zhang, Chuanwei Zhao, xuwen Xian Univ Sci & Technol Sch Mech Engn Xian 710054 Shaanxi Peoples R China

Bill of material (BOM), as the core data in the complete life cycle management of complex products, is the primary data that supports the deep integration of intelligent and information technology of complex products. They are aiming at the characteristics of high complexity, solid dynamics, and many uncertain factors in the BOM reconstruction process of complex products. The digital twin technology is introduced into the BOM reconstruction process, and the BOM consistency reconstruction mechanism of complex products is constructed. The sequence process of BOM data flow is analyzed. The focus is on the reconstruction process of engineering BOM (EBOM), process BOM (PBOM), manufacturing BOM (MBOM), and maintenance BOM (WBOM) based on digital twin. The rationality of the constructed BOM is verified by establishing a virtual model, which promotes continuous optimization and improvement of the BOM. This paper also discusses the key technologies of data dynamic perception, digital threading, simulation modeling decoupling, and coupling in the process of BOM reconstruction. Finally, the feasibility of the proposed method is verified by combining the BOM reconstruction process of an enterprise bogie and the construction of the bogie twin system, which provides a reference for improving the accuracy, integrity, and consistency of the BOM reconstruction process of complex products.

关键词： Complex products Digital twin Consistency BOM reconstruction

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Stable self-crosslinking phase change composites with vertically aligned boron nitride for high thermal conductivity thermal interface materials

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CERAMICS INTERNATIONAL 2024年第11期50卷 19829-19837页

作者： Liu, Chunlei Duan, Xiaoyuan zhang, Wei Huo, Qianqiang Sui, xuwen Liu, Yaqing Liang, Chaobo North Univ China Coll Mat Sci & Engn Key Lab Funct Nanocomposites Shanxi Prov Taiyuan 030051 Peoples R China Northwestern Polytech Univ Sch Chem & Chem Engn Shaanxi Key Lab Macromol Sci & Technol Xian 710072 Peoples R China

Thermal interface materials (TIMs) must have a high through-plane thermal conductivity in order to efficiently transfer the heat generated by electronic components to heat sinks. Nevertheless, the achievement of high through-plane thermal conductivity is still a great challenge due to the inadequate thermal conductivity network as well as the lack of thermal response from the polymer matrix. Herein, we have developed a solid-solid phase change polymer matrix achieved through self-crosslinking polyethylene glycol (SCPEG). Subsequently, highperformance TIMs based on the SCPEG matrix and vertically aligned boron nitride (BN) nanosheets are obtained by bidirectional freezing, hot pressing, and longitudinal slicing. The prepared BN/SCPEG composites (BN content of 80 vol%) with a vertically oriented network achieved a through-plane thermal conductivity of 23.03 W m-1 K-1. More importantly, the vertically aligned BN nanosheets improve the thermal conductivity of composites, while the SCPEG matrix can reduce the hardness of composites by absorbing the heat, thus decreasing the contact thermal resistance.

关键词： Thermal interface materials Solid-solid phase change polymer matrix Self-crosslinking polyethylene glycol Vertically aligned boron nitride nanosheets

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Finely-Tuning Chemiluminescent Color of CdTe Nanocrystals and Its Application for Near-Infrared Semi-Automatic Immunoassay

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ANALYTICAL CHEMISTRY 2024年第19期96卷 7643-7650页

作者： Ren, Xiaoxuan Tian, Zhijian Gao, xuwen Ai, Yaojia Li, Mengwei zhang, Bin Zou, Guizheng Shandong Univ Sch Chem & Chem Engn Jinan 250100 Peoples R China

Chemiluminescence (CL), especially commercialized CL immunoassay (CLIA), is normally performed within the eye-visible region of the spectrum by exploiting the electronic-transition-related emission of the molecule luminophore. Herein, dual-stabilizers-capped CdTe nanocrystals (NCs) is employed as a model of nanoparticulated luminophore to finely tune the CL color with superior color purity. Initialized by oxidizing the CdTe NCs with potassium periodate (KIO4), intermediates of the reactive oxygen species (ROS) tend to charge CdTe NCs in both series-connection and parallel-connection routes and dominate the charge-transfer CL of CdTe NCs. The CdTe NCs/KIO4 system can exhibit color-tunable CL with the maximum emission wavelength shifted from 694 nm to 801 nm, and the red-shift span is over 100 nm. Both PL and CL of each of the CdTe NCs are bandgap-engineered;the change in the NCs surface state via CL reaction enables CL of each of the CdTe NCs to be red-shifted for similar to 20 nm to PL, while the change in the NCs surface state via labeling CdTe NCs to secondary-antibody (Ab(2)) enables CL of the CdTe NCs-Ab(2) conjugates to be red-shifted for another similar to 20 nm to bare CdTe NCs. The CL of CdTe753-Ab(2)/KIO4 is similar to 791 nm, which can perform near-infrared CL immunoassay and semi-automatically determined procalcitonin (PCT) on commercialized in vitro diagnosis (IVD) instruments.

关键词： Color Monomers Oxygen Peptides and proteins Quantum mechanics

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Optimization of the natural gas hydrate hot water injection production method: Insights from numerical and phase equilibrium analysis

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APPLIED ENERGY 2024年 361卷

作者： zhang, Zhaobin Li, Yuxuan Li, Shouding He, Jianming Li, Xiao Xu, Tao Lu, Cheng Qin, xuwen Chinese Acad Sci Key Lab Shale Gas & Geoengn Inst Geol & Geophys Beijing 100029 Peoples R China Chinese Acad Sci Innovat Acad Earth Sci Beijing 100029 Peoples R China Univ Chinese Acad Sci Coll Earth & Planetary Sci Beijing 100049 Peoples R China Minist Nat Resources China Geol Survey Oil & Gas Resources Survey Beijing 100083 Peoples R China Minist Nat Resources China Geol Survey Guangzhou Marine Geol Survey Guangzhou 510075 Peoples R China

The heat injection during depressurization is a crucial technique for sustaining the long-term gas production rate of natural gas hydrate. To analyze the production patterns and mechanisms of hydrate dissociation under various heat injection conditions and to further optimize heat injection strategies, this study establishes a reservoir-scale three-dimensional heterogeneous computational model using a self-developed hydrate simulator. A novel in-situ heating method utilizing bottom seawater is proposed for heat injection, and comprehensive analyses of heating power and injection rates are conducted. The results indicate that increasing heating power at a constant injection rate enhances gas production rates while reducing thermal efficiency. Simultaneously, under constant heating power, gas production rates initially increase and then decrease with increasing injection rates, revealing the presence of an optimal injection rate. This paper introduces the concepts of temperature driving force and temperature modification ratio, analyzes the mechanisms of heat injection development, and derives an optimized strategy for hot water injection through curve fitting. This research enhances our understanding of the integrated approach involving thermal stimulation and depressurization, providing significant guidance for future production endeavors.

关键词： Natural gas hydrate Thermal stimulation Three-dimensional modelling Temperature driving force Comprehensive analysis

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Luminophore-Surface-Engineering-Enabled Low-Triggering-Potential and Coreactant-Free Electrochemiluminescence for Protein Determination

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ANALYTICAL CHEMISTRY 2023年第17期95卷 6948-6954页

作者： Gao, xuwen Ren, Xiaoxuan Ai, Yaojia Li, Mengwei zhang, Bin Zou, Guizheng Shandong Univ Sch Chem & Chem Engn Jinan 250100 Peoples R China

Coreactant-free electrochemiluminescence (ECL) is promising for removing the exogenous effects of coreactant and simplify the operation procedures and setups of commercialized ECL bioassays. Herein, an electrosterically involved strategy for achieving a low-triggering-potential (+0.21 V vs Ag/AgCl) and coreactant-free ECL from dual-stabilizer-capped CdTe nanocrystals (NCs) is proposed with mercaptopropionic acid (MPA) and hexametaphosphate (HMP) as the capping agents of luminophores. Upon employing the CdTe NCs as the ECL tag for the immunoassay, all the tags in the bioconjugates of the CdTe NCs and the secondary antibody (Ab2|CdTe) as well as in the final achieved sandwich-type immunocomplexes can exhibit efficient coreactant-free ECL with an electrosterically involved triggering potential nature. The bioconjugates of Ab2|CdTe with Ab2 no more than 30 kDa, such as the thyroid stimulating hormone (30 kDa) and the recombinant pro-gastrin releasing peptide (ProGRP, 14 kDa), merely exhibit coreactant-free ECL around +0.24 V, while bioconjugates of Ab2| CdTe with an Ab2 beyond 30 kDa only give off coreactant-free ECL around +0.82 V. Due to the further enhanced electrosteric effect in sandwich-type immunocomplexes, only the ECL immunosensor with ProGRP as the target can give off coreactant-free ECL around +0.24 V. The electrosterically involved and coreactant-free ECL of CdTe NCs is consequently utilized to sensitively and selectively determine the molecular protein ProGRP, which demonstrates a wide linearity range from 0.1 to 2000 pg/mL and a low limit of detection at 0.05 pg/mL (S/N = 3). This low-triggering-potential and coreactant-free combined ECL platform indicates that engineering the surface of CdTe NCs with a protein can improve the performance of ECL tags in a protein-weight-involved electrosterical way.

关键词： Electrochemiluminescence Luminophore

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Taxonomy and regeneration of a newly recorded Polychaete Capitella teleta(Annelida,Capitellidae)in the coastal water of Shandong,China

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Journal of Oceanology and Limnology 2022年第1期40卷 309-321页

作者： Qian LI Yongnan LI Yue WANG xuwen WU Linlin zhang CAS and Shandong Province Key Laboratory of Experimental Marine Biology&Center of Deep Sea Research Center for Ocean Mega-ScienceInstitute of OceanologyChinese Academy of SciencesQingdao 266071China Laboratory for Marine Biology and Biotechnology Pilot National Laboratory for Marine Science and Technology(Qingdao)Qingdao 266237China University of Chinese Academy of Sciences Beijing 100049China Department of Marine Organism Taxonomy&Phylogeny Institute of OceanologyChinese Academy of SciencesQingdao 266071China

The polychaete species of Capitella are widely distributed in the China seas,however little is known about Capitella taxonomy,and specimens collected from China have been identifi ed as Capitella capitata(Fabricius,1780)for more than 50 *** was considered to be Arctic and subarctic in distribution,therefore the records of *** in the China seas probably represent other species.A taxonomic study based on the samples collected from the northeast coastal water of Shandong Province reveals a diff erent species,Capitella teleta Blake et al.,2009,which is recorded in the China seas for the fi rst ***,*** can be easily distinguished from *** by the absence of neuropodial capillaries on chaetigers 8 and *** identity of *** is further supported by genetic distance and phylogenetic analyses assessed from mitochondrial cytochrome c oxidase subunit I(COI)*** addition,the regeneration feature of *** was studied through whole mount immunohistochemistry and chemical *** amputation,the wound of *** was healed within 24 h,forming a signifi cant regeneration blastema by 3 days post amputation(dpa).By 5 dpa,muscle tissues regenerated,nerve fi bers also *** 7 dpa,neurites and muscle tissues are both signifi cantly ***,there are more than ten segments regenerated until 16 *** a highly opportunistic species,Capitella teleta is distributed in China,Japan,Korea,North America,and the *** is expected to be an excellent model for studying developmental genetics and evolution of regeneration.

关键词： Annelid Capitella teleta regeneration Chinese waters

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Energetic metal salts based on 3-cyano-1,5-(5-nitro-1,2,4-triazolyl) formazan: Synthesis, crystal structure, thermal stability, and catalysis on the thermal decomposition of ammonium perchlorate

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STRUCTURAL CHEMISTRY 2025年 1-11页

作者： Xia, Jianglu zhang, Guojie Li, Bin Duan, xuwen Yan, Biao Sha, Kailei Pei, Chonghua Wu, Bo Southwest Univ Sci & Technol State Key Lab Environm Friendly Energy Mat Mianyang 621000 Peoples R China Luzhou North Chem Ind Co Ltd Luzhou Peoples R China

Ammonium perchlorate (AP) serves as an important component in solid propellants. Adding catalysts to facilitate its thermal decomposition can enhance the combustion performance of solid propellants. Inspiring by the remarkable thermal stability and resistance to mechanical stimuli of the 3-cyano-1,5-(5-nitro-1,2,4-triazolyl) formazan, four energetic metal salts with 3-cyano-1,5-(5-nitro-1,2,4-triazolyl) formazan as energy storage units were synthesized and well characterized. The molecular structures of the compounds 1-2 were confirmed by single-crystal X-ray diffraction. The thermal behaviors and sensitivities of these new four energetic metal salts were determined by the differential scanning calorimetry (DSC) and BAM methods. These new four energetic metal salts possess excellent thermal stability with decomposition peak temperatures over 259 degrees C and low impact and friction sensitivity (IS > 40 J, FS > 360 N). Additionally, the four energetic metal salts exhibited outstanding performance in accelerating the thermal decomposition of AP, the high-temperature peak decreased by 30 to 120 degrees C, and the heat release increased significantly, which was 1.1 to 2.8 times of pure AP. The decomposition activation energy (E-a) of pure AP and AP with 10 wt% compounds 1-4 were calculated using the Kissinger equations, respectively. The AP decomposition activation energy decreased by 9.41 to 18.45 kJmol(-1). These experimental results indicate that the four energetic metal salts are expected to be the alternative additives to accelerate the catalytic decomposition of AP in composite solid propellants.

关键词： Energetic metal salts 3-Cyano-1,5-(5-nitro-1,2,4-triazolyl) formazan Thermal properties Low sensitivity Ammonium perchlorate

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Optimising maize threshing process with temporal proximity soft actor-critic deep reinforcement learning algorithm

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BIOSYSTEMS ENGINEERING 2024年 248卷 229-239页

作者： zhang, Qiang Fang, xuwen Gao, Xiaodi zhang, Jinsong Zhao, Xuelin Yu, Lulu Yu, Chunsheng Zhou, Deyi Zhou, Haigen zhang, Li Wu, Xinling Jilin Univ Coll Biol & Agr Engn Changchun 130022 Peoples R China Jilin Jianzhu Univ Sch Emergency Sci & Engn Changchun 130118 Peoples R China

Maize threshing is a crucial process in grain production, and optimising it is essential for reducing post-harvest losses. This study proposes a model-based temporal proximity soft actor-critic (TP-SAC) algorithm to optimise the maize threshing process in the threshing drum. The proposed approach employs an LSTM model as a real-time predictor of threshing quality, achieving an R2 of 97.17% and 98.43% for damage and unthreshed rates on the validation set. In actual threshing experiments, the LSTM model demonstrates an average error of 5.45% and 3.83% for damage and unthreshed rates. The LSTM model is integrated with the TP-SAC algorithm, acting as the environment with which the TP-SAC interacts, enabling efficient training with limited real-world data. The TPSAC algorithm addresses the temporal correlation in the threshing process by incorporating temporal proximity sampling into the SAC algorithm's experience replay mechanism. TP-SAC outperforms the standard SAC algorithm in the simulated environment, demonstrating better sample efficiency and faster convergence. When deployed in actual threshing operations, the TP-SAC algorithm reduces the damage rate by an average of 0.91% across different feed rates compared to constant control. The proposed TP-SAC algorithm offers a novel and practical approach to optimising the maize threshing process, enhancing threshing quality.

关键词： Threshing quality optimisation Agricultural machinery Machine learning Agricultural automation Sensitivity analysis

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