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Comprehensive recovery of W,V,and Ti from spent selective reduction catalysts

Rare Metals 2023年第10期42卷 3518-3531页

作者： Li-Wen Ma Xiao-Li Xi Jia-Peng Chen Fan Guo Zi-Jie Yang Zuo-Ren Nie Key Laboratory of Advanced Functional Materials Ministry of EducationFaculty of Materials and ManufacturingBeijing University of TechnologyBeijing100124China Collaborative Innovation Center of Capital Resource-Recycling Material Technology Beijing University of TechnologyBeijing100124China National Engineering Laboratory for Industrial Big-Data Application Technology Beijing University of TechnologyBeijing100124China

In this study,spent WO_(3)/V_(2)O_(5)-TiO_(2) catalysts used for selective catalytic reduction were treated by a hydrometallurgical process to comprehensively recover valuable metallic elements,such as W,V,and *** and Si impurities were preferentially removed by selective micro wave-assisted alkali leaching.W and V were leached by enhanced high-pressure leaching with efficiencies estimated at 95% and 81%.The leaching of W and V followed the nuclear shrinkage model controlled by the combination of product layer diffusion and interfacial chemical reaction.A synergistic extraction was applied to separate W and V using an extractant mixture of di-(2-ethylhexyl)phosphoric acid P204 and the primary amine *** extraction efficiencies of V and W reached 86.5% and 6.3%,respectively,with a separation coefficient(V/W) of *** product was precipitated after extraction to yield ammonium paratung state(APT) and NH_(4)VO_(3).The TiO_(2)catalyst carrier residue meets commercial specifications for *** comprehensive recovery process with the characteristics of high-pressure leaching and synergistic extraction realizes the resourceful utilization of the spent catalysts.

关键词： Spent selective catalytic reduction(SCR)catalysts Microwaveleaching Pressure leaching Synergistic extraction Comprehensive recovery

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A New Mathematical Model in Three-dimensional Variational data Assimilation for Air Quality Prediction

A New Mathematical Model in Three-dimensional Variational Da...

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2024 International Conference on Applied Mathematics, Modelling and Statistics application, AMMSA 2024

作者： Zhu, Zhaochen Gao, Yunyun Li, Haihe School of Statistics and Mathematics Zhejiang Gongshang University Hangzhou China Collaborative Innovation Center of Statistical Data Engineering Technology & Application Zhejiang Gongshang University Hangzhou China School of Economics and Management Xinjiang Institute of Technology Aksu China

The three-dimensional variational (3DVar) data assimilation is a critical component of air quality prediction, and the forecast state in air quality prediction is inferred to be approximately low rank and heavily laden with low-frequency noises through the application of tensor decomposition. To reduce the effects of these uncertainties and achieve a more precise analysis state, we establish a new objective function that consists of the weighted sum of three terms: the first term is the norm difference between the gradients of the forecast and analysis states, the second term is the norm difference between the observation and the analysis state in observational space, and the third term is the rank of the analysis state. Numerical results show that our treatment is superior to other methods, such as the classic 3DVar method, the En3DVar method, and the method of 3DVar with forecast gradient. © Published under licence by IOP Publishing Ltd.

关键词： Tensors

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Facile synthesis of W-Mo bimetallic oxides with high adsorption properties from secondary resources

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Tungsten 2024年第4期6卷 806-820页

作者： Jia-Li Cheng Yang-Si Liu Xiao-Li Xi Zuo-Ren Nie Collaborative Innovation Center of Capital Resource-Recycling Material Technology College of Materials Science and EngineeringBeijing University of TechnologyBeijing100124China National Engineering Laboratory for Industrial Big-Data Application Technology Beijing University of TechnologyBeijing100124China Key Laboratory of Advanced Functional Materials Ministry of EducationBeijing University of TechnologyBeijing100124China

A simple solvothermal method was used to obtain W-Mo bimetallic oxides from W-Mo alloy scrap,and pure metal powders were also used as the raw materials to simulate *** products had a sea urchin-like structure with abundant oxygen vacancies and the products prepared at low temperatures forms a sosoloid resembling orthorhombic W_(0.4)Mo_(0.6)O_(3).The WMo bimetallic oxide prepared at the reaction temperature of 120℃exhibited excellent selective adsorption performance for methylene blue(MB),which the adsorption rate of MB reached 99%in 12 min and the adsorption rate reached 90%after6 adsorption *** the W-Mo molar ratio is 1:3,the maximum adsorption capacity of sample for MB can reach1148 mg·g^(-1).The adsorption process followed the Langmuir and pseudo-second-order models,which is surface-controlled monolayer *** experimental results show the feasibility of preparing W-Mo bimetal oxide products from pure materials and *** process is simple and effective,which offered a potential approach for secondary resource recycling and reusing.

关键词： W-Mo bimetallic oxide Oxygen vacancy Selective adsorption W-Mo alloy scrap Solvothermal

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Improvement in oxidation resistance of Cantor alloy through microstructure tailoring

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China Foundry 2022年第6期19卷 503-510页

作者： Bao-lin Pang Man Wang Yue-gang Shen Xiao-li Xi Zuo-ren Nie Collaborative Innovation Center of Capital Resource-Recycling Material Technology Faculty of Materials and ManufacturingBeijing University of TechnologyBeijing 100124China Key Laboratory of Advanced Functional Materials Ministry of EducationBeijing University of TechnologyBeijing 100124China National Engineering Laboratory for Industrial Big-data Application Technology Beijing University of TechnologyBeijing 100124China

A method of improving the oxidation resistance of Cantor alloy through microstructure tailoring was *** with distinctive microstructures were achieved by different annealing treatments on the cold-rolled Cantor *** test was then carried out on the various annealed samples at 800°C for 24 h in *** oxidation behavior was evaluated in terms of oxidation rate,surface and cross-section microstructure *** stratified oxide layers including outer Mn_(2)O_(3) and inner Cr_(2)O_(3) were observed in all the annealed samples,the thickness of Mn_(2)O_(3) and Cr_(2)O_(3) layers was ***,the samples exhibited different oxidation *** results indicate that the oxidation resistance of various annealed samples is closely related with grain size as well as twin density.

关键词： Cantor alloy annealing temperature grain size twins oxidation behavior

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Multimodal destination image and user engagement: a sequential research design

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Tourism Management 2025年 111卷

作者： Tan, Jie Cheng, Mingming Chen, Ji Zhu, Jingjie Yu, Qinglin Chen, Sichao Social Media Research Lab School of Management and Marketing Curtin University Kent Street Bentley Perth WA Australia Zhejiang Philosophy and Social Science Laboratory (Economic Forecasting and Policy Simulation Laboratory of Zhejiang Gongshang University) Hangzhou China Collaborative Innovation Center of Statistical Data Engineering Technology & Application Zhejiang Gongshang University Hangzhou China School of Statistics and Mathematics Zhejiang Gongshang University Hangzhou China College of Economics Hangzhou Dianzi University Hangzhou China

This study employs a sequential research design to investigate New Zealand's multimodal projected destination image and the impact on user engagement. Using 1) multimodal analytics and 2) Qualitative Comparative Analysis (QCA), findings show that New Zealand has seven distinct projected destination images (e.g., majestic landscapes and thrilling adventures, tranquil nature retreats). Videos that integrate nature-focused visuals, medium-energy background sounds and text emphasizing Māori culture and environmental stewardship or exploration and leisure are more likely to have higher user engagement. This study advances tourism literature by empirically developing multimodal projected destination image and establishing a systematic methodological framework in approaching multimodal data in tourism. This study also offers critical insights for DMOs to effectively develop multimodal projected destination image using short-form videos. © 2025 Elsevier Ltd

关键词： Auditory Destination image Multimodal data fusion Social media engagement Textual Video Visual

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Impact of host country's business environment on China's OFDI in Belt and Road countries:Based on the perspective of investment motives

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data Science and Informetrics 2023年第4期3卷 109-122页

作者： Hui Zeng Hongyu Xia Qiang Zhao School of Statistic and Mathematics Zhejiang Gongshang UniversityHangzhouChina Collaborative Innovation Center of Statistical Data Engineering Technology&Application Zhejiang Gongshang UniversityHangzhouChina

This study used a two-step system generalized method of moments to examine the impact of the business environment in the Belt and Road countries on outward foreign direct investment(OFDI)of China while presenting a deeper investigation into the spatial characteristics of OFDI through a spatial error *** results revealed that the impact mentioned above varies with different investment *** Chinese businesses are motivated by local consumer markets or seeking a human workforce to make an outward direct investment,they will choose countries with poor business *** will select countries with stable business environments for their natural resources or strategic *** spatial agglomeration exists in China's OFDI in the countries and regions along the routes,while substantial evidence is absent on the business environment investment effect with different ***,relevant recommen-dations concluded according to the study.

关键词： Business environment Outward foreign direct investment Investment motives Spatial characteristics Two-step system generalized method of moments

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Does Urbanization Promote the Urban–Rural Equalization of Basic Public Services? Evidence from Prefectural Cities in China

SSRN

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SSRN 2022年

作者： Cheng, Kaiming Liu, Shucheng Hangzhou310018 China Collaborative Innovation Center of Statistical Data Engineering Technology & Application Zhejiang Gongshang University Hangzhou310018 China

The question of how urbanization affects the urban–rural equalization of basic public services (BPS) remains unexplored, although BPS equalization is an important means of achieving common prosperity. Based on the BPS supply and demand perspective, we examine the path mechanisms through which urbanization affects urban–rural BPS equalization. Based on panel data from Chinese prefectural cities from 2003 to 2020, a Technique for Order of Preference by Similarity to Ideal Solution model, combined CRITIC-entropy weights and an information entropy function, are used to measure the level of urban–rural BPS equalization. The study found that, overall, the direct and indirect effects of urbanization on urban–rural BPS equalization are significantly positive, and urbanization is conducive to urban–rural BPS equalization improvement in cities and surrounding areas. The effect of urbanization on urban–rural BPS equalization significantly varies between different regions. The study concludes that the process of people-centered urbanization should be accelerated to optimize the spatial layout of BPS, promote high-quality economic development and achieve common prosperity. © 2022, The Authors. All rights reserved.

关键词： Equalizers

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Time–frequency co-movement and risk connectedness among cryptocurrencies:new evidence from the higher-order moments before and during the COVID-19 pandemic

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Financial innovation 2022年第1期8卷 2411-2466页

作者： Jinxin Cui Aktham Maghyereh Collaborative Innovation Center of Statistical Data Engineering Technology and Application Zhejiang Gongshang UniversityHangzhou 310018People’s Republic of China International Business School Zhejiang Gongshang UniversityHangzhou 310018People’s Republic of China Department of Accounting and Finance United Arab Emirates UniversityAbu DhabiUnited Arab Emirates

Analyzing comovements and connectedness is critical for providing significant implications for crypto-portfolio risk ***,most existing research focuses on the lower-order moment nexus(*** return and volatility interactions).For the first time,this study investigates the higher-order moment comovements and risk connectedness among cryptocurrencies before and during the COVID-19 pandemic in both the time and frequency *** combine the realized moment measures and wavelet coherence,and the newly proposed time-varying parameter vector autoregression-based frequency connectedness approach(Chatziantoniou et *** Integration and risk transmission in the market for crude oil a time-varying parameter frequency connectedness *** report,University of Pretoria,Department of Economics,2021)using intraday high-frequency *** empirical results demonstrate that the comovement of realized volatility between BTC and other cryp-tocurrencies is stronger than that of the realized skewness,realized kurtosis,and signed jump *** comovements among cryptocurrencies are both time-dependent and *** the volatility spillovers,the risk spillovers of high-order moments and jumps are also significant,although their magnitudes vary with moments,making them moment-dependent as well and are lower than volatility *** connectedness demonstrates that the risk connectedness is mainly transmitted in the short term(1–7 days).Furthermore,the total dynamic connectedness of all realized moments is time-varying and has been significantly affected by the outbreak of the COVID-19 *** practical implications are drawn for crypto investors,portfolio managers,regulators,and policymakers in optimizing their investment and risk management tactics.

关键词： Cryptocurrencies Higher-order realized moments and jumps Time-frequency comovements and connectedness High-frequency data COVID-19 pandemic

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A grain loss prediction method based on integration of multiple classification models

A grain loss prediction method based on integration of multi...

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作者： Li, Bingchan Mao, Bo College of Marine Engineering Electrization and Intelligence Jiangsu Maritime Institute Nanjing211170 China National Center for Grain Big Data Collection and Application Technology Innovation Collaborative Innovation Center for Modern Grain Circulation and Safety College of Information Engineering Nanjing University of Finance and Economics Nanjing China

Grain production is an essential part of the Chinese economic system. It not only related to the survival and health of each people but also plays a critical role in social stability. However, more and more foods are wasted in different stages such as harvest, production, storage, and consumption. Therefore, it is essential to accurately evaluate the loss rate of grain during different stages and deal with it accordingly. With the advantages of the information technologies, a large volume of data has been collected in the different stages of grain production, such as harvest, processing, transportation, and consumption. In this paper, we propose an integrated structure to combine multiple clustering models to analyze the grain loss rate in different stages. kNN, softmax regression, decision tree, and XGBoost algorithms are studied and integrated with the proposed combined framework. The experimental results on the survey dataset suggested that the relevant algorithms of machine learning can be combined to improve the prediction accuracy of the grain loss rates. The evaluation results indicate that the proposed method can improve the accuracy to 94% in the test dataset which is higher than any other compared methods. © 2020 John Wiley & Sons, Ltd.

关键词： Decision trees

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Attribute Enhanced Graph Attention Networks for Session-based Recommendation 11

Attribute Enhanced Graph Attention Networks for Session-base...

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11th International Conference on Advanced Cloud and Big data, CBD 2023

作者： Xu, Yidan Wang, Ning Wu, Jiaqi Xu, Shuai Li, Bohan Nanjing University of Aeronautics and Astronautics Nanjing China Collaborative Innovation Center of Novel Software Technology and Industrialization Nanjing China Natl. Engineering Laboratory for Integrated Aero-Space-Ground Ocean Big Data Application Technology Xi'an China

ISBN: (纸本)9798350345346

Session-based recommendation (SBR) aims to predict the next item that the anonymous users will interact with based on their short behavior sequence. However, most of the current approaches towards SBR only focus on modeling users' interest preferences based on a series of items, ignoring extra item attributes, i.e., the brand attribute. This paper proposes a novel approach, called the Attribute Enhanced Graph Attention Networks for Session-based Recommendation (AGSR), using the brand attribute to better model user preferences. Specifically, (i) AGSR constructs the session graph of the current session to capture the user's session-level item embedding;(ii) AGSR constructs the brand global graph to capture the brand-level item embedding and brand embedding;(iii) Based on the learned node embeddings, AGSR apply attention layers to extract users' interest and brand preferences. Finally, AGSR makes the recommendation based on item features and user interest and brand preferences, so as to provide better recommendations. Extensive experiments on three real-world datasets demonstrate the effectiveness of our approach. © 2023 IEEE.

关键词： Embeddings

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