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CFD-PBM coupled modeling of the liquid-liquid dispersion characteristics and structure optimization for Kenics static mixer

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Chinese Journal of Chemical Engineering 2024年第6期70卷 173-188页

作者： Junhai Deng Shilin Lan Juchang Wu Shenghua Du Weidong Liu Luchang Han Yefeng Zhou National&Local United Engineering Research Centre for Chemical process Simulation and Intensification Chemical Process Simulation and Optimization Engineering Research Center of Ministry of EducationXiangtan UniversityXiangtan 411105China Hunan Haili Chemical Industry Company Limited Changsha 410000China

Kenics static mixers(KSM)are extensively used in industrial mixing-reaction processes by virtue of high mixing efficiency,low power homogenization and easy continuous *** liquid droplet size and its distribution and thus revealing the dispersion characteristics are of great significance for structural optimization and process intensification in the *** this work,a computational fluid dynamics-population balance model(CFD-PBM)coupled method is employed to systematically investigate the effects of operating conditions and structural parameters of KSM on droplet size and its distribution,to further reveal the liquid-liquid dispersion *** indicate that higher Reynolds numbers or higher dispersed phase volume fractions increase energy dissipation,reducing Sauter mean diameter(SMD)of dispersed phase droplets and with a shift in droplet size distribution(DSD)towards smaller *** aspect ratios,greater blade twist and assembly angles amplify shear rate,leading to smaller droplet size and a narrower DSD in the smaller *** degree of impact exerted by the aspect ratio is notably ***,mixing elements with different spin enhance shear and stretching *** to the same spin,SMD becomes 3.7-5.8 times smaller in the smaller size range with a significantly narrower *** into account the pressure drop and efficiency in a comprehensive manner,optimized structural parameters for the mixing element encompass an aspect ratio of 1-1.5,a blade twist angle of 180°,an assembly angle of 90°,and interlaced assembly of adjacent elements with different *** work provides vital theoretical underpinning and future reference for enhancing KSM performance.

关键词： CFD Population balance Liquid-liquid dispersion Kenics static mixer

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On the determination of particle impact breakage in selection function

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Particuology 2022年第6期20卷 117-132页

作者： Li Ge Wang Ruihuan Ge Xizhong Chen process systems enterprise HammersmithLondonUK Department of Chemical and Biological Engineering University of SheffieldUK process and Chemical Engineering School of EngineeringUniversity College CorkIreland

This paper presents a thorough study of particle impact breakage in selection function with a unified breakage *** impact mode and breakage pattern for particulate materials are classified based on a significant review of well-established impact *** was found that the lack of a unified breakage criterion to determine the breakage probability disables a direct comparison of particle breakage propensity from different impact loading *** literature breakage models to describe the breakage probability are reviewed where the advantage and drawback of these models are *** sourced literature breakage models are compared with the zeolite breakage datasets in a unified breakage criterion to evaluate the model performance.A novel computational modelling workflow for a milling process is proposed to provide a guidance in implementing the digital twin in milling process *** breakage probability models,*** selection functions are comprehensively assessed in population balance model to examine the model *** model simplicity and fidelity in the model assessment are specifically discussed and the value of digital twin in substantially reducing the experimental trials is highlighted.

关键词： Impact breakage Breakage criteria Breakage model assessment Selection function Population balance model Digital twin

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Enhancing Telemarketing Success Using Ensemble-Based Online Machine Learning

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Big Data Mining and Analytics 2024年第2期7卷 294-314页

作者： Shahriar Kaisar Md Mamunur Rashid Abdullahi Chowdhury Sakib Shahriar Shafin Joarder Kamruzzaman Abebe Diro Department of Information systems and Business Analytics RMIT UniversityMelbourne 3000Australia School of Engineering and Technology Central Queensland UniversityRockhampton 4700Australia Faculty of Engineering Computer and Mathematical ScienceUniversity of AdelaideAdelaide 5005Australia Centre for Smart Analytics Federation University AustraliaBallarat 3350Australia School of Accounting Information Systems and Supply ChainRMIT UniversityMelbourne 3000Australia

Telemarketing is a well-established marketing approach to offering products and services to prospective *** effectiveness of such an approach,however,is highly dependent on the selection of the appropriate consumer base,as reaching uninterested customers will induce annoyance and consume costly enterprise resources in vain while missing interested *** introduction of business intelligence and machine learning models can positively influence the decision-making process by predicting the potential customer base,and the existing literature in this direction shows promising ***,the selection of influential features and the construction of effective learning models for improved performance remain a ***,from the modelling perspective,the class imbalance nature of the training data,where samples with unsuccessful outcomes highly outnumber successful ones,further compounds the problem by creating biased and inaccurate ***,customer preferences are likely to change over time due to various reasons,and/or a fresh group of customers may be targeted for a new product or service,necessitating model retraining which is not addressed at all in existing works.A major challenge in model retraining is maintaining a balance between stability(retaining older knowledge)and plasticity(being receptive to new information).To address the above issues,this paper proposes an ensemble machine learning model with feature selection and oversampling techniques to identify potential customers more accurately.A novel online learning method is proposed for model retraining when new samples are available over *** newly introduced method equips the proposed approach to deal with dynamic data,leading to improved readiness of the proposed model for practical adoption,and is a highly useful addition to the *** experiments with real-world data show that the proposed approach achieves excellent results in all cases(e.g.,98.6

关键词： machine learning online learning oversampling telemarketing imbalanced dataset ensemble model

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The influence of Lactobacillus plantarum fermentation in selenium-enriched Brassica napus L.:changes in the nutritional constituents,bioactivities and bioaccessibility

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Oil Crop Science 2024年第2期9卷 81-90页

作者： Wen Wang Zhixiong He Ruiying Zhang Min Li Zhenxia Xu Xia Xiang Oil Crops Research Institute Chinese Academy of Agricultural SciencesOil Crops and Lipids Process Technology National&Local Joint Engineering LaboratoryKey Laboratory of Oilseeds ProcessingMinistry of Agriculture and Rural AffairsHubei Key Laboratory of Lipid Chemistry and NutritionWuhan 430062China

Selenium(Se)-enriched Brassica napus *** a valuable organic Se *** this study,the fermentation broth enriched with organic Se(FFS)was prepared using Lactobacillus plantarum to ferment the substrate of Se-enriched Brassica napus *** increases were observed after fermentation in total sugars,reducing sugars,soluble proteins,total phenolic content(TPC),and total flavonoid content(TFC).The organic Se was retained at a concentration of 54.75 mg/g in the freeze-dried *** component analysis and cluster analysis showed good separation between the FFS and unfermented(FS)*** 2-ethyloxetane had the highest content among all volatiles,while sinapine had the highest content among all phenolic *** fermentation process showed remarkable improvement in the abundance and concentration of volatile compounds and phenolic contents,making FFS exhibit strong antioxidant activity and inhibitory capacity againstα-glucosidase *** bioaccessibility of phenolic compounds was significantly greater in FFS compared to *** analysis revealed that the majority of phenolic compounds contained in FFS did not exhibit mutagenicity toxicity,hepatotoxicity,skin sensitization,or blood-brain barrier penetration,indicating a favorable level of ***,our study provides a new insight into the further utilization of Se-enriched Brassica napus *** foods.

关键词： Se-enriched Brassica napus L. Fermentation Antioxidant activity Inhibitory activity Bioaccessibility

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Validation of a particle impact breakage model incorporating impact number effect

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Particuology 2023年第4期75卷 96-108页

作者： Lianzhen Zhang Li Ge Wang Yin Wang Yi He Xizhong Chen College of Pipeline and Civil Engineering China University of PetroleumQingdaoChina process systems enterprise HammersmithLondonUK Department of Chemical and Biological Engineering University of SheffieldSheffieldUK State Key Laboratory of Coastal and Offshore Engineering Dalian University of TechnologyDalianChina TenFong Technology Ltd ShenzhenChina

This paper presents validation of a particle impact breakage model *** and Peukert model with a focus on the impact *** Vogel and Peukert model developed based on mechanical and sta-tistical foundation has been widely used in various fields such as mineral engineering and chemical engineering but is barely studied in the application of repeated *** selective breakage data in the literature is collected to provide the database for model *** has shown that the Vogel and Peukert model is generally applicable to all the breakage cases considering the impact *** effect of impact number is further elaborated in the population balance model(PBM)whereas the particle dynamics are provided from Discrete Element Method(DEM)simulation of an impact pin *** global system analysis of impact number is carried out with the synergic effect from impact *** successful validation of Vogel and Peukert model incorporating the effect of impact number demon-strates its versatility whilst other key parameters such as impact energy and particle size can be considered in parallel.

关键词： Model validation Impact number Damage accumulation DEM-PBM coupling Global system analysis

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A potential giant gallium deposit hosted in the tailing dam of the Fankou Zn-Pb deposit in northern Guangdong Province, South China

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China Geology 2024年第1期7卷 157-160页

作者： Peng-peng Yu Zhao-bin Hu Yi Zheng Lan-xuan Guo Shi-yuan Ouyang Gui-qiang Yuan Shang-zhou Chen Cheng-ming Wang Xi Chen School of Earth Sciences and Geological Engineering Sun Yat-sen UniversityGuangzhou 510275China Guangdong Provincial Key Lab of Geological process and Mineral Resources Survey Sun Yat-sen UniversityGuangzhou 510275China Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) Zhuhai 519000China Zhongjin Lingnan Nonfemet Co. LtdShenzhen 518000China

*** The Fankou giant zinc(Zn)-lead(Pb)deposit in Guangdong Province is well-known for its huge reserves of over 10 Mt(million ton)Zn+Pb metals and high ore-grade with Zn+Pb exceeding 15%(Guangdong Fankou Deposit Investigation Group,1980;Zhu XY et al.,2017).After 60 years of exploration and exploitation,the deposit has accumulated millions of tons of *** interesting question is that what components are hosted in these tailings,and whether some key and critical metals such as gallium and germanium are extremely enriched and worth further comprehensive *** motivated us to conduct an integrated set of field investigation,sampling,major-trace element analyses and reserve assessments about the Fankou *** this contribution,we discover that the tailings contain a variety of metal elements such as zinc,lead and gallium with comprehensive utilization *** data can act as a scientific guidance for further exploration and utilization of the Fankou tailings,and aid to enhance the utilization efficiency of the key mineral resource in *** study also provide demonstration for future green mine construction in China.

关键词： deposit comprehensive Guangdong

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Information Management in Disaster and Humanitarian Response: A Case in United Nations Office for the Coordination of Humanitarian Affairs

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Intelligent Information Management 2023年第2期15卷 47-65页

作者： Solomon M. Zewde Department of Information systems and enterprise Resource Management California Intercontinental University Irvine CA USA

To guarantee a unified response to disasters, humanitarian organizations work together via the United Nations Office for the Coordination of Humanitarian Affairs (OCHA). Although the OCHA has made great strides to improve its information management and increase the availability of accurate, real-time data for disaster and humanitarian response teams, significant gaps persist. There are inefficiencies in the emergency management of data at every stage of its lifecycle: collection, processing, analysis, distribution, storage, and retrieval. Disaster risk reduction and disaster risk management are the two main tenets of the United Nations’ worldwide plan for disaster management. Information systems are crucial because of the crucial roles they play in capturing, processing, and transmitting data. The management of information is seldom discussed in published works. The goal of this study is to employ qualitative research methods to provide insight by facilitating an expanded comprehension of relevant contexts, phenomena, and individual experiences. Humanitarian workers and OCHA staffers will take part in the research. The study subjects will be chosen using a random selection procedure. Online surveys with both closed- and open-ended questions will be used to compile the data. UN OCHA offers a structure for the handling of information via which all humanitarian actors may contribute to the overall response. This research will enable the UN Office for OCHA better gather, process, analyze, disseminate, store, and retrieve data in the event of a catastrophe or humanitarian crisis.

关键词： Information systems Management Information Management UNOCHA (United Nations Office for Coordination of Humanitarian Affairs) Humanitarian Emergency Actors Disaster Risk Reduction Response Emer-gency Management

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Two-Stage Mathematical Programming Approach for Steelmaking process Scheduling Under Variable Electricity Price

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Journal of Iron and Steel Research International 2013年第7期20卷 1-8页

作者： TAN Yuan-yuan HUANG Ying-lei LIU Shi-xin College of Information Science and Engineering Northeastern University State Key Laboratory of Synthetical Automation for process Industries enterprise Solution Business Group Shanghai Baosight Software Limited Company

The steelmaking process scheduling problem by considering variable electricity price （SMSPVEP） was in- vestigated. A decomposition approach was proposed for the SMSPVEP. At the first stage, mathematical program-ming was utilized to minimize the maximum completion time for each cast without considering variable electricity price. At the second stage, based on obtained relative schedules of all casts, a mathematical model was formulated with an objective of minimizing the energy cost for all casts scheduling problem. The two-stage models were tested on randomly generated instances based on the practical process in a Chinese steelmaking plant. Computational results demonstrate the effectiveness of the proposed approach.

关键词： steelmaking process scheduling variable electricity price mathematical programming

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Thermal pyrolysis conversion of methane to hydrogen(H_(2)):A review on process parameters,reaction kinetics and techno-economic analysis

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Chinese Chemical Letters 2024年第8期35卷 62-73页

作者： Yi Herng Chan Zhe Phak Chan Serene Sow Mun Lock Chung Loong Yiin Shin Ying Foong Mee Kee Wong Muhammad Anwar Ishak Ven Chian Quek Shengbo Ge Su Shiung Lam PETRONAS Research Sdn.Bhd.(PRSB) Kawasan Institusi BangiLot 3288&3289Off Jalan Ayer ItamKajang 43000Malaysia PETRONAS Carbon Capture&Storage(CCS)enterprise PETRONAS Twin TowersKuala Lumpur City CentreKuala Lumpur 50088Malaysia CO_(2)Research Center(CO2RES) Department of Chemical EngineeringUniversiti Teknologi PETRONASSeri Iskandar 32610Malaysia Department of Chemical Engineering and Energy Sustainability Faculty of EngineeringUniversiti Malaysia Sarawak(UNIMAS)Kota Samarahan 94300Malaysia Institute of Sustainable and Renewable Energy(ISuRE) Universiti Malaysia Sarawak(UNIMAS)Kota Samarahan 94300Malaysia Higher Institution Centre of Excellence(HICoE) Institute of Tropical Aquaculture and Fisheries(AKUATROP)Universiti Malaysia TerengganuKuala Nerus 21030Malaysia Co-Innovation Center of Efficient processing and Utilization of Forest Resources College of Materials Science and EngineeringNanjing Forestry UniversityNanjing 210037China Center for Global Health Research(CGHR) Saveetha Medical CollegeSaveetha Institute of Medical and Technical Sciences(SIMATS)Saveetha UniversityChennai 602105India

Hydrogen(H_(2))is a promising renewable energy which finds wide applications as the world gears toward low-carbon ***,current H_(2) production via steam methane reforming of natural gas or gasification of coal are laden with high CO_(2) ***,methane(CH_(4))pyrolysis has emerged as a potential technology to generate low-carbon H_(2) and solid *** this review,the current state-of-art and recent progress of H_(2) production from CH_(4) pyrolysis are reviewed in *** such as funda-mental mechanism and chemistry involved,effect of process parameters on the conversion efficiency and reaction kinetics for various reaction media and catalysts are elucidated and critically ***-ature,among other factors,plays the most critical influence on the methane pyrolysis *** metal/salt could lower the operating temperature of methane pyrolysis to1000℃.Based on the reaction kinetics,metal-based cata-lysts were more efficient in lowering the activation energy of the reaction to 29.5-88 kJ/mol from that of uncatalyzed reaction(147-420.7 kJ/mol).Besides,the current techno-economic performance of the pro-cess reveals that the levelized cost of H_(2) is directly influenced by the sales price of carbon(by-product)generated,which could offset the overall ***,the main challenges of reactor design for efficient product separation and retrieval,as well as catalyst deactivation/poisoning need to be debottlenecked.

关键词： Pyrolysis Methane Hydrogen Reaction kinetics Techno-economic analysis

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UAV-Assisted Dynamic Avatar Task Migration for Vehicular Metaverse Services: A Multi-Agent Deep Reinforcement Learning Approach

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IEEE/CAA Journal of Automatica Sinica 2024年第2期11卷 430-445页

作者： Jiawen Kang Junlong Chen Minrui Xu Zehui Xiong Yutao Jiao Luchao Han Dusit Niyato Yongju Tong Shengli Xie IEEE School of Automation Guangdong University of TechnologyGuangzhou 510006China 111 Center for Intelligent Batch Manufacturing based on IoT Technology Guangzhou 510006China Key Laboratory of Intelligent Information processing and System Integration of IoT Ministry of EducationGuangzhou 510006China School of Computer Science and Engineering Nanyang Technological UniversitySingaporeSingapore Pillar of Information systems Technology and Design Singapore University of Technology and DesignSingaporeSingapore College of Communication Engineering Army Engineering University of PLANanjing 210007China National Natural Science Foundation of China Beijing 100085China Key Laboratory of Intelligent Detection and IoT in Manufacturing Ministry of EducationGuangzhou 510006China Guangdong Key Laboratory of IoT Information Technology Guangzhou 510006China

Avatars, as promising digital representations and service assistants of users in Metaverses, can enable drivers and passengers to immerse themselves in 3D virtual services and spaces of UAV-assisted vehicular Metaverses. However, avatar tasks include a multitude of human-to-avatar and avatar-to-avatar interactive applications, e.g., augmented reality navigation,which consumes intensive computing resources. It is inefficient and impractical for vehicles to process avatar tasks locally. Fortunately, migrating avatar tasks to the nearest roadside units(RSU)or unmanned aerial vehicles(UAV) for execution is a promising solution to decrease computation overhead and reduce task processing latency, while the high mobility of vehicles brings challenges for vehicles to independently perform avatar migration decisions depending on current and future vehicle status. To address these challenges, in this paper, we propose a novel avatar task migration system based on multi-agent deep reinforcement learning(MADRL) to execute immersive vehicular avatar tasks dynamically. Specifically, we first formulate the problem of avatar task migration from vehicles to RSUs/UAVs as a partially observable Markov decision process that can be solved by MADRL algorithms. We then design the multi-agent proximal policy optimization(MAPPO) approach as the MADRL algorithm for the avatar task migration problem. To overcome slow convergence resulting from the curse of dimensionality and non-stationary issues caused by shared parameters in MAPPO, we further propose a transformer-based MAPPO approach via sequential decision-making models for the efficient representation of relationships among agents. Finally, to motivate terrestrial or non-terrestrial edge servers(e.g., RSUs or UAVs) to share computation resources and ensure traceability of the sharing records, we apply smart contracts and blockchain technologies to achieve secure sharing management. Numerical results demonstrate that the proposed approach

关键词： Avatar blockchain metaverses multi-agent deep reinforcement learning transformer UAVs

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