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Micro-flow structure at regime transition from bubbling to turbulent fluidization in a fluidized bed

Particuology 2024年第6期89卷 117-130页

作者： Chaoyu Yan Yue Yuan Xiaoyang Wei jesse Zhu State Key Laboratory of Heavy Oil Processing Beijing Key Laboratory of Process Fluid Filtration and SeparationCollege of Mechanical and Transportation EngineeringChina University of PetroleumBeijing 102249China China Beacons Institute The University of NottinghamNingbo315100China Department of Chemical and Biochemical Engineering University of Western OntarioLondonOntarioN6A 5B9Canada

Gas-solid fluidized beds have found extensive utilization in frontline manufacturing,in particular as low-velocity *** fluidization status,the bubbling or turbulent flow regime and the transition in between,determine the system performance in practical *** the convoluted hydrodynamics are quantitively evaluated through numerous data-processing methodologies,none of them alone can reflect all the critical information to identify the transition from the bubbling to the turbulent ***,this study was to exploit a coupling data processing methodology,in the combination of standard deviation,power spectrum density,probability density function,wavelet transform,and wavelet multiresolution method,to jointly explain the micro-flow structure at the regime transition from bubbling to turbulent *** transient differential pressure fluctuation was measured for the evaluation in a fluidized bed(0.267 m i.d.×2.5 m height)with FCC catalysts(d_(p)=65μm,ρ_(p)=1780kg/m^(3))at different superficial gas velocities(0.02–1.4 m/s).The results show that the onset of turbulent fluidization starts earlier in the top section of the bed than in the bottom *** wavelet decomposition displays that the fluctuation of differential pressure mainly concentrates on the sub-signals with an intermediate frequency *** sub-signals could be synthesized into three types of scales(micro-scale,meso-scale,and macro-scale),representing the multi-scale hydrodynamics in the fluidized *** micro-scale signal has the characteristic information of bubbling fluidization,and the characteristic information of turbulent fluidization is mainly represented by the meso-scale *** work provides a systematic comprehension of fluidization status assessment and serves as an impetus for more coupling analysis in this sector.

关键词： Flow regime transition Bubbling fluidization Turbulent fluidization Micro-flow structure Differential pressure fluctuation

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Separation density prediction of geldart A^(-)dense medium in gas-solid fluidized bed coal beneficiators

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Particuology 2024年第9期92卷 251-262页

作者： Chenyang Zhou Chengguo Liu Yue Yuan Zhijie Fu jesse Zhu Chenlong Duan School of Chemical Engineering and Technology China University of Mining and TechnologyXuzhou221116China Particle Technology Research Centre Western UniversityLondonOntarioN6A 5B9Canada

Gas-solid Fluidized Bed Coal Beneficiator(GFBCB)process is a crucial dry coal beneficiation fluidization *** work employs the GFBCB process alongside a novel Geldart A^(-)dense medium,consisting of Geldart A magnetite particles and Geldart C ultrafine coal,to separate small-size separated objects in the *** effects of various operational conditions,including the volume fraction of ultrafine coal,the gas velocity,the separated objects size,and the separation time,were investigated on the GFBCB's separation *** results indicated that the probable error for 6∼3 mm separated objects could be controlled within 0.10 g/cm^(3).Compared to the traditional Geldart B/D dense medium,the Geldart A/A^(-)dense medium exhibited better size-dependent separation performance with an overall probable error 0.04∼0.12 g/cm^(3).Moreover,it achieved a similar separation accuracy to the Geldart B/D dense medium fluidized bed with different external energy for the small-size object *** work furthermore validated a separation density prediction model based on theoretical derivation,available for both Geldart B/D dense medium and Geldart A/A^(-)dense medium at different operational conditions.

关键词： GFBCB Geldart A^(-)dense medium Separation density Separated objects size Prediction model

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苏富比纽约总部翻新

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现代装饰 2019年第7期 50-55页

作者： Shohei Shigematsu Caroline Corbett Vincent Parlatore Anahita Tabrizi Natasha Trice jesse catalano Brett Beyer 范嘉苑 OMA建筑事务所纽约分所

作为全球最古老的拍卖行,苏富比一直在适应着艺术市场的发展与变化:线上销售,数字技术,全球艺术展会和活动以及客户、商品和服务的多样化的地位日趋重要。苏富比是全球收藏家的乐园,也是一处集销售、获取和欣赏艺术品于一体的独特场所,... 详细信息

作为全球最古老的拍卖行,苏富比一直在适应着艺术市场的发展与变化:线上销售,数字技术,全球艺术展会和活动以及客户、商品和服务的多样化的地位日趋重要。苏富比是全球收藏家的乐园,也是一处集销售、获取和欣赏艺术品于一体的独特场所,它的存在赋予了'拍卖行'全新的定义。为了更好地适应艺术市场的未来变化,位于纽约约克大道1334号的苏富比总部大楼进行了全面翻新,此次转变也让苏富比拍卖行呈现出更多元化的面貌。

关键词：展览空间总部大楼

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A Machine Learning-Based Web Application for Heart Disease Prediction

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Intelligent Control and Automation 2024年第1期15卷 9-27页

作者： jesse Gabriel Independent Researcher Port Moresby Papua New Guinea

This work leveraged predictive modeling techniques in machine learning (ML) to predict heart disease using a dataset sourced from the Center for Disease Control and Prevention in the US. The dataset was preprocessed and used to train five machine learning models: random forest, support vector machine, logistic regression, extreme gradient boosting and light gradient boosting. The goal was to use the best performing model to develop a web application capable of reliably predicting heart disease based on user-provided data. The extreme gradient boosting classifier provided the most reliable results with precision, recall and F1-score of 97%, 72%, and 83% respectively for Class 0 (no heart disease) and 21% (precision), 81% (recall) and 34% (F1-score) for Class 1 (heart disease). The model was further deployed as a web application.

关键词： Heart Disease US Center for Disease Control and Prevention Machine Learn-ing Imbalanced Data Web Application

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STATNet:One-stage coal-gangue detector based on deep learning algorithm for real industrial application

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Energy and AI 2024年第3期17卷 113-125页

作者： Kefei Zhang a Teng Wang Xiaolin Yang Liang Xu jesse Thé Zhongchao Tan Hesheng Yu Key Laboratory of Coal Processing and Efficient Utilization of Ministry of Education School of Chemical Engineering and TechnologyChina University of Mining and TechnologyXuzhouJiangsu 221116China Department of Mechanical&Mechatronics Engineering University of Waterloo200 University Avenue WestWaterlooOntario N2L 3G1Canada Lakes Environmental Research Inc. 170 Columbia St.W.Suite 1WaterlooOntarioN2L 3L3 Canada Eastern Institute for Advanced Study Eastern Institute of TechnologyNingboZhejiang 315200China Department of Energy and Power Engineering Tsinghua UniversityBeijing 100084China

Coal-gangue object detection has attracted substantial attention because it is the core of realizing vision-based intelligent and green coal separation. However, most existing studies have been focused on laboratory datasets and prioritized model lightweight. This makes the coal-gangue object detection challenging to adapt to the complex and harsh scenes of real production environments. Therefore, our project collected and labeled image datasets of coal and gangue under real production conditions from a coal preparation plant. We then designed a one-stage object model, named STATNet, following the “backbone-neck-head” architecture with the aim of enhancing the detection accuracy under industrial coal preparation scenarios. The proposed model utilizes Swin Transformer as backbone module to extract multi-scale features, improved path augmentation feature pyramid network (iPAFPN) as neck module to enrich feature fusion, and task-aligned head (TAH) as head module to mitigate conflicts and misalignments between classification and localization tasks. Experimental results on a real-world industrial dataset demonstrate that the proposed STATNet model achieves an impressive AP50 of 89.27 %, significantly surpassing several state-of-the-art baseline models by 2.02 % to 5.58 %. Additionally, it exhibits stronger robustness in resisting image corruption and perturbation. These findings demonstrate its promising prospects in practical coal and gangue separation applications.

关键词： Coal-gangue detection Swin transformer Impr oved path augmentation feature pyranid network Task-aligned head Object detection

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Transparency:The Missing Link to Boosting AI Transformations in Chemical Engineering

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Engineering 2024年第8期39卷 45-60页

作者： Yue Yuan Donovan Chaffart Tao Wu jesse Zhu Ningbo Institute of Digital Twin Eastern Institute of TechnologyNingbo 315200China Department of Chemical and Biochemical Engineering The University of Western OntarioLondonON N6G 5B8Canada College of Engineering Eastern Institute of TechnologyNingbo 315200China China Beacons Institute University of Nottingham Ningbo ChinaNingbo 315100China

The issue of opacity within data-driven artificial intelligence(AI)algorithms has become an impediment to these algorithms’extensive utilization,especially within sensitive domains concerning health,safety,and high profitability,such as chemical engineering(CE).In order to promote reliable AI utilization in CE,this review discusses the concept of transparency within AI utilizations,which is defined based on both explainable AI(XAI)concepts and key features from within the CE *** review also highlights the requirements of reliable AI from the aspects of causality(i.e.,the correlations between the predictions and inputs of an AI),explainability(i.e.,the operational rationales of the workflows),and informativeness(i.e.,the mechanistic insights of the investigating systems).Related techniques are evaluated together with state-of-the-art applications to highlight the significance of establishing reliable AI applications in ***,a comprehensive transparency analysis case study is provided as an example to enhance ***,this work provides a thorough discussion of this subject matter in a way that—for the first time—is particularly geared toward chemical engineers in order to raise awareness of responsible AI *** this vital missing link,AI is anticipated to serve as a novel and powerful tool that can tremendously aid chemical engineers in solving bottleneck challenges in CE.

关键词： Transparency Explainable AI Reliability Causality Explainability Informativeness Hybrid modeling Physics-informed

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Little Tyrants

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The World of Chinese 2024年第3期 94-98页

作者： jesse Young Cai Tao 不详

A new generation of researchers and archivists examines the underappreciated history of China-made video game *** living room is peak late-1990s China—wall calendar,upholstered sofa,tape deck,and Titanic film *** of place belongs to a boxy analog TV,hooked up to the device that perhaps most defines that era of tech:Little Tyrant,or Xiaobawang(小霸王),a clone of Nintendo’s Famicom video game console cleverly marketed as a study device and famously endorsed by Jackie *** a generation(or two),Little Tyrant was their first introduction to gaming.

关键词： video hook 小霸王

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光电极表面态的静态结构与时间分辨动力学和频光谱研究

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Chinese Journal of Chemical Physics 2024年第2期37卷 376-397,I0105页

作者：张彤 jesse B.Brown Haley Fisher Mallory Liebes 皇甫至超钱余亲饶毅美国犹他州立大学化学与生物化学系犹他州洛根84322

在光催化或光电催化反应过程中,光电极的表面态扮演着重要的角色,影响着电荷的产生、分离和利用过程,从而很大程度上决定了光电极的催化性能,通常用于研究光电极表面态以改进其性能的方法是间接的、非表面特异性的以及需要超高真空条件... 详细信息

在光催化或光电催化反应过程中,光电极的表面态扮演着重要的角色,影响着电荷的产生、分离和利用过程,从而很大程度上决定了光电极的催化性能,通常用于研究光电极表面态以改进其性能的方法是间接的、非表面特异性的以及需要超高真空条件下进行的方法,无法获得真实条件下的表面态信息。电子和频光谱和电子二次谐波等非线性光学方法具有表面特异性,可以在各种条件下实现表界面系统的原位研究.本研究介绍了表面态的重要性及其与催化性能的密切关系,概述研究半导体表面态、电场和载流子动力学的方法,并重点介绍了界面特异性光谱方法在该领域的最新贡献.包括通过相位信息提取带电表面态的宽带外插法电子二次谐波技术,提供表面态动力学信息的时间分辨电子和频光谱技术和探索表面态耦合的二维电子和频光谱技术,这些非线性光学方法的进一步发展将实现对光电极表面态和界面电子特性的多角度原位表征,提供对表面态及表面电荷转移过程更深层次的理解,以启发未来光催化和光电催化材料的研究和改进.

关键词：表面态电子和频光谱光催化光电催化

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Coverage and determinants of infant postnatal care in Nigeria:A population-based cross-sectional study

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Pediatric Investigation 2024年第1期8卷 27-36页

作者： Bolaji Emmanuel Egbewale Olusola Oyedeji jesse Bump Christopher Robert Sudfeld Department of Global Health and Population Takemi Program in International HealthHarvard T.H.Chan School of Public HealthBostonMassachusettsUSA Department of Community Medicine College of Health SciencesLadoke Akintola University of TechnologyOgbomosoNigeria Department of Pediatrics and Child Health College of Health SciencesLadoke Akintola University of TechnologyOgbomosoNigeria

Importance:In 2019,Nigeria had the largest number of under-5 child deaths globally and many of these deaths occurred within the first week of *** World Health Organization recommends infant postnatal care(PNC)attendance to support newborn survival;however,utilization of PNC is known to be low in many ***:This study examined coverage and individual-level determinants of infant PNC attendance in ***:Nigeria Demographic Health Survey(NDHS)2018 data were used to evaluate infant PNC coverage and *** PNC was defined as receipt of care within 2 days of *** delivered up to 2 years before the 2018 NDHS were *** examined predictors of infant PNC with modified Poisson regression models to estimate relative risks(RRs).Results:The national coverage of infant PNC was 37.3%(95%confidence interval[CI]:35.8%–38.7%).Significant heterogeneity in PNC attendance existed at state and regional *** delivery was strongly associated with the uptake of PNC(RR:6.07;95%CI:5.60–6.58).Greater maternal education,maternal employment,urban residence,female head of household,and greater wealth were also associated with an increased likelihood of PNC ***:The uptake of infant PNC is low and interventions are urgently needed to promote equity in access and increase demand for PNC in Nigeria.

关键词： Infant postnatal care Epidemiology Coverage Determinants Nigeria

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The use of hydrogel microspheres as cell and drug delivery carriers for bone,cartilage,and soft tissue regeneration

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Biomaterials Translational 2024年第3期5卷 236-256页

作者： Chung-Hsun Lin jesse RSrioudom Wei Sun Malcolm Xing Su Yan Le Yu Jian Yang Department of Biomedical Engineering The Pennsylvania State UniversityUniversity ParkPAUSA Department of Bioengineering University of PennsylvaniaPhiladelphiaPAUSA Leicester International Institute Dalian University of TechnologyPanjinLiaoning ProvinceChina Department of Mechanical Engineering University of ManitobaWinnipegCanada Division of Biological and Biomedical Systems University of Missouri-Kansas CityKansas CityMOUSA Biomedical Engineering Program Westlake UniversityHangzhouZhejiang ProvinceChina Research Centre for Industries of the Future Westlake UniversityHangzhouZhejiang ProvinceChina

Bone,cartilage,and soft tissue regeneration is a complex process involving many cellular activities across various cell *** remain the“gold standard”for the regeneration of these ***,the use of autografts is associated with many disadvantages,including donor scarcity,the requirement of multiple surgeries,and the risk of *** development of tissue engineering techniques opens new avenues for enhanced tissue ***,the expectations of tissue engineering scaffolds have gone beyond merely providing physical support for cell *** scaffolds should also provide biological cues to actively boost tissue *** a new type of injectable biomaterial,hydrogel microspheres have been increasingly recognised as promising therapeutic carriers for the local delivery of cells and drugs to enhance tissue *** to traditional tissue engineering scaffolds and bulk hydrogel,hydrogel microspheres possess distinct advantages,including less invasive delivery,larger surface area,higher transparency for visualisation,and greater flexibility for ***,we review the materials characteristics of hydrogel microspheres and compare their fabrication approaches,including microfluidics,batch emulsion,electrohydrodynamic spraying,lithography,and mechanical ***,based on the different requirements for bone,cartilage,nerve,skin,and muscle tissue regeneration,we summarize the applications of hydrogel microspheres as cell and drug delivery carriers for the regeneration of these ***,hydrogel microspheres are regarded as effective therapeutic delivery carriers to enhance tissue regeneration in regenerative ***,significant effort is required before hydrogel microspheres become widely accepted as commercial products for clinical use.

关键词： drug delivery fabrication techniques hydrogel microspheres microgels tissue regeneration

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