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50 kHz/200 kHz声场水中疏水颗粒的瞬态及稳态团聚规律

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声学学报 2024年第1期49卷 146-154页

作者：陈昱冉胡悦卜祥宁何季麟郑州大学材料科学与工程学院郑州450001 河南省资源环境调查三院郑州450046 中国矿业大学化工学院徐州221116

针对超声场存在的瞬态及稳态两种疏水颗粒团聚行为,分别选取50 kHz与200 kHz两个频率,通过高速摄像机对不同的声团聚现象进行观测,对比了瞬态及稳态团聚在团聚位置、速度及聚团形态、数量、强度等方面的差异,并从声辐射力和空化的角度... 详细信息

针对超声场存在的瞬态及稳态两种疏水颗粒团聚行为,分别选取50 kHz与200 kHz两个频率,通过高速摄像机对不同的声团聚现象进行观测,对比了瞬态及稳态团聚在团聚位置、速度及聚团形态、数量、强度等方面的差异,并从声辐射力和空化的角度分析了瞬态及稳态团聚不同的形成机制。研究结果表明,50 kHz声场与200 kHz声场分别引起瞬态和稳态声团聚,两种声团聚方式的行为和形成机制均存在较大差异。

关键词：声团聚疏水颗粒空化气泡声辐射力

城乡金融发展梯度差异对农村居民收入的效应研究

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南方经济 2024年第2期 79-96页

作者：陈昱燃张桥云贺瑶西南财经大学金融学院西南财经大学工商管理学院

文章针对金融发展理论中,对“城市金融发展”的外溢性金融行为重视不够的现实,基于“城市金融发展”与“农村金融发展”的双重视角,运用2003—2021年省级面板数据,探究城乡金融发展梯度差异对农村居民收入的影响。研究发现(:1)基准模型... 详细信息

文章针对金融发展理论中,对“城市金融发展”的外溢性金融行为重视不够的现实,基于“城市金融发展”与“农村金融发展”的双重视角,运用2003—2021年省级面板数据,探究城乡金融发展梯度差异对农村居民收入的影响。研究发现(:1)基准模型回归中,城市金融发展比农村金融发展更有利于提高农村居民收入。(2)门槛效应研究发现,以城市吸纳劳动力数量(Labor)作为门槛变量时存在单一门槛,当低于门槛值时,农村金融发展更有利于提高农村居民收入。当高于门槛值时,城市金融发展更有利于提高农村居民收入;以经济发展(PGDP)作为门槛变量时存在双重门槛,当低于第一门槛值时,农村金融发展更有利于提高农村居民收入。当高于第一门槛值低于第二门槛值时,城市金融发展更有利于提高农村居民收入。当高于第二门槛值时,农村金融发展更有利于提高农村居民收入。(3)空间效应分析发现,从全国层面上看,周边地区的城市金融发展有助于提高本地区农村居民收入;分区域看,在中部和西部地区,周边地区城市金融发展均有助于提高本地区农村居民收入。为此,应推动城市金融发展并且坚持农村金融发展,最终实现“共同富裕”的发展目标。

关键词：城乡金融发展城市金融发展农村金融发展农村居民收入

维普期刊数据库博看期刊

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图终身学习:综述

计算机研究与发展 2024年第8期61卷 2067-2096页

作者：刘壮董子宸董宜琳尚家名张帆陈雨然楼佩妍孙欣然王昱赵军 Wayne Lin 东北财经大学金融科技学院辽宁大连116025 大连理工大学计算机学院辽宁大连116024 南加州大学计算机学院美国加利福尼亚州洛杉矶90007

图终身学习(lifelong graph learning,LGL)是一个新兴领域,旨在实现对图结构数据的持续学习,以解决现有任务上的灾难性遗忘问题,并使得顺序更新的模型能够适应新出现的图任务.尽管LGL展现出良好的学习能力,但如何持续提高其性能仍然是... 详细信息

图终身学习(lifelong graph learning,LGL)是一个新兴领域,旨在实现对图结构数据的持续学习,以解决现有任务上的灾难性遗忘问题,并使得顺序更新的模型能够适应新出现的图任务.尽管LGL展现出良好的学习能力,但如何持续提高其性能仍然是一个至关重要的问题.为填补现有研究对这一方面的空白,对最近在LGL领域的研究进行了全面调查和总结.首先,重新分类了LGL的现有方法,重点关注克服灾难性遗忘的方法.随后,系统地分析了这些方法的优缺点,并探讨了实现持续性能提升的潜在解决方案.该研究着重于如何在持续学习的过程中避免对旧任务的遗忘,同时快速适应新任务的挑战.最后,还就LGL的未来发展方向进行了讨论,涵盖了其在应用领域、开放性问题等方面的潜在影响,并具体分析了这些方向对持续性能改进的潜在影响.这些讨论将有助于指导未来LGL研究的方向,推动这一领域的进一步发展与应用.

关键词：图终身学习(LGL) 图神经网络(GNN) 重放正则化持续学习增量学习灾难性遗忘

Atomically Dispersed Ruthenium Catalysts with Open Hollow Structure for Lithium-Oxygen Batteries

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Nano-Micro Letters 2024年第2期16卷 154-164页

作者： Xin chen Yu Zhang Chang chen Huinan Li yuran Lin Ke Yu Caiyun Nan chen chen Beijing Advanced Innovation Center for Materials Genome Engineering Institute of Solid State ChemistryUniversity of Science and Technology BeijingBeijing 100083People’s Republic of China Engineering Research Center of Advanced Rare Earth Materials Department of ChemistryTsinghua UniversityBeijing 100084People’s Republic of China Beijing Key Laboratory of Energy Conversion and Storage Materials Institution College of ChemistryBeijing Normal UniversityBeijing 100875People’s Republic of China

Lithium–oxygen battery with ultrahigh theoretical energy density is considered a highly competitive next-generation energy storage device,but its practical application is severely hindered by issues such as difficult decomposition of discharge products at ***,we have developed N-doped carbon anchored atomically dispersed Ru sites cathode catalyst with open hollow structure(h-RuNC)for Lithium–oxygen *** one hand,the abundance of atomically dispersed Ru sites can effectively catalyze the formation and decomposition of discharge products,thereby greatly enhancing the redox *** the other hand,the open hollow structure not only enhances the mass activity of atomically dispersed Ru sites but also improves the diffusion efficiency of catalytic ***,the excellent activity from atomically dispersed Ru sites and the enhanced diffusion from open hollow structure respectively improve the redox kinetics and cycling stability,ultimately achieving a high-performance lithium–oxygen battery.

关键词： Atomically dispersed Open hollow structure Discharge product Lithium Oxygen battery

Oxidative exfoliation of spent cathode carbon:A two-in-one strategy for its decontamination and high-valued application

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中国化学工程学报:英文版 2023年第7期59卷 262-269页

作者： Runze chen yuran chen Xuemin Liang Yapeng Kong Yangyang Fan Quan Liu Zhenyu Yang Feiying Tang Johnny Muya Chabu Maru Dessie Walle Liqiang Wang Henan Province Industrial Technology Research Institute of Resources and Materials School of Material Science and EngineeringZhengzhou UniversityZhengzhou 450001China College of Chemical Engineering Zhengzhou UniversityZhengzhou 450001China College of Chemical Engineering Xiangtan UniversityXiangtan 411105China Foshan Green Intelligent Manufacturing Research Institute of Xiangtan University Foshan 528010China Department of Chemistry Faculty of ScienceUniversity of LubumbashiLubumbashiBP 1825Democratic Republic of the Congo College of Science Bahir Dar UniversityBahir Dar 79Ethiopia

Spent cathode carbon(SCC)from aluminum electrolysis is a potential graphite ***,full use of the SCC remains a challenge,since it contains many hazardous substances(e.g.,fluoride salts,cyanides),encapsulated within the thick carbon layers and thus posing serious environmental *** work presents a chemical oxidative exfoliation route to achieve the recycling of SCC and the decontaminated SCC with high-valued graphene oxide(GO)-like carbon structures(SCC-GO)is applied as an excellent adsorbent for organic ***,after the oxidative exfoliation,the embedded hazardous constituents are fully exposed,facilitating their subsequent removal by aqueous ***,benefiting from the enhanced specific surface areas along with abundant O-containing functional groups,the as-produced SCC-GO,shows an adsorption capacity as high as 347 mg·g^(-1)when considering methylene blue as a pollutant model,which exceeds most of the recently reported carbon-based *** study provides a feasible solution for the efficient recycling of hazardous carbonaceous wastes.

关键词： Waste treatment Spent cathode carbon Oxidative exfoliation Purification Recovery Adsorption

Predicting Hurricane Evacuation Decisions with Interpretable Machine Learning Methods

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International Journal of Disaster Risk Science 2024年第1期15卷 134-148页

作者： yuran Sun Shih‑Kai Huang Xilei Zhao Department of Civil and Coastal Engineering University of FloridaGainesvilleFL 32611USA Department of Emergency Management and Public Administration Jacksonville State UniversityJacksonvilleAL 36265USA

Facing the escalating effects of climate change,it is critical to improve the prediction and understanding of the hurricane evacuation decisions made by households in order to enhance emergency *** studies in this area often have relied on psychology-driven linear models,which frequently exhibited limitations in *** present study proposed a novel interpretable machine learning approach to predict household-level evacuation decisions by leveraging easily accessible demographic and resource-related predictors,compared to existing models that mainly rely on psychological *** enhanced logistic regression model(that is,an interpretable machine learning approach) was developed for accurate predictions by automatically accounting for nonlinearities and interactions(that is,univariate and bivariate threshold effects).Specifically,nonlinearity and interaction detection were enabled by low-depth decision trees,which offer transparent model structure and robustness.A survey dataset collected in the aftermath of Hurricanes Katrina and Rita,two of the most intense tropical storms of the last two decades,was employed to test the new *** findings show that,when predicting the households’ evacuation decisions,the enhanced logistic regression model outperformed previous linear models in terms of both model fit and predictive *** outcome suggests that our proposed methodology could provide a new tool and framework for emergency management authorities to improve the prediction of evacuation traffic demands in a timely and accurate manner.

关键词： Artifcial Intelligence(AI) Decision-making modeling Hurricane evacuation Interpretable machine learning Nonlinearity and interaction detection

An Analysis Of The Path Of Inclusive Financial Development——Based On The Perspective Of Internet Finance

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An Analysis Of The Path Of Inclusive Financial Development—...

Real-time tracking of fast-moving object in occlusion scene

第四届人文科学、管理和教育技术国际学术会议

作者： yuran chen Deping Xiong Fan Bai Yunnan University of Finance and Economics

The development of inclusive finance is one of the main directions of China's financial system ***,its development has always been limited by China's original financial industry *** broad coverage,low cost,sustainable goals and real life practice results are still big *** characteristics of openness,equality,collaboration and sharing of internet finance provide a realistic basis for the integration and development of the two,also provide a new opportunity for the development of inclusive finance in *** the era of internet finance,the development path of inclusive finance deserves careful consideration.

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Journal of Systems Engineering and Electronics 2024年第3期35卷 741-752页

作者： LI yuran LI Yichen ZHANG Monan YU Wenbin GUAN Xinping Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China Key Laboratory of Systems Control and Information Processing Ministry of Education of ChinaShanghai 200240China

Tracking the fast-moving object in occlusion situations is an important research topic in computer vision. Despite numerous notable contributions have been made in this field,few of them simultaneously incorporate both object's extrinsic features and intrinsic motion patterns into their methodologies,thereby restricting the potential for tracking accuracy improvement. In this paper, on the basis of efficient convolution operators(ECO) model, a speed-accuracy-balanced model is put forward. This model uses the simple correlation filter to track the object in real-time, and adopts the sophisticated deep-learning neural network to extract high-level features to train a more complex filter correcting the tracking mistakes, when the tracking state is judged to be poor. Furthermore, in the context of scenarios involving regular fast-moving, a motion model based on Kalman filter is designed which greatly promotes the tracking stability, because this motion model could predict the object's future location from its previous movement pattern. Additionally,instead of periodically updating our tracking model and training samples, a constrained condition for updating is proposed,which effectively mitigates contamination to the tracker from the background and undesirable samples avoiding model degradation when occlusion happens. From comprehensive experiments, our tracking model obtains better performance than ECO on object tracking benchmark 2015(OTB100), and improves the area under curve(AUC) by about 8% and 32% compared with ECO, in the scenarios of fast-moving and occlusion on our own collected dataset.

关键词： speed-accuracy balanced motion modeling constrained updater

β-环糊精/煤油皮克林乳液改善隐晶质石墨浮选效果的机理

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煤炭学报 2023年第S01期48卷 288-295页

作者：卜祥宁高继轩倪超陈昱冉中国矿业大学煤炭加工与高效洁净利用教育部重点实验室江苏徐州221116 中国矿业大学化工学院江苏徐州221116 郑州大学材料科学与工程学院河南郑州450001

表面活性剂是油类捕收剂乳化常用的乳化药剂。然而,表面活性剂在乳化过程中表现出较高的起泡能力,不利于乳化捕收剂的使用。为此,提出将β-环糊精作为乳化剂乳化煤油制备皮克林乳液用于改善隐晶质石墨浮选效果的设想,并通过浮选试验和... 详细信息

表面活性剂是油类捕收剂乳化常用的乳化药剂。然而,表面活性剂在乳化过程中表现出较高的起泡能力,不利于乳化捕收剂的使用。为此,提出将β-环糊精作为乳化剂乳化煤油制备皮克林乳液用于改善隐晶质石墨浮选效果的设想,并通过浮选试验和计算富集效率(α)与常规煤油的浮选效果进行对比,从Zeta电位分布、油滴粒度、接触角等角度探讨了β-环糊精颗粒/煤油皮克林乳液改善隐晶质石墨矿浮选效果的机理。结果表明,适量β-环糊精制备的煤油皮克林乳液可提高隐晶质石墨浮选富集效率、提升浮选效果,主要原因是制备的皮克林乳液中煤油油滴尺寸显著降低,促进煤油在石墨颗粒表面的铺展,提高疏水性。但过量β-环糊精制备的煤油皮克林乳液反而降低隐晶质石墨富集效率,恶化浮选效果。

关键词： β-环糊精皮克林乳液煤油乳化隐晶质石墨浮选富集效率