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THE VELOCITY FIELD OF MULTIPHASE FLOW AND EFFICIENCY OF BIOLOGICAL AERATION FILTER

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Journal of Hydrodynamics 2010年第2期22卷 260-264页

作者： CHENG Wen hu bao-wei YANG Chun-di CHENG Wen-juan Environment Research Institute Xian University of Technology Xi＇an 710048 China State Key Laboratory of Multiphase Flow in Power Engineering Xi＇ an Jiaotong University Xi＇an 710049 China Key Laboratory of Northwest Water Resources and Environmental Ecology of Education Ministry Xi＇anUniversity of Technology Xi＇an 710048 China Yuanpei College Shaoxing University Shaoxing 312000 China Environment Research Institute Xi＇an University of Technology Xi＇an 710048 China

Aeration is an important factor affecting the biological aeration *** a set of experiment device specially designed for the purpose,and the particle image velocimetry technique,the velocity field of the gas-liquid two-phase flow is studied under different *** various simulated aeration states were actually applied to the experimental device of sewage treatment,and the results of the numerical simulation were *** final experimental results indicate that the most efficient state occurs when the ratio of water in aeration tank h / w =1,the diameter of capillary tubes d=0.6mm and the velocity of bubbles v=0.3m/s.

关键词： ratio of water diameter of capillary tube bubbles velocity sewage disposal efficiency

Boosting Oxygen Evolution Reaction Performance on NiFe‑Based Catalysts Through d‑Orbital Hybridization

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Nano-Micro Letters 2025年第1期17卷 281-292页

作者： Xing Wang wei Pi Sheng hu Haifeng bao Na Yao wei Luo State Key Laboratory of New Textile Materials and Advanced Processing Technology Key Laboratory of New Textile Materials and Applications of Hubei ProvinceSchool of Materials Science and EngineeringWuhan Textile UniversityWuhan 430200People’s Republic of China College of Chemistry and Molecular Sciences Wuhan UniversityWuhan 430072People’s Republic of China

Anion-exchange membrane water electrolyzers(AEMWEs)for green hydrogen production have received intensive attention due to their feasibility of using earth-abundant NiFe-based *** introducing a third metal into NiFe-based catalysts to construct asymmetrical M-NiFe units,the d-orbital and electronic structures can be adjusted,which is an important strategy to achieve sufficient oxygen evolution reaction(OER)performance in ***,the ternary NiFeM(M:La,Mo)catalysts featured with distinct M-NiFe units and varying d-orbitals are reported in this *** and theoretical calculation results reveal that the doping of La leads to optimized hybridization between d orbital in NiFeM and 2p in oxygen,resulting in enhanced adsorption strength of oxygen intermediates,and reduced rate-determining step energy barrier,which is responsible for the enhanced OER *** critically,the obtained NiFeLa catalyst only requires 1.58 V to reach 1 A cm^(−2) in an anion exchange membrane electrolyzer and demonstrates excellent long-term stability of up to 600 h.

关键词： NiFe-based catalysts d-orbital coupling Oxygen evolution reaction Anion exchange membrane electrolyzer

Advances in enhancing hydrodeoxygenation selectivity of lignin-derived oxygenates:From synthetic strategies to fundamental techniques

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Green Energy & Environment 2025年第2期10卷 292-321页

作者： Xinru Wu Hongwei Zhang Cejun hu Xiaojun bao Pei Yuan National Engineering Research Center of Chemical Fertilizer Catalyst College of Chemical EngineeringFuzhou UniversityFuzhou350002China College of Materials Science and Engineering Fuzhou UniversityFuzhou350108China Qingyuan Innovation Laboratory Quanzhou362801China

In recent years,studies focusing on the conversion of renewable lignin-derived oxygenates(LDOs)have emphasized their potential as alternatives to fossil-based ***,LDOs,existing as complex aromatic mixtures with diverse oxygen-containing functional groups,pose a challenge as they cannot be easily separated via distillation for direct utilization.A promising solution to this challenge lies in the efficient removal of oxygen-containing functional groups from LDOs through hydrodeoxygenation(HDO),aiming to yield biomass products with singular ***,the high dissociation energy of the carbon-oxygen bond,coupled with its similarity to the hydrogenation energy of the benzene ring,creates a competition between deoxygenation and benzene ring *** hydrogen consumption and lignin properties,the preference is directed towards generating aromatic hydrocarbons rather than saturated ***,the goal is to selectively remove oxygen-containing functional groups while preserving the benzene ring *** on LDOs conversion have indicated that the design of active components and optimization of reaction conditions play pivotal roles in achieving selective deoxygenation,but a summary of the correlation between these factors and the reaction mechanism is *** review addresses this gap in knowledge by firstly summarizing the various reaction pathways for HDO of *** explores the impact of catalyst design strategies,including morphology modulation,elemental doping,and surface modification,on the adsorption-desorption dynamics between reactants and ***,we delve into the application of advanced techniques such as spectroscopic techniques and computational modeling,aiding in uncovering the true active sites in HDO reactions and understanding the interaction of reactive reactants with catalyst ***,fundamental insights into selective deoxygenation obtained through these techniqu

关键词： Hydrodeoxygenation Lignin-derived oxygenates Targeted deoxidation Catalyst design Techniques and theoretical calculation

Biisoindolylidene solvatochromic fluorophores: Synthesis and photophysical properties

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Chinese Chemical Letters 2025年第2期36卷 394-399页

作者： Xiaoyu Chen Jiahao hu Jingyi Lin Haiyang huang Changqing Ye Hongli bao College of Chemistry Fuzhou University State Key Laboratory of Structural Chemistry Key Laboratory of Coal to Ethylene Glycol and Its Related TechnologyCenter for Excellence in Molecular SynthesisFujian Science&Technology Innovation Laboratory for Optoelectronic Information of China Fujian College University of Chinese Academy of SciencesFuzhou 350002China dUniversity of Chinese Academy of Sciences

Environment-sensitive fluorescent probes are commonly utilized in various fields, including fluorescence sensing and imaging. This paper describes the synthesis and photophysical properties of a novel class of solvatochromic fluorophores that incorporate biisoindolylidene as the core backbone. This study investigates the structure-property relationships of these newly developed fluorophores. The central biisoindolylidene acts as an efficient electron acceptor, and by modifying the aryl ring substituent at the 3,3 position, the photophysical properties of the fluorophores can be significantly enhanced, particularly in terms of photoluminescence quantum efficiency. Furthermore, when an electron-donor group replaces the aryl ring at the 3,3 position, intriguing solvatochromic behavior is observed. This leads to a red-shift in the maximum emission wavelength and an increase in the Stokes shift with increasing solvent polarity. In solvent dimethyl sulfoxide(DMSO), the maximum emission wavelength can reach up to 750 nm,with a Stokes shift of approximately 150 nm. Finally, the potential application of the fluorophore in the detection of volatile acids is explored in a preliminary manner.

关键词： Acid sensitive Biisoindolylidene Electron receptor New fluorophores Solvatochromic

A functional cathode sodium compensation agent for stable sodium-ion batteries

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Green Energy & Environment 2025年第1期10卷 173-182页

作者： wei Wu Zhenglin hu Zhengfei Zhao Aoxuan Wang Jiayan Luo Key Laboratory for Green Chemical Technology of Ministry of Education School of Chemical Engineering and TechnologyTianjin UniversityTianjin300072China State Key Laboratory of Metal Matrix Composites School of Materials Science and EngineeringShanghai Jiao Tong UniversityShanghai200240China Shanghai Jiao Tong University Shaoxing Research Institute of Renewable Energy and Molecular Engineering Shaoxing312000China

Hard carbon(HC)is widely used in sodium-ion batteries(SIBs),but its performance has always been limited by lowinitial Coulombic efficiency(ICE)and cycling *** compensation agent is a favorable strategy to make up for the loss of active sodium ions consumed *** it lacks agent that effectively decomposes to increase the active sodium ions as well as regulate carbon defects for decreasing the irreversible sodium ions ***,we propose 1,2-dihydroxybenzene Na salt(NaDB)as a cathode compensation agent with high specific capacity(347.9 mAh g^(-1)),lower desodiation potential(2.4–2.8 V)and high utilization(99%).Meanwhile,its byproduct could functionalize HC with more C=O groups and promote its reversible ***,the presodiation hard carbon(pHC)anode exhibits highly reversible capacity of 204.7 mAh g^(-1) with 98%retention at 5 C rate over 1000 ***,with 5 wt%NaDB initially coated on the Na3V2(PO4)3(NVP)cathode,the capacity retention of NVP + NaDB|HC cell could increase from 22%to 89%after 1000 cycles at 1 C *** work provides a new avenue to improve reversible capacity and cycling performance of SIBs through designing functional cathode compensation agent.

关键词： Hard carbon ICE Cathode compensation agent Reversible capacity Stability

Domain generalization with semi-supervised learning for people-centric activity recognition

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Science China(Information Sciences) 2025年第1期68卷 171-188页

作者： Jing LIU wei Zhu Di LI Xing hu Liang SONG Academy for Engineering & Technology Fudan University Shanghai East-bund Research Institute on Networking Systems of AI School of Optoelectronic Information and Computer Engineering University of Shanghai for Science & Technology

People-centric activity recognition is one of the most critical technologies in a wide range of real-world applications,including intelligent transportation systems, healthcare services, and brain-computer interfaces. Large-scale data collection and annotation make the application of machine learning algorithms prohibitively expensive when adapting to new tasks. One way of circumventing this limitation is to train the model in a semi-supervised learning manner that utilizes a percentage of unlabeled data to reduce the labeling burden in prediction tasks. Despite their appeal, these models often assume that labeled and unlabeled data come from similar distributions, which leads to the domain shift problem caused by the presence of distribution gaps. To address these limitations, we propose herein a novel method for people-centric activity recognition,called domain generalization with semi-supervised learning(DGSSL), that effectively enhances the representation learning and domain alignment capabilities of a model. We first design a new autoregressive discriminator for adversarial training between unlabeled and labeled source domains, extracting domain-specific features to reduce the distribution gaps. Second, we introduce two reconstruction tasks to capture the task-specific features to avoid losing information related to representation learning while maintaining task-specific consistency. Finally, benefiting from the collaborative optimization of these two tasks, the model can accurately predict both the domain and category labels of the source domains for the classification task. We conduct extensive experiments on three real-world sensing datasets. The experimental results show that DGSSL surpasses the three state-of-the-art methods with better performance and generalization.

关键词： activity recognition deep learning domain generalization semi-supervised learning adversarial training

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曝气生物滤池降解规律试验研究

水利学报 2010年第3期40卷 374-378页

作者：胡保卫程文韩祯马腾西安理工大学教育部与陕西省共建西北水资源与生态环境重点实验室陕西西安710048 绍兴文理学院浙江绍兴312000 西安交通大学动力工程多相流国家重点实验室陕西西安710049

采用实际分散型生活污水作为试验原水,对曝气生物滤池的降解规律进行了试验研究。结果表明,与传统的观点不同,曝气生物滤池在处理低浓度有机废水时并不发生严格的有机物与氨氮的分段去除现象,有机废水氨氮与有机质基本在同一区域内去除... 详细信息

采用实际分散型生活污水作为试验原水,对曝气生物滤池的降解规律进行了试验研究。结果表明,与传统的观点不同,曝气生物滤池在处理低浓度有机废水时并不发生严格的有机物与氨氮的分段去除现象,有机废水氨氮与有机质基本在同一区域内去除,滤料在10～40cm段的去除率增长速度最快,在70cm之后去除率的增长开始逐渐变缓。在进口段,由于有机质浓度高,供氧充足,有机质的去除率较高;由于异养菌和氨化菌的作用,氨氮浓度在进口段不但不减少,反有微小升高。

关键词：曝气生物滤池推流式反应器滤料高度有机质及氨氮去除

运行风电场内局地湍流变化分析方法及其影响探讨

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太阳能学报 2017年第9期38卷 2589-2596页

作者：崔冬林刘晓亚胡威鲍婧新疆金风科技股份有限公司乌鲁木齐830001 江苏省气象局南京210009

利用风电机组运行风数据结合常规测风塔和激光雷达观测风数据,对机组运行风数据进行相关性分析和检验,建立机组机舱湍流强度的计算方法和适用范围。研究表明,基于机舱风数据计算的湍流强度大小虽不能代表机组实际湍流的绝对值大小,但对... 详细信息

利用风电机组运行风数据结合常规测风塔和激光雷达观测风数据,对机组运行风数据进行相关性分析和检验,建立机组机舱湍流强度的计算方法和适用范围。研究表明,基于机舱风数据计算的湍流强度大小虽不能代表机组实际湍流的绝对值大小,但对于简单平坦地形,不同机组机舱湍流强度的相对变化,可作为评估风电场微观选址设计机组尾流影响程度的参考标准之一;对于复杂地形,不同机组机舱湍流强度的差异能很好表征不同地形下环境湍流的差异及对机组实际运行功率的影响。

关键词：风数据机舱湍流强度尾流环境湍流机组实际运行功率

Recent progress on artificial intelligence-enhanced multimodal sensors integrated devices and systems

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Journal of Semiconductors 2025年第1期46卷 179-192页

作者： Haihua Wang Mingjian Zhou Xiaolong Jia hualong wei Zhenjie hu wei Li Qiumeng Chen Lei Wang College of Integrated Circuit Science and Engineering Nanjing University of Posts and TelecommunicationsNanjing 210023China Nantong Institute of Nanjing University of Posts and Telecommunications Nantong 226021China

Multimodal sensor fusion can make full use of the advantages of various sensors,make up for the shortcomings of a single sensor,achieve information verification or information security through information redundancy,and improve the reliability and safety of the *** intelligence(AI),referring to the simulation of human intelligence in machines that are programmed to think and learn like humans,represents a pivotal frontier in modern scientific *** the continuous development and promotion of AI technology in Sensor 4.0 age,multimodal sensor fusion is becoming more and more intelligent and automated,and is expected to go further in the *** this context,this review article takes a comprehensive look at the recent progress on AI-enhanced multimodal sensors and their integrated devices and *** on the concept and principle of sensor technologies and AI algorithms,the theoretical underpinnings,technological breakthroughs,and pragmatic applications of AI-enhanced multimodal sensors in various fields such as robotics,healthcare,and environmental monitoring are *** a comparative study of the dual/tri-modal sensors with and without using AI technologies(especially machine learning and deep learning),AI-enhanced multimodal sensors highlight the potential of AI to improve sensor performance,data processing,and decision-making ***,the review analyzes the challenges and opportunities afforded by AI-enhanced multimodal sensors,and offers a prospective outlook on the forthcoming advancements.

关键词： sensor multimodal sensors machine learning deep learning intelligent system