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MoO_(x) nanoclusters on Mo-doped TiO_(2) nanosheets with enhanced singlet oxygen generation and sulfide conversion abilities for photocatalytic aerobic oxidative desulfurization

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Science China Chemistry 2024年第1期67卷 408-414页

作者： Suting Xie Xinyu zhao Dongxiao Wang huawei Yang Lixia Yang Liangjiu Bai Donglei Wei Wenxiang Wang Ying Liang Hou Chen Shaojun Guo College of Chemistry and Materials Science Ludong UniversityYantai 264025China College of Materials Science and Engineering Peking UniversityBeijing 100871China

Photocatalytic aerobic oxidation desulfurization(PAODS)is a promising and sustainable alternative to conventional,energyintensive desulfurization techniques for petroleum products.However,its development is greatly plagued by the low capability in generating highly reactive oxygen species and sluggish kinetics of sulfide oxidation of reported photocatalysts.Here we report a class of MoO_(x)nanocluster decorated on ultrathin Mo-doped TiO_(2)nanosheet(MoO_(x)/MoTiO)catalyst for efficiently facilitating the photocatalytic aerobic oxidation of sulfides.We demonstrate that MoO_(x)/MoTiO can not only promote the generation of highly reactive singlet oxygen(^(1)O_(2))but also enhance the aerobic conversion of sulfides,which leads to a record dibenzothiophene oxidation activity of 3.90 mmol g^(-1)h^(-1).The multiple experimental characterizations and density functional theory calculations collectively reveal that the doped-Mo sites can interact with the photogenerated excitons,enabling directly energy transfer generation of^(1)O_(2)through a new exciton modulation mechanism,and the coordination unsaturated MoO_(x)clusters play the role of co-catalyst to enhance the separation of charge carriers,and effectively catalyze the reaction between sulfides and1O_(2)to form sulfones.

关键词： titanium dioxide photocatalytic aerobic oxidation desulfurization dibenzothiophene singlet oxygen

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The Impact of Green Finance on the Ecologicalization of Urban Industrial Structure-Based on GMM of Dynamic Panel System

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Journal of Artificial Intelligence and Technology 2022年第3期2卷 123-129页

作者： Kai Lin huawei zhao School of Finance and Faculty of Economics and Management Qilu University of Technology(Shandong Academy of Sciences)ShandongChina Shandong Chanyan Fintech Institute Co.LTD Jinan 250100China

Although a number of studies have been published in the general area on various factors affecting the ecologicalization of urban industrial structure,little work has been carried out for empirical studies quantitatively analyzing the relevance between green finance development and the ecologicalization of urban industrial structure.Therefore,based on a comprehensive index of green finance development,this research employs panel data of target cities1 for the period 2012–2020 to explore the influence of green finance on the ecologicalization of urban industrial structure.The empirical results show that green finance development significantly improves the ecologicalization level of urban industrial structure.In addition,it is found that green finance plays a stronger role in promoting the ecologicalization of industrial structure in economically developed regions than in economically underdeveloped regions2.The research results can provide a valuable policy reference for urban green financial market planning and green product innovation.

关键词： data processing green finance GMM industrial structure ecologicalization machine learning

Reshaping the active pocket of an aldo-keto reductase to enhance its detoxification activity towards 3-keto-deoxynivalenol

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Food Science and Human Wellness 2024年

作者： Jiafeng Niu Bin Ma Hao Zhu huawei Liu Haizhen zhao Xiaomei Bie Fengxia Lu Ping Zhu College of Food Science and Technology Nanjing Agricultural University State Key Laboratory of Desert and Oasis Ecology Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences

Deoxynivalenol （DON）， the most common mycotoxin in the world， poses serious health hazards to both humans and animals and causes significant economic losses to the food and feed industry. An intriguing method for DON detoxification involves enzymatic cascade catalysis by dehydrogenase （DADH） and aldo-keto reductase （AKR13B3）. However， the poor catalytic activity of AKR13B3 has limited its usefulness. Here， structure-guided steric hindrance engineering， computer-assisted protein engineering， and combinatorial mutagenesis were carried out to increase the catalytic efficiency of AKR13B3. The best mutant in this project was M28S/S65V， which outperformed wild-type AKR13B3 in terms of catalytic efficiency (kcat/Km) and specific activity by factors of 45.08 and 43.11， respectively. Kinetic parameter determination revealed that the enhanced catalytic efficiency of M28S/S65V toward 3-keto-DON was attributed to the decreased Kmand increased kcatvalues. Moreover， the engineered enzyme was applied to degrade DON in contaminated corn steep liquor， for a 90.62% removal rate. Structure-based computational analysis provided insights into the enhanced catalytic efficiency of M28S/S65V， which was attributed to the enlarged substrate-binding pocket and reshaped pocket with a favorable hydrophilic attack distance. The results provide a reference for improving the catalytic activity of an enzyme toward non-native bulky substrates and pave the way for the development of enzymes as detoxification agents to mitigate DON in the food and feed industry.

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Unidirectional movement behavior of underwater bubbles on the wettability gradient mesh via asymmetrical bounce

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Science China Chemistry 2024年第8期 2606-2613页

作者： Yuzhen Ning Zhihong zhao Shuang Ben Qiang Li Cunming Yu Xudong Zhang huawei Chen Kesong Liu Lei Jiang School of Mechanical Engineering and Automation Beihang University Key Laboratory of Bio-Inspired Smart Interfacial Science and Technology School of Chemistry Beihang University Research Institute of Aero-Engine Beihang University School of Materials Science and Engineering Shenyang Ligong University Tianmushan Laboratory The Analysis & Testing Center Beihang University

The impact of underwater bubbles on solid surfaces with a gradient wettability is important for fundamental science and technological applications. Despite progress in the translational motion of underwater bubbles on asymmetric surface, a fundamental dynamic understanding of asymmetrical bounce behavior of the underwater bubble needs to be further improved.Herein, we investigate asymmetrical bounce of underwater bubbles after impacting the wettability gradient copper mesh surface.Asymmetrical bounce of the underwater bubble on the wettability gradient mesh(WGM) surface is composed by asymmetrical spread in the spread process and asymmetrical recoil in the recoil process, which induce the unidirectional movement behavior.Additionally, effective bubble-size manipulation can be easily implemented due to different volumes of bubbles remaining at different locations of WGM surface. We envision that this work will provide a new understanding of asymmetrical bounce behavior of the underwater bubble on the wettability gradient surface, and propose a novel and feasible strategy for constructing the underwater bubble manipulation system.

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Frontiers of Computer Science 2020年第3期14卷 113-128页

作者： Yun PENG Yitong XU huawei zhao Zhizheng ZHOU Huimin HAN Research Center of Big Data Application Qilu University of TechnologyJinan 250353China Data Science Institute Columbia UniversityNew York 10027USA College of Mechanics and Materials Hohai UniversityNanjing 210098China

This paper studies the most similar maximal clique query(MSMCQ).Given a graph G and a set of nodes Q,MSMCQ is to find the maximal clique of G having the largest similarity with Q.MSMCQ has many real applications including advertising industry,public security,task crowdsourcing and social network,etc.MSMCQ can be studied as a special case of the general set similarity query(SSQ).However,the MCs of G has several specialties from the general sets.Based on the specialties of MCs,we propose a novel index,namely MCIndex.MCIndex outperforms the state-of-the-art SSQ method significantly in terms of the number of candidates and the query time.Specifically,we first construct an inverted indexⅠfor all the MCs of G.Since the MCs in a posting list often have a lot of overlaps,MCIndex selects some pivots to cluster the MCs with a small radius.Given a query Q,we compute the distance from the pivots to Q.The clusters of the pivots assured not answer can be pruned by our distance based pruning rule.Since it is NP-hard to construct a minimum MCIndex,we propose to construct a minimal MCIndex onⅠ(v)with an approximation ratio 1+ln|Ⅰ(v)|.Since the MCs have properties that are inherent of graph structure,we further propose a S Index within each cluster of a MCIndex and a structure based pruning rule.S Index can significantly reduce the number of candidates.Since the sizes of intersections between Q and many MCs need to be computed during the query evaluation,we also propose a binary representation of MCs to improve the efficiency of the intersection size computation.Our extensive experiments confirm the effectiveness and efficiency of our proposed techniques on several real-world datasets.

关键词： most similar maximal clique similarity query graph data

Adaptive Consensus of Uncertain Multi-Agent Systems With Unified Prescribed Performance

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IEEE/CAA Journal of Automatica Sinica 2024年第5期11卷 1310-1312页

作者： Kun Li Kai zhao Yongduan Song The authors are with the School of Automation Chongqing UniversityChongqing 400044China

Dear Editor,An adaptive consensus control algorithm for uncertain multi-agent systems(MAS),capable of guaranteeing unified prescribed performance,is presented in this letter.Unlike many existing prescribed performance related works,the developed control exhibits some features.Firstly,a distributed prescribed time observer is introduced so that not only each follower is able to estimate the leader’s signal within a predetermined time,but also the control design for each agent is independent with its neighbors.

关键词： agent prescribed Uncertain

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Efficient key management scheme for health blockchain

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CAAI Transactions on Intelligence Technology 2018年第2期3卷 114-118页

作者： huawei zhao Peidong Bai Yun Peng Ruzhi Xu College of Finance Qilu University of Technology (Shandong Academy of Sciences) 58th Sangyuan Lu Road Jinan People's Republic of China

Healthcare is a big application scenario of blockchain, and blockchains used in healthcare are called health blockchain. In general, blockchain blocks are open and the transactions in them are public. If some privacy data are involved in these transactions, they will be leaked. Owing to healthcare system involving a great deal of privacy data, certain security mechanisms must be built to protect these privacy data in health blockchain. Furthermore, because the core of security mechanisms is the key management schemes, the appropriate key management schemes should be designed before blockchains can be used in healthcare system. Here, according to the features of health blockchain, the authors use a body sensor network to design a lightweight backup and efficient recovery scheme for keys of health blockchain. The authors’ analyses show that the scheme has high security and performance, and it can be used to protect privacy messages on health blockchain effectively and to promote the application of health blockchain.

关键词：医疗保健传感器网络设计人工智能

An Innovative Mechanism of Blockchain Technology on Joint Governance Model

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Journal of Artificial Intelligence and Technology 2021年第2期1卷 84-91页

作者： huawei zhao Ruzhi Xu College of Finance Qilu University of Technology(Shandong Academy of Sciences)JinanShandong 250353China

Joint prevention and control is a social organization model dealing with the governance of public health and security incidents.The governance models should have the features of multiple subjects co-governing and distributed cooperating.Their purposes are to solve and improve the governance efficiency of dealing with public health and security incidents at the executive level.However,there are still many deficiencies in the current data governance and collaborative governance of joint prevention and control systems,which are mainly reflected in incomplete data collection,unimpeded data sharing,inflexible collaborative cooperation,and inadequate collaborative supervision.Therefore,a new innovative governance model is urgently needed.Blockchain technology is suitable for implementing multiparty data sharing and cooperation,and at the same time,it supports penetrating supervision and management.This paper studies the blockchain model for joint governance of public health and security incidents.It focuses on the multiagent collaborative prevention and control governance model,which provides a new opportunity for model innovation in data governance and in cooperative governance.

关键词： blockchain joint prevention and control data governance collaborative governance

支板型线对压气机中介机匣性能影响的试验研究

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哈尔滨工程大学学报 2024年第6期45卷 1033-1040页

作者：赵龙辉徐宁汪作心陆华伟大连海事大学船舶与海洋工程学院辽宁大连116026 中国船舶集团有限公司第七〇三研究所黑龙江哈尔滨150078 船舶与海洋工程动力系统国家工程实验室—海洋工程燃气轮机实验室黑龙江哈尔滨150078

为了明确支板对中介机匣气动性能的影响,本文针对某一舰船燃气轮机压气机中介机匣的2种不同支板开展了对比试验研究。试验结果显示:在0.2、0.3和0.4Ma工况下,改型支板较原型支板中介机匣的出口总压损失系数分别降低37%、79%和77%,原型... 详细信息

为了明确支板对中介机匣气动性能的影响,本文针对某一舰船燃气轮机压气机中介机匣的2种不同支板开展了对比试验研究。试验结果显示:在0.2、0.3和0.4Ma工况下,改型支板较原型支板中介机匣的出口总压损失系数分别降低37%、79%和77%,原型支板尾迹损失远大于改型支板,但主流区域油流和气动测量结果相似。这说明主流区域轴向压力变化不受支板型线影响,但相较于原型支板,改型支板能够有效降低中介机匣的气动损失。

关键词：支板中介机匣角区分离气动性能总压损失压气机气动试验油流燃气轮机型线

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