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magnesium-containing pellet regulating blast furnace ferrous burden interaction:softening-melting behavior and mechanism

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Journal of Iron and Steel Research International 2024年第7期31卷 1623-1635页

作者： Li-ming ma Jian-liang Zhang Yao-zu Wang Xiao-yong ma Gui-lin Wang Zhuo Li Hui-qing Jiang Zheng-jian Liu School of Metallurgical and Ecological Engineering University of Science and Technology BeijingBeijing 100083China School of Intelligence Science and Technology University of Science and Technology BeijingBeijing 100083China Lingyuan Iron and Steel Group Co. Lingyuan 122500LiaoningChina

MgO participates in all stages of sintering,pelletizing,and blast furnace ironmaking,and synergistically optimizing the distribution of MgO in ferrous burden can effectively enhance the interaction within the ferrous burdens and optimize the softening-melting properties of the mixed ***-containing pellets mixed with low-MgO sinter or mixed with high-MgO sinter in the blast furnace ferrous burden structure have opposite softening-melting performance *** the structure of the ferrous burden is magnesium-containing pellets mixed with low-MgO sinter,the magnesium-containing pellets can enhance the interaction of the ferrous burden in the process of softening-melting,which can optimize the composition of the slag phase and improve the slag *** the structure of the ferrous burden is magnesium-containing pellets mixed with high-MgO sinter,the magnesium-containing pellets weaken the interaction of the ferrous burden in the process of softening-melting,increase the content of the high melting point solid-phase particles in the slag,lead to an increase in the viscosity of the slag and difficult separation of the slag and iron,and decrease the permeability of the charge ***,to ensure good permeability of the mixed burden,the following measures are suggested:optimizing the MgO distribution of the ferrous burden,reducing the MgO content of the sinter to 1.96 wt.%,increasing the MgO content of the pellets to 1.03-1.30 wt.%,controlling the MgO/Al_(2)O_(3) ratio of the mixed burden within 1.15-1.32,narrowing the position of the cohesive zone,and maintaining an S value(permeability index)of approximately 150 kPa℃.

关键词： Ironmaking Ferrous burden Softening-melting property Interaction Permeability Slag

Multi-scale persistent spatiotemporal transformer for long-term urban traffic flow prediction

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Journal of Electronic Science and Technology 2024年第1期22卷 53-69页

作者： Jia-Jun Zhong yong ma Xin-Zheng Niu Philippe Fournier-Viger Bing Wang Zu-kuan Wei School of Computer Science and Engineering University of Electronic Science and Technology of ChinaChengdu611731China College of Computer Science&Software Engineering Shenzhen UniversityShenzhen518060China School of Computer Science Southwest Petroleum UniversityChengdu610500China

Long-term urban traffic flow prediction is an important task in the field of intelligent transportation,as it can help optimize traffic management and improve travel *** improve prediction accuracy,a crucial issue is how to model spatiotemporal dependency in urban traffic *** recent years,many studies have adopted spatiotemporal neural networks to extract key information from traffic ***,most models ignore the semantic spatial similarity between long-distance areas when mining spatial *** also ignore the impact of predicted time steps on the next unpredicted time step for making long-term ***,these models lack a comprehensive data embedding process to represent complex spatiotemporal *** paper proposes a multi-scale persistent spatiotemporal transformer(MSPSTT)model to perform accurate long-term traffic flow prediction in *** adopts an encoder-decoder structure and incorporates temporal,periodic,and spatial features to fully embed urban traffic data to address these *** model consists of a spatiotemporal encoder and a spatiotemporal decoder,which rely on temporal,geospatial,and semantic space multi-head attention modules to dynamically extract temporal,geospatial,and semantic *** spatiotemporal decoder combines the context information provided by the encoder,integrates the predicted time step information,and is iteratively updated to learn the correlation between different time steps in the broader time range to improve the model’s accuracy for long-term *** on four public transportation datasets demonstrate that MSPSTT outperforms the existing models by up to 9.5%on three common metrics.

关键词： Graph neural network Multi-head attention mechanism Spatio-temporal dependency Traffic flow prediction

A Deep Deterministic Policy Gradient-Based Method for Enforcing Service Fault-Tolerance in MEC

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Chinese Journal of Electronics 2024年第4期33卷 899-909页

作者： Tingyan LONG Peng CHEN Yunni XIA yong ma Xiaoning SUN Jiale ZHAO Yifei LYU College of Computer Science Chongqing University School of Computer and Software Engineering Xihua University School of Computer and Information Engineering Jiangxi Normal University School of Computer and Information Science Chongqing Normal University

Mobile edge computing(MEC) provides edge services to users in a distributed and on-demand *** to the heterogeneity of edge applications, deploying latency and resource-intensive applications on resourceconstrained devices is a key challenge for service providers. This is especially true when underlying edge infrastructures are fault and error-prone. In this paper, we propose a fault tolerance approach named DFGP, for enforcing mobile service fault-tolerance in MEC. It synthesizes a generative optimization network(GON) model for predicting resource failure and a deep deterministic policy gradient(DDPG) model for yielding preemptive migration *** show through extensive simulation experiments that DFGP is more effective in fault detection and guaranteeing quality of service, in terms of fault detection accuracy, migration efficiency, task migration time, task scheduling time,and energy consumption than other existing methods.

关键词： Fault tolerance Multi-access edge computing Processor scheduling Fault detection Image edge detection Fault tolerant systems Quality of service

A Fault-Tolerant Mobility-Aware Caching Method in Edge Computing

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Computer Modeling in Engineering & Sciences 2024年第7期140卷 907-927页

作者： yong ma Han Zhao Kunyin Guo Yunni Xia Xu Wang Xianhua Niu Dongge Zhu Yumin Dong School of Computer Information Engineering Jiangxi Normal UniversityNanchang330000China School of Digital Industry Jiangxi Normal UniversityShangrao334000China The College of Computer Science Chongqing UniversityChongqing400044China College of Mechanical and Vehicle Engineering Chongqing UniversityChongqing400030China School of Computer and Software Engineering Xihua UniversityChengdu610039China Electric Power Research Institute of State Grid Ningxia Electric Power Company Ltd. Yinchuan750002China College of Computer and Information Science Chongqing Normal UniversityChongqing401331China

Mobile Edge Computing(MEC)is a technology designed for the on-demand provisioning of computing and storage services,strategically positioned close to *** the MEC environment,frequently accessed content can be deployed and cached on edge servers to optimize the efficiency of content delivery,ultimately enhancing the quality of the user ***,due to the typical placement of edge devices and nodes at the network’s periphery,these components may face various potential fault tolerance challenges,including network instability,device failures,and resource *** the dynamic nature ofMEC,making high-quality content caching decisions for real-time mobile applications,especially those sensitive to latency,by effectively utilizing mobility information,continues to be a significant *** response to this challenge,this paper introduces FT-maACC,a mobility-aware caching solution grounded in multi-agent deep reinforcement learning and equipped with fault tolerance *** approach comprehensively integrates content adaptivity algorithms to evaluate the priority of highly user-adaptive cached ***,it relies on collaborative caching strategies based onmulti-agent deep reinforcement learningmodels and establishes a fault-tolerancemodel to ensure the system’s reliability,availability,and *** results unequivocally demonstrate that FTmaACC outperforms its peer methods in cache hit rates and transmission latency.

关键词： Mobile edge networks mobility fault tolerance cooperative caching multi-agent deep reinforcement learning content prediction

Proactive Caching at the Wireless Edge:A Novel Predictive User Popularity-Aware Approach

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Computer Modeling in Engineering & Sciences 2024年第8期140卷 1997-2017页

作者： Yunye Wan Peng Chen Yunni Xia yong ma Dongge Zhu Xu Wang Hui Liu Weiling Li Xianhua Niu Lei Xu Yumin Dong College of Computer Science Chongqing UniversityChongqing400044China School of Computer and Software Engineering Xihua UniversityChengdu610039China School of Computer and Information Engineering Jiangxi Normal UniversityNanchang330022China Electric Power Research Institute of State Grid Ningxia Electric Power Co. Ltd.Yinchuan750002China College of Mechanical and Vehicle Engineering Chongqing UniversityChongqing400030China School of Computer Science and Technology Beijing Institute of TechnologyBeijing100083China School of Computer Science and Technology Dongguan University of TechnologyDongguan523808China School of Emergency management Xihua UniversityChengdu610039China College of Computer and Information Science Chongqing Normal UniversityChongqing401331China

Mobile Edge Computing(MEC)is a promising technology that provides on-demand computing and efficient storage services as close to end users as *** an MEC environment,servers are deployed closer to mobile terminals to exploit storage infrastructure,improve content delivery efficiency,and enhance user ***,due to the limited capacity of edge servers,it remains a significant challenge to meet the changing,time-varying,and customized needs for highly diversified content of ***,techniques for caching content at the edge are becoming popular for addressing the above *** is capable of filling the communication gap between the users and content providers while relieving pressure on remote cloud ***,existing static caching strategies are still inefficient in handling the dynamics of the time-varying popularity of content and meeting users’demands for highly diversified entity *** address this challenge,we introduce a novel method for content caching over MEC,i.e.,*** synthesizes a content popularity prediction model,which takes users’stay time and their request traces as inputs,and a deep reinforcement learning model for yielding dynamic caching *** results demonstrate that PRIME,when tested upon the MovieLens 1M dataset for user request patterns and the Shanghai Telecom dataset for user mobility,outperforms its peers in terms of cache hit rates,transmission latency,and system cost.

关键词： Mobile edge computing content caching system average cost deep reinforcement learning collaborative mechanism

虚假数据注入式攻击下无人水面船舶自适应神经输出反馈轨迹跟踪控制

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自动化学报 2024年第7期50卷 1472-1484页

作者：祝贵兵吴晨马勇浙江海洋大学船舶与海运学院舟山316022 武汉理工大学水路交通控制全国重点实验室武汉430063 武汉理工大学航运学院武汉430063 武汉理工大学国家水运安全工程技术研究中心武汉430063 中国远洋海运集团院士工作站上海200135

本文主要研究网络环境下无人水面船舶(Unmanned surface vessels,USVs)遭受虚假数据注入式(False-data-injection,FDI)攻击的跟踪控制问题.其中,内部和外部不确定以及输入饱和约束等实际因素均考虑在设计中.在控制设计过程中,为避免将... 详细信息

本文主要研究网络环境下无人水面船舶(Unmanned surface vessels,USVs)遭受虚假数据注入式(False-data-injection,FDI)攻击的跟踪控制问题.其中,内部和外部不确定以及输入饱和约束等实际因素均考虑在设计中.在控制设计过程中,为避免将船舶速度的攻击信号引入闭环系统,采用分类重构思想,构造一种新的神经网络(Neural network,NN)状态观测器,同时重构船舶速度和攻击信号.进一步,在backstepping设计框架下,利用重构的攻击信号补偿USVs运动学通道因虚假数据注入式攻击引起的非匹配不确定项.在动力学设计通道中,利用自适应神经技术和单参数学习法,重构由内部和外部不确定组成的复合不确定部分,进而提出自适应神经输出反馈控制方案.理论分析表明,即便在FDI攻击、内外不确定以及执行器饱和约束的情况下,所提控制方案仍能迫使USVs跟踪给定的参考轨迹.同时,仿真和比较结果证实了所提控制方案的有效性和优越性.

关键词：无人水面船舶虚假数据注入式攻击跟踪控制单参数学习法自适应神经控制输出反馈

蝶豆提取物联合运动对帕金森病大鼠模型神经保护作用的研究

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分子植物育种 2024年第16期22卷 5492-5500页

作者：马勇驻马店职业技术学院公共教学部驻马店463000

本研究旨在探讨蝶豆提取物(Clitoria ternatea ***,CTE)与运动结合对帕金森病(PD)大鼠模型的神经保护作用。通过给予PD模型大鼠不同剂量的蝶豆提取物和运动训练,观察其对行为学表现、中脑结构以及关键神经途径的影响。结果显示,蝶豆提... 详细信息

本研究旨在探讨蝶豆提取物(Clitoria ternatea ***,CTE)与运动结合对帕金森病(PD)大鼠模型的神经保护作用。通过给予PD模型大鼠不同剂量的蝶豆提取物和运动训练,观察其对行为学表现、中脑结构以及关键神经途径的影响。结果显示,蝶豆提取物和运动的联合应用,能显著改善大鼠的运动功能,减轻中脑神经损伤,且在多巴胺合成酶(TH)的表达增加和α-Syn的表达减少方面具有协同作用。此外,联合治疗上调了中脑抗氧化因子Nrf2的表达,抑制了炎症因子NF-κB的活化。研究揭示了蝶豆提取物联合运动通过抗氧化和抗炎途径协同发挥神经保护作用,可能成为未来PD综合治疗策略的有效组成部分。本研究为蝶豆提取物和运动在PD治疗中的应用提供了实验依据和理论支持。

关键词：蝶豆蝶豆提取物帕金森病神经保护抗氧化炎症途径

Cancer immunotherapy with envelopedself-amplifying mRNA CARG-2020 thatmodulates IL-12,IL-17 and PD-L1 pathways toprevent tumor recurrence

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Acta Pharmaceutica Sinica B 2024年第1期14卷 335-349页

作者： Ju Chen Bhaskara Reddy madina Elham Ahmadi Timur Olegovich Yarovinsky marie marthe Krady Eileen Victoria Meehan Isabella China Wang Xiaoyang Ye Elise Pitmon Xian-yong ma Bijan Almassian Valerian Nakaar Kepeng Wang Department of Immunology School of MedicineUniversity of Connecticut Health CenterFarmingtonCT 06030USA CaroGen Corporation FarmingtonCT 06030USA The Eighth Clinical Medical College of Guangzhou University of Chinese Medicine Foshan Hospital of Traditional Chinese MedicineFoshan 528000China The Loomis Chaffee School WindsorCT 06095USA

Targeting multiple immune mechanisms may overcome therapy resistance and further improve cancer immunotherapy for ***,we describe the application of virus-like vesicles(VLV)for delivery of three immunomodulators alone and in combination,as a promising approach for cancer *** vectors were designed to deliver single chain interleukin(IL)-12,shorthairpin RNA(shRNA)targeting programmed death ligand 1(PD-L1),and a dominant-negative form of IL-17 receptor A(dn-IL17RA)as a single payload or as a combination *** delivery of the VLV vector expressing IL-12 alone,as well as the trivalent vector(designated CARG-2020)eradicated large established ***,only CARG-2020 prevented tumor recurrence and provided long-term survival benefit to the tumor-bearing mice,indicating a benefit of the combined *** abscopal effects of CARG-2020 on the non-injected contralateral tumors,as well as protection from the tumor cell re-challenge,suggest immune-mediated mechanism of protection and establishment of immunological ***,CARG-2020 potently activates Th1 immune mechanisms and inhibits expression of genes related to T cell exhaustion and cancer-promoting *** ability of CARG-2020 to prevent tumor recurrence and to provide survival benefit makes it a promising candidate for its development for human cancer immunotherapy.

关键词： Virus-like vesicles Oncolytic virus IL-12 IL-17 PD-L1 T cell exhaustion Combination therapy Cancer immunotherapy

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国外利率冲击与宏观政策的组合应对

社会科学 2024年第4期 109-123页

作者：马勇吕琳中国人民大学财政金融学院中国财政金融政策研究中心首都经济贸易大学金融学院

通过构建包含多元宏观政策的开放经济DSGE模型,初步探讨了国外利率冲击下的最优宏观政策规则及多元政策协调配合问题,相关结果显示:(1)当国外利率上升时,通过实施相对固定的汇率制度和独立的货币政策,汇率波动和贷款收缩趋势均减小,从... 详细信息

通过构建包含多元宏观政策的开放经济DSGE模型,初步探讨了国外利率冲击下的最优宏观政策规则及多元政策协调配合问题,相关结果显示:(1)当国外利率上升时,通过实施相对固定的汇率制度和独立的货币政策,汇率波动和贷款收缩趋势均减小,从而对总产出形成支撑;(2)较之传统的政府支出和税收规则,“财政整顿”视角下的债务规则显著降低政府支出和债务比率的波动,但也造成了财政政策“扩张不足”,而在债务规则之上增强政府支出调控力度的政策安排则可以兼顾财政稳定性和财政有效扩张的目标;(3)在货币政策和财政政策协调的基础上,宏观审慎政策可以“组合调控”的形式出现(如逆周期的资本缓冲政策和准备金政策),这有助于同时稳定资产价格、企业杠杆、政府债务、银行杠杆等多个金融变量。

关键词：货币政策财政政策宏观审慎政策政策协调汇率制度