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Diamond-Like Carbon Depositing on the Surface of Polylactide Membrane for Prevention of Adhesion Formation During Tendon Repair

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Nano-Micro Letters 2024年第9期16卷 478-499页

作者： Yao Xiao Zaijin Tao Yufeng Ju Xiaolu Huang Xinshu zhang Xiaonan Liu Pavel A.Volotovski Chao Huang Hongqi Chen yaozhong zhang Shen Liu Department of Orthopaedics Shanghai Jiao Tong University School of Medicine Affiliated Sixth People’s Hospital600 Yishan RdShanghai 200233People’s Republic of China Shanghai Tongji Hospital 389 Xincun RdShanghai 200065People’s Republic of China Key Laboratory for Thin Film and Microfabrication of Ministry of Education Research Institute of Micro/Nano Science and TechnologyShanghai Jiao Tong UniversityShanghai 200240People’s Republic of China Orthopedic Trauma Department Belarus Republic Scientific and Practical Center for Traumatology and OrthopedicsKizhevatova str.60/4220024 MinskBelarus Shanghai Haohai Biological Technology Limited Liability Company 1386 Hongqiao RdShanghai 200336People’s Republic of China Department of General Surgery Shanghai Jiao Tong University School of Medicine Affiliated Sixth People’s Hospital600 Yishan RdShanghai 200233People’s Republic of China Shanghai Key Laboratory for High Temperature Materials and Precision Forming School of Materials Science and EngineeringShanghai Jiao Tong UniversityShanghai 200240People’s Republic of China

Post-traumatic peritendinous adhesion presents a significant challenge in clinical *** study proposes the use of diamond-like carbon(DLC)deposited on polylactic acid(PLA)membranes as a biophysical mechanism for anti-adhesion barrier to encase ruptured tendons in tendon-injured *** results indicate that PLA/DLC composite membrane exhibits more efficient anti-adhesion effect than PLA membrane,with histological score decreasing from 3.12±0.27 to 2.20±0.22 and anti-adhesion effectiveness increasing from 21.61%to 44.72%.Mechanistically,the abundant C=O bond functional groups on the surface of DLC can reduce reactive oxygen species level effectively;thus,the phosphorylation of NF-κB and M1 polarization of macrophages are ***,excessive inflammatory response augmented by M1 macrophage-originated cytokines including interleukin-6(IL-6),interleukin-1β(IL-1β),and tumor necrosis factor-α(TNF-α)is largely *** biocompatibility evaluation,PLA/DLC membrane is slowly absorbed within tissue and displays prolonged barrier effects compared to traditional PLA *** studies show the DLC depositing decelerates the release of degradation product lactic acid and its induction of macrophage M2 polarization by interfering esterase and PLA ester bonds,which further delays the fibrosis *** was found that the PLA/DLC membrane possess an efficient biophysical mechanism for treatment of peritendinous adhesion.

关键词： Diamond-like carbon Reactive oxygen species scavenging Foreign body reaction Biodegradation Antioxidant Peritendinous adhesion

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航空火控系统试飞综合评估技术与方法探讨

航空学报 2024年第5期45卷 171-184页

作者：宋海浪张建东史国庆杨啟明张耀中中国飞行试验研究院西安710089 西北工业大学电子信息学院西安710072

就航空电子综合化火控系统试飞结果综合评估中的火控建模、数据融合、信息管理、效能评估和精度分析等技术问题进行了探讨,对这些技术的理论依据、关键技术和试飞应用进行了讨论,为进一步深入研究和应用提供了信息、思路和方法。所述技... 详细信息

就航空电子综合化火控系统试飞结果综合评估中的火控建模、数据融合、信息管理、效能评估和精度分析等技术问题进行了探讨,对这些技术的理论依据、关键技术和试飞应用进行了讨论,为进一步深入研究和应用提供了信息、思路和方法。所述技术是型号航电综合化火控系统试飞准备的重要内容,可为试飞结果综合分析提供实用的技术手段。

关键词：航电火控系统火控建模数据融合信息管理效能评估精度分析

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多/单目标优化转换下的作战任务重分配

西北工业大学学报 2024年第3期42卷 426-434页

作者：张建东纪龙梦史国庆郭岩杨啟明张耀中西北工业大学电子信息学院陕西西安710072 空装驻沈阳地区第一军事代表室辽宁沈阳110850

协同作战任务分配技术是近年来军事领域的研究热点之一,以往的研究一般将任务分配划分为预分配和动态分配2个阶段并独立进行研究,但是这种做法忽略了2个阶段之间的内在联系。针对这一问题,以多目标优化下的任务预分配和单目标优化下的... 详细信息

协同作战任务分配技术是近年来军事领域的研究热点之一,以往的研究一般将任务分配划分为预分配和动态分配2个阶段并独立进行研究,但是这种做法忽略了2个阶段之间的内在联系。针对这一问题,以多目标优化下的任务预分配和单目标优化下的任务动态分配为切入点,提出一种多/单目标优化转换思想。在动态任务分配阶段,通过决策者在预分配阶段的选择获取其主观偏好,基于获取的主观偏好将多目标优化转化为单目标优化后,使用合同网协议完成单目标任务重分配。仿真结果证明了所提出的多/单目标优化转换思想的正确性及其在动态任务分配问题中的适用性。

关键词：多目标优化单目标优化任务重分配多目标粒子群算法合同网协议

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煤矿刮板输送机链传动系统动力学仿真分析

机械管理开发 2024年第8期39卷 61-63页

作者：张耀中山西新元煤炭有限责任公司山西寿阳045300

以SGB62040T煤矿刮板输送机为例,介绍一种基于有限元分析的刮板输送机链传动系统动力学仿真分析方法。首先,将链传动系统相关参数录入到UG软件内,构建出整个链传动系统模型图,之后以此为基础,模拟分析链传动系统的动力学特性,以准确寻... 详细信息

以SGB62040T煤矿刮板输送机为例,介绍一种基于有限元分析的刮板输送机链传动系统动力学仿真分析方法。首先,将链传动系统相关参数录入到UG软件内,构建出整个链传动系统模型图,之后以此为基础,模拟分析链传动系统的动力学特性,以准确寻找出链传动系统中的薄弱点,为链传动系统结构的优化设计提供支持,确保刮板输送机能够安全、稳定地运行。

关键词：煤矿刮板输送机链传动系统动力学仿真分析

Distributed blackboard decision-making framework for collaborative planning based on nested genetic algorithm

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Journal of Systems Engineering and Electronics 2015年第6期26卷 1236-1243页

作者： yaozhong zhang Lei zhang Zhiqiang Du School of Electronics and Information Northwestern Polytechnical University

A distributed blackboard decision-making framework for collaborative planning based on nested genetic algorithm （NGA） is proposed. By using blackboard-based communication paradigm and shared data structure, multiple decision-makers （DMs） can collaboratively solve the tasks-platforms allocation scheduling problems dynamically through the coordinator. This methodo- logy combined with NGA maximizes tasks execution accuracy, also minimizes the weighted total workload of the DM which is measured in terms of intra-DM and inter-DM coordination. The intra-DM employs an optimization-based scheduling algorithm to match the tasks-platforms assignment request with its own platforms. The inter-DM coordinates the exchange of collaborative request information and platforms among DMs using the blackboard architecture. The numerical result shows that the proposed black- board DM framework based on NGA can obtain a near-optimal solution for the tasks-platforms collaborative planning problem. The assignment of platforms-tasks and the patterns of coordination can achieve a nice trade-off between intra-DM and inter-DM coordination workload.

关键词： distributed collaborative planning blackboard decision maker (DM) nested genetic algorithm (NGA).

A Floatable Piezo?Photocatalytic Platform Based on Semi?Embedded ZnO Nanowire Array for High?Performance Water Decontamination

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Nano-Micro Letters 2019年第1期11卷 191-204页

作者： yaozhong zhang Xiaolu Huang Junghoon Yeom Department of Electrical and Computer Engineering Michigan State University Department of Mechanical Engineering Michigan State University

Photocatalytic degradation attracts considerable attention because it is a promising strategy to treat pollutants from industrial and agricultural wastes. In recent years, other than the development of e cient photocatalysts, much e ort has been devoted to the design of reliable and inexpensive photocatalytic platforms that work in various environment conditions. Here, we describe a novel photocatalytic platform that is able to float and freely move atop water while performing photodegradation. Compared to common platforms, such as slurry reactors and immobilized photoreactors, the proposed platform is advantageous in terms of easy recycling and energy saving. Furthermore, the special configuration resulting from a two-step synthesis route, semi-embedded photocatalysts, addresses some of the remaining challenges, for instance, the contamination from the loose photocatalysts themselves. For the probe pollutant, methylene blue(MB), a reproducible and remarkable degradation activity of the platform, is observed and the e ect of two primary factors, including surface area of the catalyst and mass transfer rate, is investigated. Besides, the piezo-photocatalysis e ect, serving as an additional functionality, is confirmed to further improve the degradability of the platform, which o ers an additional 20% of degraded MB. At last, the promising result of the degradation toward crude oil reveals the possibility of the platform to be used in gasoline pollution treatment.

关键词： Semi-embedded structure Photocatalysis Piezocatalysis ZnO nanowire arrays

Deep reinforcement learning for UAV swarm rendezvous behavior

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Journal of Systems Engineering and Electronics 2023年第2期34卷 360-373页

作者： zhang yaozhong LI Yike WU Zhuoran XU Jialin School of Electronics and Information Northwestern Polytechnical UniversityXi’an 710129China

The unmanned aerial vehicle(UAV)swarm technology is one of the research hotspots in recent *** the continuous improvement of autonomous intelligence of UAV,the swarm technology of UAV will become one of the main trends of UAV development in the *** paper studies the behavior decision-making process of UAV swarm rendezvous task based on the double deep Q network(DDQN)*** design a guided reward function to effectively solve the problem of algorithm convergence caused by the sparse return problem in deep reinforcement learning(DRL)for the long period *** also propose the concept of temporary storage area,optimizing the memory playback unit of the traditional DDQN algorithm,improving the convergence speed of the algorithm,and speeding up the training process of the *** from traditional task environment,this paper establishes a continuous state-space task environment model to improve the authentication process of UAV task *** on the DDQN algorithm,the collaborative tasks of UAV swarm in different task scenarios are *** experimental results validate that the DDQN algorithm is efficient in terms of training UAV swarm to complete the given collaborative tasks while meeting the requirements of UAV swarm for centralization and autonomy,and improving the intelligence of UAV swarm collaborative task *** simulation results show that after training,the proposed UAV swarm can carry out the rendezvous task well,and the success rate of the mission reaches 90%.

关键词： double deep Q network(DDQN)algorithms unmanned aerial vehicle(UAV)swarm task decision deep reinforcement learning(DRL) sparse returns

A UAV collaborative defense scheme driven by DDPG algorithm

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系统工程与电子技术:英文版 2023年第5期34卷 1211-1224页

作者： zhang yaozhong WU Zhuoran XIONG Zhenkai CHEN Long School of Electronics and Information Northwestern Polytechnical UniversityXi’an 710072China College of New Energy and Intelligent Connected Vehicle Anhui University of Science&TechnologyHefei 231131China China Research and Development Academy of Machinery Equipment Beijing 100089China

The deep deterministic policy gradient(DDPG)algo-rithm is an off-policy method that combines two mainstream reinforcement learning methods based on value iteration and policy *** the DDPG algorithm,agents can explore and summarize the environment to achieve autonomous deci-sions in the continuous state space and action *** this paper,a cooperative defense with DDPG via swarms of unmanned aerial vehicle(UAV)is developed and validated,which has shown promising practical value in the effect of *** solve the sparse rewards problem of reinforcement learning pair in a long-term task by building the reward function of UAV swarms and optimizing the learning process of artificial neural network based on the DDPG algorithm to reduce the vibration in the learning *** experimental results show that the DDPG algorithm can guide the UAVs swarm to perform the defense task efficiently,meeting the requirements of a UAV swarm for non-centralization,autonomy,and promoting the intelligent development of UAVs swarm as well as the decision-making process.

关键词： deep deterministic policy gradient(DDPG)algorithm unmanned aerial vehicles(UAVs)swarm task decision making deep reinforcement learning sparse reward problem

砜吡草唑与嗪草酮复配应用于大豆-玉米带状复合种植田的效果评价

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植物保护学报 2024年第2期51卷 361-368页

作者：高兴祥冯克张国福杨素梅李美李健金岩张耀中山东省农业科学院植物保护研究所济南250100 聊城市农业技术推广服务中心山东聊城252000 山东省农药检定所济南250100

为明确小麦Triticum aestivum田新型除草剂砜吡草唑与嗪草酮复配应用于大豆Glycine max玉米Zea mays带状复合种植田的可行性,在温室内采用Gowing法测定砜吡草唑与嗪草酮复配的联合作用类型,并通过盆栽法测定两者复配制剂80%砜吡·嗪草... 详细信息

为明确小麦Triticum aestivum田新型除草剂砜吡草唑与嗪草酮复配应用于大豆Glycine max玉米Zea mays带状复合种植田的可行性,在温室内采用Gowing法测定砜吡草唑与嗪草酮复配的联合作用类型,并通过盆栽法测定两者复配制剂80%砜吡·嗪草酮水分散粒剂(water dispersible granule,WDG)的杂草防除谱以及对大豆和玉米的安全性。结果显示,砜吡草唑与嗪草酮复配防除禾本科杂草马唐Digitaria sanguinalis和稗Echinochloa oryzicola的联合作用类型属于增效作用;对阔叶杂草苘麻Abutilon theophrasti和龙葵Solanum nigrum的联合作用类型属于加成作用。80%砜吡·嗪草酮WDG对6种禾本科杂草马唐、稗、牛筋草Eleusine indica、狗尾草Setaira viridis、虎尾草Chloris virgata、大狗尾草Setaira faberii和4种阔叶杂草马齿苋Portulaca oleracea、青葙Celosia argentea、铁苋菜Acalypha australis、反枝苋Amaranthus retroflexus的防除效果均很好,其GR50在6.1~21.6 g(a.i.)/hm^(2)之间,GR90在16.3~50.5 g(a.i.)/hm^(2)之间,对苘麻和龙葵的防除效果略差,其GR50分别为53.3 g(a.i.)/hm^(2)和25.4 g(a.i.)/hm^(2),GR90分别为282.1 g(a.i.)/hm^(2)和96.7 g(a.i.)/hm^(2),低于其田间推荐剂量300~360 g(a.i.)/hm^(2),且该药剂对玉米和大豆的安全性都很高,在玉米与马唐、稗、牛筋草、马齿苋、青葙及铁苋菜这6种杂草之间的选择性指数均大于13.6,在大豆与这6种杂草之间的选择性指数均远大于28.5。表明砜吡草唑完全可与嗪草酮复配应用于大豆-玉米带状复合种植田的杂草防除。

关键词：砜吡草唑嗪草酮联合作用类型大豆-玉米带状复合种植防除效果安全性