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东魏霸府考论

学术界 2009年第3期 231-236页

作者：韦琦辉商丘师范学院历史学与社会发展学系河南商丘476000

东魏霸府包括相府和中外府,其中相府是霸府统治的核心机构。东魏霸府主要有三个职能,一是掌控武装力量,二是处理全国政务,三是控制皇权,掌控武装力量是最主要的职能,其他职能都依赖于这一职能而存在。

关键词：东魏霸府相府中外府

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高澄遇刺事件再探

前沿 2010年第16期 133-135页

作者：韦琦辉商丘师范学院历史学与社会学系河南商丘476000

关于高澄遇刺,史书记载是一次意外事故,但何德章先生等却认为这是一场由高澄的弟弟高洋组织的有预谋的政变。高澄之死肯定不是一场意外事故,而是一场有预谋的刺杀事件,但是各种资料表明高洋并不是背后的主谋。结合动机和条件两方面的因... 详细信息

关于高澄遇刺,史书记载是一次意外事故,但何德章先生等却认为这是一场由高澄的弟弟高洋组织的有预谋的政变。高澄之死肯定不是一场意外事故,而是一场有预谋的刺杀事件,但是各种资料表明高洋并不是背后的主谋。结合动机和条件两方面的因素,笔者认为侯景策划这次事件的可能性最大。

关键词：东魏高澄遇刺高洋侯景

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季铵盐对亚硝酰钌亚硝酸基络合物的萃取

核化学与放射化学 1984年第4期 201-206页

作者：魏启慧黄美新原子能研究所原子能研究所

本文制备了103Ru标记的Na2[RuNO（NO2）4OH]络合物,研究了它在季铵-二甲苯中的萃取性能。分配系数D可达～103,萃合物中含2分子季铵。建立了以季铵盐为萃取剂从裂变产物中分离测定106Ru-106Rh的方法,结果与H2SO4-NaBiO3蒸馏法相符。对HNO... 详细信息

本文制备了103Ru标记的Na2[RuNO（NO2）4OH]络合物,研究了它在季铵-二甲苯中的萃取性能。分配系数D可达～103,萃合物中含2分子季铵。建立了以季铵盐为萃取剂从裂变产物中分离测定106Ru-106Rh的方法,结果与H2SO4-NaBiO3蒸馏法相符。对HNO3溶解的热铀溶液中钌的化学状态及行为作了初步探讨。

关键词：季铵盐亚硝酸钌亚硝酰钌四亚硝酸基络合物

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二茂钛在水溶液和非水溶剂中电导行为的研究

新疆大学学报（自然科学版） 1989年第4期6卷 71-73页

作者：赵立芳耿启辉渭南师专化学系

在25℃的二甲亚砜(DMSO)溶剂中,测定了二卤二茂钛,Cp_2TiX_2(C_P=环戊二烯基,或甲基环戊二烯基;X=F、Cl、Br、I)的当量电导,浓度范围为3.6～390×10^(-4)N。结果表明:Cp_2 TiX_2(X=Cl、Br、I)和(MeCp)_2 TiCl_2在 DMSO 中表现为1:1型电... 详细信息

关键词：二茂钛水溶液非水溶剂电导

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财务共享服务中心建设路径探析

科技创业月刊 2019年第1期32卷 59-61页

作者：周列平魏奇慧孔祥振长江职业学院湖北武汉430074 武汉商贸职业学院湖北武汉430205 浪潮集团湖北分公司湖北武汉430071

财务共享服务是一种新型财务管理模式,是企业财务转型升级之道。财务共享服务中心建设路径应包括战略定位、蓝图设计、信息平台搭建、运营优化等4个步骤。根据企业特点,财务共享服务中心采用多种不同的建设方案和模式。财务共享服务信... 详细信息

财务共享服务是一种新型财务管理模式,是企业财务转型升级之道。财务共享服务中心建设路径应包括战略定位、蓝图设计、信息平台搭建、运营优化等4个步骤。根据企业特点,财务共享服务中心采用多种不同的建设方案和模式。财务共享服务信息平台是建设财务共享服务中心的关键要素。但财务共享中心的建设,不仅是实施信息系统,而且需要做好整体业务规划。

关键词：财务共享共享服务中心企业财务管理

褐藻素通过调控Nrf2/Keap1通路缓解糖尿病大鼠心肌肥大

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南方医科大学学报 2022年第5期42卷 752-759页

作者：郑冬晓陈琳琳韦其慧朱梓然刘子略金琳杨观玉谢曦海南大学药学院海南海口570228

目的探索褐藻素(FX)对糖尿病心肌病的保护效应和作用机制。方法腹腔注射链脲佐菌素建立糖尿病大鼠模型,进行分组:糖尿病组(DM)、褐藻素干预糖尿病组(DM+FX)和二甲双胍干预糖尿病组(DM+Met),另取正常大鼠给予正常喂养作为正常组(Con)。... 详细信息

目的探索褐藻素(FX)对糖尿病心肌病的保护效应和作用机制。方法腹腔注射链脲佐菌素建立糖尿病大鼠模型,进行分组:糖尿病组(DM)、褐藻素干预糖尿病组(DM+FX)和二甲双胍干预糖尿病组(DM+Met),另取正常大鼠给予正常喂养作为正常组(Con)。造模成功后连续12周每日灌胃给药,褐藻素组每日给予200 mg/kg褐藻素灌胃,二甲双胍组每日给予230 mg/kg灌胃,糖尿病组同步灌胃生理盐水。HE染色观察各组大鼠心脏细胞肥大情况;Westernblot法检测大鼠心脏中纤维化蛋白TGF-β1和FN蛋白表达水平。H9C2细胞分为3组:正常糖组(NG,5.5 mmol/L葡萄糖)、高糖组(HG,45 mmol/L葡萄糖)和褐藻素干预高糖组(HG+1μmol/L FX)。FITC标记的鬼笔环肽检测大鼠心肌细胞H9C2表面积变化;qRT-PCR法测定各组细胞肥大因子ANP、BNP和β-MHC基因表达变化;Westernblot法检测各组大鼠心脏组织和H9C2细胞中Nrf2、Keap1、HO-1、SOD1蛋白表达水平;DCFH-DA探针检测细胞内活性氧水平变化。结果褐藻素改善糖尿病大鼠心肌纤维化和心肌细胞肥大,同时上调心脏组织中Nrf2和HO-1蛋白表达,抑制Keap1蛋白表达(P<0.05)。褐藻素可抑制高糖诱导H9C2心肌细胞表面积增加,降低ANP、BNP和β-MHC的mRNA表达水平(P<0.05)。褐藻素可促进高糖诱导的H9C2细胞中Nrf2入核,上调下游靶蛋白SOD1和HO-1蛋白表达(P<0.05)来增强细胞抗氧化能力,降低细胞内活性氧的水平。结论褐藻素具有良好的抗糖尿病心肌纤维化和心肌细胞肥大作用,同时上调Nrf2信号通路并促进下游抗氧化蛋白SOD1和HO-1的表达,降低活性氧水平。

关键词：褐藻素糖尿病心肌病 Nrf2/Keap1 氧化应激

Joint Task Allocation and Resource Optimization for Blockchain Enabled Collaborative Edge Computing

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China Communications 2024年第12期21卷 218-229页

作者： Xu Wenjing Wang wei Li Zuguang Wu qihui Wang Xianbin College of Electronic and Information Engineering Nanjing University of Aeronautics and AstronauticsNanjing 211106China Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space Ministry of Industry and Information TechnologyNanjing 211106China Department of Electrical and Computer Engineering Western UniversityCanada

Collaborative edge computing is a promising direction to handle the computation intensive tasks in B5G wireless ***,edge computing servers(ECSs)from different operators may not trust each other,and thus the incentives for collaboration cannot be *** this paper,we propose a consortium blockchain enabled collaborative edge computing framework,where users can offload computing tasks to ECSs from different *** minimize the total delay of users,we formulate a joint task offloading and resource optimization problem,under the constraint of the computing capability of each *** apply the Tammer decomposition method and heuristic optimization algorithms to obtain the optimal ***,we propose a reputation based node selection approach to facilitate the consensus process,and also consider a completion time based primary node selection to avoid monopolization of certain edge node and enhance the security of the *** results validate the effectiveness of the proposed algorithm,and the total delay can be reduced by up to 40%compared with the non-cooperative case.

关键词： blockchain collaborative edge computing resource optimization task allocation

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Blockchain-Empowered Dynamic Spectrum Management for Space-Air-Ground Integrated Network

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Chinese Journal of Electronics 2022年第3期31卷 456-466页

作者： LI Zuguang WANG wei GUO Jia ZHU Youwen HAN Lu WU qihui College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space Ministry of Industry and Information Technology

Space-air-ground integrated network is capable of providing seamless and ubiquitous services to cater for the increasing wireless communication demands of emerging applications. However, how to efficiently manage the heterogeneous resources and protect the privacy of connected devices is a very challenging issue, especially under the highly dynamic network topology and multiple trustless network operators. In this paper, we investigate blockchain-empowered dynamic spectrum management by reaping the advantages of blockchain and software defined network(SDN), where operators are incentive to share their resources in a common resourced pool. We first propose a blockchain enabled spectrum management framework for space-air-ground integrated network, with inter-slice spectrum sharing and intra-slice spectrum allocation. Specifically, the inter-slice spectrum sharing is realized through a consortium blockchain formed by the upper-tier SDN controllers, and then a graph coloring based channel assignment algorithm is proposed to manage the intra-slice spectrum assignment. A bilateral confirmation protocol and a consensus mechanism are also proposed for the consortium blockchain. The simulation results prove that our proposed consensus algorithm takes less time than practical Byzantine fault tolerance algorithm to reach a consensus, and the proposed channel assignment algorithm significantly improves the spectrum utilization and outperforms the baseline algorithm in both simulation and real-world scenarios.

关键词： consensus mechanism space communication links blockchains blockchain-empowered dynamic spectrum management radio spectrum management multiple trustless network operators wireless communication demands graph coloring software defined networking inter-slice spectrum sharing graph colouring upper-tier SDN controllers fault tolerant computing protocols Byzantine fault tolerance algorithm spectrum utilization space-air-ground integrated network channel allocation software defined network channel assignment algorithm consortium blockchain intra-slice spectrum assignment intra-slice spectrum allocation telecommunication network topology highly dynamic network topology

Frequency-Hopping Frequency Reconnaissance and Prediction for Non-cooperative Communication Network

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China Communications 2021年第12期18卷 51-64页

作者： Gao Li wei Wang Guoru Ding qihui Wu Zitong Liu Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space Ministry of Industry and Information TechnologyNanjing University of Aeronautics and AstronauticsNanjing 211106China College of Communications Engineering Army Engineering UniversityNanjing 210007China

The continuous change of communica-tion frequency brings difficulties to the reconnaissance and prediction of non-cooperative communication *** the frequency-hopping(FH)sequence is usually generated by a certain model with certain regularity,the FH frequency is thus *** this paper,we investigate the FH frequency reconnais-sance and prediction of a non-cooperative communi-cation network by effective FH signal detection,time-frequency(TF)analysis,wavelet detection and fre-quency *** the intercepted massive FH signal data,long short-term memory(LSTM)neural network model is constructed for FH frequency *** results show that our parameter es-timation methods could estimate frequency accurately in the presence of certain ***,the LSTM-based scheme can effectively predict FH frequency and frequency interval.

关键词： non-cooperative communication network frequency-hopping frequency prediction LSTM