Chinese Companies and Business Leaders Have Been Very Active This Year

Engagement at the highest level generates commitment,creates alignment,and ensures trade-offs are managed strategically rather than tactically.The UK is one of the best examples of this.Earlier this year,the Cabinet created the Infrastructure&Projects Authority to consolidate

CONSENSUS OF THE SECOND-ORDER MULTI-AGENT SYSTEMS WITH AN ACTIVE LEADER AND COUPLING TIME DELAY

This article investigates the consensus problem of the second-order multi-agent systems with an active leader and coupling time delay in direct graph. One decentralized state control rule is constructed for each agent to track the active leader and it is proved that the proposed control scheme enables the consensus to be obtained when the adjacency topology is fixed/switched. Simulation results show effectiveness of the proposed theoretical analysis.

Targeted delivery of docetaxel to the metastatic lymph nodes:A comparison study between nanoliposomes and activated carbon nanoparticles

The objective of this study is to compare the targeting ability of activated carbon nanoparticles and nanoliposomes,which are used as carriers for delivering docetaxel(DTX)to the metastatic lymph nodes.In this study,we first prepared the DTX-loaded activated carbon nanoparticles(DTX-AC-NPs)by modifying the activated carbon with nitric acid oxidation and absorbing DTX in the concentrated nitro-oxide nanocarbon.We then prepared DTX-loaded nanoliposomes(DTX-LPs)by the proliposome method.The physiochemical properties of DTX-AC-NPs and DTX-LPs were carefully evaluated in vitro.The metastatic lymph node uptake and the injection site retention were investigated by analyzing the DTX concentration in metastatic lymph nodes and injection sites.The result showed that DTX-AC-NPs and DTX-LPs with suitable and stable physicochemical properties could be used for in vivo lymph node targeting studies.DTX-AC-NPs significantly increased DTX-AUC_((0-24)) and prolonged DTX-retention in metastatic lymph nodes compared to DTX-LPs and non-modified activate carbon in vivo.This study demonstrated activated carbon nanoparticles may be potential intralymphatic drug delivery system to preferentially target regional metastatic lymph nodes.

Colorectal cancer lymph node staining by activated carbon nanoparticles suspension in vivo or methylene blue in vitro

AIM:To investigate whether activated carbon nanoparticles suspension(ACNS) or methylene blue(MB) can increase the detected number of lymph nodes in colorectal cancer.METHODS:Sixty-seven of 72 colorectal cancer patients treated at our hospital fulfilled the inclusion criteria of the study which was conducted from December 2010 to February 2012.Seven patients refused to participate.Eventually,60 patients were included,and randomly assigned to three groups(20 in each group):ACNS group(group A),MB group(group B) and non-stained conventional surgical group(group C).In group A,patients received subserosal injection of 1 mL ACNS in a 4-quadrant region around the mass.In group B,the main artery of specimen was identified and isolated after the specimen was removed,and 2 mL MB was slowly injected into the isolated,stretched and fixed vessel.In group C,no ACNS and MB were injected.All the mesentery lymph nodes were isolated and removed systematically by visually inspecting and palpating the adipose tissue.RESULTS:No difference was observed among the three groups in age,gender,tumor location,tumor diameter,T-stage,degree of differentiation,postoperative complications and peritoneal drainage retention time.The total number of detected lymph nodes was 535,476 and 223 in the three groups,respectively.The mean number of detected lymph nodes per patient was significantly higher in group A than in group C(26.8 ± 8.4 vs 12.2 ± 3.2,P < 0.001).Similarly,there were significantly more lymph nodes detected in group B than in group C(23.8 ± 6.9 vs 12.2 ± 3.2,P < 0.001).However,there was no significant difference between group A and group B.There were 50,46 and 32 metastatic lymph nodes dissected in 13 patients of group A,10 patients of group B and 11 patients of group C,without significant differences among the three groups.Eleven of the 60 patients had insufficient number of detected lymph nodes(< 12).Only one patient with T 4a rectal cancer had 10 lymph nodes detected in group B,the other 10 patients were all from group C.Based on the different diameter categories,the number of detected lymph nodes in groups A and B was significantly higher than in group C.However,there was no statistically significant difference between group A and group B.The metastatic lymph nodes were not significant different among the three groups.Similarly,tumor location,T stage and tumor differentiation did not affect the staining results.Body mass index was a minor influencing factor in the two different staining methods.The stained lymph nodes can easily be identified from the mesenteric adipose tissues,and the staining time for lymph nodes was not significantly different compared with unstained group.None of the patients in groups A and B had drug-related complications.CONCLUSION:Both activated carbon nanoparticles suspension in vivo and methylene blue in vitro can be used as tracers to increase the detected number of lymph nodes in colorectal cancer.

Chronic hepatitis B:Enlarged perihepatic lymph nodes correlated with hepatic histopathology

AIM:To assess the value of enlarged perihepatic lymph nodes in determining hepatic histopathology for chronic hepatitis B(CHB) by magnetic resonance imaging(MRI).METHODS:Sixty-seven patients who were clinically and histologically diagnosed with CHB and 18 healthy subjects without history of liver disease underwent abdominal MRI.Histological diagnosis and hepatic inflammation(grade 0-4) and fibrosis(stage 0-4) were assessed by a simplified system for scoring in chronic viral hepatitis.The major imaging protocol included an axial breath-hold fat suppressed fast spoiled gradient echo T2-weighted imaging(T2WI),axial breath-trigger fat suppressed fast recovery fast spin echo T2WI,and axial and coronal fast imaging employing steady-state acquisition.Perihepatic lymph nodes larger than 5 mm in shortest diameter were noted.RESULTS:The numbers and size indexes of lymphnodes greater than 5 mm in shortest diameter in hepatic hilum suggested inflammatory activity for subjects with grade 2 or higher,with a high accuracy of diagnosis(the area under the curves > 0.9,P < 0.001).The numbers of lymph nodes were 2 or more with a sensitivity of 87.27%,a specificity of 90.00%,an accuracy of 88.24%,a positive predictive value of 94.12%,and a negative predictive value of 79.41% in patients with grade 2 or higher,and the size indexes were no less than 180 mm 2 with a sensitivity of 83.64%,a specificity of 100%,an accuracy of 89.41%,a positive predictive value of 100%,and a negative predictive value of 76.92%.The numbers and size indexes of lymph nodes were not correlated with hepatic fibrosis.The signal intensity indexes of lymph nodes were no significant correlation with histological grading or staging of liver.CONCLUSION:The numbers and size indexes of enlarged perihepatic lymph nodes for patients with CHB suggest inflammatory activity for subjects with grade 2 or higher.

Determining Leaders and Communities on Networks Using Neighborhood Similarity

Networks are used to represent interactions in a wide variety of fields, like biology, sociology, chemistry, and more. They have a great deal of salient information contained in their structures, which have a variety of applications. One of the important topics of network analysis is finding influential nodes. These nodes are of two kinds —leader nodes and bridge nodes. In this study, we propose an algorithm to find strong leaders in a network based on a revision of neighborhood similarity. This leadership detection is combined with a neighborhood intersection clustering algorithm to produce high quality communities for various networks. We also delve into the structure of a new network, the Houghton College Twitter network, and examine the discovered leaders and their respective followers in more depth than which is frequently attempted for a network of its size. The results of the observations on this and other networks demonstrate that the community partitions found by this algorithm are very similar to those of ground truth communities.

Analytical Modeling of a Multi-queue Nodes Network Router

This paper presents the derivation of an analytical model for a multi-queue nodes network router, which is referred to as the multi-queue nodes （mQN） model. In this model, expressions are derived to calculate two performance metrics, namely, the queue node and system utilization factors. In order to demonstrate the flexibility and effectiveness of the mQN model in analyzing the performance of an mQN network router, two scenarios are performed. These scenarios investigated the variation of queue nodes and system utilization factors against queue nodes dropping probability for various system sizes and packets arrival routing probabilities. The performed scenarios demonstrated that the mQN analytical model is more flexible and effective when compared with experimental tests and computer simulations in assessing the performance of an mQN network router.

Steadfast Energy Proficient Sensor Node Activation System in Wireless Networks Lifetime Enhancement

The wireless sensor network (WSN) is one of the budding exploring areas and fast rising fields in wireless communications. The sensor nodes in the network are generally small-size, low-cost, low-power and multi-function capabilities. Wireless sensor networks (WSNs) are used for various applications;since numerous sensor nodes are usually deployed on remote and inaccessible places, the employment and preservation should be easy and scalable. Sensor nodes in the field being run out of energy quickly has been an issue and many energy efficient routing protocols have been proposed to solve this problem and preserve the long life of the network. This paper work proposes a hierarchical based node activation routing technique which shows energy efficiency. This technique selects cluster head with highest residual energy in each communication round of transmission to the base station from the cluster heads. Hierarchical based node activation routing technique with different levels of hierarchy simulation results prolongs the lifetime of the network compared to other clustering schemes and communication rounds of simulation increase significantly.

主动网络节点操作系统(NodeOS)的研究

提出了一种3层次的主动网络节点操作系统(NodeOS)结构模型,即硬件抽象层、资源管理层和NodeOS-EEAPI层,详细讨论了每一层上的主要功能及实现机制。还讨论了基于授权的主动节点安全体系,它将分布式授权、安全策略管理、基于授权的访问控制、数据包起源授权及完整性控制有机地结合起来,保证了主动节点和主动包的安全。

STAT-3 correlates with lymph node metastasis and cell survival in gastric cancer

AIM:To investigate the correlation between gastric cancer growth and signal transducer and activator of transcription-3(STAT3) expression.METHODS:We assessed the expressions of STAT3,phosphor-STAT3(pSTAT3),suppressor of cytokine signaling-1(SOCS-1),survivin and Bcl-2 in gastric cancer patients after gastrectomy by immunohistochemical method.In addition,in situ hybridization was used to further demonstrate the mRNA expression of STAT3 in gastric cancer.RESULTS:With the univariate analysis,expressions of STAT3,pSTAT3,SOCS-1,survivin and Bcl-2,the size of primary tumor and the lymph node metastasis were found to be associated with the overall survival(OS) of gastric cancer patients.However,only pSTAT3 expression and the lymph node metastasis were identified as the independent factors of OS of gastric cancer with multivariate analysis.STAT3 expression was correlated with the lymph node metastasis.There were positive correlations between expressions of STAT3,survivin,Bcl-2 and pSTAT3 in gastric cancer,whereas there was negative correlation between STAT3 expression and SOCS-1 expression in gastric cancer.CONCLUSION:STAT3 can transform into pSTAT3 to promote the survival and inhibit the apoptosis of gastric cancer cells.SOCS-1 might be the valid molecular antagonist to inhibit the STAT3 expression in gastric cancer.

Linear Three-Phase Power Flow for Unbalanced Active Distribution Networks with PV Nodes

High penetration of distributed renewable energy promotes the development of an active distribution network(ADN).The power flow calculation is the basis of ADN analysis.This paper proposes an approximate linear three-phase power flow model for an ADN with the consideration of the ZIP model of the loads and PV nodes.The proposed method is not limited to radial topology and can handle high R/X ratio branches.Case studies on the IEEE 37-node distribution network show a high accuracy and the proposed method is applicable to practical uses such as linear or convex optimal power flow of the ADN.

基于虚拟领导节点改进的孤岛微电网完全分布式二次调频策略

传统分布式二次调频策略在虚拟领导节点频率信息出现故障时会导致微电网系统频率无法恢复,针对该问题提出并设计一种完全分布式二次调频策略。首先分析传统分布式二次调频策略虚拟领导节点故障对二次调频过程产生的影响;然后,结合一致性算法对传统分布式二次调频控制器加以改进,通过将调频补偿量与频率偏差的对消作为“频率引导项”加入各分布式控制器中,使得各分布式发电单元完全对等,以保证虚拟领导节点去除后频率的正常恢复,实现完全分布式控制;最后,通过仿真验证所提方法在保证频率恢复方面的有效性与优越性。

航空器场面滑行关键路径识别与抗毁性研究

为准确辨识机场地面滑行系统重要路段,提升拥塞风险控制能力,通过构建机场活动区交通网络模型,从节点近邻、全局路径、特征向量和网络位置4个角度挖掘关键节点,提出改进介数中心性算法,得到节点重要度排序样例集。综合鲁棒性、性能下降速率以及单位时间性能损失等网络性能指标,通过抗毁性实验分析性能变化曲线,确定综合抗毁性衡量指标ki测度下复杂网络节点重要度排序结果,实现关键路径识别。以华北某机场为例开展实证研究,结果表明:机场活动区交通网络具有较小的聚类系数,在随机攻击下抗毁性较强,基于度中心性的节点序列为所有样例中最满足实际运行中的关键路段,管制员可实施重点路段流量调配,抑制冲突。

基于模糊评判的无线传感器网络簇间数据转发算法

由于无线传感器网络在簇间数据转发过程中消耗能量较大、转发效率低,导致数据在转发过程中容易失效。为此,提出基于模糊评判的无线传感器网络簇间数据转发算法。建立无线传感器网络模型和通信模型,明确节点的运行方式和转发数据所消耗的能量,构建模糊综合评判模型,选取梯形隶属度函数计算传感器节点的相似度和活跃度,找出最佳转发节点,完成数据转发任务。仿真结果表明,所提算法的第一个节点死亡轮数和网络失效轮数最高为167和178,在仿真轮数达到1000轮时,该算法剩余的网络能量和节点平均能量分别为4 J和0.01 J,证明所提算法在数据转发过程中可消耗最少的能量,高效率地完成数据转发任务。

喉鳞状细胞癌组织中ATF6和IFN-α的表达与临床病理特征及预后的相关性研究

目的 探讨转录激活因子6(activating transcription factor 6,ATF6)和干扰素α(interferon α,IFN-α)在喉鳞状细胞癌(laryngeal squamous cell carcinoma,LSCC)组织中的表达及意义。方法 选取2015年3月~2020年3月于河南科技大学临床医学院/河南科技大学第一附属医院入院治疗的100例LSCC患者,收集整理其肿瘤部位、分化程度、淋巴结转移等临床病理特征;采用免疫组织化学法检测组织中ATF6和IFN-α的表达;采用Spearman法分析LSCC组织中ATF6与IFN-α表达的相关性;用Kaplan-Meier法分析LSCC组织中ATF6,IFN-α表达与患者三年生存率的关系;采用COX回归分析LSCC患者一年死亡的影响因素。结果 ATF6在LSCC组织中阳性率(76.00%)明显高于癌旁正常组织(13.00%),IFN-α在LSCC组织中阳性率(29.00%)明显低于癌旁正常组织(74.00%),差异具有统计学意义(χ^(2)=80.352,40.536,均P<0.05);TNM分期为Ⅲ+Ⅳ期、浸润深度为深层、发生淋巴结转移的LSCC患者ATF6阳性表达比例均显著高于TNM分期为Ⅰ+Ⅱ期、浸润深度为浅层、未发生淋巴结转移的LSCC患者(χ^(2)=7.310,9.223,5.123,均P<0.05)。TNM分期为Ⅲ+Ⅳ期、浸润深度为深层、发生淋巴结转移的LSCC患者IFN-α阴性表达比例均显著高于TNM分期为Ⅰ+Ⅱ期、浸润深度为浅层、未发生淋巴结转移的LSCC患者(χ^(2)=8.564,5.021,5.203,均P<0.05);LSCC组织中ATF6与IFN-α表达具有负相关性(r=-0.415,P<0.05);ATF6阳性表达组LSCC患者三年生存率(50.00%)显著低于ATF6阴性表达组(83.33%),IFN-α阳性表达组LSCC患者三年生存率(82.76%)显著高于IFN-α阴性表达组(47.89%)(Log rank χ^(2)=8.002,10.854,均P<0.05)。ATF6(HR=1.735,95%CI:1.159~2.598),IFN-α(HR=0.624,95%CI:0.439~0.886)均是LSCC患者死亡的影响因素(P<0.05)。结论 LSCC组织中ATF6阳性表达率升高、IFN-α阳性表达率下降,均与患者临床病理特征及预后密切相关。

XIAP、Smac表达与乳腺癌新辅助化疗后腋窝阳性淋巴结病理完全缓解及预后的相关性

目的 探究抑制X染色体连锁的凋亡抑制蛋白(XIAP)、第二个线粒体衍生的半胱氨酸蛋白酶激活剂(Smac)表达与乳腺癌新辅助化疗(NACT)后腋窝淋巴结(ALN)阳性病理完全缓解(pCR)及预后的相关性。方法 选取2019年6月至2021年6月期间唐山市妇幼保健院收治的195例乳腺癌ALN阳性患者纳入乳腺癌组,所有患者均进行NACT,NACT前所有患者均进行活检穿刺取病灶组织。另同期选取195例经进行乳腺活检穿刺,且病理证实为良性乳腺结节的患者,纳入对照组。采用免疫组化法检测患者XIAP、Smac表达水平。根据乳腺癌患者NACT疗效分为pCR组及非pCR组,收集患者临床资料,采用单因素和多因素Logistic回归模型分析NACT后ALN阳性患者非pCR的影响因素,采用Kaplan Meier法分析不同XIAP、Smac表达情况患者的生存预后情况。结果 乳腺癌组病灶组织XIAP低表达占比低于对照组,Smac低表达高于对照组(P<0.05);195例患中72例患者NACT后pCR,pCR发生率为36.92%;非pCR组AJCCⅢ期、原发病灶直径>3.5 cm、ALN数量≥4个、ALN pN1~pN2期、XIAP高表达及Smac低表达占比均高于pCR组(P<0.05);Logistic回归分析模型结果显示,AJCCⅢ期、ALN数量≥4个、ALN pN1~pN2期、XIAP高表达及Smac低表达是乳腺癌患者NACT后ALN阳性非pCR的独立危险因素(P<0.05,OR>1);乳腺癌患者随访时间12~36个月,中位随访时间26个月,Kaplan Meier生存分析显示,XIAP低表达者3年累积生存率为94.9%,高于XIAP高表达者的90.4%(Log rank χ^(2)=4.931,P=0.026);Smac低表达者3年累积生存率为89.8%,低于Smac高表达的94.0%(Log rank χ^(2)=4.534,P=0.033)。结论 乳腺癌ALN阳性患者组织中XIAP异常高表达,Smac异常低表达,XIAP高表达及Smac低表达是乳腺癌患者NACT后ALN阳性非pCR的独立危险因素,XIAP低表达、Smac高表达患者生存率更高,预后更好。

川崎病合并支原体感染病儿瓣膜炎性损伤与IL-6/STAT3信号通路表达变化的关系分析

目的探讨川崎病(KD)合并支原体感染病儿瓣膜炎性损伤与白细胞介素-6(IL-6)/信号转导及转录激活蛋白3(STAT3)信号通路表达变化的关系。方法前瞻性选取2018年1月至2022年12月安阳市妇幼保健院收治的50例KD合并肺炎支原体(MP)(KD-MP)感染病儿为感染组,另选取同期收治的106例单纯KD病儿为未感染组,比较感染组与未感染组病儿瓣膜炎性损伤情况。再根据KD病儿是否伴有冠状动脉损伤(CAL)损伤分为CAL组(n=84)、无CAL组(n=72),比较两组病儿IL-6和STAT3表达水平,通过多因素logistic回归分析KD病儿发生CAL的危险因素。比较KD并CAL不同预后病儿IL-6和STAT3表达变化,使用受试者操作特征曲线(ROC曲线)分析IL-6、STAT3水平对KD并CAL病儿预后的预测价值。结果感染组KD病儿发热时间、住院时间、初诊CAL发生率均高于未感染组(P<0.05);感染组KD病儿C反应蛋白(CRP)、降钙素原(PCT)、红细胞沉降率(ESR)、IL-6 mRNA表达水平和STAT3 mRNA表达水平均高于未感染组[(51.32±12.62)mg/L比(36.58±10.98)mg/L,(1.33±0.35)μg/L比(1.21±0.31)μg/L,(84.69±15.66)mm/h比(49.62±16.43)mm/h,4.14±1.09比3.06±1.15,2.81±0.89比1.68±0.54,均P<0.05]。CAL组病儿IL-6、STAT3 mRNA表达水平高于无CAL组(4.13±1.22比2.56±0.87,2.46±0.71比1.55±0.44,均P<0.05);多因素回归分析结果显示,MP感染、IL-6 mRNA、STAT3 mRNA表达是KD病儿发生CAL的独立危险因素(均P<0.05)。KD并CAL预后良好组病儿IL-6、STAT3 mRNA表达水平低于预后不良组(3.57±1.06比4.57±1.13,1.94±0.58比2.87±0.87,均P<0.05),ROC曲线结果显示IL-6、STAT3及其联合预测KD并CAL预后的曲线下面积(AUC)分别为0.75、0.81、0.91,且联合检测的AUC高于IL-6、STAT3单独检测(均P<0.05)。结论KD合并MP病儿瓣膜炎性损伤更为严重,IL-6/STAT3信号通路活化是其危险因素,且该信号通路对KD并CAL病儿预后有较高的预测价值。

考虑节点功率储备与GIN中心性的主动配电网动态集群电压控制

为应对大规模分布式光伏(photovoltaic,PV)接入引起的主动配电网电压越限问题,降低控制策略的时序复杂性,提出一种考虑节点功率储备与节点影响力(global importance of each node,GIN)的主动配电网动态集群电压控制方法。首先,通过考虑系统各节点的功率储备度,定义聚类算法的电压灵敏度-功率储备度(voltage sensitivity-power reserve,VS-PR)综合电气距离量度。进而,以GIN算法改进亲和力传播(affinity propagation,AP)聚类算法,实现网络集群划分与主导节点选取。然后,建立主动配电网集群电压控制模型,并通过动态粒子群算法(dynamic particle swarm optimization,D-PSO)进行模型求解。最后,通过建立基于MATLAB 2021b平台的IEEE 33节点仿真算例对比分析,验证了所提动态集群划分与电压控制方法的正确性和有效性。

MULTI-AGENT TRACKING OF A HIGH-DIMENSIONAL ACTIVE LEADER WITH SWITCHING TOPOLOGY

This paper considers a multi-agent tracking problem for a high-dimensional active leaderand variable interconnection topology. The state of the leader not only keeps changing but also maynot be measured. To estimate the state such a leader individually, a neighbor-based local controllertogether with a neighbor-based state-estimation rule is given for each autonomous agent. Then, theauthors prove that, with the help of a constructed common Lyapunov function (CLF), each agent cantrack the active leader with unmeasurable states. Finally, the authors explicitly construct a CLF foran active leader with unknown periodic input for illustration.

具有活跃节点的多层网络作用下时滞SEQS模型分析

疾病传播的研究使得对疫情分布和发展的预测更为准确。现有的疾病传播模型对不同城市间流动人口对疾病传播造成的影响研究较少,为此,该文提出了具有活跃节点的多层网络作用下的时滞SEQS(Susceptible-Exposed-Quarantined-Susceptible)模型。其中,时滞SEQS重点研究疾病潜伏期、恢复期及恢复后可再次感染等特性对传播行为的影响,模型中每层静态网络表示不同城市的社交网络,活跃节点表示城市间流动人口,活跃节点的存在使得该多层网络具有时变性,同时模型引入检测机制,以隔离态节点为中心,对在其检测半径内的邻接节点进行检测。研究表明,该模型的传播行为最终演化状态存在3种主要模式:稳态、周期性振荡和非周期性振荡,在能有效降低疾病传染率的情况下,划定精准检测范围可有效控制疾病大规模传播。