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Immune reaction characteristics and the mechanism of anergy induced by recombinant enterotoxin a of Staphylococcus aureus
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作者 Shang Wu Renli Zhang +4 位作者 Dana Huang Yijie Geng Shitong Gao Xiaoheng Li Zhangli Hu 《Journal of Biomedical Science and Engineering》 2010年第6期543-549,共7页
To study immune reactions and the mechanism of anergy induced by recombinant enterotoxin A (rSEA) of Staphylococcus aureus. The gene encoding SEA was cloned from standard strain of S. aureus and high efficiently expre... To study immune reactions and the mechanism of anergy induced by recombinant enterotoxin A (rSEA) of Staphylococcus aureus. The gene encoding SEA was cloned from standard strain of S. aureus and high efficiently expressed in E. coli. After immunization with purified rSEA, mice were examined for production of specific antibody, subtype of IgG, cytokine mRNA levels such as IFN-γ, IL-2 secretion and T-cell surface PD-1 expression. Results showed that high levels of specific antibodies were produced in two weeks of primary immunization shot. During this time, humoral immune reactions prevailed (IgG2a/ IgG1 【1). During the early phase, Th1 type cytokine mRNA is expressed at a higher level than Th2 type, indicating cellular immune reaction prevailed. Splen- ocyte IFN-γ secretion was significantly decreased after boosting immunization. The PD-1 expression was detected by a flow cytometry examination in the surface of T- lymphocytes which were induced by rSEA, and the expression of PD-1 molecules increased along with the number of boosting and the time after immunization. 展开更多
关键词 STAPHYLOCOCCUS AUREUS ENTEROTOXIN A im- mune Respose
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一种基于人工免疫系统的聚类算法 被引量:14
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作者 刘韬 王耀才 王致杰 《计算机工程与设计》 CSCD 2004年第11期2051-2053,共3页
根据数据分析中聚类判断所遵循的原则,模拟抗体捕获抗原的机制,提出了一种基于人工免疫系统的聚类算法,最终可以获得全局最优解,并且具有本质上的并行性、计算效率高和聚类能力强等优点。
关键词 人工免疫系统 聚类算法 并行性 捕获 数据分析 全局最优解 模拟 抗原 抗体 机制
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采用主流FPGA的数字电路在线生长进化方法 被引量:6
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作者 姚睿 于盛林 +2 位作者 王友仁 高桂军 张砦 《南京航空航天大学学报》 EI CAS CSCD 北大核心 2007年第5期582-587,共6页
采用主流FPGA器件构建了在线进化平台,提出了一种适合较大规模数字电路在线进化的生长进化方法。该方法模拟植物生长机理进化以解决进化速度缓慢问题,采用增长验证评估方法取代传统的穷举式验证评估方法来解决在线验证评估难题;应用免... 采用主流FPGA器件构建了在线进化平台,提出了一种适合较大规模数字电路在线进化的生长进化方法。该方法模拟植物生长机理进化以解决进化速度缓慢问题,采用增长验证评估方法取代传统的穷举式验证评估方法来解决在线验证评估难题;应用免疫遗传算法克服遗传算法的早熟收敛问题;采用多参数级联十进制整数编码方法缩短染色体长度;采用生长进化方法成功地进化出了16位加法器和8位乘法器。对比实验结果表明,采用生长进化方法无论是进化出的电路规模,还是进化速度均优于传统的直接进化方法。 展开更多
关键词 进化硬件 生长进化 数字电路 在线验证评估 免疫遗传算法
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一种基于人工免疫系统的聚类算法 被引量:7
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作者 刘韬 王耀才 王致杰 《计算机工程与应用》 CSCD 北大核心 2004年第19期182-184,共3页
该文根据数据分析中聚类判断所遵循的原则,模拟抗体捕获抗原的机制,提出了一种基于人工免疫系统的聚类算法。该方法最终可以获得全局最优解,并且具有本质上的并行性、计算效率高、聚类能力强等优点。
关键词 数据挖掘 人工免疫系统 聚类 算法
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基于免疫算法的多匝道MF-AILC控制方法 被引量:3
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作者 赵忠杰 周林英 王英伟 《系统仿真技术》 2009年第1期40-44,54,共6页
针对高速公路交通系统的重复性和周期性,提出基于免疫算法的高速公路多匝道无模型自适应迭代学习控制(MF-AILC)联合协调控制,以高速公路最大流量、全局最小行程时间和入口平均等待时间三者为目标函数,用免疫算法对多匝道协调迭代学习控... 针对高速公路交通系统的重复性和周期性,提出基于免疫算法的高速公路多匝道无模型自适应迭代学习控制(MF-AILC)联合协调控制,以高速公路最大流量、全局最小行程时间和入口平均等待时间三者为目标函数,用免疫算法对多匝道协调迭代学习控制器进行优化。仿真结果表明,与无控制情况下进行比较,该控制方法具有良好的控制效果和较强的鲁棒性。 展开更多
关键词 高速公路 多匝道 联合控制 无模型自适应迭代学习控制 免疫算法
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多目标系统最优控制方法研究 被引量:1
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作者 杜振华 谌海云 +1 位作者 曾欢 石明江 《航天控制》 CSCD 北大核心 2014年第5期3-10,15,共9页
用多个性能指标评价系统更有实际意义,但在现有的研究中,针对此类问题所采取的方法通常是线性加权,权值是人为选取以达到"最优",这就使得"最优"控制成为主观最优而非数值实际最优。本文针对这一问题,结合决策者先... 用多个性能指标评价系统更有实际意义,但在现有的研究中,针对此类问题所采取的方法通常是线性加权,权值是人为选取以达到"最优",这就使得"最优"控制成为主观最优而非数值实际最优。本文针对这一问题,结合决策者先验知识的多少,给出2种新的解决方法:层次分析和Pareto交互式决策。首次采用免疫克隆选择多目标优化算法来设计多指标情况下的LQR控制器。仿真结果表明:该算法在时间复杂度、分布性等方面均优于现在常用的NSGA-II,且本文给出的解决方法更适合于复杂情况下的最优控制器设计。 展开更多
关键词 多目标系统 最优控制 层次分析法 交互式决策 免疫克隆选择多目标优化算法
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基于免疫粒子群算法的应急物流配送车辆调度研究 被引量:1
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作者 曹庆奎 李良飞 任向阳 《物流科技》 2014年第11期1-3,11,共4页
以应急物流为背景,通过分析应急物流车辆调度问题的特点,在满足时间限制条件的基础上充分考虑车辆的载重和体积的限制,建立以运输距离最短和运输车辆最少的双目标车辆调度模型,并用免疫粒子群算法实现对模型的求解,来验证模型和算法的... 以应急物流为背景,通过分析应急物流车辆调度问题的特点,在满足时间限制条件的基础上充分考虑车辆的载重和体积的限制,建立以运输距离最短和运输车辆最少的双目标车辆调度模型,并用免疫粒子群算法实现对模型的求解,来验证模型和算法的可行性和有效性。 展开更多
关键词 应急物流 车辆调度 免疫粒子群算法
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基于加权变异免疫算法的微钙化点特征选择
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作者 杨铁军 吴效明 《计算机应用研究》 CSCD 北大核心 2008年第11期3302-3304,共3页
给出了一种乳腺X线照片微钙化点的特征选择方法,该方法运用基于加权变异算子的免疫算法进行特征优选。加权变异算子能够动态调整抗体各部位的变异率,在高亲和力抗体的邻近小范围搜索,在低亲和力抗体的周围跳跃式搜索;为了与支持向量机... 给出了一种乳腺X线照片微钙化点的特征选择方法,该方法运用基于加权变异算子的免疫算法进行特征优选。加权变异算子能够动态调整抗体各部位的变异率,在高亲和力抗体的邻近小范围搜索,在低亲和力抗体的周围跳跃式搜索;为了与支持向量机的分类准则保持一致性,该免疫算法在特征空间中通过核函数计算亲和力。实验使用该方法对微钙化点的20种常用特征进行选择,其结果与经验特征集基本相符但更精简,提高了计算效率,是一种可行的特征选择方法。 展开更多
关键词 免疫算法 加权变异 微钙化点 特征选择 乳房X线照片
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Immediate effects of scalp acupuncture with twirling reinforcing manipulation on hemiplegia following acute ischemic stroke: a hidden association study 被引量:31
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作者 Xiao-zheng Du Chun-ling Bao +1 位作者 Gui-rong Dong Xu-ming Yang 《Neural Regeneration Research》 SCIE CAS CSCD 2016年第5期758-764,共7页
Data mining has the potential to provide information for improving clinical acupuncture strategies by uncovering hidden rules between acupuncture manipulation and therapeutic effects in a data set. In this study, we p... Data mining has the potential to provide information for improving clinical acupuncture strategies by uncovering hidden rules between acupuncture manipulation and therapeutic effects in a data set. In this study, we performed acupuncture on 30 patients with hemiplegia due to acute ischemic stroke. All participants were pre-screened to ensure that they exhibited immediate responses to acupuncture. We used a twirling reinforcing acupuncture manipulation at the specific lines between the bilateral Baihui(GV20) and Taiyang(EX-HN5). We collected neurologic deficit score, simplified Fugl-Meyer assessment score, muscle strength of the proximal and distal hemiplegic limbs, ratio of the maximal H-reflex to the maximal M-wave(Hmax/Mmax), muscle tension at baseline and immediately after treatment, and the syndromes of traditional Chinese medicine at baseline. We then conducted data mining using an association algorithm and an artificial neural network backpropagation algorithm. We found that the twirling reinforcing manipulation had no obvious therapeutic difference in traditional Chinese medicine syndromes of "Deficiency and Excess". The change in the muscle strength of the upper distal and lower proximal limbs was one of the main factors affecting the immediate change in Fugl-Meyer scores. Additionally, we found a positive correlation between the muscle tension change of the upper limb and Hmax/Mmax immediate change, and both positive and negative correlations existed between the muscle tension change of the lower limb and immediate Hmax/Mmax change. Additionally, when the difference value of muscle tension for the upper and lower limbs was 〉 0 or 〈 0, the difference value of Hmax/Mmax was correspondingly positive or negative, indicating the scalp acupuncture has a bidirectional effect on muscle tension in hemiplegic limbs. Therefore, acupuncture with twirling reinforcing manipulation has distinct effects on acute ischemic stroke patients with different symptoms or stages of disease. Improved muscle tension in the upper and lower limbs, reflected by the variation in the Hmax/Mmax ratio, is crucial for recovery of motor function from hemiplegia. 展开更多
关键词 nerve regeneration traditional Chinese medicine needling reinforcing manipulation hemiplegia due to acute ischemic stroke im- mediate effect association algorithm artificial neural network algorithm neurological deficit score simplified Fugl-Meyer assessment Hmax/Mmax traditional Chinese medicine syndromes scalp acupoints neural regeneration
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Hybrid immunizing solution for job recommender system 被引量:4
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作者 Shaha AL-OTAIBI Mourad YKHLEF 《Frontiers of Computer Science》 SCIE EI CSCD 2017年第3期511-527,共17页
Two traditional recommendation techniques, content-based and collaborative filtering (CF), have been widely used in a broad range of domain areas. Both meth- ods have their advantages and disadvantages, and some of ... Two traditional recommendation techniques, content-based and collaborative filtering (CF), have been widely used in a broad range of domain areas. Both meth- ods have their advantages and disadvantages, and some of the defects can be resolved by integrating both techniques in a hybrid model to improve the quality of the recommendation. In this article, we will present a problem-oriented approach to design a hybrid immunizing solution for job recommen- dation problem from applicant's perspective. The proposed approach aims to recommend the best chances of opening jobs to the applicant who searches for job. It combines the artificial immune system (AIS), which has a powerful explo- ration capability in polynomial time, with the collaborative filtering, which can exploit the neighbors' interests. We will discuss the design issues, as well as the hybridization process that should be applied to the problem. Finally, experimental studies are conducted and the results show the importance of our approach for solving the job recommendation problem. 展开更多
关键词 CONTENT-BASED collaborative filtering (CF) hy- bridization computational intelligence (CI) artificial im- mune system (AIS) clonal selection correlation-based simi- larity
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