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【目的】探讨口服益生菌能否改善铝暴露诱发的小鼠海马炎症。【方法】通过给予小鼠口服氯化铝，建立海马炎症模型，将24只8周龄雄性小鼠C57BL/6随机分成对照（CON）组、氯化铝处理（Al）组、益生菌处理（PO）组和联合处理（Al+PO）组，每组各6只，分别持续给予口服氯化铝和（或）益生菌6周。海马神经炎症的评估，采用免疫荧光染色法检测小鼠海马组织中激活的小胶质细胞（Iba-1+/CD68+）数量以及脑源性神经营养因子（BDNF）的表达量，酶联免疫吸附测定法检测血清和海马组织中白介素-1β（IL-1β）和肿瘤坏死因子-α（TNF-α）的含量。【结果】免疫荧光染色法研究结果显示：与CON组相比，Al组海马组织中Iba-1+/CD68+细胞数量显著增加（

Copyright of Computer Measurement & Control is the property of Magazine Agency of Computer Measurement & Control and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Shanghai Jiao Tong University (1006-2467) is the property of Journal of Shanghai Jiao Tong University Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Basic Sciences Journal of Textile Universities / Fangzhi Gaoxiao Jichu Kexue Xuebao is the property of Basic Sciences Journal of Textile Universities and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Chongqing University of Posts & Telecommunications (Natural Science Edition) is the property of Chongqing University of Posts & Telecommunications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to solve the problem that the results of the gate reassignment algorithm can’t meet habits of different operators, this paper proposed a method that accords with the actual operators’ operating habits. Firstly, this paper established the spatial model of decision-making environment by using flights characteristics and occupancy of gate resources. The model transforms manual operating data into a multi-channel time-space matrix. Then, make use of CNN-based generative adversarial network to match the order decision-making operation strategy. The simulation results show that actions with reliability scores of more than 90% account for up to 84.4%. The model has a good ability to distinguish the operation data from 3 different operators. Compared with dynamic adjustment result under perturbance, this algorithm can obtain an adjustment scheme whose flight-gate attribute characteristics are closer to the original manual operation. [ABSTRACT FROM AUTHOR]

Copyright of Computer Measurement & Control is the property of Magazine Agency of Computer Measurement & Control and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

To solve the imbalance problem of resource allocation of each link in the ground support process of transit flights, a support process equilibrium optimization model was proposed based on the systematic analysis of link business characteristics and equilibrium influencing elements. The link start time and resource usage were considered to constrain the priority and operation mode for good applicability. Based on the optimization objectives of minimizing the effective deviation, total operation time and comprehensive resource consumption of the links, a model objective function was established to measure the resource balance of each link in the support process. By NSGA-II algorithm with improved chaos and differential evolution, the optimization scheme of the constructed model was solved and designed with the actual operation data of a hub airport in central China. To verify the effectiveness of the model, the optimization scheme was evaluated based on the equilibrium evaluation index. The results show that the equilibrium optimization model is effective in terms of time utilization and resource allocation, and the total operating time is reduced by 10.6% with saving 30.3% of the total amount of idle resources. The evaluation shows that the equilibrium rate is increased by 10.7%, and the time loss coefficient and the resource smoothing coefficient are reduced by 65.7% and 54.7%, respectively. [ABSTRACT FROM AUTHOR]

To solve the problem that the influencing factors of the airport bus operation process are complicated and the operation time is difficult to predict, this paper established an airport bus operation time prediction model based on the subspace identification algorithm. Firstly, based on the multi-source big data generated during the operation process, considering the number of passengers, departure interval, road congestion and other factors at different times, it established the state space model of the airport bus operation. Then it extracted the characteristic variables suitable for describing the operation process of the airport bus as the input and output of the model,and solved the model by subspace identification method. Finally,this paper took an actual operating route of the capital airport bus as a case for simulation analysis. The calculation results show that the mean absolute percentage error and mean square error of the model are 2. 25% and 4. 77, respectively, which are better than the traditional BP neural network prediction model and the least square identification model. The model has good prediction accuracy and has certain practical application value. [ABSTRACT FROM AUTHOR]

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Basic Sciences Journal of Textile Universities / Fangzhi Gaoxiao Jichu Kexue Xuebao is the property of Basic Sciences Journal of Textile Universities and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Harbin Institute of Technology. Social Sciences Edition / Haerbin Gongye Daxue Xuebao. Shehui Kexue Ban is the property of Harbin Institute of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Basic Sciences Journal of Textile Universities / Fangzhi Gaoxiao Jichu Kexue Xuebao is the property of Basic Sciences Journal of Textile Universities and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

目的：观察输血质量控制体系的应用对临床输血质量的影响。方法选择2013年1～12月河北省胸科医院实施输血质量控制体系后收治的输血患者125例（观察组），2012年1～12月该院实施输血质量控制体系前收治的输血患者119例（对照组）。记录两组输注各成分血及全血用量，计算成分输血率以及输血标本采集正确率、申请单填写准确率、输血指征符合率、输血过程记录完整率、配血报告单完整率等输血质量监控指标。结果观察组输注成分血9182 U、全血1 U，成分输血率为99．99％；对照组输注成分血8642．75 U、全血4 U，成分输血率为99．95％；两组成分输血率比较，P＞0．05。观察组和对照组输血标本采集正确率分别为96．0％、80．7％，申请单填写准确率分别为89．6％、70．6％，输血指征符合率分别为90．4％、68．9％，输血过程记录完整率分别为91．2％、82．4％，配血报告单完整率分别为99．2％、89．1％；两组比较，P均＜0．05。结论在医院标准化管理过程中实施输血质量控制体系可提高临床输血质量。 [ABSTRACT FROM AUTHOR]