ID 原文 译文
53057 组间统计结果表明，3种面孔搜索任务下HTA组额叶与颞叶节点度值均明显大于LTA组的值， The statistical analysis between groups shows that the node degrees of frontal and temporal lobe in HTA group are significantly larger than those in LTA group under the three face search tasks.
53058 尤其是愤怒面孔搜索任务下二组的差异更加明显(P <0. 001); In particular, the difference between the HTA and LTA groups is more obvious(P <0. 001) under the angry face search task.
53059 愤怒面孔搜索任务下，HTA组被试的节点属性参数及整体属性参数均与LTA组有显著差异， Both the node attribute parameters and the overall attribute parameters of the HTA group are significantly different from those of the LTA group under the anger face search task,
53060 而高兴面孔和中性面孔搜索任务下，HTA组被试仅节点属性参数与LTA组有显著差异，整体属性参数无显著差异。 while there is significant difference only in node attribute parameters(not in the overall attribute parameters) between the HTA and LTA groups under happy and neutral face search tasks.
53061 以上结果表明，HTA个体对情绪信息(尤其是负性情绪信息)更加敏感，其神经机制可能与额、颞叶活动及脑网络信息传输能力异常增强有关。 As a result, HTA individuals are sensitive to emotional(especially negative emotional) information, the neural mechanism may be related to enhanced activity of frontal and temporal lobes and enhanced activity of brain network information transmission.
53062 本研究从脑网络水平探讨了 HTA个体情绪认知的脑功能特点，可为焦虑症、抑郁症等精神障碍的认知功能神经机制研究提供新视角。 This study explores the brain function characteristics of emotional cognition in HTA individuals from the level of brain network, which can provide a new perspective for revealing the cognitive neural mechanism of mental disorders such as anxiety disorder and depression.
53063 随着互联网用户数量的迅速增长，Web服务面临着巨大的访问压力，对Web服务器持续提供服务提出了更高的要求。 With the development of information technology and exploding of the number of Internet users, Web services are facing huge access pressure, which puts forward higher requirements for Web servers to provide services continuously.
53064 当负载过重时可能会导致服务器宕机等严重状况，从而影响Web服务器对用户HTTP请求的响应，进而影响服务质量，因此Web服务器集群需要更好地响应用户请求。 Web server overloading can lead to serious conditions such as server downtime, which can affect the response to the users' HTTP requests and thus impacting the quality of experience.
53065 本文提出了一种基于用户体验的动态负载均衡算法(QRFS)，在保证用户满意度的前提下，兼顾服务器的负载和请求调度的公平性。 A quality of experience-based request fair scheduling(QRFS) algorithm is proposed, which gives consideration of different types of requests and users' priority, with the goal of ensuring user satisfaction and achieving good fairness and requests distribution among server nodes.
53066 实验表明，QRFS算法能够获得更好的用户满意度。 Experiments show that QRFS achieves better user satisfaction than the weighted round robin(WRR) algorithm and the weighted least connection(WLC) algorithm.