Review of Growing old: The ultimate freedom.

Reviews the book, Growing old: The ultimate freedom by Maxwell Jones (see record 1989-97554-000). Jones has written a small thoughtful book on the problems and possibilities of being old. Growing old, in Jones's view, gives one the freedom to do things that have been sacrificed to the necessities of one's career. Jones knows that one must enjoy a certain standard of living to have the luxury to use old age to search for the meaning of life; many have to occupy their years--the late as well as the early ones--with daily survival. He is also frank about the psychological problems associated with growing old. Jones advocates finding or creating a social network of people with whom one can share deep fears and intellectual passions. Throughout the five chapters of his brief book, Jones emphasizes the need for a supportive network as one confronts the increasing isolation of old age. The significance of this book lies not in the particular preoccupations of Max Jones's own old age, but in his observations that age grants us the freedom to chart the tantalizing wilderness we left aside while we spent our working lives on more immediate problems. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

A deep learning approach for predicting critical events using event logs

Event logs, comprising data on the occurrence of different types of events and associated times, are commonly collected during the operation of modern industrial machines and systems. It is widely believed that the rich information embedded in event logs can be used to predict the occurrence of critical events. In this paper, we propose a recurrent neural network model using time-to-event data from event logs not only to predict the time of the occurrence of a target event of interest, but also to interpret, from the trained model, significant events leading to the target event. To improve the performance of our model, sampling techniques and methods dealing with the censored data are utilized. The proposed model is tested on both simulated data and real-world datasets. Through these comparison studies, we show that the deep learning approach can often achieve better prediction performance than the traditional statistical model, such as, the Cox proportional hazard model. The real-world case study also shows that the model interpretation algorithm proposed in this work can reveal the underlying physical relationship among events.     

乳酸菌抗湿热保护剂的研究

研究了在湿热环境下8种物质对嗜热链球菌和保加利亚乳杆菌的存活率的影响。结果表明：脱脂奶粉，甘油，蔗糖，葡萄糖，海藻酸钠是较好的抗湿热保护剂，而且复配保护剂效果优于单一保护剂。     

带干扰的广义复合poisson风险模型下的生存概率

首先将 [5 ]的广义复合Poisson风险模型推广到带有干扰的一种新模型 ,然后进一步讨论了当个体索赔服从伽玛分布时在此新模型下有限时间内的生存概率所满足的表达式     

癌基因DEK蛋白表达判断肺鳞状细胞癌预后的临床价值

为了探讨癌基因DEK蛋白在肺鳞癌中的表达及预后评估价值,应用免疫组化染色检测96例肺鳞癌及其癌旁正常组织中DEK蛋白的表达,结合临床生物学指标及生存时间进行统计学分析。结果发现,肺鳞癌组织中DEK蛋白阳性表达率为45.83%,明显高于癌旁正常组织（15.73%,P=0.001）,DEK蛋白在肺鳞癌中的表达与肿瘤大小（P=0.008）、组织分化程度（P=0.004）及病理学分期（P=0.011）密切相关;癌组织中DEK蛋白的阳性率与患者总生存期明显相关,且与病理分期、CEA水平和转移共同影响患者预后;DEK是肺鳞癌不良预后的独立风险因子。得出结论：检测肺鳞癌组织中DEK蛋白的表达对其预后有一定的临床评估价值,有望成为肺鳞癌新的预后生物标志物。     

Ezrin低表达与肺鳞状细胞癌患者预后之间的关系

为了探讨癌基因Ezrin蛋白表达在肺鳞癌中的预后意义,应用免疫组化染色检测了96例肺鳞癌及其癌旁正常肺组织中Ezrin蛋白的表达,并结合临床生物学指标及生存时间进行统计学分析。结果显示:肺鳞癌、癌旁正常组织中Ezrin蛋白阳性表达率分别为41.67%和91.67%,癌组织中Ezrin蛋白阳性表达率明显低于癌旁正常组织(P<0.01),Ezrin蛋白在肺鳞癌中的阴性表达与肿瘤大小(P<0.05)、组织分化程度(P<0.05)、病理学分期(P<0.01)、是否有转移(P<0.01)密切相关,且癌组织中Ezrin蛋白的阴性率与患者5年生存率明显相关(P<0.01);Ezrin蛋白阴性表达(HR:0.292,95%CI:0.141～0.606,P=0.001)、病理学分期和转移是肺鳞癌预后不良的独立风险因素。得出结论:检测肺鳞癌组织中Ezrin蛋白的表达对其诊断及预后评估有重要价值,有望成为肺鳞癌新的生物标志物及靶向治疗的分子靶点。     

低顶驾驶室顶部强度试验的数值研究及验证

为验证一款低顶驾驶室的顶部强度和生存空间是否满足GB 26512—2011《商用车驾驶室乘员保护》法规的要求,建立了相应的有限元模型和假人模型,并按该标准的规定进行了顶部强度的试验仿真分析,获得了驾驶室变形情况和驾驶员生存空间变化情况,并与实车试验结果进行了对比。结果表明:该低顶驾驶室强度能够满足GB 26512—2011顶部强度试验要求并能够保证驾驶员的生存空间要求,且仿真结果与实车试验结果符合良好。     

高校学生语言表达能力的培养

语言表达能力是当代大学生应该具备的必备素质,但目前高校学生在人际交往中普遍存在如下问题：语言表达缺乏分寸,说话不得体;语言表达假话、大话、套话多;语言表达不注意对象、忽视礼节等。高校学生应该清楚地认识到培养语言表达能力势在必行,在人际交往中依据交谈对象的身份和地位选择说话的内容、措辞和语气,要针对交谈对象的年龄和性格特点进行语言表达,交谈中还应考虑对方地域和职业的差异,根据交谈对象的文化程度选用不同的说话方式。     

当代文学作品中农民工融入城市的生存困境

当代文学的农民工题材作品揭示出特定时代的文学创作状况与当时社会变迁之间纷繁复杂的联系。在众多的作品中,作家 通过展现转型时期农民工精神与肉体的创伤及女性农民工遭受的性别歧视,将农民工进入城市后的游离、挣扎、伤痛等复杂心态 展现地淋漓尽致。通过文学作品对农民工生存困境的审视和关照,反思农民工所受创伤背后的文化现象,寄予弱势群体最诚挚的 人文关怀,彰显作家借助文学关注社会、关注人的价值理念。     

基于凸策略优胜劣汰蚁群算法的机器人路径规划

针对机器人在已知静态工作环境中运动路径的快速选择和判优, 提出一种改进蚁群优化算法. 该算法首先对机器人的静态工作空间进行凸策略处理, 从环境上降低了搜索的盲目性和落入陷阱的可能性, 并在此基础上加入一种优胜劣汰策略, 进一步提高了算法的时间性能、最佳性能和鲁棒性. 实验结果表明改进的蚁群优化算法不仅克服了易于陷入局部最优解及运算量大的缺陷, 而且也大幅度提高了算法的运算效率.