基于异步条件下的笔+触控双手交互点击任务人类工效学模型的建立与研究

目的建立与研究基于异步条件下的笔+触控双手交互点击任务人类工效学模型。方法通过18名实验者对于10种不同任务复杂度下的一维异步笔+触控双手点击任务所花费的任务时间进行单因素方差分析以及线性分析,证明该模型的有效性和适用性。结果通过实验我们发现该模型所计算出的任务复杂度对任务时间具有显著影响(F_(9,170)=6.276,P=1.202×10~(-7)),并且该模型调整后的拟合度R~2达到了0.973。结论该模型对于异步条件下的笔+触控双手点击任务具有很强的有效性和适用性。     

Mutation analysis of the MEN1 gene in multiple endocrine neoplasia type 1, familial acromegaly and familial isolated hyperparathyroidism

Multiple endocrine neoplasia type 1 (MEN 1) is an autosomal dominant disease characterized by neoplasia of the parathyroid glands, the endocrine pancreas, and the anterior pituitary gland. In addition, families with isolated endocrine neoplasia, notably familial isolated hyperparathyroidism (FIHP) and familial acromegaly, have also been reported. However, whether these families constitute MEN 1 variants or separate entities remains speculative as the genetic bases for these diseases are unclear. The gene for MEN 1 has recently been cloned and characterized. Using single strand conformation analysis (SSCA) and sequencing, we performed mutation analysis in: a) a total of 55 MEN 1 families from 7 countries, b) 13 isolated MEN 1 cases without family history of the disease, c) 8 acromegaly families, and d) 4 FIHP families. Mutations were identified in 27 MEN 1 families and 9 isolated cases. The 22 different mutations spread across most of the 9 translated exons and included frameshift (11), nonsense (6), splice (2), missense mutations (2), and in-frame deletions (1). Among the 19 Finnish MEN 1 probands, a 1466del12 mutation was identified in 6 families with identical 11q13 haplotypes and in 2 isolated cases indicating a common founder. One frameshift mutation caused by 359del4 (GTCT) was found in 1 isolated case and 4 kindreds of different origin and haplotypes; this mutation therefore represents a common "warm" spot in the MEN1 gene. By analyzing the DNA of the parents of an isolated case one mutation was confirmed to be de novo. No mutation was found in any of the acromegaly and small FIHP families, suggesting that genetic defects other than the MEN1 gene might be involved and that additional such families need to be analyzed.     

Body thiamine level in acute alcohol psychoses

PURPOSE: To compare admission data and academic performances of medical students younger and older than 25, and to qualify older students' experiences and perceptions in medical school. METHOD: The authors reviewed 1988-1991 data for applications to the McGill University Faculty of Medicine. Data included GPAs and MCAT scores, as well as ratings for reference letters, autobiographical statements, and interviews. For those same years, the authors measured students' academic performances in the preclinical and clinical years. The authors compared the data by students' age: "younger" students, aged 17 to 24; and "older" students, aged 25 and above. All enrolled students took the Derogatis Stress Profile, and the older students participated in focus groups. RESULTS: The older applicants had lower GPAs and MCAT scores, but higher interview and reference letter ratings. For older accepted students, basic science course scores were lower than those of younger students, but clinical scores did not differ significantly between the groups. The two groups had similar stress levels, although older students tested lower in driven behavior, relaxation potential, attitude posture, and hostility. In focus groups, the older students spoke of learning style differences, loss of social support, and loss of professional identity. CONCLUSION: Different scores in admission criteria suggest that McGill uses different standards to select older medical students. Older students admitted under different criteria, however, do just as well as do younger students by their clinical years. A broad-based study of admission criteria and outcomes for the older student population is warranted.     

神经网络极速学习方法研究进展

神经网络已经在模式识别、自动控制及数据挖掘等领域取得了广泛的应用,但学习方法的速度不能满足实际需求。传统的误差反向传播方法(BP)主要是基于梯度下降的思想,需要多次迭代;网络的所有参数都需要在训练过程中迭代确定,因此算法的计算量和搜索空间很大。ELM(Extreme Learning Machine,ELM)是一次学习思想使得学习速度提高很多,避免了多次迭代和局部最小值,具有良好的泛化性能、鲁棒性与可控性。但对于不同的数据集和不同的应用领域,无论ELM是用于数据分类或是回归,ELM算法本身还是存在问题,所以本文对已有方法深入对比分析,并指出极速学习方法未来的发展方向。     

磁能驱动微型泵的性能研究

在电磁驱动原理的基础上,设计并研制了一种磁能驱动的微型泵。微型泵的整体尺寸约为Φ11mm×4mm,腔室半径为5mm,深2mm。利用方差分析方法对实验数据进行了检验,验证了前期微型泵研究中获得的性能参数的正确性。为了进一步缩小微型泵体积、简化控制方式和外围电路,针对微型泵的能源部分,开展了单双电源的对比实验研究,并获得了较好的实验结果。     

基于CAN总线的智能远程温度开关设计

针对多点温度远程控制问题,设计具有CAN总线通信、键盘输入和数显功能的智能远程温度开关,介绍了温度测量的基本原理,给出相应的硬件电路与单片机软件实现.实验结果表明:精度达3.9×10-3,响应时间低于6s,该温度开关误差小、性能稳定,能够满足整体性能要求.     

复杂嵌入式实时系统体系结构设计与分析语言:AADL

首先归纳了AADL(architecture analysis and design language)的发展历程及其主要建模元素.其次,从模型 驱动设计与实现的角度综述了AADL 在不同阶段的研究与应用,总结了研究热点,分析了现有研究的不足,并对 AADL 的建模与分析工具、应用实践进行了概述.最后,探讨了AADL 的发展与研究方向.     

消化道生理参数检测胶囊系统的研究进展

胃肠道内的生理参数是评价胃肠道动力性疾病的重要参数.传统的插管方法会给病人带来严重的不适感,且会影响到病人的正常生活.为了克服传统插管方法的缺点,出现了一种新型的监测生理参数的胶囊系统,它可以根据生理参数的差异来诊断胃肠道疾病.针对生理参数检测胶囊系统对国际研究成果和国内研究现状进行了综述.     

无线传感器网络在老鼠生物机器人中的应用

介绍了无线传感器网络在老鼠生物机器人系统中的应用.老鼠生物机器人系统是一种基于超声波刺激融合表皮电极刺激与光辅助刺激的无创伤老鼠生物机器人运动控制系统,此系统携带 CO<,2>、温度、照度传感器,建立上位机界面程序,可远程采集区域位置的 CO<,2> 含量,温度值以及照度值.     

基于Adaboost-CSHG的特定类目标跟踪识别

目标跟踪识别是计算机视觉领域的热点研究对象。首先采用基于Adaboost的目标检测算法,训练得到了特定类目标坦克模型的级联分类器,对图像中的坦克目标完成了 “粗检测”;通过构建类属超图(CSHG)模型,采取Adaboost与CSHG相结合的方式,有效滤除了大量虚警,实现了对坦克目标的“精检测”,同时完成了对目标的跟踪;最后利用基于类属超图的目标识别原理对目标进行识别,实验结果表明该方法在简单背景和复杂背景图像条件下均具有可行性。