Multifactorial study of mobile phone dependence in medical students: Relationship to health-related lifestyle, Type A behavior, and depressive state

We investigated factors contributing to mobile phone dependence. To 139 medical students, we administered a self-reporting questionnaire designed to evaluate mobile phone dependence, health-related lifestyle, patterns of behavior, and depressive state. Multivariate logistic regression analysis revealed that scores for poor health-related lifestyle, Type A behavior pattern, and presence of depression are independently associated with degree of mobile phone dependency. These findings suggest that persons with an unhealthy lifestyle, Type A behavior traits, or depression might benefit from mobile phone use guidance.

Turing/Turing-like patterns:Products of random aggregation of spatial components

Turing patterns are typical spatiotemporal ordered structures in various systems driven far from thermodynamic equilibrium.Turing’s reaction-diffusion theory,containing a long-range inhibiting agent and a local catalytic agent,has provided an explanation for the formation of some patterns in nature.Numerical,experimental and theoretical studies about Turing/Turing-like patterns have been generally focused on systems driven far from thermodynamic equilibrium.The local dynamics of these systems are commonly very complex,which brings great difficulties to understanding of formation of patterns.Here,we investigate a type of Turing-like patterns in a near-equilibrium thermodynamic system experimentally and theoretically,and put forward a new formation mechanism and a quantitative method for Turing/Turing-like patterns.Specifically,we observe a type of Turing-like patterns in starch solutions,and study the effect of concentration on the structure of patterns.The experimental results show that,with the increase of concentration,patterns change from spots to inverse spots,and labyrinthine stripe patterns appear in the region of intermediate concentration.We analyze and model the formation mechanism of these patterns observed in experiments,and the simulation results agree with the experimental results.Our conclusion indicates that the random aggregation of spatial components leads to formation of these patterns,and the proportion of spatial components determines the structures.Our findings shed light on the formation mechanism for Turing/Turing-like patterns.

一种基于软件行为的界面识别模型

界面采集技术是软件自动评测、软件训练评估领域关键技术之一。对于一些规模较大且部分界面非标准化的应用软件,会出现部分界面难以识别且采集效率低的问题。提出一种基于界面特征的识别模型,运用软件行为学理论描述界面交互行为,采用加权欧式距离与句法模式识别相结合的方法对目标界面进行匹配,较好解决了目标界面识别问题。实验测试证明该模型有效、实时性好。

基于潜在类别分析研究20~30岁职业人群行为生活方式与中医体质的关系

目的:分析20~30岁职业人群行为生活方式的潜在类别特点,探讨行为生活方式潜在类别与中医体质间的关联性。方法:应用已建立的健康状况调查数据库中5 374名20~30岁职业人群数据进行研究。调查内容包括一般情况、行为生活方式、中医体质量表。对研究对象喜咸、喜甜、喜油腻、运动习惯、吸烟、饮酒、每天睡眠时长7项行为生活方式进行潜在类别分析,采用χ2检验和对应分析探讨行为生活方式潜在类别与中医体质的关系。结果:5 374名研究样本,平均年龄(25.72±2.94)岁,男性2 378名(44.25%),女性2 996名(55.75%)。潜在类别分析将研究对象分为4类:基本健康型2 401名(44.68%)、缺乏运动型2 113名(39.32%)、吸烟饮酒型500名(9.30%)、饮食不健康型360名(6.70%)。4组间中医体质类型分布特点不同。平和质与行为生活方式基本健康型关联性较强;气郁质、阳虚质、血瘀质、气虚质、特禀质与缺乏运动型关联性较强;痰湿质与饮食不健康型关联性较强。结论:20~30岁职业人群的行为生活方式有明显的分类特征,不同行为生活方式潜在类别与中医体质类型之间存在关联性,应针对不同中医体质的行为生活方式特点进行差异性干预。