影响安徽省城乡居民住宅发展因素的分析

选用安徽省1981～2000年相关统计数据为样本，建立了城镇和农村居民人均住宅面积的多元回归方程，得出影响城乡居民住宅发展的原因，并据此对安徽省房地产市场的发展提出了建议。     

居住空间与起居型生活模式

居住空间应该能满足生活模式的要求。本文通过新的空间形式和已有居住空间两方面论述了居住空间对起居型生活模式的适应。     

城镇居民生活用电需求预测模型

随着我国经济的发展和经济结构的调整,居民用电占全社会用电量的比重逐渐增大并有继续增加的趋势。为了定量分析我国城镇居民生活用电的未来发展,从统计数据出发,选择城镇居民人均收入、城镇民用电价、前一年的城镇居民人均生活用电量作为解释变量,建立了城镇居民生活用电需求预测计量方程,确定了用电量和影响用电量的因素之间的理论和数量关系,同时为了提高模型的预测精度,揭示短期波动,建立了关于城镇居民生活用电的误差修正模型。并以此预测了2004年和2005年的用电量。结果表明,未来几年内,我国城镇居民人均生活用电量将以5.0%左右的年增长率变化。     

以人为本的新改革观、新发展观和新稳定观

中国共产党第十六届三中全会第一次明确提出了以人为本的全面、协调、可持续的科学发展观(即新发展现)，笔在此基础上作了进一步的引申、补充和发挥，在国内学术界首次阐述了以人为本的新改革观和以人为本的新稳定观．同时，还详细阐述了正确处理改革、发展、稳定三关系的重要结合点，指出我国改革、发展、稳定的最终目的和根本目的都是为了人，都是为了人的自由全面发展，都是为了提高广大人民群众的生活水平和质量。     

助老服务机器人多模式友好交互系统设计与实现

交互系统是服务机器人与人交流互动的基础。采用实感3D相机作为传感器,研发了一款助老服务机器人多模式交互系统,主要实现基于人脸识别的用户注册与验证、基于手势识别和语音识别的新闻点播、日程提醒等。实验测试表明,人脸识别准确率达到93%,手势识别准确率达到72%,语音识别准确率达到90%。该交互系统具有交互友好、不依赖网络、识别速度快等优点,与全向移动机器人平台集成,可以为空巢老人提供一款交互友好的多功能低成本助老服务机器人。     

A novel optimization method for designing stand alone photovoltaic system

This paper presents a novel optimization method for sizing and design of stand alone photovoltaic systems. Loss of power supply probability analysis is set as a benchmark to determine all possible PV array and battery capacity. Then, the optimum design is proposed based on the lowest levelized cost of energy. The case study, with reference to Malaysia's meteorological data and typical load profile of rural area, has been simulated and compared to selected three past researches.     

大数据时代下数字生活社区的前景

随着信息化大数据时代的到来,既给信息科技从业者带来新的机遇和挑战的同时,也给大众百姓的生活带来巨大的品质提升,数字生活社区将引导一场前所未有的技术革命,对影响人们衣、食、住、行、医等方方面面,也使得人们对科技生活的依赖性更加增强,更加的理所当然.     

The use of Information and Communication technology when completing instrumental activities of daily living

Purpose of the studyAn important aspect of cognitive assessment is inquiry of the patient’s ability to manage instrumental activities of daily living (IADLs), including finances, medication, and transportation. Information and Communication technology (ICT, e.g. smartphones, computers) has become increasingly prevalent in American culture. We aimed to characterize what IADLs were being completed with ICT, and what factors predict ICT use to manage IADLs.Design and methodsWe administered a self-report survey to 505 Veterans seeking care at the VA Greater Los Angeles Healthcare System.ResultsSeventy percent reported regular ICT use. Of ICT users, 76% reported use for finances, 86% for shopping, 72% for health management, 75% for transportation, and 97% for communication. Logistic regression was used to identify predictors of high ICT use. Longer duration of computer use was significant in all models. Younger age, higher education, and better self-reported memory were associated with greater use for a subset of IADLs. Veterans with more health problems were more likely to use ICT to manage their healthcare.ImplicationsThese findings suggest that Veterans are using ICT to support IADLs. It appears appropriate for clinicians to incorporate questions about ICT use into IADLs assessment, which may assist in detecting subtle changes to day to day functioning and improve the accurate diagnosis of cognitive disorders.     

Association of size‐fractionated indoor particulate matter and black carbon with heart rate variability in healthy elderly women in Beijing

Associations between size‐fractionated indoor particulate matter (PM) and black carbon (BC) and heart rate variability (HRV) and heart rate (HR) in elderly women remain unclear. Twenty‐nine healthy elderly women were measured for 24‐hour HRV/HR indices. Real‐time size‐fractionated indoor PM and BC were monitored on the same day and on the preceding day. Mixed‐effects models were applied to investigate the associations between pollutants and HRV/HR indices. Increases in size‐fractionated indoor PM were significantly associated with declines in power in the high‐frequency band (HF), power in the low‐frequency band (LF), and standard deviation of all NN intervals (SDNN). The largest decline in HF was 19% at 5‐minute moving average for an interquartile range (IQR) increase (24 μg/m³) in PM_0.5. The results showed that smaller particles could lead to greater reductions in HRV indices. The reported associations were modified by body mass index (BMI): Declines in HF at 5‐minute average for an IQR increase in PM_0.5 were 34.5% and 1.0% for overweight (BMI ≥25 kg/m²) and normal‐weight (BMI <25 kg/m²) participants, respectively. Moreover, negative associations between BC and HRV indices were found to be significant in overweight participants. Increases in size‐fractionated indoor PM and BC were associated with compromised cardiac autonomic function in healthy elderly women, especially overweight ones.