新疆能源建设的金融支持研究

目前新疆能源工业已成为金融业重点支持的行业之一,但金融机构提供的金融产品单一,资本市场的融资功能未得到充分发挥,很难满足能源工业发展的巨大资金需求。文章提出,应依据产权理论和生产要素理论更新融资思路,发展采矿权融资等新融资方式,不断拓宽能源企业的融资渠道。同时,应针对能源建设不同阶段资金需求特点,确定相应的有效融资方式。     

江苏老年残疾人的构成特点及其社会保险

分析2006年第二次全国残疾人抽样调查数据发现,江苏老年残疾人构成有8大特点：占总人口比例高且发展快;残疾率随年龄变化迅速;老龄化是残疾增加的主要原因;听残、肢残、视残和多重残构成老年残疾的大部分;农村及女性老年残疾率高;老年残疾领证率低;老年残疾率与地区人口残疾率相关、与老年人数相关;未来老年残疾人增长快。其次,老年残疾的社会经济状态研究表明,农村老年残疾人就业率高、依靠家庭成员供养比例高;老年残疾人受教育程度低、经济收入低;老年残疾有偶率低、丧偶率高。第三,老年残疾人享受社会保险现状为：医保参加率较高、寿保参加率低;苏中参保比例低。认为政府应加大对社会保险的投入,鼓励民间机构介入,建立劳务时间银行,组织老年残疾人之间的相互照料以提高残疾人生活质量。     

A Note on Support Vector Density Estimation for the Deconvolution Problem

The problem of support vector density estimation is studied when the sample observations are contaminated with random noise. A procedure based on support vector method and the Fourier transform is presented and is compared with kernel density estimators by the simulation study.     

Comparison of Support Vector Machines to Other Classifiers Using Gene Expression Data

The efficiency of independent controling variates in simulation of activity networks will be evaluated in the sense of mean square deviation of the estimator from the true value. The given result is asymptotic     

Measuring Time Series Predictability Using Support Vector Regression

Most studies involving statistical time series analysis rely on assumptions of linearity, which by its simplicity facilitates parameter interpretation and estimation. However, the linearity assumption may be too restrictive for many practical applications. The implementation of nonlinear models in time series analysis involves the estimation of a large set of parameters, frequently leading to overfitting problems. In this article, a predictability coefficient is estimated using a combination of nonlinear autoregressive models and the use of support vector regression in this model is explored. We illustrate the usefulness and interpretability of results by using electroencephalographic records of an epileptic patient.     

中国老年人参与互联网金融影响因素研究——以理财产品为例

互联网金融是老年人减少金融排斥,享受普惠金融的重要途径。但是目前我国老年人对互联网金融的优点认识不足,参与率过低。为探究中国老年人参与互联网金融的影响因素,基于中国家庭金融调查2017年数据,从个人禀赋、家庭支持和区域发展三个角度构建了多维解释模型,使用分层Logit模型进行验证。研究结果显示:第一,受教育程度高和金融素养高的老年人参与互联网金融可能性更大;第二,家庭总收入越高、与子女同住和与孙辈同住均可提高老年人参与互联网金融的比例;第三,信息社会化指数越高省份的老年人越容易参与互联网金融。第四,随着年龄的增大,老年人个人禀赋的影响减小,而家庭支持和区域发展的影响始终显著。根据上述研究结果,本文提出了有针对性的建议。     

中国老年人口的自理预期寿命变动——社会性别视角下的差异分析

基于2005年"小普查"及2010年"六普"汇总数据,本文利用生命表技术及Sullivan法,分析了男性与女性老年人口预期寿命、自理预期寿命及其差异的变化。研究发现,随着年龄的提高,预期寿命与自理预期寿命的性别差异均呈缩减趋势;5年间,老年人口预期寿命的性别差异在低龄阶段有略微的扩张趋势,而自理预期寿命的性别差异则在各年龄均呈扩张趋势;男性老年人口自理预期寿命占余寿的比重始终高于女性,而且与以往研究结论不同的是,5年间老年人口自理预期寿命占余寿的比重呈上升趋势,且女性该比重的上升幅度高于男性。     

Effects of resident-oriented care on job characteristics of nursing caregivers

This study evaluates the effects of the implementation of resident-oriented care on the job characteristics (job autonomy, job demands and social support) of nursing caregivers in three Dutch nursing homes. In a quasi-experimental design, experimental and control groups in both general and psychogeriatric wards were followed for up to 22 months, using a pre-test and two post-tests by means of written questionnaires and semi-structured interviews. The results showed that the intervention appeared to be partly successful. Last post-test regression analyses revealed significant increases in a number of design characteristics of resident-oriented care. Significant increases were noticed on resident assignment, the two variables measuring the nursing process and, in the psychogeriatric experimental group, on resident-oriented tasks (p≤.01). The effects on job characteristics were limited. An indicative increase was shown in contextual job autonomy in the experimental group (p≤.05). The qualitative data derived from the interviews showed that there was still a partly task-oriented division of labour. Further, the delegation of co-ordination tasks to nursing caregivers had not yet been properly achieved. The study concludes with some theoretical and methodological reflections in the light of the findings.     

Predicting the Incremental Benefits of Online Information Search for Heterogeneous Consumers

Consumer information search (CIS), the process by which a consumer browses and inspects a shopping environment for appropriate information to select a product or service from available options, has been a research focus in the context of online business. One of the key questions related to CIS is how to determine how much information to search (i.e., when to stop searching). Extensive literature on behavioral science has revealed that consumers often search either “too little” or “too much,” even with the help of existing consumer decision support systems (CDSSs). To address this issue, this article introduces a new method of CDSSs that provides effective estimation of incremental search benefits. The method, called the personalized distribution‐based prediction method (PDM), is developed from the perspective of machine learning and utilizes consumer preference information generated by collaborative filtering (CF) algorithms. In contrast to related methods that assume that all consumers follow the same distribution function in terms of product preference, the PDM method is designed to consider the diversified search behaviors of consumers through the incorporation of heterogeneous preference distribution functions. Experiments based on data provided by Netflix illustrate that the proposed method is effective and advantageous over existing applicable techniques. Theoretical analyses are also provided to explain the advantageous performance of PDM.     

赤峰市部分老龄居民家庭药箱抽样调查结果分析

目的:调查赤峰市部分社区老龄居民家庭药箱的构成情况、用药行为和药箱的管理情况,为医药学专家设计有针对性的公众健康教育主题和卫生行政部门的管理和决策提供参考。方法:以调查问卷形式,了解居民家庭药箱情况。结果及结论:居民家庭药箱备药较充分,可以应对常见病和突发疾病,居民购药科学性和自我药疗水平较前明显提高,对用药问题解决的合理性也明显提高,但居民在药品存放、正确使用和药箱管理中仍然存在很多不足,需要加大进社区宣传和咨询的力度,提高居民安全用药水平。