先秦名实之乱的文化根源

先秦名实之乱的根源在于礼乐文化本身,它内容和形式对立统一的特点已经潜伏了名实分离的可能.礼坏乐崩和名实之乱都是礼乐文化在解体过程中的表现.名与实没有彻底分离,为中国文化留下了一个严重的社会痼疾.     

长株潭城市群主体功能区划分研究

在《全国主体功能区规划》对长株潭城市群"重点开发区"功能定位的框架下,从资源环境承载力、现有开发密度和发展潜力三方面选取18个指标,构建长株潭城市群主体功能区划分指标体系,运用熵权法、多目标线性加权函数法等数理方法,结合当地实际,将长株潭城市群划分为优化开发区、重点开发区、一般开发区、限制开发区、禁止开发区五类主体功能区,并提出各功能区的发展方向与建设策略。     

电信企业服务质量感知的评价指标体系和方法——以重庆市某运营商A品牌为例

企业的服务质量是企业竞争的法宝,如何感知服务质量的高低,如何对服务质量感知进行评价分析一直是电信企业所关注的焦点问题。本文从客户角度出发,针对电信服务质量评价过程中的信息不完全性和评价规则的模糊性,充分利用客户对电信服务质量认知的模糊性和灰性,从灰色系统理论的视角,结合模糊综合评价法,构建了客户可感知的电信服务质量的模糊灰色综合评估模型。以重庆市某运营商A品牌客户为例,验证了服务质量感知评价体系具有较高的有效性和可操作性,为电信运营企业对其服务质量的评估提供了一种科学有效的方法。     

基于用户偏好的垂直搜索算法

提出并研究、实现了基于用户偏好的垂直搜索算法(PVSA)。以领域特征为基本出发点,PVSA借助领域主题偏好向量、领域元数据权重因子、检索名词差异化、行业词典库更新等4项策略,有效地挖掘、表征用户的领域个性化偏好,以此为基础构建基于用户偏好的垂直搜索算法。实验结果表明了PVSA算法的有效性和可行性。     

论补强规则的理论依据——以英美法系的法律制度为视角

当前补强证据规则已经具有不再局限于刑事法领域的整体意义和价值了,但学术界对补强规则所内含的基本内容之理解还极其混乱,并影响了对补强规则的理解和执行,制约补强规则体系的建立与完善.补强规则理论依据的研究,直接影响对补强规则之属性的理解,从而成为理解补强规则具体内容的基础.通过分析英美的具体补强证据规则,可以断言补强证据规则的依据都是特定的社会政策,社会政策可以为立法概括的属性,决定补强规则应当是证据能力规则.     

建筑企业承包商选择的综合评价方法研究

传统的建筑行业选择承包商时主观的成分过多,且多集中在承包商的价格、资质等方面,尚未形成全面的评价指标体系。针对承包商选择中存在的不足,从复杂系统的角度出发,构建了建筑企业承包商选择的综合评价指标体系。该体系包含了承包商的社会影响力、技术能力、工程管理能力、市场开拓与营销能力、融资与财务能力和资源管理能力等指标,使评价体系更合理全面。同时采用熵权法确定指标的权重,尽量消除人为因素干扰。     

基于可变权重的DEA效率评价模型

传统DEA模型将投入、产出权重视为固定变量。为了更合理地对决策单元的效率进行评价,本文研究了如何将有关投入、产出变量的权重的更多信息融入效率评价模型,提出了可变权重的概念,给出了一种基于可变权重的DEA效率评价模型。本文模型是CCR模型的推广。在有关权重信息可得的前提下,本文模型较之CCR模型中效率评价上更为合理。但是,如何准确度量投入、产出权重并将其函数化,是本文方法应用的难点。一个算例分析演示了本文模型。     

The Status of Nutrition Education in ACHA College and University Health Centers

Abstract

An assessment of the prevalence and scope of nutrition services offered through 208 randomly selected American College Health Association member student health centers revealed that 79% of the 160 respondents provided some type of nutrition education for students. One-to-one counseling, available at 96% of the institutions, was the most common approach. The larger the school's enrollment, the more likely it was to provide programs in nutrition. All of the institutions with student populations of more than 35,000 offered some type of nutrition service, as did 52% of the 19 schools with enrollments between 2,000 and 5,000. Health educators, nurses, doctors, dietitians, and trained peer educators provided the services, with registered dietitians the most common providers and often coordinators of the programs. Costs to students for nutrition interventions were nominal; weightmanagement programs were the most expensive and showed the greatest variation in content.     

Energy Drinks,Weight Loss,and Disordered Eating Behaviors

Abstract

Objective: The present study examined energy drink consumption and relations with weight loss attempts and behaviors, body image, and eating disorders. Participants/Methods: This is a secondary analysis using data from 856 undergraduate students who completed the American College Health Association–National College Health Assessment II confidentially online during February 2012. Results: This study revealed that the majority reported lifetime consumption of energy drinks (68.4%) and a substantial minority (30.2%) reported past-30-day consumption. Chi-square and t test results suggest that consumption is associated with concerns about personal appearance, weight loss attempts, and disordered eating behaviors (eg, vomiting). Hierarchical logistic regressions revealed that after controlling for demographics, the relations between energy drink consumption and the act of trying to lose weight, the use of diet pills, and the use of vomiting/laxatives remained significant. Conclusions: The current findings suggest that energy drink consumption is associated with weight loss attempts, poor body image, and unhealthy weight loss behaviors. Future research should examine the prevalence of energy drink consumption for the purpose of weight loss.     

Selected Health Behaviors That Influence College Freshman Weight Change

Objective and Participants: The authors investigated the effect of physical activity (PA), fruit and vegetable intake, and alcohol use on 6-month weight change in 193 college freshmen (78.8% white, 88.2% women, 94.5% on a meal plan). Methods: The authors administered a Web-based survey in fall 2002 (baseline) and spring 2003 (follow-up). Results: There was an overall average weight gain of 2.5 lbs (p < .05), although only 57% reported weight gain (M = 7.1 lbs). Fruit and vegetable intake decreased (p = .034), alcohol use increased (p > .05), and PA was unchanged. Weight gain for students with body mass indexes (BMI) ≥25 kg/m² was nearly twice that of students with BMIs < 25 (p < .05). Students with low-frequency baseline PA were twice as likely to be overweight. Follow-up data showed that students reporting ≥ 4 sessions per week (ie, high frequency) of low-intensity PA were twice as likely to have healthy BMIs as students engaging in low- and moderate-frequency PA. Conclusions: PA interventions should target freshmen with BMIs ≥ 25.