Correlates of perceived effectiveness of the Safe Schools/Healthy Students Initiative

A three-level growth-curve model was applied to estimate perceived impact growth trajectories, using multi-year data from project and school surveys on outcome and program implementation collected from 59 sites and approximately 1165 participating schools in the Safe Schools and Healthy Students Initiative. Primary interest is to determine whether and how project-level and school-level correlates affect schools’ perceptions of the Initiative's effectiveness over time when the effects of the pre-grant environmental conditions, grant operations, and near-term outcomes are considered. Coordination and service integration, comprehensive programs and activities for early childhood development, and change in school involvement were found to be significant predictors of school-perceived overall impact when the effect of poverty was considered. Partnership functioning, perceived importance of school resources, and school involvement were found to be significant predictors of school-perceived impact on substance use prevention when the effect of poverty was considered.     

Potential of decentralized wastewater management for urban development: Case of Bangkok

Decentralized wastewater management (DWWM) has recently gained much attention in wastewater management (WWM) due to its build-as-you-go principal. Rapid urban development and the widespread impact of wastewater require sustainable ways to test the DWWM approach. This paper aims to examine and discuss the potential of Bangkok’s current WWM approaches for urban development, focusing on decentralized management approaches. General WWM approaches were examined using case study research methods. Three WWM cases were selected for detailed investigation. Residential wastewater user surveys and expert interviews were used to support system performance findings of service providers and recipients, as well as to draw lessons learned. Results show that DWWM is economically and technically efficient, demonstrating potential for sustainable urban development (SUD) in the study area. The competitive cost found is a result of less sewer line, simple technology, and limited additional costs, while the high efficiency is a result of good operation and maintenance. Also the reclaimed water has been used for landscape irrigation of the urban greenery. Sustainability of the system lies in social value of public amenity it provides, and the urban planning implication that it could be an option for smart growth. The results also show that even in an inner urban area DWWM does not conflict with any SUD considerations. Thus, the study recommends using DWWM for new development within both public and private properties based on Bangkok’s case as part of long-term urban development.     

The Pursuit of Continuous Improvement in the Field of Intergenerational Relationships: The Discipline of the Second Curve

This article presents a case for the field of intergenerational relationships to embrace the challenges associated with progressing its reputation, boundaries, and potential in the twenty-first century. The concept of the Sigmoid curve based upon curvilinear logic and the discipline of the second curve is introduced as a means of understanding how individuals, organizations, and institutions need to deal with the challenge of constant renewal as a consequence of rapid social change. The field of intergenerational relationships is challenged to align itself with the discipline of the second curve by (1) improving the impact of research through knowledge-based transfer and (2) exploring new fields of inquiry in the interest of maintaining and advancing relevance and legitimacy.     

What can microblog exchanges tell us about food safety crises in China?

The affordance of microblogging services has made them an ideal tool for communicating risk and crisis. However, research on social media and risk communication is still in its infancy. This study, following the uses and gratifications framework, attempts to give some insight into the way micro-bloggers communicate about risk by investigating food safety communications on the microblogging service in China. A content analysis was conducted on 6186 microblog posts relating to 12 recent food safety incidents in China. A series of bivariate chi-square tests was conducted to test the association between micro-bloggers and gratifications. The results indicate that different types of micro-bloggers gratify different needs. Compared to other types of micro-bloggers, the general public tends to use microblogging to express opinions on food safety incidents, regulation and/or policy, rather than simply disseminating information; members of the public enjoy fewer multimedia affordances in their microblog posting but express more negative feelings. Although we anticipate growth in the use of social media in environmental health communication, caution is still needed: communication in China still follows a traditional top-down pattern.     

The New Spatial Planning Act in Taiwan: A Messy Shift from Economic Development-Oriented Planning to Environmental Conservation-Oriented Planning?

On 18 December 2015, the spatial planning bill was finally passed by the Legislative Yuan in Taiwan. That was a special moment for planning community and authority since they had anticipated this moment for more than two decades. However, this is not the end of the story. On the contrary, the battle between the economic development promoters and environmental conservation supporters just starts. The Act introduces several new changes to secure its goal of nationwide sustainable development, but the introduction also raises some tensions. This article reviews the tensions and their socio-political context, and gives some suggestions to the Taiwanese government.     

薇拉·凯瑟拓荒小说之于生态环境的观照

美国女作家薇拉·凯瑟的<啊,拓荒者>和<我的安东妮亚>两部作品出版于美国第一次环境保护运动期间,都是以19世纪末20世纪初内布拉斯加平原为背景,展现了美国拓荒时代人类对土地那种开拓、认同、融合的关系,传达出了朦胧的自然环境保护意识.     

公民环境公益诉讼的动力机制

在分析公民环境公益诉讼的外在价值和内在价值的基础上,对公民提起诉讼动力不足的因素进行分析表明,动力不足的内在结构缺陷表现为经济理性满足度缺乏、生态理性缺失和法律理性先天不足等方面。应着力开发公民公益诉讼动力。     

Using relative utility curves to evaluate risk prediction

Summary.  Because many medical decisions are based on risk prediction models that are constructed from medical history and results of tests, the evaluation of these prediction models is important. This paper makes five contributions to this evaluation: the relative utility curve which gauges the potential for better prediction in terms of utilities, without the need for a reference level for one utility, while providing a sensitivity analysis for misspecification of utilities, the relevant region, which is the set of values of prediction performance that are consistent with the recommended treatment status in the absence of prediction, the test threshold, which is the minimum number of tests that would be traded for a true positive prediction in order for the expected utility to be non-negative, the evaluation of two-stage predictions that reduce test costs and connections between various measures of performance of prediction. An application involving the risk of cardiovascular disease is discussed.     

Confidence interval estimation of the difference between paired AUCs based on combined biomarkers

In many diagnostic studies, multiple diagnostic tests are performed on each subject or multiple disease markers are available. Commonly, the information should be combined to improve the diagnostic accuracy. We consider the problem of comparing the discriminatory abilities between two groups of biomarkers. Specifically, this article focuses on confidence interval estimation of the difference between paired AUCs based on optimally combined markers under the assumption of multivariate normality. Simulation studies demonstrate that the proposed generalized variable approach provides confidence intervals with satisfying coverage probabilities at finite sample sizes. The proposed method can also easily provide P-values for hypothesis testing. Application to analysis of a subset of data from a study on coronary heart disease illustrates the utility of the method in practice.     

Deconvolution methods for non-parametric inference in two-level mixed models

Summary.  We develop a general non-parametric approach to the analysis of clustered data via random effects. Assuming only that the link function is known, the regression functions and the distributions of both cluster means and observation errors are treated non-parametrically. Our argument proceeds by viewing the observation error at the cluster mean level as though it were a measurement error in an errors-in-variables problem, and using a deconvolution argument to access the distribution of the cluster mean. A Fourier deconvolution approach could be used if the distribution of the error-in-variables were known. In practice it is unknown, of course, but it can be estimated from repeated measurements, and in this way deconvolution can be achieved in an approximate sense. This argument might be interpreted as implying that large numbers of replicates are necessary for each cluster mean distribution, but that is not so; we avoid this requirement by incorporating statistical smoothing over values of nearby explanatory variables. Empirical rules are developed for the choice of smoothing parameter. Numerical simulations, and an application to real data, demonstrate small sample performance for this package of methodology. We also develop theory establishing statistical consistency.