“Either Side of Delphy Bridge”: A deep mapping project evoking and engaging the lives of older adults in rural North Cornwall

This article reports on work to date by an arts practice-led research team exploring older adults’ conceptions of, and connectivity with, the physical, social and cultural landscapes in which they locate themselves. The team is based at the Department of Art and Design, University of the West of England (UWE) and has conducted fieldwork, interviews and small-scale interactions in an area of rural North Cornwall with a view to “deep mapping” older adults’ “lived landscapes” using a variety of practical methods derived from creative arts practices, critical reflection on deep mapping, ethnographic approaches, and referencing a range of theoretical positions. The project forms part of a work package within “Grey and Pleasant Land? An interdisciplinary exploration of the connectivity of older people in rural civic society” (abbreviated below as GaPL), funded by the UK Cross-Research Council ‘New Dynamics of Ageing’ Programme. In what follows we will describe and critically discuss the fieldwork undertaken and the various ways in which the performative interactions and the creative multimedia evocations that draw on the team’s interactions with older people might extend the growing dialogue between deep mapping, visual and other innovative ethnographies, and critical gerontology.     

改变道德习俗:生活德育的最佳切入路径

习俗有道德习俗与非道德习俗之分。道德习俗对人德性生成有巨大影响。这样,生活德育的最佳切入路径在改变道德习俗,其中,学校生活德育的最佳切入路径是改变学校的道德习俗;家庭和社会生活德育的最佳切入路径是改变本国、本地区的道德习俗。     

An Additive–Multiplicative Restricted Mean Residual Life Model

The mean residual life measures the expected remaining life of a subject who has survived up to a particular time. When survival time distribution is highly skewed or heavy tailed, the restricted mean residual life must be considered. In this paper, we propose an additive–multiplicative restricted mean residual life model to study the association between the restricted mean residual life function and potential regression covariates in the presence of right censoring. This model extends the proportional mean residual life model using an additive model as its covariate dependent baseline. For the suggested model, some covariate effects are allowed to be time‐varying. To estimate the model parameters, martingale estimating equations are developed, and the large sample properties of the resulting estimators are established. In addition, to assess the adequacy of the model, we investigate a goodness of fit test that is asymptotically justified. The proposed methodology is evaluated via simulation studies and further applied to a kidney cancer data set collected from a clinical trial.     

Barriers to Integrated Treatment of Substance Abuse and Trauma Among Women

Despite increasing empirical support for an integrated approach to treating trauma and substance abuse, many substance abuse treatment programs have been slow to embrace integrated models of practice. Using an embedded case study design, the purpose of this study was to understand barriers that prevented a substance abuse treatment provider and 20 professionals and staff from adopting an integrated approach to treating substance abuse and trauma. Data analysis revealed 2 kinds of barriers that prevented substance abuse treatment professionals from fully integrating substance abuse and trauma: systemic and professional barriers. These barriers have to be taken into account when trying to move providers and professionals toward integrated approaches to treating substance abuse and trauma.     

Using a capabilities approach to understand poverty and social exclusion of psychiatric survivors

The purpose of this project is to better understand poverty and social exclusion of psychiatric survivors using a capabilities approach to social justice as part of a larger mixed-methods longitudinal study (N=380) in Ontario, Canada. Using thematic coding, four themes emerged: poverty, ‘You just try to survive’; stigma, ‘People treat you like trash’; belonging, ‘You feel like you don’t belong’; and shared concern and advocacy, ‘Everyone deserves housing’. This analysis provides a deeper understanding of poverty and other social determinants of experiences of psychiatric survivors, including the synergism of poverty and social exclusion.     

Variable selection for semiparametric proportional hazards model under progressive Type-II censoring

Variable selection is an effective methodology for dealing with models with numerous covariates. We consider the methods of variable selection for semiparametric Cox proportional hazards model under the progressive Type-II censoring scheme. The Cox proportional hazards model is used to model the influence coefficients of the environmental covariates. By applying Breslow’s “least information” idea, we obtain a profile likelihood function to estimate the coefficients. Lasso-type penalized profile likelihood estimation as well as stepwise variable selection method are explored as means to find the important covariates. Numerical simulations are conducted and Veteran’s Administration Lung Cancer data are exploited to evaluate the performance of the proposed method.     

Generalizing the standardized hazard ratio to multivariate proportional hazards regression,with an application to clinical~genomic studies

The standardized hazard ratio for univariate proportional hazards regression is generalized as a scalar to multivariate proportional hazards regression. Estimators of the standardized log hazard ratio are developed, with corrections for bias and for regression to the mean in high-dimensional analyses. Tests of point and interval null hypotheses and confidence intervals are constructed. Cohort sampling study designs, commonly used in prospective–retrospective clinical genomic studies, are accommodated.     

学习型组织理论在企业的运用及建设路径探析

学习型组织管理论是当今世界最先进的管理理论之一。立足于对学习型组织概念和相关理论发展的基本阐述,进一步揭示学习型组织建设对企业的作用和意义,进而结合前一时期全国推行的＂创建学习型企业实践行＂活动,就建设学习型企业所存在的问题和建设路径进行分析和讨论。     

Empirical Likelihood Inference for the Rao‐Hartley‐Cochran Sampling Design

The Hartley‐Rao‐Cochran sampling design is an unequal probability sampling design which can be used to select samples from finite populations. We propose to adjust the empirical likelihood approach for the Hartley‐Rao‐Cochran sampling design. The approach proposed intrinsically incorporates sampling weights, auxiliary information and allows for large sampling fractions. It can be used to construct confidence intervals. In a simulation study, we show that the coverage may be better for the empirical likelihood confidence interval than for standard confidence intervals based on variance estimates. The approach proposed is simple to implement and less computer intensive than bootstrap. The confidence interval proposed does not rely on re‐sampling, linearization, variance estimation, design‐effects or joint inclusion probabilities.