An F-type test for detecting departure from monotonicity in a functional linear model

When studying associations between a functional covariate and scalar response using a functional linear model (FLM), scientific knowledge may indicate possible monotonicity of the unknown parameter curve. In this context, we propose an F-type test of monotonicity, based on a full versus reduced nested model structure, where the reduced model with monotonically constrained parameter curve is nested within an unconstrained FLM. For estimation under the unconstrained FLM, we consider two approaches: penalised least-squares and linear mixed model effects estimation. We use a smooth then monotonise approach to estimate the reduced model, within the null space of monotone parameter curves. A bootstrap procedure is used to simulate the null distribution of the test statistic. We present a simulation study of the power of the proposed test, and illustrate the test using data from a head and neck cancer study.     

Myths of Women and Their Reflection in a Therapy Group

One essential dilemma for modern clinical social work involves the relationship between the processes taking place inside the self and the social, cultural, and political developments affecting a person from the outside. The group-analysis approach focuses on four levels of relationships and communication within the group, among others a primordial level of shared myths, archetypical images, and the collective unconscious as an important component of psychotherapy. This article describes group-analysis therapy with women, analyzing a therapeutic process that used social myths to explore the formative institutionalization processes participants had undergone, thereby expanding themselves, growing, and changing.

How far merit selection? Social stratification and the labour market1

The question of how societies allocate occupational positions and subsequent rewards has long been of interest to sociologists. According to one influential theory, the needs of modern industrial societies and economies demand that high-level and functionally important occupational positions are allocated according to meritocratic principles. I argue that, ultimately, employers get the final say about which characteristics are rewarded in the labour market. In order to examine which skills and attributes are required by employers for particular occupations I analyse data drawn from a content analysis of c.5000 British newspaper job advertisements. The results show that both merit and non-merit characteristics are requested by employers in job advertisements, even for occupations falling within the higher classes. I also find evidence that employers have similar requirements for similar occupations, cross-cutting class boundaries.     

Assessing the effects of land use and land cover patterns on thermal conditions using landscape metrics in city of Indianapolis,United States

Direct applications of remote sensing thermal infrared (TIR) data in landscape ecological research are rare due to limitations in the sensors, calibration, and difficulty in interpretation. Currently there is a general lack of methodology for examining the relationship between land surface temperatures (LST) derived from TIR data and landscape patterns extracted from optical sensors. A separation of landscapes into values directly related to their scale and signature is a key step. In this study, a Landsat ETM+ image of Indianapolis, Unites States, acquired on June 22, 2000, was spectrally unmixed (using spectral mixture analysis, SMA) into fraction endmembers of green vegetation, soil, high albedo, and low albedo. Impervious surface was then computed from the high and low albedo images. A hybrid classification procedure was developed to classify the fraction images into seven land use and land cover (LULC) classes. Using the fractional images, the landscape composition and pattern were examined. Next, pixel-based LST measurements were correlated with the landscape fractional components to investigate LULC based relationships between LST and impervious surface and green vegetation fractions. An examination of the relationship between the LULC and LST maps with landscape metrics was finally conducted to deepen understanding of their interactions. Results indicate that SMA-derived fraction images were effective for quantifying the urban morphology and for providing reliable measurements of biophysical variables. LST was found to be positively correlated with impervious surface fraction but negatively correlated with green vegetation fraction. Each temperature zone was associated with a dominant LULC category. Further research should be directed to the theoretical and applied implications of describing such relationships between LULC patterns and urban thermal conditions.

论文化产业内部结构的划分与演进——基于核心要素的视角

当前理论界对文化产业内部结构划分没有一个令人信服的方法,本文提出“核心要素”的新视角,将文化产业划分为资源型文化产业、制造型文化产业和创意型文化产业。文化产业内部结构的演进是一个客观的历史进程,遵循着由资源型文化产业向制造型文化产业再到创意型文化产业的发展路径。解构文化产业结构并深入研究其演进规律,对文化产业的发展具有重要的指导意义。     

SIMPCA: a framework for rotating and sparsifying principal components

We propose an algorithmic framework for computing sparse components from rotated principal components. This methodology, called SIMPCA, is useful to replace the unreliable practice of ignoring small coefficients of rotated components when interpreting them. The algorithm computes genuinely sparse components by projecting rotated principal components onto subsets of variables. The so simplified components are highly correlated with the corresponding components. By choosing different simplification strategies different sparse solutions can be obtained which can be used to compare alternative interpretations of the principal components. We give some examples of how effective simplified solutions can be achieved with SIMPCA using some publicly available data sets.     

道家和谐生态思想的结构性分析

自然和谐是道家生态思想的核心,围绕着自然和谐,道家生态思想主要呈现出三层面结构,即法天贵真的自然特殊态社会层、天而不人的自然中心态天人层和兼怀万物的完全态自然层。说明人类社会的本质是自然的,自然是世界的中心,万事万物包括人类社会的最高生态理想是完全态的自然境界。人类的天职是爱护自然、保护环境、维护生态、追求自然的生态和谐。     

我国马克思主义学科体系建设的战略思考

马克思主义学科体系建设不仅直接关系到哲学社会科学的繁荣和发展,而且也关系到党和国家的命运前途。马克思主义学科具有独特的内涵和功能,初创时期可由五个二级学科构成。马克思主义学科体系建设首先必须明确一系列基本问题;马克思主义理论教育教学是推动马克思主义学科体系建设的重要途径和手段。     

Modeling Demand For Unionization With Nontraditional Data Analysis Methods

Upon reviewing the extant literature on determinants of unionism, it becomes clear that many areas that have had a plethora of research attention do not converge upon singularly directional findings. This study explores a potential cause of such an apparent anomaly: nonlinearity of data. An exploratory examination of correlation coefficients among typical union determinant variables seems to show different patterns of relationships at different levels of union demand. Thus, a break from traditional linear data analysis techniques is explored in the interest of explaining more variance with typical, theoretically derived variables by using neural network analysis. Results of analyses on industry level data reveal that using neural network analysis to model union demand explained over four times as much variance as multiple regression analysis.     

Moving On From Supportive Housing (MOSH): Development and evaluation of a transitional skill-building curriculum for providers helping residents exit homeless services

This article describes the development and evaluation of MOSH (Moving On From Supportive Housing), a transitional skill-building curriculum for providers helping residents exit homeless services to mainstream housing without embedded supports. In this evaluation, we assess the feasibility, acceptability, fit, and potential efficacy of the MOSH curriculum to improve proximal provider-level outcomes, including self-efficacy to provide MOSH-related independent living skills and supports. Homeless-services providers (N = 49) from a range of programs and settings participated in the training. Findings from focus groups and pre- and posttest surveys indicate high levels of overall satisfaction with the training. The majority of trainees perceived the training to be useful to their work and potentially useful for service recipients, felt the training would fit well within their existing day-to-day work, and said they were very likely to use MOSH skills in such work. Statistically significant improvements in self-efficacy regarding all skills but one were also found. MOSH holds promise as an intervention that can enhance provider practice and promotion of independent living skills in homeless services. Although these initial findings on MOSH are encouraging, further research will be needed to evaluate provider knowledge gains and effective use of these skills in practice.