Peer Acceptance and Friendships of Students with Disabilities in General Education: The Role of Child,Peer, and Classroom Variables

To understand the difficulties students with disabilities experience in their social participation in general education, this study examined which child, peer, and class variables relate to peer acceptance and friendships. In a cross‐sectional study, sociometric data were gathered for students without disabilities (N = 985) and students with disabilities (N = 65), together with personal related variables of students with disabilities, attitudes of peers towards students with disabilities, and classroom information. Using separate social networks for both boys and girls, the findings of the logistic multilevel regression analyses showed different outcomes for peer acceptance of boys and girls with disabilities. The implications of the findings are discussed in the light of possible interventions to improve peer acceptance and friendships of students with disabilities in general primary education.     

Particle predictive control

This work explores the use of sequential and batch Monte Carlo techniques to solve the nonlinear model predictive control (NMPC) problem with stochastic system dynamics and noisy state observations. This is done by treating the state inference and control optimisation problems jointly as a single artificial inference problem on an augmented state-control space. The methodology is demonstrated on the benchmark car-up-the-hill problem as well as an advanced F-16 aircraft terrain following problem.     

对高校图书馆期刊文献资源共享问题的思考

在网络环境下 ,高校图书馆期刊文献工作 ,其服务方式和服务手段发生了巨大变化。文章指出 2 1世纪高校图书馆期刊文献工作的自动化、数字化、网络化是人们对文化资源共享的要求 ,也是期刊实现自身价值的必由之路     

ICT,young people and social work: distances and opportunities

ABSTRACT

The relationship between social work and Information and Communication Technologies (ICTs) is an awkward one in Spanish tradition, particularly from social work perspective due to a certain lack of institutional and professional competence in terms of understanding the capabilities of ICTs. Young people use ICTs to connect to each other and express themselves, however. ICTs represent a means—increasingly the main one—for young people to build and communicate their own identities and understand reality. As with other social sciences, social work suffers from a difficult relationship with young people. Youth is often studied differently and sometimes perceived as a problem that ends when adulthood is reached. In this context, the relationship among ICTs, social work and young people is also a difficult one. But this problem may also be a solution. By adopting a critical ICT approach, social work can create innovative initiatives and frameworks to improve communication between social work practitioners and teachers as with young people and students. Imagination and empathy will clearly be key to achieving this, in addition to deeper involvement in the use of new software and applications that can offer enhanced communication and build bridges between social workers and young people.     

Stylometric analyses using Dirichlet process mixture models

Stylometry refers to the statistical analysis of literary style of authors based on the characteristics of expression in their writings. We propose an approach to stylometry based on a Bayesian Dirichlet process mixture model using multinomial word frequency data. The parameters of the multinomial distribution of word frequency data are the “word prints” of the author. Our approach is based on model-based clustering of the vectors of probability values of the multinomial distribution. The resultant clusters identify different writing styles that assist in author attribution for disputed works in a corpus. As a test case, the methodology is applied to the problem of authorship attribution involving the Federalist papers. Our results are consistent with previous stylometric analyses of these papers.     

Longitudinal Pathways between Maternal Mental Health in Infancy and Offspring Romantic Relationships in Adulthood: A 30‐year Prospective Study

Longitudinal pathways between maternal mental health in infancy and offspring romantic relationship outcomes in adulthood were examined using a 30‐year prospective longitudinal study of 196 mothers and their children. Structural equation modeling revealed that maternal mental health at 30 months was related to offspring relationship status and relationship attachment insecurity at 30 years. The adolescent variables of offspring mental health and parental relationship status mediated the link between maternal mental health and offspring relationship status. In addition, adolescent mental health and family conflict mediated the pathway between maternal mental health and offspring attachment insecurity. These results highlight the importance of individual and parental mental health to romantic relationship outcomes, and emphasize the value of taking a developmental approach to the study of romantic relationships.     

Power at a distance: Organizational power across boundaries

Organizational approaches can help to make sense of social phenomena, including inequality, politics, and culture. This is partly because large organizations exercise great power, both over employees and in their external environments. Revising Charles Perrow's classic account of the “society of organizations” in the 20th century, we argue that the organizational landscape has changed. There has been a dis‐embedding of individuals from organizations that contrasts with Perrow's idea of individuals being “absorbed” by organizations. Despite this hollowing out, there is a persistence of concentrated economic power or “concentration without centralization.” Organizational power in this landscape is increasingly exercised at a distance, not only geographically but also in the sense of moving across organizational boundaries and through technologies of valuation. Three bodies of research exemplify different types of power at a distance. (a) Research on global production networks shows how power travels across geographic and network distances. (b) Research on financialization and its consequences shows how power is mediated by frames and metrics. (c) Emerging research on big data and Artificial Intelligence shows how power is encoded into seemingly neutral technologies and made to seem inevitable. This work helps to update the sociology of organizations and opens up new research questions.     

On some flaws of university rankings: The example of the SCImago report

Using France as our main example, we show there is a much scope for improving the SCImago ranking. We detect problems of nomenclature, double affiliation, aggregation and of bias toward large public-funded research organizations. The output per scholar is more important than the output per organization. The examples we cite suggest that only detailed knowledge of the situation can help in addressing the issue and take us beyond any automatic reading of the metadata.     

Reference‐based sensitivity analysis for time‐to‐event data

The analysis of time‐to‐event data typically makes the censoring at random assumption, ie, that—conditional on covariates in the model—the distribution of event times is the same, whether they are observed or unobserved (ie, right censored). When patients who remain in follow‐up stay on their assigned treatment, then analysis under this assumption broadly addresses the de jure, or “while on treatment strategy” estimand. In such cases, we may well wish to explore the robustness of our inference to more pragmatic, de facto or “treatment policy strategy,” assumptions about the behaviour of patients post‐censoring. This is particularly the case when censoring occurs because patients change, or revert, to the usual (ie, reference) standard of care. Recent work has shown how such questions can be addressed for trials with continuous outcome data and longitudinal follow‐up, using reference‐based multiple imputation. For example, patients in the active arm may have their missing data imputed assuming they reverted to the control (ie, reference) intervention on withdrawal. Reference‐based imputation has two advantages: (a) it avoids the user specifying numerous parameters describing the distribution of patients' postwithdrawal data and (b) it is, to a good approximation, information anchored, so that the proportion of information lost due to missing data under the primary analysis is held constant across the sensitivity analyses. In this article, we build on recent work in the survival context, proposing a class of reference‐based assumptions appropriate for time‐to‐event data. We report a simulation study exploring the extent to which the multiple imputation estimator (using Rubin's variance formula) is information anchored in this setting and then illustrate the approach by reanalysing data from a randomized trial, which compared medical therapy with angioplasty for patients presenting with angina.