Robots as embodied beings- Interactionally sensitive body movements in interactions among autistic children and a robot

Peer reviewe

Evaluating the impact of the rural dimension of specialism

Commissioned by the Specialist Schools and Academies TrustThe rural dimension is intended to offer the opportunity to schools to enhance and extend the curriculum. Its focus is the understanding of environmental issues and the countryside, and it is seen as relevant to all schools, including those in urban areas. The Specialist Schools and Academies Trust (SSAT) wishes to evaluate the extent to which the rural dimension is effective in raising standards. The aim of this study, commissioned by the SSAT, was to ascertain the extent to which the work schools undertake as part of their rural dimension has a demonstrable impact on achievement and attainment - in particular concerning: 1) attainment (pupil performance and school standards); 2) behaviour and attendance (on the part of pupils); 3) engagement (pupil interest and motivation, and raising aspirations among pupils and their families). The approach taken in the study is chiefly an interpretative and illuminative one with the aim of throwing light on how the rural dimension acts as an influence within the school context. Rather than looking for linear cause-and-effect, methodologically it was seen as more helpful to view organisations as complex processes of continual interaction in which any one initiative is the catalyst to multiple interpretations and reactions which generate further initiatives. Qualitative data are particularly helpful in throwing light on these processes. An exploratory case study approach was used, generating both qualitative and quantitative data in order to reflect the complexity of practice and experience in the rural dimension. Six case study schools were selected from rural dimension schools which expressed a wish to participate in the study. Criteria were used to maximise the variation in the sample used, although those with relatively large farms are over-represented. Each of the six case study schools was visited by one or more of the research team. Visits involved interviews, observation and perusal and collection of documentary data (including schools’ websites). This report also includes a selective literature review, highlighting some of the issues concerning research into specialisms and the value of education for sustainable development

Gambling and the use of credit: an individual and household level analysis

We explore the relationship between gambling and other forms of risk-taking behaviour, i.e. exposure to debt and the use of credit, at the individual and household level using representative pooled cross-section data drawn from the UK Expenditure and Food Surveys (EFS), 2001 to 2007. Gambling and the use of credit are shown to be positively correlated at the household level. While both the incidence and amount of gambling vary according to household income, the positive association between gambling and the use of credit is remarkably stable across household income. In addition to our household level analysis, we also explore the prevalence of intra-household gambling, which has attracted relatively limited attention in the existing literature. It is apparent that there is strong intra-household correlation in both gambling activity and in the use of credit, with somewhat stronger relationships in lower income households

Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms During High-Demand Hours

Rideshare platforms, when assigning requests to drivers, tend to maximize profit for the system and/or minimize waiting time for riders. Such platforms can exacerbate biases that drivers may have over certain types of requests. We consider the case of peak hours when the demand for rides is more than the supply of drivers. Drivers are well aware of their advantage during the peak hours and can choose to be selective about which rides to accept. Moreover, if in such a scenario, the assignment of requests to drivers (by the platform) is made only to maximize profit and/or minimize wait time for riders, requests of a certain type (e.g. from a non-popular pickup location, or to a non-popular drop-off location) might never be assigned to a driver. Such a system can be highly unfair to riders. However, increasing fairness might come at a cost of the overall profit made by the rideshare platform. To balance these conflicting goals, we present a flexible, non-adaptive algorithm, \lpalg, that allows the platform designer to control the profit and fairness of the system via parameters $\alpha$ and $\beta$ respectively. We model the matching problem as an online bipartite matching where the set of drivers is offline and requests arrive online. Upon the arrival of a request, we use \lpalg to assign it to a driver (the driver might then choose to accept or reject it) or reject the request. We formalize the measures of profit and fairness in our setting and show that by using \lpalg, the competitive ratios for profit and fairness measures would be no worse than $\alpha/e$ and $\beta/e$ respectively. Extensive experimental results on both real-world and synthetic datasets confirm the validity of our theoretical lower bounds. Additionally, they show that \lpalg under some choice of $(\alpha, \beta)$ can beat two natural heuristics, Greedy and Uniform, on \emph{both} fairness and profit

A Comparative Study on The Stress Levels of Black, White, Asian, and Latino Undergraduate Students

Research found that undergraduates who had poor academic performance and experienced depression and anxiety were reported to have encountered higher levels of stress than those students who persisted (Andrews & Wilding, 2004; Bennett, 2003). It also was found that minority students had a higher tendency to experience stress than their counterparts. Although, universities allocate resources to recruit minority undergraduates and provide various types of support, many universities tend to be limited in the resources for handling and detecting stressors among college students. The purpose of this research was to investigate the different levels of stress faced by minority college students and also to take a systematic look at levels of stress as reported by Black, White, Asian, and Latino students at a major urban university on the East Coast of the United States. The findings indicated no significant differences in the stress levels in regards to students’ ethnicity. It is imperative that college recruiters understand that although students may be diverse in their ethnicity, they also arrive on campus from diverse family backgrounds, meaning that a large percentage come from low income homes and many are first-generation college students. Therefore, academic leaders should consider creating programs and interventions that would provide support for students who are members of these underrepresented groups

Effects of hybrid maturity and growth stage on yield and composition of forage and grain sorghums when harvested as silage

Thirteen sorghum hybrids chosen to represent a range of sorghum types were evaluated in two separate trials. Each was harvested at three stages of grain development: milk to early-dough, late-dough, and hard-grain. Among the forage sorghums, there was a 26-day range in days to half bloom from early to late maturing varieties. Harvest date did not affect crude protein content. However, whole-plant DM yield was significantly lower at the last harvest for the three latest maturing varieties. Grain yield increased over time in the early and intermediate hybrids. Lodging increased significantly over time for all varieties except DeKalb FS-25E. Among the grain sorghums, there was only a 4-day range in days to half bloom and very little difference in plant height. The forage sorghum was later maturing and taller. Whole-plant DM yields for the grain sorghums were highest at late-dough. Grain yields and grain to forage ratios generally increased with maturity, except when there were losses due to birds. Grain sorghums started to lodge by the hard-grain stage

Confluent Orthogonal Drawings of Syntax Diagrams

We provide a pipeline for generating syntax diagrams (also called railroad diagrams) from context free grammars. Syntax diagrams are a graphical representation of a context free language, which we formalize abstractly as a set of mutually recursive nondeterministic finite automata and draw by combining elements from the confluent drawing, layered drawing, and smooth orthogonal drawing styles. Within our pipeline we introduce several heuristics that modify the grammar but preserve the language, improving the aesthetics of the final drawing.Comment: GD 201