Seeking A Sustainable Journey to Work: Findings from the National Bridges to Work Demonstration

The Bridges to Work demonstration was designed to test whether efforts to help inner-city job seekers overcome barriers to accessing suburban jobs would result in better employment opportunities and earnings for these workers. This report examines outcomes for more than 1,800 applicants to Bridges to Work, half of whom were randomly selected to receive the programs transportation, job placement and supportive services for up to 18 months and half who were not offered these services. The researchers found that Bridges to Work did not positively impact participants employment and earnings, results that were consistent across cities and across various strategies for providing transportation services. Given the programs implementation challenges, costs and lack of results, the report concludes that the Bridges model is not a viable policy response to the mismatch between the location of jobs and the location of unemployed workers. However, the models lack of success does not diminish the importance of improving transportation options to increase workers access to employment, and the authors derive a number of important lessons from the demonstrations experience to inform future mobility efforts

Student Attitude to Audio Versus Written Feedback

First year Biology at the University of Glasgow consists of two courses, 1A and 1B, with an annual intake of 750-800 students. Both courses consist of lectures, practical lab sessions, tutorials and discussion groups. With such large numbers of students, teaching methods and delivery continually change and develop to ensure best delivery of the course content. As such, assessment and feedback systems also need to remain current and accessible to all. Timely, instructive and developmental feedback on student work is arguably the most powerful single influence on a student’s ability to learn. As part of the transition from school into university, feedback is a recognised method of maximising student potential (Hattie and Timperley, 2007). Research shows that increasing student numbers and associated rise in marking workloads, means that feedback can be slow in returning to the student and lacking quality/detail (Glover and Brown, 2006). From the markers perspective there is some evidence that students fail to engage with, misinterpret or ignore written feedback. We have carried out a pilot study to apply, and attempt to build upon, principles of good feedback practice to the assessment of coursework. To do this, an essay assignment was submitted online by Biology 1A students, marked and written feedback provided to all. A randomly selected group of students (10% of the cohort) also received audio feedback (electronic audio files were imbedded into the student work and returned to them by e-mail) on their submitted work. All students then completed an anonymous ‘Feedback’ questionnaire detailing their experiences with the feedback they received, with additional questions that were answered solely by the ‘audio group’ asking more specific questions about the effectiveness of the audio feedback. To carry out this study, new technologies were utilised and these will be demonstrated at the meeting along with the study conclusions. Hattie, J. and Timperley, H. (2007) The power of feedback. Review of Educational Research, 77, 81–112 Glover, C. and Brown, E. (2006). Written Feedback for Students: too much, too detailed or too incomprehensible to be effective? Bioscience Education, 7

Designing and implementing a new advanced level biology course.

Salters-Nuffield Advanced Biology is a new advanced level biology course currently being piloted from September 2002 in England with around 1200 students. This paper discusses the reasons for developing a new advanced biology course at this time, the philosophy of the project and how the materials are being written and the specification devised. The aim of the project is to provide an up-to-date course that interests students, is considered appropriate by teachers and other professionals in biology, and takes full advantage of modern developments in biology and in teaching

A SUMMARY OF THE LITERATURE ON SHIFT-SHARE ANALYSIS

Shift-share analysis is a method of decomposing regional income or employment growth patterns into expected (share) and differential (shift) components. Since its inception in the 1940s, over seventy academic contributions have criticized, defended, and extended the original concept. These contributions are summarized, and research needs for the future are identified.Community/Rural/Urban Development,

Fluorescence visualization of a convective instability which modulates the spreading of volatile surface films

The spontaneous spreading of a thin liquid film along the surface of a deep liquid layer of higher surface tension is a ubiquitous process which provides rapid and efficient surface transport of organic or biological material. For a source of constant concentration, the leading edge of a nonvolatile, immiscible film driven to spread by gradients in surface tension is known to advance as t^3/4 in time. Recent experiments using laser shadowgraphy to detect the advancing front of spreading films indicate, however, that immiscible but volatile sources of constant concentration spread with a reduced exponent according to t^1/2. Using a novel technique whereby fluorescent lines are inscribed in water, we have detected the evolution of a thermal instability beneath the leading edge of volatile films which strongly resembles a Rayleigh-Bénard roll. We propose that the increased dissipation from this rotational flow structure is likely responsible for the reduction in spreading exponent. This observation suggests a conceptual framework for coupling the effects of evaporation to the dynamics of spreading

A catch-free stock assessment model with application to goliath grouper (Epinephelus itajara) off southern Florida

Many modern stock assessment methods provide the machinery for determining the status of a stock in relation to certain reference points and for estimating how quickly a stock can be rebuilt. However, these methods typically require catch data, which are not always available. We introduce a model-based framework for estimating reference points, stock status, and recovery times in situations where catch data and other measures of absolute abundance are unavailable. The specif ic estimator developed is essentially an age-structured production model recast in terms relative to pre-exploitation levels. A Bayesian estimation scheme is adopted to allow the incorporation of pertinent auxiliary information such as might be obtained from meta-analyses of similar stocks or anecdotal observations. The approach is applied to the population of goliath grouper (Epinephelus itajara) off southern Florida, for which there are three indices of relative abundance but no reliable catch data. The results confirm anecdotal accounts of a marked decline in abundance during the 1980s followed by a substantial increase after the harvest of goliath grouper was banned in 1990. The ban appears to have reduced fishing pressure to between 10% and 50% of the levels observed during the 1980s. Nevertheless, the predicted fishing mortality rate under the ban appears to remain substantial, perhaps owing to illegal harvest and depth-related release mortality. As a result, the base model predicts that there is less than a 40% chance that the spawning biomass will recover to a level that would produce a 50% spawning potential ratio

Technology that enhances without inhibiting learning

Technology supported information sharing could be argued to both enhance and inhibit learning. However, social and affective issues that motivate learners' technology interactions are often overlooked. Are learners avoiding valuable learning applications because of privacy fears and trust issues? Will inaccurate technology assumptions and awareness inhibit information sharing? Do learners need control over technology enhanced safe creative spaces or can they be motivated to overcome badly designed systems because sharing is 'valuable' or 'fun'. This presentation details a model of privacy and trust issues that can be used to enhance elearning. Several OU case-studies of multimedia, mobile and elearning applications (conducted within IET, KMI and the Open CETL) are evaluated using this model. The model helps to identify trade-offs that learners make for technology enhanced or inhibited learning. Theories of control, identity, information sensitivity and re-use are discussed within the context of these elearning examples

Supporting State Policymakers' Implementation of Federal Health Reform

Outlines the capacities states will need to implement federal healthcare reform in the areas of information and analysis, strategic implementation and planning, topic-specific technical assistance, communications, and coordination and integration

Nurse forecasting in Europe (RN4CAST): Rationale, design and methodology

Background: Current human resources planning models in nursing are unreliable and ineffective as they consider volumes, but ignore effects on quality in patient care. The project RN4CAST aims innovative forecasting methods by addressing not only volumes, but quality of nursing staff as well as quality of patient care. Methods/Design: A multi-country, multilevel cross-sectional design is used to obtain important unmeasured factors in forecasting models including how features of hospital work environments impact on nurse recruitment, retention and patient outcomes. In each of the 12 participating European countries, at least 30 general acute hospitals were sampled. Data are gathered via four data sources (nurse, patient and organizational surveys and via routinely collected hospital discharge data). All staff nurses of a random selection of medical and surgical units (at least 2 per hospital) were surveyed. The nurse survey has the purpose to measure the experiences of nurses on their job (e.g. job satisfaction, burnout) as well as to allow the creation of aggregated hospital level measures of staffing and working conditions. The patient survey is organized in a sub-sample of countries and hospitals using a one-day census approach to measure the patient experiences with medical and nursing care. In addition to conducting a patient survey, hospital discharge abstract datasets will be used to calculate additional patient outcomes like in-hospital mortality and failure-to-rescue. Via the organizational survey, information about the organizational profile (e.g. bed size, types of technology available, teaching status) is collected to control the analyses for institutional differences. This information will be linked via common identifiers and the relationships between different aspects of the nursing work environment and patient and nurse outcomes will be studied by using multilevel regression type analyses. These results will be used to simulate the impact of changing different aspects of the nursing work environment on quality of care and satisfaction of the nursing workforce. Discussion: RN4CAST is one of the largest nurse workforce studies ever conducted in Europe, will add to accuracy of forecasting models and generate new approaches to more effective management of nursing resources in Europe

Using TPA to count linear extensions

A linear extension of a poset $P$ is a permutation of the elements of the set that respects the partial order. Let $L(P)$ denote the number of linear extensions. It is a #P complete problem to determine $L(P)$ exactly for an arbitrary poset, and so randomized approximation algorithms that draw randomly from the set of linear extensions are used. In this work, the set of linear extensions is embedded in a larger state space with a continuous parameter ?. The introduction of a continuous parameter allows for the use of a more efficient method for approximating $L(P)$ called TPA. Our primary result is that it is possible to sample from this continuous embedding in time that as fast or faster than the best known methods for sampling uniformly from linear extensions. For a poset containing $n$ elements, this means we can approximate $L(P)$ to within a factor of $1 + \epsilon$ with probability at least $1 - \delta$ using an expected number of random bits and comparisons in the poset which is at most $O(n^3(ln n)(ln L(P))\epsilon^{-2}\ln \delta^{-1}).$Comment: 12 pages, 4 algorithm