52,690 research outputs found
The stewardship of things: Property and responsibility in the management of manufactured goods
In the context of broad-based concerns about the need to move towards a more sustainable materials economy, particularly as they are expressed in debates around ecological modernisation (EM), we argue that product stewardship has radical potential as a means to promote significant change in the relationship between society and the material world. We focus on two important dimensions that have been neglected in approaches to product stewardship to date. Firstly, we argue that immanent within the basic concept of stewardship is a problematisation of dominant understandings of property ownership in neoliberal market economies. In the space opened up by notions of stewardship, different ways of enacting both rights and responsibilities to products and materials emerge which have potential to advance the sustainability of material economies. Secondly, through exploration of existing expressions of product stewardship, we uncover a neglected scale of action. Both policy and dominant articulations of EM focus primarily on the efficiency of production processes; and secondarily, the attitudes and behaviours of individual consumers. Missing from this is the 'meso-scale' of social collectives including households, neighbourhoods, more distributed communities and small scale social enterprises. Based on a review of existing research from Australia and the UK, including our own, we argue that understanding of embedded practices of material responsibility at the household scale can both reinvigorate the concept of product stewardship as a potentially radical intervention, and reveal the potential of the meso-scale as a challenging but worthwhile realm of policy intervention
A Wolf in Sheep���s Clothing? An analysis of student engagement with virtual learning environments.
The article is freely available on-line via The Higher Education Academy website.The growth in the use of virtual learning environments to support learning and teaching should be accompanied by research to examine their effectiveness. The aim of this study was twofold: a) To explore the views, opinions and experiences of student engagement or non-engagement in online learning activities; b) To use this knowledge to develop learning and teaching strategies that enhance student engagement with online learning activities. Focus groups were conducted with students studying leisure and tourism degree programmes to explore reasons for usage and non-usage of the online activities in the Wolverhampton Online Learning Framework (WOLF). Results identified issues related to student awareness, motivation, behaviour and learning approaches, assessment and technical factors. Findings from the study have implications for practice, including how to enhance the relevance of information, technical factors, enhancing awareness and links with assessment
An evolutionary algorithm for online, resource constrained, multi-vehicle sensing mission planning
Mobile robotic platforms are an indispensable tool for various scientific and
industrial applications. Robots are used to undertake missions whose execution
is constrained by various factors, such as the allocated time or their
remaining energy. Existing solutions for resource constrained multi-robot
sensing mission planning provide optimal plans at a prohibitive computational
complexity for online application [1],[2],[3]. A heuristic approach exists for
an online, resource constrained sensing mission planning for a single vehicle
[4]. This work proposes a Genetic Algorithm (GA) based heuristic for the
Correlated Team Orienteering Problem (CTOP) that is used for planning sensing
and monitoring missions for robotic teams that operate under resource
constraints. The heuristic is compared against optimal Mixed Integer Quadratic
Programming (MIQP) solutions. Results show that the quality of the heuristic
solution is at the worst case equal to the 5% optimal solution. The heuristic
solution proves to be at least 300 times more time efficient in the worst
tested case. The GA heuristic execution required in the worst case less than a
second making it suitable for online execution.Comment: 8 pages, 5 figures, accepted for publication in Robotics and
Automation Letters (RA-L
A reading workbook of stories and exercises with first grade vocabulary and fourth grade interests
Thesis (Ed.M.)--Boston Universit
Differential Astrometry of Sub-arcsecond Scale Binaries at the Palomar Testbed Interferometer
We have used the Palomar Testbed Interferometer to perform very high
precision differential astrometry on the 0.25 arcsecond separation binary star
HD 171779. In 70 minutes of observation we achieve a measurement uncertainty of
approximately 9 micro-arcseconds in one axis, consistent with theoretical
expectations. Night-to-night repeatability over four nights is at the level of
16 micro-arcseconds. This method of very-narrow-angle astrometry may be
extremely useful for searching for planets with masses as small as 0.5 Jupiter
Masses around a previously neglected class of stars -- so-called ``speckle
binaries.'' It will also provide measurements of stellar parameters such as
masses and distances, useful for constraining stellar models at the 10^-3
level.Comment: 19 pages including 6 figures. Submitted to ApJ. Typos corrected,
several parts reworded for clarificatio
Cognitive appraisal of dissertation stress among undergraduate students
The present study examined changes in primary and secondary appraisal, and coping strategies utilized in the final weeks leading to dissertation submission. Sixty volunteer Sports Studies dissertation students (male: n = 29; female: n = 31) completed an adapted Cognitive Appraisal of Health Scale (CAHS: Kessler, 1998), and Brief COPE (Carver, Scheier, & Weintraub, 1989) on 4 occasions over the 6 weeks before dissertation submission. Repeated measures multivariate analysis of variance indicated a significant main effect for gender, with no main effect for changes over time and no significant interaction effect. Results demonstrated that males perceived the dissertation to be significantly more threatening and iess challenging than females. With regard to coping, males used more active coping, positive reframing, planning, and acceptance of the stressor, with lower scores for self-blame, venting of emotions, and behavioral disengagement. The results suggest that, for this student population, the dissertation did not become increasingly stressful in the period before submission. Clear relationships were also evidenced between primary appraisal, secondary appraisal, and coping. Future research should seek to identify factors that moderate the influence of situational stressors on coping responses among undergraduate students
Explicit correlation and intermolecular interactions: Investigating carbon dioxide complexes with the CCSD(T)-F12 method
We have optimized the lowest energy structures and calculated interaction energies for the CO₂–Ar, CO₂–N₂, CO₂–CO, CO₂–H₂O, and CO₂–NH₃ dimers with the recently developed explicitly correlated coupled cluster singles doubles and perturbative triples [CCSD(T)]-F12 methods and the associated VXZ-F12 (where X = D,T,Q) basis sets. For a given cardinal number, we find that results obtained with the CCSD(T)-F12 methods are much closer to the CCSD(T) complete basis set limit than the conventional CCSD(T) results. The relatively modest increase in the computational cost between explicit and conventional CCSD(T) is more than compensated for by the impressive accuracy of the CCSD(T)-F12 method. We recommend use of the CCSD(T)-F12 methods in combination with the VXZ-F12 basis sets for the accurate determination of equilibrium geometries and interaction energies of weakly bound electron donor acceptor complexes
Cluster Computing and the Power of Edge Recognition
We study the robustness--the invariance under definition changes--of the
cluster class CL#P [HHKW05]. This class contains each #P function that is
computed by a balanced Turing machine whose accepting paths always form a
cluster with respect to some length-respecting total order with efficient
adjacency checks. The definition of CL#P is heavily influenced by the defining
paper's focus on (global) orders. In contrast, we define a cluster class,
CLU#P, to capture what seems to us a more natural model of cluster computing.
We prove that the naturalness is costless: CL#P = CLU#P. Then we exploit the
more natural, flexible features of CLU#P to prove new robustness results for
CL#P and to expand what is known about the closure properties of CL#P.
The complexity of recognizing edges--of an ordered collection of computation
paths or of a cluster of accepting computation paths--is central to this study.
Most particularly, our proofs exploit the power of unique discovery of
edges--the ability of nondeterministic functions to, in certain settings,
discover on exactly one (in some cases, on at most one) computation path a
critical piece of information regarding edges of orderings or clusters
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