University of Salford

About: University of Salford is a education organization based out in Salford, Manchester, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 13049 authors who have published 22957 publications receiving 537330 citations. The organization is also known as: University of Salford Manchester & The University of Salford Manchester.

Assessing ‘inexperienced’ students' ability to self‐assess: exploring links with learning style and academic personal control

Abstract: The study sought to establish the level of students' self‐assessment skill—particularly inexperienced students—and to examine the relationship between self‐assessment skill and learning style, student perceptions of academic locus of control and academic self‐efficacy. Students were asked to evaluate and provide estimated marks for their own work, were which compared with tutors' actual marks. Students also completed measures of learning style, academic locus control and academic self‐efficacy. Comparisons of student estimated and tutor marks indicated a good level of self‐assessment skill in the majority of students. A significant minority of students did however fail to exhibit such skills. There was also some evidence of a tendency for students to underestimate their performance. While both strategic and deep approaches to learning were shown to be positively correlated with tutor mark, only surface approach was negatively correlated with students' estimated mark, suggesting that surface learners are i...

Environmental DNA reveals tropical shark diversity in contrasting levels of anthropogenic impact

Abstract: Sharks are charismatic predators that play a key role in most marine food webs. Their demonstrated vulnerability to exploitation has recently turned them into flagship species in ocean conservation. Yet, the assessment and monitoring of the distribution and abundance of such mobile species in marine environments remain challenging, often invasive and resource-intensive. Here we pilot a novel, rapid and non-invasive environmental DNA (eDNA) metabarcoding approach specifically targeted to infer shark presence, diversity and eDNA read abundance in tropical habitats. We identified at least 21 shark species, from both Caribbean and Pacific Coral Sea water samples, whose geographical patterns of diversity and read abundance coincide with geographical differences in levels of anthropogenic pressure and conservation effort. We demonstrate that eDNA metabarcoding can be effectively employed to study shark diversity. Further developments in this field have the potential to drastically enhance our ability to assess and monitor elusive oceanic predators, and lead to improved conservation strategies.

Capillary growth in relation to blood flow and performance in overloaded rat skeletal muscle

Abstract: Rat extensor digitorum longus muscles were overloaded by stretch after removal of the synergist tibialis anterior muscle to determine the relationship between capillary growth, muscle blood flow, a...

Demand categorisation in a European spare parts logistics network

Abstract: Purpose – Spare parts have become ubiquitous in modern societies and managing their requirements is an important and challenging task with tremendous cost implications for the organisations that are holding relevant inventories. An important operational issue involved in the management of spare parts is that of categorising the relevant stock keeping units (SKUs) in order to facilitate decision-making with respect to forecasting and stock control and to enable managers to focus their attention on the most “important” SKUs. This issue has been overlooked in the academic literature although it constitutes a significant opportunity for increasing spare parts availability and/or reducing inventory costs. Moreover, and despite the huge literature developed since the 1970s on issues related to stock control for spare parts, very few studies actually consider empirical solution implementation and with few exceptions, case studies are lacking. Such a case study is described in this paper, the purpose of which is to offer insight into relevant business practices. Design/methodology/approach – The issue of demand categorisation (including forecasting and stock control) for spare parts management is addressed and details reported of a project undertaken by an international business machine manufacturer for the purpose of improving its European spare parts logistics operations. The paper describes the actual intervention within the organisation in question, as well as the empirical benefits and the lessons learned from such a project. Findings – This paper demonstrates the considerable scope that exists for improving relevant real word practices. It shows that simple well-informed solutions result in substantial organisational savings. Originality/value – This paper provides insight into the empirical utilisation of demand categorisation theory for forecasting and stock control and provides some very much needed empirical evidence on pertinent issues. In that respect, it should be of interest to both academics and practitioners.