‘It's a different world out there’: improving how academics prepare health science students for rural and Indigenous practice in Australia

Rural and Aboriginal and Torres Strait Islander (Indigenous) health content in undergraduate health science curricula in Western Australia has been limited. In 2008, a three-and-a-half-day, rurally-based, intercultural and inter-disciplinary programme for academics from three universities aimed to improve how academics prepared health science students for work in this area. Situated learning theory underpinned the programme's design, which prioritised context and participation in the construction of knowledge: academics lived ‘on country’ and participated in the lived experience of a rural and Indigenous community. Semi-structured phone interviews with 21 academics four months later indicated this approach had radically changed thinking and led to a desire to improve rural and Indigenous health and teaching practice. Targeting academics to learn about rural and Indigenous health in situ is one promising strategy for improving undergraduate health science education in this priority area.     

The role of collaborative networks in supporting the innovation performances of lagging-behind European regions

In rapidly changing regional economies, less innovative European regions (henceforth referred to as lagging-behind regions) must actively work to reduce the gap between them and knowledge-intensive regions. Recent literature has stressed that the lack of efficient institutional settings reduces the opportunities of local knowledge spillover and increases the need for local organisations to exploit collaborative networks to better support their innovation performance. In this light, since increasing attention has recently been directed at the role of inter-regional collaborations, we have measured the capacity of local innovative organisations embedded in lagging-behind European regions to develop internal and external regional inventors’ networks by exploring their collaborative patenting processes. Then, a seven-year panel dataset (2002–2008) was organised using patents data at a regional level to validate the research hypothesis that collaborations, and specifically with highly innovative (knowledge-intensive) regions, positively affect the innovation performances of lagging-behind regions. Finally, the implications of EU policies for supporting lagging-behind regions are discussed.     

Control of impact loading during distracted running before and after gait retraining in runners

Gait retraining using visual biofeedback has been reported to reduce impact loading in runners. However, most of the previous studies did not adequately examine the level of motor learning after training, as the modified gait pattern was not tested in a dual-task condition. Hence, this study sought to compare the landing peak positive acceleration (PPA) and vertical loading rates during distracted running before and after gait retraining. Sixteen recreational runners underwent a two-week visual biofeedback gait retraining program for impact loading reduction, with feedback on the PPA measured at heel. In the evaluation of PPA and vertical loading rates before and after the retraining, the participants performed a cognitive and verbal counting task while running. Repeated measures ANOVA indicated a significant interaction between feedback and training on PPA (F = 4.642; P = 0.048) but not vertical loading rates (F > 1.953; P > 0.067). Pairwise comparisons indicated a significantly lower PPA and vertical loading rates after gait retraining (P < 0.007; Cohen’s d > 0.68). Visual feedback after gait retraining reduced PPA and vertical loading rates during distracted running (P < 0.033; Cohen’s d > 0.36). Gait retraining is effective in lowering impact loading even when the runners are distracted. In dual-task situation, visual biofeedback provided beneficial influence on kinetics control after gait retraining.     

Identification of a nonlinear dynamic biological model using the dominant parameter selection method

The identification of nonlinear models sometimes encounters problems because of the limited amount of available measurements in combination with a large number of uncertain model parameters to be identified. E.g., the determination of the chemical composition of a lettuce crop is a rather expensive procedure; thus the number of experimental measurements is limited. As a result, the number of parameters of the dynamic model that can be successively identified is also limited, and the subset of the parameters to be identified must be chosen in a reasonable way.Parameter estimation for an extended nonlinear three-state model for lettuce growth in greenhouses is presented in this paper. The varying structural nitrogen concentration and water contents are the new elements included in the model. The dominant parameter selection (DPS) method was used to select a suitable set of identifiable parameters. The resulting calibrated model predicts quite well the experimental data which also include observations with severe nitrogen stress.     

A plea for research on lay literacy

This paper distinguishes scribal literacy, the ability to read and write, from lay literacy, the pervasive set of assumptions taken for granted by readers and non-readers who participate in a literate society. The task for the study of literacy is to uncover and examine these assumptions. The route to the discovery of these literate assumptions is through a consideration of the relations between the vernacular and the literate forms of language.     

Best-bet channels for integrated soil fertility management communication and dissemination along the agricultural product value-chain: a comparison of northern Ghana and western Kenya

Purpose: The aim of this paper is to comparatively assess the most suitable channels for dissemination of agricultural innovations along the entire information value chain.

Design/Methodology/Approach: We calculated information scores to measure channel preference from a randomly selected sample of farmers: 285 in Tamale, Ghana and 300 in Kakamega, Kenya. Using t-tests we compared the information score differences of different channels between farmers who adopted Integrated Soil Fertility Management and those who did not.

Findings: The highest information scores were observed for radio along the entire value chain for both locations. However, farmers in Tamale prefered interpersonal channels for processing information. Radio and farmer field days had the highest rankings for production information at both locations. Radio, workshops and interpersonal channels (traders and neighbours/friends/relatives) were best-bet channels for marketing and procesing information.

Practical implication: Extension agents should place more emphasis on channels such as radio, farmer field days, and workshops as they may offer more efficient delivery of information packages at all levels, whilst recognizing the central role of interpersonal channels.

Theoretical implication: The nexus between the uses and gratification, adoption, diffusion of innovations theories and the collaborative communication theory on one hand, and the agricultural product value chain framework on the other, is highlighted. Farmers’ preference for information channels is not predicated on the stage of the value chain.

Originality/Value: In the current context of weak agricultural knowledge and innovation systems in African agriculture, agricultural producers are poorly informed about the current innovations. This study furnishes empirical evidence on the best-bet information channels to be used by extension workers and change agents to disseminate and communicate system innovations.