Dipeptidyl-peptidase II and cathepsin B activities in amelogenesis of the rat incisor

A body of published evidence suggests that a significant portion of enamel matrix protein synthesized by ameloblasts localises in the lysosomal-endosomal organelles of these enamel organ cells. Little is known regarding the lysosomal proteolytic activities during amelogenesis. The aims of this study were to detect and measure the activities of lysosomal peptidases cathepsin B (E.C. 3.4.22.1) and dipeptidyl-peptidase II (E.C. 3.4.14.2) in the enamel organ of the rat incisor and to ascertain whether rat enamel matrix proteins are degraded by these peptidases in vitro. Whole enamel organs were dissected from rat mandibular incisors. Enamel protein was also collected from the rat teeth. Analysis indicated that the rat incisor enamel organs contained specific activities of both dipeptidyl-peptidase II and cathepsin B at levels comparable with those of kidney which is rich in both these lysosomal peptidases. Gel electrophoresis and immunoblotting demonstrated that both cathepsin B and dipeptidyl-peptidase II were able to substantially degrade the rat enamel proteins in vitro. Based on these observations, we propose that lysosomal proteases have roles in amelogenesis in the intracellular degradation of amelogenins.

Listening to the 'voices' of students with severe learning difficulties through a task-based approach to research and learning in physical education

In this article, Hayley Fitzgerald, Anne Jobling and David Kirk consider the physical education and sporting experiences of a group of students with severe learning difficulties. Their study is thought provoking, not only because of the important and somewhat neglected subject matter, but equally for the research approach adopted. The way in which the study engaged with the students and the insights gained from that engagement will be of particular interest to practitioner researchers.

Is discrepancy between actual and preferred work activities a factor in work-related stress for mental health occupational therapists and social workers

In the Western developed nations, the changing pattern of mental health care provision has necessitated mental health staff adopting new approaches to service delivery across a diverse and expanding range of service settings. The impact of changed service delivery on Australian mental health professionals is an area that has not been well studied. The aim of the study was to identify the current clinical work activities performed by occupational therapists and social workers and whether there was a discrepancy between the actual and preferred work activities. The study also aimed to identify whether any discrepancy between their actual and preferred clinical work activities was associated with higher levels of stress. A cross-sectional survey of 304 (response rate 76.6%) occupational therapists and social workers in Australian mental health services was conducted. A work activities scale developed specifically for this study and the Mental Health Professionals Stress Scale were used to measure actual and preferred work activities and stress respectively. Both groups experienced a discrepancy between their actual and preferred work activities, with the occupational therapists and the social workers mostly wanting to undertake a diverse range of activities to a significantly greater extent than they currently were. As predicted, stress was associated with the discrepancy between the kind of work that the participants wanted to do and the kind of work that their job actually entailed. Health workers require assistance to adapt to their new work roles and to achieve a balance between generic and discipline-specific competencies. This has implications for education and professional training.

Representation and learning of visual information for pose recognition

Recovering position from sensor information is an important problem in mobile robotics, known as localisation. Localisation requires a map or some other description of the environment to provide the robot with a context to interpret sensor data. The mobile robot system under discussion is using an artificial neural representation of position. Building a geometrical map of the environment with a single camera and artificial neural networks is difficult. Instead it would be simpler to learn position as a function of the visual input. Usually when learning images, an intermediate representation is employed. An appropriate starting point for biologically plausible image representation is the complex cells of the visual cortex, which have invariance properties that appear useful for localisation. The effectiveness for localisation of two different complex cell models are evaluated. Finally the ability of a simple neural network with single shot learning to recognise these representations and localise a robot is examined.