An image-based eyelid lesion management service-evaluation of a pilot.

Background/aims: Oculoplastics is a predominantly visual specialty and many of the pathologies can be diagnosed based on external appearance. An image-based eyelid lesion management service was piloted to reduce the number of patients who would require outpatient clinic review. The aim of this study was to determine its accuracy and feasibility, both as a hospital-based and community optometrist-based service.

Exploring the Utility and Student Perceptions of Synthetic Cadavers in an Undergraduate Human Anatomy Course.

The synthetic cadaver is a high-fidelity model intended to replace or supplement other anatomy learning modalities. Academic attainment and student perceptions were examined in an undergraduate human anatomy course using a combination of plastic models and synthetic cadavers to learn lower body anatomy ("Experimental group"), compared to a Historical group who used only plastic models. Grades on an upper body test, for which both groups used only plastic models, were compared to ensure that no academic differences existed between groups (P = 0.

Task selection for increased mechanical exposure variation: relevance to job rotation.

It is generally considered that variation in mechanical exposure is beneficial from the viewpoint of preventing musculoskeletal disorders. An approach to quantifying the functional similarity of manual tasks was developed and tested by using three handgrips: power grip (PG); pulp pinch (PP); lateral pinch (LP). Changes in maximal voluntary contraction (MVC) forces were measured during 15 combinations of 2-min duration, 30% MVC isometric contraction in 25 participants.

Artificial neural network method for solution of boundary value problems with exact satisfaction of arbitrary boundary conditions.

A method for solving boundary value problems (BVPs) is introduced using artificial neural networks (ANNs) for irregular domain boundaries with mixed Dirichlet/Neumann boundary conditions (BCs). The approximate ANN solution automatically satisfies BCs at all stages of training, including before training commences. This method is simpler than other ANN methods for solving BVPs due to its unconstrained nature and because automatic satisfaction of Dirichlet BCs provides a good starting approximate solution for significant portions of the domain.