No abstract

We investigated the effect of color-vision deficiency on reaction times and accuracy of identification of traffic light signals. Participants were 20 color-normal and 49 color-deficient males, the latter divided into subgroups of different severity and type. Participants performed a tracking task. At random intervals, stimuli simulating standard traffic light signals were presented against a white background at 5 degrees to right or left. Participants identified stimulus color (red/yellow/green) by pressing an appropriate response button. Mean response times for color normals were 525, 410, and 450 ms for red, yellow, and green lights, respectively. For color deficients, response times to red lights increased with increase in severity of color deficiency, with deutans performing worse than protans of similar severity: response times of deuteranopes and protanopes were 53% and 35% longer than those of color normals. A similar pattern occurred for yellow lights, with deuteranopes and protanopes having increased response times of 85% and 53%, respectively. For green lights, response times of all groups were similar. Error rates showed patterns similar to those of response times. Contrary to previous studies, deutans performed much worse than protans of similar severity. Actual or potential applications of this research include traffic signal design and driver licensing.

Background: Early diagnosis and treatment of diabetes mellitus is importam for limiting its adverse effects. We sought to determine the level of awareness of diabetes and its ocular complications within the community and among the members of Diabetes Australia. Methods: Two groups were surveyed: 1. 1,000 people randomly selected from the Queensland electoral role (people without diabetes) and 2. A random sample of 500 members of Diabetes Australia (Queensland) (people with diabetes). The surveys consisted primarily of questions relating to the person's current knowledge of diabetes, including ocular and health complications, and their knowledge of available eye care services. Resulte: The rate of return was greater for the members of Diabetes Australia (58.6 per cent) than for the public (33.5 per cent). The majority of respondents without diabetes tended to consult an optometrist for their eye care (76 per cent), while the group with diabetes consulted ophthalmologists more (63.6 per cent). People with diabetes tended to have more frequent eye examinations, 86.7 per cent had been for an eye examination within the preceding 18 months (compared with 36.6 per cent of the public). The levei of awareness of the ocular effects of diabetes was high: 96 per cent of people with and 78.5 per cent of people without diabetes knew that diabetes could be sight‐threatening. Conclusion: The membership of Diabetes Australia had a greater understanding of the possible ocular effects of diabetes and the need for regular eye examinations than the general community. Potential sample bias and the fact that respondents could infer a link between eye problems and diabetes from the survey questions should be taken into account in interpreting the data presented here.

Background: Diabetes mellitus is a systemic disease affecting approximately 750,000 Australians ofwhom more than 70,000 are Queenslanders. It can have serious ocular consequences and patients with diabetes require regular eye examinations to determine the degree of ocular involvement and the stage of retinopathy, if present. It is important that optometrists detect diabetic retinal changes and refer appropriately. We sought to determine the proficiency of optometrists at detecting retinal changes caused by diabetes. Methods: The study comprised four parts: 1. Nineteen randomly recruited Australian Optometrists practising in Queensland completed a questionnaire on their experiences seeing patients with diabetes. 2. They examined the ocular fundi of 10 patients. 3. They viewed retinal slides of 12 additional cases. 4. They attended a follow-up seminar on diabetes and the cases. They were informed that the patients did not necessarily have diabetes and instructed not to discuss the condition with the patient or their colleagues. The optometrists were allowed seven minutes per station to examine the patient or the slides and write down their responses before moving to the next station. Results: When the slides and patients were considered together, cases where diabetic retinopathy was present were correctly identified by 94.0 per cent of the optometrists and cases where retinopathy was not present were correctly identified by 93.6 per cent of the optometrists. When all assessments were considered together, the correct detection/differential diagnosis rate was 88.3 per cent. Sub-classification of diabetic retinopathy severity agreed with that of the reference examiners in 58.3 per cent of assessments and there was agreement on management in 79.4 per cent of cases. Of the 22 assessments undertaken by each optometrist, there were, on average, 2.5 errors. Conclusion: Randomly selected Australian optometrists are able to detect and grade diabetic retinal changes solely by retinal examination and refer the patients requiring specialist care.

Accent is the pattern of pronunciation and acoustic features in speech which can identify a person's linguistic, social or cultural background. It is an important source of inter-speaker variability, and a particular problem for automated speech recognition. Current approaches to the identification of speaker accent may require specialised linguistic knowledge or analysis of the particular speech contrasts, and often extensive pre-processing on large amounts of data. An accent classification system using time-based segments consisting of Mel Frequency Cepstral Coefficients as features and employing Support Vector Machines is studied for a small corpus of two accents of English. On one-to four-second audio samples from three topics, accuracy in the binary classification task is up to 75% to 97.5%, with very high recall and precision. Its use with mis-matched content is at best 85%, with a tendency towards majority-class classification if the accent groups are significantly imbalanced.