The a-linolenic acid content of green vegetables commonly available in Australia

Green vegetable consumption has long been considered to have health benefits mainly due to the vitamins, minerals and phytonutrients (such as vitamin C, folate, antioxidants etc) contained in a vegetable-rich diet. Additionally, green vegetables are known to contain a relatively high proportion of omega-3 polyunsaturated fatty acids (PUFAs), primarily in the form of alpha-linolenic acid (18:3n-3). However, there are no data available on the fatty acid composition and concentration of green vegetables commonly consumed in Australia. The present study determined the fatty acid content of 11 green vegetables that are commonly available in Australia. The total fatty acid concentrations of the vegetables under study ranged from 44 mg/100 g wet weight in Chinese cabbage to 372 mg/100 g in watercress. There were three PUFAs in all vegetables analyzed; these were 16:3n-3, 18:2n-6, and 18:3n-3 fatty acids. Sample vegetables contained significant quantities of 16:3n-3 and 18:3n-3, ranging from 23 to 225 mg/100 g. Watercress and mint contained the highest amounts of 16:3n-3 and 18:3n-3, and parsley had the highest amount of 18:2n-6 in both percentage composition and concentration. Mint had the highest concentration of 18:3n-3 with a value of 195 mg/100 g, while watercress contained the highest concentration of 16:3n-3 at 45 mg/100 g. All 11 green vegetables contained a high proportion of PUFAs, ranging from 59 to 72% of total fatty acids. The omega-3 PUFA composition ranged from 40 to 62% of total fatty acids. Monounsaturated fatty acid composition was less than 6% of total fatty acids. The proportion of saturated fatty acids ranged from 21% in watercress and mint to 32% of total fatty acids in Brussels sprouts. No eicosapentaenoic and docosahexaenoic acids were detected in any of the samples. Consumption of green vegetables could contribute to 18:3n-3 PUFA intake, especially for vegetarian populations.

Prediction of children's flavour preferences. Effect of age and stability in reported preferences

The present study investigated whether children were able to communicate stable flavour preferences and whether mothers’ ability to correctly identify their child's flavour preferences is related to the stability of their child's flavour preferences. On 2 consecutive days, 75 girls and 77 boys (3–10 years, mean age = 7.1 ± 2.3 years) carried out a preference ranking task for five ice-cream flavours: mint, coffee, chocolate and two variants of vanilla. Without input from their child, mothers ranked four of these flavours according to their own understanding of their child's flavour preferences. Spearman rank order correlations suggest that older aged children (5–10 years) have more stable flavour preferences than younger aged children (3–5 years) (p < 0.05). Only 39% of mothers were able to correctly predict children's most preferred flavour, but significantly more parents (61%) were able to predict children's least preferred flavour (p < 0.05). Mothers’ ability to correctly predict their children's least preferred flavour seemed to be facilitated by children's ability to communicate their least preferred flavours in a consistent manner (p < 0.05). It is recommended to apply proper sensory methodologies with children rather than relying on mothers’ report when interested in children's likes. When interested in children's dislikes mothers’ report might be suitable.

Reading ancient coins: automatically identifying denarii using obverse legend seeded retrieval

The aim of this paper is to automatically identify a Roman Imperial denarius from a single query photograph of its obverse and reverse. Such functionality has the potential to contribute greatly to various national schemes which encourage laymen to report their finds to local museums. Our work introduces a series of novelties: (i) this is the first paper which describes a method for extracting the legend of an ancient coin from a photograph; (ii) we are also the first to suggest the idea and propose a method for identifying a coin using a series of carefully engineered retrievals, each harnessed for further information using visual or meta-data processing; (iii) we show how in addition to a unique standard reference number for a query coin, the proposed system can be used to extract salient coin information (issuing authority, obverse and reverse descriptions, mint date) and retrieve images of other coins of the same type.