4 resultados para ”out-of-school mathematics”


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Major food adulteration and contamination events occur with alarming regularity and are known to be episodic, with the question being not if but when another large-scale food safety/integrity incident will occur. Indeed, the challenges of maintaining food security are now internationally recognised. The ever increasing scale and complexity of food supply networks can lead to them becoming significantly more vulnerable to fraud and contamination, and potentially dysfunctional. This can make the task of deciding which analytical methods are more suitable to collect and analyse (bio)chemical data within complex food supply chains, at targeted points of vulnerability, that much more challenging. It is evident that those working within and associated with the food industry are seeking rapid, user-friendly methods to detect food fraud and contamination, and rapid/high-throughput screening methods for the analysis of food in general. In addition to being robust and reproducible, these methods should be portable and ideally handheld and/or remote sensor devices, that can be taken to or be positioned on/at-line at points of vulnerability along complex food supply networks and require a minimum amount of background training to acquire information rich data rapidly (ergo point-and-shoot). Here we briefly discuss a range of spectrometry and spectroscopy based approaches, many of which are commercially available, as well as other methods currently under development. We discuss a future perspective of how this range of detection methods in the growing sensor portfolio, along with developments in computational and information sciences such as predictive computing and the Internet of Things, will together form systems- and technology-based approaches that significantly reduce the areas of vulnerability to food crime within food supply chains. As food fraud is a problem of systems and therefore requires systems level solutions and thinking.

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In: International Journal of Pharmacy Practice 18, Supplement 2, 19-20.

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Three experiments examined the development of episodic future thinking: the ability to think ahead about novel future situations (Atance & O’Neill, 2001). Each experiment used three novel tasks, similar to the Blow Football task used by Russell, Alexis, and Clayton (2010). In each, there was a different table top with two sides. Children played a game on one side of a table, and then were asked to choose a tool to play with a similar game on the other side of the table the next day. For example, children used a toy fishing rod to catch magnetic fish on one side of the table; playing the same game from the other side of the table required a different type of fishing rod. At test, children chose between 2 or 3 tools: a) the tool they used today, b) the tool suitable for the other side (correct) and c) a distractor tool which was not suitable for either side. In Experiment 1, 24 four-year-olds selected 1 out of 2 tools for tomorrow. Children selected the correct item above chance level in all tasks (p < 0.001). In Experiment 2, in which children were not allowed to look at the apparatus when choosing, 21 three-year olds selected 1 out of 2 tools for tomorrow. This group also selected the right tool above chance level in all tasks (p < 0.001).The results of Experiments 1 and 2 imply that 3- and 4-year olds might indeed show episodic future foresight. However, they could have also selected the right tool by default. To control for this, a third tool distractor was introduced in Experiment 3. This time, 3-4 year olds did not perform above chance levels, suggesting that there is an alternative explanation as to why they performed so well in the previous two experiments.