The Latin American Network of Food Composition Data System (LATINFOODS) is the regional data center of the global network "International Network on Food Data Systems" (INFOODS) co-sponsored by the Food and Agriculture Organization of the United Nations (FAO) and the United Nations University (UNU). The aim of this work is to provide information on the main activities held and challenges during ...

During an epidemiologic investigation of pandemic influenza (H1N1) 2009 virus infection in May 2009 in Osaka, Japan, we found 3 clusters in which virus transmission occurred during the presymptomatic phase. This finding has public health implications because it indicates that viral transmission in communities cannot be prevented solely by isolating symptomatic case-patients.

Order copies of this and other ACL proceedings from: The workshop focused on Multi-Word Expressions (MWEs), which represent an indispensable part of natural languages and appear steadily on a daily basis, both novel and already existing but paraphrased, which makes them important for many natural language applications. Unfortunately, while easily mastered by native speakers, MWEs are often non-...

Why do some armed groups commit massive wartime rape, whereas others never do? Using an original dataset, I describe the substantial variation in rape by armed actors during recent civil wars and test a series of competing causal explanations. I find evidence that the recruitment mechanism is associated with the occurrence of wartime rape. Specifically, the findings support an argument about wa...

On May 12, 2009, at 2:20 PM, a random sample of 982,708 telephones from an 18 million nationwide network of mostly prepaid cell phones (1) received a text message invitation to a Ministry of Health survey. Influenza-like illness (ILI) in April, date of fever onset, severity, number of household members with ILI, age, influenza vaccination, household size, and number of children in each househol...

I n the present study Iran's rice imports trend is forecasted, using artificial neural networks and econometric methods, during 2009 to 2013, and their results are compared. The results showed that feet forward neural network leading with less forecast error and had better performance in comparison to econometric techniques and also, other methods of neural networks, such as Recurrent networks ...