The Current State of Data to Estimate Prevalence and Severity of Food Allergies in the United States.

Currently, in the United States, there is no comprehensive surveillance system to collect data on food allergies; however, prevalence and severity data are critical to quantify the burden of food allergies, develop evidence-based control measures, detect emerging issues, and monitor trends. To address this gap, we conducted a literature search, and expert interviews to identify surveillance systems and datasets that could be used to estimate the prevalence and severity of food allergies in the United States overall and for specific foods. Inclusion and exclusion criteria were developed and used to screen each data source.

Recalls Associated with Food Allergens and Gluten in FDA-Regulated Foods from Fiscal Years 2013 to 2019.

Allergens are one of the leading causes of food recalls in the US. The Food and Drug Administration (FDA) enforces requirements relating to major food allergens (MFAs) and gluten-free labeling to ensure food safety for allergic and celiac patients, respectively. Violative foods are subject to recalls.

Effects of diet on skin sensitization by nickel, poison ivy, and sesquiterpene lactones.

Skin contact or exposure to sensitizers often occurs as a consequence of occupational exposures (e.g. poison ivy in forestry), wearing jewelry (e.

Neural activity of heterogeneous inhibitory spiking networks with delay.

We study a network of spiking neurons with heterogeneous excitabilities connected via inhibitory delayed pulses. For globally coupled systems the increase of the inhibitory coupling reduces the number of firing neurons by following a winner-takes-all mechanism. For sufficiently large transmission delay we observe the emergence of collective oscillations in the system beyond a critical coupling value.

Modeling driver cells in developing neuronal networks.

Spontaneous emergence of synchronized population activity is a characteristic feature of developing brain circuits. Recent experiments in the developing neo-cortex showed the existence of driver cells able to impact the synchronization dynamics when single-handedly stimulated. We have developed a spiking network model capable to reproduce the experimental results, thus identifying two classes of driver cells: functional hubs and low functionally connected (LC) neurons.