Understanding human mobility is critical for decision support in areas from urban planning to infectious diseases control. Prior work has focused on tracking daily logs of outdoor mobility without considering relevant context, which contain a mixture of regular and irregular human movement for a range of purposes, and thus diverse e‚ects on the dynamics have been ignored. Œis study aims to focu...

The error-related negativity (ERN) is an electrophysiological marker thought to reflect changes in dopamine when participants make errors in cognitive tasks. Our computational model further predicts that larger ERNs should be associated with better learning to avoid maladaptive responses. Here we show that participants who avoided negative events had larger ERNs than those who were biased to le...

A massive amount of data generated today on platforms such as social networks, telecommunication networks, and the internet in general can be represented as graph streams. Activity in a network’s underlying graph generates a sequence of edges in the form of a stream; for example, a social network may generate a graph stream based on the interactions (edges) between di‚erent users (nodes) over t...

The aim of this study was to evaluate the general characteristics of commercially available enzyme-linked immunosorbent assays (ELISAs) to detect antibody against classical swine fever (CSF), as well as to assess their potential use as accompanying marker tests able to differentiate infected from vaccinated animals (DIVA). The Chekit* CSF-Sero and the HerdChek* CSFV Ab, both of which detect ant...

We present results related to the performance of an algorithm for community detection which incorporates event-driven computation. We de€ne a mapping which takes a graph G to a system of spiking neurons. Using a fully connected spiking neuron system, with both inhibitory and excitatory synaptic connections, the €ring paŠerns of neurons within the same community can be distinguished from €ring p...

Larger error-related negativities (ERNs) have been consistently found in obsessive-compulsive disorder (OCD) patients, and are thought to reflect the activities of a hyperactive cortico-striatal circuit during action monitoring. We previously observed that obsessive-compulsive (OC) symptomatic students (non-patients) have larger ERNs during errors in a response competition task, yet smaller ERN...

A massive amount of data generated today on platforms such as social networks, telecommunication networks, and the internet in general can be represented as graph streams. Activity in a network’s underlying graph generates a sequence of edges in the form of a stream; for example, a social network may generate a graph stream based on the interactions (edges) between di‚erent users (nodes) over t...

Privacy by Design is prescribed by the new European General Data Protection Regulation. GeŠing this privacy preserving design philosophy appropriately adopted is a challenge, however. One natural approach to this challenge would be to leverage design paŠerns in the privacy domain. However, privacy paŠerns are scattered, unrelated, inconsistent, and immature. Œis paper presents a paŠern system f...

Studying the behavior of crowds is vital for understanding and predicting human interactions in public areas. Research has shown that, under certain conditions, large groups of people can form collective behavior paˆerns: local interactions between individuals results in global movements paŠerns. To detect these paŠerns in a crowd, we assume each person is carrying an on-body device that acts a...