The error-related negativity (ERN) is a negative deflection in the event-related brain potential associated with error processing. A recent theory holds that the ERN is elicited by the impact of a reward prediction error signal carried by the mesencephalic dopamine system on anterior cingulate cortex. The theory predicts that larger ERNs should be elicited by unexpected unfavorable outcomes tha...

In this paper, we address the problem of how automated situationawareness can be achieved by learning real-world situations from ubiquitously generated mobility data. Without semantic input about the time and space where situations take place, this turns out to be a fundamental challenging problem. Uncertainties also introduce technical challenges when data is generated in irregular time interv...

Multiplayer online baŠle arena has become a popular game genre. It also received increasing aŠention from our research community because they provide a wealth of information about human interactions and behaviors. A major problem is extracting meaningful paŠerns of activity from this type of data, in a way that is also easy to interpret. Here, we propose to exploit tensor decomposition techniqu...

The complete genome sequence of a sub-subgenotype 2.1i isolate of classical swine fever virus (CSFV), GD317/2011, was determined. Notably, GD317/2011 is distant from the sub-subgenotype 2.1b isolate HEBZ at genes of Erns, E1, E2, P7, NS2, NS5A and the 3'-nontranslated region (3'-NTR) but is closely related to that at genes of Npro, Core, NS3, NS4A, NS4B, and NS5B.

Characterisation of a new infectious full-length cDNA clone of BVDV genotype 2 and generation of virus mutants Novel BVDV-2 mutants as new candidates for modified live vaccines New insights into processing of bovine viral diarrhea virus glycoproteins Erns and E1

Monitoring system behaviors using formal speci cations appears to be an e ective technique in analyzing cyber-physical systems. However, to achieve intended results in monitoring, speci cation languages need to be intuitive, elegant, and expressive at the rst place. In this paper, we propose a metric extension of well-known Halpern-Shoham (hs) logic, called Metric Compass Logic (mcl), for monit...

Monitoring system behaviors using formal speci cations appears to be an e ective technique in analyzing cyber-physical systems. However, to achieve intended results in monitoring, speci cation languages need to be intuitive, elegant, and expressive at the rst place. In this paper, we propose a metric extension of well-known Halpern-Shoham (hs) logic, called Metric Compass Logic (mcl), for monit...

Network embedding leverages the node proximity manifested to learn a low-dimensional node vector representation for each node in the network. Œe learned embeddings could advance various learning tasks such as node classi€cation, network clustering, and link prediction. Most, if not all, of the existing works, are overwhelmingly performed in the context of plain and static networks. Nonetheless,...

BACKGROUND Bovine viral diarrhoea virus (BVDV) is an important pathogen in cattle. The ability of the virus to cross the placenta during early pregnancy can result in the birth of persistently infected (PI) calves. These calves shed the virus during their entire lifespan and are the key transmitters of infection. Consequently, identification (and subsequent removal) of PI animals is necessary t...