Impaired conflict resolution and alerting in children with ADHD: evidence from the Attention Network Task (ANT)

An important theory of attention suggests that there are three separate networks that execute discrete cognitive functions. The 'alerting' network acquires and maintains an alert state, the 'orienting' network selects information from sensory input and the 'conflict' network resolves conflict that arises between potential responses. This theory holds promise for dissociating discrete patterns of cognitive impairment in disorders where attentional deficits may often be subtle, such as in attention deficit hyperactivity disorder (ADHD).

Ant-lore in Anglo-Saxon England

Two Old English versions of a sunshine prognostication survive in the mid-eleventh century Cambridge, Corpus Christi College 391, p. 713, and in a twelfth-century addition to Oxford, Bodleian Library, Hatton 115, 149v–150r. Among standard predictions promising joy, peace, blossom, abundance of milk and fruit, and a great baptism sent by God, one encounters an enigmatic prophecy which involves camels stealing gold from the ants. These gold-digging ants have a long pedigree, one which links Old English with much earlier literature and indicates the extent to which Anglo-Saxon culture had assimilated traditions of European learning. It remains difficult to say what is being prophesied, however, or to explain the presence of the passage among conventional predictions. Whether the prediction was merely a literary exercise or carried a symbolic implication, it must have originated in an ecclesiastical context. Its mixture of classical learning and vernacular tradition, Greek and Latin, folklore and Christian, implies an author with some knowledge of literary and scholarly traditions.

Computational Investigation of Inlet Distortion at High Angles of Attack

Lip separation is one of the primary sources of inlet distortion, which can result in a loss in fan stability. High angles of incidence are one of several critical causes of lip separation. There have been many studies into inlet performance at high incidence, including the resulting distortion levels when lip separation occurs. However, the vast majority of these investigations have been carried out experimentally, with little in the way of computational results for inlet performance at high incidence. The flow topology within an inlet when lip separation has occurred is also not well understood. This work aims to demonstrate a suitable model for the prediction of inlet flows at high incidence using ANSYS CFX, looking at both the performance of the inlet and the separated flow topology within the inlet. The attenuating effect of the fan is also investigated, with particular emphasis on the flow redistribution ahead of the fan. The results show that the model used is suitable for predicting inlet performance in adverse operating conditions, showing good agreement with experimental results. In addition, the attenuation of the distortion by the fan is also captured by the numerical model.

Impact of Metric Selection on Wireless DeAuthentication DoS Attack Performance

DeAuthentication Denial of Service attacks in Public Access WiFi operate by exploiting the lack of authentication of management frames in the 802.11 protocol. Detection of these attacks rely almost exclusively on the selection of appropriate thresholds. In this work the authors demonstrate that there are additional, previously unconsidered, metrics which also influence DoS detection performance. A method of systematically tuning these metrics to optimal values is proposed which ensures that parameter choices are repeatable and verifiable.