Picking up the Pieces: Self-Healing in reconfigurable networks

We consider the problem of self-healing in networks that are reconfigurable in the sense that they can change their topology during an attack. Our goal is to maintain connectivity in these networks, even in the presence of repeated adversarial node deletion, by carefully adding edges after each attack. We present a new algorithm, DASH, that provably ensures that: 1) the network stays connected even if an adversary deletes up to all nodes in the network; and 2) no node ever increases its degree by more than 2 log n, where n is the number of nodes initially in the network. DASH is fully distributed; adds new edges only among neighbors of deleted nodes; and has average latency and bandwidth costs that are at most logarithmic in n. DASH has these properties irrespective of the topology of the initial network, and is thus orthogonal and complementary to traditional topology- based approaches to defending against attack. We also prove lower-bounds showing that DASH is asymptotically optimal in terms of minimizing maximum degree increase over multiple attacks. Finally, we present empirical results on power-law graphs that show that DASH performs well in practice, and that it significantly outperforms naive algorithms in reducing maximum degree increase.

Adaptive Bacteria Colony Picking in Unstructured Environments Using Intensity Histogram and Unascertained LS-SVM Classifier

Features analysis is an important task which can significantly affect the performance of automatic bacteria colony picking. Unstructured environments also affect the automatic colony screening. This paper presents a novel approach for adaptive colony segmentation in unstructured environments by treating the detected peaks of intensity histograms as a morphological feature of images. In order to avoid disturbing peaks, an entropy based mean shift filter is introduced to smooth images as a preprocessing step. The relevance and importance of these features can be determined in an improved support vector machine classifier using unascertained least square estimation. Experimental results show that the proposed unascertained least square support vector machine (ULSSVM) has better recognition accuracy than the other state-of-the-art techniques, and its training process takes less time than most of the traditional approaches presented in this paper.

On Cherry-Picking ... or Trying to Have One’s Cake and Eating It: past principles and practice in the pursuit of an alternative to [full] EU membership

With the United Kingdom’s continued membership of the EU being increasingly questioned and the Prime Minister, David Cameron, committed to 're-negotiate’ the terms of membership, consideration is being given to what forms alternatives to [full] membership may take. While much current discussion focuses on the advantages and disadvantages of particular existing arrangements (e.g. European Economic Area, Swiss bilateralism), this paper examines the broader principles and practices that have to date underpinned – and undermined – EU’s attempts to develop alternatives to [full] EU membership. Drawing on an analysis of the evolution of association as an alternative to membership, the paper assesses the principled, practical and political limitations the EU faces – and imposes on itself – in offering an acceptable balance of rights and obligations to states not wishing to assume the mantle of full membership. In its assessment the paper considers various proposed models of affiliate and associate membership. It also situates consideration of the UK case in the broader context of the EU’s relations with other European non-member states for which membership may not be achievable and for which alternatives to membership (e.g. a form of privileged partnership) have been proposed. In doing so, the paper reflects on the precedent-setting consequences of any arrangement that the EU might reach with any state re-negotiating membership or withdrawing.

Picking on vulnerable migrants: precarity and the mushroom industry in Northern Ireland

This article examines precarious employment in the context of the mushroom industry in Northern Ireland. Migrant workers engaged in mushroom picking were interviewed in the context of wider research investigating forced labour in Northern Ireland. The research found that, while the boundaries between exploitation and forced labour are complex and difficult to discern, there was some evidence of borderline forced labour, according to ILO definitions. However, workers found themselves on a ‘continuum of exploitation’, where initial engagement with the prospect of decent work was superseded by increasing endurance of exploitative practices, brought about by unequal power relationships with employers originating in immigration status. This is examined in the wider theoretical context of precarity, of which precarious employment comprises a part.

Behaviour of Brent geese Branta bernicla hrota and wigeon Anas penelope feeding on intertidal Zostera spp

Mixed flocks of pale-bellied Brent geese (Branta bernicla hrota) and wigeon (Anas penelope L.) feeding on intertidal Zostera spp were studied during October 1993 with respect to tidal position, feeding method and duration, and competitive: interactions within and between species. Owing to many disturbance incidents affecting the use of the site by wildfowl, only complete data on flow tides were presented. Brent geese fed over a greater period of the tidal cycle than wigeon. Differences in feeding methods indicated that Brent geese exploited the rhizomes, which are energetically more profitable than the shoot on which wigeon fed. Aggressive interactions were recorded within species but there were no records of aggression between species. More subtle competition for space, however, may have occurred during feeding. Brent geese could reach Zostera spp For a short period after increasing depth of water prevented access by wigeon. However, individual wigeon were observed foraging near feeding Brent geese, picking up the scraps oi material discarded by the latter, and small numbers of wigeon may benefit from the presence of the geese. These benefits for some individual wigeon are not considered to compensate for the disadvantages to the latter species population as a whole in feeding on poorer-quality food for a shorter period of the tidal cycle. This disadvantage is likely to have contributed to the decline in the wigeon population on Strangford Lough, Co. Down, while numbers of Brent geese have been maintained at a high level.

Detecting Deception in Movement: The Case of the Side-Step in Rugby

Although coordinated patterns of body movement can be used to communicate action intention, they can also be used to deceive. Often known as deceptive movements, these unpredictable patterns of body movement can give a competitive advantage to an attacker when trying to outwit a defender. In this particular study, we immersed novice and expert rugby players in an interactive virtual rugby environment to understand how the dynamics of deceptive body movement influence a defending player’s decisions about how and when to act. When asked to judge final running direction, expert players who were found to tune into prospective tau-based information specified in the dynamics of ‘honest’ movement signals (Centre of Mass), performed significantly better than novices who tuned into the dynamics of ‘deceptive’ movement signals (upper trunk yaw and out-foot placement) (p<.001). These findings were further corroborated in a second experiment where players were able to move as if to intercept or ‘tackle’ the virtual attacker. An analysis of action responses showed that experts waited significantly longer before initiating movement (p<.001). By waiting longer and picking up more information that would inform about future running direction these experts made significantly fewer errors (p<.05). In this paper we not only present a mathematical model that describes how deception in body-based movement is detected, but we also show how perceptual expertise is manifested in action expertise. We conclude that being able to tune into the ‘honest’ information specifying true running action intention gives a strong competitive advantage.

Interceptive skills in children aged 9-11 years, diagnosed with Autism Spectrum Disorder

Growing evidence suggests that significant motor problems are associated with a diagnosis of Autism Spectrum Disorders (ASD), particularly in catching tasks. Catching is a complex, dynamic skill that involves the ability to synchronise one's own movement to that of a moving target. To successfully complete the task, the participant must pick up and use perceptual information about the moving target to arrive at the catching place at the right time. This study looks at catching ability in children diagnosed with ASD (mean age 10.16 ± 0.9 years) and age-matched non-verbal (9.72 ± 0.79 years) and receptive language (9.51 ± 0.46) control groups. Participants were asked to "catch" a ball as it rolled down a fixed ramp. Two ramp heights provided two levels of task difficulty, whilst the sensory information (audio and visual) specifying ball arrival time was varied. Results showed children with ASD performed significantly worse than both the receptive language (p =.02) and non-verbal (p =.02) control groups in terms of total number of balls caught. A detailed analysis of the movement kinematics showed that difficulties with picking up and using the sensory information to guide the action may be the source of the problem. © 2013 Elsevier Ltd.

Mutual Funds and Mispriced Stocks

We find a strong negative predictive relation between the propensity of active mutual funds to hold overpriced stocks and their subsequent performance. High-propensity funds, or overpriced funds, display poor stock picking skills as they further purchase overpriced stocks during episodes of fund inflows. Interestingly, overpriced funds attract considerable capital inflows during high sentiment episodes, after controlling for the effects of past fund performance. The overall evidence is consistent with the notion that overpriced funds, unable to improve their stock picking skills through time, target optimistic investors by engaging in marketing activities and catering to preferences for skewed returns.