Associative knowledge controls deployment of visual selective attention

According to some models of visual selective attention, objects in a scene activate corresponding neural representations, which compete for perceptual awareness and motor behavior. During a visual search for a target object, top-down control exerted by working memory representations of the target's defining properties resolves competition in favor of the target. These models, however, ignore the existence of associative links among object representations. Here we show that such associations can strongly influence deployment of attention in humans. In the context of visual search, objects associated with the target were both recalled more often and recognized more accurately than unrelated distractors. Notably, both target and associated objects competitively weakened recognition of unrelated distractors and slowed responses to a luminance probe. Moreover, in a speeded search protocol, associated objects rendered search both slower and less accurate. Finally, the first saccades after onset of the stimulus array were more often directed toward associated than control items.

Outside in-group and out-group identities? Constructing male solidarity and female exclusion in UK builders’ talk

This article examines the spoken interactions of a group of British construction workers to discover whether it is possible to identify a distinctive ‘builders’ discourse’. Given that builders work for a mostly all-male profession (Curjao, 2006), we ask whether the ways in which male builders converse with each other while ‘on the job’ can be held in any way responsible for the under-representation of women within this major occupational sector in the UK. This article reports on a case study of the conversations of three white, working-class, male builders, which took place while travelling in a truck between different building sites. This forms part of a larger ethnographic study of builders’ discourse in different work locations. The analysis shows that male builders are highly collaborative in constructing narratives of in-group and out-group identities (Duszak, 2002; Tajfel, 1978). Various other male groups are demonized in these conversations: Polish immigrant builders, rude clients and rival builders. However, there is almost no reference to women. The article concludes that women are viewed as so unthreatening to male ascendancy in the building industry that they do not even feature within the ‘out-group’.

Gender and feminine Identities - women as managers in a UK academic institution

The paper considers gender identities in higher education. It examines how people involved in university life engage in (re)creating gender identities and in (re)producing gender-related expectations (and stereotypes) of managerial behaviour. The process of construction of feminine identities is explored through the discourses of academics from a UK university (mainly women who hold managerial positions). The paper reports findings from a series of in-depth interviews with women managers (dean, associate deans and heads of departments) and with university academics (men and women) from a Business School, part of a large British new university. The school was of special interest because women held the majority of senior managerial posts. It appears that the process of construction of femininities is mainly developed around four (stereo-)typical aspects generally associated with feminine management practices (multi-tasking, supporting and nurturing, people and communication skills, and team-work).

Developments and extensions of Roth's method of double Fourier series with applications to the solution of electromagnetic field problems

The first part of the thesis compares Roth's method with other methods, in particular the method of separation of variables and the finite cosine transform method, for solving certain elliptic partial differential equations arising in practice. In particular we consider the solution of steady state problems associated with insulated conductors in rectangular slots. Roth's method has two main disadvantages namely the slow rate of con­vergence of the double Fourier series and the restrictive form of the allowable boundary conditions. A combined Roth-separation of variables method is derived to remove the restrictions on the form of the boundary conditions and various Chebyshev approximations are used to try to improve the rate of convergence of the series. All the techniques are then applied to the Neumann problem arising from balanced rectangular windings in a transformer window. Roth's method is then extended to deal with problems other than those resulting from static fields. First we consider a rectangular insulated conductor in a rectangular slot when the current is varying sinusoidally with time. An approximate method is also developed and compared with the exact method.The approximation is then used to consider the problem of an insulated conductor in a slot facing an air gap. We also consider the exact method applied to the determination of the eddy-current loss produced in an isolated rectangular conductor by a transverse magnetic field varying sinusoidally with time. The results obtained using Roth's method are critically compared with those obtained by other authors using different methods. The final part of the thesis investigates further the application of Chebyshdev methods to the solution of elliptic partial differential equations; an area where Chebyshev approximations have rarely been used. A poisson equation with a polynomial term is treated first followed by a slot problem in cylindrical geometry.

The n-tuple network: coping with sub-optimality

The subject of this thesis is the n-tuple net.work (RAMnet). The major advantage of RAMnets is their speed and the simplicity with which they can be implemented in parallel hardware. On the other hand, this method is not a universal approximator and the training procedure does not involve the minimisation of a cost function. Hence RAMnets are potentially sub-optimal. It is important to understand the source of this sub-optimality and to develop the analytical tools that allow us to quantify the generalisation cost of using this model for any given data. We view RAMnets as classifiers and function approximators and try to determine how critical their lack of' universality and optimality is. In order to understand better the inherent. restrictions of the model, we review RAMnets showing their relationship to a number of well established general models such as: Associative Memories, Kamerva's Sparse Distributed Memory, Radial Basis Functions, General Regression Networks and Bayesian Classifiers. We then benchmark binary RAMnet. model against 23 other algorithms using real-world data from the StatLog Project. This large scale experimental study indicates that RAMnets are often capable of delivering results which are competitive with those obtained by more sophisticated, computationally expensive rnodels. The Frequency Weighted version is also benchmarked and shown to perform worse than the binary RAMnet for large values of the tuple size n. We demonstrate that the main issues in the Frequency Weighted RAMnets is adequate probability estimation and propose Good-Turing estimates in place of the more commonly used :Maximum Likelihood estimates. Having established the viability of the method numerically, we focus on providillg an analytical framework that allows us to quantify the generalisation cost of RAMnets for a given datasetL. For the classification network we provide a semi-quantitative argument which is based on the notion of Tuple distance. It gives a good indication of whether the network will fail for the given data. A rigorous Bayesian framework with Gaussian process prior assumptions is given for the regression n-tuple net. We show how to calculate the generalisation cost of this net and verify the results numerically for one dimensional noisy interpolation problems. We conclude that the n-tuple method of classification based on memorisation of random features can be a powerful alternative to slower cost driven models. The speed of the method is at the expense of its optimality. RAMnets will fail for certain datasets but the cases when they do so are relatively easy to determine with the analytical tools we provide.

Contesting Europe's Eastern Rim:cultural identities in public discourse

Since 1989, Europe's eastern rim has been in constant flux. This collection focuses on how political and economic transformations have triggered redefinitions of cultural identity. Using discursive modes of identity construction (deconstruction, reconstruction, reformulation, and invention) the book focuses on the creation of opposition to old and new outsidersA" and insidersA" in Europe. The linguistic study of discourse elements in connection with an exploration of the significance of metaphors in anchoring individual and collective identity is innovative and allows for a unique analysis of public discourse in Europe.

Immigrant dislocated identities:Rachid Nini’s Diario de un ilegal

This article describes the process through which the subjectivity of the illegal immigrant is deconstructed and later reconstructed, as revealed by the Moroccan journalist and intellectual Rachid Nini in his book Diario de un ilegal/Diary of an Illegal Immigrant (2002), an account of the author's perils as an illegal immigrant in Spain. The analysis focuses firstly on the narrative form that Nini employs to give an account of his story, and secondly on the spatial displacement to which the subject and his subjectivity are exposed, which leads to the obliteration of his identity. The abrupt changes that the subject faces in a new location are paramount and impel him to a constant quest for self-definition and of negotiation with the new Other. Thus, the privileges that Nini enjoyed while in Morocco, those of a male journalist, poet, translator and intellectual with a university degree, disappear altogether once his plane has landed on the Canary Islands. In this new location, the place of origin and/or race are now what define his identity; he is now simply a moro - a Moor - he is not considered as an individual but, as will be shown, as a member of a homogenizing category which resists definition. The article finishes by addressing how Nini, in his quest to destroy homogenizing stereotypes, employs other stereotypes as though this were the only escape from the schizophrenic state the illegal immigrant identity had been forced into.

Critical approaches to care:understanding caring relations, identities and cutures

What does ‘care’ mean in contemporary society? How are caring relationships practised in different contexts? What resources do individuals and collectives draw upon in order to care for, care with and care about themselves and others? How do such relationships and practices relate to broader social processes? Care shapes people’s everyday lives and relationships and caring relations and practices influence the economies of different societies. This interdisciplinary book takes a nuanced and context-sensitive approach to exploring caring relationships, identities and practices within and across a variety of cultural, familial, geographical and institutional arenas. Grounded in rich empirical research and discussing key theoretical, policy and practice debates, it provides important, yet often neglected, international and cross-cultural perspectives. It is divided into four sections covering: caring within educational institutions; caring amongst communities and networks; caring and families; and caring across the life-course. Contributing to broader theoretical, philosophical and moral debates associated with the ethics of care, citizenship, justice, relationality and entanglements of power, Critical Approaches to Care is an important work for students and academics studying caring and care work in the fields of health and social care, sociology, social policy, anthropology, education, human geography and politics.

Increased salience of gains versus decreased associative learning differentiate bipolar disorder from schizophrenia during incentive decision making

Background Abnormalities in incentive decision making, typically assessed using the Iowa Gambling Task (IGT), have been reported in both schizophrenia (SZ) and bipolar disorder (BD). We applied the Expectancy-Valence (E-V) model to determine whether motivational, cognitive and response selection component processes of IGT performance are differentially affected in SZ and BD. Method Performance on the IGT was assessed in 280 individuals comprising 70 remitted patients with SZ, 70 remitted patients with BD and 140 age-, sex-and IQ-matched healthy individuals. Based on the E-V model, we extracted three parameters, 'attention to gains or loses', 'expectancy learning' and 'response consistency', that respectively reflect motivational, cognitive and response selection influences on IGT performance. Results Both patient groups underperformed in the IGT compared to healthy individuals. However, the source of these deficits was diagnosis specific. Associative learning underlying the representation of expectancies was disrupted in SZ whereas BD was associated with increased incentive salience of gains. These findings were not attributable to non-specific effects of sex, IQ, psychopathology or medication. Conclusions Our results point to dissociable processes underlying abnormal incentive decision making in BD and SZ that could potentially be mapped to different neural circuits. © 2012 Cambridge University Press.

Polynomial function intervals for floating-point software verification

The focus of our work is the verification of tight functional properties of numerical programs, such as showing that a floating-point implementation of Riemann integration computes a close approximation of the exact integral. Programmers and engineers writing such programs will benefit from verification tools that support an expressive specification language and that are highly automated. Our work provides a new method for verification of numerical software, supporting a substantially more expressive language for specifications than other publicly available automated tools. The additional expressivity in the specification language is provided by two constructs. First, the specification can feature inclusions between interval arithmetic expressions. Second, the integral operator from classical analysis can be used in the specifications, where the integration bounds can be arbitrary expressions over real variables. To support our claim of expressivity, we outline the verification of four example programs, including the integration example mentioned earlier. A key component of our method is an algorithm for proving numerical theorems. This algorithm is based on automatic polynomial approximation of non-linear real and real-interval functions defined by expressions. The PolyPaver tool is our implementation of the algorithm and its source code is publicly available. In this paper we report on experiments using PolyPaver that indicate that the additional expressivity does not come at a performance cost when comparing with other publicly available state-of-the-art provers. We also include a scalability study that explores the limits of PolyPaver in proving tight functional specifications of progressively larger randomly generated programs. © 2014 Springer International Publishing Switzerland.

Cortical degeneration in frontotemporal lobar degeneration with TDP-43 proteinopathy caused by progranulin gene mutation

Familial frontotemporal lobar degeneration with transactive response (TAR) DNA-binding protein of 43 kDa (TDP-43) proteinopathy (FTLD-TDP) is most commonly caused by progranulin (GRN) gene mutation. To characterize cortical degeneration in these cases, changes in density of the pathology across the cortical laminae of the frontal and temporal lobe were studied in seven cases of FTLD-TDP with GRN mutation using quantitative analysis and polynomial curve fitting. In 50% of gyri studied, neuronal cytoplasmic inclusions (NCI) exhibited a peak of density in the upper cortical laminae. Most frequently, neuronal intranuclear inclusions (NII) and dystrophic neurites (DN) exhibited a density peak in lower and upper laminae, respectively, glial inclusions (GI) being distributed in low densities across all laminae. Abnormally enlarged neurons (EN) were distributed either in the lower laminae or were more uniformly distributed across the cortex. The distribution of all neurons present varied between cases and regions, but most commonly exhibited a bimodal distribution, density peaks occurring in upper and lower laminae. Vacuolation primarily affected the superficial laminae and density of glial cell nuclei increased with distance across the cortex from pia mater to white matter. The densities of the NCI, GI, NII, and DN were not spatially correlated. The laminar distribution of the pathology in GRN mutation cases was similar to previously reported sporadic cases of FTLD-TDP. Hence, pathological changes initiated by GRN mutation, and by other causes in sporadic cases, appear to follow a parallel course resulting in very similar patterns of cortical degeneration in FTLD-TDP.

Technology of Storage and Processing of Electronic Documents with Intellectual Search Properties

The technology of record, storage and processing of the texts, based on creation of integer index cycles is discussed. Algorithms of exact-match search and search similar on the basis of inquiry in a natural language are considered. The software realizing offered approaches is described, and examples of the electronic archives possessing properties of intellectual search are resulted.

A Hierarchical Architecture with Parallel Comunication for Implementing P Systems

Membrane systems are computational equivalent to Turing machines. However, its distributed and massively parallel nature obtain polynomial solutions opposite to traditional non-polynomial ones. Nowadays, developed investigation for implementing membrane systems has not yet reached the massively parallel character of this computational model. Better published approaches have achieved a distributed architecture denominated “partially parallel evolution with partially parallel communication” where several membranes are allocated at each processor, proxys are used to communicate with membranes allocated at different processors and a policy of access control to the communications is mandatory. With these approaches, it is obtained processors parallelism in the application of evolution rules and in the internal communication among membranes allocated inside each processor. Even though, external communications share a common communication line, needed for the communication among membranes arranged in different processors, are sequential. In this work, we present a new hierarchical architecture that reaches external communication parallelism among processors and substantially increases parallelization in the application of evolution rules and internal communications. Consequently, necessary time for each evolution step is reduced. With all of that, this new distributed hierarchical architecture is near to the massively parallel character required by the model.