Architectural research and its enemies

Like the Research Assessment Exercise (RAE) that preceded it, the UK government's proposed Research Excellence Framework (REF) is a means of allocating funding in higher education to support research. As with any method for the competitive allocation of funds it creates winners and losers and inevitably generates a lot of emotion among those rewarded or penalised. More specifically, the 'winners' tend to approve of the method of allocation and the 'losers' denigrate it as biased against their activities and generally unfair. An extraordinary press campaign has been consistently waged against research assessment and its methods by those involved in architectural education, which I will track over a decade and a half. What follows will question whether this campaign demonstrates the sophistication and superior judgment of those who have gone into print, or conversely whether its mixture of misinformation and disinformation reveals not just disenchantment and prejudice, but a naivety and a depth of ignorance about the fundamentals of research that is deeply damaging to the credibility of architecture as a research-based discipline. With the recent consultation process towards a new cycle of research assessment, the REF, getting under way, I aim to draw attention to the risk of repeating past mistakes. Copyright © Cambridge University Press 2010.

Neural activity associated with the passive prediction of ambiguity and risk for aversive events.

In economic decision making, outcomes are described in terms of risk (uncertain outcomes with certain probabilities) and ambiguity (uncertain outcomes with uncertain probabilities). Humans are more averse to ambiguity than to risk, with a distinct neural system suggested as mediating this effect. However, there has been no clear disambiguation of activity related to decisions themselves from perceptual processing of ambiguity. In a functional magnetic resonance imaging (fMRI) experiment, we contrasted ambiguity, defined as a lack of information about outcome probabilities, to risk, where outcome probabilities are known, or ignorance, where outcomes are completely unknown and unknowable. We modified previously learned pavlovian CS+ stimuli such that they became an ambiguous cue and contrasted evoked brain activity both with an unmodified predictive CS+ (risky cue), and a cue that conveyed no information about outcome probabilities (ignorance cue). Compared with risk, ambiguous cues elicited activity in posterior inferior frontal gyrus and posterior parietal cortex during outcome anticipation. Furthermore, a similar set of regions was activated when ambiguous cues were compared with ignorance cues. Thus, regions previously shown to be engaged by decisions about ambiguous rewarding outcomes are also engaged by ambiguous outcome prediction in the context of aversive outcomes. Moreover, activation in these regions was seen even when no actual decision is made. Our findings suggest that these regions subserve a general function of contextual analysis when search for hidden information during outcome anticipation is both necessary and meaningful.

The status and causes of alien species invasion in China

Data of classification, origin, pathway and environmental impacts of invasive alien micro-organisms, invertebrates, amphibians and reptiles, fish, birds, mammals, weeds, trees, and marine organisms in terrestrial, aquatic and marine ecosystems of China, were analyzed, based on literature retrieval, field survey and consultation. Some 283 invasive alien species were recorded in China, including 19 invasive alien micro-organisms, 18 aquatic plants, 170 terrestrial plants, 25 aquatic invertebrates, 33 terrestrial invertebrates, 3 amphibians and reptiles, 10 fish, and 5 mammals. Of the invasive alien species, 55.1% originated from North and South America, 21.7% from Europe, 9.9% from Asia, 8.1% from Africa and 0.6% from Oceania. Many institutions and individuals in China lack adequate knowledge of ecological and environmental consequences caused by invasive alien species, with some ignorance of the dangerous invasion in the introduction of alien species. For instance, 50.0% of invasive alien plants were intentionally introduced as pasture, feedingstuff, ornamental plants, textile plants, medicinal plants, vegetables, or lawn plants, 25% of alien invasive animals were intentionally introduced for cultivation, ornament, or biological control, In addition, more efforts are being made in the introduction of alien species, and little attention is paid on the management of introduced alien species, which may cause their escape into natural environment and potential threats to the environment. There were also gaps in quarantine system in China. All microorganisms were unintentionally introduced, through timber, seedling, flowerpot, or soil; 76.3% of alien invasive animals invaded through commodity or transportation facility because of the failure of quarantine. Therefore, quarantine measures should be strictly implemented; and meanwhile the intentional introduction of alien species should be strictly managed and a system of risk assessment should be implemented.

Modeling of protein adsorption in membrane affinity chromatography

For the design of affinity membranes, protein adsorption in membrane affinity chromatography (MAC) was studied by frontal analysis. According to fast mass transfer, small thickness of affinity membranes and high affinity between the protein and the ligand, an ideal adsorption (IA) model was proposed for MAC and was used together with equilibrium-dispersive (E-D) model to describe the adsorption of bovine serum albumin (BSA) onto cellulose diacetate/polyethyleneimine (CA/PEI) blend membranes with and without Cu2+ chelating. E-D model was found to better describe the initial region of experimental breakthrough curves. The influence of axial dispersion was revealed and it showed the importance of design of the module to homogenously distribute feed solution. IA model was found to be better for the whole experimental breakthrough curve. According to it, the capacity of affinity membranes and the specificity of the interaction are of equal importance for the design of affinity membranes. An optimum feed concentration was also found in the operation of MAC. The discrepancy between experimental optimum feed concentrations and predicted ones from IA model may be due to the ignorance of some experimental effects such as axial dispersion.

Saúde oral na gravidez

Monografia apresentada à Universidade Fernando Pessoa para obtenção do grau de Licenciado em Medicina Dentária

Comportamentos antissociais e bullying

Dissertação apresentada à Universidade Fernando Pessoa como parte dos requisitos para a obtenção do grau de Mestre em Psicologia Jurídica

The first time: young people and sex in Northern Ireland.

The sexual health of people, particularly young people, in Northern Ireland is currently poor. Yet there has been little research conducted on sexual attitudes and lifestyles. This paper is based on data from the first ever major research project in this field in Northern Ireland. Using quantitative and qualitative methods, it targeted young people aged 14-25. A combination of a self-administered survey questionnaire, focus group discussions and one-to-one interviews was found to be most suitable for the collection of sensitive data on sexuality in a country where the social and moral climate had previously prevented studies of this nature. Information was collected on sexual attitudes and behaviour generally. This paper focuses on one crucial issue: the age of first sexual encounter. It explores the attitudes of young people to that experience and the use of contraception. Many of the findings match those of similar large-scale surveys in England and Wales, including the modal age of first sexual encounter and the influence of peer pressure on decision-making about first sex. There were significant gender differences in both behaviour and attitudes. It is hoped that the research results will influence future education and health policy, which has all too often been based on ignorance.

Social networks and lifelong learning in older people

Various socio-demographic factors are causing our society to coexist every day with a group of elderly population that remains active and inserted into the daily dynamics. However, it is believed that there are certain barriers that make this group of people to not adequately address the technologies and even social networks. The creation of the University Programs for the Elderly (PUM), however, is leading to a new stage, since older people who participate come into contact with all kinds of content and rigor, updating own university education, thus changing the way to tackle the most innovative and different situations. In this study, we analyze what is the knowledge and use of older people, PUM, attending the University of Jaen have of the social networks and the assessment made of the need for these programs. To achieve this, we used a methodology in which qualitative and quantitative processes were articulated, through the analysis of data obtained from interviews and a focus groups with program Aquad 7. The data collected show that there is still some ignorance about social networks by older people, but everyone values their usefulness and necessity. Participants believe that they will be least affected of the risks of these technologies and demand a greater training in these contained within the PUM.

Cool Rationalities and Hot Air: A Rhetorical Approach to Understanding Debates on Renewable Energy.

A key obstacle to the wide-scale development of renewable energy is that public acceptability of wind energy cannot be taken for granted when wind energy moves from abstract support to local implementation. Drawing on a case study of opposition to the siting of a proposed off-shore wind farm in Northern Ireland, we offer a rhetorical analysis of a series of representative documents drawn from government, media, pro- and anti-wind energy sources, which identifies and interprets a number of discourses of objection and support. The analysis indicates that the key issue in terms of the transition to a renewable energy economy has little to do with the technology itself. Understanding the different nuances of pro- and anti-wind energy discourses highlights the importance of thinking about new ways of looking at these conflicts. These include adopting a “conflict resolution” approach and “upstreaming” public involvement in the decision-making process and also the counter-productive strategy of assuming that objection is based on ignorance (which can be solved by information) or NIMBY thinking (which can be solved by moral arguments about overcoming “free riders”).

The silent treatment: Parents’ narratives on sexuality education with their adolescent children

This paper is based on research undertaken in Ireland that sought to understand how parents communicate with their children about sexuality. Forty-three parents were interviewed and data were analysed using analytical induction. Data indicated that while parents tended to pride themselves on the culture of openness to sexuality that prevailed in their home, they often described situations where very little dialogue on the subject actually transpired. However, unlike previous research on the topic that identified parent-related factors (such as ignorance or embarrassment) as the main impediments to parent-young person communication about sex, participants in our study identified the central obstacle to be a reticence on the part of the young person to engage in such dialogue. Participants described various blocking techniques apparently used by the young people, including claims to have full prior knowledge on the issue, physically absenting themselves from the situation, becoming irritated or annoyed, or ridiculing parents' educational efforts. In our analysis, we consider our findings in light of the shifting power of children historically and the new cultural aspiration of maintaining harmonious and democratic relations with one's offspring.

Social Accounting Research as If The World Matters: An essay in postalgia and a new absurdism

This essay is intended as a self-reflective, auto-critique of the ‘social accounting community’. The essay is directed at the academic community of accountants concerned with social accounting. This `community' is predominantly concerned with English language accounting journals and is preoccupied with the social and environmental practices of the larger private sector organisations. The essay is motivated by a concern over our responsibilities as academics in a world in crisis and a concern that social accounting is losing its energy and revolutionary zeal. This community's social accounting endeavours have taken place in almost complete ignorance of the activities and developments in non accounting communities and, in particular, developments in the public and third sectors. The essay reaches out to the public and third sector work and literature as an illustration of one of the ways in which ‘our’ social accounting can try to prevent itself from becoming moribund.

A normative approach to the criminalisation of cartel activity

Although cartel behaviour is almost universally (and rightly) condemned, it is not clear why cartel participants deserve the full wrath of the criminal law and its associated punishment. To fill this void, I develop a normative (or principled) justification for the criminalisation of conduct characteristic of ‘hard core’ cartels. The paper opens with a brief consideration of the rhetoric commonly used to denounce cartel activity, eg that it ‘steals from’ or ‘robs’ consumers. To put the discussion in context, a brief definition of ‘hard core’ cartel behaviour is provided and the harms associated with this activity are identified. These are: welfare losses in the form of appropriation (from consumer to producer) of consumer surplus, the creation of deadweight loss to the economy, the creation of productive inefficiency (hindering innovation of both products and processes), and the creation of so-called X-inefficiency. As not all activities which cause harm ought to be criminalised, a theory as to why certain harms in a liberal society can be criminalised is developed. It is based on JS Mill's harm to others principle (as refined by Feinberg) and on a choice of social institutions using Rawls's ‘veil of ignorance.’ The theory is centred on the value of individual choice in securing one's own well-being, with the market as an indispensable instrument for this. But as applied to the harm associated with cartel conduct, this theory shows that none of the earlier mentioned problems associated with this activity provide sufficient justification for criminalisation. However, as the harm from hard core cartel activity strikes at an important institution which permits an individual's ability to secure their own well-being in a liberal society, criminalisation of hard core cartel behaviour can have its normative justification on this basis.

A tree augmented classifier based on Extreme Imprecise Dirichlet Model

We present TANC, a TAN classifier (tree-augmented naive) based on imprecise probabilities. TANC models prior near-ignorance via the Extreme Imprecise Dirichlet Model (EDM). A first contribution of this paper is the experimental comparison between EDM and the global Imprecise Dirichlet Model using the naive credal classifier (NCC), with the aim of showing that EDM is a sensible approximation of the global IDM. TANC is able to deal with missing data in a conservative manner by considering all possible completions (without assuming them to be missing-at-random), but avoiding an exponential increase of the computational time. By experiments on real data sets, we show that TANC is more reliable than the Bayesian TAN and that it provides better performance compared to previous TANs based on imprecise probabilities. Yet, TANC is sometimes outperformed by NCC because the learned TAN structures are too complex; this calls for novel algorithms for learning the TAN structures, better suited for an imprecise probability classifier.

A Tree Augmented Classifier Based on Extreme Imprecise Dirichlet Model

In this paper we present TANC, i.e., a tree-augmented naive credal classifier based on imprecise probabilities; it models prior near-ignorance via the Extreme Imprecise Dirichlet Model (EDM) (Cano et al., 2007) and deals conservatively with missing data in the training set, without assuming them to be missing-at-random. The EDM is an approximation of the global Imprecise Dirichlet Model (IDM), which considerably simplifies the computation of upper and lower probabilities; yet, having been only recently introduced, the quality of the provided approximation needs still to be verified. As first contribution, we extensively compare the output of the naive credal classifier (one of the few cases in which the global IDM can be exactly implemented) when learned with the EDM and the global IDM; the output of the classifier appears to be identical in the vast majority of cases, thus supporting the adoption of the EDM in real classification problems. Then, by experiments we show that TANC is more reliable than the precise TAN (learned with uniform prior), and also that it provides better performance compared to a previous (Zaffalon, 2003) TAN model based on imprecise probabilities. TANC treats missing data by considering all possible completions of the training set, but avoiding an exponential increase of the computational times; eventually, we present some preliminary results with missing data.

An Ambiguity Aversion Framework of Security Game under Ambiguities

Security is a critical concern around the world. Since resources for security are always limited, lots of interest have arisen in using game theory to handle security resource allocation problems. However, most of the existing work does not address adequately how a defender chooses his optimal strategy in a game with absent, inaccurate, uncertain, and even ambiguous strategy profiles' payoffs. To address this issue, we propose a general framework of security games under ambiguities based on Dempster-Shafer theory and the ambiguity aversion principle of minimax regret. Then, we reveal some properties of this framework. Also, we present two methods to reduce the influence of complete ignorance. Our investigation shows that this new framework is better in handling security resource allocation problems under ambiguities.