Between Imaginary Lines: Violence and its Justifications at the Military Checkpoints in Occupied Palestine

Looking at one site, the Israeli checkpoints in the occupied Palestinian territory, this article seeks to understand the mechanisms by which violence can present itself as justifiable (or justified), even when it materializes within frames presumably set to annul it. We look at the checkpoints as a condensed microcosmos operating within two such frames. One is the prolonged IsraeliPalestinian ‘peace process’ (the checkpoints became a primary technology of control in the period following the beginning of the peace process), and the other is regulatory power (disciplinary and biopower), which in the Foucauldian framework presumably sidelines the violent form which sovereign power takes. We argue that the checkpoints, which dissect the Palestinian occupied territories into dozens of enclaves and which are one of the most effective and destructive means of control within the current stage of occupation, can be seen as more than obstacles in the way of Palestinian movement; we suggest that they also function as corrective technologies that are meant to fail. It is with this failure that violence can appear as justified. In order to show the operation of this embedded failure, we examine one mechanism operating within the checkpoints: ‘the imaginary line’. The imaginary line is both a component within, and an emblem of a mode of control that constantly undoes itself in order to summon violence. Since it is never visibly marked in the physical space, the imaginary line is bound to be unintentionally crossed, thereby randomly rendering Palestinians as ‘transgressors’ of the rule and thus facilitating eruptions of violence by the soldiers stationed at the checkpoints. This article proposes an analysis of this hidden demarcation of space in order to question the different relations between subjects and power which it both assumes and constitutes.

Testing genuine multipartite nonlocality in phase spacea

We demonstrate genuine three-mode nonlocality based on phase-space formalism. A Svetlichny-type Bell inequality is formulated in terms of the s-parametrized quasiprobability function. We test such a tool using exemplary forms of three-mode entangled states, identifying the ideal measurement settings required for each state. We thus verify the presence of genuine three-mode nonlocality that cannot be reproduced by local or nonlocal hidden variable models between any two out of three modes. In our results, GHZ- and W-type nonlocality can be fully discriminated. We also study the behavior of genuine tripartite nonlocality under the effects of detection inefficiency and dissipation induced by local thermal environments. Our formalism can be useful to test the sharing of genuine multipartite quantum correlations among the elements of some interesting physical settings, including arrays of trapped ions and intracavity ultracold atoms. DOI: 10.1103/PhysRevA.87.022123

Using Pedometer Step-Count Goals to Promote Physical Activity in Cardiac Rehabilitation: A Feasibility Study of a Controlled Trial

Background: There is a need to improve the effectiveness of strategies to help cardiac rehabilitation patients achieve recommended levels of physical activity; the use of pedometers requires further research. We aimed to examine the feasibility of a randomised controlled trial, of an intervention using pedometer step-count goals, to promote physical activity for cardiac rehabilitation patients. Methods: We invited patients who completed a supervised cardiac rehabilitation programme to participate in this community-based study. Consenting participants wore a Yamax CW-701 pedometer for one week, blinded to stepcount readings, before being randomly allocated to groups. Intervention groups were told their step-counts; working with a clinical facilitator (nurse or physiotherapist) individually, they set daily step-count goals and reviewed these weekly. Baseline step-counts were hidden from controls, who were not given pedometers but received ongoing weekly facilitator support. After six weeks both groups wore ‘blinded’ pedometers for outcome assessment and participated in semi-structured interviews which explored their experiences of the study. Outcomes included rates of uptake, adherence and completion of measures, including step-counts, quality of life (EQ-5D) and stage of behaviour change. Results: Four programme groups were recruited; two received the intervention. Of 68 invitees, 45 participated (66%) (19 intervention; 26 control). Forty-two (93%) completed the outcomes. Baseline characteristics were comparable between groups. Mean steps/day increased more for intervention participants (2,742; 95%CI 1,169 to 4,315) than controls (-42; 95%CI -1,102 to 1,017) (p=0.004). The intervention and on-going clinical contact were welcomed; participants considered that step-counts, compared to time-related targets, encouraged them to become more active. Conclusion: These findings suggest that an intervention using individually tailored step-count goals may help increase and sustain physical activity following a cardiac rehabilitation programme. A definitive randomised controlled trial using blinded outcome measurements is feasible and of potential value in determining how best to translate physical activity advice into practice.

Using ancestry-informative markers to identify fine structure across 15 populations of European origin

The Wellcome Trust Case Control Consortium 3 anorexia nervosa genome-wide association scan includes 2907 cases from 15 different populations of European origin genotyped on the Illumina 670K chip. We compared methods for identifying population stratification, and suggest list of markers that may help to counter this problem. It is usual to identify population structure in such studies using only common variants with minor allele frequency (MAF) >5%; we find that this may result in highly informative SNPs being discarded, and suggest that instead all SNPs with MAF >1% may be used. We established informative axes of variation identified via principal component analysis and highlight important features of the genetic structure of diverse European-descent populations, some studied for the first time at this scale. Finally, we investigated the substructure within each of these 15 populations and identified SNPs that help capture hidden stratification. This work can provide information regarding the designing and interpretation of association results in the International Consortia. 

Structural Capital of University Spin-Out Firms: The Moderating Role of University Incubators

University incubators (UI) are generally believed to be important in the successful commercialisation of university spin-outs (USO) with over half of all UK Universities having established an on-campus UI. In this chapter we examine the value of UIs in the spin-out process, focusing on the structural networks of USOs located in a UI as compared to USOs in a University with no access to a UI. Our primary research question is therefore: to what extent does the structural network of USOs with access to an on-campus UI differ from USOs without? The research therefore con-tributes to a growing critique of the effectiveness of UIs in commercialis-ing academic research and the recognition of positive direct and indirect externalities from participation in networks. Through network mapping of all USOs from two research intensive universities, we profile and ana-lyse the formal and informal network ties of USOs to various partners in-ternal and external to the host university. Through interviews we also consider how these networks enhance the resources and capabilities of USOs. Our findings highlight significant differences, with USOs located in a UI having more informal but fewer formal ties, both to other USOs as well as within the host University. In contrast, location in an incuba-tor was not found to affect the extent and nature of ties with external or-ganisations. Reasons for these differences are examined through inter-views with the USOs and point to various factors including the proactive brokering role of incubator and university staff, university bureaucracy, the hidden networks of executive board members across USOs, university equity investment policy and complementary technologies.

An overview of waste crime, its characteristics, and the vulnerability of the EU waste sector

While waste is increasingly viewed as a resource to be globally traded, increased regulatory control on waste across Europe has created the conditions where waste crime now operates alongside a legitimate waste sector. Waste crime,is an environmental crime and a form of white-collar crime, which exploits the physical characteristics of waste, the complexity of the collection and downstream infrastructure, and the market opportunities for profit. This paper highlights some of the factors which make the waste sector vulnerable to waste crime. These factors include new legislation and its weak regulatory enforcement, the economics of waste treatment, where legal and safe treatment of waste can be more expensive than illegal operations, the complexity of the waste sector and the different actors who can have some involvement, directly or indirectly, in the movement of illegal wastes, and finally that waste can be hidden or disguised and creates an opportunity for illegal businesses to operate alongside legitimate waste operators. The study also considers waste crime from the perspective of particular waste streams that are often associated with illegal shipment or through illegal treatment and disposal. For each, the nature of the crime which occurs is shown to differ, but for each, vulnerabilities to waste crime are evident. The paper also describes some approaches which can be adopted by regulators and those involved in developing new legislation for identifying where opportunities for waste crime occurs and how to prevent it.

A computational intelligent approach to multi-factor analysis of violent crime information systems

Various scientific studies have explored the causes of violent behaviour from different perspectives, with psychological tests, in particular, applied to the analysis of crime factors. The relationship between bi-factors has also been extensively studied including the link between age and crime. In reality, many factors interact to contribute to criminal behaviour and as such there is a need to have a greater level of insight into its complex nature. In this article we analyse violent crime information systems containing data on psychological, environmental and genetic factors. Our approach combines elements of rough set theory with fuzzy logic and particle swarm optimisation to yield an algorithm and methodology that can effectively extract multi-knowledge from information systems. The experimental results show that our approach outperforms alternative genetic algorithm and dynamic reduct-based techniques for reduct identification and has the added advantage of identifying multiple reducts and hence multi-knowledge (rules). Identified rules are consistent with classical statistical analysis of violent crime data and also reveal new insights into the interaction between several factors. As such, the results are helpful in improving our understanding of the factors contributing to violent crime and in highlighting the existence of hidden and intangible relationships between crime factors.

Pattern Recognition Approach for Road Collision Hotspots Analysis: Case Study of Northern Ireland

In order to address road safety effectively, it is essential to understand all the factors, which
attribute to the occurrence of a road collision. This is achieved through road safety
assessment measures, which are primarily based on historical crash data. Recent advances
in uncertain reasoning technology have led to the development of robust machine learning
techniques, which are suitable for investigating road traffic collision data. These techniques
include supervised learning (e.g. SVM) and unsupervised learning (e.g. Cluster Analysis).
This study extends upon previous research work, carried out in Coll et al. [3], which
proposed a non-linear aggregation framework for identifying temporal and spatial hotspots.
The results from Coll et al. [3] identified Lisburn area as the hotspot, in terms of road safety,
in Northern Ireland. This study aims to use Cluster Analysis, to investigate and highlight any
hidden patterns associated with collisions that occurred in Lisburn area, which in turn, will
provide more clarity in the causation factors so that appropriate countermeasures can be put
in place.

OLDER WOMEN’S LIFELONG EXPERIENCES OF DOMESTIC VIOLENCE IN NORTHERN IRELAND

Violence against women is a serious criminal and public health issue with devastating consequences for women, families and society. To date, little international research has been given to understanding the needs of older women, who are experiencing domestic violence; that is, physical, sexual, emotional or financial abuse carried out by a spouse or partner. This study fills a significant gap in the literature as the needs of older women who have experienced a lifetime of domestic violence in Northern Ireland are unknown. Health professionals, service providers and policy makers often assume that violence stops at age 55 and there is a noticeable lack of literature, research and guidelines on the issue. The greatest challenge for health visitors is that abuse remains hidden, with women remaining silent and finding it difficult to speak openly or seek help.

Session organiser/chair: Architecture, Infrastructure and the Making of Modern Ireland

‘A free Ireland would drain the bogs, would harness the rivers, would plant the wastes, would nationalise the railways and the waterways, would improve agriculture, would protect fisheries, would foster industries, would promote commerce, and beautify the cities …’ (Padraig Pearse, ‘From a Hermitage’, 1913)

Somewhat unusually in his often romantic writings Padraig Pearse – poet, pedagogue and revolutionary – chose to describe the future of an independent Ireland in terms of infrastructure and technological processes. Terence Brown’s locating of this excerpt at the beginning his seminal work Ireland: A Social and Cultural History 1922-2002 highlights the simultaneous and interlinking construction of both a new physical and cultural landscape for an independent modern nation. Lacking any significant industrial complex, the construction of new infrastructures in Ireland was seen throughout the 20th century as a key element in the building of the new State, just as the adoption of an international style modernism in architecture was perceived as a way to escape the colonial past. For Paul N. Edwards modernity and infrastructure are intimately connected.

‘infrastructures simultaneously shape and are shaped – in other words, co-construct – the condition of modernity. By linking macro, meso, and micro scales of time, space and social organisation, they form the stable foundation of modern social worlds’ (2003: 186).
Simultaneously omnipresent and invisible – infra means beneath – Edwards also points out that infrastructure tends only to become apparent when it is either new or broken. Interpreting the meso scale as being that of the building, this session calls for papers that critically and analytically investigate aspects of the architectures of infrastructure in 20th-century Ireland. Like the territory they explore these papers may range across scales to oscillate between a concern for the artefact and its physical landscape, and the larger, often hidden systems and networks that co-define this architecture.

Probabilistic Inference in Credal Networks: New Complexity Results

Credal networks are graph-based statistical models whose parameters take values in a set, instead of being sharply specified as in traditional statistical models (e.g., Bayesian networks). The computational complexity of inferences on such models depends on the irrelevance/independence concept adopted. In this paper, we study inferential complexity under the concepts of epistemic irrelevance and strong independence. We show that inferences under strong independence are NP-hard even in trees with binary variables except for a single ternary one. We prove that under epistemic irrelevance the polynomial-time complexity of inferences in credal trees is not likely to extend to more general models (e.g., singly connected topologies). These results clearly distinguish networks that admit efficient inferences and those where inferences are most likely hard, and settle several open questions regarding their computational complexity. We show that these results remain valid even if we disallow the use of zero probabilities. We also show that the computation of bounds on the probability of the future state in a hidden Markov model is the same whether we assume epistemic irrelevance or strong independence, and we prove an analogous result for inference in Naive Bayes structures. These inferential equivalences are important for practitioners, as hidden Markov models and Naive Bayes networks are used in real applications of imprecise probability.

Cultivating Compassion through analysis of online patient narratives

Compassion is at the forefront of national and international healthcare policy, practice and educational debates as a result of a series of recent reports (Mid Staffordshire NHS Foundation Trust Inquiry, 2010, Lown et al 2011, Mannion, 2014). Arguably, this emphasis on compassion is in juxtaposition to an increasingly complex technological healthcare system focused upon outcomes, efficiency, productivity and competence. Within this fast paced and time pressured environment innovative strategies are required to cultivate and sustain compassion among healthcare professionals.

Understanding the person’s experience of illness and making an emotional connection are key processes in cultivating compassion (Dewar, 2013). The exponential growth in unsolicited patient narratives has the potential to provide invaluable insight into what matters to patients and their experience of illness. For many patients these stories ‘reclaim’ their illnesses from the traditional biomedical model of disease and reveal otherwise hidden aspects of their experience. The content though freely accessible, is however unedited and lacks safeguards in relation to the quality or accuracy of the information provided. Despite these concerns, healthcare professionals are now challenged to pay attention to these unsolicited patient stories and to consider how they can inform and improve patient care.

This paper discusses the use of online patient narratives in undergraduate nurse education to cultivate compassion. Critical analysis of online patient narratives is advocated as a potential educational strategy to cultivate compassion among future health care professionals.

References
Dewar,B. (2013) Cultivating compassionate care Nursing Standard 27, (34) 48-55

Lown B, Rosen J, Martilla J.(2011) An agenda for improving compassionate care: a survey shows about half of patients say such care is missing. Health Affairs (Millwood) 30, 1772–8.
Mannion,R. (2014) Enabling compassionate healthcare: perils, prospects and perspectives International Journal of Health Policy and Management 2, 115-7
Mid Staffordshire NHS Foundation Trust Inquiry (2010). Independent Inquiry into care provided by Mid Staffordshire NHS Foundation London: Stationery Office.

Moving on, not out: when young people remain homeless

This article explores the contours of continued housing instability among a group of young people who are participants in a qualitative longitudinal study of youth homelessness in Dublin, Ireland, and considers the limitations of the ‘acculturation’ thesis in explaining long-term homelessness amongst the young. Baseline interviews were conducted with 40 young people, aged 14–23 years, in 2004, and follow-up interviews were conducted with 30 research participants successfully ‘tracked’ in 2005–06. By the time of follow-up, 17 of those interviewed had exited homelessness and 13 remained homeless. The article focuses on the latter group with the aim of exploring the processes and experiences associated with their continued homelessness. The findings presented demonstrate the adverse impact of their ongoing movement through emergency services targeting the under-18s, including their greater immersion in drug and criminal lifestyles. A majority had experienced one or more period of incarceration by the time of follow-up, and many were users of adult homeless services. Whilst some dimensions of young people's accounts are suggestive of a process of acculturation to street and hostel life, we argue that their continued homelessness is better explained as a consequence of their ongoing and unresolved transience and, in particular, their continued dependence on emergency hostel accommodation. The implications of the findings for policy and service provision for homeless young people are discussed.

The Meaning of Drug Use among Homeless Young People:A longitudinal pathways analysis

A strong link between drug use and homelessness has long since been documented in the international literature. However, much of the research has concentrated on the direction of the relationship between drug use and homelessness, seeking to establish drug use as a cause or consequence of homelessness, with far less attention to the intersection of drug and homeless ‘careers’. This paper examines the drug and homeless pathways of young people who are participants in a qualitative longitudinal study of homeless youth in Dublin, Ireland. The findings highlight downward drug transitions as associated with exiting homelessness and continued or escalated consumption as associated with remaining homeless. Analyses of the meanings young people attach to drug use over time reveal the importance of housing as an enabler to engaging with treatment and as assisting the process of becoming and remaining drug free. Young people who remained homeless did not accept their situations, as ‘acculturation’ accounts would suggest; rather, they aspired to changing their situations. However, they also face strong barriers to accessing housing which in turn hamper their efforts to address the matter of their drug use. The implications for how the homeless/drug use ‘nexus’ is conceptualised and understood, as well as implications for policy, are discussed.