The neoliberalisation of the Cathedral Quarter and its contestations

Over time Belfast has been well researched as a site of ethnosectarian conflict, segregation and fear see (Boal et al 1976) and (Gaffiken and Morrisey 2011). The study of socio-spatial patterns of ‘ethnocracy’ is useful, but this article will argue how it is equally important to understand local forms of urban restructuring in terms of global processes that are linked to neoliberalism. To better understand the neoliberal urbanisation of Belfast this article is organised into two parts. The first part will demonstrate how the Northern Ireland State has sought legitimacy in the free market as ‘therapy’ for the production of neutral socio-spatial formations such as the Cathedral Quarter. Secondly it will examine this performance of neoliberal urbanism, as it ‘actually exists’ and demonstrate how market-led renewal has been extended through the clustering and non-sectarian interests, ‘soft’ arrangements of urban governance, cultural re-branding strategies, economic development incentives, and the development of various flagship projects. Critically this place-based grounding of neoliberalism is useful, as it also allows for the contestations of neoliberal urbanism to become real rather than just theoretical. The second part of the article will draw attention to the responses of local, and sometimes marginal, interests that have looked to challenge, adapt and, at times, divert the extension of market-led renewal. To be clear, this article does not want to overstate the performance of such interests. Nor does it want to claim that they significantly impact or obstruct the wider neoliberal urbanisation of Belfast. Instead it is interested in their behaviours and their different methods of working to explore what may be constituted as ‘alternative’, at least in the locality of the Cathedral Quarter. By studying how and why these interests have responded to the extension of neoliberal urbanism over time, it may just be possible to provide a better platform to articulate what more progressive forms of urban resistance might look like.

Investigating the Implications of a Variable RBE on Proton Dose Fractionation Across a Clinical Pencil Beam Scanned Spread-Out Bragg Peak

Purpose: To investigate the clinical implications of a variable relative biological effectiveness (RBE) on proton dose fractionation. Using acute exposures, the current clinical adoption of a generic, constant cell killing RBE has been shown to underestimate the effect of the sharp increase in linear energy transfer (LET) in the distal regions of the spread-out Bragg peak (SOBP). However, experimental data for the impact of dose fractionation in such scenarios are still limited.

Methods and Materials: Human fibroblasts (AG01522) at 4 key depth positions on a clinical SOBP of maximum energy 219.65 MeV were subjected to various fractionation regimens with an interfraction period of 24 hours at Proton Therapy Center in Prague, Czech Republic. Cell killing RBE variations were measured using standard clonogenic assays and were further validated using Monte Carlo simulations and parameterized using a linear quadratic formalism.

Results: Significant variations in the cell killing RBE for fractionated exposures along the proton dose profile were observed. RBE increased sharply toward the distal position, corresponding to a reduction in cell sparing effectiveness of fractionated proton exposures at higher LET. The effect was more pronounced at smaller doses per fraction. Experimental survival fractions were adequately predicted using a linear quadratic formalism assuming full repair between fractions. Data were also used to validate a parameterized variable RBE model based on linear α parameter response with LET that showed considerable deviations from clinically predicted isoeffective fractionation regimens.

Conclusions: The RBE-weighted absorbed dose calculated using the clinically adopted generic RBE of 1.1 significantly underestimates the biological effective dose from variable RBE, particularly in fractionation regimens with low doses per fraction. Coupled with an increase in effective range in fractionated exposures, our study provides an RBE dataset that can be used by the modeling community for the optimization of fractionated proton therapy.

Multilinear and Integer Programming for Markov Decision Processes with Imprecise Probabilities

Markov Decision Processes (MDPs) are extensively used to encode sequences of decisions with probabilistic effects. Markov Decision Processes with Imprecise Probabilities (MDPIPs) encode sequences of decisions whose effects are modeled using sets of probability distributions. In this paper we examine the computation of Γ-maximin policies for MDPIPs using multilinear and integer programming. We discuss the application of our algorithms to “factored” models and to a recent proposal, Markov Decision Processes with Set-valued Transitions (MDPSTs), that unifies the fields of probabilistic and “nondeterministic” planning in artificial intelligence research. 

PageRank in Malware Categorization

In this paper, we propose a malware categorization method that models malware behavior in terms of instructions using PageRank. PageRank computes ranks of web pages based on structural information and can also compute ranks of instructions that represent the structural information of the instructions in malware analysis methods. Our malware categorization method uses the computed ranks as features in machine learning algorithms. In the evaluation, we compare the effectiveness of different PageRank algorithms and also investigate bagging and boosting algorithms to improve the categorization accuracy.