Facet-Dependent Catalytic Activity of Platinum Nanocrystals for Triiodide Reduction in Dye-Sensitized Solar Cells

Platinum (Pt) nanocrystals have demonstrated to be an effective catalyst in many heterogeneous catalytic processes. However, pioneer facets with highest activity have been reported differently for various reaction systems. Although Pt has been the most important counter electrode material for dye-sensitized solar cells (DSCs), suitable atomic arrangement on the exposed crystal facet of Pt for triiodide reduction is still inexplicable. Using density functional theory, we have investigated the catalytic reaction processes of triiodide reduction over {100}, {111} and {411} facets, indicating that the activity follows the order of Pt(111) > Pt(411) > Pt(100). Further, Pt nanocrystals mainly bounded by {100}, {111} and {411} facets were synthesized and used as counter electrode materials for DSCs. The highest photovoltaic conversion efficiency of Pt(111) in DSCs confirms the predictions of the theoretical study. These findings have deepened the understanding of the mechanism of triiodide reduction at Pt surfaces and further screened the best facet for DSCs successfully.

Testing preference formation in learning design contingent valuation (LDCV) using advanced information and repetitive treatments

Policymakers have largely replaced Single Bounded Discrete Choice (SBDC) valuation by the more statistically efficient repetitive methods; Double Bounded Discrete Choice (DBDC) and Discrete Choice Experiments (DCE) . Repetitive valuation permits classification into rational preferences: (i) a priori well-formed; (ii) consistent non-arbitrary values “discovered” through repetition and experience; (Plott, 1996; List 2003) and irrational preferences; (iii) consistent but arbitrary values as “shaped” by preceding bid level (Tufano, 2010; Ariely et al., 2003) and (iv) inconsistent and arbitrary values. Policy valuations should demonstrate behaviorally rational preferences. We outline novel methods for testing this in DBDC applied to renewable energy premiums in Chile.

Rational Partial Choice Functions and Their Application to Belief Revision.

Necessary and sufficient conditions for choice functions to be rational have been intensively studied in the past. However, in these attempts, a choice function is completely specified. That is, given any subset of options, called an issue, the best option over that issue is always known, whilst in real-world scenarios, it is very often that only a few choices are known instead of all. In this paper, we study partial choice functions and investigate necessary and sufficient rationality conditions for situations where only a few choices are known. We prove that our necessary and sufficient condition for partial choice functions boils down to the necessary and sufficient conditions for complete choice functions proposed in the literature. Choice functions have been instrumental in belief revision theory. That is, in most approaches to belief revision, the problem studied can simply be described as the choice of possible worlds compatible with the input information, given an agent’s prior belief state. The main effort has been to devise strategies in order to infer the agents revised belief state. Our study considers the converse problem: given a collection of input information items and their corresponding revision results (as provided by an agent), does there exist a rational revision operation used by the agent and a consistent belief state that may explain the observed results?

Representing Irishness in Belfast’s Gaeltacht Quarter

This paper examines a place-making project in post-conflict Belfast, analyzing efforts to transform an area which has often been used as a byword for militant Irish nationalism and social deprivation into an inclusive, vibrant tourist destination and cultural hub themed around the Irish language (called the "Gaeltacht Quarter‟). The antagonistic and territorial assumptions about place that characterize divided cities now co-exist with global trends towards the commodification of difference as recreation or spectacle, and longstanding struggles over the representation of contested identities are intertwined with the struggle to compete for international tourism and investment. The proliferation of officially themed quarters in many cities across the world reflects the enthusiasm with which planning authorities have embraced the vision of difference as a benign resource for the creation of tourist revenue. Yet, analysis of „quartering‟ processes reveals that such commodification does not neutralise or evade the political potency of naming, representing and delimiting cultural difference. Indeed, this paper argues that such projects offer a valuable insight into the inseparable roles of physical and representational space as both loci and catalysts of contestation in urban conflicts. Bringing together a wide range of public and private interest groups, projects redefining parts of Belfast as distinctive quarters have been explicitly linked with efforts to deterritorialize the city. The creation of bounded, themed spaces as an attempt to leave behind the ethno-sectarian geographical segregation that parts of Belfast still experience has its particular ironies, but is in many ways typical of contemporary trends in urban planning. The Gaeltacht Quarter exemplifies both the importance and the challenge of representation within cities where culturally distinguishing features have acted as markers of violent division, and where negotiations about how to successfully encompass difference necessarily address multiple local and international audiences simultaneously.

From the Right to Life to the Right to Livability: Radically Re-approaching ‘Life’ in Human Rights Politics

This article critically reflects on current mainstream debate on abortion in international human rights discourse and the conception of life underpinning it. The public health focus on access to safe abortion which has dominated this discourse can be detected as committed to a fundamentally liberal idea of bounded and individual subjecthood which mirrors the commitments of the liberal right to life more generally. However, feminist challenges to this frame seeking to advance wider access to reproductive freedoms appear equally underpinned by a liberal conception of life. It is asserted that feminists may offer a more radical challenge to the current impasse in international debate on abortion by engaging with the concept of livability which foregrounds life as an interdependent and conditioned process. The trope of the ‘right to livability’ developed in this article presents a means to reposition the relation between rights and life and facilitate such radical engagement which better attends to the socio-political conditions shaping our interdependent living and being.

Enabling Robust and Efficient Distributed Computation in Dynamic Peer-to-Peer Networks

Motivated by the need for designing efficient and robust fully-distributed computation in highly dynamic networks such as Peer-to-Peer (P2P) networks, we study distributed protocols for constructing and maintaining dynamic network topologies with good expansion properties. Our goal is to maintain a sparse (bounded degree) expander topology despite heavy {\em churn} (i.e., nodes joining and leaving the network continuously over time). We assume that the churn is controlled by an adversary that has complete knowledge and control of what nodes join and leave and at what time and has unlimited computational power, but is oblivious to the random choices made by the algorithm. Our main contribution is a randomized distributed protocol that guarantees with high probability the maintenance of a {\em constant} degree graph with {\em high expansion} even under {\em continuous high adversarial} churn. Our protocol can tolerate a churn rate of up to $O(n/\poly\log(n))$ per round (where $n$ is the stable network size). Our protocol is efficient, lightweight, and scalable, and it incurs only $O(\poly\log(n))$ overhead for topology maintenance: only polylogarithmic (in $n$) bits needs to be processed and sent by each node per round and any node's computation cost per round is also polylogarithmic. The given protocol is a fundamental ingredient that is needed for the design of efficient fully-distributed algorithms for solving fundamental distributed computing problems such as agreement, leader election, search, and storage in highly dynamic P2P networks and enables fast and scalable algorithms for these problems that can tolerate a large amount of churn.

DEX: self-healing expanders

Inside the tent: Community and government in refugee camps

Refugee camps are increasingly managed through a liberal rationality of government similar to that of many industrialized societies, with security mechanisms being used to optimize the life of particular refugee populations. This governmentality has encompassed programmes introduced by the United Nations High Commissioner for Refugees (UNHCR) and various non-governmental organizations (NGOs) to build and empower communities through the spatial technology of the camp. The present article argues that such attempts to ‘govern through community’ have been too easily dismissed or ignored. It therefore examines how such programmes work to produce, manage and conduct refugees through the use of a highly instrumentalized understanding of community in the spatial and statistical management of displaced people in camps. However, community is always both more and less than what is claimed of it, and therefore undermines attempts to use it as a governing tactic. By shifting to a more ontological understanding of community as unavoidable coexistence, inspired by Jean-Luc Nancy, we can see how the scripting of and government through community in camps is continually exceeded, redirected and resisted. Ethnographies of specific camps in Africa and the Middle East enable us both to see how the necessary sociality of being resists its own instrumentalization and to view the camp as a spatial security technology. Such resistance does not necessarily lead to greater security, but it redirects our attention to how community is used to conduct the behaviour of refugees, while also producing counter-conducts that offer greater agency, meaning and mobility to those displaced in camps.

Finite domination and Novikov rings. Laurent polynomial rings in several variables

We present a homological characterisation of those chain complexes of modules over a Laurent polynomial ring in several indeterminates which are finitely dominated over the ground ring (that is, are a retract up to homotopy of a bounded complex of finitely generated free modules). The main tools, which we develop in the paper, are a non-standard totalisation construction for multi-complexes based on truncated products, and a high-dimensional mapping torus construction employing a theory of cubical diagrams that commute up to specified coherent homotopies.

Dynamic State Estimation of Power Systems with Quantization Eects: A Recursive Filter Approach

In this paper, a recursive filter algorithm is developed to deal with the state estimation problem for power systems with quantized nonlinear measurements. The measurements from both the remote terminal units and the phasor measurement unit are subject to quantizations described by a logarithmic quantizer. Attention is focused on the design of a recursive filter such that, in the simultaneous presence of nonlinear measurements and quantization effects, an upper bound for the estimation error covariance is guaranteed and subsequently minimized. Instead of using the traditional approximation methods in nonlinear estimation that simply ignore the linearization errors, we treat both the linearization and quantization errors as norm-bounded uncertainties in the algorithm development so as to improve the performance of the estimator. For the power system with such kind of introduced uncertainties, a filter is designed in the framework of robust recursive estimation, and the developed filter algorithm is tested on the IEEE benchmark power system to demonstrate its effectiveness.

Appropriate complexity for the prediction of coastal and estuarine geomorphic behaviour at decadal to centennial scales

Coastal and estuarine landforms provide a physical template that not only accommodates diverse ecosystem functions and human activities, but also mediates flood and erosion risks that are expected to increase with climate change. In this paper, we explore some of the issues associated with the conceptualisation and modelling of coastal morphological change at time and space scales relevant to managers and policy makers. Firstly, we revisit the question of how to define the most appropriate scales at which to seek quantitative predictions of landform change within an age defined by human interference with natural sediment systems and by the prospect of significant changes in climate and ocean forcing. Secondly, we consider the theoretical bases and conceptual frameworks for determining which processes are most important at a given scale of interest and the related problem of how to translate this understanding into models that are computationally feasible, retain a sound physical basis and demonstrate useful predictive skill. In particular, we explore the limitations of a primary scale approach and the extent to which these can be resolved with reference to the concept of the coastal tract and application of systems theory. Thirdly, we consider the importance of different styles of landform change and the need to resolve not only incremental evolution of morphology but also changes in the qualitative dynamics of a system and/or its gross morphological configuration. The extreme complexity and spatially distributed nature of landform systems means that quantitative prediction of future changes must necessarily be approached through mechanistic modelling of some form or another. Geomorphology has increasingly embraced so-called ‘reduced complexity’ models as a means of moving from an essentially reductionist focus on the mechanics of sediment transport towards a more synthesist view of landform evolution. However, there is little consensus on exactly what constitutes a reduced complexity model and the term itself is both misleading and, arguably, unhelpful. Accordingly, we synthesise a set of requirements for what might be termed ‘appropriate complexity modelling’ of quantitative coastal morphological change at scales commensurate with contemporary management and policy-making requirements: 1) The system being studied must be bounded with reference to the time and space scales at which behaviours of interest emerge and/or scientific or management problems arise; 2) model complexity and comprehensiveness must be appropriate to the problem at hand; 3) modellers should seek a priori insights into what kind of behaviours are likely to be evident at the scale of interest and the extent to which the behavioural validity of a model may be constrained by its underlying assumptions and its comprehensiveness; 4) informed by qualitative insights into likely dynamic behaviour, models should then be formulated with a view to resolving critical state changes; and 5) meso-scale modelling of coastal morphological change should reflect critically on the role of modelling and its relation to the observable world.