Preface

John Dennis Hey was born on 26 September 1944 and is a Professor of Economics and Statistics and Director of the Centre for Experimental Economics (EXEC) at the University of York . Between 1997 and 2011, he held a dual appointment as Professore Ordinario in Italy, first at the University of Bari and later at LUISS in Rome . He was Managing Editor of the Economic Journal from 1986 to 1996, and co-founder of several centres and laboratories in experimental economics, including EXEC at the University of York, Centro di Economia Sperimentale A Roma Est (CESARE) at LUISS, and Economia Sperimentale al Sud d’Europa (ESSE) at the University of Bari. He is the author or co-author of more than 100 research articles, and author, editor or co-editor of more than 20 books. To celebrate John Hey’s 70th birthday, this special issue has been prepared to acknowledge his important contributions in the field of decision making under risk and uncertainty

Can SMEs survive climate change? Eva Marie Arts and Crafts versus Typhoon Yolanda

On 8 November 2013, Typhoon Yolanda — the strongest storm ever to make landfall in recorded history — hit the Philippines. As part of its repercussions, a storm surge of anywhere from 3 to 5 meters (10-17 feet) in height hit the islands of Leyte and Samar. Typhoon Yolanda devastated many micro, small and medium sized enterprises (SMEs), not merely in terms of their infrastructure, but also by harming workers, disrupting supply chains, and crippling public services. Many are concerned that the recovery from the aftermath of typhoon Yolanda will be much slower if the enterprises forming the backbone of the domestic economy are unable to resuscitate investments and job creation in the area. And if storms like Yolanda increase in frequency and intensity due to climate change, then there is also the concern that only larger firms will be able to adapt with strong disaster risk management strategies. On the other hand, SMEs could systematically lose out, reducing their competitiveness and marginalizing them in disaster-prone economies. To help identify and illustrate the important factors that might influence the abovementioned outcomes, this case focuses on the production chain of Eva Marie Arts and Crafts, Inc., a handicraft producer in Basey, Samar. The case describes how this particular enterprise (a small-scaled firm) fared when Typhoon Yolanda struck. It illustrates the important linkages across the resilience of this firm with the resilience of the entire production chain to which it belongs

Distance and the pattern of intra-European trade

Given an undirected graph G = (V, E) and subset of terminals T ⊆ V, the element-connectivity κ ′ G (u, v) of two terminals u, v ∈ T is the maximum number of u-v paths that are pairwise disjoint in both edges and non-terminals V \ T (the paths need not be disjoint in terminals). Element-connectivity is more general than edge-connectivity and less general than vertex-connectivity. Hind and Oellermann [21] gave a graph reduction step that preserves the global element-connectivity of the graph. We show that this step also preserves local connectivity, that is, all the pairwise element-connectivities of the terminals. We give two applications of this reduction step to connectivity and network design problems. • Given a graph G and disjoint terminal sets T1, T2,..., Tm, we seek a maximum number of elementdisjoint Steiner forests where each forest connects each Ti. We prove that if each Ti is k element k connected then there exist Ω( log hlog m) element-disjoint Steiner forests, where h = | i Ti|. If G is planar (or more generally, has fixed genus), we show that there exist Ω(k) Steiner forests. Our proofs are constructive, giving poly-time algorithms to find these forests; these are the first non-trivial algorithms for packing element-disjoint Steiner Forests. • We give a very short and intuitive proof of a spider-decomposition theorem of Chuzhoy and Khanna [12] in the context of the single-sink k-vertex-connectivity problem; this yields a simple and alternative analysis of an O(k log n) approximation. Our results highlight the effectiveness of the element-connectivity reduction step; we believe it will find more applications in the future

Cardiovascular Magnetic Resonance Imaging in Familial Dilated Cardiomyopathy

Dilated cardiomyopathy (DCM) is a common cause of non-ischaemic heart failure, conferring high morbidity and mortality, including sudden cardiac death due to systolic dysfunction or arrhythmic sudden death. Within the DCM cohort exists a group of patients with familial disease. In this article we review the pathophysiology and cardiac imaging findings of familial DCM, with specific attention to known disease subtypes. The role of advanced cardiac imaging cardiovascular magnetic resonance is still accumulating, and there remains much to be elucidated. We discuss its potential clinical roles as currently known, with respect to diagnostic utility and risk stratification. Advances in such risk stratification may help target pharmacological and device therapies to those at highest risk

Child Well-being in the Pacific Rim

This study extends previous efforts to compare the well-being of children using multi-dimensional indicators derived from sample survey and administrative series to thirteen countries in the Pacific Rim. The framework for the analysis of child well-being is to organise 46 indicators into 21 components and organise the components into 6 domains: material situation, health, education, subjective well-being, living environment, as well as risk and safety. Overall, Japan, Singapore and Taiwan have the highest child well-being and Thailand, Indonesia and the Philippines the lowest. However, there are substantial variations between the domains. Japan and Korea perform best on the material well-being of children and also do well on health and education but they have the lowest subjective well-being among their children by some margin. There is a relationship between child well-being and GDP per capita but children in China have higher well-being than you would expect given their GDP and children in Australia have lower well-being. The analysis is constrained by missing data particularly that the Health Behaviour of School-Aged Children Survey is not undertaken in any of these countries

Anelasticity across seismic to tidal timescales: a self-consistent approach

In a pioneering study, Wahr & Bergen developed the widely adopted, pseudo-normal mode framework for predicting the impact of anelastic effects on the Earth's body tides. Lau $\textit{et al.}$ have recently derived an extended normal mode treatment of the problem (as well as a minor variant of the theory known as the direct solution method) that makes full use of theoretical developments in free oscillation seismology spanning the last quarter century and that avoids a series of assumptions and approximations adopted in the traditional theory for predicting anelastic effects. There are two noteworthy differences between these two theories: (1) the traditional theory only considers perturbations to the eigenmodes of an elastic Earth, whereas the new theory augments this set of modes to include the relaxation modes that arise in anelastic behaviour; and (2) the traditional theory approximates the complex perturbation to the tidal Love number as a scaled version of the complex perturbation to the elastic moduli, whereas the new theory computes the full complex perturbation to each eigenmode. In this study, we highlight the above differences using a series of synthetic calculations, and demonstrate that the traditional theory can introduce significant error in predictions of the complex perturbation to the Love numbers due to anelasticity and the related predictions of tidal lag angles. For the simplified Earth models we adopt, the computed lag angles differ by ∼20 per cent. The assumptions in the traditional theory have important implications for previous studies that use model predictions to correct observables for body tide signals or that analyse observations of body tide deformation to infer mantle anelastic structure. Finally, we also highlight the fundamental difference between apparent attenuation (i.e. attenuation inferred from observations or predicted using the above theories) and intrinsic attenuation (i.e. the material property investigated through experiments), where both are often expressed in terms of lag angles or $\textit{Q}$$^{-1}$. In particular, we demonstrate the potentially significant (factor of two or more) bias introduced in estimates of $\textit{Q}$$^{-1}$ and its frequency dependence in studies that have treated $\textit{Q}$$^{-1}$ determined from tidal phase lags or measured experimentally as being equal. The observed or theoretically predicted lag angle (or apparent $\textit{Q}$$^{-1}$) differs from the intrinsic, material property due to inertia, self-gravity and effects associated with the energy budget. By accounting for these differences we derive, for a special case, an expression that accurately maps apparent attenuation predicted using the extended normal mode formalism of Lau $\textit{et al.}$ into intrinsic attenuation. The theory allows for more generalized mappings which may be used to robustly connect observations and predictions of tidal lag angles to results from laboratory experiments of mantle materials.This work was supported by NSF EAR-1464024, NSF EAR-1215061, and Harvard University

Studies of release properties of ISOLDE targets

Off-line release rates of Be, Mg, S, Mn and Kr from refractory materials were studied. Mn yields were determined from a ZrO2 target and Kr yields from a SrO and ZrO2 targets. A Monte Carlo code to optimize ISOLDE targets was introduced

The design and development of online authentic learning environment for knowledge construction in learning inferential statistics

One of the major problems in learning statistics is due to the learning decontextualized from the real world experience. The students are unable to apply statistical knowledge learnt in real world upon completion of the course. The authentic learning is viewed as a favourable approach in statistics delivery to overcome the problem. However, implementing authentic learning in online platform can be extremely resource intensive and costly to develop. Therefore this paper looked into an innovative and cost effective approach to incorporate the nine critical characteristics of Authentic Learning Model by Herrington and Oliver (2000), underpinned by Vygotsky (1978) Social Development Theory and Lave and Wenger (1991) Situated Learning Theory to develop an online authentic learning environment (OnALE) that foster students' knowledge construction in learning inferential statistics among non-statistics major undergraduates. This environment is established in a social learning network, Edmodo by incorporating Web 2.0 technologies. Perception survey done indicates that OnALE assisted students learning

Critical Exponents of the Classical 3D Heisenberg Model: A Single-Cluster Monte Carlo Study

We have simulated the three-dimensional Heisenberg model on simple cubic lattices, using the single-cluster Monte Carlo update algorithm. The expected pronounced reduction of critical slowing down at the phase transition is verified. This allows simulations on significantly larger lattices than in previous studies and consequently a better control over systematic errors. In one set of simulations we employ the usual finite-size scaling methods to compute the critical exponents $\nu,\alpha,\beta,\gamma, \eta$ from a few measurements in the vicinity of the critical point, making extensive use of histogram reweighting and optimization techniques. In another set of simulations we report measurements of improved estimators for the spatial correlation length and the susceptibility in the high-temperature phase, obtained on lattices with up to $100^3$ spins. This enables us to compute independent estimates of $\nu$ and $\gamma$ from power-law fits of their critical divergencies.Comment: 33 pages, 12 figures (not included, available on request). Preprint FUB-HEP 19/92, HLRZ 77/92, September 199