An Analysis and Production Book for a Contemporary Staging of Irwin Shaw's Bury the Dead

The problem of this thesis is concerned with the directing and producing of a 1936 peace play, Bury the Dead, by Irwin Shaw. The production attempts to heighten the relevancy of the play to modern audiences. The project experiments with applying contemporary machines and techniques to a dated script containing realistic dialogue, a dualistic point of view, and a surrealistic idea of dead soldiers rising from their graves. The task generates a particular responsibility and challenge in that the use of contemporary machinery must be carefully chosen in such a way that it does not interfere with the message of the play

Microearthquake Study of the Salton Sea Geothermal Field, California: Evidence of Stress Triggering

A digital network of 24 seismograph stations was operated from September 15, 1987 to September 30, 1988, by Lawrence Livermore National Laboratory and Unocal as part of the Salton Sea Scientific Drilling Project to study seismicity related to tectonics and geothermal activity near the drilling site. More than 2001 microearthquakes were relocated in this study in order to image any pervasive structures that may exist within the Salton Sea geothermal field. First, detailed velocity models were obtained through standard 1-D inversion techniques. These velocity models were then used to relocate events using both single event methods and Double-Differencing, a joint hypocenter location method. An anisotropic velocity model was built from anisotropy estimates obtained from well logs within the study area. During the study period, the Superstition wills sequence occurred with two moderate earthquakes of MS 6.2 and MS 6.6. These moderate earthquakes caused a rotation of the stress field as observed from the inversion of first motion data from microearthquakes at the Salton Sea geothermal field. Coulomb failure analysis also indicates that microearthquakes occurring after the Superstition Hills sequence are located within a region of stress increase suggesting stress triggering caused by the moderate earthquakes

Design and fabrication of a SIO2/ST-cut quartz love mode surface acoustic wave transducer for operation in liquid media

Love mode surface acoustic wave (SAW) transducers were designed and fabricated by depositing silicon dioxide on a ST-cut quartz crystal wafer using r.f. magnetron sputtering. Two different propagation directions have been investigated by aligning the SAW finger pattern along the x-axis propagation direction and the direction orthogonal to the x-axis of the ST-cut quartz crystal. The latter, in which the propagation mode is dominantly the Love mode, shows promising characteristics for use as a high frequency SAW transducer because of high acoustic wave propagation velocity and electromechanical coupling coefficient. Phase and group velocity, capacitance per unit length of electrodes, insertion loss and input admittance, of two transducers, with different alignments, have been measured and compared

EdMot: An Edge Enhancement Approach for Motif-aware Community Detection

Network community detection is a hot research topic in network analysis. Although many methods have been proposed for community detection, most of them only take into consideration the lower-order structure of the network at the level of individual nodes and edges. Thus, they fail to capture the higher-order characteristics at the level of small dense subgraph patterns, e.g., motifs. Recently, some higher-order methods have been developed but they typically focus on the motif-based hypergraph which is assumed to be a connected graph. However, such assumption cannot be ensured in some real-world networks. In particular, the hypergraph may become fragmented. That is, it may consist of a large number of connected components and isolated nodes, despite the fact that the original network is a connected graph. Therefore, the existing higher-order methods would suffer seriously from the above fragmentation issue, since in these approaches, nodes without connection in hypergraph can't be grouped together even if they belong to the same community. To address the above fragmentation issue, we propose an Edge enhancement approach for Motif-aware community detection (EdMot). The main idea is as follows. Firstly, a motif-based hypergraph is constructed and the top K largest connected components in the hypergraph are partitioned into modules. Afterwards, the connectivity structure within each module is strengthened by constructing an edge set to derive a clique from each module. Based on the new edge set, the original connectivity structure of the input network is enhanced to generate a rewired network, whereby the motif-based higher-order structure is leveraged and the hypergraph fragmentation issue is well addressed. Finally, the rewired network is partitioned to obtain the higher-order community structure.Comment: 9 pages, 4 figures, Accepted by KDD 1

Croydon's tower: reconciling old traumas and new hopes

The suburban town of Croydon exists as one of London's thirty-three boroughs. Located to the south, it has historically been an important gateway bridging central London with South East England. Croydon has the largest population of all the boroughs, boasts the third largest office stock in London and the largest shopping centre in south London. This article examines how Croydon's changing architectural landscapes remember, and rework, urban traumas. It focuses on the adaptive reuse of Croydon's 1960s podium and tower office stock; the iconic Nestle Tower is discussed as an exemplar

A new parameterisation for runup on gravel beaches

publisher: Elsevier articletitle: A new parameterisation for runup on gravel beaches journaltitle: Coastal Engineering articlelink: http://dx.doi.org/10.1016/j.coastaleng.2016.08.003 content_type: article copyright: © 2016 The Authors. Published by Elsevier B.V. Open Access funded by Engineering and Physical Sciences Research Counci

Up in the Air: A Global Estimate of Non-Violent Drone Use 2009-2015

The use of unmanned aerial vehicles (UAVs), or drones, has increased dramatically in recent years. While most attention has gone to military drone use, commercial drones have gained widespread popularity, with uses ranging from leisure activities by hobbyists to humanitarian aid and disaster relief support by non-governmental organizations (NGOs) and activist groups. This use has been hard to quantify and regulate. In an effort to better understand the rapid growth of non-weaponized drone, this report analyzes cases of worldwide drone use reported during a six-year period (2009-2015). Utilizing a combination of qualitative and quantitative methods, we engage two distinct research questions: (1) what is the nature of civilian drone use over time, and (2) what regulatory responses exist to use at the international, state, and sub-state levels. This six-year window generated more than 15,000 news items for analysis, and resulted in a dataset of 1,145 unique uses. The findings are in line with popular reports: drone usage has grown significantly. New platforms in civilian hands are challenging the status quo response of both regulators and human rights groups. While ethical considerations make direct comparisons nearly useless, non-military use has eclipsed military use. This reality poses fresh challenges to national governments, local municipalities, businesses, and individual actors.https://digital.sandiego.edu/gdl2016report/1000/thumbnail.jp

Role of wave forcing, storms and nao in outer bar dynamics on a high-energy, macro-tidal beach

EPSRC funded. NERC–RNLI partnership grant NE/H004262/1 The full text is under embargo until 02.08.15 NOTICE: this is the author’s version of a work that was accepted for publication in Geomorphology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Geomorphology, [VOL 226, (02.08.14)] DOI 10.1016/j.geomorph.2014.07.02

Mapping natural capital: optimising the use of national scale datasets

Understanding the spatial distribution of specific environmental variables and the interdependencies of these variables is crucial for managing the environment in a sustainable way. Here we discuss two methods of mapping – a Geographical Information System classification-based approach and a statistical model-based approach. If detailed, spatially comprehensive covariate datasets exist to complement the ecological-response data, then using a statistical model-based analysis provides the potential for greater understanding of underlying relationships, as well as the uncertainty in the spatial predictions. Further, the model-based approach facilitates scenario testing. Although similar methods are already adopted in species distribution modeling, the flexibility of the model framework used is rarely exploited to go beyond modeling occupancy or suitability for a single species, into modeling complex derived metrics such as community composition and indicators of natural capital. As an example, we assess the potential benefits of the statistical model-based approach to mapping natural capital through the use of two national survey datasets; The Centre for Ecology and Hydrology (CEH) Land Cover Map (LCM) and the British Geological Survey’s (BGS) Parent Material Model (PMM), to predict national soil microbial community distributions based on data from a sample of > 1000 soils covering Great Britain. The results are mapped and compared against a more traditional, land classification-based approach. The comparison shows that, although the maps look broadly similar, the model-based approach provides better overall spatial prediction, and the contribution of individual model terms (along with their uncertainty) are far easier to understand and interpret, whilst also facilitating any scenario testing. We therefore both recommend the use of spatial statistical modelling techniques to map natural capital and anticipate that they will become more prominent over the forthcoming years