Liturgical Dance: A Dance/Movement Therapy Treatment Modality to Build Resilience

The purpose of this thesis was to promote the understanding of liturgical dance, explore how liturgical dance can be integrated into a dance/movement therapy session, and determine whether elements of liturgical dance can be used in a clinical setting to support resilience, especially with African-American children who are dealing the effects of complex trauma. To further the goal of building resilience for children with complex trauma, a dance/movement therapy intervention was developed using movement themes of liturgical dance to address five developmental domains. Goals focused on developing self-awareness, impulse control, boundaries, problem-solving, and physical health. A discussion of five movement themes of liturgical dance demonstrates how they could be used in a dance/movement therapy session to support these goals

KinFit -- A Kinematic Fitting Package for Hadron Physics Experiments

A kinematic fitting package, KinFit, based on the Lagrange multiplier technique has been implemented for generic hadron physics experiments. It is particularly suitable for experiments where the interaction point is unknown, such as experiments with extended target volumes. The KinFit package includes vertex finding tools and fitting with kinematic constraints, such as mass hypothesis and four-momentum conservation, as well as combinations of these constraints. The new package is distributed as an open source software via GitHub. This paper presents a comprehensive description of the KinFit package and its features, as well as a benchmark study using Monte Carlo simulations of the $pp\rightarrow pK^+\Lambda \rightarrow pK^+p\pi^-$ reaction. The results show that KinFit improves the parameter resolution and provides an excellent basis for event selection

Measuring a rogue? An investigation into an apparent giant wave

An apparent giant wave event having a maximum trough-to-crest height of 21 metres and a maximum zero-upcrossing period of 27 seconds was recorded by a wave buoy at a nearshore location off the southwestern coast of Australia. It appears as a group of waves which are significantly larger both in height and period than the waves preceding and following them. This paper reports a multifaceted analysis into the plausibility of the event. We first examine the statistics of the event in relation to the rest of the record, where we look at quantities such as maximum-to-significant wave height ratios, ordered crest-trough statistics, and average wave profiles. We then investigate the kinematics of the buoy, where we look at the relationship between the horizontal and vertical displacements of the buoy, and also attempt to numerically reconstruct the giant event using Boussinesq and nonlinear shallow water equations. Additional analyses are performed on other sea states where at least one of the buoy's accelerometers reached its maximum limit. Our analysis reveals incompatibilities of the event with known behaviour of real waves, leading us to conclude that it was not a real wave event. Wave events similar to the one reported in our study have been reported elsewhere and have sometimes been accepted as real occurrences. Our methods of forensically analysing the giant wave event should be potentially useful for identifying false rogue wave events in these cases

Balancing people, planet, and profit in urban food waste management

Food waste is a complex problem and critical challenge for the sustainable development of circular economies, with interconnected social, environmental, and economic impacts. Supporting the identification of strategies that best minimise these impacts on people, planet and profit, this paper explores the dynamic impacts of food waste management options on the triple bottom lines of sustainable development in urban circular economies. We present a system dynamics model of the urban agri-food supply chain. This model simulates the fluxes of food and food waste throughout the supply chain, as well as their impacts on economy (i.e., costs and benefits for each sector and the broader economy), society (i.e., food insecurity) and environment (i.e., water, energy, and carbon footprints). Using Bristol city in the United Kingdom as a case-study, we evaluate the impacts of seven food waste management options (i.e., reduction, redistribution, animal feed, anaerobic digestion, composting, incineration, and landfilling). The results show that food waste reduction in consumer sectors (i.e., households and hospitality and food services) and redistribution in supply sectors (i.e., primary production and manufacture) offer the greatest benefits for the environment, society, and economy. For the retail sector, both reduction and redistribution options are highly favourable. Although these options can potentially have some adverse economic effects on the supply side due to a reduction in demand, their considerably high benefits make them high-reward, low-risk options. We thus conclude that food waste reduction and redistribution are the only options with a clear triple-win for people, planet and profit. This paper makes a significant contribution by introducing a robust quantitative model and a novel triple bottom line framework for sustainable food waste management in urban circular economies

A new reference genome assembly for the microcrustacean Daphnia pulex

Comparing genomes of closely related genotypes from populations with distinct demographic histories can help reveal the impact of effective population size on genome evolution. For this purpose, we present a high quality genome assembly of Daphnia pulex (PA42), and compare this with the first sequenced genome of this species (TCO), which was derived from an isolate from a population with >90% reduction in nucleotide diversity. PA42 has numerous similarities to TCO at the gene level, with an average amino acid sequence identity of 98.8 and >60% of orthologous proteins identical. Nonetheless, there is a highly elevated number of genes in the TCO genome annotation, with similar to 7000 excess genes appearing to be false positives. This view is supported by the high GC content, lack of introns, and short length of these suspicious gene annotations. Consistent with the view that reduced effective population size can facilitate the accumulation of slightly deleterious genomic features, we observe more proliferation of transposable elements (TEs) and a higher frequency of gained introns in the TCO genome

Importance of second-order wave generation for focused wave group run-up and overtopping.

Background: Focused wave groups offer a means for coastal engineers to determine extreme run-up and overtopping events.Research purpose: This work examines numerically the importance of second-order accurate laboratory wave generation for New Wave-type focused wave groups generated by a piston-type paddle generator, and interacting with a plane beach and a seawall in a wave basin.Methods: The numerical wave tank is based on the Boussinesq equations for non-breaking waves, and the non-linear shallow water equations for broken waves. During the model validation, good agreement is achieved between the numerical predictions and laboratory measurements of free surface elevation, run-up distances andovertopping volumes for the test cases driven by linear paddle signals. Errors in run-up distance and overtopping volume, arising from linear wave generation, are then assessed numerically by repeating the test cases using second-order accurate paddle signals.Results: Focused wave groups generated using first-order wave-maker theory are found to be substantially contaminated by a preceding long error wave, resulting in erroneously enhanced run-up distances and overtoppingvolumes.Conclusions: Thus, the use of second-order wave-maker theory for wave group run-up and overtopping experiments is instead recommended.</br

ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales

As we enter the exascale computing era, efficiently utilizing power and optimizing the performance of scientific applications under power and energy constraints has become critical and challenging. We propose a low-overhead autotuning framework to autotune performance and energy for various hybrid MPI/OpenMP scientific applications at large scales and to explore the tradeoffs between application runtime and power/energy for energy efficient application execution, then use this framework to autotune four ECP proxy applications -- XSBench, AMG, SWFFT, and SW4lite. Our approach uses Bayesian optimization with a Random Forest surrogate model to effectively search parameter spaces with up to 6 million different configurations on two large-scale production systems, Theta at Argonne National Laboratory and Summit at Oak Ridge National Laboratory. The experimental results show that our autotuning framework at large scales has low overhead and achieves good scalability. Using the proposed autotuning framework to identify the best configurations, we achieve up to 91.59% performance improvement, up to 21.2% energy savings, and up to 37.84% EDP improvement on up to 4,096 nodes

From the paddle to the beach - A Boussinesq shallow water numerical wave tank based on Madsen and Sorensen's equations

This article describes a one-dimensional numerical model of a shallow-water flume with an in-built piston paddle moving boundary wavemaker. The model is based on a set of enhanced Boussinesq equations and the nonlinear shallow water equations. Wave breaking is described approximately, by locally switching to the nonlinear shallow water equations when a critical wave steepness is reached. The moving shoreline is calculated as part of the solution. The piston paddle wavemaker operates on a movable grid, which is Lagrangian on the paddle face and Eulerian away from the paddle. The governing equations are, however, evolved on a fixed mapped grid, and the newly calculated solution is transformed back onto the moving grid via a domain mapping technique. Validation test results are compared against analytical solutions, confirming correct discretisation of the governing equations, wave generation via the numerical paddle, and movement of the wet/dry front. Simulations are presented that reproduce laboratory experiments of wave runup on a plane beach and wave overtopping of a laboratory seawall, involving solitary waves and compact wave groups. In practice, the numerical model is suitable for simulating the propagation of weakly dispersive waves and can additionally model any associated inundation, overtopping or inland flooding within the same simulation

RAPTR-SV: A Hybrid Method for the Detection of Structural Variants

Identification of Structural Variants (SV) in sequence data results in a large number of false positive calls using existing software, which overburdens subsequent validation. Simulations using RAPTR-SV and other, similar algorithms for SV detection revealed that RAPTR-SV had superior sensitivity and precision, as it recovered 66.4% of simulated tandem duplications with a precision of 99.2%. When compared to calls made by Delly and LUMPY on available datasets from the 1000 genomes project, RAPTR-SV showed superior sensitivity for tandem duplications, as it identified two-fold more duplications than Delly, while making approximately 85% fewer duplication predictions. RAPTR-SV is written in Java and uses new features in the collections framework in the latest release of the Java version 8 language specifications. A compiled version of the software, instructions for usage and test results files are available on the GitHub repository page: https://github.com/njdbickhart/RAPTR-SV