Damage assessment by Acoustic Emission (AE) during landing gear fatigue testing

EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Non-Violent Drug Offences: Are There Alternatives to Imprisonment?

No one wants to be sent to jail but laws and punishment for violation of laws are part of every society. Unfortunately, USA is the leader in percent of population imprisoned. Based on current projections, by 2011 the U.S. prison population will increase by 13 percent, which is triple the growth of the entire population as a whole, to more than 1.7 million. Supporting that increase in incarcerated people will cost American taxpayers and local/state budgets an estimated $27.5 billion. This results in an enormous burden on society. Our research attempts to evaluate what effects this prison overcrowding has on Idaho\u27s economy through cost analysis and comparison along with a look at true effectiveness of punishment methods based on recidivism rates. We focus on the non-violent drug offender population and offer an alternative to imprisonment

Generating Layered Enterprise Architectures with Conceptual Structures

Enterprise Architecture (EA) uses metamodels to document and align organisations’ business, information, and technology domains. This structure then enables these domains to work in harmony. Layered Enterprise Architecture Development (LEAD) builds upon EA by introducing layered metaobjects connected by semantic relations that make up LEAD’s layered metamodel. Previously, an algorithm was developed to elicit active semantic relations to achieve a view highlighting the metaobject dependencies. Subsequently, CG-FCA (Conceptual Graph and Formal Concept Analysis) and a LEAD case study were used to develop an enhanced algorithm that also generates the LEAD layers. The resulting layered FCA lattice shows a way to discover the hitherto hidden insights in LEAD, including the relationship between business and information technology

ImaYDiT - Imagining young disabled people's transitions in a time of major societal change: Research project report

ImaYDiT was funded by DRILL – Disability Research for Independent Living and Learning. This is supported by the Big Lottery Fund. WiltsCIL staff, members of WiltsCIL CoproductionGroup and researchers at UWE came up with the original idea for this project. We wanted to support young disabled people to explore and re-imagine their adult lives and have the best future. This involved taking an ‘assets-based’ approach. This is where we focus on what people can do- rather than what they can’t do – which is a ‘deficit approach’. We also thought that there is not enough research about the whole of young disabled people’s lives. Instead a lot of research only concentrates on transitions through the benefits and service system.Wiltshire Social Services and the Wiltshire Parent Council helped steer the project because, where we could, we also wanted to put young disabled people’s hopes and dreams into action.We want to understand how this group of young disabled people can be supported to become the next generation who are aware of their rights, with ambitions for their futures and able to establish meaningful and independent adult lives

Testing Disk-Locking in NGC 2264

We test analytic predictions from different models of magnetospheric accretion, which invoke disk-locking, using stellar and accretion parameters derived from models of low resolution optical spectra of 36 T Tauri stars (TTSs) in NGC 2264 (age~3 Myrs). Little evidence is found for models that assume purely dipolar field geometries; however, strong support is found in the data for a modified version of the X-wind model (Shu et al. 1994) which allows for non-dipolar field geometries. The trapped flux concept in the X-wind model is key to making the analytic predictions which appear supported in the data. By extension, our analysis provides support for the outflows predicted by the X-wind as these also originate in the trapped flux region. In addition, we find no support in the data for accretion powered stellar winds from young stars. By comparing the analysis presented here of NGC 2264 with a similar analysis of stars in Taurus (age~1-2 Myr), we find evidence that the equilibrium interaction between the magnetic field and accretion disk in TTS systems evolves as the stars grow older, perhaps as the result of evolution of the stellar magnetic field geometry. We compare the accretion rates we derive with accretion rates based on U-band excess, finding good agreement. In addition, we use our accretion parameters to determine the relationship between accretion and H-beta luminosity, again finding good agreement with previously published results; however, we also find that care must be used when applying this relationship due to strong chromospheric emission in young stars which can lead to erroneous results in some cases.Comment: 66 pages, 15 figures, 13 table

Tacit collusion, firm asymmetries and numbers:evidence from EC merger cases

The purpose of this paper is to identify empirically the implicit structural model, especially the roles of size asymmetries and concentration, used by the European Commission to identify mergers with coordinated effects (i.e. collective dominance). Apart from its obvious policy-relevance, the paper is designed to shed empirical light on the conditions under which tacit collusion is most likely. We construct a database relating to 62 candidate mergers and find that, in the eyes of the Commission, tacit collusion in this context virtually never involves more than two firms and requires close symmetry in the market shares of the two firms

I just want to count them! Considerations when choosing a deer population monitoring method

Effective management of any population involves decisions based on the levels of abundance at particular points in time. Hence the choice of an appropriate method to estimate abundance is critical. Deer are not native to Australia and are a declared pest in some states where their numbers must be controlled in environmentally sensitive areas. The aim of this research was to help Australian land managers choose between widely used methods to count deer. We compared population estimates or indices from: distance sampling, aerial surveys, spotlight counts, and faecal pellet counts. For each we estimated the labour input, cost, and precision. The coefficient of variation varied with method and time of year from 8.7 to 36.6%. Total labour input per sampling event varied from 11 to 136 h. Total costs of vehicles and equipment per sampling event varied from AU$913 to$2966. Overall, the spotlight method performed the best at our study site when comparing labour input, total cost and precision. However, choice of the most precise, cost effective method will be site specific and rely on information collected from a pilot study. We provide recommendations to help land managers choose between possible methods in various circumstances

Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States

Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United States have served as a visible and important communication channel between the scientific modeling community and both the general public and decision-makers. Forecasting models provide specific, quantitative, and evaluable predictions that inform short-term decisions such as healthcare staffing needs, school closures, and allocation of medical supplies. Starting in April 2020, the US COVID-19 Forecast Hub (https://covid19forecasthub.org/) collected, disseminated, and synthesized tens of millions of specific predictions from more than 90 different academic, industry, and independent research groups. A multimodel ensemble forecast that combined predictions from dozens of groups every week provided the most consistently accurate probabilistic forecasts of incident deaths due to COVID-19 at the state and national level from April 2020 through October 2021. The performance of 27 individual models that submitted complete forecasts of COVID-19 deaths consistently throughout this year showed high variability in forecast skill across time, geospatial units, and forecast horizons. Two-thirds of the models evaluated showed better accuracy than a naïve baseline model. Forecast accuracy degraded as models made predictions further into the future, with probabilistic error at a 20-wk horizon three to five times larger than when predicting at a 1-wk horizon. This project underscores the role that collaboration and active coordination between governmental public-health agencies, academic modeling teams, and industry partners can play in developing modern modeling capabilities to support local, state, and federal response to outbreaks

The United States COVID-19 Forecast Hub dataset

Academic researchers, government agencies, industry groups, and individuals have produced forecasts at an unprecedented scale during the COVID-19 pandemic. To leverage these forecasts, the United States Centers for Disease Control and Prevention (CDC) partnered with an academic research lab at the University of Massachusetts Amherst to create the US COVID-19 Forecast Hub. Launched in April 2020, the Forecast Hub is a dataset with point and probabilistic forecasts of incident cases, incident hospitalizations, incident deaths, and cumulative deaths due to COVID-19 at county, state, and national, levels in the United States. Included forecasts represent a variety of modeling approaches, data sources, and assumptions regarding the spread of COVID-19. The goal of this dataset is to establish a standardized and comparable set of short-term forecasts from modeling teams. These data can be used to develop ensemble models, communicate forecasts to the public, create visualizations, compare models, and inform policies regarding COVID-19 mitigation. These open-source data are available via download from GitHub, through an online API, and through R packages