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The focus of this study was the empirical modelling of the high-speed bearings life and failure modes of a through-flow universal motor. An approach was used facilitating predictions of the life through-range of various conditions. The model estimates bearing life for the survival probability of 50% – L50. It influences parameters such as bearing temperature, speed factor, equivalent load, grease
Purpose: Monte Carlo (MC) modelling techniques can assess the quantitative accuracy of both planar and SPECT Nuclear Medicine images. It is essential to validate the MC code's capabilities in modelling a specific clinical gamma camera, for radionuclides of interest, before its use as a clinical image simulator. This study aimed to determine if the SIMIND MC code accurately simulates emission image
Our aesthetic response to the Universe, and the complexity of concepts through which we understand it, are inherently bound together in how we meaningfully interpret its nature. Over millennia the abstracted and intangible concepts of science have been developed and communicated through a rich array of representations across a variety of modes. The interpretation of such representations is a compl
The various problems associated with co-authorship of research articles have attracted much attention in recent years. We believe that this (hopefully) growing awareness is a very welcome development. However, we will argue that the particular and increasing importance of authorship and the harmful implications of current practices of research authorship for junior researchers have not been emphas
While an extensive part of the conflict transformation literature stresses the importance of transforming the identities of conflict parties through recognition, it fails to recognise the propensity of such transformations to generate ontological insecurity and dissonance, and consequently a possible backlash towards antagonistic identities. Drawing on agonistic thought, we develop a conception of
Whether and how long-term energy and climate targets can be reached depend on a range of interlinked factors: technology, economy, environment, policy, and society at large. Integrated assessment models of climate change or energy-system models have limited representations of societal transformations, such as behavior of various actors, transformation dynamics in time, and heterogeneity across and
The European Commission describes a Circular Economy (CE) as an economy “where the value of products,materials and resources is maintained in the economy for as long as possible, and the generation of waste minimised.”But what is value in this context and how should CE policies consider value? Extended producer responsibility(EPR) policies are an important part of an EU CE Action Plan. However, th
The target of zero emissions sets a new standard for industry and industrial policy. Industrial policy in the twenty-first century must aim to achieve zero emissions in the energy and emissions intensive industries. Sectors such as steel, cement, and chemicals have so far largely been sheltered from the effects of climate policy. A major shift is needed, from contemporary industrial policy that ma
A novel and effective approach for determining mechanics and residual stress when turning a component with curved surfaces is presented in this paper. This predictive approach is based on a three-dimensional analytical model to study the distributed mechanics and residual stress caused by vary cutting condition during the machining process. The variation of uncut chip area in this process can be d
The bone tissue formed at the contact interface with metallic implants, particularly its 3D microstructure, plays a pivotal role for the structural integrity of implant fixation. X-ray tomography is the classical imaging technique used for accessing microstructural information from bone tissue. However, neutron tomography has shown promise for visualising the immediate bone-metal implant interface
Microscopic diffusion anisotropy imaging using diffusion-weighted MRI and multidimensional diffusion encoding is a promising method for quantifying clinically and scientifically relevant microstructural properties of neural tissue. Several methods for estimating microscopic fractional anisotropy (µFA), a normalized measure of microscopic diffusion anisotropy, have been introduced but the differenc
Artificial Intelligence (AI) is increasingly used in critical applications. Thus, the need for dependable AI systems is rapidly growing. In 2018, the European Commission appointed experts to a High-Level Expert Group on AI (AI-HLEG). AI- HLEG defined Trustworthy AI as 1) lawful, 2) ethical, and 3) robust and specified seven corresponding key requirements. To help development organizations, AI-HLEG
CONTEXT: The natural course of HIV disease progression among resource-poor patient populations has not been clearly defined.OBJECTIVE: To describe predictors of HIV disease progression as seen at an outpatient clinic in a resource-limited setting in rural Ethiopia.DESIGN: This prospective cohort study included all adult HIV patients who visited an outpatient clinic at Arba Minch hospital in South
Knowledge, when used effectively, is a major input for development. However, the processes associated with knowledge production, knowledge transfer, and knowledge use are complex and not easy to facilitate in certain parts of the world. This is mainly due to a lack of or limited interactions between knowledge producers and knowledge users. This thesis aims to explore how efforts to foster knowledg
A search for charged leptons with large impact parameters using 139 fb-1 of s=13 TeV pp collision data from the ATLAS detector at the LHC is presented, addressing a long-standing gap in coverage of possible new physics signatures. Results are consistent with the background prediction. This search provides unique sensitivity to long-lived scalar supersymmetric lepton partners (sleptons). For lifeti
The stringent response is a central adaptation mechanism that allows bacteria to adjust their growth and metabolism according to environmental conditions. The functionality of the stringent response is crucial for bacterial virulence, survival during host invasion as well as antibiotic resistance and tolerance. Therefore, specific inhibitors of the stringent response hold great promise as molecula
