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Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.

Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.

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  1. Brunel University Research Archive

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Exploring household waste management behavior through the stimulus-organism-response model See

Waste is one of the most pressing global issues that demands urgent action and innovative solutions, this problem growing and requires increased attention. This study proposed a conceptual framework based on the stimulus-organism-response model, incorporating waste sorting knowledge, awareness, and&#x...

Contributions of having a pet to living well with dementia over time: Longitudinal findings from the IDEAL cohort See

Objectives: Pets may be beneficial for people living with dementia but understanding of longitudinal benefits is limited. This study investigated whether having a pet was associated with differences over time in ‘living well’, cognition, functional ability, depression or loneliness. ...

Characterising phase transition and thermal behaviour of phase change material with nanobubbles: A comparative molecular dynamics study See

Global warming and the rising demand for sustainable energy have intensified interest in efficient thermal energy storage. Phase change materials (PCMs) offer high latent heat storage capacity but have poor thermal performance. By incorporating nanoscale additives, nano-enhanced PCMs can improve ...

Risk-based life-cycle cost–benefit analysis for critical infrastructure: piled bridge abutments under earthquake loading See

Piled bridge abutments, which are essential components of transport infrastructure, are frequently overlooked in life-cycle performance design due to their perception as sources of uncertainty rather than as structural elements contributing to seismic resistance. This design oversight, coupled with li...

Airport infrastructure risk to liquefaction by deploying multi-modal data and remote sensing See

Airports are critical components of transport infrastructure, contributing to regional socioeconomic vitality and serving as key hubs for emergency response during natural disasters. However, their operations are highly vulnerable to geohazards such as earthquake-induced soil liquefaction and associated gr...

Development of novel ciliopathy specific promoter sequences for optimal gene therapy transgene expression in syndromic inherited retinal diseases See

Bardet-Biedl syndrome (BBS) is a syndromic ciliopathy characterised by progressive retinal degeneration, obesity, polydactyly, renal dysfunction, and cognitive impairment. More than 26 genes have been implicated in the BBS disease pathogenesis, many of which encode components of the BBSom...

Elliptic anisotropy measurement of the f<inf>0</inf>(980) hadron in proton-lead collisions and evidence for its quark-antiquark composition See

Despite the f<jats:sub>0</jats:sub>(980) hadron having been discovered half a century ago, the question about its quark content has not been settled: it might be an ordinary quark-antiquark (<jats:inline-formula> <jats:alternatives> <jats:tex-math>$${{\rm{q}}}\overline{{{\rm{q}}}}$$</jats:tex-...

‘No-one wears the Fascist badge anymore’: Blockade, starvation and popular opinion in Wartime Sicily and Sardinia (1940-1943) See

...

Epileptic Seizure Detection Using Hyperdimensional Computing and Binary Naive Bayes Classifier See

Epileptic seizure (ES) detection is critical for improving clinical outcomes in epilepsy management. While intracranial EEG (iEEG) provides high-quality neural recordings, existing detection methods often rely on large amounts of data, involve high computational complexity, or fail to generalize in&#x...

Quantile regression and smoothed empirical likelihood for non-ignorable missing data based on semi-parametric response models See

In the context of quantile regression with non-ignorable missingness in the response variable, we introduce a semi-parametric exponential tilting model that captures the missingness propensity. To address this, we propose three convolution smoothing-based estimators for quantile regression: inverse probabi...

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Author
  • 1025 Bruno, G
  • 1017 Khan, A
  • 1017 Mossolov, V
  • 974 Delaere, C
  • 954 Giammanco, A
  • 952 Brun, H
  • 948 Hrubec, J
  • 944 Lemaitre, V
  • 938 Ghete, VM
  • 936 Rohringer, H
  • . < previous next >
Subject
  • 275 CMS
  • 265 Physics
  • 219 Science & Technology
  • 167 COVID-19
  • 164 Hadron-Hadron scattering (experim...
  • 139 machine learning
  • 129 deep learning
  • 115 artificial intelligence
  • 104 sustainability
  • 101 Physical Sciences
  • . next >
Date issued
  • 29129 2000 - 2026
  • 1232 1900 - 1999
  • 3 1830 - 1899
Library (c) Brunel University. Updated: December 19th,2023

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