Zobrazeno 1 - 10
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pro vyhledávání: '"Darragh AS"'
Metal oxide thin films are of great interest in scientific advancement, particularly semiconductor thin films in transistors and in a wide range of optoelectronic applications. Many metal oxide thin films attract interest for their electronic bandgap
Externí odkaz:
http://arxiv.org/abs/2411.13304
Autor:
Wang, Yunchong, Mansfield, Philip, Nadler, Ethan O., Darragh-Ford, Elise, Wechsler, Risa H., Yang, Daneng, Yu, Hai-Bo
We investigate the impact of galactic disks on the tidal stripping of cold dark matter subhalos within Milky Way (MW)-mass halos ($M_{\rm vir}\sim 10^{12}\mathrm{M_{\odot}}$) using a new simulation suite, EDEN. By re-simulating 45 MW-mass zoom-in hal
Externí odkaz:
http://arxiv.org/abs/2408.01487
Publikováno v:
ApJ, 969:58, 2024
The X-ray morphologies of clusters of galaxies display significant variations, reflecting their dynamical histories and the nonlinear dependence of X-ray emissivity on the density of the intracluster gas. Qualitative and quantitative assessments of X
Externí odkaz:
http://arxiv.org/abs/2406.10456
Autor:
Aderinola, Timilehin B., Younesian, Hananeh, Goulding, Cathy, Whelan, Darragh, Caulfield, Brian, Ifrim, Georgiana
$\textbf{Goal:}$ This study investigates the feasibility of monocular 2D markerless motion capture (MMC) using a single smartphone to measure jump height, velocity, flight time, contact time, and range of motion (ROM) during motor tasks. $\textbf{Met
Externí odkaz:
http://arxiv.org/abs/2312.11340
Autor:
Mojca Maticic, J. Cernosa, C. Loboda, J. Tamse, R. Rigoni, E. Duffell, I. Indave, R. Zimmermann, L. Darragh, J. Moura, A. Leicht, T. Windelinckx, M. Jauffret-Roustide, K. Schiffer, T. Tammi
Publikováno v:
Harm Reduction Journal, Vol 21, Iss 1, Pp 1-18 (2024)
Abstract Background With the advent of direct acting antivirals (DAAs) the World Health Organisation (WHO) adopted global strategy to eliminate hepatitis C virus (HCV) infection by 2030. In Europe, people who inject drugs (PWID) account for the major
Externí odkaz:
https://doaj.org/article/2d9b7334dabe478397069fae94694153
Autor:
David A. Rettinger, Holly Tatum, Andrew H. Perry, Courtney Cullen, Jason M. Stephens, Tricia Bertram Gallant, Darragh McNally, Melissa L. McTernan, Eric M. Anderman
Publikováno v:
International Journal for Educational Integrity, Vol 20, Iss 1, Pp 1-18 (2024)
Abstract Academic misconduct remains a perennial concern in tertiary education around the globe. Research intended to explain this phenomenon has been conducted for almost 100 years. One of the most cited researchers is Donald McCabe, whose work was
Externí odkaz:
https://doaj.org/article/c1e23682657c4ce886b20b1380b77f5b
Autor:
Nadler, Ethan O., Darragh-Ford, Elise, Desikan, Bhargav Srinivasa, Conaway, Christian, Chu, Mark, Hull, Tasker, Guilbeault, Douglas
Deep neural networks (DNNs) are increasingly proposed as models of human vision, bolstered by their impressive performance on image classification and object recognition tasks. Yet, the extent to which DNNs capture fundamental aspects of human vision
Externí odkaz:
http://arxiv.org/abs/2309.05809
A major question in $\Lambda$CDM is what this theory actually predicts for the properties of subhalo populations. Subhalos are difficult to simulate and to find within simulations, and this propagates into uncertainty in theoretical predictions for s
Externí odkaz:
http://arxiv.org/abs/2308.10926
Hubble tension is a problem in one-dimensional (1D) posteriors, since local $H_0$ determinations are only sensitive to a single parameter. Projected 1D posteriors for $\Lambda$CDM cosmological parameters become more non-Gaussian with increasing effec
Externí odkaz:
http://arxiv.org/abs/2307.16349
Autor:
Singh, Ashish, Bevilacqua, Antonio, Aderinola, Timilehin B., Nguyen, Thach Le, Whelan, Darragh, O'Reilly, Martin, Caulfield, Brian, Ifrim, Georgiana
Wearable sensors such as Inertial Measurement Units (IMUs) are often used to assess the performance of human exercise. Common approaches use handcrafted features based on domain expertise or automatically extracted features using time series analysis
Externí odkaz:
http://arxiv.org/abs/2307.04516