The Long-term Effects of Cannabis on Attention to Motion
R McCaig - 2023 - scholars.wlu.ca
The purpose of the following study was to investigate the long-term effects of cannabis use
on attention to motion. Methods: Cannabis users, who varied in age of onset of use, were …
on attention to motion. Methods: Cannabis users, who varied in age of onset of use, were …
Young Researchers' Brain Health Research Day Joint ConferenceEffect of prior treatment history and sex on antidepressant response to subanesthetic ketamine …
…, H Ding, T Charlton, C Groulx, K Connor, R McCaig… - 2019 - jpn.ca
Background Only 35% of patients with major depressive disorder remit after first-line
treatment on medications with antidepressant properties. Furthermore, sex differences in …
treatment on medications with antidepressant properties. Furthermore, sex differences in …
Process algebra models of population dynamics
C McCaig, R Norman, C Shankland - International Conference on …, 2008 - Springer
It is well understood that populations cannot grow without bound and that it is competition
between individuals for resources which restricts growth. Despite centuries of interest, the …
between individuals for resources which restricts growth. Despite centuries of interest, the …
From individuals to populations: A mean field semantics for process algebra
C McCaig, R Norman, C Shankland - Theoretical Computer Science, 2011 - Elsevier
… The current paper is based on the thesis of McCaig [19] and the related technical report [22]. …
The example comes from McCaig’s thesis [19] and is based on the same assumptions as …
The example comes from McCaig’s thesis [19] and is based on the same assumptions as …
From individuals to populations: A symbolic process algebra approach to epidemiology
C McCaig, R Norman, C Shankland - Mathematics in Computer Science, 2009 - Springer
Is it possible to symbolically express and analyse an individual-based model of disease
spread, including realistic population dynamics? This problem is addressed through the use of …
spread, including realistic population dynamics? This problem is addressed through the use of …
A rigorous approach to investigating common assumptions about disease transmission: Process algebra as an emerging modelling methodology for epidemiology
Changing scale, for example, the ability to move seamlessly from an individual-based model
to a population-based model, is an important problem in many fields. In this paper, we …
to a population-based model, is an important problem in many fields. In this paper, we …
Deriving mean field equations from large process algebra models
C McCaig, R Norman, C Shankland - 2008 - storre.stir.ac.uk
In many domain areas the behaviour of a system can be described at two levels: the behaviour
of individual components, and the behaviour of the system as a whole. Often deriving one …
of individual components, and the behaviour of the system as a whole. Often deriving one …
Improved continuous approximation of PEPA models through epidemiological examples
S Benkirane, J Hillston, C McCaig, R Norman… - Electronic Notes in …, 2009 - Elsevier
We present two individual based models of disease systems using PEPA (Performance
Evaluation Process Algebra). The models explore contrasting mechanisms of disease …
Evaluation Process Algebra). The models explore contrasting mechanisms of disease …
A symbolic investigation of superspreaders
Superspreaders are an important phenomenon in the spread of infectious disease,
accounting for a higher than average number of new infections in the population. We use …
accounting for a higher than average number of new infections in the population. We use …
[PDF][PDF] Modelling the bubonic plague in a prairie dog burrow, a work in progress
S Benkirane, C Shankland, R Norman, C McCaig - PASTA 2009, 2009 - Citeseer
Plague is caused by a bacteria known as Yersinia pestis, and is affecting over 200 mammalian
species worldwide [6], including human. It is famous for being the Black Death, who killed …
species worldwide [6], including human. It is famous for being the Black Death, who killed …