Biomathematics and Statistics Scotland (BioSS): Recent submissions
Now showing items 1-20 of 121
-
Immunological homeostasis at the ovine placenta may reflect the degree of maternal fetal interaction
(Frontiers, 2019-01-09)Successful mammalian pregnancies are a result of complex physiological, endocrinological, and immunological processes that combine to create an environment where the mother is tolerant to the semi-allogeneic fetus. Our ... -
Twenty years and counting with SADIE: Spatial Analysis by Distance Indices software and review of its adoption and use
(Pensoft, 2019-01-21)In this short paper we outline the use of SADIE (Spatial Analysis by Distance Indices), a technique to spatially quantify patterns in spatially-referenced count-based data. We also provide free access to the SADIE software ... -
Large-scale risk screening of raw water quality in the context of drinking water catchments and integrated response strategies
(Elsevier, 2019-07-01)Water resources provide multiple services, one of the most important being the provision of drinking water, conventionally treated before public consumption as potable supplies. With increasing pressures through from land ... -
Cultivar differences and impact of plant-plant competition on temporal patterns of nitrogen and biomass accumulation
(2019-02-25)<p>Current niche models cannot explain multi-species plant coexistence in complex ecosystems. One overlooked explanatory factor is within-growing season temporal dynamism of resource capture by plants. However, the timing ... -
Considering appropriate replication in the design of animal social network studies
(Springer Nature, 2019-05-10)Social network analysis has increasingly been considered a useful tool to interpret the complexity of animal social relationships. However, group composition can affect the contact structure of the network resulting in ... -
Analysis of Spatiotemporal Properties of Stochastic Systems Using TSTL
(ACM - Association for Computing Machinery, 2019-12-01)In this article, we present Three-Valued Spatiotemporal Logic (TSTL), which enriches the available spatiotemporal analysis of properties expressed in Signal Spatiotemporal Logic (SSTL), to give further insight into the ... -
Rhynchosporium leaf scald disease incidence: seed source and spatial pattern
(Wiley, 2019-08-01) -
Modelling covariance matrices by the trigonometric separation strategy with application to hidden Markov models
(2019-06-03)Bayesian inference on the covariance matrix is usually performed after placing an Inverse-Wishart or a multivariate Jeffreys as a prior density, but both of them, for different reasons, present some drawbacks. As an ... -
A Bayesian hierarchical model of postlarval delta smelt entrainment: integrating transport, length composition, and sampling efficiency in estimates of loss
(Canadian Science Publishing, 2019-05-31)Hydrodynamic models have been used to estimate rates of ichthyoplankton transport across marine and estuarine environments and subsequent geographic isolation of a portion of the population, i.e., entrainment. Combining ... -
Duration of protection and humoral immunity induced by an adenovirus- vectored foot-and-mouth disease virus serotype A24 subunit vaccine in Holstein steers
(Elsevier, 2019-09-05)The importance of an efficacious, long acting foot-and-mouth disease (FMD) vaccine is critical to control FMD. The human replication deficient adenovirus 5 (Ad5) empty capsid FMD virus (FMDV) platform (AdtFMD), is a promising ... -
Assessment of a large number of empirical plant species niche models by elicitation of knowledge from two national experts
(Wiley, 2019-10-25)Quantitative models play an increasing role in exploring the impact of global change on biodiversity but to win credibility and trust they need validating. We show how expert knowledge can be used to evaluate a large number ... -
Is high aerobic workload at work associated with leisure time physical activity and sedentary behaviour among blue-collar workers? A compositional data analysis based on accelerometer data
(PLoS, 2019-06-06)Background Physically demanding tasks within blue-collar jobs can impose high aerobic workloads on the work-ers, particularly among workers with low cardiorespiratory fitness. Accordingly, blue-collar workers could benefit ... -
Mineral element composition of cabbage as affected by soil type and phosphorus and zinc fertilisation
(2019-01-15)Background and aims The effects of phosphorus and zinc applications on phosphorus and zinc concentrations in plants grown in different soil types have rarely been investigated. The aim of this study was to evaluate the ... -
An agent-based model to simulate meat consumption behaviour of consumers in Britain
(2019-10-30)Background. The current rate of production and consumption of meat poses a problem both to peoples' health and to the environment. This work aims to develop a simulation of peoples' meat consumption behaviour in Britain ... -
Healthy and sustainable diets that meet GHGE reduction targets and are affordable for different income groups in the UK.
(2019-06-07)Major change is required to shift the population to diets that meet dietary recommendations for health and have lower greenhouse gas emissions (GHGE). These changes may have implications for the cost of the diet and therefore ... -
Myocardial and Systemic Inflammation in Acute Stress-Induced (Takotsubo) Cardiomyopathy
(2019-03-26)Background: Acute stress induced (takotsubo) cardiomyopathy can result in a heart failure phenotype with a prognosis comparable to myocardial infarction. In this study, we hypothesized that inflammation is central to the ... -
Improved models of the effects of winter chilling on blackcurrant (Ribes nigrum L.) show cultivar specific sensitivity to warm winters
(Elsevier, 2019-10-12)Controlled temperature experiments were used to calibrate 3 proposed models of chilling accumulation requirements for a number of commercial blackcurrant cultivars. The first model assumed a linear relationship between bud ... -
Posterior-based proposals for speeding up Markov chain Monte Carlo
(Royal Society Publshing, 2019-11-20)Markov chain Monte Carlo (MCMC) is widely used for Bayesian inference in models of complex systems. Performance, however, is often unsatisfactory in models with many latent variables due to so-called poor mixing, necessitating ...