Oscillatory regulation of Hes1: discrete stochastic delay modelling and simulation

Discrete stochastic simulations are a powerful tool for understanding the dynamics of chemical kinetics when there are small-to-moderate numbers of certain molecular species. In this paper we introduce delays into the stochastic simulation algorithm, thus mimicking delays associated with transcription and translation. We then show that this process may well explain more faithfully than continuous deterministic models the observed sustained oscillations in expression levels of hes1 mRNA and Hes1 protein

A model of power-biased technological change

New technologies have allowed firms to monitor low-skill workers more closely, thus reducing the power of these workers. We show that this ‘power-biased’ change may generate rising wage inequality and increases in the work intensity and unemployment of low-skill workers

Remote sensing in shallow lake ecology

Shallow lakes are an important ecological and socio-economic resource. However, the impact of human pressures, both at the lake and catchment scale, has precipitated a decline in the ecological status of many shallow lakes, both in the UK, and throughout Europe. There is now, as direct consequence, unprecedented interest in the assessment and monitoring of ecological status and trajectory in shallow lakes, not least in response to the European Union Water Framework Directive (2000/60/EC). In this context, the spatially-resolving and panoramic data provided by remote sensing platforms may be of immense value in the construction of effective and efficient strategies for the assessment and monitoring of ecological status in shallow lakes and, moreover, in providing new, spatially-explicit, insights into the function of these ecosystems and how they respond to change. This thesis examined the use of remote sensing data for the assessment of (i) phytoplankton abundance and species composition and (ii) aquatic vegetation distribution and ecophysiological status in shallow lakes with a view to establishing the credence of such an approach and its value in limnological research and monitoring activities. High resolution in-situ and airborne remote sensing data was collected during a 2-year sampling campaign in the shallow lakes of the Norfolk Broads. It was demonstrated that semi-empirical algorithms could be formulated and used to provide accurate and robust estimations of the concentration of chlorophyll-a, even in these optically-complex waters. It was further shown that it was possible to differentiate and quantify the abundance of cyanobacteria using the biomarker pigment C-phycocyanin. The subsequent calibration of the imagery obtained from the airborne reconnaissance missions permitted the construction of diurnal and seasonal regional-scale time-series of phytoplankton dynamics in the Norfolk Broads. This approach was able to deliver unique spatial insights into the migratory behaviour of a potentially-toxic cyanobacterial bloom. It was further shown that remote sensing can be used to map the distribution of aquatic plants in shallow lakes, importantly including the extent of submerged vegetation, which is central to the assessment of ecological status. This research theme was subsequently extended in an exploration of the use of remote sensing for assessing the ecophysiological response of wetland plants to nutrient enrichment. It was shown that remote sensing metrics could be constructed for the quantification of plant vigour. The extrapolation of these techniques enabled spatial heterogeneity in the ecophysiological response of Phragmites australis to lake nutrient enrichment to be characterised and assisted the formulation of a mechanistic explanation for the variation in reedswamp performance in these shallow lakes. It is therefore argued that the spatially synoptic data provided by remote sensing has much to offer the assessment, monitoring and policing of ecological status in shallow lakes and, in particular, for facilitating the development of pan-European scale lake surveillance capabilities for the Water Framework Directive (2000/60/EC). It is also suggested that remote sensing can make a valuable contribution to furthering ecological understanding and, most significantly, in enabling ecosystem processes and functions to be examined at the lake-scale

A critical analysis of current housing and accommodation practices in the gold mining industry : the case of JCI

Bibliography: pages 120-128.This study outlines and discusses recent changes in employer housing practices in the South African gold mining industry. Beginning in the 1970s, but more particularly in the 1980s, a number of factors compelled employers to introduce alternatives to the system of hostel accommodation. South African migrant workers now have access to a broader range of housing options including home ownership schemes and off-mine rental schemes. These initiatives are critically examined and their implications for workers and the migrant labour system are assessed. A general overview of the housing policies of the six major mining groups is provided, with a more detailed focus on the labour practices of Johannesburg Consolidated Investment Company Limited. At present, participation rates in management devised accommodation schemes remain low. It appears that existing schemes do not fully meet the needs and preferences of migrant workers. Affordability and migrant attitudes towards permanent relocation to the urban areas are two important considerations in this regard. A number of other obstacles to the implementation of a flexible housing model for the African workforce are identified. A central conclusion of this study is that progress towards a locally housed industry workforce will continue to be slow. The migrant labour system will undergo further transformation, but will continue as the central form of labour supply to the mines

Structural fingerprints of transcription factor binding site regions

Fourier transforms are a powerful tool in the prediction of DNA sequence properties, such as the presence/absence of codons. We have previously compiled a database of the structural properties of all 32,896 unique DNA octamers. In this work we apply Fourier techniques to the analysis of the structural properties of human chromosomes 21 and 22 and also to three sets of transcription factor binding sites within these chromosomes. We find that, for a given structural property, the structural property power spectra of chromosomes 21 and 22 are strikingly similar. We find common peaks in their power spectra for both Sp1 and p53 transcription factor binding sites. We use the power spectra as a structural fingerprint and perform similarity searching in order to find transcription factor binding site regions. This approach provides a new strategy for searching the genome data for information. Although it is difficult to understand the relationship between specific functional properties and the set of structural parameters in our database, our structural fingerprints nevertheless provide a useful tool for searching for function information in sequence data. The power spectrum fingerprints provide a simple, fast method for comparing a set of functional sequences, in this case transcription factor binding site regions, with the sequences of whole chromosomes. On its own, the power spectrum fingerprint does not find all transcription factor binding sites in a chromosome, but the results presented here show that in combination with other approaches, this technique will improve the chances of identifying functional sequences hidden in genomic data

Dynamics of the digital divide

The digital divide between Indigenous and other Australians describes the unequal access to information and communications technology (ICT) between these groups. Historically, researchers have focused on acquiring new technology, but we argue that it is important to understand all the dynamics of digital usage, including the loss of access to ICT within a household. For long-lived technology such as internet access, it is particularly important to acknowledge that retention of access to the technology needs to be considered. This paper builds on earlier work by exploring the rates of diffusion of ICT for Indigenous Australians using data from the Australian Census Longitudinal Dataset 2006-2011. This dataset allows a longitudinal analysis of changes in internet usage and apparent flows into and out of internet usage for Indigenous and non-Indigenous Australian households. This paper identifies and analyses the important observation that retention of internet access is almost as difficult as acquiring internet access for many Indigenous households (especially in remote areas). While earlier work analyses the digital divide in terms of 'diffusion' or adoption of ICT, this paper shows that retention of internet access is equally important in driving the digital divide. This observation could reflect 'antidiffusion' processes: factors that drive the loss of access to ICT over time. The dynamics of the digital divide have important and ongoing implications for the digital divide and addressing broader socioeconomic disadvantages experienced by Indigenous Australians. Antidiffusion is largely a phenomenon observed among Indigenous people. By analysing loss of access to ICT among both Indigenous and other Australians, we identify several factors that are associated with diffusion and antidiffusion of technology (e.g. household resources, employment, education, the age composition of households). The paper concludes with a discussion of an agenda for future research and potential implications for current policy settings

Recruitment and Retention Insights for the Hotel Industry

Recruiting talented managerial employees for the hotel industry is a constant challenge. Identifying and training supervisors and junior level managers for senior positions seems to be one solution. The authors explore the career influences confronting these individuals and make recommendations for recruitment and retention

Gas micro-well track imaging detectors for gamma-ray astronomy

We describe our program to develop gas micro-well detectors (MWDs) as three-dimensional charged particle trackers for use in advanced gamma-ray telescope concepts. A micro-well detector consists of an array of individual micro-patterned gas proportional counters opposite a planar drift electrode. The well anodes and cathodes may be connected in X and Y strips, respectively, to provide two-dimensional imaging. When combined with transient digitizer electronics, which record the time signature of the charge collected in the wells of each strip, full three-dimensional reconstruction of charged-particle tracks in large gas volumes is possible. Such detectors hold great promise for advanced Compton telescope (ACT) and advanced pair telescope (APT) concepts due to the very precise measurement of charged particle momenta that is possible (Compton recoil electrons and electron-positron pairs, respectively). We present preliminary lab results, including detector fabrication, prototype electronics, and initial detector testing. We also discuss applications to the ACT and APT mission concepts, based on GEANT3 and GEANT4 simulations

Modeling of Oxygen Transport and Cellular Energetics Explains Observations on In Vivo Cardiac Energy Metabolism

Observations on the relationship between cardiac work rate and the levels of energy metabolites adenosine triphosphate (ATP), adenosine diphosphate (ADP), and phosphocreatine (CrP) have not been satisfactorily explained by theoretical models of cardiac energy metabolism. Specifically, the in vivo stability of ATP, ADP, and CrP levels in response to changes in work and respiratory rate has eluded explanation. Here a previously developed model of mitochondrial oxidative phosphorylation, which was developed based on data obtained from isolated cardiac mitochondria, is integrated with a spatially distributed model of oxygen transport in the myocardium to analyze data obtained from several laboratories over the past two decades. The model includes the components of the respiratory chain, the F(0)F(1)-ATPase, adenine nucleotide translocase, and the mitochondrial phosphate transporter at the mitochondrial level; adenylate kinase, creatine kinase, and ATP consumption in the cytoplasm; and oxygen transport between capillaries, interstitial fluid, and cardiomyocytes. The integrated model is able to reproduce experimental observations on ATP, ADP, CrP, and inorganic phosphate levels in canine hearts over a range of workload and during coronary hypoperfusion and predicts that cytoplasmic inorganic phosphate level is a key regulator of the rate of mitochondrial respiration at workloads for which the rate of cardiac oxygen consumption is less than or equal to approximately 12 μmol per minute per gram of tissue. At work rates corresponding to oxygen consumption higher than 12 μmol min(−1) g(−1), model predictions deviate from the experimental data, indicating that at high work rates, additional regulatory mechanisms that are not currently incorporated into the model may be important. Nevertheless, the integrated model explains metabolite levels observed at low to moderate workloads and the changes in metabolite levels and tissue oxygenation observed during graded hypoperfusion. These findings suggest that the observed stability of energy metabolites emerges as a property of a properly constructed model of cardiac substrate transport and mitochondrial metabolism. In addition, the validated model provides quantitative predictions of changes in phosphate metabolites during cardiac ischemia