Sampling Methods for Exploring Between Subject Variability in Cardiac Electrophysiology Experiments

Between-subject and within-subject variability is ubiquitous in biology and physiology and understanding and dealing with this is one of the biggest challenges in medicine. At the same time it is difficult to investigate this variability by experiments alone. A recent modelling and simulation approach, known as population of models (POM), allows this exploration to take place by building a mathematical model consisting of multiple parameter sets calibrated against experimental data. However, finding such sets within a high-dimensional parameter space of complex electrophysiological models is computationally challenging. By placing the POM approach within a statistical framework, we develop a novel and efficient algorithm based on sequential Monte Carlo (SMC). We compare the SMC approach with Latin hypercube sampling (LHS), a method commonly adopted in the literature for obtaining the POM, in terms of efficiency and output variability in the presence of a drug block through an in-depth investigation via the Beeler-Reuter cardiac electrophysiological model. We show improved efficiency via SMC and that it produces similar responses to LHS when making out-of-sample predictions in the presence of a simulated drug block.

Comparison of sampling sites and detection methods for Haemophilus parasuis

Objective To improve the isolation rate and identification procedures for Haemophilus parasuis from pig tissues. Design Thirteen sampling sites and up to three methods were used to confirm the presence of H. parasuis in pigs after experimental challenge. Procedure Colostrum-deprived, naturally farrowed pigs were challenged intratracheally with H parasuis serovar 12 or 4. Samples taken during necropsy were either inoculated onto culture plates, processed directly for PCR or enriched prior to being processed for PCR. The recovery of H parasuis from different sampling sites and using different sampling methods was compared for each serovar. Results H parasuis was recovered from several sample sites for all serovar 12 challenged pigs, while the trachea was the only positive site for all pigs following serovar 4 challenge. The method of solid medium culture of swabs, and confirmation of the identity of cultured bacteria by PCR, resulted in 38% and 14% more positive results on a site basis for serovars 12 and 4, retrospectively, than direct PCR on the swabs. This difference was significant in the serovar 12 challenge. Conclusion Conventional culture proved to be more effective in detecting H parasuis than direct PCR or PCR on enrichment broths. For subacute (serovar 4) infections, the most successful sites for culture or direct PCR were pleural fluid, peritoneal fibrin and fluid, lung and pericardial fluid. For acute (serovar 12) infections, the best sites were lung, heart blood, affected joints and brain. The methodologies and key sampling sites identified in this study will enable improved isolation of H parasuis and aid the diagnosis of Glässer's disease.

Pole placement in multi-input systems via elementary transformations

This paper is concerned with the development of an algorithm for pole placement in multi-input dynamic systems. The algorithm which uses a series of elementary transformations is believed to be simpler, computationally more efficient and numerically stable when compared with earlier methods. In this paper two methods have been presented.

A Novel Operator-Splitting Technique for One-Dimensional Laminar Premixed Flames

This paper is concerned the calculation of flame structure of one-dimensional laminar premixed flames using the technique of operator-splitting. The technique utilizes an explicit method of solution with one step Euler for chemistry and a novel probabilistic scheme for diffusion. The relationship between diffusion phenomenon and Gauss-Markoff process is exploited to obtain an unconditionally stable explicit difference scheme for diffusion. The method has been applied to (a) a model problem, (b) hydrazine decomposition, (c) a hydrogen-oxygen system with 28 reactions with constant Dρ 2 approximation, and (d) a hydrogen-oxygen system (28 reactions) with trace diffusion approximation. Certain interesting aspects of behaviour of the solution with non-unity Lewis number are brought out in the case of hydrazine flame. The results of computation in the most complex case are shown to compare very favourably with those of Warnatz, both in terms of accuracy of results as well as computational time, thus showing that explicit methods can be effective in flame computations. Also computations using the Gear-Hindmarsh for chemistry and the present approach for diffusion have been carried out and comparison of the two methods is presented.

Development of innovative robust stability enhancement algorithms for distribution systems containing distributed generators

This project was a step forward in improving the voltage profile of traditional low voltage distribution networks with high photovoltaic generation or high peak demand. As a practical and economical solution, the developed methods use a Dynamic Voltage Restorer or DVR, which is a series voltage compensator, for continuous and communication-less power quality enhancement. The placement of DVR in the network is optimised in order to minimise its power rating and cost. In addition, new approaches were developed for grid synchronisation and control of DVR which are integrated with the voltage quality improvement algorithm for stable operation.

Guerrilla Research Tactics: Alternative Research Methods in Urban Environments

This case-study examines innovative experimentation with mobile and cloud-based technologies, utilising “Guerrilla Research Tactics” (GRT), as a means of covertly retrieving data from the urban fabric. Originally triggered by participatory action research (Kindon et al., 2008) and unobtrusive research methods (Kellehear, 1993), the potential for GRT lies in its innate ability to offer researchers an alternative, creative approach to data acquisition, whilst simultaneously allowing them to engage with the public, who are active co-creators of knowledge. Key characteristics are political agenda, the unexpected and the unconventional, which allow for an interactive, unique and thought-provoking experience for both researcher and participant.

A comparison of mark-recapture distance-sampling methods applied to aerial surveys of eastern grey kangaroos

Aerial surveys of kangaroos (Macropus spp.) in Queensland are used to make economically important judgements on the levels of viable commercial harvest. Previous analysis methods for aerial kangaroo surveys have used both mark-recapture methodologies and conventional distance-sampling analyses. Conventional distance sampling has the disadvantage that detection is assumed to be perfect on the transect line, while mark-recapture methods are notoriously sensitive to problems with unmodelled heterogeneity in capture probabilities. We introduce three methodologies for combining together mark-recapture and distance-sampling data, aimed at exploiting the strengths of both methodologies and overcoming the weaknesses. Of these methods, two are based on the assumption of full independence between observers in the mark-recapture component, and this appears to introduce more bias in density estimation than it resolves through allowing uncertain trackline detection. Both of these methods give lower density estimates than conventional distance sampling, indicating a clear failure of the independence assumption. The third method, termed point independence, appears to perform very well, giving credible density estimates and good properties in terms of goodness-of-fit and percentage coefficient of variation. Estimated densities of eastern grey kangaroos range from 21 to 36 individuals km-2, with estimated coefficients of variation between 11% and 14% and estimated trackline detection probabilities primarily between 0.7 and 0.9.

Comparison of nitrogen fertilization methods and rates for subsurface drip irrigated corn in the semi-arid Great Plains

In semi-arid areas such as western Nebraska, interest in subsurface drip irrigation (SDI) for corn is increasing due to restricted irrigation allocations. However, crop response quantification to nitrogen (N) applications with SDI and the environmental benefits of multiple in-season (IS) SDI N applications instead of a single early-season (ES) surface application are lacking. The study was conducted in 2004, 2005, and 2006 at the University of Nebraska-Lincoln West Central Research and Extension Center in North Platte, Nebraska, comparing two N application methods (IS and ES) and three N rates (128, 186, and 278 kg N ha(-1)) using a randomized complete block design with four replications. No grain yield or biomass response was observed in 2004. In 2005 and 2006, corn grain yield and biomass production increased with increasing N rates, and the IS treatment increased grain yield, total N uptake, and gross return after N application costs (GRN) compared to the ES treatment. Chlorophyll meter readings taken at the R3 corn growth stage in 2006 showed that less N was supplied to the plant with ES compared to the IS treatment. At the end of the study, soil NO3-N masses in the 0.9 to 1.8 m depth were greater under the IS treatment compared to the ES treatment. Results suggested that greater losses of NO3-N below the root zone under the ES treatment may have had a negative effect on corn production. Under SDI systems, fertigating a recommended N rate at various corn growth stages can increase yields, GRN, and reduce NO3-N leaching in soils compared to concentrated early-season applications.

Cannibalism contributes significantly to the diet of cultured sand crabs, Portunus pelagicus (L.): A dual stable isotope study

The significance of cannibalism in the diet of juvenile pond-cultured blue swimmer crabs (Portunus pelagicus (L.)) was investigated using dual stable isotope analysis of carbon and nitrogen. In a laboratory feeding experiment, δ15N demonstrated a constant trophic shift (Δδ15N ≈+ 1.6‰), and therefore seemed to be a reliable indicator for assessing trophic position for P. pelagicus. This agrees with previously reported trends. Difference in growth rate did not seem to influence δ15N values. In contrast, δ13C did not display consistent shifts between trophic levels (range of Δδ13C: + 1 to + 1.7‰). The results from the pond experiment showed that larger individuals had a more enriched δ15N than smaller individuals, which, when compared to the results from the laboratory experiment, indicates that larger individuals were at a higher trophic level. This is most likely due to cannibalism prevailing in the pond rather than a direct result of faster growth rate. Cannibalistic behaviour might further increase growth, resulting in the observed positive correlation between size and δ15N.

Comparison Of If Estimation Methods For Noise Robustness

Non-stationary signal modeling is a well addressed problem in the literature. Many methods have been proposed to model non-stationary signals such as time varying linear prediction and AM-FM modeling, the later being more popular. Estimation techniques to determine the AM-FM components of narrow-band signal, such as Hilbert transform, DESA1, DESA2, auditory processing approach, ZC approach, etc., are prevalent but their robustness to noise is not clearly addressed in the literature. This is critical for most practical applications, such as in communications. We explore the robustness of different AM-FM estimators in the presence of white Gaussian noise. Also, we have proposed three new methods for IF estimation based on non-uniform samples of the signal and multi-resolution analysis. Experimental results show that ZC based methods give better results than the popular methods such as DESA in clean condition as well as noisy condition.

A comparative study of speaker adaptation methods

For the problem of speaker adaptation in speech recognition, the performance depends on the availability of adaptation data. In this paper, we have compared several existing speaker adaptation methods, viz. maximum likelihood linear regression (MLLR), eigenvoice (EV), eigenspace-based MLLR (EMLLR), segmental eigenvoice (SEV) and hierarchical eigenvoice (HEV) based methods. We also develop a new method by modifying the existing HEV method for achieving further performance improvement in a limited available data scenario. In the sense of availability of adaptation data, the new modified HEV (MHEV) method is shown to perform better than all the existing methods throughout the range of operation except the case of MLLR at the availability of more adaptation data.

Indian developments in ultrasonics and acoustic emission methods

Fundamental investigations in ultrasonics in India date back to the early 20th century. But, fundamental and applied research in the field of nondestructive evaluation (NDE) came much later. In the last four decades it has grown steadily in academic institutions, national laboratories and industry. Currently, commensurate with rapid industrial growth and realisation of the benefits of NDE, the activity is becoming much stronger, deeper, broader and very wide spread. Acoustic Emission (AE) is a recent entry into the field of nondestructive evaluation. Pioneering efforts in India in AE were carried out at the Indian Institute of Science in the early 1970s. The nuclear industry was the first to utilise it. Current activity in AE in the country spans materials research, incipient failure detection, integrity evaluation of structures, fracture mechanics studies and rock mechanics. In this paper, we attempt to project the current scenario in ultrasonics and acoustic emission research in India.

Various Methods of Designing Spillway Capacity of Dams and Estimating Flood Discharges

Abstract is not available.

Oppimisen kohteen ja oppijan vastavuoroinen kehitys : Teleyrityksen asiakaspalvelun työyhteisöjen oppimiskäytäntöjen uudistaminen osana teknologis-taloudellista kumousta

Reciprocal development of the object and subject of learning. The renewal of the learning practices of front-line communities in a telecommunications company as part of the techno-economical paradigm change. Current changes in production have been seen as an indication of a shift from the techno-economical paradigm of a mass-production era to a new paradigm of the information and communication technological era. The rise of knowledge management in the late 1990s can be seen as one aspect of this paradigm shift, as knowledge creation and customer responsiveness were recognized as the prime factors in business competition. However, paradoxical conceptions concerning learning and agency have been presented in the discussion of knowledge management. One prevalent notion in the literature is that learning is based on individuals’ voluntary actions and this has now become incompatible with the growing interest in knowledge-management systems. Furthermore, commonly held view of learning as a general process that is independent of the object of learning contradicts the observation that the current need for new knowledge and new competences are caused by ongoing techno-economic changes. Even though the current view acknowledges that individuals and communities have key roles in knowledge creation, this conception defies the idea of the individuals’ and communities’ agency in developing the practices through which they learn. This research therefore presents a new theoretical interpretation of learning and agency based on Cultural-Historical Activity Theory. This approach overcomes the paradoxes in knowledge-management theory and offers means for understanding and analyzing changes in the ways of learning within work communities. This research is also an evaluation of the Competence-Laboratory method which was developed as part of the study as a special application of Developmental Work Research methodology. The research data comprises the videotaped competence-laboratory processes of four front-line work communities in a telecommunications company. The findings reported in the five articles included in this thesis are based on the analyses of this data. The new theoretical interpretation offered here is based on the assessment that the findings reported in the articles represent one of the front lines of the ongoing historical transformation of work-related learning since the research site represents one of the key industries of the new “knowledge society”. The research can be characterized as elaboration of a hypothesis concerning the development of work related learning. According to the new theoretical interpretation, the object of activity is also the object of distributed learning in work communities. The historical socialization of production has increased the number of actors involved in an activity, which has also increased the number of mutual interdependencies as well as the need for communication. Learning practices and organizational systems of learning are historically developed forms of distributed learning mediated by specific forms of division of labor, specific tools, and specific rules. However, the learning practices of the mass production era become increasingly inadequate to accommodate the conditions in the new economy. This was manifested in the front-line work communities in the research site as an aggravating contradiction between the new objects of learning and the prevailing learning practices. The constituent element of this new theoretical interpretation is the idea of a work community’s learning as part of its collaborative mastery of the developing business activity. The development of the business activity is at the same time a practical and an epistemic object for the community. This kind of changing object cannot be mastered by using learning practices designed for the stable conditions of mass production, because learning has to change along the changes in business. According to the model introduced in this thesis, the transformation of learning proceeds through specific stages: predefined learning tasks are first transformed into learning through re-conceptualizing the object of the activity and of the joint learning and then, as the new object becomes stabilized, into the creation of new kinds of learning practices to master the re-defined object of the activity. This transformation of the form of learning is realized through a stepwise expansion of the work community’s agency. To summarize, the conceptual model developed in this study sets the tool-mediated co-development of the subject and the object of learning as the theoretical starting point for developing new, second-generation knowledge management methods. Key words: knowledge management, learning practice, organizational system of learning, agency