Papers by Email Helps-Desk
The Treatment of Crime
Transactions. Medico-Chirurgical Society of Edinburgh, 1897
The Compulsory Notification of Phthisis
Transactions. Medico-Chirurgical Society of Edinburgh, 1907
A technology path to tactical agent-based modeling
Next-Generation Analyst V
Annals of Oncology
Conclusion: None of the above researches can independently verify the nature of volumetric masses... more Conclusion: None of the above researches can independently verify the nature of volumetric masses of the head of the pancreas. The proposed algorithm of diagnostic methods made it possible to verify pancreatic cancer in 40 (70.2%) people and in 17 (29.8%) chronic inducible pancreatitis with subsequent choice of treatment tactics. P À 206 Expanded analysis of mFOLFIRINOX as second-line chemotherapy in pancreatic adenocarcinoma
How Herbivore Browsing Strategy Affects Whole-Plant Photosynthetic Capacity
Bulletin of Mathematical Biology, 2017
If a browse damage index indicates that a tree has been 50% browsed by herbivores, does this mean... more If a browse damage index indicates that a tree has been 50% browsed by herbivores, does this mean half the leaves are entirely eaten or are all the leaves half eaten? Were the affected leaves old or young? Large or small? In sunshine or shade? Understanding what effect browsing will have on the photosynthetic capacity and the plant's survival ability clearly requires a greater understanding of browsing strategy across the canopy than can be given by a single index value. We developed stochastic models of leaf production, growth and consumption using data from kamahi (Weinmannia racemosa) trees in New Zealand which have been browsed by possums (Trichosurus vulpecula), to ascertain which of six feasible browsing strategies possums are most likely to be employing. We compared the area distribution of real fallen leaves to model output in order to select the best model, and used the model to predict the age distribution of leaves on the tree and thus infer its photosynthetic capability. The most likely browsing strategy that possums employ on kamahi trees is a preference for virgin (i.e. previously unbrowsed) leaves, consistent with the idea that browsing increases the production of chemical plant defences. More generally, our results show that herbivore browsing strategy can significantly change the whole-plant photosynthetic capability of any plant and hence its ability to survive, and therefore, herbivore damage indices should be used in conjunction with more detailed information about herbivore browsing strategy.
Threshold logic based low-level vision sparse object features
International Journal of Intelligent Computing and Cybernetics, 2016
Collective Cell Behaviour with Neighbour-Dependent Proliferation, Death and Directional Bias
Bulletin of mathematical biology, Nov 1, 2016
Collective cell migration and proliferation are integral to tissue repair, embryonic development,... more Collective cell migration and proliferation are integral to tissue repair, embryonic development, the immune response and cancer. Central to collective cell migration and proliferation are interactions among neighbouring cells, such as volume exclusion, contact inhibition and adhesion. These individual-level processes can have important effects on population-level outcomes, such as growth rate and equilibrium density. We develop an individual-based model of cell migration and proliferation that includes these interactions. This is an extension of a previous model with neighbour-dependent directional bias to incorporate neighbour-dependent proliferation and death. A deterministic approximation to this individual-based model is derived using a spatial moment dynamics approach, which retains information about the spatial structure of the cell population. We show that the individual-based model and spatial moment model match well across a range of parameter values. The spatial moment mo...
An Efficient Method to Estimate the Optimum Regularization Parameter in RLDA
Bioinformatics, 2016
The biomarker discovery process in high-throughput genomic profiles has presented the statistical... more The biomarker discovery process in high-throughput genomic profiles has presented the statistical learning community with a challenging problem, namely learning when the number of variables is comparable or exceeding the sample size. In these settings, many classical techniques including linear discriminant analysis (LDA) falter. Poor performance of LDA is attributed to the ill-conditioned nature of sample covariance matrix when the dimension and sample size are comparable. To alleviate this problem, regularized LDA (RLDA) has been classically proposed in which the sample covariance matrix is replaced by its ridge estimate. However, the performance of RLDA depends heavily on the regularization parameter used in the ridge estimate of sample covariance matrix. We propose a range-search technique for efficient estimation of the optimum regularization parameter. Using an extensive set of simulations based on synthetic and gene expression microarray data, we demonstrate the robustness of the proposed technique to Gaussianity, an assumption used in developing the core estimator. We compare the performance of the technique in terms of accuracy and efficiency with classical techniques for estimating the regularization parameter. In terms of accuracy, the results indicate that the proposed method vastly improves on similar techniques that use classical plug-in estimator. In that respect, it is better or comparable to cross-validation-based search strategies while, depending on the sample size and dimensionality, being tens to hundreds of times faster to compute. The source code is available at https://github.com/danik0411/optimum-rlda CONTACT: amin.zollanvari@nu.edu.kzSupplementary information: Supplementary materials are available at Bioinformatics online.
Pixel-Level Decisions based Robust Face Image Recognition
Face recognition is a special topic in visual information processing that has grown to be of trem... more Face recognition is a special topic in visual information processing that has grown to be of tremendous interest to pattern recognition researchers for the past couple of decades (Delac & Grgic, 2007; Hallinan et al., 1999; Li & Jain, 2005; Wechsler, 2006; Zhao & Chellappa, ...
Representation/Invocation of Actions/Functions in a Hypermedia-Driven Environment
Examplers of a face are formed from multiple gallery images of a person and are used in the proce... more Examplers of a face are formed from multiple gallery images of a person and are used in the process of classification of a test image. We incorporate such examplers in forming a biologically inspired local binary decisions on similarity based face recognition method. As opposed to single model approaches such as face averages the exampler based approach results in higher recognition accuracies and stability. Using multiple training samples per person, the method shows the following recognition accuracies: 99.0% on AR, 99.5% on FERET, 99.5% on ORL, 99.3% on EYALE, 100.0% on YALE and 100.0% on CALTECH face databases. In addition to face recognition, the method also detects the natural variability in the face images which can find application in automatic tagging of face images.
Generic ownership is a mechanism for seamlessly combining ownership and genericity. Every class i... more Generic ownership is a mechanism for seamlessly combining ownership and genericity. Every class in Ownership Generic Java (OGJ) has an owner parameter as the last type argument. Defaulting is a way to take any Generic Java (GJ) program and translate it to an OGJ program thus making it possible to provide full backwards compatibility of OGJ with GJ programs. Since standard Java now has support for generics, defaulting lays down a path for making vanilla Java programs ownership parametric with no change to the source code.
Threshold Logic Computing: Memristive-CMOS Cells for Fast Fourier Transform and Vedic Multiplication
Ieee Transactions on Very Large Scale Integration Systems, 2014
Clinical Remarks on Tuberculous Chlorosis
Bmj, 1907
Gesture Inferred Vocabulary Bindings
We briefly introduce the memory based approaches to emulate machine intelligence in VLSI hardware... more We briefly introduce the memory based approaches to emulate machine intelligence in VLSI hardware, describing the challenges and advantages. Implementation of artificial intelligence techniques in VLSI hardware is a practical and difficult problem. Deep architectures, hierarchical temporal memories and memory networks are some of the contemporary approaches in this area of research. The techniques attempt to emulate low level intelligence tasks and aim at providing scalable solutions to high level intelligence problems such as sparse coding and contextual processing.
Electronic health record system and method for an underserved population
Stemming the tide: progress towards resolving the causes of decline and implementing management responses for the disappearing mammal fauna of northern Australia
Therya, 2015
ABSTRACT Recent studies at some sites in northern Australia have reported severe and rapid declin... more ABSTRACT Recent studies at some sites in northern Australia have reported severe and rapid decline of some native mammal species, notwithstanding an environmental context (small human population size, limited habitat loss, substantial reservation extent) that should provide relative conservation security. All of the more speciose taxonomic groups of mammals in northern Australia have some species for which the conservation status has been assessed as threatened, with 53% of dasyurid, 46% of macropod and potoroid, 33% of bandicoot and bilby, 33% of possum, 31% of rodent, and 24% of bat species being assessed as extinct, threatened or Near Threatened. This paper reviews disparate recent and ongoing studies that provide information on population trends across a broader geographic scope than the previously reported sites, and provides some information on the conservation status and trends for mammal groups (bats, larger macropods) not well sampled in previous monitoring studies. It describes some diverse approaches of studies seeking to document conservation status and trends, and of the factors that may be contributing to observed patterns of decline. The studies reported provide some compelling evidence that predation by feral cats is implicated in the observed decline, with those impacts likely to be exacerbated by prevailing fire regimes (frequent, extensive and intense fire), by reduction in ground vegetation cover due to livestock and, in some areas, by ‘control’ of dingoes. However the impacts of dingoes may be complex, and are not yet well resolved in this area. The relative impacts of these individual factors vary spatially (with most severe impacts in lower rainfall and less topographically rugged areas) and between different mammal species, with some species responding idiosyncratically: the most notable example is the rapid decline of the northern quoll Dasyurus hallucatus due to poisoning by the introduced cane toad Rhinella marina, which continues to spread extensively across northern Australia. The impact of disease, if any, remains unresolved. Recovery of the native mammal fauna may be impossible in some areas. However, there are now examples of rapid recovery following threat management. Priority conservation actions include: enhanced biosecurity for important islands, establishment of a network of substantial predator exclosures, intensive fire management (aimed at increasing the extent of longer-unburnt habitat and in delivering fine scale patch burning), reduction in feral stock in conservation reserves, and acquisition for conservation purposes of some pastoral lands in areas that are significant for mammal conservation.
Spatial structure arising from neighbour-dependent bias in collective cell movement
PeerJ, 2016
Mathematical models of collective cell movement often neglect the effects of spatial structure, s... more Mathematical models of collective cell movement often neglect the effects of spatial structure, such as clustering, on the population dynamics. Typically, they assume that individuals interact with one another in proportion to their average density (the mean-field assumption) which means that cell–cell interactions occurring over short spatial ranges are not accounted for. However,in vitrocell culture studies have shown that spatial correlations can play an important role in determining collective behaviour. Here, we take a combined experimental and modelling approach to explore how individual-level interactions give rise to spatial structure in a moving cell population. Using imaging data fromin vitroexperiments, we quantify the extent of spatial structure in a population of 3T3 fibroblast cells. To understand how this spatial structure arises, we develop a lattice-free individual-based model (IBM) and simulate cell movement in two spatial dimensions. Our model allows an individual...
Feature selection is an important problem in high-dimensional data analysis and classification. C... more Feature selection is an important problem in high-dimensional data analysis and classification. Conventional feature selection approaches focus on detecting the features based on a redundancy criterion using learning and feature searching schemes. In contrast, we present an approach that identifies the need to select features based on their discriminatory ability among classes. Area of overlap between inter-class and intra-class distances resulting from feature to feature comparison of an attribute is used as a measure of discriminatory ability of the feature. A set of nearest attributes in a pattern having the lowest area of overlap within a degree of tolerance defined by a selection threshold is selected to represent the best available discriminable features. State of the art recognition results are reported for pattern classification problems by using the proposed feature selection scheme with the nearest neighbour classifier. These results are reported with benchmark databases having high dimensional feature vectors in the problems involving images and micro array data.
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