コンピュータサイエンスとシステム生物学のジャーナル

We report simulation of experimental data for heterogeneous distribution of extracellular potassium, by developing and applying a mathematical model formulated by incorporating a Luo-Rudy representation of the cell membrane current into the bidomain model of the cardiac tissue. Our model serves to examine propagation of extra cellular potassium from a region of low potassium (normal) to a region of high potassium (ischemic). Starting with computer simulation of unipolar stimulation of cardiac tissue, we reproduced results of the passive bidomain model, and also simulated the space-clamped Luo Rudy model. Finally, we combined the Luo-Rudy model with the bidomain model. The diastolic threshold for anodal stimulation first decreased and then increased with increasing potassium concentration ([K]0), reaching a minimum value at [K]0=12mM.

This study attempts to investigate the global competitiveness scenario in chemical manufacturing industries in line with lean thinking. The objective of this article is also to understand the concept of lean manufacturing, its philosophy, various tools and techniques, lean implementation benefits and barrier towards lean implementation of chemical industries in Ethiopia. Competitiveness of chemical manufacturing industry is not easily attainable since chemical products nature is variant. There are challenges which hinder the development of chemical industries production. The chemical industries contribution to the economy is very small when compared to agriculture contribution due to infant stage of the industrial group in general. The methods that can bring the chemical industries development and increase competitiveness is one lean thinking revolution. The big challenges noticed in this study found are chemical manufacturing industries have not diffused lean thinking into their process. The chemical industries consume more energy and resources with high technology. As a result of these, the development of chemical manufacturing industry in Ethiopia is darting and at initial stage in contributing for the country economics in employment, GDP, and self-sustained economy. Lean philosophy utilization to companies needs more commitment by the industrial sectors worker and kaizen institute.

We consider a synchronous Boolean organism consisting of N cells arranged in a circle, where each cell initially takes on an independently chosen Boolean value. During the lifetime of the organism, each cell updates its own value by responding to the presence (or absence) of diversity amongst its two neighbours’ values. We show that if all cells eventually take a value of 0 (irrespective of their initial values) then the organism necessarily has a cell count that is a power of 2. In addition, the converse is also proved: if the number of cells in the organism is a proper power of 2, then no matter what the initial values of the cells are, eventually all cells take on a value of 0 and then cease to change further. We argue that such an absence of structure in the dynamical properties of the organism implies a lack of adaptiveness, and so is evolutionarily disadvantageous. It follows that as the organism doubles in size (say from m to 2m) it will necessarily encounter an intermediate size that is a proper power of 2, and suffers from low adaptiveness. Finally we show, through computational experiments, that one way an organism can grow to more than twice its size and still avoid passing through intermediate sizes that lack structural dynamics, is for the organism to depart from assumptions of homogeneity at the cellular level.

Recently, big data is becoming the key to improve the future healthcare. The era of big biomedical data comes with significant challenges in querying, storage, visualize, and analyze the available petabytes of biomedical data, which makes healthcare industry a data-driven field. Currently, the available Concurrent Risk Model (CRM) is limited to the availability of patient episodes that are sensitivity to its cost. Herein, we propose a novel hierarchical data mining based on functional networks to develop a new CRM. This new risk score evaluates the last twelve-month period of patients’ expected risk/cost/severity/illness burden/disease intervention using both medical and drugs claim-based predictors: diagnoses, medications (yes/no), and demographics. Our novel CRM predicts $50,000 permember- per month (PMPM) tracks risk trends over time for any particular group, especially severe chronic diseases. Our CRM model has R2=0.57 in comparison with the best results of Society of Actuaries.

Purpose: The CVA is an interactive, automated computer device that rapidly thresholds central acuity under conditions mimicking customary photopic and mesopic activities. In sequence, the CVA may test up to 6 environments, in this series under 3 mesopic environments (98%, 50% MC against 1.6 cd/m2 background, 25% MC against 5 cd/m2), then 3 glare environments (98%, 10% and 8% MC, against 200 cd/m2). This report compares the CVA thresholded acuity with that measured with letter charts, as well as with C-Quant derived glare testing and patient responses to the Activities of Daily Vision Scale (ADVS) in eyes with nuclear cataract. Methods: In 33 eyes with nuclear cataract compared with 69 emmetropic eyes without lens opacity, best refracted acuity was measured under CVA modules and with ETDRS charts presenting similar contrast and luminance. Both groups were also tested with 15% MC charts placed outdoors with sun overhead and with sun at 15° off-axis and compared with the CVA acuty at 10% MC and 8% MC thresholded in a darkened room. In 22 of the eyes with nuclear cataract, C-Quant analysis of straylight glare was also performed along with the ADVS. Results: Acuities thresholded with CVA modules demonstrated high Pearson correlation coefficients, and Bland and Altman statistical similarity with the acuities measured from similar contrast charts. The acuities measured with CVA glare modules correlated significantly with charts placed in sun glare and with C-Quant measurements of straylight. Significant correlations were noted between CVA acuities and near vision as well as distance driving tasks. Conclusions: The CVA demonstrates the ability to accurately threshold the acuity of eyes with nuclear cataract compared with chart acuity under conditions of contrast, luminance and fixation times simulating normal photopic and mesopic activities and to provide the physician with glare evaluation and ability to function under multiple types of activities.

Life is the main interesting thing in this existence and we are always searching to make it better and easy answering our duties as simple as it can, the purpose is easy to understand it cause we are looking for a comfortable life which handles all our routine tasks, for that today we introduce a system which can be plugged on our terminals and which it can make tasks automatically basing on the environment events. We present a dissertation project details and its application on both sides the web corner and terminal assistant, Multi-Agent System collaborates with PDDL to determinate which functions and procedures the agent has to execute at the time basing on environments events which are playing the rules of parameters in each functions or procedures.

Assessing the foremost chamber edge with gonioscopy is a vital piece of assessing patients at danger of contracting glaucoma and neovascularization. It additionally gives valuable data to patients with iris variations from the norm or a background marked by injury or visual irritation. Lamentably, gonioscopy is underutilized by both optometrists and ophthalmologists. Many manifestations call for performing gonioscopy. A standout amongst the most well-known explanations behind performing gonioscopy is in situations where the specialist suspects a patient is at danger of being tainted with Angle closure glaucoma (ACG) with understudy dilation. This paper goes for figuring the point of transparent glaucoma as a first stride of deciding the fluid’s thickness accessible on the cornea, which has been ended up being extremely useful in counteracting vision misfortune. The systems included in this study incorporate proposing an eye division handle, the Angle Open Distance (AOD), Trabecular-Iris Angle (TIA), and trabecular iris space Angle (TISA). The reproduction results got and the execution of the proposed strategy are observed to be exceptionally effective and precise.

In an effort to unravel the workings of the human brain the European Commission established the Human Brain Project (2013) however it has been subject to intense rescrutiny, criticism and political infighting. Accordingly the aim of this article is to provide a critical review of whether, at least from the technical perspective, such criticisms are justified. The author is in the privileged position of being able to do so because he heads a company which is in the unique position of commercialising a technology, developed by its Technical Director Dr. Igor Grakov (launched in its first commercial version in 1999), which is based upon a precise, sophisticated, and detailed mathematical model of the autonomic nervous system i.e. that cognitive input can be used as the data sets for a neural simulation technique and/or mathematical model which links brain function to the regulated function of the body’s physiological and/or functional systems, the organs which are essential components of these systems, and of the pathological changes to cellular and molecular biology which are the consequence of systemic dysfunction. In other words the Strannik technology developed by Dr. Grakov meets several of the key aims and objectives of the Human Brain Project. This article highlights (i) fundamental limitations of current diagnostic methods which will severely constrain the ability of researchers to reach a successful conclusion; (ii) fundamental limitations of medical research which ignore basic principles of chemistry and widely recognised (but unfashionable) phenomena; (iii) the assumption that there is a healthy and/or ‘unhealthy’ brain although clearly the health of the brain is influenced by stress, nutritional deficits and emergent pathologies; (iv) it questions the need for ‘big data’ rather than investment in the basic research to identify the fundamental scientific principles; and (v) it is critical of the way in which contemporary biomedical research overlooks the complex and wholistic way in which the body functions.