(An ISO 9001:2008 Certified Online Journal) ISSN:2455-9660

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Volume 01 Issue 05 (July-2016) | IJERAS

Title: The Enhancement of Emergency Medical Services Systems

Authors: I. E. Ivanov, PhD, V. E. Gueorguiev, PhD, D. V. Georgieva, PhD

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In recent years, in the global healthcare industry could clearly delineate the trend of a fundamental transformation – the global healthcare industry moves from a volume-based business to a value-based business. The development of a new generation of software tools and system for medicine requires a critical assessment of the advantages and disadvantages of existing systems. The paper explores some results of the collaboration project between Medical University of Sofia and Technical University of Sofia, which has the main goal to develop a set of obligatory requirements and to design a new generation Emergency Medical Services Systems (EMSS) in Bulgaria with improved efficiency and enhanced quality indicator.

Page 1-6

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Title: Efficiency Properties of the Stein-Minimax Estimators under Actual Value Prediction

Authors: Mohinder Pal

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In this paper we formulate Stein–minimax type estimators and compare the performance properties in case of actual value predictions. When, the model is estimated by ordinary least squares it has been found that least squares predicted is unbiased while minimax and Stein-minimax predictors are not unbiased. The superiority conditions of the estimators have been derived by assuming error distribution to be non-normal.

Page 19-22

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Title: The Kinetics of Hydrogen Sulphide Formation and Extraction from Organic Matter Decomposition by Sulphate Reduction in Marine Environment

Authors: Kamalu C.I.O., Egenonu E.D, Nwandikom G.I., Kamen F.L., Uzondu F.N., Obijiaku J.C., Onyelucheya O.E., Nwakaudu A.A., Okwara C.A.

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In this research work, kinetic models for sulphate reduction reaction (hydrogen sulphide formation: 2CH2O + (SO4) 2-   →   2(HCO3)- + H2S) in anoxic environment, and the stability of H2S in water (Abiotic oxidation: H2S + 2O2  →  SO42- + 2H+) were developed. Rate data for these two reactions were obtained from the internet to compute for the constants of the model and for the computation and plots of other associated phenomena in aquatic environment. For sulphate reduction, α = 0.0276, K = 2.632; and for H2S stability, α = 1.7, K = 3.27. Dissolved oxygen model with depth of sea was also developed and validated. Program was written for the computation of H2S dependency on pH to solve for the systems of ODEs developed, and the graphical solution presented. The results are seen to be real to nature and what is expected from the literature, as the sulphate reduction kinetics are in perfect agreement with the model discussed in the literature. Methods for the production of H2S from organic matter decomposition in marine environment (eg black sea) where H2S solution is highly concentrated is, also, discussed and outlined (Appendix C). This study can be applied in the large scale production of H2S in marine environment and the study can also aid in determining the concentration profile of the parameters involved in sulphate reduction reaction in aquatic environment. A very important note is that the kinetic model developed here, are subject to modification and advancement to accommodate other forms of organic substrate decomposition.

Page 7-18

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