Search

Background: This research was planned to search for a potential of modified hydrothermal nanotitania extract in inhibiting the growth of bacteria commonly known in medical field. It is also aims to test this substance against common medical bacteria,Escherichia coli. Materials and methods: In this test, suspension of modified hydrothermal nanotitania extract (together with 0.01%, 0.03% and 0.05% silver) and undoping (positive control contains TiO2 and no silver) were prepared by mixing of TiO2 in Mueller Hinton Broth (MH) agar. The platecontaining the bacteria and TiO2 were observed after 24 hour, 48 hours and 72 hours incubation at 37°C for any growth of bacteria. Results: There was no growth of Escherichia coliin the plates containing the bacteria and modified hydrothermal nanotitania extract except in the control media. Conclusions: The finding suggested the modified hydrothermal nanotitania extractioninterfered the growth of Escherichia coli. [ABSTRACT FROM AUTHOR]

The incidence of dengue cases and dengue death has grown-up dramatically around the world in recent decades. Recently, the number of reported cases, especially in Malaysia continued to increase. Over the year, many researchers try to estimate the number of deaths that cause by dengue. One of the methods in Biostatistics is ARIMA method which is involving time series analysis. Time series analysis commonly referred to any analysis which involved in a time series data. If the continuous observation is dependable, then the values that will come are able to be forecasted from the previous observation. The objective of this research paper is to forecast the number of dengue deaths, to describe the behavior of the time series data and afterwards made use of skilled statistical techniques for estimation, forecasting but also the controlling. In this paper the recognition of concerning the SARIMA (p,d,q) (P,D,Q)15 was given attention through the approach to the Autocorrelation Function ACF and Partial Autocorrelation Function (PACF) theory plot. SARIMA (2,1,0) (0,1,1)15 is being selected as the best model to represent the dengue death data. The gained model will be used as a tool for the prediction of the dengue death. [ABSTRACT FROM AUTHOR]