Employment, Knowledge and Latrine Ownership as Risk Factors and Prediction Model of Diarrhea Incidence

Diarrhea is a leading cause of death ranked 3rd after Tuberculosis and Pneumonia in Indonesia. Diarrhea cases in NTT province and also in Kupang City is still high, with Pasir Panjang PHC in 2012 and 2013 ranked the top three, while Oepoi PHC always the lowest rank. This research was conducted to analyze the risk factors for the incidence of diarrhea and create a model equation to predict the diarrhea incidence. This observational analytic research using case control design. Samples with diarrhea cases were recorded in January - June 2015 in the register book Pasir Panjang PHC and Oepoi PHC taken by random sampling to obtain samples for cases 62 children of Diarrhea patient. The control samples are 62 children who are not registered as suffering from diarrhea in the month of June 2015, close to the patient\u27s house, and her mother or people who responsible to take care that children want as respondent. Data were obtained by interviews with the mothers of cases and controls using questionnaires and direct observation using a checklist. Data were analyzed using univariate, bivariate and multivariate logistic regression. There are three variables that significantly affect to the diarrhea incidence, namely employment, knowledge and latrine ownership and the most dominant variable influence that is knowledge (OR 4.353). The model equation Y = - 2.048 +1.153 employment + 1.483 knowledge + 1.480 latrine ownership with a percentage accuracy of the model in classifying observations is 68.5%

Variety of Singular Quadrics Containing a Projective Curve

We study the variety of rank $\leq k$ quadrics containing a general projective curve and show that it has the expected dimension in the range $g-d+r\leq 1$. By considering the loci where this expectation is not true, we construct new divisor classes in $\overline{\mathcal{M}}_{g,n}$. We use one of these classes to show that $\overline{\mathcal{M}}_{15,9}$ is of general type

Non-standardized form of CAPM and stock returns

Emerging markets like Pakistan confront with the problem to validate the CAPM in its original form. Since standard form of this model has unrealistic assumptions, different non-standardized forms have been introduced by different researchers. This paper also introduces a non-standardized form of CAPM to validate whether it is applicable in Pakistan. The data of 20 companies of different sectors, covering the period of 2007 to 2008 were collected. One year KIBOR is taken in replacement of T-bill rates. Beta 3 is calculated using an equation to show the negative relationship between interest rate and market returns. The results of regression analysis reveal mixed results. For instance, mean return of companies in cement and chemical sector is linearly related to its beta risk while other sectors have volatile results

Convex and Concave Soft Sets and Some Properties

In this study, after given the definition of soft sets and their basic operations we define convex soft sets which is an important concept for operation research, optimization and related problems. Then, we define concave soft sets and give some properties for the concave sets. For these, we will use definition and properties of convex-concave fuzzy sets in literature. We also give different some properties for the convex and concave soft sets