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

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

Microgrid - The microthreaded many-core architecture

Traditional processors use the von Neumann execution model, some other processors in the past have used the dataflow execution model. A combination of von Neuman model and dataflow model is also tried in the past and the resultant model is referred as hybrid dataflow execution model. We describe a hybrid dataflow model known as the microthreading. It provides constructs for creation, synchronization and communication between threads in an intermediate language. The microthreading model is an abstract programming and machine model for many-core architecture. A particular instance of this model is named as the microthreaded architecture or the Microgrid. This architecture implements all the concurrency constructs of the microthreading model in the hardware with the management of these constructs in the hardware.Comment: 30 pages, 16 figure

ANALISIS PENGARUH TINGKAT INFLASI, KURS TUKAR, DAN SUKU BUNGA TERHADAP REAKSI PASAR (Studi pada Perusahaan Main Board Index - BEI)

This survey research, aim to know how the market get reaction and storey or level capital market to be responsive, which measured by the instrument-stock abnormal return level as measurement of market reaction of macro economic factor. Which the type of the reasearch is casuality desaign survey-rationalize of each variable. The hypothesis raised is (1) there are any significant influance about inflation rate, foreign exchange, and interest rate on market reaction, which is simultaneous and partial significant, (2) influation rate is factor or variable the most effected on market reaction. In this research, use regretion analyzer, with, the aim look for relationship influance between independent variable to dependent variable, according to the hypothesis. As empirical statistical, the macro factor or variable; inflation rate, foreign exchange, and interest rate, effected on market reaction as simultaneous, while on partial-there is only foreign exchange that most effected on market reaction as significantly, this matter prove that market reaction on periodictly commerce serial was unpredictabl