OBJECTIVE To evaluate the psychometric properties of the Indonesian version of the Dutch National Prevalence Measurement of Care Problems. The questionnaire consists of 6 parts: patient characteristics (including pressure ulcer [PrU] risk; assessed by the Braden Scale) and care dependency (assessed by the Care Dependency Scale [CDS]), PrU categorization, prevention, treatment, and structural qu...

In this paper we study a variant of the finite element tearing and interconnecting (FETI) method which is suitable for elliptic PDEs with highly heterogeneous (multiscale) coefficients α(x); in particular, coefficients with strong variation within subdomains and/or jumps that are not aligned with the subdomain interfaces. Using energy minimisation and cut-off arguments we can show rigorously th...

The input electrical impedance behaves as a capacitive when a piezoelectric transducer is excited near its resonance frequency. In order to increase the energy transmission efficiency, a series or parallel inductor should be used to compensate the capacitive impedance of the piezoelectric transducer. In this paper, the effect of the series matching inductor on the electromechanical characterist...

To evaluate the performance of speaker recognition systems, a detection cost function defined as a weighted sum of the probabilities of type I and type II errors is employed. The speaker datasets may have data dependency due to multiple uses of the same subjects. Using the standard errors of the detection cost function computed by means of the two-layer nonparametric two-sample bootstrap method...

Multivariate functional data are increasingly encountered in data analysis, while statistical models for such data are not well developed yet. Motivated by a case study where one aims to quantify the relationship between various longitudinally recorded behavior intensities for Drosophila flies, we propose a functional linear manifold model. This model reflects the functional dependency between ...

It has been shown that Internet traffic possesses a high degree of self-similarity and long-range dependency. Hence, classical statistical models cannot adequately model the fundamental properties of such traffic. The degree of long-range dependency is captured by the Hurst parameter. Various statistical estimators can be used to estimate the long-range dependency and consequently, the Hurst (H...