this paper discovers the necessary variables need for creating models for tacit knowledge acquisition, especially in medical care services. the case studied here, was knowledge of diagnosing and time of delivery in twin pregnancy with nuchal translucency screening. this paper covers the empirical work undertaken on semi-structured interview based on thematic analysis. with regard of theoretical...

clustering is one of the known techniques in the field of data mining where data with similar properties is within the set of categories. k-means algorithm is one the simplest clustering algorithms which have disadvantages sensitive to initial values of the clusters and converging to the local optimum. in recent years, several algorithms are provided based on evolutionary algorithms for cluster...

in this paper, we propose a new residual analysis method using fourier series transform into fuzzy time series model for improving the forecasting performance. this hybrid model takes advantage of the high predictable power of fuzzy time series model and fourier series transform to fit the estimated residuals into frequency spectra, select the low-frequency terms, filter out high-frequency term...

background  & aim: case-crossover  studies are the case-control  version of crossover studies. in these studies, cases and controls are the same subjects. the term crossover is applied for designs that all subjects pass through both treatment (exposure) and placebo (non-exposure) phases. in fact they are  crossover  of  subjects  between  periods  of  exposure  and  non-exposure.  this  design ...

Distributed generation (DG) and microgrids (MG) are critical components of future power systems. However, the reliance DGs MG on resource-constrained embedded controllers for their operation renders them potential cyberattack targets. In this paper, we analyze adversarial objectives attackers attempting switching control input modification attacks by manipulating controller firmware. We demonst...