Usually, for a particular business process different variants exist. Each of them constitutes an adjustment of a reference process model to specific requirements building the process context. Contemporary process management tools do not adequately support the modeling of such process variants. Either the variants have to be specified as separate process models or they are expressed in terms of ...

In order to understand the involvement of specific muscles in congenital myotonic dystrophy type 1 (DM1), we studied the clinical manifestations, and the genetic effects on various tissues in 2 siblings with congenital DM1. The distal leg muscles were more severely involved than the thigh muscles, as seen in the skeletal muscle magnetic resonance imaging. Molecular genetic analysis of the myoto...

Nanoscale Bulk MOSFET Design and Process Technology for Reduced Variability

This paper proposes a new chart with the generalized likelihood ratio (GLR) test statistics for monitoring the process variance of a normally distributed process. The new chart can be easily designed and constructed and the computation results show that it provides quite a satisfactory performance, including the detection of the decrease in the variance and the individual observation at the sam...

J and Graves (Jordan, W. C., S. C. Graves. 1995. Principles on the benefits of manufacturing process flexibility. Management Sci. 41(4) 577–594) initiated a stream of research on supply chain flexibility, which was furthered by Graves and Tomlin (Graves, S. C., B. T. Tomlin. 2003. Process flexibility in supply chains. Management Sci. 49(7) 907–919), that examined various structures for achievin...

A method for probabilistic forecast of agricultural yield depending on meteorological variability, i.e. forecast of agrometeorological resources, is discussed. Forecast is based on the category of meteorologically possible yield (MPY)–the maximum possible yield for a given variety in the existing meteorological conditions. The forecasting process is realized by a potato production process model...

Models are justified after-the-fact, by how well they explain and predict the measured real-world behavior of the phenomenon. Models can be either deterministic, in which case they attempt to provide perfect predictions of a phenomenon, or random (or stochastic), in which case they attempt to model phenomena which have an intrinsic unpredictable variability. Phenomena of the latter type are ref...

This paper proposes an extension for the Business Process Model and Notation (BPMN), named BPMN*, that based on the elements of the feature model (FM), commonly used to represent variability, intends to represent variability in Business Processes Line (BPL). This notation is evaluated by means of an empirical study whose main objective is to compare it with other notation named variant-rich BPM...

This article describes and evaluates a class of methods for performing automated analysis of eye-movement protocols. Although eye movements have become increasingly popular as a tool for investigating user behavior, they can be extremely difficult and tedious to analyze. In this article we propose an approach to automating eye-movement protocol analysis by means of tracing—relating observed eye...

In this paper, we propose a set of ring oscillators (ROs) to estimate D2D variation of MOS threshold voltage and gate length. First, we show a design guideline on designing ROs with enhanced process sensitivities. We propose a set of ROs for process parameter estimation. We then develop an estimation method using a linear model to extract the variations from the measured frequencies. Simulation...