XML programming has emerged as a powerful data processing paradigm with its own rules for abstracting, partitioning, programming styles, and idioms. Seasoned XML programmers expect, and their productivity depends on the availability of languages and tools that allow usage of the patterns and practices native to the domain of XML programming. The object-oriented community, however, prefers XML d...

Supply Chain (SC) design problems are often characterized with uncertainty related to the decisionmaking parameters. The Stochastic Goal Programming (SGP) was one of the aggregating procedures proposed to solve the SC problems. However, the SGP does not integrate explicitly the Decision-Maker’s preferences. The aim of this paper is to utilize the Chance Constrained Programming and the Satisfact...

Spreadsheet engineering adapts the lessons of software engineering to spreadsheets, providing eight principles as a framework for organizing spreadsheet programming recommendations. Spreadsheets raise issues inadequately addressed by software engineering. Spreadsheets are a powerful modeling language, allowing strategic rapid model change, and enabling exploratory modeling. Spreadsheets users l...

The use of spies in combat, international, and industrial conflict and competition can be critical in obtaining an advantage in the outcome of such a situation. An understanding of the underlying framework of spying is a valuable tool in making decisions involving the use of spies. This paper studies spying in the context of matrix games. We formulate and model a number of situations involving ...

This paper proposes a new location problem of competitive facilities, e.g. shops and stores, with uncertain demands in the plain. By representing the demands for facilities as random variables, the location problem is formulated to a stochastic programming problem, and it is reformulated to three deterministic programming problems: expectation maximizing problem, probability maximizing problem,...

This paper proposes a new location problem of competitive facilities, e.g. shops and stores, with uncertain demands in the plane. By representing the demands for facilities as random variables, the location problem is formulated to a stochastic programming problem, and for finding its solution, three deterministic programming problems: expectation maximizing problem, probability maximizing prob...

Umberto Eco theorized a semiotic process through which people perceive, interpret, internalize (learn), and produce (articulate) information. The process involves a set of symbolic representations and transformations that model how humans acquire and process information. Hughes and Peirsi investigated Learning Approaches that students use to learn object oriented (OO) programming. Three learnin...

Companies need innovation to increase their market share and profit margin. Innovation is the successful product put on the market using a new idea. At the beginning of the process, it is not simple to evaluate if the novelty will be or not an innovation. It is in general after launching and selling the new product that the innovation level can be assessed. This paper addresses one main issue: ...

There are wide-ranging views among track and field experts regarding the optimal strategy to use in the triple jump. The controversy pertains to the effort which should be expended in each of the hop, step, and jump phases. In this paper, we develop a dynamic programming approach for finding the optimal strategy. The results of our model support a recent shift in opinion in favour of a jump-dom...

S returns unexplained by “fundamentals,” such as cash flow news, are more likely to reverse in the short run than those linked to fundamental news. Making novel use of analyst forecast revisions to measure cash flow news, a simple enhanced reversal strategy generates a risk-adjusted return four times the size of the standard reversal strategy. Importantly, isolating the component of past return...