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A recent paper by Morris et al. (2013b) presented evidence that students can develop entrepreneurial competencies through international fieldwork. This paper explores whether the same results can be developed in a traditional classroom setting.

The study is a systematic replication of the Morris study with the addition of a matched pair, quasi-experimental design, with a self-replication. Data were collected on 13 self-reported competencies at the start of a semester from two groups using the Morris instrument. The treatment group was exposed to a curriculum designed to teach entrepreneurial competencies, and both groups were re-surveyed at the end of the semester. The process was then repeated with a different cohort, one year later, to replicate the initial study.

Five competencies saw significant increases in the first treatment group. However, only three of these competencies increased more in the treatment group than the control group. In the replication study, only one competency was significantly higher in the treatment group, and that competency was not one of the original three.

Educators and policymakers should select a curriculum that is valid and reliable. Entrepreneurship educators and policymaker should devote more time to evaluating the effectiveness of different pedagogical techniques for improving entrepreneurial competencies.

To the best of our knowledge, this is one of the first studies in entrepreneurship education to undertake a matched pair, quasi-experimental design with an in-study replication. The results indicate that serious inferential errors arise if simpler designs are used, even though such designs are the norm in entrepreneurship research.

In the past two decades there have been two conflicting currents in public attitudes toward the scientific enterprise. Those of us who are old enough have witnessed a greatly expanded public interest, especially in recent years. Newspaper space devoted to the explanation of science has been greatly enlarged and there has been an eruption in the publication of new glossy popular‐science magazines, two of which, Science 82 and Discover, are quite successful. The Bowker Annual, 26th edition, shows an increase in publication of science titles from 1960 to 1979 of approximately 300 percent (from 1089 to 3156); the increase for medicine and health in that same period has been even more dramatic—more than 600 percent (from 520 to 3254).

The purpose of this paper is to explain a current implementation of a programmable and computational material, Logic Matter, and to describe potential applications for computational materials and self‐guided assembly.

Following an introduction, the paper describes the types of information currently found in architectural construction, then introduces Logic Matter, a building block embodying physical digital logic. Examples of structural optimization and construction scenarios are given, to demonstrate the benefits of programmable and computational physical materials for assembly.

Logic Matter demonstrates a prototype with embedded digital logic and programmability, offering new applications for automated assembly, online material analysis and physical computing.

The paper describes the existing types of architectural construction information and proposes a novel application of programmable and computational material for automated assembly.

The differentiation of RES‐models properties as a function of the scalar position of the considered model seems to conform to the following principles: 1. The probability of the presence of a given antinomic state in the property “d” (dynamic) is directly influenced by the position of the model on the size‐scale; 2. The “d” state having been adopted by the RESm‐model, i.e. dmon or dplu, determines the adoption of the state in other mechanical and informational properties in the model under consideration; 3. Each organization of a new model, which is concerned with the RESm‐models series, is accompanied by an inversion of antinomic states in (at least two) cardinal RESm‐properties. Some of the cardinal properties appear as a function of antinomic states inversions during the evolution‐oscillation phenomena of the models.

The rough set concept is a new mathematical approach to imprecision, vagueness and uncertainty. This paper introduces the emergent computational paradigm and discusses its applicability and potential in rough set theory.

A conceptual discussion and approach are taken.

For accepting a system is displaying an emergent behavior, the system should be constructed by describing local elementary interactions between components in different ways of describing global behavior and properties of the running system over a period of time. The proposals of an emergent computation structure for implementing basic rough sets theory operators are also given in this paper.

The results will have an important impact on the development of new methods for knowledge discovery in databases, in particular for development of algorithmic methods for pattern extraction from data.

The human mind possesses the unique capability of “mapping” the external (as well as part of the organism's internal) world i.e. it “compresses” long and complex strings of impinging environmental stimuli (“observations”) and then uses these “minimal length algorithms” in order to simulate physical phenomena‐thereby revealing the “laws of nature”. In this paper we theorize that this process of “Self”‐organization and category formation is implimented via a set of coexisting (strange) attractors in the cognizant apparatus each one of which attracts (and therefore compresses) whole subsets of “initial conditions” the sum‐total of which constitute the set of external stimuli. This set of the initial conditions forms the “Basin” of the attractors and the processes of partition and category formation in the mind involves the topology of the separatrixes amongst the individual subsets of the Basin. We examine in particular how the information processing is mediated by the thalamocortical pacemaker of the brain and, therefore, what might be the role of E.E.G (which is measurable on a routine basis) in Cognition.

The purpose of this paper is to suggest that all of the systems, education, economic and social, are caught in an ever-increasing pace, tied in large part to a set of beliefs, largely economic, that resemble a religion and for which there appears to not be a rational option to escape.

A study of systems.

It is argued that we are at a tipping point where there are too many holes in the intellectual dike, that a shift in many dimensions may not be preventable.

While “techno-futurists” are promoting this increasing evolution pace towards a transformational singularity, there appears to be no serious consideration that humanity may get its “wish” as did King Midas.

There is a serious question as to whether there can be, and should be, alternatives not cast into the frame of the Neo-Luddites.

This is a contrarian view of the current effort to promote the educational focus on STEM, science, technology, engineering and mathematics, almost as a pre-cursor to being able to participate in a technology-driven societal model of the future.

One of the major driving forces behind a firm’s success can be attributed to its meme management. Memes, analogous to the biological gene, are self‐replicating. They represent the knowledge, views, perceptions, and beliefs communicated from person to person. In a business context, memes can be used to manage market perceptions as well as managing the views a firm has of itself. If a firm focuses too persistently on replicating a specific product meme, and by its singularly unyielding focus fails to innovate, a competitor may obliterate it with a disruptive leap in product development. The former firm has failed because of its lack of flexibility and its inability to adapt to a product or market’s ongoing evolutionary process. Discusses the example of Rip Curl, the Australian surf‐wear giant, and how it has developed and managed three memes that are central to Rip Curl’s product success as well as the company’s innovative operations.