What makes a good article? Generating an insightful manuscript

Purpose – The purpose of this editorial is to provide guidance to EJM authors about the structure and presentation of manuscripts that are likely to be insightful and that will probably provide contributions to knowledge. Design/methodology/approach – The approach is editorial advice based on the Editors' experience of receiving circa 500 manuscripts during their first year as Joint Editors of EJM, but which is also consistent with guidance in other leading journals. Findings – Guidance is provided for authors when preparing and revising their manuscripts, which is also a basis for further discussion and exchange concerning the effectiveness of communicating research outcomes. Research limitations/implications – The guidance is based on the views of the EJM Joint Editors, although it is consistent with other leading journals. Practical implications – Hopefully, authors will find the guidance helpful, although the editors emphasise that it is guidance and not a strict prescription that must be obeyed. Originality/value – Hopefully, the editorial provides more “food for thought” for authors.

Generating music with graphical models

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Using genetic programming and decision trees for generating structural descriptions of four bar mechanisms

Four bar mechanisms are basic components of many important mechanical devices. The kinematic synthesis of four bar mechanisms is a difficult design problem. A novel method that combines the genetic programming and decision tree learning methods is presented. We give a structural description for the class of mechanisms that produce desired coupler curves. Constructive induction is used to find and characterize feasible regions of the design space. Decision trees constitute the learning engine, and the new features are created by genetic programming.

Age effect in generating mental images of buildings but not common objects

Imagining a familiar environment is different from imagining an environmental map and clinical evidence demonstrated the existence of double dissociations in brain-damaged patients due to the contents of mental images. Here, we assessed a large sample of young and old participants by considering their ability to generate different kinds of mental images, namely, buildings or common objects. As buildings are environmental stimuli that have an important role in human navigation, we expected that elderly participants would have greater difficulty in generating images of buildings than common objects. We found that young and older participants differed in generating both buildings and common objects. For young participants there were no differences between buildings and common objects, but older participants found easier to generate common objects than buildings. Buildings are a special type of visual stimuli because in urban environments they are commonly used as landmarks for navigational purposes. Considering that topographical orientation is one of the abilities mostly affected in normal and pathological aging, the present data throw some light on the impaired processes underlying human navigation.

Two case studies on generating administrative process applications with AdminDSL

Some organizations end up reimplementing the same class of business process over and over: an "administrative process", which consists of managing a form through several states and involving various roles in the organization. This results in wasted time that could be dedicated to better understanding the process or dealing with the fine details that are specific to the process. Existing virtual office solutions require specific training and infrastructure andmay result in vendor lock-in. In this paper, we propose using a high-level domain-specific language (AdminDSL) to describe the administrative process and a separate code generator targeting a standard web framework. We have implemented the approach using Xtext, EGL and the Django web framework, and we illustrate it through two case studies: a synthetic examination process which illustrates the architecture of the generated code, and a real-world workplace survey process that identified several future avenues for improvement.