The application of knowledge based expert systems to mechanical engineering design

Investigation of the different approaches used by Expert Systems researchers to solve problems in the domain of Mechanical Design and Expert Systems was carried out. The techniques used for conventional formal logic programming were compared with those used when applying Expert Systems concepts. A literature survey of design processes was also conducted with a view to adopting a suitable model of the design process. A model, comprising a variation on two established ones, was developed and applied to a problem within what are described as class 3 design tasks. The research explored the application of these concepts to Mechanical Engineering Design problems and their implementation on a microcomputer using an Expert System building tool. It was necessary to explore the use of Expert Systems in this manner so as to bridge the gap between their use as a control structure and for detailed analytical design. The former application is well researched into and this thesis discusses the latter. Some Expert System building tools available to the author at the beginning of his work were evaluated specifically for their suitability for Mechanical Engineering design problems. Microsynics was found to be the most suitable on which to implement a design problem because of its simple but powerful Semantic Net Knowledge Representation structure and the ability to use other types of representation schemes. Two major implementations were carried out. The first involved a design program for a Helical compression spring and the second a gearpair system design. Two concepts were proposed in the thesis for the modelling and implementation of design systems involving many equations. The method proposed enables equation manipulation and analysis using a combination of frames, semantic nets and production rules. The use of semantic nets for purposes other than for psychology and natural language interpretation, is quite new and represents one of the major contributions to knowledge by the author. The development of a purpose built shell program for this type of design problems was recommended as an extension of the research. Microsynics may usefully be used as a platform for this development.

Dynamic decision networks for decision-making in self-adaptive systems:a case study

Bayesian decision theory is increasingly applied to support decision-making processes under environmental variability and uncertainty. Researchers from application areas like psychology and biomedicine have applied these techniques successfully. However, in the area of software engineering and speci?cally in the area of self-adaptive systems (SASs), little progress has been made in the application of Bayesian decision theory. We believe that techniques based on Bayesian Networks (BNs) are useful for systems that dynamically adapt themselves at runtime to a changing environment, which is usually uncertain. In this paper, we discuss the case for the use of BNs, speci?cally Dynamic Decision Networks (DDNs), to support the decision-making of self-adaptive systems. We present how such a probabilistic model can be used to support the decision making in SASs and justify its applicability. We have applied our DDN-based approach to the case of an adaptive remote data mirroring system. We discuss results, implications and potential bene?ts of the DDN to enhance the development and operation of self-adaptive systems, by providing mechanisms to cope with uncertainty and automatically make the best decision.

Social control in online communities of consumption:a framework for community management

Online communities of consumption (OCCs) represent highly diverse groups of consumers whose interests are not always aligned. Social control in OCCs aims to effectively manage problems arising from this heterogeneity. Extant literature on social control in OCCs is fragmented as some studies focus on the principles of social control, while others focus on the implementation. Moreover, the domain is undertheorized. This article integrates the disparate literature on social control in OCCs providing a first unified conceptualization of the topic. The authors conceptualize social control as a system, or configuration, of moderation practices. Moderation practices are executed during interactions operating under different governance structures (market, hierarchy, and clan) and serving different purposes (interaction initiation, maintenance, and termination). From this conceptualization, important areas of future research emerge and research questions are developed. The framework also serves as a community management tool for OCC managers, enabling the diagnosis of social control problems and the elaboration of strategies and tactics to address them.

Illness perceptions predict reassurance following a negative exercise stress testing result

Many patients are not reassured after receiving normal results following cardiac investigations. While previous studies have shown anxiety to be a contributing factor, little research has investigated the influence of patients’ illness perceptions on reassurance. In this study we investigated whether illness perceptions predicted patients’ reassurance following normal exercise stress test results. Sixty-two chest pain patients without prior diagnosed cardiac pathology completed questionnaires assessing anxiety and illness perceptions prior to exercise stress testing. Patients completed a reassurance questionnaire immediately following their appointment and again one month later. Illness perceptions (consequences, timeline, identity, illness concern, and emotional effect) but not anxiety, significantly predicted reassurance immediately following testing. We found both state anxiety and illness perceptions to predict reassurance one month later. After controlling for anxiety, longer timeline and lower treatment control beliefs predicted lower reassurance. The results suggest that an intervention targeting patients who have high anxiety and negative illness perceptions prior to testing may improve reassurance and decrease disability and the subsequent use of medical care.

Diagnosing autism spectrum disorder:who will get a DSM-5 diagnosis?

Background Introduction of proposed criteria for DSM-5 Autism Spectrum Disorder (ASD) has raised concerns that some individuals currently meeting diagnostic criteria for Pervasive Developmental Disorder (PDD; DSM-IV-TR/ICD-10) will not qualify for a diagnosis under the proposed changes. To date, reports of sensitivity and specificity of the new criteria have been inconsistent across studies. No study has yet considered how changes at the 'sub domain' level might affect overall sensitivity and specificity, and few have included individuals of different ages and ability levels. Methods A set of DSM-5 ASD algorithms were developed using items from the Diagnostic Interview for Social and Communication Disorders (DISCO). The number of items required for each DSM-5 subdomain was defined either according to criteria specified by DSM-5 (Initial Algorithm), a statistical approach (Youden J Algorithm), or to minimise the number of false positives while maximising sensitivity (Modified Algorithm). The algorithms were designed, tested and compared in two independent samples (Sample 1, N = 82; Sample 2, N = 115), while sensitivity was assessed across age and ability levels in an additional dataset of individuals with an ICD-10 PDD diagnosis (Sample 3, N = 190). Results Sensitivity was highest in the Initial Algorithm, which had the poorest specificity. Although Youden J had excellent specificity, sensitivity was significantly lower than in the Modified Algorithm, which had both good sensitivity and specificity. Relaxing the domain A rules improved sensitivity of the Youden J Algorithm, but it remained less sensitive than the Modified Algorithm. Moreover, this was the only algorithm with variable sensitivity across age. All versions of the algorithm performed well across ability level. Conclusions This study demonstrates that good levels of both sensitivity and specificity can be achieved for a diagnostic algorithm adhering to the DSM-5 criteria that is suitable across age and ability level. © 2013 The Authors. Journal of Child Psychology and Psychiatry © 2013 Association for Child and Adolescent Mental Health.

Cardiocentric neurophysiology:the persistence of a delusion

Aristotle is well known to have taught that the brain was a mere coolant apparatus for overheated blood and to have located the hegemonikon in the heart. This teaching was hotly disputed by his immediate successors in the Alexandrian Museum, who showed that the brain played the central role in psychophysiology. This was accepted and developed by the last great biomedical figure of classical antiquity - Claudius Galen. However, Aristotle's cardiocentric theory did not entirely disappear and this article traces its influence through the Arabic physicians of the Islamic ascendancy, into the European Middle Ages where Albertus Magnus' attempt to reconcile cardiocentric and cerebrocentric physiology was particularly influential. It shows how cardiocentricity was sufficiently accepted to attract the attention of, and require refutation by, many of the great names of the Renaissance, including Vesalius, Fernel, and Descartes, and was still taken seriously by luminaries such as William Harvey in the mid-seventeenth century. The article, in rehearsing this history, shows the difficulty of separating the first-person perspective of introspective psychology and the third-person perspective of natural science. It also outlines an interesting case of conflict between philosophy and physiology. © 2013 Copyright Taylor & Francis Group, LLC.

Educating Europe

In the UK most psychology undergraduates are women, most finish their education with a bachelor's degree, most do not enter professional psychology, and competition to do so at 21+ is fierce. This all raises many questions - not least about the nature of the discipline itself and the purpose of university education. Although they have unique features, other European countries, are grappling with similar issues. They all have interesting and varied responses within a common broad framework. These variations tell us something about higher education, about vocational preparation, and about the shape and future of the discipline.

Does self-affirmation promote physical activity regardless of threat level?

Background: Self-affirmation (i.e., focusing on a valued aspect of the self-concept) can promote health behaviour change. This study aimed to see if self-affirmation increased physical activity (PA) regardless of threat level presented in health messages. Methods: Sixty-eight participants were randomly allocated to condition in a 2 (self-affirmation, no affirmation) x 2 (high threat, low threat) between-participants design. Participants completed the Godin Leisure-Time Exercise Questionnaire at baseline and one week later to assess PA. Findings: A two-way ANCOVA with affirmation condition and threat level as predictor variables, controlling for baseline PA, was performed on follow up PA. Baseline PA was a significant predictor (F(1,63) = 399.63, p<0.001) and the main effect of affirmation condition approached significance (F(1,63) = 3.55, p=0.06). There were no other significant effects. Discussion: This study provides further evidence that self-affirmation can increase PA, but found no interaction between self-affirmation and threat level presented in health messages.