This paper describes an expert systems approach, based on symbolic reasoning techniques, to the problem of predicting radiated EM1 levels from printed circuit boards. The expert system, currently under development at the University of Missouri-Rolla, starts by extracting board geometry information from the board layout files. This information is fed into the classification algorithm, which dete...

Teaching constitutes part of a psychiatrist's work. The essential determinants of best practice in psychiatric education as well as proven teaching methods are still lacking. The authors have presented the application of the Delphi technique to under- and postgraduate teaching programmes in diverse fields of medical knowledge. The Delphi method is based on systematic and anonymous refinement of...

This paper investigated the integration of a Lesson Study Model (LSM) into distance STEM education during COVID-19 pandemic. The study focused on six dimensions: (1) in learning, (2) (LS), (3) lesson planning processes, (4) challenges planning, (5) evaluation and assessment methods, (6) strategies, techniques. sample consisted 24 science teachers recruited using criterion sampling, which is pur...

Safety assessments of technological systems, such as nuclear power plants, chemical process facilities, and hazardous waste repositories, require the investigation of the occurrence and consequences of rare events. The subjectivistic (Bayesian) theory of probability is the appropriate framework within which expert opinions, which are essential to the quantification process, can be combined with...

Expert judgements are potentially a valuable source of information in land degradation assessment, especially in areas where data paucity impedes the use of quantitative models. However, expert opinions are also much disputed because they are not tested for consistency, abstain from formal documentation, while their quantitative interpretation is inherently unidentifiable. This paper evaluates ...

Expert knowledge is a combination of prior information and subjective opinions based on long-experience; as such it is often not sufficiently objective to produce convincing results in animal habitat suitability index mapping. In this study, an animal habitat assessment method based on a learning neural network is proposed to reduce the level of subjectivity in animal habitat assessments. Based...

This study aims to create a rubric based on the pedagogical properties of educational robots for pre-school students and determine compliance level with robot sets. In this sense, is considered first significant step toward selecting pedagogical-driven factors. For aim, mixed-method research design was employed. A qualitative method used items, development also supported through quantitative pr...

Ideas about lay and expert knowledge increasingly underscore debates within qualitative health research. In this article, the authors develop an exploratory synthesis of two qualitative studies in which they critique the lay-expert divide, suggesting instead a spectrum of knowledge(s) about health and scientific issues. In the original studies, the researchers examined food risks and alternativ...

The purpose of stock portfolio selection is how to allocate the capital to a large number of stocks in order to bring a most profitable return for investors. In most of past literatures, experts considered the portfolio of selection problem only based on past crisp or quantitative data. However, many qualitative and quantitative factors will influence the stock portfolio selection in real inves...

Although expert elicited knowledge and data mining discovered knowledge appear to be completely opposite and competing solutions to the same problems, they are actually complementary concepts. Besides, together they maximize their individual qualities. This chapter highlights how each one profits from the other and illustrates their cooperation in existing systems developed in the medical domai...