technology foresight is a methodology for making the complexity and advanced nature of new technologies of future more comprehensible and transparent. the objective of this survey is to analyze and interpret weakness and strength of the current situation of iran organizations regarding utilization of foresight activities of developing new technologies and its influence over the country by usin...

The work in this paper introduces finite mixture models that can be used to simultaneously cluster the rows and columns of two-mode ordinal categorical response data, such as those resulting from Likert scale responses. We use the popular proportional odds parameterisation and propose models which provide insights into major patterns in the data. Model-fitting is performed using the EM algorith...

Falls in hospitals are common, therefore strategies to minimize the impact of these events in older patients and needs to be examined. In this pilot study, we investigate a movement monitoring sensor system for identifying bed and chair exits using a wireless wearable sensor worn by hospitalized older patients. We developed a movement monitoring sensor system that recognizes bed and chair exits...

PURPOSE Computer-assisted learning (CAL) tools are often used in medical education as it can complement conventional teaching formats and as an alternative to animal experiments in undergraduate medical students. To identify if there is any benefit of integrating CAL tools with conventional teaching format in pharmacology for a specific topic. MATERIALS AND METHODS Two groups of fourth semest...

Feature Pattern Analysis (FPA), as a part of the theory of data (Coombs, 1964), can be interpreted as a formal model of some procedures frequently applied in the behavioral and social sciences, e.g., for Guttman scaling, Parallelogram Analysis, Likert scaling, the Semantic Differential, and the Kelly Grid. FPA may also be used as a scaling procedure for nominal and ordinal data with qualitative...

BACKGROUND New and inexperienced emergency medical service (EMS) professionals lack important experience. To prevent medical errors and improve retention there is an urgent need to identify ways to support new professionals during their first year in the EMS. METHODS A purposeful sample and snowball technique was used and generated a panel of 32 registered nurses with 12-48 months of EMS expe...