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The purpose of this study was to identify the personality types of registered nurses in a rural community. An extensive literature review revealed that no studies, utilizing the Myers-Briggs Type Indicator (MBTI) to identify personality types, had been conducted with rural nurses. Jung's Psychological Type Theory was the theoretical framework for the study. The MBTI operationalizes Jung's theory and was utilized to determine the most frequently occurring personality types of the nurses. A descriptive study was conducted at a 68 bed acute care hospital. The sample consisted of 40 experienced registered nurses working in staff positions within the hospital. Sensing, feeling, and judging were the preferred functions of the nurses, consistent with the expected tasks of the direct care giver. The greatest number of nurses were classified as ISFJ (N=9) followed by ENFP (N=6)

This paper describes the coupling of contexts and ontologies for semantic integration in the ECOIN semantic interoperability framework. Ontological terms in ECOIN correspond to multiple related meanings in different contexts. Each ontology includes a context model that describes how a generic ontological term can be modified according to contextual choices to acquire specialized meanings. Although the basic ECOIN concepts have been presented in the past, this paper is the first to show how ECOIN addresses the case of "single-ontology with multiple contexts" with an example of semantic integration using our new prototype implementation.

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The study of personality types gained traction in the early 20th century, when Carl Jung's theory of psychological types attempted to categorize individual differences into the first modern personality typology. Iterating on Jung's theories, the Myers-Briggs Type Indicator (MBTI) tried to categorize each individual into one of sixteen types, with the theory that an individual's personality type manifests in virtually all aspects of their life. This study explores the relationship between an individual's MBTI type and various aspects of their writing style. Using a MBTI-labeled dataset of user posts on a personality forum, three ensemble classifiers were created to predict a user's personality type from their posts with the goal of outperforming existing research as well as outperforming the test-retest reliability of online questionnaire-based personality assessments. With the increasing amount of textual data available today, the creation of an accurate text-based personality classifier would allow for user experience designers and psychologists to better tailor their services for their users.