935 resultados para EDUCATION, MEDICAL, UNDERGRADUATION
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Shipping list no.: 89-752-P.
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Mode of access: Internet.
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Mode of access: Internet.
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Bibliographical footnotes.
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Mode of access: Internet.
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1973 not published
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This study examined the predictive merits of selected cognitive and noncognitive variables on the national Registry exam pass rate using 2008 graduates (n = 175) from community college radiography programs in Florida. The independent variables included two GPAs, final grades in five radiography courses, self-efficacy, and social support. The dependent variable was the first-attempt results on the national Registry exam. The design was a retrospective predictive study that relied on academic data collected from participants using the self-report method and on perceptions of students' success on the national Registry exam collected through a questionnaire developed and piloted in the study. All independent variables except self-efficacy and social support correlated with success on the national Registry exam ( p < .01) using the Pearson Product-Moment Correlation analysis. The strongest predictor of the national Registry exam success was the end-of-program GPA, r = .550, p < .001. The GPAs and scores for self-efficacy and social support were entered into a logistic regression analysis to produce a prediction model. The end-of-program GPA (p = .015) emerged as a significant variable. This model predicted 44% of the students who failed the national Registry exam and 97.3% of those who passed, explaining 45.8% of the variance. A second model included the final grades for the radiography courses, self efficacy, and social support. Three courses significantly predicted national Registry exam success; Radiographic Exposures, p < .001; Radiologic Physics, p = .014; and Radiation Safety & Protection, p = .044, explaining 56.8% of the variance. This model predicted 64% of the students who failed the national Registry exam and 96% of those who passed. The findings support the use of in-program data as accurate predictors of success on the national Registry exam.
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With the recent explosion in the complexity and amount of digital multimedia data, there has been a huge impact on the operations of various organizations in distinct areas, such as government services, education, medical care, business, entertainment, etc. To satisfy the growing demand of multimedia data management systems, an integrated framework called DIMUSE is proposed and deployed for distributed multimedia applications to offer a full scope of multimedia related tools and provide appealing experiences for the users. This research mainly focuses on video database modeling and retrieval by addressing a set of core challenges. First, a comprehensive multimedia database modeling mechanism called Hierarchical Markov Model Mediator (HMMM) is proposed to model high dimensional media data including video objects, low-level visual/audio features, as well as historical access patterns and frequencies. The associated retrieval and ranking algorithms are designed to support not only the general queries, but also the complicated temporal event pattern queries. Second, system training and learning methodologies are incorporated such that user interests are mined efficiently to improve the retrieval performance. Third, video clustering techniques are proposed to continuously increase the searching speed and accuracy by architecting a more efficient multimedia database structure. A distributed video management and retrieval system is designed and implemented to demonstrate the overall performance. The proposed approach is further customized for a mobile-based video retrieval system to solve the perception subjectivity issue by considering individual user's profile. Moreover, to deal with security and privacy issues and concerns in distributed multimedia applications, DIMUSE also incorporates a practical framework called SMARXO, which supports multilevel multimedia security control. SMARXO efficiently combines role-based access control (RBAC), XML and object-relational database management system (ORDBMS) to achieve the target of proficient security control. A distributed multimedia management system named DMMManager (Distributed MultiMedia Manager) is developed with the proposed framework DEMUR; to support multimedia capturing, analysis, retrieval, authoring and presentation in one single framework.
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OBJECTIVE: To pilot test if Orthopaedic Surgery residents could self-assess their performance using newly created milestones, as defined by the Accreditation Council on Graduate Medical Education. METHODS: In June 2012, an email was sent to Program Directors and administrative coordinators of the 154 accredited Orthopaedic Surgery Programs, asking them to send their residents a link to an online survey. The survey was adapted from the Orthopaedic Surgery Milestone Project. Completed surveys were aggregated in an anonymous, confidential database. SAS 9.3 was used to perform the analyses. RESULTS: Responses from 71 residents were analyzed. First and second year residents indicated through self-assessment that they had substantially achieved Level 1 and Level 2 milestones. Third year residents reported they had substantially achieved 30/41, and fourth year residents, all Level 3 milestones. Fifth year, graduating residents, reported they had substantially achieved 17 Level 4 milestones, and were extremely close on another 15. No milestone was rated at Level 5, the maximum possible. Earlier in training, Patient Care and Medical Knowledge milestones were rated lower than the milestones reflecting the other four competencies of Practice Based Learning and Improvement, Systems Based Practice, Professionalism, and Interpersonal Communication. The gap was closed by the fourth year. CONCLUSIONS: Residents were able to successfully self-assess using the 41 Orthopaedic Surgery milestones. Respondents' rate improved proficiency over time. Graduating residents report they have substantially, or close to substantially, achieved all Level 4 milestones. Milestone self-assessment may be a useful tool as one component of a program's overall performance assessment strategy.
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This year is the 10th anniversary of the European Academy of Allergy and Clinical Immunology (EAACI) Junior Members and Affiliates (JMAs). The aim of this review is to highlight the work and activities of EAACI JMAs. To this end, we have summarized all the initiatives taken by JMAs during the last 10 yr. EAACI JMAs are currently a group of over 2380 clinicians and scientists under the age of 35 yr, who support the continuous education of the Academy's younger members. For the past decade, JMAs enjoy a steadily increasing number of benefits such as free online access to the Academy's journals, the possibility to apply for Fellowships and the Mentorship Program, travel grants to attend scientific meetings, and many more. In addition, JMAs have been involved in task forces, cooperation schemes with other scientific bodies, organization of JMA focused sessions during EAACI meetings, and participation in the activities of EAACI communication platforms. EAACI JMA activities represent an ideal example of recruiting, training, and educating young scientists in order for them to thrive as future experts in their field. This model may serve as a prototype for other scientific communities, several of which have already adapted similar policies.
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Der vorliegende Aufsatz beschäftigt sich mit der Konzeption von Lern-Informationssystemen (LIS) unter besonderer Berücksichtigung der Verknüpfung von systematischem und fallorientiertem Lernen. Lern-Informationssysteme heben sich strukturell und funktional deutlich von den Lern-Managementsystemen (LMS) ab. Während ein LMS die administrativen Funktionalitäten stark betont, sehen die LIS ihren Schwerpunkt in der flexiblen und größtenteils dynamischen Bereitstellung von unterschiedlichen Anwendungsszenarien für den Lernenden. Erreicht wird die Dynamik und Flexibilität durch die Grundkonstrukte des LIS, die so genannten Module. Module enthalten neben dem zu vermittelnden Wissen Vor- und Nachbedingungen als logische Beschreibungen ihrer Inhalte bzw. der Voraussetzung ihrer Anwendbarkeit. Der Aufbau eines LIS wird anhand eines bestehenden und eingesetzten Lernsystems zum Thema der koronaren Herzkrankheit erklärt. Neben einer kurzen Einführung in die Theorie der LIS werden Anwendungsszenarien für systematisches Lernen und die Darstellung von Fällen und deren Verbindung zu Wissenseinheiten dargestellt. Für die Repräsentation der Daten eines Falles wird zurück gegriffen auf das an der Universität Regensburg entwickelte Fall-Schema MedicCaseML.(DIPF/Orig.)
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MeduMobile ist ein im Rahmen der Ausschreibung „Notebook-University“ vom bmb+f gefördertes Projekt. Ziel des Projektes ist es, die Ausbildung am Krankenbett im Medizinstudium zu verbessern, indem bestimmte Lehrveranstaltungen mit Hilfe von WLAN und Notebook ubiquitär auf dem Campus verfügbar gemacht werden. Hierzu werden neue, so genannte OnCall-Lehrszenarien entwickelt und erprobt, bei denen die auf Abruf bereit stehenden Medizinstudierenden alarmiert und zur Teilnahme gebeten werden, wenn akute und/oder seltene Fälle in die Klinik eingeliefert werden. Die Studierenden nehmen aktiv an den vielfach interdisziplinären Lehrveranstaltungen teil. Der Unterricht findet vor, während und nach der Live-Session statt. Der Hochschullehrer und die Studierenden können den Fall gemeinsam besprechen und die Diagnose bzw. Therapie u.a. an Hand bildgebender Verfahren (CT, Mikroskop, Röntgen, Ultraschall, ...) erarbeiten. Parallel dazu können die Studierenden Lehrmaterialen aus multimedialen Datenbanken, Medline und Internet nutzen sowie eigene Videokonferenzen für die Gruppenarbeit einsetzen. Eine solche Lehrveranstaltung kann somit mehrere didaktische Elemente beinhalten: instruktives, konstruktives, kognitives und kooperatives Lernen. An der Erprobung nehmen etwa 80 Studierende an Veranstaltungen aus 8 Fachgebieten teil. Es werden Studien zur Evaluation des didaktischen Mehrwerts sowie technischer und organisatorischer Qualität durchgeführt. Endgültige Ergebnisse werden Ende 2003 vorliegen.(DIPF/Orig.)
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Background: Medical education and training can contribute to the development of depressive symptoms that might lead to possible academic and professional consequences. We aimed to investigate the characteristics of depressive symptoms among 481 medical students (79.8% of the total who matriculated). Methods: The Beck Depression Inventory (BDI) and cluster analyses were used in order to better describe the characteristics of depressive symptoms. Medical education and training in Brazil is divided into basic (1(st) and 2(nd) years), intermediate (3(rd) and 4(th) years), and internship (5(th) and 6(th) years) periods. The study organized each item from the BDI into the following three clusters: affective, cognitive, and somatic. Statistical analyses were performed using analysis of variance (ANOVA) with post-hoc Tukey corrected for multiple comparisons. Results: There were 184 (38.2%) students with depressive symptoms (BDI > 9). The internship period resulted in the highest BDI scores in comparison to both the basic (p < .001) and intermediate (p < .001) periods. Affective, cognitive, and somatic clusters were significantly higher in the internship period. An exploratory analysis of possible risk factors showed that females (p = .020) not having a parent who practiced medicine (p = .016), and the internship period (p = .001) were factors for the development of depressive symptoms. Conclusion: There is a high prevalence towards depressive symptoms among medical students, particularly females, in the internship level, mainly involving the somatic and affective clusters, and not having a parent who practiced medicine. The active assessment of these students in evaluating their depressive symptoms is important in order to prevent the development of co-morbidities and suicide risk.