Results 41 to 50 of about 126,210 (380)

Usefulness of the DETECT program for assessing the internal structure of dimensionality in simulated data and results of the Korean nursing licensing examination [PDF]

open access: yesJournal of Educational Evaluation for Health Professions, 2017
Purpose The dimensionality of examinations provides empirical evidence of the internal test structure underlying the responses to a set of items. In turn, the internal structure is an important piece of evidence of the validity of an examination.
Dong Gi Seo, Younyoung Choi, Sun Huh
doaj   +1 more source

Analysis of licensure examination anxiety and its influencing factors among undergraduate nursing students

open access: yesJournal of Integrative Nursing, 2021
Background: Examination anxiety is a concern for educational policymakers because of the impact it can have on the overall outcome of the performance of the candidates who partake in such examinations.
Doreen Asantewa ABEASI   +1 more
doaj   +1 more source

Non-parametric Bayesian mixture model to study adverse events of COVID-19 vaccines [PDF]

open access: yesarXiv, 2023
The vaccine adverse event reporting system (VAERS) is a vital resource for post-licensure vaccine safety monitoring and has played a key role in assessing the safety of COVID-19 vaccines. However it is difficult to properly identify rare adverse events (AEs) associated with vaccines due to small or zero counts.
arxiv  

SOME ASPECTS OF LEGAL REGULATION OF SUSPENDING A LICENSE ISSUED TO LEGAL ENTITY

open access: yesГуманитарные и юридические исследования, 2021
The article examines the legal nature of suspending a license issued to a legal entity. The author views the suspension of a license issued to a legal entity as administrative-recovery measures.
B. Y. Dzhamirze
doaj  

“Telepsychiatry: Lessons from the COVID-19 pandemic”

open access: yesEuropean Psychiatry, 2021
Introduction Under the umbrella of e-Mental Health (eMH), Telepsychiatry (TP) keeps its place as the oldest and best-documented application. Legislative issues, and the concerns related to the quality of care and patient safety, have kept TP from ...
D. Mucic
doaj   +1 more source

Factors Associated with Licensure Examination Performance of Radiologic Technology Graduates

open access: yesIMCC Journal of Science, 2021
The purpose of this study is to investigate the factors influencing the licensure examination performance of Radiologic Technology (RT) graduates in a private higher education institution (HEI) in Northern Mindanao, Philippines. A retrospective study was
Franz Roi Talaroc   +2 more
doaj  

Would I Trust or Will I Trust? The Gap between Entrustment Determinations and Entrustment Decisions for Trainees in Pharmacy and Other Health Professions

open access: yesPharmacy, 2023
Entrustable Professional Activities (EPAs) and entrustment decision making are rapidly becoming mainstream in competency-based education in the health professions.
Olle ten Cate, Jennie B. Jarrett
doaj   +1 more source

How might Driver Licensing and Vehicle Registration evolve if we adopt Autonomous Cars and Digital Identification? [PDF]

open access: yesarXiv, 2022
It has been said that fewer or greater numbers of driver's licenses may be issued in future. However, when we extrapolate based on comparisons to other transport domains that have high levels of automation like aviation, the future for driver's licenses may not be so up in the air.
arxiv  

Meta‐Virtuality: Strategies of Disembeddedness in Virtual Interiorities

open access: yesJournal of Interior Design, EarlyView., 2022
ABSTRACT To reclaim their seat in the rapidly growing market of virtual space, designers of the built environment can benefit from reevaluating theories that see the virtual as a mere extension/reflection of the physical. By claiming ontological autonomy from external worlds, the virtual is liberated from the hegemonic control of the physical.
Vahid Vahdat
wiley   +1 more source

The Case Records of ChatGPT: Language Models and Complex Clinical Questions [PDF]

open access: yesarXiv, 2023
Background: Artificial intelligence language models have shown promise in various applications, including assisting with clinical decision-making as demonstrated by strong performance of large language models on medical licensure exams. However, their ability to solve complex, open-ended cases, which may be representative of clinical practice, remains ...
arxiv  

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