Results 151 to 160 of about 881,665 (318)

Methods for working with problem residents in medical physics residency education

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Medical physics residency training programs may occasionally encounter residents requiring additional intervention beyond normal training efforts. In the literature, these residents are referred to as “problem” residents. While the physician literature on the subject is valuable, this paper specifically focuses on dealing with a problem ...
Christopher J. Watchman, Dandan Zheng
wiley   +1 more source

Learning Ability of SHR and SHRSP in the Water E Maze

, 1990
Takuya Matsuo, Takahide Kihara, Takashi Tanimura   +2 more
openalex   +2 more sources

E-learning trends

, 2004
Het rapport E-learning trends geeft een beknopt overzicht van de trends en ontwikkelingen op het gebied van e-learning specificaties en standaarden bij de industrie en rondom niet-technische onderwerpen zoals copyrights. In het rapport worden 17 trends besproken en vier cases gepresenteerd die inzicht geven in de procesgang rond een aantal thema?s: het
Van Geloven, Michiel, Koper, Rob, Van der Veen, Jan   +2 more
openaire   +4 more sources

Toward a human‐centric co‐design methodology for AI detection of differences between planned and delivered dose in radiotherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Introduction Many artificial intelligence (AI) solutions have been proposed to enhance the radiotherapy (RT) workflow, but limited applications have been implemented to date, suggesting an implementation gap. One contributing factor to this gap is a misalignment between AI systems and their users.
Luca M. Heising, Frank Verhaegen, Stefan G. Scheib, Maria J. G. Jacobs, Carol X. J. Ou, Viola Mottarella, Yin‐Ho Chong, Mariangela Zamburlini, Sebastiaan M. J. J. G. Nijsten, Ans Swinnen, Michel Öllers, Cecile J. A. Wolfs   +11 more
wiley   +1 more source

Creep Characterization of Inconel 718 Lattice Metamaterials Manufactured by Laser Powder Bed Fusion

Advanced Engineering Materials, EarlyView., 2023
Herein, the creep characteristics of additively manufactured Inconel 718 metamaterials are investigated. The creep behavior of metamaterials and the effects of microstructural defects are assessed, and the microstructure defects are accurately captured using Kachanov's creep damage model.
Akash Singh Bhuwal, Yong Pang, Ian Maskery, Ian Ashcroft, Wei Sun, Tao Liu   +5 more
wiley   +1 more source

Development of a Gamification Model for Personalized E-learning [PDF]

arXiv
This study designed a personality-based gamification model for E-learning systems. It also implemented the model and evaluated the performance of the gamification model implemented. These were with a view to developing a model for gamifying personalization of e-learning systems.
arxiv  

Learning to Filter Spam E-Mail: A Comparison of a Naive Bayesian and a Memory-Based Approach

, 2000
Ion Androutsopoulos, Γεώργιος Παλιούρας, Vangelis Karkaletsis, Georgios Sakkis, Constantine D. Spyropoulos, Panagiotis Stamatopoulos   +5 more
openalex   +2 more sources

Adaptive E-Learning GRID Platform [PDF]

, 2002
N. Bogonikolos, Konstantinos C. Giotopoulos, Konstantinos Votis, M. Chrysostalis, Spiridon Likothanassis   +4 more
openalex   +1 more source

Facilitating 1.5T MR‐Linac adoption: Workflow strategies and practical tips

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background MR‐guided radiotherapy (MRgRT) offers new opportunities but also introduces workflow complexities requiring dedicated optimization. Implementing magnetic resonance linear accelerator (MR‐Linac) technology comes with challenges such as prolonged treatment times and workflow integration issues.
Madeline Michel, Zelda Paquier, Christelle Bouchart, Akos Gulyban, Nicolas Jullian, Dirk Van Gestel, Sara Poeta, Nick Reynaert, Philippe Martinive, Robbe Van Den Begin   +9 more
wiley   +1 more source

A Variational Beam Model for Failure of Cellular and Truss‐Based Architected Materials

Advanced Engineering Materials, EarlyView., 2023
Herein, a versatile and efficient beam modeling framework is developed to predict the nonlinear response and failure of cellular, truss‐based, and woven architected materials. It enables the exploration of their design space and the optimization of their mechanical behavior in the nonlinear regime. A variational formulation of a beam model is presented
Konstantinos Karapiperis, Kaoutar Radi, Zifan Wang, Dennis M. Kochmann   +3 more
wiley   +1 more source