1,721,187 research outputs found

    Exploration of mental readiness for enhancing dentistry in an inter-professional climate

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    Competencies required for dentistry go far beyond the academic or scientific spheres. They incorporate important mental readiness concepts at its core with an appropriate balance of operational readiness (i.e., technical, physical, mental readiness). The aim of this exploratory study was to investigate the importance of mental readiness for optimal performance in the daily challenges faced by dentists using an Operational Readiness Framework. One-on-one interviews were conducted with a select group of seasoned dentists to determine their mental readiness before, during and after successfully performing in challenging situations. Quantitative and qualitative analyses of mental readiness were applied. Study findings were compared with a Wheel of Excellence based on results from other high-performance domains such as surgery, policing, social services and Olympic athletics. The analysis revealed that specific mental practices are required to achieve peak perfor-mance, and the balance between physical, technical and mental readiness underpins these dentists’ competency. Common elements of success were found—commitment, confidence, visualization, mental preparation, focus, distraction control, and evaluation and coping. This exploration confirmed many similarities in mental readiness practices engaged across high-risk professions. Universities, clinics and hospitals are looking for innovative ways to build teamwork and capacity through inter-professional collaboration. Results from these case studies warrant further investigation and may be significant enough to stimulate innovative curriculum design. Based on these preliminary dentistry findings, three training/evaluation tools from other professions in population health were adapted to demonstrate future application

    A phantom study to create synthetic CT from orthogonal twodimensional cine MRI and evaluate the effect of irregular breathing.

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    An exciting innovation in radiotherapy is the use of real-time MRI for treatment adaptation. This study proposes an in-silico framework for the generation of 3D synthetic CT (sCT) from orthogonal interleaved 2D cine MRI data to overcome the lack of electron density information in MR images. The method uses pre-treatment data to build a patient breathing motion model. This model is then driven by surrogates extracted from cine MR images during the treatment. The effect of irregular breathing on the motion model is also evaluated by simulating different motion components related to uncorrelated diaphragm, chest and tumor motion. 3D sCT were successfully created for each of the 512 cine MRI pairs in the digital phantom study. The analysis showed that the diaphragm position was a good surrogate to rescale the 3D breathing motion for the current regular breathing phase. However, respiratory and tumor motion were correlated in only 59% of the phases, resulting in tumor position uncertainties of up to 3mm. The inclusion of additional chest and tumor motion information improved the accuracy for irregular changes in breathing pattern and enhanced the tumor position uncertainties to less than 1mm. This study successfully demonstrated a proof-ofprinciple for a digital phantom dataset based on patient parameters, providing a way to create real-time 3D electron density volumes and enhancing the need to account for irregular breathing pattern

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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