浅谈口腔医学硕士研究生科研作图能力的培养

科研作图是展示研究数据的主要形式,也是科研素养的重要体现。口腔医学硕士研究生是接触科学研究的第一站,然而目前的研究生教育环节对科研作图能力缺乏系统性培养,许多研究生在科研作图中存在许多不规范的问题,本文针对这一问题进行初步探讨。本文分析比较了常用作图工具Microsoft Excel、Origin和Graphpad Prism的特点;以学校口腔医学硕士的培养过程为参考,分析目前硕士研究生科研作图方面存在的主要问题及应对策略。发现不同作图软件具有不同的风格特点,当前硕士研究生作图存在风格不统一、拼图不规范、图注不规范等问题,应当根据自身需求合理选择作图工具,提升作图能力。科研作图是科研能力的重要方面,应当加强口腔医学硕士研究生作图能力的培养。     

Continuing education in the child health handbook: an educational software for primary care1

ObjectiveTo present, the process of development and evaluation of an educational software on the Child Health Handbook proposed for the continuing education of primary care nurses and physicians.MethodsQuantitative study of methodological development. For software development, the following steps were followed: definition of objectives; determination of the target audience; choice of pedagogical and theoretical reference for content; content selection and structuring; software development and evaluation by experts (five nurses and four physicians). All responded to an instrument that included four domains: pedagogical; content; functionality; system presentation and usability. The evaluation criteria were arranged on a Likert-type scale. The percentage of agreement and Content Validity Index were used for the quantitative analysis of the degree of agreement, considering a Content Validity Index cutoff point equal to 0.80.ResultsThe overall agreement index, calculated by the arithmetic mean of the Contents Validity Index of the evaluated domains, was 0.96, with scores ranging from 0.90 to 1.00. The average percentage of agreement of the experts per domain was 92.86%, with lower agreement in the content (80.95%), presentation, and usability (90.48%) domains. 100% of percentage of agreement was observed in the pedagogical and functionality domains among the evaluated specialists.ConclusionThe percentage of agreement, Content Validity Index and overall agreement index of the Child Health Handbook educational software in the context of primary care disclosed the software adequacy as an educational resource for continuing education of primary care nurses and physicians. Considering the assessed dimensions, it can also be used by other health professionals and undergraduate students.     

Effect of Day Optimizing Throughput (Dot) Knee Software Implementation on Magnetic Resonance Imaging Workflow Efficiency

PurposeAttempts by magnetic resonance (MR) manufacturers to help imaging centres improve patient throughput has led to the development of more automated acquisition. This software is capable of customizing individual scan alignment; potentially improving imaging efficiency and standardizing protocols. However, substantial investments are required to introduce such systems, potentially deterring their widespread application. This study assessed the implementation costs and reduction in examination durations for automated knee MR imaging (MRI) software.Materials and MethodsResearch activities were performed at a community-based academic centre on a 3-Tesla (3-T) system using Siemens' Day Optimizing Throughput (Dot) knee software. Examination acquisition times were extracted from the system before and after software implementation. Fiscal year 2012/13 finances were used to determine the average hourly cost of MRI utilization. Costs associated with automated software implementation were also calculated. Finally, the number of knee scans required to achieve a positive return on investment using the software was established.Results and DiscussionThe mean (standard deviation, sample size) pre- and post-Dot software scan times were 23.20 (4.18, n = 266) and 21.94 (4.51, n = 59) minutes, respectively, for a routine knee scan and 11.88 (1.60, n = 74) and 11.24 (1.51, n = 27) minutes, respectively, for a fast knee scan. The overall weighted average resulted in a 64-second time savings per automated knee examination. This negligible time savings would be extremely difficult to make use of clinically. Dot simplified 29 unique knee protocols to two, improving the consistency of knee examinations. Current Dot software is not compatible with all patients and therefore has limitations that are a concern among MR technologists.ConclusionAdoption of automated knee systems could assist in standardizing protocols; however, the cost of implementation and difficulty in modifying patient scheduling to reflect the minimal time savings would make a financial return unlikely to occur at small- and medium-sized institutions.     

Building and Exploitation of Learning Curves to Train Radiographer Students in X-Ray CT Image Postprocessing

IntroductionThis study aims to construct learning curves related to the realization of standardized postprocessing by radiographer students and to discuss their exploitation and interest.Materials and MethodsThis study was carried out in 21 French students in their 3rd year of training. Two postprocessing protocols in CT (#1 traumatic shoulder; #2 petrous bone) were repeated 15 times by each student. Each achievement was timed to obtain overall learning curves. The realization accuracy was also assessed for each student at each repetition.ResultsThe learning rates for the two protocols are 63% and 56%, respectively. The number of repetitions to reach the reference time for each protocol is 11 and 12, respectively. In both protocols, the standard deviations are significantly reduced and stabilized during repetitions. The mean accuracy progresses more quickly in protocol #1.DiscussionThe measured learning rates reflect a rapid learning process for each protocol. The analysis of the standard deviations shows that students have reached a homogeneous level. The average times and accuracies measured during the last repetitions show that the group has reached a high level of performance. Building learning curves helps students measure their progress and motivates them.ConclusionObtaining learning curves allows trainers/supervisors to qualify the learning difficulty of a task while motivating students/radiographers. The use of learning curves is inline with the competency-based training paradigm.     

关于高等医学教育管理体制与学制改革的思考

高等医学教育管理体制与学制改革是二十一世纪社会发展的需要。文章阐述了医学教育小规模、长学制、高投入的基本特征,强调了遵循医学教育规律的重要性,分析了医学院在综合性大学的重要地位,医学院与附属医院以及相关院系的关系。文章还依据社会发展的需要和医学教育国际化的趋势,分析了医学教育学制调整的必要性以及学制调整思路。     

关于奥运志愿者精神对党建教育意义的探析——让学生在参与中发现、实现自身的价值

奥运志愿者精神是北京奥运会的宝贵精神遗产。充分发挥奥运志愿者精神的社会教育作用，有利于提升当代大学生的奉献精神，激发其创新能力；同时，奥运志愿者精神也是培育大学生党员的重要载体。     

下前牙桩核冠三维有限元模型的建立

目的：建立桩核冠修复后的下颌中切牙及其牙周支持组织的三维有限元模型。方法：利用薄层CT技术、UG软件与ALGOR软件相结合，对层厚为0．2mm的CT断层影像进行分析处理。结果：模型共有单元45153个，节点27763个，可以根据要求任意旋转、缩放、透视、剖开，进行多种方式观察；并可以按照不同研究目的，对模型进行修改和调整，来模拟不同程度牙槽骨吸收、联冠修复以及各种约束和加载条件下前牙的力学反应。结论：利用薄层CT扫描技术、UG自由曲面功能以及ALGOR软件相结合建立的三维有限元模型，能较精确地模拟临床口腔实际情况，为进一步研究下颌前牙不同牙周情况下的修复奠定了良好的基础。     

Hydra: a C-language environment for real-time DOS multitasking at the bedside

Patient monitoring at the bedside is an inherently parallel job, best handled by multiple individual tasks running concurrently. Cost and diffusion considerations strongly favor the use of PC's at the bedside, but their most widespread operating system, DOS, is not built for multitasking. Hence, a software platform in C language has been prepared, allowing the intermediate programmer to easily write independent modules which will then run simultaneously without conflicts.Such a platform aims at allowing effortless sharing of data among concurrently running processes, while providing strong insulation between tasks, enough to allow multiple copies of any one task to run simultaneously unknown to each other. A cooperative, memory sharing multitasking paradigm has been chosen, which offers fine granularity of timeslicing and low execution overhead at the price of some loss in generality of design.Speed, data exchange capability and number of stackable windows are greater than with commercial packages like Windows or LabWinows. Dynamical reprioritization of tasks is built in, allowing the computerized monitor to focus its attention and resources on urgent tasks.