Research on the Application of the OSCE Model in Vocational Nursing Comprehensive Practical Training

The objective of this study is to examine the application effect of the Objective Structured Clinical Examination(OSCE)model in the comprehensive practical training course for higher vocational nursing.Based on the evaluation dimensions of core nursing competencies,the OSCE framework was constructed with the clinical nursing work process as the main focus and supported by a nursing case database.A questionnaire survey revealed that over 80%of students in the experimental group were satisfied with the application of OSCE in the nursing comprehensive practical training course,and more than 90%believed that OSCE assessment enhanced their theoretical knowledge and practical skills.The OSCE was also considered helpful in transforming learned knowledge and skills into professional competencies.

Analysis on the results of graduate examination for standardized medical residency training in general hospital---- Takes The First Affiliated Hospital of Kunming Medical University as an example

[ 目的] 对昆明医科大学第一附属医院（ 以下简称昆医附一院）2016 -2017年住院医师规范化培训结 业综合考核结果进行分析和总结,查找培训过程中存在的问题,提出提高住院医师规范化培训质量的建议. [方法] 将云南省住院医师规范化培训管理平台中公布的昆医附-院2016 - 2017年住院医师规范化培训结业综 合考核的结果录入Excel, 按照考试站点各专业考核情况进行分类统计,并对数据进行分析.[结果] 各站点考 试的合格率分别为综合知识部分95.26%,辅助检查部分88.23%,病史采集部分97.64%,体格检查部分 96. 14% ,病例分析部分97.21%,临床操作部分94.21%,门诊病例书写部分97.42%,医患沟通部分98.07%. 各专业综合考核第-阶段的不合格率：最高的为泌尿外科63. 64 %,最低的为内科学6.25%.各专业综合考核 第二阶段的不合格率：最高的为神经内科33.33%,最低的为超声科6. 67 %.[结论] 结业考核结果中,除辅助 检查部分外,其余七站均达到90 %以上的合格率,说明辅助检查判读的部分是该院参培住院医师的薄弱环节, 应加强检查结果判读培训,以确保提高住院医师规范化培训的综合质量.

The Role of the Examination Management for Medical Students in Humanities Education and Training Professional Quality

It has been proved by years of research that if the function of examination management cannot be fully understood or be used effectively, the humanities education and train of professional quality for medical students will not make a fundamental achievement. Because it is not only an academic training but also the examination management and the humanities cultivation have a close connection. The humanities cultivation which is based on the core of virtue requires a good campus environment. Therefore, we should adjust to the medical students＇ humanities quality training requirements, making the targeted reform and innovation of examination management.

Application of Serum CK and BUN Determination in Monitoring Pre-Competition Training of Badminton Athletes

In order to investigate the feasibility of serum creatine kinase （CK） and blood urea nitrogen （BUN） in monitoring pre-competition training of badminton athletes, the pre-competition training load of 20 badminton athletes was studied, and serum CK and BUN were determined before, immediate and next morning after training. The results showed that after intensive training for one week, serum CK levels were significantly increased by 57.53 mmol/L （P〈0.05）. After regulation of the training intensity, average serum CK levels were increased by 21.79 mmol/L （P〈0.05）. BUN contents were increased by 0.83 mmol/L on average with the difference being not significant （P〉0.05）. After intermittent training, there was significant difference in the average increased levels of serum CK in athletes （P〈0.05）. There was significant difference before and after regulation of training （P〈0.05）. The increased levels of BUN were 0.78 mmol/L without significant difference （P〉0.05）. It was concluded that serum CK was one of the biochemical indicators monitoring the training load sensitivity of badminton athletes, but BUN was of little value in monitoring the training load. Both serum CK and BUN recovered slowly after one-week intensive training and intermittent training, suggesting the metabolic mechanism of human body in training needs further study.

Effective distributed convolutional neural network architecture for remote sensing images target classification with a pre-training approach

How to recognize targets with similar appearances from remote sensing images(RSIs) effectively and efficiently has become a big challenge. Recently, convolutional neural network(CNN) is preferred in the target classification due to the powerful feature representation ability and better performance. However,the training and testing of CNN mainly rely on single machine.Single machine has its natural limitation and bottleneck in processing RSIs due to limited hardware resources and huge time consuming. Besides, overfitting is a challenge for the CNN model due to the unbalance between RSIs data and the model structure.When a model is complex or the training data is relatively small,overfitting occurs and leads to a poor predictive performance. To address these problems, a distributed CNN architecture for RSIs target classification is proposed, which dramatically increases the training speed of CNN and system scalability. It improves the storage ability and processing efficiency of RSIs. Furthermore,Bayesian regularization approach is utilized in order to initialize the weights of the CNN extractor, which increases the robustness and flexibility of the CNN model. It helps prevent the overfitting and avoid the local optima caused by limited RSI training images or the inappropriate CNN structure. In addition, considering the efficiency of the Na¨?ve Bayes classifier, a distributed Na¨?ve Bayes classifier is designed to reduce the training cost. Compared with other algorithms, the proposed system and method perform the best and increase the recognition accuracy. The results show that the distributed system framework and the proposed algorithms are suitable for RSIs target classification tasks.

Pre/Post Assessments Analysis in Training Electro-Technical Seafarers Experts

In maritime industry, personnel’s training is considered by shipping companies as a top priority matter on the list of factors affecting competitiveness in operating vessels. This paper presents the importance and the effects of training Electro-Technical Experts in the context of latest developments, particularly the advent of the “Electric Ship” and the “Communicative Ship” analyzing the feedback received from several relevant two-days seminars for “Ship Electrical and Electronic Systems for Electro-Technical Officers”, in North East European countries. The pre-test and post-test self assessment method that has been used for more efficient interaction between trainers and trainees is analyzed using t-statistics. The attendees have had diverse basic backgrounds, yet company experts Fleet Engineers on merchant or war ships. The training’s effectiveness and gain is discussed in this paper and further proposals for the Electrical and Electronic training are presented through the valuable feedback for improvement.

Predictors of Performance of the Maritime Academy of Asia and the Pacific （MAAP） in the OIC Navigational Watch Licensure Examination

Abstract： The study aimed to assess the predictors of performance administered by the Philippine Regulation Commission （PRC） in the licensure examination of Maritime Academy of Asia and the Pacific （MAAP） for Academic Year 2007-2011. Specifically, this also aimed to answer the following questions： demographic profile of the maritime graduates, the college related factors, administrative related factors, the level of scholastic achievement of the graduates, and the performance of the graduates in the licensure examination. A total of one hundred seventy three （173） graduates of MAAP from Class 2007-2011 were utilized as the respondents for the study. The study found out that the results of pre board examination and scholastic achievement of the graduates had significant effect on the performance of the graduates in O.I.C Navigational Watch Licensure Examination. Other variables found out to have no significant effect on the result of the licensure examination of the graduates. Therefore, the null hypotheses that the demographic profile of the graduates, college related factors, and administrative related factors has no significant effect on scholastic the achievement of the students were accepted. However, the null hypothesis that scholastic achievement of the students has no significant effect on the performance in maritime licensure examination was rejected. The same way, the null hypothesis that the demographic profile of the graduates, college related factors and the administrative related factors has no significant effect on the performance in Officer in Charge--Navigational Watch licensure Examination were accepted.

Outcomes of the Expanded Programme on Immunization Pre-Service Training Initiatives in Kenya: A Mixed Methods Study

Background: The Maternal and Child Survival Program of United States Agency for International Development conducted a study in 2017 to assess the outcome of an initiative to strengthen Expanded Programme on Immunization (EPI) pre-service training. The pre-service training initiative was undertaken by the Ministry of Health (MOH) with support from partners in 2012-2016. The overall objective of the study was to assess the adoption and effectiveness of the initiative in the competency (knowledge, skills and attitude) of graduate nurses. Methods: The study included a conveniently selected sample of 14 pre-service training institutions, 23 field practicum sites, and 29 health facilities in western Kenya, and used quantitative and qualitative methods of data collection. Results: All pre-service training institutions were found to have adapted the WHO EPI prototype curriculum. Overall, tutors followed training method in the classroom as suggested in the curriculum, except evaluation of students’ learning lacked tests or quizzes. Students had opportunities for hands-on practical experience in the field practicum sites. Graduate nurses were found to have acquired the skills for vaccinating children. However, some pre-service training institutions lacked functional skills labs for practical learning of students. In addition, students did not receive up-to-date information on EPI program, and lacked knowledge and skills on monitoring and documentation of EPI coverage during preservice training. Conclusions: It appears that the EPI pre-service training strengthening initiatives facilitated competency-based EPI training of nurses in Kenya. However, preservice training institutions still have scope for improvement in the skills lab, hand-washing practice, providing up-to-date information, and training students on coverage monitoring and documentation.

Analysis of the Effect of Systematic Pre-Job Training for Nurses in Isolation Wards during the COVID-19 Pandemic

Objective: To explore the effect of systematic pre-job training for isolation ward nurses during the Corona Virus Disease 2019 (COVID-19) pandemic. Methods: Establish a pre-job training program for the isolation ward for COVID-19, standardize the content of theoretical and skill training, formulate training SOPs, and conduct training for the nurses using online teaching assessment, video teaching, on-site scenario simulation operation drills, as well as real-time protection guidance and supervision. 60 nurses from non-infectious departments temporarily selected by the hospital were trained;the theoretical knowledge scores, quarantine techniques, and nursing quality of nurses before and after the training were compared, and the effect of the intervention was evaluated. Results: The scores of the COVID-19 protection theory test were 81.17 ± 8.46 after the nurses were trained for 3 days. The pass rates of hand hygiene compliance tests and protective clothing putting-on and taking-off practices were 96.67% and 100%, respectively. There was no significant difference between the scores of the COVID-19 protection theory test for the nurses that were trained for 3 days and the scores for the nurses originally at the quarantine zone (81.59 ± 7.59, P > 0.05). The pass rate of hand hygiene compliance and the pass rate of protective clothing putting-on and taking-off practices were significantly improved compared with those before training (81.67% and 56.67% respectively, P < 0.001). The scores of the COVID-19 protection theory test at 30 days of training were 95.67 ± 5.89, which were significantly higher than those at 3 days of training (P < 0.001). The qualified rate of disinfection and quarantine in the first month for the trained nurses entering the isolation ward was 89.47%;compared with that for the nurses originally in the isolation wards (94.7%), there was no significant difference (P > 0.05). The comprehensive nursing ability scores of bedside nurses in the first month of training were 80.14 ± 5.63, which were lower than those of nurses originally in the isolation wards (86.88 ± 4.53, P Conclusion: Systematic pre-job training for nurses in isolation wards can help improve nurses’ knowledge of the COVID-19, self-protection awareness, and protection skills, and can quickly train nurses who are competent for work in isolation wards. It is an important guarantee of “zero infection” for medical staff, and it can quickly and effectively help medical institutions respond to the COVID-19 pandemic in an emergency.

Prefix-LSDPM:面向小样本的在线学习会话退出预测模型

在线学习会话退出预测旨在准确预测在线学习过程中的学习会话退出,是智慧教育领域中十分重要的一项研究任务。针对现有模型在小样本场景下预测准确率较低的问题,提出了基于前缀提示的在线学习会话退出预测模型Prefix-LSDPM。该模型为获取单个学习行为内部特征及连续学习行为之间的隐含关联信息,在改进了键值向量的Transformer网络中对提示形式的合成序列进行掩码学习;为降低模型训练涉及的参数量以适应小样本学习,将学习会话退出预测任务建模形式靠近预训练任务,并在冻结的预训练参数基础上对提示参数进行调优。基于多个数据集的实验结果表明,Prefix-LSDPM的预测准确率优于现有模型,且在小样本学习中仍能达到较好的预测效果。

中医医院新入职本科护士培训考核评价指标的构建

目的 构建中医医院新入职本科护士培训考核评价指标。方法 通过文献研究、小组讨论,建立中医医院新入职本科护士培训考核评价指标初稿,选取来自7个省份的中华护理学会中医中西医结合护理分会的15名专家进行2轮专家咨询,确定考核评价内容及其权重。结果 2轮专家函询问卷的有效回收率均为100%,专家权威系数分别是0.962、0.980,肯德尔协调系数分别是0.220、0.268(均P<0.05),最终形成的中医医院新入职本科护士培训考核评价指标包括5项一级指标、24项二级指标和77项三级指标。结论 构建的中医医院新入职本科护士培训考核评价指标具有较高的可靠性和科学性,可为中医医院管理者及培训者选拔人才提供参考。

农业知识驱动服务技术革新综述与前沿

农业知识驱动服务技术是指运用先进信息技术,科学、高效调配农业领域专业知识服务资源,为农业行业提供智能化知识服务的技术,在解决农业技术服务供需严重失衡等难点问题方面具有重要意义,日益成为支撑农业转型升级和高质量发展的重要引擎,代表着核心研究方向,伴随着技术发展全过程。目前农业行业迫切需要解决的是知识供给严重不足、服务效率不高的问题。农业知识驱动服务技术经历较长时间发展,在知识高效匹配和精准供给方面取得了较大进步,特别是2022年11月以来ChatGPT这类技术的出现,充分展现了超大规模预训练模型在知识智能服务方面的巨大潜力,这也是农业知识驱动服务可以取得突破的关键所在,可以在这方面发挥重要作用。该文在分析农业知识驱动服务相关技术现状的基础上,展望了农业领域可行的知识驱动服务技术路径,预测农业领域知识服务大模型研发构建会呈现参数由少到多、算力由弱趋强、强化训练逐渐加深的特点得到快速发展应用,未来将在专业技术指导、农业“装备-信息-农艺”融合、农业信息系统平台服务总线等方面系统升级现有农业知识服务范式,多模态服务将得到系统融合加深,人机交互模式将向“人性化”方向进一步黏合增强,从而为农业智能化转型升级提供全新的技术支撑,引领农业知识服务从数据检索、语义匹配迈向生成式知识驱动模式转变。

汽车故障知识图谱构建及应用研究

知识图谱技术对汽车高效的故障诊断具有重要的意义,现有汽车故障知识图谱构建存在着实体识别模型效果不佳、无法解决嵌套实体等问题。针对上述问题,通过采用全词掩码的预训练语义模型、加入对抗训练和改进嵌套实体识别模型的方式提高实体识别模型效果,提出了一种改进的嵌套实体识别模型。实验结果表明,所提模型F1值(F_(1))、精确率(P)和召回率(R)相比基线模型分别提高了3.56%、4.08%、3.05%,相比其他模型也有不同程度的提高,验证了所提模型对汽车维修领域实体识别具有显著效果。同时,基于构建的汽车故障知识图谱,实现了汽车故障知识智能问答原型系统,展示了知识图谱技术在汽车故障诊断与维护领域的应用前景。

“经师”与“人师”统一:我国中小学教师职前培养的关键难点

中小学教师职前培养是其职业生涯的主体中心环节,在此过程中强调“经师”与“人师”的统一,是其可否成为教师职业胜任者的重中之重,也是中小学教师职前培养的关键难点。当前我国中小学教师职前培养偏重“经师”,体现出知识本位、技能本位、实践本位等目标取向。实现“经师”与“人师”的统一培养特别是培养“人师”意义重大,培养“人师”不仅是弘扬中华优秀传统文化的内在要义,而且是落实“立德树人”教育根本任务的必然要求,还是新时代建设高质量教师队伍的根本遵循。目前在实现“经师”与“人师”统一过程中,还面临着培养主体育人理念存在错位、培养对象在专业学习过程中功利化倾向较为严重、培养过程的核心维度和关键内容失之偏颇等问题。基于此,中小学教师职前培养应遵循国家聚焦制度政策建设、学校致力培养过程改革、高校教师夯实“人师”培养能力、师范生主动提升“人师”力等多维协同,最终实现“经师”与“人师”的统一培养。

增强提示学习的少样本文本分类方法

针对少样本文本分类任务,提出提示学习增强的分类算法(EPL4FTC)。该算法将文本分类任务转换成基于自然语言推理的提示学习形式,在利用预训练语言模型先验知识的基础上实现隐式数据增强,并通过两种粒度的损失进行优化。为捕获下游任务中含有的类别信息,采用三元组损失联合优化方法,并引入掩码语言模型任务作为正则项,提升模型的泛化能力。在公开的4个中文文本和3个英文文本分类数据集上进行实验评估,结果表明EPL4FTC方法的准确度明显优于所对比的基线方法。

基于BERT-BiLSTM-CRF模型的畜禽疫病文本分词研究

针对畜禽疫病文本语料匮乏、文本内包含大量疫病名称及短语等未登录词问题,提出了一种结合词典匹配的BERT-BiLSTM-CRF畜禽疫病文本分词模型。以羊疫病为研究对象,构建了常见疫病文本数据集,将其与通用语料PKU结合,利用BERT(Bidirectional encoder representation from transformers)预训练语言模型进行文本向量化表示;通过双向长短时记忆网络(Bidirectional long short-term memory network,BiLSTM)获取上下文语义特征;由条件随机场(Conditional random field,CRF)输出全局最优标签序列。基于此,在CRF层后加入畜禽疫病领域词典进行分词匹配修正,减少在分词过程中出现的疫病名称及短语等造成的歧义切分,进一步提高了分词准确率。实验结果表明,结合词典匹配的BERT-BiLSTM-CRF模型在羊常见疫病文本数据集上的F1值为96.38%,与jieba分词器、BiLSTM-Softmax模型、BiLSTM-CRF模型、未结合词典匹配的本文模型相比,分别提升11.01、10.62、8.3、0.72个百分点,验证了方法的有效性。与单一语料相比,通用语料PKU和羊常见疫病文本数据集结合的混合语料,能够同时对畜禽疫病专业术语及疫病文本中常用词进行准确切分,在通用语料及疫病文本数据集上F1值都达到95%以上,具有较好的模型泛化能力。该方法可用于畜禽疫病文本分词。

基于客观结构化临床考试的情景模拟式教学在手术室专科护士培训中的应用

目的探讨基于客观结构化临床考试(objective structured clinical examination,OSCE)的情景模拟式教学在手术室专科护士培训中的应用效果。方法选取参加郑州大学第一附属医院手术室专科护士培训的78名学员为研究对象。按照培训时间先后顺序,将2021年4月-6月参加培训的40名学员作为对照组,将2022年4月-6月参加培训的38名学员作为观察组。对照组采用常规情景模拟式教学,观察组采用基于OSCE的情景模拟式教学,比较2组操作考核成绩、临床思维能力。结果观察组操作考核中患者核查交接、手术体位安置、职业暴露防护的考核成绩均好于对照组(t=4.616,P<0.001;t=3.004,P=0.004;t=3.574,P=0.001),观察组临床思维能力得分高于对照组(t=7.309,P<0.001)。结论将基于OSCE的情景模拟式教学应用于手术室专科护士培训,有助于提高其操作技能和临床思维能力,值得临床推广应用。

教师模拟标准化病人联合临床医师技能培训考试系统教学模式应用于住院医师规范化培训中的效果

目的探讨教师模拟标准化病人(TSP)联合临床医师技能培训考试系统(OSCE)教学模式应用于住院医师规范化培训(以下简称“规培”)中的效果。方法选取2022年8月至2023年8月在潍坊医学院附属医院接受规培的住院医师60名,按随机抽签法分为两组,对照组30名培训过程中应用传统教学模式,研究组30名培训中应用TSP联合OSCE教学模式。比较两组规培医师培训前后的培训效果、综合能力及对规培医师对教学模式认同度。结果研究组培训后的理论、实践操作成绩均高于对照组,差异有统计学意义(P<0.05)。研究组培训后的迷你临床演练评估(Mini-CEX)、批判性思维能力测量表(CTDI-CV)评分均高于对照组,差异有统计学意义(P<0.05)。研究组规培医师对教学模式的认同度高于对照组,差异有统计学意义(P<0.05)。结论TSP联合OSCE教学模式应用于住院医师规培中可有效提升其成绩及综合能力,且规培医师对此教学模式的认同度较高。

人工智能生成内容的著作权客体性思考——兼论作品判定的独创性标准选择

以基于转换器的生成式预训练模型(GPT)为代表的高阶人工智能凭借其强大的智能型内容生成机制,使得内容产品生产中的技术占比不断上升,人的直接投入占比相对下降,传统著作权法作品的独创性要求、权利人本原则等基本理论受到冲击。面对人工智能生成内容(AIGC)可作品性问题,基于自然人智力投入的创造性本质理论和闭合性作品概念显得力不从心。在过程视角下(主观标准),人工智能内容生成过程符合人类创作的思维特征;在结果视角下(客观标准),人工智能生成内容具有著作权作品的外观形式和信息消费功能,符合著作权作品的本质属性。如果人为割裂人工智能生成内容与著作权作品在产生过程和实质作用上的同质关系,强行区分人工智能生成内容和自然人创作作品的法律性质,则有悖著作权法因应技术发展调整信息消费品利益的制度旨趣,最终将导致著作权法律秩序的混乱。

多模态方面级情感分析的多视图交互学习网络

以往的多模态方面级情感分析方法只利用预训练模型的一般文本和图片表示,对方面和观点词相关性的识别不敏感,且不能动态获取图片信息对单词表示的贡献,因而不能充分识别多模态与方面之间的相关性。针对上述问题,提出一种多视图交互学习网络模型。将句子从上下文和句法两个视图上分别提取特征,以便在多模态交互时充分利用到文本的全局特征;对文本、图片和方面之间的关系进行建模,使模型实现多模态交互;同时融合不同模态的交互表示,动态获取视觉信息对文本中每个单词的贡献程度,充分提取模态与方面之间的相关性。最后通过全连接层和Softmax层获取情感分类结果。在两个数据集上进行实验,实验结果表明该模型能够有效增强多模态方面级情感分类的效果。