Strategies for Improving the Effectiveness of Professional Practice for Full-Time Professional Master Degree Postgraduate in Mineral Processing Engineering

In order to gain practical experience and hands-on skills,full-time professional master degree postgraduate in mineral processing engineering should engage in professional practices.Nonetheless,a series of problems,including insufficient time for practice,low management level,inadequate implementation of the double-supervisor system,and poor results of professional practice,has reduced the effectiveness of professional practice.In view of the aforementioned problems and the characteristics of the discipline,this paper proposes several strategies for improving the effectiveness of professional practice for postgraduates in mineral processing engineering.

Consideration of Postgraduate Training under the Cross Field of Medical Information and Engineering

The slogan of“Combination of medicine and engineering”proposed in“Made in China 2025”has aroused great attention to higher engineering education.However,it is a difficult problem and challenge for schools and educators to effectively adapt to the economic and social development,train new medical and engineering talents,and explore and cultivate new subject growth points.In order to deal with engineering change and a new round of scientific and technological revolution,facing the challenge of new engineering construction.This paper will combine the reality and characteristics of colleges and universities,analyze the problems existing in the current medical engineering cross-graduate training,and put forward countermeasures and suggestions to promote the progress and development of science and technology in colleges and universities.

MEDICAL ENGINEERING COOPERATIVE STUDY OF EVENT-RELATED BRAIN POTENTIAL N400 IN PATIENTS WITH BIPOLAR DEPRESSION

Objective:To explore the difference and its clinical significance of event-related potential N400 in patients with bipolar depression,unipolar depression and schizophrenia Methods:It was N400 detection for 24 cases of bipolar depression,25 cases of unipolar depression,26 cases of schizophrenia and 28 healthy adults.All were tested with China Runjie WJ-1 ERP Instrument,congruent ending words of Chinese idioms(matching)and incongruent ending words of Chinese idioms(mismatching)mode.Results:(1)Compared with healthy adults in the control group,N400 latencies were prolonged in Cz brain regions and amplitudes were decreased period of three groups of patients before taking the medicine.(2)The delay in latencies and the decrease in amplitude of schizophrenia N400 were negatively correlated with the PANSS total score of the neuropsychological scale.(3)The abnormal degree of N400 in bipolar depression group was between unipolar depression group and schizophrenia group.Conclusions:We initially believe that(1)the bipolar depression group may be an intermediate state between unipolar depression and schizophrenia.(2)Bipolar depression with psychotic symptoms may have specific language barriers and N400 abnormalities.(3)After the next ERP follow-up,N400 can be used as a laboratory aid for identifying unipolar depression,bipolar depression and schizophrenia.

Writing strategies for improving the access of medical literature

When conducting a literature review,medical authors typically search for relevant keywords in bibliographic databases or on search engines like Google.After selecting the most pertinent article based on the title’s relevance and the abstract’s content,they download or purchase the article and cite it in their manuscript.Three major elements influence whether an article will be cited in future manuscripts:the keywords,the title,and the abstract.This indicates that these elements are the“key dissemination tools”for research papers.If these three elements are not determined judiciously by authors,it may adversely affect the manuscript’s retrievability,readability,and citation index,which can negatively impact both the author and the journal.In this article,we share our informed perspective on writing strategies to enhance the searchability and citation of medical articles.These strategies are adopted from the principles of search engine optimization,but they do not aim to cheat or manipulate the search engine.Instead,they adopt a reader-centric content writing methodology that targets well-researched keywords to the readers who are searching for them.Reputable journals,such as Nature and the British Medical Journal,emphasize“online searchability”in their author guidelines.We hope that this article will encourage medical authors to approach manuscript drafting from the perspective of“looking inside-out.”In other words,they should not only draft manuscripts around what they want to convey to fellow researchers but also integrate what the readers want to discover.It is a call-to-action to better understand and engage search engine algorithms,so they yield information in a desired and self-learning manner because the“Cloud”is the new stakeholder.

Design of Fine Life Cycle Prediction System for Failure of Medical Equipment

The inquiry process of traditional medical equipment maintenance management is complex,which has a negative impact on the efficiency and accuracy of medical equipment maintenance management and results in a significant amount of wasted time and resources.To properly predict the failure of medical equipment,a method for failure life cycle prediction of medical equipment was developed.The system is divided into four modules:the whole life cycle management module constructs the life cycle data set of medical devices from the three parts of the management in the early stage,the middle stage,and the later stage;the status detection module monitors the main operation data of the medical device components through the normal value of the relevant sensitive data in the whole life cycle management module;and the main function of the fault diagnosis module is based on the normal value of the relevant sensitive data in the whole life cycle management module.The inference machine diagnoses the operation data of the equipment;the fault prediction module constructs a fine prediction system based on the least square support vector machine algorithm and uses the AFS-ABC algorithm to optimize the model to obtain the optimal model with the regularized parameters and width parameters;the optimal model is then used to predict the failure of medical equipment.Comparative experiments are designed to determine whether or not the design system is effective.The results demonstrate that the suggested system accurately predicts the breakdown of ECG diagnostic equipment and incubators and has a high level of support and dependability.The design system has the minimum prediction error and the quickest program execution time compared to the comparison system.Hence,the design system is able to accurately predict the numerous causes and types of medical device failure.

Visible Light-Induced 3D Bioprinting Technologies and Corresponding Bioink Materials for Tissue Engineering: A Review

Three-dimensional(3D)bioprinting based on traditional 3D printing is an emerging technology that is used to precisely assemble biocompatible materials and cells or bioactive factors into advanced tissue engineering solutions.Similar technology,particularly photo-cured bioprinting strategies,plays an important role in the field of tissue engineering research.The successful implementation of 3D bioprinting is based on the properties of photopolymerized materials.Photocrosslinkable hydrogel is an attractive biomaterial that is polymerized rapidly and enables process control in space and time.Photopolymerization is frequently initiated by ultraviolet(UV)or visible light.However,UV light may cause cell damage and thereby,affect cell viability.Thus,visible light is considered to be more biocompatible than UV light for bioprinting.In this review,we provide an overview of photo curing-based bioprinting technologies,and describe a visible light crosslinkable bioink,including its crosslinking mechanisms,types of visible light initiator,and biomedical applications.We also discuss existing challenges and prospects of visible light-induced 3D bioprinting devices and hydrogels in biomedical areas.

Preparation of rare-earth-modified medical stone powders and their application as conductive fillers

Traditional metal conductive fillers are expensive and prone to oxidation. Thus, the development of new conductive powders as fillers is urgently needed. A novel gaseous penetration technology was adopted to prepare La-doped medical stone powders(La-MSPs), which are inexpensive mesoporous materials, as a new kind of conductive filler material. The prepared La-MSPs attained a resistivity of 450 ?·m and were used as a filler to prepare conductive coatings with epoxy resin as the resin matrix. The influence of the La-MSPs dosage on the resistance and hardness of the coatings was also determined. The resistance and the hardness both decreased with increasing filler dosage. Finally, the optimum recipe of the conductive coatings with the most suitable fillers dosage(55 wt%) was obtained. The hardness and resistance of the coatings with 55 wt% La-MSPs were HV 4 and 5.5 × 10~7 ?, respectively.

Discussion on Management Model of Medical Equipment Maintenance in Hospital

With the development of technology, medical equipment plays a more important role in the modern hospital. Medical equipment provides images, physiological results or other schematics of the patients to help doctors deal with the routines. It is also the major tool to the lab assistant in the clinical teaching and studies. It becomes one of a symbol of the technological level in modern hospital. The director of the hospital should establish an effi cacious management pattern to manage the medical equipment, so that it will be operated in good condition to insure the safety of the patients. Since the maintenance is an important part of medical equipment management, it is significant that the hospital should establish a system to fit for itself. The study reviews the issues in hospital medical equipment maintenance management, the development of the maintenance management model and the characteristics, as well as the status at home and abroad. The research has been fi nished by using literature research method, questionnaire survey method and data analysis method. Then we analyze the current status of hospital medical equipment maintenance management model to fi nd the problems. Based on the authentic and effective data from the survey, we can deduce the overview about the maintenance model in Beijing. The paper discusses the advantages and the disadvantages between the different model, and it makes suggestions on the follow aspects, such as system management, quality management, personnel management, cost management, information management perspective.

BMRMIA:A Platform for Radiologists to Systematically Learn Automated Medical Image Analysis by Three Dimensional Medical Decision Support System

Contribution:This paper designs a learning and training platform that can systematically help radiologists learn automated medical image analysis technology.The platform can help radiologists master deep learning theories and medical applications such as the three-dimensional medical decision support system,and strengthen the teaching practice of deep learning related courses in hospitals,so as to help doctors better understand deep learning knowledge and improve the efficiency of auxiliary diagnosis.Background:In recent years,deep learning has been widely used in academia,industry,andmedicine.An increasing number of companies are starting to recruit a large number of professionals in the field of deep learning.Increasing numbers of colleges and universities also offer courses related to deep learning to help radiologists learn automated medical image analysis techniques.For now,however,there is no practical training platform that can help radiologists learn automated medical image analysis systematically.ApplicationDesign:The platform proposes the basic learning,model combat,business application(BMR)concept,including the learning guidance system and the assessment training system,which constitutes a closed-loop learning guidance mode of“learning-assessment-training-learning”.Findings:The survey results show that most of radiologists met their learning expectations by using this platform.The platform can help radiologists master deep learning techniques quickly,comprehensively and firmly.

面向医工交叉人才培养的基础医学实验教学改革

“基础医学实验”是医工交叉人才培养“基础医学教育”环节中的一门核心专业类课程,而当前的基础医学实验教学模式并不适用于“医工交叉”的人才培养,亟须改革。借鉴我国现有基础医学实验教学模式,基于实验动物福利3R原则,“一鼠多用”,将解剖生理学与细胞生物学、生物化学、遗传学、形态学和免疫组织化学等实验进行整合,形成整合类实验项目,减少实验动物用量;引入虚拟实验,结合翻转课堂,以虚代实;将实验动物伦理纳入理论讲解范畴并通过教师的示范、在实验动物中心设立“小动物信箱”等方式,增强学生对于生命的敬畏。改革经验为国内工科院校医工交叉人才培养环节中基础医学实验课程的开设提供参考。

面向创新创业的智能医学工程实习教学探索

以实践教学体系为基础,依托实践教学基地,采用“两面向三结合”的教学模式,并贯通式地融入课程思政元素。“两面向三结合”是指面向创新创业素质培养,在理论培训中将技术原理与企业运营知识相结合;在实践过程中将车间实习和项目研究相结合;在实习中将理论培训与实践过程相结合。教学实践表明,该实习教学方法有利于增强学生的动手能力,提高学生的创新能力,强化学生的创业意识,培养学生的职业精神,达到了预期效果。

案例教学法在有限元分析课程的探索与实践

目的有限元分析课程是一门理论和实践并重的课程,旨在提高学生的实操能力和解决问题的能力。医学相关专业学生的数理基础相对薄弱,为此,教研组将案例教学法引入有限元分析课程的教学,以提高教学效果。方法教研组结合教学大纲、学生的专业特点及作者的科研工作积累,建立了5个与医学问题相关的有限元分析教学案例、1个细胞生物力学教学案例及1个流固耦合教学案例,配备了包括几何模型建立、力学特性设置、载荷及边界条件的施加、结果分析等内容的分析流程及操作视频。然后,教研组将教学案例引入有限元分析课堂,教师组织学生对分析流程中的参数设置等进行讨论,并对案例进行总结。结果通过学生对自拟题目的有限元分析展示检验教学效果,结果表明学生能独立完成问题的有限元分析,可以对参数进行合理设置,并对结果进行查看和正确解读。结论有限元案例教学的实施,提高了学生的相关软件操作技能,加深了对有限元方法理论和参数设置的理解,使学生基本具备了通过有限元方法解决医学问题的能力,为后期的科研和临床工作奠定了一定的基础。

“新工科”背景下生物医学工程类专业课程思政教学实践——以“有源医疗设备与检测评价”课程为例

“新工科”建设背景对工科课程建设提出了新要求,凸显了工科课程思政建设的紧迫性与必要性。结合“新工科”建设人才培养的目标与生物医学工程类专业课程的特征,该文构建了“新工科”背景下生物医学工程类专业课程思政的“3+5+N”模式:坚持理论性与实践性相统一、价值性与知识性相统一和问题导向与目标导向相统一的原则,树立融合新兴技术、融入发展格局、融通多方资源、融聚各方力量和融汇使命责任的理念,将N种教学方式有机结合。作为生物医学工程专业的一门专业技术课程,“有源医疗设备与检测评价”运用“3+5+N”模式开展教学实践,实现了该课程肩负的价值塑造、知识传授和能力培养的统一,对“新工科”背景下生物医学工程类专业课程思政教学实践提供了参考。

新医科与新工科融合背景下医学统计课程教学探索及实践

在健康中国建设以及新医科建设的大背景下,为临床医学和公共卫生提供实验设计和统计分析方法的医学统计课程的教学面临诸多困境,需要新的探索与实践。基于在医学统计学和实验设计方面的多年教学实践与经验,系统分析当前医学统计教学效果不佳的主要原因包括如下几个方面,医学教育对医学统计的重视程度不够、教材和教师与教学需求相关性弱、教学模式单一和学生主动学习和兴趣较低。并提出“六位一体”的教学改革思路和教学实践,包括增强思政教育和增加对医学统计学的重视程度、明确新医科背景下医学专业对医学统计的新需求、优化教师知识体系、修订教学内容、改革教学方法和强化过程管理等,以满足新医科建设的医学统计课程教学改革思路与措施。

新医科理念下的智能医学工程专业人才培养模式探究

本文基于新医科背景下的产出导向理念,探讨“医工融合”学科交叉为特征的智能医学工程专业人才培养体系建设问题。以桂林医学院智能医学工程专业为例,对人才培养方案、课程体系建设、师资队伍、“医工融合”实训平台等方面进行系统阐述,探索地方医学院校“医工融合”应用型人才培养的新路径,在“新医科”与“新工科”时代背景下,不断提升人才培养质量。

我国医疗装备创新发展回顾和展望

医疗装备产业是卫生健康事业的重要基础,事关人民群众生命健康和高质量发展全局。我国连续颁布《“十四五”医疗装备产业发展规划》《医疗装备产业高质量发展行动计划(2023-2025年)》等重要产业政策文件,医疗装备创新发展取得积极成效,高端医疗装备竞相涌现,关键零部件加速突破,应用示范步伐加快,医工协同创新活力尽显,装备保障能力不断提升。从《“十四五”医疗装备产业发展规划》制定和执行的视角,梳理总结进入新时代我国医疗装备创新发展取得的成就并分析存在的问题,对未来发展进行展望和提出建议。

生物医学工程类专业课程实践教学改革

针对生物医学工程类专业课程建设和教学中存在着医学与工学融合不足、学生工程能力薄弱、电子信息特色彰显不突出等急需解决的问题,以“医学电子仪器设计”课程为例,践行“以人为本、产出导向”和“新工科建设”的教学理念,打破课程边界,推进新技术嵌入。通过课程的实践教学创新,“面向人民生命健康,加强医工交叉融合”的医学电子仪器设计理念深深扎根于学生心中。

基于色彩聚类的老年病房色彩设计研究

目的基于感性工学理论,以K-Means色彩聚类为基础获取老年病房患者的色彩感性意象评价。方法首先搜集并筛选现代医院老年病房设计案例,通过K-Means聚类方法进行色彩提取以建立老年病房色彩样本库;其次运用语义差异法量化老年病房色彩的感性意象认知,再将所得评价结果运用SPSS软件进行因子分析;最后,提取影响色彩意象评价的主因子,并探讨各感性意象与色彩样本之间的对应关系。结果通过量化老年病房患者的色彩感性意象认知,可知老年患者更倾向于选择中高明度、暖色调的色彩作为病房空间的主要色彩。结论该流程能获取科学、客观的色彩搭配方案,并有助于缓解老年患者的疾病压力,促进康复过程,同时也为医疗环境设计领域提供了新的思路和方法。

医工结合视域下创新创业人才培养模式研究

随着人工智能、大数据等新技术与医疗健康领域的日趋结合,医工结合正在成为创新驱动卫生与健康事业发展的先导力量,医学与工学领域亟须培养一批具备学科交叉融合特质、创新与创业能力突出的复合型人才,助力科技的创新、突破与发展。基于此,首先指出了现阶段“双创”教育存在的三个问题,提出构建文化生态体系、保障体系、课程体系、指导体系、实战体系、孵化体系、评价体系“七位一体”的全方位大学生“双创”教育体系,就医工结合交叉视域下创新创业人才培养机制的建设提出了系列思路及方法。

基于校企医协同育人的康复工程综合实践教学改革探究

康复工程人才培养过程中,实践和创新能力的培养尤为重要。“康复工程综合实践”是一门重要的康复工程专业实践课程。文章结合专业特色,回顾课程建设历程,通过校企医协同育人,实施课程教学改革多项新举措:创新模块化教学、优化教材、科教融合和多样化过程考核,提升实践教学质量,进一步在实践教学中全面培养学生的实践能力、创新能力、职业素养等综合素质,从而解决传统教学模式缺乏紧密贴合社会需求和行业发展的课程内容,与当前康复工程产业高速发展不相适应的问题,为老龄化社会培养高素质的康复工程专业人才。