Status of the Science and Technology Award of the Chinese Nursing Association and analysis of the development trend of nursing research

Aims and objective:This study focuses on the status quo and development trend of nursing research in our country to provide a reference for nursing research workers and improve the development of nursing research in China.Methods:The official website of the Chinese Nursing Association was searched to obtain the total number,category,geographical distribution,and job of project leaders of winning projects of the Chinese Nursing Association Technology Award.Findings were analyzed using webometrics and content analysis approach to understand the“study hotspots,”“study level,”and“development trend”of nursing research in China.Results:The total number of winning projects was 144.Among them,the number of first,second,and third prizes were 8,36,and 100,respectively.Beijing is the area with the largest number of winners(21),followed by Shanghai(17)and Jiangsu(13).Among the winning projects,the top 3 research areas were specialty nursing,nursing management,and nursing education,with percentages of 50%,27%,and 18%,respectively.Among the 144 project leaders,96% were academic or hospital directors and only 4% were ordinary staff.Conclusions:The geographical distribution of winning projects presented a regional concentration trend.The categories of winning projects are diverse,and our country has made great achievements in every category,particularly in specialty nursing.Most of the project leaders were academic or hospital directors.The stumbling block to nursing research is the lack of high-quality research projects with international influence.Future research should learn from the experiences of developed countries,focus on the in-depth refinement of specialty nursing,and highlight the importance of collaboration to coordinate and promote nursing development in all regions.

Research on the Teaching Reform of “Big Data Analysis and Visualization” Course for College Students

Under the background of the big data era,the education of big data majors is undergoing a profound teaching reform and innovation.With the increasing role of big data technology in analysis and decision-making,updating and expanding the teaching content of big data majors has become particularly important.In the era of big data,modern enterprises have put forward new and higher demands for big data talents,which not only include traditional data analysis skills but also knowledge of data visualization and information technology.To address these challenges,big data education needs to reform and innovate in the development and utilization of teaching content,methods,and resources.This paper proposes teaching models and reform methods for big data majors and analyzes corresponding teaching reforms and innovations to meet the requirements of the new development of big data majors.The traditional classroom teaching method is no longer sufficient to meet the learning needs of students,and more dynamic and interactive teaching methods,such as case studies,flipped classrooms,and project-based learning,are becoming increasingly essential.These innovative teaching methods can more effectively cultivate students’practical operation skills and independent thinking while allowing them to better learn advanced knowledge in a real big-data environment.In addition,the paper also discusses the construction of big data processing and analysis platforms,as well as innovative teaching management and evaluation systems to improve teaching quality.

The Evolution of China’s National Innovation System During the 40 Years of Reform and Opening Up

From the perspective of economic system transformations and scientific and technological system reforms, this paper investigates the evolution of China’s national innovation system (NIS) during the 40 years of reform and opening up. It concludes that China’s NIS has evolved from weak to strong, from a follower groping its way onto the track of independent innovation with Chinese characteristics. China’s innovation system has experienced a trajectory from “introduction and imitation of complete sets of technology” to “market for technology and imitative innovation,” to “integrated and secondary innovation” and on to “integrated, secondary, collaborative and original innovation combined.” The path of independent innovation with Chinese characteristics is a natural choice of economic, societal, and technological development in the new era.

Study on Multilevel Fuzzy Synthetical Evaluating Model of Science ＆ Technology Awarding

In order to realize the impersonality, justness, impartiality and rationality in the awarding work of science ＆ technology, it is necessary to establish an evaluating model to make the evaluating course numeric as well as a complete system of evaluating indexes. The theory of fuzzy mathematics is adopted in this paper to establish a multilevel fuzzy synthetical model to quantitate the evaluating index system for science ＆ technology awarding and to provide the scientific decision-making basis for science ＆ technology awarding.

Exploration and Practice of"Double Line and Six Coordination"Teaching Method in the Construction of New Agricultural Science Specialty

Aiming at the main problems existing in the teaching process of new agricultural science,systematic solutions are put forward:(1)creating an agriculture related professional group serving the coordinated development of large-scale operation subjects and small farmers,and fully connecting the coordinated development needs of large-scale operation subjects and small farmers;(2)carrying out all-round agricultural related professional teaching reform,so as to cultivate high-quality talents for the organic connection between small farmers and modern agricultural development;(3)based on agriculture related professional resources,taking multiple measures to improve the social service development ability of secondary vocational schools.

News: Environmental scientists receive National Science and Technology Awards

China’s major achievements in science and technology were publically recognized and celebrated at a recent National Science and Technology Award Conference, held in Beijing on January 8,2019. The National Preeminent Science and Technology Award,the top award, was presented by President Xi Jinping to two outstanding scientists.

Congratulations to 2018 National Science and Technology Awards winners!

Recently, the National Science and Technology Awards Conference held in Beijing on January 2019, we would like to express our sincerest congratulations to the following researchers winning the 2018 national award in the field of traditional Chinese medicine. Xiao wei, A jiye and their team won the second prize in the 2018 National Award for Technological Invention.

Tsinghua Research Achievements Win 23 State Science and Technology Awards

Twenty-three Tsinghua research achievements recently were recognized at the 2008 State Science and Technology Awards. Tsinghua professors accepted the awards on January 9, 2009 at the annual National Science-Technology Award Ceremony in the Great Hall of the People in Beijing.

高层次医学创新人才培养的理论思考和实践举措——基于国家科技奖的实证分析

科技革命带来了医学创新发展新需求,创新之道,唯在得人。国家科技奖代表了一定时期内我国科学技术领域取得的重要突破,其权威性高、荣誉性强。本文通过整理2016—2020年医学领域国家科技奖获奖情况,从获奖数量、获奖地区、获奖主体、学科分布和交叉融合等方面对获奖成果进行分析,从而把握我国医学科技创新的现状与问题,以期为健康中国建设培养高层次医学创新人才提供借鉴与启示。

以融合思政建设为导向的遥感原理与技术课程教学探索

党的二十大中习近平总书记提到,“当代中国青年生逢其时,施展才干的舞台无比广阔,实现梦想的前景无比光明”。而大学生作为新时代中国发展的接班人,对于其思政教育是非常重要的一环。该文旨在建设以融合思政建设为导向,面向空间科学与技术专业学生开设的遥感原理与技术课程教学的探索,分析思政教育的重要性和现如今对于本科思政教育的不足,提出具有思政教育意义的遥感原理与技术课程,此外介绍该想法的实现流程。该文为思政教育与专业课程的结合提供思路,且指明课程教学改革的一个方向。

财政分权的绿色技术创新效应研究

绿色技术创新是实现绿色低碳发展的核心驱动力,明确财政分权在绿色技术创新过程中发挥的作用具有十分重要的现实意义。本文基于中国省级面板数据,运用固定效应模型等多种数据分析方法,实证考察了财政分权对绿色技术创新的影响。研究发现,财政分权抑制了绿色技术创新。财政科学技术支出和环境规制是财政分权抑制绿色技术创新的主要渠道;在低收入地区,财政分权抑制了绿色技术创新,而在中高收入地区,财政分权促进了绿色技术创新。本文为深化我国财政分权体制改革,加快推进绿色技术创新提供了政策启示。

基于中华医学科技奖的我国医院科技成果转化现状分析及思考

目的/意义阐述我国医院科技成果转化及应用现状,为医院临床研究及成果转化工作提供参考。方法/过程以2015—2021年度医院主持获得的502项中华医学科技奖为分析对象,通过科学计量法对医院主持获奖等级、医院类型、区域及主题分布等方面进行分析。结果/结论三级医院、高校附属医院是医院科技研究及成果转化的核心力量;各区域临床研究及转化水平仍存在较大差异,亟须加强跨层级跨区域科技合作,提升成果转化效率;现有研究主要聚焦于我国发病率或死亡率较高的疾病领域,符合实际临床需求,但在重大突发公共卫生事件、罕见病等领域仍有待进一步布局。

河南省职务科技成果赋权改革实践与思考

文章分析了河南省职务科技成果赋权改革基本情况,总结了河南省职务科技成果赋权改革工作取得的阶段性成效,如健全管理机制、建立激励机制、梳理赋权清单、建立负面清单、简化赋权流程等,阐述了河南省职务科技成果赋权改革实践,分析了河南省职务科技成果赋权改革中存在的问题,并从持续强化顶层设计、加大政策宣讲力度、创新职务科技成果赋权模式、创新科技成果转化管理制度及决策机制等方面提出了深化职务科技成果改革的对策建议。

我国新质生产力的赋能逻辑——市场有效与政府有为

新一轮科技革命与产业变革方兴未艾,大国竞争不断升级,发达经济体纷纷加大了产业政策实施力度,旨在促进前沿科技创新和未来产业发展,抢占制高点。面对严峻复杂的国际环境和艰巨繁重的国内改革发展稳定任务,习近平总书记创造性地提出发展新质生产力的重要论断。促进新质生产力的发展需要构建与之相匹配的新型生产关系,进一步推动制度、体制、机制系统集成式改革,在发挥市场配置资源决定性作用的同时更好发挥政府的作用。政府和市场赋能新质生产力不可能是简单的线性关系。如何发挥好政府和市场两种力量不断为发展新质生产力赋能亟须系统性研究。鉴于此,本文从理论逻辑、历史逻辑和实践逻辑3个方面来阐释市场有效与政府有为共同为新质生产力赋能的内在逻辑,并提出相应的建议。

三维框架下非政府科技奖的认同困境与出路——以科技社团奖励为例

认同是科技奖励系统的动力机制,以全国性学会为主的一流科技社团奖励代表着中国非政府科技奖励的较高水准,但外界对其认同程度远不及政府科技奖励,因此限制了科技社团奖励作用的发挥。结合以认同为基础的组织合法性理论,从奖励地位、奖项设立、奖励评审及效应几个方面比较分析国家、行政部门、科研人员和其他社会公众对政府科技奖励与科技社团奖励的认同度,发现不同主体对两种奖励之间的认同度存在互斥与互补并存的非均衡特点。这反映出政府通过法律认同层面的设奖主体地位压制、行政认同层面的设奖权力限制以及社会认同层面的制度高压与功利诱导挤压了科技社团奖励的生存发展空间的问题。基于此,可以加强非政府科技奖励的协同性、社会性、价值性和有效性以提升其外界认同度,进而扩大科技社团等社会力量在科技奖励中与政府互补与共治的空间。

新医科背景下医学影像技术人才培养路径探索

随着全球医疗健康领域的快速发展,医学影像技术已成为疾病诊断和治疗中不可或缺的工具,其发展正受到前沿信息技术,如人工智能的深刻影响,并推动了医学影像技术朝着更高精度、更深层次解析力和更个性化治疗的方向迅速发展。同时,新医科教育改革强调跨学科融合、创新能力的培养和实践技能的提升,为医学影像技术领域的人才培养指明了新方向。文章旨在探讨新医科背景下,医学影像技术人发展趋势和现有人才培养模式存在的问题,同时提出了医学影像技术人才培养的创新策略和培养思考,以期培养出具有创新能力、跨学科知识结构和强大临床实践能力的医学影像技术人才,满足未来医疗健康领域的广泛需求和医学影像技术学科健康发展。

研究生专业课程教学中的课程思政探索

开展和加强研究生专业课教学中的课程思政是适应中国式现代化发展需求、培养新型创新人才的客观要求。在深入分析目前研究生专业课教学特点及课程思政内涵的基础上,提出在研究生专业课教学中开展课程思政的基本原则,以及教学内容和教学方法的设计原则。以激光与核技术课程为例,开展具体教学案例设计和初步的教学实践,实现研究生专业知识教育与思想政治教育的有机融合,收到良好教学效果,为构建面向研究生专业课程教学的课程思政提供一定的借鉴。

人工智能时代公安院校刑事科学技术实验教学改革与探索

随着云计算、大数据、认知科学和机器学习的迅猛发展,以人工智能(AI)为代表的信息技术在教育领域的应用不断深化,以ChatGPT为代表的生成式人工智能(AIGC)对教育领域产生了显著影响。刑事科学技术是公安技术一级学科下的二级学科,具有鲜明的公安特色,是维护社会治安、打击暴力犯罪的重要手段。人工智能时代,刑事科学技术的教学体系,尤其是实验教学正面临智慧化转型,突出体现在学生信息系统应用能力的培养方面。本文分析了刑事科学技术信息化建设的驱动力,剖析了人工智能对刑事科学技术教学产生的影响,提出了人工智能时代刑事科学技术教学改革的路径。为专业课程建设,尤其是实验教学改革提供了具体路径。

聚合物合成工艺学课程思政教学探索

课程思政是高校教改的方向之一,即以立德树人为根本任务,将思政工作、价值引领贯穿于教学全过程。聚合物合成工艺学是工科高分子专业的基础核心课程。该文针对聚合物合成工艺学的课程内容,深度挖掘专业知识中蕴含的思政元素,将思政元素由点到面地融入各章节的专业知识讲授中,从而实现全员全程全方位育人,为高分子合成工业培养具有“家国情怀、国际视野、创新思维、工匠精神”的高素质应用型高级专门人才。

应用实践导向的机器学习导论课程教学探讨

机器学习技术有很强的理论性和实用性。为提高学生对机器学习课程的兴趣和主动性,以计算机科学与技术专业机器学习导论教学为例,探究应用实践导向的机器学习导论课程教学改革,对每个机器学习算法设置对应的应用实践项目,构建1学时机器学习理论知识对应1学时项目实践的教学方式,将机器学习算法融入到实践项目中。教学实践证明,应用实践导向的机器学习导论教学模式能够明显提高理论和实践结合教学方法的效率,提高学生的积极性和主动性,培养学生解决实际问题的能力。