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学者姓名：葛樊亮
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Abstract ：
为了把握我国新工科教育领域的研究现状和发展趋势，文章以中国知网数据库中2017—2023年的文献为样本，对该领域的年发文量和代表性研究机构进行统计学分析；同时，运用VOSviewer软件对该领域文献的作者合作网络和热点关键词等进行可视化分析。结果表明：该领域的发展过程大致分为快速增长、平缓增长、缓慢下降三个阶段；研究者之间的合作网络较为分散；天津大学是该领域的核心研究单位，且发文量前20位的研究机构以高校为主；该领域的研究主要围绕教学改革、人才培养、课程思政和实践教学四大主题展开。
Keyword ：
VOSviewer软件 VOSviewer软件 可视化分析 可视化分析 文献计量法 文献计量法 新工科教育 新工科教育
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| GB/T 7714 | 阳富强 , 胡涛 , 黄玉杰 et al. 我国新工科教育领域研究现状和发展趋势的可视化分析 [J]. | 化工高等教育 , 2024 , 41 (01) : 13-21 . |
| MLA | 阳富强 et al. "我国新工科教育领域研究现状和发展趋势的可视化分析" . | 化工高等教育 41 . 01 (2024) : 13-21 . |
| APA | 阳富强 , 胡涛 , 黄玉杰 , 葛樊亮 . 我国新工科教育领域研究现状和发展趋势的可视化分析 . | 化工高等教育 , 2024 , 41 (01) , 13-21 . |
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为减少化工厂风险分析中的主观干预，基于关联规则和贝叶斯网络构建1种数据驱动风险分析模型。该模型涵盖3个任务项，分别为数据集项、关联规则驱动项和贝叶斯网络风险评估项。首先，收集事故报告和事故因素构建事故数据库；其次，将事故数据导入Apriori算法，并根据关联规则的因素相关性确定贝叶斯网络和条件概率表结构；然后，基于事故因素出现频率计算先验概率和条件概率，并采用Fussel-Vesely计算事故因素的敏感度；最后，收集94起危险化学品中毒窒息事故实例，运用数据驱动风险分析模型评估事故因素的影响大小。研究结果可为减少和避免化工事故提供一定参考，有助于提高相关企业的整体安全水平。
Keyword ：
事故数据 事故数据 关联规则 关联规则 数据驱动 数据驱动 贝叶斯网络 贝叶斯网络 风险分析 风险分析
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| GB/T 7714 | 林其彪 , 李鑫 , 葛樊亮 et al. 基于数据驱动贝叶斯网络的化工事故风险分析 [J]. | 中国安全生产科学技术 , 2024 , 20 (04) : 180-185 . |
| MLA | 林其彪 et al. "基于数据驱动贝叶斯网络的化工事故风险分析" . | 中国安全生产科学技术 20 . 04 (2024) : 180-185 . |
| APA | 林其彪 , 李鑫 , 葛樊亮 , 阳富强 . 基于数据驱动贝叶斯网络的化工事故风险分析 . | 中国安全生产科学技术 , 2024 , 20 (04) , 180-185 . |
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应急演练在提高实验室应对突发事件能力方面发挥着重要作用，应急演练脚本是实施应急演练的重要依据，该文提出利用情景构建技术开展应急演练脚本设计。结合对以往演练的梳理、经验总结和实际案例分析，基于情景构建技术提出高校实验室爆炸事故应急演练场景规划构思与构建设计的具体内容，梳理总结出高校实验室应急演练的组织架构和分工，具体描述了高校实验室爆炸事故的演变过程，生成了基于实际案例的实验室爆炸事故应急演练脚本。实验室应急演练脚本提供了实验室爆炸事故的应急场景，可用于实际模拟演练或虚拟演练，并可结合不同案例形成实验室应急演练脚本库，为实验室应急演练提供支持。
Keyword ：
应急演练 应急演练 情景构建 情景构建 爆炸事故 爆炸事故 突发事件 突发事件 高校实验室 高校实验室
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| GB/T 7714 | 阳富强 , 陈星霖 , 程硕 et al. 基于情景构建的高校实验室爆炸事故应急演练与实践 [J]. | 实验技术与管理 , 2024 , 41 (02) : 263-269 . |
| MLA | 阳富强 et al. "基于情景构建的高校实验室爆炸事故应急演练与实践" . | 实验技术与管理 41 . 02 (2024) : 263-269 . |
| APA | 阳富强 , 陈星霖 , 程硕 , 葛樊亮 . 基于情景构建的高校实验室爆炸事故应急演练与实践 . | 实验技术与管理 , 2024 , 41 (02) , 263-269 . |
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This paper aims to investigate the fault arc's arcing process and the arcing electrode's temperature distribution characteristics. A series of 220VAC fault arc experiments were carried out under different currents and electrode materials. The fault arc arcing process is recorded and analyzed, and the temperature distribution of the arcing electrode is revealed. The arcing electrode temperature is used as an indicator of the potential fire hazard caused by the fault arc. The results show that the physical arcing process can be divided into three stages. The arcing electrode temperature rise is mainly caused by the combined effect of the heat conduction from the fault arc and the Joule heat, and the heat conduction from the fault arc plays a dominant role. Different electrode materials have a certain influence on the arc intensity. The melting of metal electrodes affects the intensity and continuity of arc. In the continuous arcing stage, temperature distribution models of the arcing electrode surface and the radial electrode are established. Finally, the arc energy is predicted under different working conditions. The results of this study provide a theoretical basis and scientific guidance for revealing the occurrence and development of arc-type electrical fire accidents.
Keyword ：
Arcing characteristics Arcing characteristics Arcing electrode temperature Arcing electrode temperature Electrical fires Electrical fires Fault arcs Fault arcs Low -voltage electrical circuits Low -voltage electrical circuits
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| GB/T 7714 | Zhang, Mengsi , Ge, Fanliang , Hu, Haowei et al. Experimental research on the fault arc arcing process and electrode temperature distribution of a 220VAC power system [J]. | INTERNATIONAL JOURNAL OF THERMAL SCIENCES , 2024 , 199 . |
| MLA | Zhang, Mengsi et al. "Experimental research on the fault arc arcing process and electrode temperature distribution of a 220VAC power system" . | INTERNATIONAL JOURNAL OF THERMAL SCIENCES 199 (2024) . |
| APA | Zhang, Mengsi , Ge, Fanliang , Hu, Haowei , Ji, Jie . Experimental research on the fault arc arcing process and electrode temperature distribution of a 220VAC power system . | INTERNATIONAL JOURNAL OF THERMAL SCIENCES , 2024 , 199 . |
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Urban gas pipeline networks (UGPN) provide important support for high-quality urbanization. Therefore, it is imperative to analyze and assess the potential failures of UGPN. A novel probabilistic analysis method is proposed for assessing the safety and resilience of UGPN. Firstly, Bow-Tie analysis is used to identify faults. Then, a four-dimensional resilience assessment network is developed. Bayesian network is utilized to model the relationship between the variables, while dynamic Bayesian network is used to consider the dynamic nature of the system. The results of the study show that the proposed model can accurately estimate faults, consequences, and influence paths. Furthermore, the resilience analysis shows that monitoring the objective conditions is crucial and that the initial failure probability of the UGPN decreases from 0.03767 % to 0.01435 % when connected to a resilience network, indicating that considering resilience can effectively improve the reliability and safety of the UGPN. Two application examples are presented in the paper to validate the functionality of the proposed model. The proposed model can be used to set the state of UGPN to predict the probability of occurrence of a specific event and its consequences and to simulate the improvement trend of UGPN based on the direction of focus of future work. © 2024 Elsevier Ltd
Keyword ：
Bayesian networks Bayesian networks Gases Gases Pipelines Pipelines Quality control Quality control Reliability analysis Reliability analysis
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| GB/T 7714 | Chen, Xing-lin , Huang, Zong-hou , Ge, Fan-liang et al. A probabilistic analysis method for evaluating the safety & resilience of urban gas pipeline network [J]. | Reliability Engineering and System Safety , 2024 , 248 . |
| MLA | Chen, Xing-lin et al. "A probabilistic analysis method for evaluating the safety & resilience of urban gas pipeline network" . | Reliability Engineering and System Safety 248 (2024) . |
| APA | Chen, Xing-lin , Huang, Zong-hou , Ge, Fan-liang , Lin, Wei-dong , Yang, Fu-qiang . A probabilistic analysis method for evaluating the safety & resilience of urban gas pipeline network . | Reliability Engineering and System Safety , 2024 , 248 . |
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高校实验室是集聚和培养优秀专业人才、开展高水平科学研究的重要基地，但目前仍面临较多安全管理难题。现以“中科院某研究所高压反应釜爆炸事故”为例，采用PAR事故致因模型开展高校实验室安全管理研究，以安全感知—安全分析—安全应答(PAR)为节点，对实验室建设与管理处、中心实验室、实验室操作主体3个层面进行分析。研究表明，PAR模型能充分发挥安全信息的交流作用，从宏观、中观、微观3个层面进行事故致因分析，为完善实验室事故分析体系等提供有效支撑。本研究对高校实验室安全管理的安全信息分析和风险防控提供参考，对实验室安全管理有一定理论指导意义。
Keyword ：
PAR事故致因模型 PAR事故致因模型 安全信息 安全信息 安全管理 安全管理 高校实验室 高校实验室
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| GB/T 7714 | 阳富强 , 黄宝娇 , 葛樊亮 et al. 高校实验室PAR事故致因模型构建及应用 [J]. | 实验室研究与探索 , 2024 , 43 (07) : 249-253 . |
| MLA | 阳富强 et al. "高校实验室PAR事故致因模型构建及应用" . | 实验室研究与探索 43 . 07 (2024) : 249-253 . |
| APA | 阳富强 , 黄宝娇 , 葛樊亮 , 黄宗侯 . 高校实验室PAR事故致因模型构建及应用 . | 实验室研究与探索 , 2024 , 43 (07) , 249-253 . |
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Forest fires will do great harm to the ecological environment. At present, the most important research field is the study of the causes of forest fires, and the failure to determine the causes will greatly hinder the prevention, control and safety management of forest fires. In order to solve this problem, this paper constructs a Bayesian network to calculate the state probability and sensitivity after determining the factors related to forest fire. Secondly, on the basis of constructing Bayesian network, the Bow-tie model is constructed according to the consequences of forest fire. The constructed Bow-tie model contains 7 influencing factors and 5 consequences, and 26 corresponding control measures. Finally, through the analysis of Bayesian network and bow tie model, the forest fire prevention system is constructed. According to the calculation results of the Bayesian network, the probability of forest fires being at high risk of occurrence is higher for three factors: agriculture, forestry and water expenditure, rural population density and precipitation. Changes in rural population density and humidity have the greatest impact on the occurrence of forest fires. In combination with the Bow-tie model, human factors are the most important factors leading to the occurrence of forest fires, and the material, environmental, and management factors are the secondary factors. Based on the forest control system, the prevention and management measures are put forward. This research can provide reference for the control of forest fire and reduce the occurrence of similar forest fires.
Keyword ：
Bayesian network Bayesian network Bow-tie model Bow-tie model Causal analysis Causal analysis Forest fire Forest fire Management measures Management measures
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| GB/T 7714 | Li, Shi-yi , Li, Xin , Yang, Fu-qiang et al. Etiological study on forest fire accidents using Bow-tie model and Bayesian network [J]. | NATURAL HAZARDS , 2024 . |
| MLA | Li, Shi-yi et al. "Etiological study on forest fire accidents using Bow-tie model and Bayesian network" . | NATURAL HAZARDS (2024) . |
| APA | Li, Shi-yi , Li, Xin , Yang, Fu-qiang , Ge, Fan-liang . Etiological study on forest fire accidents using Bow-tie model and Bayesian network . | NATURAL HAZARDS , 2024 . |
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课程思政建设是落实立德树人根本任务的重要举措，在培养新时代高素质专业人才方面发挥着重要作用。文章剖析了安全工程专业课程思政建设中存在的问题，通过深入挖掘思政要素进行安全工程专业课程思政教学要点设计；针对安全工程专业实用性强、社会责任重的专业属性，以教育、专业、创新、实践、成效五个维度为着力点，构建了闭环式“五维一体”课程思政建设思路，以期实现从“育人”到“成果”的全过程课程思政建设，助力安全工程专业高素质人才的培养。
Keyword ：
五维一体 五维一体 安全工程 安全工程 教学设计 教学设计 课程思政 课程思政
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| GB/T 7714 | 阳富强 , 黄宝娇 , 黄宗侯 et al. 安全工程专业课程思政“五维一体”建设路径探索 [J]. | 化工高等教育 , 2024 , 41 (03) : 149-156 . |
| MLA | 阳富强 et al. "安全工程专业课程思政“五维一体”建设路径探索" . | 化工高等教育 41 . 03 (2024) : 149-156 . |
| APA | 阳富强 , 黄宝娇 , 黄宗侯 , 葛樊亮 . 安全工程专业课程思政“五维一体”建设路径探索 . | 化工高等教育 , 2024 , 41 (03) , 149-156 . |
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Direct application of high-sulfur fuels and ores can cause environmental pollution (such as air pollution and acid rain) and, in serious cases, endanger human health and contribute to property damage. In the background of preserving the environment, microbial desulfurization technologies for high-sulfur fuels and ores are rapidly developed. This paper aims to reveal the progress of microbial desulfurization research on fuels and ores using bibliometric analysis. 910 publications on microbial desulfurization of fuels and ores from web core databases were collected in this work, spanning 39 years. Through 910 retrieved documents, collaborative networks of authors, institutions and countries were mapped by this work, the sources of highly cited articles and cited documents were statistically analyzed, and keyword development from different perspectives was discussed. The results of the study provide a reference for microbial desulfurization research and benefit environmental protection and energy green applications.
Keyword ：
Bibliometric analysis Bibliometric analysis Environmental protection Environmental protection High-sulfur fuels and ores High-sulfur fuels and ores Microbial desulfurization Microbial desulfurization Web core databases Web core databases
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| GB/T 7714 | Li, Xin , Yang, Fuqiang , Zhao, Jiale et al. Mapping the knowledge domain of microbial desulfurization application in fuels and ores for sustainable industry [J]. | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH , 2023 , 30 (53) : 113151-113174 . |
| MLA | Li, Xin et al. "Mapping the knowledge domain of microbial desulfurization application in fuels and ores for sustainable industry" . | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 30 . 53 (2023) : 113151-113174 . |
| APA | Li, Xin , Yang, Fuqiang , Zhao, Jiale , Ge, Fanliang . Mapping the knowledge domain of microbial desulfurization application in fuels and ores for sustainable industry . | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH , 2023 , 30 (53) , 113151-113174 . |
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为提高实验室安全管理水平并有效控制高校师生的不安全行为，该文使用靶向干预法管控不安全行为，包括数据分析、节点定位和策略实现三个步骤。首先，从131起高校实验室事故中收集时间、行为个体、实验室种类和不安全行为的数据信息；然后，使用关联规则分析各个维度之间的潜在联系，并定位强关联规则节点；最后，对定位节点提出10项具体的干预措施，为高校实验室安全管理提供参考依据。研究表明：实验室事故多发生在化学实验室，原因主要为实验人员操作失误和未正确佩戴安全防护用品；此外，事故多发生在学生活动模式变化较大的时间节点。
Keyword ：
不安全行为 不安全行为 关联规则 关联规则 安全管理 安全管理 靶向干预方法 靶向干预方法 高校实验室 高校实验室
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| GB/T 7714 | 阳富强 , 王艺钦 , 葛樊亮 et al. 高校实验室不安全行为靶向干预策略研究 [J]. | 实验技术与管理 , 2023 , 40 (10) : 217-222 . |
| MLA | 阳富强 et al. "高校实验室不安全行为靶向干预策略研究" . | 实验技术与管理 40 . 10 (2023) : 217-222 . |
| APA | 阳富强 , 王艺钦 , 葛樊亮 , 蔡剑英 . 高校实验室不安全行为靶向干预策略研究 . | 实验技术与管理 , 2023 , 40 (10) , 217-222 . |
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