目的通过对近十年Janus激酶(Janus kinase,JAK)/信号转导和转录激活因子(signal transducer and activator of transcription,STAT)信号通路对类风湿关节炎作用的文献进行多软件可视化分析,总结该领域发展趋势和研究热点,为研究者提供...目的通过对近十年Janus激酶(Janus kinase,JAK)/信号转导和转录激活因子(signal transducer and activator of transcription,STAT)信号通路对类风湿关节炎作用的文献进行多软件可视化分析,总结该领域发展趋势和研究热点,为研究者提供新的方向和思路,促进该领域创新性发展。方法收集Web of Science Core Collection数据库2013至2023年JAK/STAT信号通路在类风湿关节炎中的相关文献。利用CiteSpace和VOSviewer软件对检索到的354篇文章的发文量、国家、作者、关键词进行分析。结果该领域发文量持续增加,根据作者研究方向、高频词的呈现及对前言和热点的关注,提示该领域聚焦于基因表达、免疫机制、炎症机制、途径抑制剂、药物治疗等。未来研究将围绕通路抑制剂、抗风湿药物的安全性、机制、对照试验等展开。结论JAK/STAT信号通路对类风湿关节炎影响的研究在过去、现在乃至未来关注度高,研究价值大。各团队对该领域的研究存在差异,区域发展不平衡,提示应加强合作与交流、聚焦国际前沿、开展更多高质量研究,以推动该领域的发展和进步,为临床提供依据。展开更多
This contribution describes the use of chromatic techniques for quantifying signatures of partial discharges(PD).A brief description of the basis of chromatic monitoring is given along with explanations of how the app...This contribution describes the use of chromatic techniques for quantifying signatures of partial discharges(PD).A brief description of the basis of chromatic monitoring is given along with explanations of how the approach may be applied for addressing signals produced by PDs.Laboratory test data from several sources for different types of PDs,operating conditions and geometries have been subjected to the chromatic procedures.These include a point-plane gap,a sphere in a liquid and treeing in a cable.Chromatic changes in PD signals have been investigated as a function of the amplitude of the alternating voltage producing the PD,the time duration before full electrical breakdown and for different forms of PDs.Results of the chromatic processing of these data are presented in the form of a number of chromatic maps relating to different quarter cycles of the alternating voltage producing the PDs.The results show the potential of the chromatic techniques for indicating the likelihood of full electrical breakdown and for distinguishing between certain forms of PDs.A summary of the chromatic processing procedures is presented for producing chromatic maps and for adaptation in further exploring PD signal features.展开更多
The Boreal forest is a terrestrial ecosystem highly vulnerable to the impacts of short-term climate and weather variabilities. Detecting abrupt, rapid climate-induced changes in fire weather and related changes in fir...The Boreal forest is a terrestrial ecosystem highly vulnerable to the impacts of short-term climate and weather variabilities. Detecting abrupt, rapid climate-induced changes in fire weather and related changes in fire seasonality can provide important insights to assessing impacts of climate change on forestry. This paper, taking the Sakha Republic of Russia as study area, aims to suggest an approach for detecting signals indicating climate-induced changes in fire weather to express recent fire weather variability by using short-term ranks of major meteorological parameters such as air temperature and atmospheric precipitation. Climate data from the “Global Summary of the Day Product” of NOAA (the United States National Oceanic and Atmospheric Administration) for 1996 to 2018 were used to investigate meteorological parameters that drive fire activity. The detection of the climate change signals is made through a 4-step analysis. First, we used descriptive statistics to grasp monthly, annual, seasonal and peak fire period characteristics of fire weather. Then we computed historical normals for WMO reference period, 1961-1990, and the most recent 30-year period for comparison with the current means. The variability of fire weather is analyzed using standard deviation, coefficient of variation, percentage departures from historical normals, percentage departures from the mean, and precipitation concentration index. Inconsistency and abrupt changes in the evolution of fire weather are assessed using homogeneity analysis whilst a Mann-Kendall test is used to detect significant trends in the time series. The results indicate a significant increase of temperature during spring and fall months, which extends the fire season and potentially contributes to increase of burned areas. We again detected a significant rainfall shortage in September which extended the fire season. Furthermore, this study suggests a new approach in statistical methods appropriate for the detection of climate change signals on fire weather variability using short-term climate ranks and evaluation of its impact on fire seasonality and activity.展开更多
文摘目的通过对近十年Janus激酶(Janus kinase,JAK)/信号转导和转录激活因子(signal transducer and activator of transcription,STAT)信号通路对类风湿关节炎作用的文献进行多软件可视化分析,总结该领域发展趋势和研究热点,为研究者提供新的方向和思路,促进该领域创新性发展。方法收集Web of Science Core Collection数据库2013至2023年JAK/STAT信号通路在类风湿关节炎中的相关文献。利用CiteSpace和VOSviewer软件对检索到的354篇文章的发文量、国家、作者、关键词进行分析。结果该领域发文量持续增加,根据作者研究方向、高频词的呈现及对前言和热点的关注,提示该领域聚焦于基因表达、免疫机制、炎症机制、途径抑制剂、药物治疗等。未来研究将围绕通路抑制剂、抗风湿药物的安全性、机制、对照试验等展开。结论JAK/STAT信号通路对类风湿关节炎影响的研究在过去、现在乃至未来关注度高,研究价值大。各团队对该领域的研究存在差异,区域发展不平衡,提示应加强合作与交流、聚焦国际前沿、开展更多高质量研究,以推动该领域的发展和进步,为临床提供依据。
文摘This contribution describes the use of chromatic techniques for quantifying signatures of partial discharges(PD).A brief description of the basis of chromatic monitoring is given along with explanations of how the approach may be applied for addressing signals produced by PDs.Laboratory test data from several sources for different types of PDs,operating conditions and geometries have been subjected to the chromatic procedures.These include a point-plane gap,a sphere in a liquid and treeing in a cable.Chromatic changes in PD signals have been investigated as a function of the amplitude of the alternating voltage producing the PD,the time duration before full electrical breakdown and for different forms of PDs.Results of the chromatic processing of these data are presented in the form of a number of chromatic maps relating to different quarter cycles of the alternating voltage producing the PDs.The results show the potential of the chromatic techniques for indicating the likelihood of full electrical breakdown and for distinguishing between certain forms of PDs.A summary of the chromatic processing procedures is presented for producing chromatic maps and for adaptation in further exploring PD signal features.
文摘The Boreal forest is a terrestrial ecosystem highly vulnerable to the impacts of short-term climate and weather variabilities. Detecting abrupt, rapid climate-induced changes in fire weather and related changes in fire seasonality can provide important insights to assessing impacts of climate change on forestry. This paper, taking the Sakha Republic of Russia as study area, aims to suggest an approach for detecting signals indicating climate-induced changes in fire weather to express recent fire weather variability by using short-term ranks of major meteorological parameters such as air temperature and atmospheric precipitation. Climate data from the “Global Summary of the Day Product” of NOAA (the United States National Oceanic and Atmospheric Administration) for 1996 to 2018 were used to investigate meteorological parameters that drive fire activity. The detection of the climate change signals is made through a 4-step analysis. First, we used descriptive statistics to grasp monthly, annual, seasonal and peak fire period characteristics of fire weather. Then we computed historical normals for WMO reference period, 1961-1990, and the most recent 30-year period for comparison with the current means. The variability of fire weather is analyzed using standard deviation, coefficient of variation, percentage departures from historical normals, percentage departures from the mean, and precipitation concentration index. Inconsistency and abrupt changes in the evolution of fire weather are assessed using homogeneity analysis whilst a Mann-Kendall test is used to detect significant trends in the time series. The results indicate a significant increase of temperature during spring and fall months, which extends the fire season and potentially contributes to increase of burned areas. We again detected a significant rainfall shortage in September which extended the fire season. Furthermore, this study suggests a new approach in statistical methods appropriate for the detection of climate change signals on fire weather variability using short-term climate ranks and evaluation of its impact on fire seasonality and activity.
