目的通过CiteSpace对生酮饮食治疗癫痫相关文献的地区、机构、期刊、作者、被引次数和关键词进行分析,预测该领域研究最新趋势。方法以Web of Science中2002年—2022年8月13日收录的核心合集数据库为文献来源,应用CiteSpace 5.7.R2进行...目的通过CiteSpace对生酮饮食治疗癫痫相关文献的地区、机构、期刊、作者、被引次数和关键词进行分析,预测该领域研究最新趋势。方法以Web of Science中2002年—2022年8月13日收录的核心合集数据库为文献来源,应用CiteSpace 5.7.R2进行文献可视化分析,并绘制相关可视化图谱。结果筛选后共纳入2193篇文献。目前,生酮饮食治疗癫痫的相关研究处于快速上升阶段。美国是这一领域的主要推动力,提供了34.38%的出版物;中国发文量排第4位。最活跃的机构是约翰霍普金斯大学,引用频率最高的杂志是Cited Journal。共同被引文献最多的是Epilepsia Open杂志的文章。ERIC H KOSSOFF是最多产的作家,也是最常被共同引用的作者。“肠道微生物群”“微生物轴-肠脑轴”“改良阿特金斯饮食”和“基因突变”等为生酮饮食治疗癫痫的研究前沿。研究热点逐渐从局部病变部位扩展到其他部位,如从“大脑”到“微生物轴-肠脑轴”的转变,呈现多学科交叉的发展特点。结论生酮饮食和肠道微生物对癫痫治疗的结合应用是未来必然的发展趋势。展开更多
Binary sensor network(BSN) are becoming more attractive due to the low cost deployment,small size,low energy consumption and simple operation.There are two different ways for target tracking in BSN,the weighted algori...Binary sensor network(BSN) are becoming more attractive due to the low cost deployment,small size,low energy consumption and simple operation.There are two different ways for target tracking in BSN,the weighted algorithms and particle filtering algorithm.The weighted algorithms have good realtime property,however have poor estimation property and some of them does not suit for target’s variable velocity model.The particle filtering algorithm can estimate target's position more accurately with poor realtime property and is not suitable for target’s constant velocity model.In this paper distance weight is adopted to estimate the target’s position,which is different from the existing distance weight in other papers.On the analysis of principle of distance weight (DW),prediction-based distance weighted(PDW) algorithm for target tracking in BSN is proposed.Simulation results proved PDW fits for target's constant and variable velocity models with accurate estimation and good realtime property.展开更多
文摘目的通过CiteSpace对生酮饮食治疗癫痫相关文献的地区、机构、期刊、作者、被引次数和关键词进行分析,预测该领域研究最新趋势。方法以Web of Science中2002年—2022年8月13日收录的核心合集数据库为文献来源,应用CiteSpace 5.7.R2进行文献可视化分析,并绘制相关可视化图谱。结果筛选后共纳入2193篇文献。目前,生酮饮食治疗癫痫的相关研究处于快速上升阶段。美国是这一领域的主要推动力,提供了34.38%的出版物;中国发文量排第4位。最活跃的机构是约翰霍普金斯大学,引用频率最高的杂志是Cited Journal。共同被引文献最多的是Epilepsia Open杂志的文章。ERIC H KOSSOFF是最多产的作家,也是最常被共同引用的作者。“肠道微生物群”“微生物轴-肠脑轴”“改良阿特金斯饮食”和“基因突变”等为生酮饮食治疗癫痫的研究前沿。研究热点逐渐从局部病变部位扩展到其他部位,如从“大脑”到“微生物轴-肠脑轴”的转变,呈现多学科交叉的发展特点。结论生酮饮食和肠道微生物对癫痫治疗的结合应用是未来必然的发展趋势。
基金This work is supported by The National Science Fund for Distinguished Young Scholars （60725105） National Basic Research Program of China （973 Program） （2009CB320404）+5 种基金 Program for Changjiang Scholars and Innovative Research Team in University （IRT0852） The National Natural Science Foundation of China （60972048, 61072068） The Special Fund of State Key Laboratory （ISN01080301） The Major program of National Science and Technology （2009ZX03007- 004） Supported by the 111 Project （B08038） The Key Project of Chinese Ministry of Education （107103）.
文摘Binary sensor network(BSN) are becoming more attractive due to the low cost deployment,small size,low energy consumption and simple operation.There are two different ways for target tracking in BSN,the weighted algorithms and particle filtering algorithm.The weighted algorithms have good realtime property,however have poor estimation property and some of them does not suit for target’s variable velocity model.The particle filtering algorithm can estimate target's position more accurately with poor realtime property and is not suitable for target’s constant velocity model.In this paper distance weight is adopted to estimate the target’s position,which is different from the existing distance weight in other papers.On the analysis of principle of distance weight (DW),prediction-based distance weighted(PDW) algorithm for target tracking in BSN is proposed.Simulation results proved PDW fits for target's constant and variable velocity models with accurate estimation and good realtime property.
