Address terms are an important resource for conveying relationships.In daily interactions,the use of address terms is unavoidable.Therefore,the choose of address terms is particularly critical to make communicate smoo...Address terms are an important resource for conveying relationships.In daily interactions,the use of address terms is unavoidable.Therefore,the choose of address terms is particularly critical to make communicate smoothly with people.Previous scholars have studied address terms from a wide range of perspectives.But there is not much research on Chinese address terms based on speech act theory,which is put forward by John Langshaw Austin.By observing communicative conversations,several findings have been emerged from the analysis.They are professional title,affectionate address terms,and common address terms.These findings express the existential significance of address terms,which are the premise for people to maximize their illocutionary act when communicating.Correct understanding and grasp of the use of address terms is conductive to unfolding the communicative dialogue more smoothly.展开更多
In the current era of rapid development, excellent culture needs to be inherited and spread to the world. Therefore, it is essential to consider the translation of the 24 solar terms. China persists in the principle o...In the current era of rapid development, excellent culture needs to be inherited and spread to the world. Therefore, it is essential to consider the translation of the 24 solar terms. China persists in the principle of the Belt and Road Initiative, adheres to the guidance of Chinese traditional excellent culture goes global, and enhances the influence of Chinese culture on the words, the culture of the words communicating and developing constantly. This paper analyzes and compares translations of different versions, explores the necessity of translation strategies for translation, then summaries the translation strategy, ultimately figures out the development space, ted texts and promote the exchange of Chinese and foreign cultures.展开更多
目的探索阿尔兹海默病(alzheimer's disease,AD)护理这一领域的研究现状及热点,为今后的研究提供参考和方向。方法通过运用数据分析软件CiteSpace 5.8.R3C对Web of Science核心数据库中2012—2022年期间关于阿尔兹海默病护理的高水...目的探索阿尔兹海默病(alzheimer's disease,AD)护理这一领域的研究现状及热点,为今后的研究提供参考和方向。方法通过运用数据分析软件CiteSpace 5.8.R3C对Web of Science核心数据库中2012—2022年期间关于阿尔兹海默病护理的高水平论文进行文献计量学分析,并进行可视化展示。结果Web of Science核心数据库纳入文献956篇,AD护理研究的需求度和关注度逐年上升,发文量最多的国家是美国(175篇),其次是法国(43篇)和中国(31篇);发文量最多的机构是明尼苏达大学和哈佛医学院(11篇),作者共现分析显示发文量最多的作者是法国科学院院士BRUNO VELLAS,关键词共现分析显示近十年研究热点主要集中在“护理院”“以人为本”和“生存质量”等领域,“长期护理”和“运动疗法”可能成为未来重点研究方向。结论未来研究应注重如何建立长期护理的社会保障机制、推行“以人为本”的人性化护理服务和制定适宜的运动训练项目。展开更多
电离层总电子含量(Total Electron Content,TEC)的监测与预报是空间环境研究的重要内容,对卫星通讯和导航定位等有重要意义.TEC值影响因素较多,很难确定精确物理模型来对其进行预测.本文设计了基于注意力机制的LSTM模型(Att-LSTM),采用...电离层总电子含量(Total Electron Content,TEC)的监测与预报是空间环境研究的重要内容,对卫星通讯和导航定位等有重要意义.TEC值影响因素较多,很难确定精确物理模型来对其进行预测.本文设计了基于注意力机制的LSTM模型(Att-LSTM),采用过去24小时TEC观测数据对未来TEC进行预测.选择北半球东经100°上,每2.5°纬度选择一个位置,共计36个位置来验证本文提出模型的性能,并与主流的深度学习模型如DNN、RNN、LSTM进行对比实验.取得了如下成果:(1)在选定的36个地区未来2小时单点预测上,基于本文的Att-LSTM模型的TEC预测性能明显优于其他对比模型;(2)讨论了纬度对Att-LSTM预测未来2小时TEC值时性能的影响,发现在北纬0°到60°之间,Att-LSTM预测性能随着纬度的升高而略有降低,在北纬62.5°~87.5°之间,模型预测性能出现扰动,预测效果略差;(3)讨论了磁暴期和磁静期模型的预测性能,发现无论是磁暴期还是磁静期,本文模型预测性能均较好;(4)还讨论了对未来多时点预测效果,实验结果表明,本文所提出的模型对未来2、4个小时的预测拟合度R-Square均超过0.95,预测结果比较可靠,对未来6、8、10个小时预测拟合度最高为0.7934,预测拟合度R-Square下降迅速,预测结果不可靠.展开更多
文摘Address terms are an important resource for conveying relationships.In daily interactions,the use of address terms is unavoidable.Therefore,the choose of address terms is particularly critical to make communicate smoothly with people.Previous scholars have studied address terms from a wide range of perspectives.But there is not much research on Chinese address terms based on speech act theory,which is put forward by John Langshaw Austin.By observing communicative conversations,several findings have been emerged from the analysis.They are professional title,affectionate address terms,and common address terms.These findings express the existential significance of address terms,which are the premise for people to maximize their illocutionary act when communicating.Correct understanding and grasp of the use of address terms is conductive to unfolding the communicative dialogue more smoothly.
文摘In the current era of rapid development, excellent culture needs to be inherited and spread to the world. Therefore, it is essential to consider the translation of the 24 solar terms. China persists in the principle of the Belt and Road Initiative, adheres to the guidance of Chinese traditional excellent culture goes global, and enhances the influence of Chinese culture on the words, the culture of the words communicating and developing constantly. This paper analyzes and compares translations of different versions, explores the necessity of translation strategies for translation, then summaries the translation strategy, ultimately figures out the development space, ted texts and promote the exchange of Chinese and foreign cultures.
文摘目的探索阿尔兹海默病(alzheimer's disease,AD)护理这一领域的研究现状及热点,为今后的研究提供参考和方向。方法通过运用数据分析软件CiteSpace 5.8.R3C对Web of Science核心数据库中2012—2022年期间关于阿尔兹海默病护理的高水平论文进行文献计量学分析,并进行可视化展示。结果Web of Science核心数据库纳入文献956篇,AD护理研究的需求度和关注度逐年上升,发文量最多的国家是美国(175篇),其次是法国(43篇)和中国(31篇);发文量最多的机构是明尼苏达大学和哈佛医学院(11篇),作者共现分析显示发文量最多的作者是法国科学院院士BRUNO VELLAS,关键词共现分析显示近十年研究热点主要集中在“护理院”“以人为本”和“生存质量”等领域,“长期护理”和“运动疗法”可能成为未来重点研究方向。结论未来研究应注重如何建立长期护理的社会保障机制、推行“以人为本”的人性化护理服务和制定适宜的运动训练项目。
文摘电离层总电子含量(Total Electron Content,TEC)的监测与预报是空间环境研究的重要内容,对卫星通讯和导航定位等有重要意义.TEC值影响因素较多,很难确定精确物理模型来对其进行预测.本文设计了基于注意力机制的LSTM模型(Att-LSTM),采用过去24小时TEC观测数据对未来TEC进行预测.选择北半球东经100°上,每2.5°纬度选择一个位置,共计36个位置来验证本文提出模型的性能,并与主流的深度学习模型如DNN、RNN、LSTM进行对比实验.取得了如下成果:(1)在选定的36个地区未来2小时单点预测上,基于本文的Att-LSTM模型的TEC预测性能明显优于其他对比模型;(2)讨论了纬度对Att-LSTM预测未来2小时TEC值时性能的影响,发现在北纬0°到60°之间,Att-LSTM预测性能随着纬度的升高而略有降低,在北纬62.5°~87.5°之间,模型预测性能出现扰动,预测效果略差;(3)讨论了磁暴期和磁静期模型的预测性能,发现无论是磁暴期还是磁静期,本文模型预测性能均较好;(4)还讨论了对未来多时点预测效果,实验结果表明,本文所提出的模型对未来2、4个小时的预测拟合度R-Square均超过0.95,预测结果比较可靠,对未来6、8、10个小时预测拟合度最高为0.7934,预测拟合度R-Square下降迅速,预测结果不可靠.
文摘针对无人机长期跟踪过程中尺度变换导致目标丢失和跟踪精度低的问题,提出了一种基于飞蛾扑火优化(moth-flame optimization,MFO)的尺度比例感知空间长期跟踪器。首先,设计了高斯初始化以代替飞蛾扑火优化算法的随机初始化策略,降低优化算法在跟踪过程中的计算复杂度,减少算力浪费;其次,结合快速梯度直方图特征,构建了改进的飞蛾扑火优化跟踪器;然后,为了解决无人机航拍长期跟踪中目标尺度变化的问题,设计了一种自适应尺度变换的判别尺度空间跟踪(discriminative scale space tracking,DSST)算法,进一步提出了一种尺度比例感知空间跟踪器,解决了尺度滤波器中因长宽比固定而导致的跟踪漂移;同时,分析了滤波器响应峰值在各背景下的变化情况,提出了一种能反映环境变化下跟踪置信度的指标,并通过置信度将MFO优化跟踪框架与尺度比例感知空间跟踪器相结合,解决了尺度变化与长期跟踪目标丢失的问题;最后,在无人机长期跟踪数据集上开展了性能验证。结果表明:提出的算法可有效防止漂移现象的发生,提升跟踪效率;与目前跟踪领域中12种同类文献算法进行对比可知,提出的算法精度较高,满足实时性,能够有效解决无人机长期跟踪下的尺度变化及目标丢失等问题。
