The validity of the isobaric multiplet mass equation(IMME)is of foundamental importance due to the basic concept of isospin.Recently,a serious breakdown was found in the A=54,T=3,isospin septet,the largest isospin sys...The validity of the isobaric multiplet mass equation(IMME)is of foundamental importance due to the basic concept of isospin.Recently,a serious breakdown was found in the A=54,T=3,isospin septet,the largest isospin system where the validity of IMME have been tested up to now.Inspired by this work,I revist the mass of some isobaric analogue states with the help of recent results from advanced mass measurement experiment.It is found that the IMME holds well in A=50 and 46 isospin septet and the coefficients of IMME also follow the systematic trends.Mass excess value for^(50)Ni and^(46)Fe,is predicted to be-3932(20)keV and 898(67)keV,respectively.展开更多
下颌阻生第三磨牙(Impacted Mandibular Third Molar,IMM3)是口腔颌面外科的常见病和多发病,影像学检查对其诊治具有重要意义。近年来,人工智能(Artificial Intelligence,AI)在口腔医学领域的应用取得了突破性进展,尤其是以深度学习(Dee...下颌阻生第三磨牙(Impacted Mandibular Third Molar,IMM3)是口腔颌面外科的常见病和多发病,影像学检查对其诊治具有重要意义。近年来,人工智能(Artificial Intelligence,AI)在口腔医学领域的应用取得了突破性进展,尤其是以深度学习(Deep Learning,DL)为基础的AI可对IMM3及周围解剖结构进行精确识别和分割,不仅使得口腔影像正确解读效率得到了提高,而且还为医生提供了更为直观和精准的诊疗依据。当前,基于DL的AI技术已经成为口腔医学临床的研究热点。为此,本文就近年来基于DL的AI技术在IMM3诊治中的应用进展、存在的挑战及未来发展方向等进行综述,旨在为IMM3诊治提供智能化理论支持和实践指导。展开更多
文摘The validity of the isobaric multiplet mass equation(IMME)is of foundamental importance due to the basic concept of isospin.Recently,a serious breakdown was found in the A=54,T=3,isospin septet,the largest isospin system where the validity of IMME have been tested up to now.Inspired by this work,I revist the mass of some isobaric analogue states with the help of recent results from advanced mass measurement experiment.It is found that the IMME holds well in A=50 and 46 isospin septet and the coefficients of IMME also follow the systematic trends.Mass excess value for^(50)Ni and^(46)Fe,is predicted to be-3932(20)keV and 898(67)keV,respectively.
文摘针对实际水下应用中目标运动状态复杂、频繁切换的问题,本文提出了一种基于交互式多模型(interacting multiple model,IMM)滤波的水下目标定位与跟踪方法,以提高系统在多种运动形式下的鲁棒性与适应能力.该方法联合采用匀速(constant velocity,CV)和匀速转向(constant turning,CT)两种典型水下目标运动模型,并融合不同时刻的观测数据,通过IMM框架实现多模型间的动态切换与联合估计.进一步,针对波达方向和到达时间(direction of arrival-time of arrival,DOA-TOA)估计、结合相邻脉冲到达时间差(time difference of arrival,TDOA)的DOA-TOATDOA估计两类水声观测条件,设计了基于组合运动模型的IMM-无迹卡尔曼滤波(unscented Kalman filter,UKF)水下定位与跟踪算法.蒙特卡洛仿真结果表明,所提方法在多模型适应性与定位精度方面优于传统单一模型算法.此外,通过对实测水下观测数据的处理与分析,验证了该算法在实际水声工程场景中的有效性与可行性.
