用变分法研究相对论性中子物质的基态性质

用变分法研究了相对论性中子物质的基态性质.采用相对论形式的Hamiltonian、相对论性介子交换势、ψ=FΦ形式的变公函数,以及一种特定的关联函数,计算了中子物质的单粒子能量和物态方程,其结果有了明显改进.     

自导作用距离影响因素的分析

本文以声纳方程为核心,探讨诸参数对鱼雷自导作用距离的影响,着重分析 SL,GL,DT 以及鱼雷自噪声 NL 与自导作用距离的关系,并且提出了降低鱼雷自噪声的几种途径。     

碳化钨及其混合物的冲击 Hugoniot数据计算

计算了多孔碳化钨（初始密度分别为密实碳化钨密度的９５％、８５％、７５％和６５％）在不完全压实状态和完全压实状态下的Ｐ_１－Ｖ_１曲线和Ｃｓ－Ｕ１曲线以及碳化钨／碳、碳化钨／碳化硅混合物（碳化钨含量分别为３％,５％,１０％）的Ｐ_１－Ｖ_１曲线和Ｃ_ｓ－Ｕ_１曲线。     

流体力学中基本方程的特征方程及特征曲面

本文根据偏微分方程组的特征理论,讨论可压缩流体力学基本方程的特征方程和特征曲面,同时结合可压缩流体流动的实用例子,阐述确立其特征方程和特征曲面的具体方法。     

重力梯度对超大柔性空间结构在轨动力学特性的影响

空间太阳能电站是一种具有超大和高柔性特征的空间结构,这种空间结构在尺寸上远超以往的航天器,给轨道动力学特性的研究带来了新现象与新问题。以千米量级的哑铃模型为研究对象,考虑重力梯度影响,建立了Hamilton体系下的在轨动力学模型,利用辛龙格库塔法得到了不同参数取值下的动力学响应。通过对比仿真结果,得到了结构尺寸与重力梯度对轨道运动、姿态运动影响的定量关系。仿真结果表明,重力梯度引起了姿态-柔性振动耦合现象,姿态运动影响了结构振动曲线外部包络线样式,而柔性振动改变了姿态运动周期。     

三维半线性波动方程初值问题解的破裂

研究了半线性波动方程初值问题在三维空间中解的生命跨度的上界估计,关于此初值问题的爆破解将被建立。无论多么小的初值,该问题都没有整体解,在前人研究的基础上给出该初值问题解的生命跨度的上界估计。     

Measuring the Impact of Military Spending: How Far Does a DSGE Model Deviate from Reality?

Dunne, Smith, and Willenbockel (2005) argue that the mainstream growth literature has not found military spending to be a significant determinant of economic growth, yet much of the defense economics literature has noted significant effects. This paper revisits this issue by using a DSGE-VAR approach, combining both theoretical and empirical methods. We present that the DSGE approach (estimated with the Bayesian technique) and the Bayesian VAR with the Minnesota Prior both lead to worse in-sample fit than our proposed DSGE-VAR framework. The DSGE-VAR approach reveals that a positive military spending shock boosts the U.S. economy, increasing per capita real GDP growth, consumption, inflation and interest rate. Our results are robust to alternative model specifications. Future investigations such as exploring an optimal military spending policy could adopt the approach in this paper to determine the best model – empirical, theoretical, or a combination of the two.     

Dangerous work: Terrorism against U.S. diplomats

The goal of diplomats is to represent their countries’ interests through diplomacy, not arms. Because they are not military personnel, they may be perceived as at lower risk of being the target of terrorists. However, recent events have called this perception into question. Despite this danger, there has been little research on terrorist attacks against diplomats. Drawing on the terrorism studies literature, this article argues that diplomats are targeted more than non-diplomatic targets in countries where certain U.S. foreign policies are implemented. An empirical analysis of 471 attacks against U.S. diplomats from 1970 to 2011 reveals that while U.S. alliances and foreign aid increase the likelihood of attacks against diplomats, U.S. military intervention and civil war, on the other hand, increase the risk of terrorism against non-diplomatic targets. This finding is relevant because it shows terrorist attacks against diplomats result from certain types of foreign policy.     

The nuclear education of Donald J. Trump

During the 2016 American presidential campaign, Democrats and Republicans alike repeatedly raised concerns at the prospect of Donald Trump being in charge of America’s nuclear arsenal based on his seemingly unstable personality. Unfortunately, this emphasis on Trump’s character distracted attention from any in-depth investigation into his long-standing interest in nuclear issues. This article seeks to remedy this shortcoming by highlighting the nuclear legacy Trump will inherit from Obama, surveying his statements on nuclear issues over more than three decades, and providing an analysis of constraining factors on his administration’s nuclear agenda, particularly domestic institutions. It finds that most of Trump’s views on nuclear issues are relatively consistent with past Republican presidents. Where he is unique, however, is in his use of social media, which has potential implications on nuclear signaling.     

Markovian approximation for manufacturing systems of unreliable machines in tandem

This paper studies production planning of manufacturing systems of unreliable machines in tandem. The manufacturing system considered here produces one type of product. The demand is assumed to be a Poisson process and the processing time for one unit of product in each machine is exponentially distributed. A broken machine is subject to a sequence of repairing processes. The up time and the repairing time in each phase are assumed to be exponentially distributed. We study the manufacturing system by considering each machine as an individual system with stochastic supply and demand. The Markov Modulated Poisson Process (MMPP) is applied to model the process of supply. Numerical examples are given to demonstrate the accuracy of the proposed method. We employ (s, S) policy as production control. Fast algorithms are presented to solve the average running costs of the machine system for a given (s, S) policy and hence the approximated optimal (s, S) policy. © 2001 John Wiley & Sons, Inc. Naval Research Logistics 48: 65–78, 2001