THE DEFENCE SPENDING–EXTERNAL DEBT NEXUS IN ETHIOPIA

The aim of this paper is to examine the impact of defence spending and income on the evolution of Ethiopia’s external debt over the period 1970–2005. Using the bounds test approach to cointegration and Granger causality tests, we find a long run and a causal relationship between external debt, defence spending and income. Defence spending had a positive and a significant impact on the stock of external debt while income had a negative and a statistically significant impact on external debt. Our findings suggest that an increase in defence spending contributes to the accumulation of Ethiopia’s external debt, while an increase in economic growth helps Ethiopia to reduce its external debt.     

基于ANP的装备保障转型影响因素分析

针对装备保障转型影响因素众多、转型重要程度难以确定等问题,分析了保障转型外部和内部影响因素,建立了保障转型影响因素ANP模型,利用ANP方法对装备保障转型影响因素进行了权重确定,为确定装备保障转型影响因素重要性程度提供了一种定量化分析方法,明确了装备保障转型应优先重点解决的关键问题．     

合成射流影响因素

在综合国外大量实验和数值模拟数据的基础上 ,对影响合成射流特性的驱动因素、结构因素进行了分析和总结 ,并且通过数值模拟的方法对雷诺数以及斯托罗哈数对合成射流的影响进行了研究。获得了反映合成射流激励器特征的函数关系式 ,为激励器的初步设计提供指导     

Defence budgets in the post-Cold War era: a spatial econometrics approach

This paper examines the determinants of national defence budgets in the post-Cold War era employing a spatial econometric framework. Using data for 124 countries over a 16-year time period, I examine spatial relationships in defence spending to investigate how countries account for the military spending of other countries when setting their budgets. Using specially developed weighting matrices, the regression results indicate that defence budgets are positively spatially correlated. These results provide support for the use of ‘external’ factors when examining defence budgets over this time period. The importance of a country’s spatial location when setting its budget is further examined through the identification of regions of high and low defence spending.     

双变因子LMS自适应滤波算法

为提高最小均方(LMS)自适应滤波算法的性能,在步长因子与误差信号满足一种改进的Sigmoid函数关系式的基础上,提出了一种双变因子控制下的变步长LMS自适应滤波算法。该算法具有初始状态收敛速度快、稳定状态均方误差小、抗噪声性能好、适应系统跃变能力强的优点。计算机仿真结果验证了该算法的优越性。     

介子跃迁形状因子的重夸克极限和1/m_Q修正

在BS理论框架下,对0~-→0~-和0~-→1~-(0~-和1~-分别代表赝标介子和矢量介子)跃迁的形状因子进行模型无关的分析.结果表明BS框架既能给出重夸克极限下的自旋—味对称性,又能给出重夸克有效理论关于1/m_Q修正的Luke定理及其它关系.     

细致的描写 深刻的思想──“The Sampler”浅析

大学英语第一册里的“Ｔｈｅ Ｓａｍｐｌｅｒ”是一篇不可多得的佳作。它不仅胜在细致、准确、到位的描写,而且胜在其深刻的思想性。本文拟从语言因素分析其文体色彩,通过其揭示的社会问题即西方社会老年人的境遇来探讨其思想性。     

基层消防部队审计工作存在的问题及对策

受各方面因素的影响,目前基层消防部队开展的审计项目主要是以经济责任审计为主。基建工程项目审计主要委托地方中介机构办理,审计的项目和手段单一,效能作用发挥不明显。为此,提出了改进和加强基层消防部队审计工作的几点对策。     

兵团高校教师成长制约因素调研与分析

教师队伍能否健康成长直接影响高校教育事业的发展并问接影响地方经济的发展。本文通过对新疆生产建设兵团四所高校教师的调研并对调研的结果进行了统计分析，找出目前影响兵团高校教师队伍成长的制约因素，进而提出解决影响兵团高校教师成长的对策。     

The SSA-BP-based potential threat prediction for aerial target considering commander emotion

The target's threat prediction is an essential procedure for the situation analysis in an aerial defense system. However, the traditional threat prediction methods mostly ignore the effect of commander's emotion. They only predict a target's present threat from the target's features itself, which leads to their poor ability in a complex situation. To aerial targets, this paper proposes a method for its potential threat prediction considering commander emotion (PTP-CE) that uses the Bi-directional LSTM (BiLSTM) network and the backpropagation neural network (BP) optimized by the sparrow search algorithm (SSA). Furthermore, we use the BiLSTM to predict the target's future state from real-time series data, and then adopt the SSA-BP to combine the target's state with the commander's emotion to establish a threat prediction model. Therefore, the target's potential threat level can be obtained by this threat prediction model from the predicted future state and the recognized emotion. The experimental results show that the PTP-CE is efficient for aerial target's state prediction and threat prediction, regardless of commander's emotional effect.