A neural network measurement of relative military security ‐ the case of Greece and Cyprus

I demonstrate the existence of two sources of contestability in the military aerospace market, within producing and export countries, through the State’s triple role as unique buyer, regulator and seller. For the producing countries, I introduce the new concept, ‘sovereignty price’; that is, the profit a State agrees to grant to its defence firms to perpetuate their domestic activities. This subjective, evolutionary concept provides a dynamic character to the theory of contestable markets. Moreover, I show that contestability is more effective than antitrust policies and a solution of the cost disease. Empirical cases are shown to confirm the theoretical analysis.     

基于蓝牙的心音、呼吸音无线电子听诊监护系统

通过分析传统心音、呼吸音听诊系统存在的问题,尤其是SARS出现后引发的问题,提出了针对传染性病人的基于蓝牙技术的无线心音、呼吸音听诊监护系统。采用蓝牙无线技术和数据分析处理技术,系统有效地避免医患间的交叉感染,适用于传染病人的诊断和监护。     

Can Afghanistan avoid the Natural Resource Curse?

Recent discoveries of significant mineral deposits offer Afghanistan the opportunity to attain a level of economic development sufficient to stabilize that country's volatile security situation while providing Afghans with a reasonable standard of living. Much, however, depends on whether Afghanistan can avoid the “Natural Resource Curse,” an inter-related set of economic and social pathologies that often bedevil resource-endowed countries. In this article, the authors describe the Natural Resource Curse, evaluate the obstacles it raises for Afghan economic development, and offer a strategy to minimize the risks Afghanistan faces in its efforts to exploit its mineral wealth for the benefit of the population.     

Heart analytics: Analytical modeling of cardiovascular care

Cardiovascular diseases (CVDs) are the leading cause of death and disability both in the United States and worldwide. Despite high morbidity, mortality, and cost in the United States and global healthcare systems, cardiovascular care has been understudied in the healthcare operations management literature. In this paper, we identify research opportunities for healthcare operations management scholars to aid in improving cardiovascular care. We focus on three burdensome conditions, including (1) coronary artery disease, (2) stroke, and (3) heart failure, which, collectively, lead to the vast majority of CVD‐caused mortality and disability. For each condition, we characterize a typical patient's journey in receiving cardiovascular care, elucidating key challenges in improving care and outlining research questions for healthcare operations management scholars. We close with a reference to new research opportunities that emerge as artificial intelligence is likely to transform much of cardiovascular care.     

Model Versions and Fast Algorithms for Network Epidemiology

Network epidemiology has become a core framework for investigating the role of human contact patterns in the spreadingof infectious diseases. In network epidemiology, one represents the contact structure as a network of nodes（individuals） connected bylinks（sometimes as a temporal network where the links are not continuously active） and the disease as a compartmental model（whereindividuals are assigned states with respect to the disease and follow certain transition rules between the states）. In this paper, we discussfast algorithms for such simulations and also compare two commonly used versions,one where there is a constant recovery rate（the numberof individuals that stop being infectious per time is proportional to the number of such people）;the other where the duration of the diseaseis constant. The results show that, for most practical purposes, these versions are qualitatively the same.     

冠心病介入治疗虚拟仿真系统关键技术

冠心病介入治疗虚拟仿真系统是训练介入医生手术技能的有效工具,为满足实际需求,对系统开发过程中涉及的几何建模、心跳模拟、流体仿真、柔性器械运动处理等关键技术进行了探讨,提出了基于NURBS曲面的血管模型和组合弹簧振子联动的心跳模型,并利用粒子系统和多叉树方法实现了造影剂注射和柔性器械运动的仿真,为冠心病介入治疗训练提供了虚拟教学平台和技术支撑.