Introduction to Enhanced Protective Film Systems

An explosive blast mitigation alternative has increased the safety of structures by using "catcher" systems.These systems " catch" or repel the failure of the window or in-fill wall protecting life and property from ballistic shards or fragments.They can be designed to be standalone in new construction and structural retrofits or used to augment structural hardening techniques.Cables,fabrics,and thin gauge sheet steel are examples of catcher systems used in the past.A new and evolving category of catcher systems are based on polymeric materials that can be used for both wall and window upgrades.These products are a proven blast mitigation concept and K&C Protective Technologies Pte Ltd (KCPT) together with Sherwin-Williams(SW) use KCPT's blast engineering capacity and SW's material engineering principles to create engineered systems for even greater in-use performance.     

An Aid to Intuitively Understanding Bias and Consistency

Students often find the concepts of bias and consistency hard to understand intuitively. This article presnts means of demonstrating these concepts using a computer so that students, once they have seen them in action, can more readily grasp their meanings and imlications.     

沈阳城市灾害及减灾对策

沈阳城市灾害包括自然灾害和社会灾害，显性灾害和隐性灾害。自然灾害的预防需要在研究其形成规律的基础上，依靠科学地管理来完成。社会(人为)灾害的预防需要提高各阶层人士的素养，依靠完善的管理制度来实现。     

偏振模色散对光副载波复用系统的影响及其抑制

光链路的偏振模色散效应已成为高速 /长距离的传统光时分复用系统和光副载波复用系统的严重阻碍。文章基于一阶近似 ,导出了光副载波系统中 ,偏振模色散效应引起的射频信号功率衰落的一般表达式。并且研究了几种偏振模色散抑制方法的优缺点 ,提出了一种全新的相干检测技术来提高补偿性能。     

Effect of Foam Cladding for Blast Mitigation： Numerical Simulation

Two numerical simulations were performed to investigate the protective effect of the foam cladding. One simulation is based on a previous experimental study, which is a ballistic pendulum with and without a foam cladding subjected to close-range blast loading. The other model is a steel beam with and without a foam cladding under blast loading. The overpressure due to the blast event can be calculated by the empirical function ConWep or by an arbitrary Lagrangian-Eulerian （ALE） coupling model. The first approach is relatively simple and widely used. The second approach can model the propagation of the blast wave in the air and the interaction between the air and the solid. It is found that the pendulum with the foam cladding always swings to a larger rotation angel compared to a bare pendulum. However, the steel beam with an appropriate foam cladding has a smaller deflection compared to the bare beam without a foam cladding. It is concluded that the protective effect of the foam cladding depends on the properties of the foam and the protected structure.     

长沙市高校五人制足球运动开展的现状与问题分析

五人制足球在我国是一项新兴的体育项目,它和十一人制足球赛制有着明星的区别。通过访谈法、问卷调查法、比较分析法等等,对长沙市五人制足球运动在高校开展的现状,特点进行分析。五人制足球有着比赛形式多种多样、比赛人数少、场地小、器材简易、比赛时间与十一人制足球运动相比相对少,而运动负荷比较适宜,因此更适合高校足球爱好者的一种运动项目。调查表明：五人制足球运动在长沙市高校具有良好的群众基础、发展前景和价值,有利于推动全民健身运动,促进学校足球运动的开展与提高,并能在一定程度上缓解学校体育场所需求矛盾和有效地解决大学生学习和参与足球活动的矛盾。同时针对这一运动项目再高校推广时所存在的问题提出相应的发展建议,为长沙市高校今后更好地开展这一运动提供有益的启示。     

Debiaser for Multiple Variables to enhance fairness in classification tasks

Nowadays assuring that search and recommendation systems are fair and do not apply discrimination among any kind of population has become of paramount importance. This is also highlighted by some of the sustainable development goals proposed by the United Nations. Those systems typically rely on machine learning algorithms that solve the classification task. Although the problem of fairness has been widely addressed in binary classification, unfortunately, the fairness of multi-class classification problem needs to be further investigated lacking well-established solutions. For the aforementioned reasons, in this paper, we present the Debiaser for Multiple Variables (DEMV), an approach able to mitigate unbalanced groups bias (i.e., bias caused by an unequal distribution of instances in the population) in both binary and multi-class classification problems with multiple sensitive variables. The proposed method is compared, under several conditions, with a set of well-established baselines using different categories of classifiers. At first we conduct a specific study to understand which is the best generation strategies and their impact on DEMV’s ability to improve fairness. Then, we evaluate our method on a heterogeneous set of datasets and we show how it overcomes the established algorithms of the literature in the multi-class classification setting and in the binary classification setting when more than two sensitive variables are involved. Finally, based on the conducted experiments, we discuss strengths and weaknesses of our method and of the other baselines.     

Challenges and possibilities in climate change education

Educating and communicating about climate change is challenging. Researchers reported that climate change concepts are often misunderstood. Some people do not believe that climate change will have impacts on their own life. Other challenges may include people＇s difficulty in perceiving small or gradual environmental changes, the fact that overconsumption brings people power and recognition, people＇s weak connection to nature, and people＇s tendency to make emotional decisions and quickly solve environmental problems. Drawn from research, some climate change communication and education strategies are presented. Well designed environmental messages could convince people that they can still reduce the scale of the phenomenon and could link mitigation actions to people＇s positive desires or aspirations, while providing local examples of climate change impacts and illustrated information. In mitigation education, some strategies （future education, reflective, experiential, socio-constructivist approaches and the community of change）, jointly used, could correct the learners＇ misconceptions and lead them to action. In adaptation education, scientists and citizens could get together to choose a specific problem that may worsen with climate change, analyze it, and propose and implement adaptations. In the meantime, pedagogical strategies inspired by cognitive science could strengthen the citizens＇ skills： posing and solving problems, decision-making, scenario building and sustainable planning.     

我国的自然灾害与防灾减灾教育思考

中国是世界上自然灾害多发的少数国家之一,具有自然灾害种类多,发生频率高、强度大,分布广、地域差异明显等特征.近年来,我国自然灾害发生频繁,损失巨大,造成了人员的身心创伤,增加了社会不安定因素,破坏了自然资源与环境.这就从客观上要求我们要提高防灾减灾教育必要性的认识,借鉴国外先进的防灾减灾教育经验,从政府重视开始,推动防灾减灾教育普及化、经常化和法制化;从基础教育着手,把防灾减灾教育纳入国民教育体系;采取多种形式,加强对公众的防灾减灾宣传;加强防灾减灾专业人员的培训,为落实科学发展、构建和谐社会做出应有的贡献.     

新现实主义视角下从“缓和”看“重启”

在新现实主义理论框架下,各个行为体在体系中有着各自的运作模式以及各个行为体之间的互动关系。在此理论框架下探讨20世纪70年代两极对抗中的＂缓和＂,和奥巴马政府上台后,与俄罗斯谋求＂重启＂的共性和差异,以及对＂重启＂走势的评估。