Improved Transferability of Data‐Driven Damage Models Through Sample Selection Bias Correction

Damage models for natural hazards are used for decision making on reducing and transferring risk. The damage estimates from these models depend on many variables and their complex sometimes nonlinear relationships with the damage. In recent years, data‐driven modeling techniques have been used to capture those relationships. The available data to build such models are often limited. Therefore, in practice it is usually necessary to transfer models to a different context. In this article, we show that this implies the samples used to build the model are often not fully representative for the situation where they need to be applied on, which leads to a “sample selection bias.” In this article, we enhance data‐driven damage models by applying methods, not previously applied to damage modeling, to correct for this bias before the machine learning (ML) models are trained. We demonstrate this with case studies on flooding in Europe, and typhoon wind damage in the Philippines. Two sample selection bias correction methods from the ML literature are applied and one of these methods is also adjusted to our problem. These three methods are combined with stochastic generation of synthetic damage data. We demonstrate that for both case studies, the sample selection bias correction techniques reduce model errors, especially for the mean bias error this reduction can be larger than 30%. The novel combination with stochastic data generation seems to enhance these techniques. This shows that sample selection bias correction methods are beneficial for damage model transfer.     

浙江省新生代农民工继续教育状况研究

中共中央、国务院印发的《新时期产业工人队伍建设改革方案》提出,要帮助"新生代农民工增加受教育培训机会,提高专业技能和胜任岗位能力",并将教育作为促进农民工融入城市,成为稳定就业的产业工人的重要路径。以浙江省11个地级市的服务行业、建筑行业、制造业的从业人员为主要调查对象,了解浙江省新生代农民工接受继续教育的现状与特点,发现新生代农民工存在自身接受继续教育的动力意愿不足、企业进行职业技能培训投资的动力意愿不足等问题,并据此提出要做好终身教育宣传、搭建继续教育平台、优化在职培训模式等解决办法。     

以市场为导向的高职院校家政专业发展研究

市场经济下社会发展为家政行业的发展带来了巨大的潜力空间,但高职业素养的家政从业人员缺乏逐渐成为行业发展的瓶颈。以市场为导向设置专业是高职院校的重要法则,但因受师资、生源、就业等问题的制约,高职院校家政专业发展出现了诸多问题。可采取以下措施促进高职院校的家政专业良性发展:依据市场导向,立足自身特色,精准定位培养；以家政专业内涵发展及就业前景为宣传突破口破解招生难题；积极“引才”、“育才”构建专业化的师资队伍；推进产学研深度融合助推学生就业等。     

Integrating Family Resilience and Family Stress Theory

The construct, family resilience, has been defined and applied very differently by those who are primarily clinical practitioners and those who are primarily researchers in the family field. In thisarticle, the family resilience perspective is integrated with conceptual definitions from family stress theory using the Family Adjustment and Adaptation Response (FAAR) Model in an effort to clarify distinctions between family resiliency as capacity and family resilience as a process. The family resilience process is discussed in terms of (a) the meaning of significant risk exposure (vs. the normal challenges of family life) and (b) the importance of making conceptual and operational distinctions between family system outcomes and family protective processes. Recommendations for future family resilience research are discussed.     

高职教育学制改革的问题及对策

高职教育两年制学制改革,是为了更好地突出高职教育灵活、快捷、适应性强的特点,进一步明确高职教育定位和方向的重要举措,它将涉及教育观念、培养质量、课程设置、运行管理等一系列问题。只有正确认识和处理这些问题,才能保证学制改革的顺利进行。     

英汉句法的比较和转换

英汉句法存在三种最基本的差异 ,即树型结构和线型结构、形合法和意合法以及句子界线的差异。在此基础上 ,着重介绍英汉互译过程中的三种转换方法     

关于图书馆员的职业生涯与职业回报问题的探讨

探讨图书馆员的职业生涯与职业回报之间的关系，并提出图书馆员职业生涯中容易出现的一些问题的解决办法。     

试论高职院校图书馆的特色化建设

网络环境下,高职院校图书馆的特色化建设应针对发展状况,分析自身优势和需求,建立以服务于特定读者群为目标的特色馆藏,建立"以人为本"的特色化服务模式,建立促进图书馆自身发展的人力资源开发特色体系,建立优良的现代图书馆网络体系。     

安置方式、人际交往与移民适应:江苏、浙江343户三峡农村移民的比较研究

本文依据对江苏、浙江两省6个县343户三峡外迁农村移民的调查数据，分析了相对集中与完全分散这两种不同的安置方式，以及由此所形成的两种不同的人际交往状况对外迁移民社会适应的影响。研究发现，从总体上看，移民在安置地的人际交往状况对移民的社会适应的影响十分显著。无论是移民之间的交往、还是移民与当地居民之间的交往，都会大大增强移民融入当地社会的程度。     

高职院校“双师型”教师队伍现状分析与对策研究

"双师型"教师是高职院校教育质量提高和教育目标实现的基本保证,但目前我国的高职院校"双师型"教师队伍建设存在着诸多问题,如师资力量不足、职称结构不合理且学历偏低、兼职教师所占比例偏低、教师培训环节薄弱、师资流出现象严重等。为此,国家必须制定相应的政策法规,高职院校也要建立和完善相应的机制,从而保证"双师型"教师队伍的建设。