Transformer in navigation: Diverse government roles for open innovation in China's high-speed rail

Based on a longitudinal case study of China's high-speed rail embedded in the emerging economy context, we focus on what role the government plays and how that matters to open innovation (OI) for competitive advantage. By linking the OI literature with the national political institutions literature to motivate our research question, we propose a statist-based OI view to differentiate diverse government roles, investigating how government adopts roles in a combined way to push OI in stages. Our findings suggest that government is an important strategic decision-maker for OI. Specifically, the government plays various roles as commander, protector, cultivator, and intermediator, reflecting state activism derived from national political institutions, to construct institutional-level OI for domestic OI activities, and inbound and outbound OI across national borders. We find government can deliberately and strategically use its diverse roles in a combined way to push OI for competitive advantage through the industrial evolutionary process over time. Our study contributes to the OI literature and integrates the strategic management literature with the study of OI to provide new insights to explain the origins of competitive advantage from the state perspective.     

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.     

Childbearing and Marriage: Investigating the Importance of Context for Meaning-Making of First-Time Marriage

Previous research reveals that the temporal ordering of childbearing and marriage can have an impact on the meaning of first-time marriage. This article aims to obtain a deeper understanding of meaning-making of first-time marriage in relation to childbearing. Narrative interviews with 16 brides and grooms in 8 couples in Sweden were conducted. The material was analyzed in relation to the temporal ordering of childbearing and marriage. The study reveals that the construction of meaning of marriage does not only relate to the temporal context. Social factors such as social class or family formation might also be relevant for how meaning is constructed. This article contributes to a deeper understanding of meaning-making as a relational process constructed within particular contexts.     

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.     

英语中形式与意义不一致的语用研究

英语与其他语种一样存在着形式与意义不一致的语用问题 ,主要有四种表现形式 :陈述句起疑问句、祈使句作用 ;疑问句起着陈述句、祈使句作用 ;肯定形式表示否定意义 ;否定形式表示肯定意义。由于说话者的目的不同 ,选择的表达方式就不同 ,其语用意义也随之变化。     

界定语言的逻辑理路

迄今,还没有一门科学像语言学这样不能提供研究对象的结论性定义。语言有三个本质属性,即社会事实、心理表征及声音和意义结合的符号系统,只有对语言进行三维观照,才有可能本真地推导出语言这一语言学对象所特有的、本质的属性     

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     

论礼貌在交际中的识解

礼貌是一个非常复杂的问题,它的识解需要语言内、外的知识。礼貌既要通过语言知识如语调,字、词和句来识解,又要借助人的常识和对语境中的认知能力。礼貌是即时即景的,说话人与受话人的个人经历、文化背景和合作对礼貌起了很大的作用。情景及其它非语言因素也起了不可忽视的作用,通过语言体现的礼貌因人因情景因文化而异。     

委婉表达现象的认知语用特征

委婉表达现象的认知语用特征,如果从语用规约、隐喻思维和认知语境几个方面来看,其实质就是人们利用纯语言符号和认知机制合力的心理认知过程;委婉表达现象与语用规约、隐喻、认知语境等密不可分。     

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。