Relationship transitions for parents of children with autism spectrum disorder: types,turbulence, and transition processing communication

This study surveys transitions specific to parents of children with autism spectrum disorder (ASD), examines how aspects of relational turbulence vary based on the type of transition experienced, and explores the transition processing activities couples use to navigate marital transitions in this context. The study examined the transition experiences of 298 parents of children with ASD who were currently married. Participants detailed an important transition throughout the life span of their child with ASD using open-ended questions. They completed scales assessing qualities of the relationship during the transition and transition processing communication used to navigate the experience. Results demonstrate significant differences in experiences of relational turbulence based on the type of transition described. In particular, the initial diagnosis received the highest ratings for transition magnitude and relational turbulence compared to other common transitions. Engagement in transition processing communication predicted relational uncertainty and facilitation from a partner, which predicted relational turbulence.     

Concept Relationships in Knowledge Organization Systems: Elements for Analysis and Common Research Among Fields

Knowledge organization systems have been studied in several fields and for different and complementary aspects. Among the aspects that concentrate common interests, in this article we highlight those related to the terminological and conceptual relationships among the components of any knowledge organization system. This research aims to contribute to the critical analysis of knowledge organization systems, especially ontologies, thesauri, and classification systems, by the comprehension of its similarities and differences when dealing with concepts and their ways of relating to each other as well as to the conceptual design that is adopted.     

基于知识治理的公共档案馆服务质量优化机制研究

[目的/意义] 在公共档案馆服务质量优化中引入知识治理理论,使得复杂的服务质量优化问题获得更本质的理解和更有效的解决途径,为公共档案馆服务质量和服务能力提升提供参考。[方法/过程] 以知识治理理论为支撑,对公共档案馆服务质量优化进行分析与探讨,设计公共档案馆服务质量优化机制。[结果/结论] 通过借鉴和探析知识治理机制,构建公共档案馆服务质量影响因素优化机制,主要包括优化的环境、优化的目标、优化内部动能（治理机制）、优化外部动力和优化过程五个部分。     

政府网站信息资源知识元模型与可视化表征研究

[目的/意义]利用知识元模型理论研究政府网站知识服务效果的优化路径,辅以可视化表征技术,以降低大数据环境下政务用户信息获取的操作负载和知识加工的认知负荷。[方法/过程]依据相关知识元模型研究推理出符合政府网站信息资源属性特征的六元组知识元表示方法和四元组知识元本体结构,采用TextRank与HDP算法分别抽取政府网站信息资源关键词和主题词,并由领域专家根据抽取结果确定知识元,构建包含知识元本体库生成和可视化知识服务的政府网站信息资源领域知识元可视化表征模型。[结果/结论]通过政府网站发布的共享单车实例检验知识元可视化表征模型的有效性和可行性,为实现政府网站粗粒度信息服务转向以知识元为单位的细粒度知识服务范式开辟了新的研究思路,可视化知识服务模式增强了政务信息导航的结构化和用户解读领域文本语义的效果。     

公共图书馆转型背景下的噪音问题——基于微博的调查

文章以用户在微博上发表的对公共图书馆噪音的看法为数据来源,使用内容分析和情感分析方法研究用户对噪音的认知,分析噪音的来源。研究发现:用户对公共图书馆的噪音问题表示关注和不满;大城市公共图书馆被用户提及最多;用户认为安静才是公共图书馆的应有之义;在用户认为的噪音来源中,用户因素远高于其他因素,最主要的噪音源是少年儿童吵闹。对策包括:转变用户对公共图书馆严肃安静的刻板印象;依据用户需求合理规划空间;改进馆内管理工作。     

Identification of twist-angle-dependent excitons in WS2/WSe2 heterobilayersOA

Stacking atomically thin films enables artificial construction of van der Waals heterostructures with exotic functionalities such as superconductivity, the quantum Hall effect, and engineered light-matter interactions.In particular, heterobilayers composed of monolayer transition metal dichalcogenides have attracted significant interest due to their controllable interlayer coupling and trapped valley excitons in moiré superlattices. However, the identification of twist-angle-modulated optical tr...     

基于信息管理基础上的图书馆知识管理的设想

图书馆知识管理与传统的信息管理不同,要求把信息与知识、信息与活动、信息与人连接起来,在人际交流的互动过程中,通过信息与知识(显性知识、隐性知识)的共享,运用群体的智慧进行创新,以赢得竞争优势。因此,图书馆知识管理体现了信息化、柔性化、创新及适应性的管理特征,是信息管理活动的高级形式和最新发展阶段。     

“技术—组织—环境”视域下数字经济赋能低碳转型发展的路径

数字经济的蓬勃发展为深入推进低碳转型提供了有力的技术、管理和制度手段,但我国现阶段仍存在数字技术创新水平有限、数字人才供给能力不足、数字治理体系亟待健全等问题,制约了数字经济对于低碳转型发展的赋能作用。文章基于“技术—组织—环境”（TOE） 框架,探讨数字经济对低碳转型发展影响的技术迭代路径、管理变革路径及制度优化路径,阐述数字经济在低碳转型发展中的重要作用,为促进我国发展数字经济助力“双碳”目标实现提出政策建议。     

Forward view: advancing health library and knowledge services in England

This article is the fourth in a series on New Directions. The National Health Service is under pressure, challenged to meet the needs of an ageing population, whilst striving to improve standards and ensure decision making is underpinned by evidence. Health Education England is steering a new course for NHS library and knowledge services in England to ensure access to knowledge and evidence for all decision makers. Knowledge for Healthcare calls for service transformation, role redesign, greater coordination and collaboration. To meet user expectations, health libraries must achieve sustainable, affordable access to digital content. Traditional tasks will progressively become mechanised. Alongside supporting learners, NHS librarians and knowledge specialists will take a greater role as knowledge brokers, delivering business critical services. They will support the NHS workforce to signpost patients and the public to high‐quality information. There is a need for greater efficiency and effectiveness through greater co‐operation and service mergers. Evaluation of service quality will focus more on outcomes, less on counting. These changes require an agile workforce, fit for the future. There is a bright future in which librarians’ expertise is used to mobilise evidence, manage and share knowledge, support patients, carers and families, optimise technology and social media and provide a keystone for improved patient care and safety.     

学术文本中细粒度知识实体的关联分析

考察特定领域文本中蕴含的细粒度知识实体的使用情况,对知识实体的评估和选择具有重要意义。学术文本中的细粒度知识实体通常具有多个类型、多种关联关系,挖掘知识实体的同质与异质关联关系,有助于深入了解特定领域知识实体的实际使用情况。目前相关研究大多针对学术文本中单一知识实体的抽取和评估,缺乏对知识实体间关系的关注,在一定程度上限制了基于实体抽取进行知识发现的能力。文章以自然语言处理领域为例,对学术论文全文中的细粒度知识实体关联数据进行挖掘,并通过可视化方式揭示关联数据中蕴含的信息。主要是选取全国计算语言学会议2009-2018年间收录的中文论文为原始语料,人工标注论文中使用的知识实体,并针对NLP特点将其细分为“指标实体”“工具实体”“资源实体”“方法实体”4种类型;结合关联规则挖掘算法Apriori和复杂网络分析软件构建知识实体关联网络,揭示该领域常用的知识实体,以及这些知识实体的使用相关性。