循证之证与康复之途*—— CCRC社区中的康复花园循证设计探索

疫情下医养机构封闭化管理已经步入 常态化，老年居民的心理健康受到了抑郁、焦虑 等问题的挑战。康复花园作为养老社区中重要 的心理生理康复空间，需以循证设计为原则， 为新形势下的养老社区提供切实可行的康复空 间。本文以西南地区某持续照护型（CCRC）养 老社区项目实践为载体，梳理阐述循证设计在 康复花园中完整的运用实践路径，总结我国循 证设计流程模型，为风景园林的循证实践提供 全链条式的解析和验证。本文尝试提出基于系 统医学评估指标的证据收集创新体系，为康复 花园循证设计提供运用实例，对康复花园的康 复绩效提出基于证据的定量评估模式。     

Top-k-size keyword search on tree structured data

Keyword search is the most popular technique for querying large tree-structured datasets, often of unknown structure, in the web. Recent keyword search approaches return lowest common ancestors (LCAs) of the keyword matches ranked with respect to their relevance to the keyword query. A major challenge of a ranking approach is the efficiency of its algorithms as the number of keywords and the size and complexity of the data increase. To face this challenge most of the known approaches restrict their ranking to a subset of the LCAs (e.g., SLCAs, ELCAs), missing relevant results.In this work, we design novel top-k-size stack-based algorithms on tree-structured data. Our algorithms implement ranking semantics for keyword queries which is based on the concept of LCA size. Similar to metric selection in information retrieval, LCA size reflects the proximity of keyword matches in the data tree. This semantics does not rank a predefined subset of LCAs and through a layered presentation of results, it demonstrates improved effectiveness compared to previous relevant approaches. To address performance challenges our algorithms exploit a lattice of the partitions of the keyword set, which empowers a linear time performance. This result is obtained without the support of auxiliary precomputed data structures. An extensive experimental study on various and large datasets confirms the theoretical analysis. The results show that, in contrast to other approaches, our algorithms scale smoothly when the size of the dataset and the number of keywords increase.     

SINA: Semantic interpretation of user queries for question answering on interlinked data

The architectural choices underlying Linked Data have led to a compendium of data sources which contain both duplicated and fragmented information on a large number of domains. One way to enable non-experts users to access this data compendium is to provide keyword search frameworks that can capitalize on the inherent characteristics of Linked Data. Developing such systems is challenging for three main reasons. First, resources across different datasets or even within the same dataset can be homonyms. Second, different datasets employ heterogeneous schemas and each one may only contain a part of the answer for a certain user query. Finally, constructing a federated formal query from keywords across different datasets requires exploiting links between the different datasets on both the schema and instance levels. We present Sina, a scalable keyword search system that can answer user queries by transforming user-supplied keywords or natural-languages queries into conjunctive SPARQL queries over a set of interlinked data sources. Sina uses a hidden Markov model to determine the most suitable resources for a user-supplied query from different datasets. Moreover, our framework is able to construct federated queries by using the disambiguated resources and leveraging the link structure underlying the datasets to query. We evaluate Sina over three different datasets. We can answer 25 queries from the QALD-1 correctly. Moreover, we perform as well as the best question answering system from the QALD-3 competition by answering 32 questions correctly while also being able to answer queries on distributed sources. We study the runtime of SINA in its mono-core and parallel implementations and draw preliminary conclusions on the scalability of keyword search on Linked Data.     

Research on the influence of content of vitrinoid group and content of inert group to CO adsorption-proliferation quantity

Dispersed coal was analyzed and rock experiment was conducted on four coals of medium-low rank in the aspect of coal and rock configuration, which resulted in eight coal samples mostly of the vitrinoid group or inert group. Then, an adsorption experiment of CO under different temperatures and pressures as well as a diffusion experiment under normal temperature and pressure were conducted. The research results indicate that for medium-low rank coal, because the pore structure in the inert group is bigger than that in the vitrinoid group, the influence on CO adsorption-proliferation of the inert group is bigger than that in the vitrinoid group, and the adsorption quantity of the inert group is more susceptive. The difference of adsorption quantity between the two groups diminish along with the improvement of coalification degree. The difference of adsorption quantity between the two groups shows no obvious change along with the change of temperature. Supported by the Committee of Nature Science Foundation in China(50474080); the Scientific Research Foundation for the Returned Overseas Chinese Scholars State Education Ministry     

建筑教育的影响与缺失 从中国建筑师代际变化角度进行的观察

文章以1977年至今的中国建筑教育作为分析对象,以专业教育对建筑师在代际变化中的影响为切入点,重点考察了20世纪60年代末到70年代中出生的建筑师在校所受教育与从业表现之间的关系,借助关键词,分析了中国当代建筑教育的发展历程,探讨了其中的缺失与对策。     

Synthesis of high-performance graphene nanosheets by thermal reduction of graphene oxide

High-performance graphene nanosheets have been synthesized by thermal reduction of graphene oxide (GO) under ethanol atmosphere. The reduced GO nanosheets were characterized by X-ray photoelectron spectroscopy, Raman spectroscopy and electrical transport measurements, respectively. The results indicated that the thermal reduction of GO under ethanol atmosphere can effectively remove the oxygen-containing functional groups and restore its graphic structure compared to the ones obtained using hydrazine or hydrogen. The electrical measurements indicated that the electrical mobility of single-layer graphene sheet reduced under ethanol atmosphere at 900 °C can reach 29.08 cm² V⁻¹ S⁻¹.     

Patent search on biologics as potential biosimilar candidates

The biological pharmaceutical market is one of the fastest growing sectors in the health care business. Sales of biologic drugs reached $120 billion in 2008 [1] and the worldwide market of biologics continues to grow (IMS Health). As patents on first generation of biologic drugs, including epoetin, insulin granulocyte colony-stimulating factor (G-CSF) and interferon alpha, will soon expire, if they have not already, and patents on some of the second generation of biological drugs, such as antibody drugs, are going to be expire in the next few years, there exists a great opportunity in developing biosimilars, especially for large pharmaceutical companies which face great challenges in developing new blockbuster drugs. In the past few years, the United States, Canada, and Japan have debated or passed legislation on biosimilars with active involvement from top pharmaceutical and generic drug companies. The successful leader in this field will be the one that has the foresight and resources to position themselves well to gain in the future. So what are biosimilars? What are the technological differences between biosimilars and small molecule generic drugs? Finally, what are the considerations for biosimilars in terms of patent searching? An example on a biosimilar study is given here.     

基于词汇链的中文新闻网页关键词抽取方法

词汇链是一种词语间语义关系引起的连贯性的外在表现,提供关于文本结构和主题的重要线索。文中在解决歧义消解问题的基础上提出利用词汇链,结合词频特征、位置特征和集聚特征抽取中文新闻网页关键词的方法。该方法根据词语在文档中语义联系将文档表示成词汇链形式,并在此基础上抽取关键词。对中文新闻网页和学术期刊文献两种语料进行实验,结果表明该方法可明显提高抽取的关键词质量。     

连铸二冷风机转子更换工艺优化及风机壳和底座结构改进

板坯连铸机在生产过程中,二冷室会有大量腐蚀性水蒸气产生,二冷风机的功能是及时排除二冷室内的水蒸气。某钢厂特厚板连铸机二冷风机布置在两个二层风机房内,由于风机结构及检修空间限制,转子更换过程非常困难。为解决上述问题,我们根据现场实际情况,对二冷风机的机壳及转子底座结构进行了一系列优化改进,从而彻底解决了更换二冷风机转子空间不足的问题,检修时间也由原来的9.5 h缩短到6.5 h,大大提高了检修效率,降低了检修成本。     

3 500 mm炉卷轧机轧制5 mm厚钢板生产实践

江阴兴澄特种钢铁有限公司通过对坯料准备、加热与轧制工艺、轧辊辊型、轧制规程以及生产计划编排等的调整, 在3 500 mm炉卷轧机上成功生产出了5 mm×3 150 mm薄规格钢板, 钢板板形、板凸度良好, 生产稳定。