923 research outputs found

    Data for: Diurnal Variations of Greenhouse Gases Emissions from Coastal Reclamation Marine Aquaculture Ponds

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    Ranges and means of physicochemical parameters in the coastal reclamation marine culture ponds of Tianjin. CO2, CH4, N2O concentration and saturation in water of the DG and HG ponds. CO2, CH4, N2O emission fluxes at water-air interface of the DG and HG ponds

    Data for: Diurnal Variations of Greenhouse Gases Emissions from Coastal Reclamation Marine Aquaculture Ponds

    No full text
    Ranges and means of physicochemical parameters in the coastal reclamation marine culture ponds of Tianjin. CO2, CH4, N2O concentration and saturation in water of the DG and HG ponds. CO2, CH4, N2O emission fluxes at water-air interface of the DG and HG ponds

    Data for: Diurnal Variations of Greenhouse Gases Emissions from Coastal Reclamation Marine Aquaculture Ponds

    No full text
    Ranges and means of physicochemical parameters in the coastal reclamation marine culture ponds of Tianjin. CO2, CH4, N2O concentration and saturation in water of the DG and HG ponds. CO2, CH4, N2O emission fluxes at water-air interface of the DG and HG ponds

    Data for: Diurnal Variations of Greenhouse Gases Emissions from Coastal Reclamation Marine Aquaculture Ponds

    No full text
    Ranges and means of physicochemical parameters in the coastal reclamation marine culture ponds of Tianjin. CO2, CH4, N2O concentration and saturation in water of the DG and HG ponds. CO2, CH4, N2O emission fluxes at water-air interface of the DG and HG ponds

    sj-pdf-1-imr-10.1177_03000605221094644 - Supplemental material for Associations between bone mineral density and chronic obstructive pulmonary disease

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    Supplemental material, sj-pdf-1-imr-10.1177_03000605221094644 for Associations between bone mineral density and chronic obstructive pulmonary disease by Xiaodiao Zhang, Keke Ding, Xiaqi Miao, Jianing Wang, Binbin Hu, Jiamin Shen, Xueting Hu, Yage Xu, Beibei Yu, Tingting Tu, Aiju Lin, Xianjing Chen and Yiben Huang in Journal of International Medical Research</p

    Guan yu gong ren he gong si jin rong de yan jiu

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    Shen, Beibei.Thesis Ph.D. Chinese University of Hong Kong 2015.Includes bibliographical references.Abstracts also in Chinese.Title from PDF title page (viewed on 02, November, 2016).Shen, Beibei

    Enhancing clustering blog documents by utilizing author/reader comments

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    Blogs are a new form of internet phenomenon and a vast everincreasing information resource. Mining blog files for information is a very new research direction in data mining. We propose to include the title, body, and comments of the blog pages in clustering datasets from blog documents. In particular, we argue that the author/reader comments of the blog pages may have more discriminating effect in clustering blog documents. We constructed a word-page matrix by downloading blog pages from a well-known website and experimented a k-means clustering algorithm with different weights assigned to the title, body, and comment parts. Our experimental results show that assigning a larger weight value to the blog comments helps the k-means algorithm produce better clustering solutions. The experimental results confirm our hypothesis that the author/reader comments of the blog files are very useful in discriminating blog files

    Towards Contextualized Information Delivery: A Rule-based Architecture for the Domain of Mobile Police Work

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    An increasing number of mobile users demand adaptive services tailored to their specific requirements in a particular situation. Typically, when carrying out the task at hand, police officers need to have up-to-date information contextualized to their current situation in order to support their decision making. In contrast to the traditional work environments in which workers are involved in standard office work, the situations in which mobile workers perform their tasks are characterized by various types of context. This feature requires the designers of a system serving those mobile users to understand which context dimensions might influence the users’ information needs; thus, developers must find solutions that enable applications to adapt their behaviour to the current context without consuming too much of users’ attentions. In this thesis we designed a generic architecture supporting delivery of contextualized information that can assist mobile users to take decisions during their activities. Within the MOSAIC project, aiming to enhance situation awareness of emergency responders, we developed a rule-based system which can assess the relevance of information items by taking into account the contextual situations police officers are involved in. Following our quantitative evaluation method, we evaluated the effectiveness and adaptability our system based on realistic scenarios in cooperation with end-users. The competitive results have shown that the system can select adequately relevant information for end-users given their contexts and thus demonstrated the feasibility of the architecture we designed.Software TechnologyElectrical Engineering, Mathematics and Computer Scienc

    Question bias and biased question words in Mandarin, German and Bangla

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    Bias is a linguistic phenomenon that is primarily found in questions. Various kinds of biased questions have been studied extensively in the literature, e.g. Negative Polar Questions, Questions with Minimizers, Questions with Verum focus (Ladd 1981, Buring & Gunlogson 2000, Guerzoni 2003, Romero & Han 2004, a.o.). Aside from those biased questions, there are questions with dedicated words that can express bias (i.e. biased question words). Those words are "nandao" in Mandarin, "etwa" in German, and "naki" in Bangla. The current dissertation takes a modal approach to bias, distinct from earlier accounts of bias. In order to find out the nature of bias, e.g. how it is introduced, at which level it is interpreted, and why it is primarily found in questions, I study the three biased question words at the interface of syntax, semantics and pragmatics. Based on the analyses of the three words, I claim that bias is a not-at-issue content that is revealed via the speaker's public belief domain (i.e. Discourse commitment). Considering the phenomenon in general, I isolate three conditions for introducing bias: a preference ranking of alternatives, selection of a particular alternative as privileged, and the requirement to update the Question Under Discussion with the alternatives. Biased question words lexically satisfy all three conditions and give rise to the obligatorily biased reading of questions containing them. With these three conditions, I provide a definition for bias and explain the opening statement that "bias is a linguistic phenomenon that is primarily found in questions".Ph.D.Includes bibliographical referencesby Beibei X

    A Rule Engine for Relevance Assessment in a Contextualized Information Delivery System

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    Hu B, Hidders J, Cimiano P. A Rule Engine for Relevance Assessment in a Contextualized Information Delivery System. Presented at the International Conference on Intelligent User Interfaces (IUI2011)
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