2,151 research outputs found
HIV and tuberculosis in Ho Chi Minh City, Vietnam, 1997-2002.
No full textIn Ho Chi Minh City, Vietnam, reporting rates for tuberculosis (TB) are rising in an emerging HIV epidemic. To describe the HIV epidemic among TB patients and quantify its impact on rates of reported TB, we performed a repeated cross-sectional survey from 1997 through 2002 in a randomly selected sample of inner city TB patients. We assessed effect by adjusting TB case reporting rates by the fraction of TB cases attributable to HIV infection. HIV prevalence in TB patients rose exponentially from 1.5% to 9.0% during the study period. Young (<35 years), single, male patients were mostly affected; injection drug use was a potent risk factor. After correction for HIV infection, the trend in TB reporting rates changed from a 1.9% increase to a 0.4% decrease per year. An emerging HIV epidemic, concentrated in young, male, injection drug users, is responsible for increased TB reporting rates in urban Vietnam
A narrative-based collaborative writing tool for coherent technical documents
No full textOne important feature of an effective document that makes it easy to read and understand is known as coherence. Technical documents produced collaboratively are often incoherent due to a lack of group consensus and misaligned contributions by the individual authors. However, current document planning techniques and writing tools do not provide explicit support for improving coherence. The goal of this research, therefore, is to develop and evaluate a new technique and tool that helps teams of authors to structure coherent technical documents. The coherence of a document can be attributed to the story (or narrative) it conveys to the reader. If this story is consistent and coherent, the same can be said about the document. A discourse theory such as Rhetorical Structure Theory (RST) that has been developed by linguists helps further to analyse and improve a narrative. RST explains the coherence of a text by virtue of relationships (such as “paragraph A justifies paragraph B”) between parts of the text. This research has combined the ideas from these parallel strands of research to develop a new document planning technique called narrative-based writing. The method involves writing down an explicit précis of the story (called a document narrative or DN) and then analysing it using RST. The DN and RST analysis are then used to structure the eventual document. To extend the usability of narrative-based writing to geographically-dispersed authors, I have designed and implemented a collaborative tool that allows co-authors to edit, analyse and review DNs. The thorough design for the tool uses a combination of three models (conceptual, business process and functional) culminating in a set of functions that enable collaborative narrative-based writing. This dissertation discusses how, in the future, these functions could be incorporated in existing collaborative writing tools. Implementing this tool, albeit in its current prototypic state, has been invaluable in understanding the complexities of modelling and manipulating DNs and RST structures. Initial investigations using the new technique and tool have been positive, encouraging me to continue the research and evaluation in this field
Nuclear Factor-κB-Independent Anti-Inflammatory Action of Salicylate in Human Endothelial Cells
No full textIn contrast to aspirin, salicylate, its active metabolite, possesses profound anti-inflammatory properties without blocking cyclooxygenase. Inhibition of the transcription factor nuclear factor-κB (NF-κB) has been discussed to play a role in the anti-inflammatory profile of salicylate. However, NF-κB-independent effects of salicylate have been assumed but have up to now been poorly investigated. Therefore, the aim of the present study was to investigate NF-κB-independent anti-inflammatory mechanisms of salicylate in human umbilical vein endothelial cells using interleukin-4 (IL-4) as NF-κB-independent proinflammatory stimulus and P-selectin as inflammatory read-out parameter. Using quantitative real-time reverse transcriptionpolymerase chain reaction, we found that salicylate decreases IL-4-induced P-selectin expression. As judged by Western blot analysis, salicylate increased endothelial heme oxygenase-1 (HO-1) protein levels. Using both the HO-1 inhibitor tin(II) protoporphyrin IX and HO-1 antisense oligonucleotides, we causally linked the induction of HO-1 to the decrease of P-selectin. Moreover, we were interested in the signaling mechanisms leading to the up-regulation of HO-1 by salicylate. c-Jun NH2-terminal kinase (JNK) was found to be activated by salicylate, and we could causally link this activation to the induction of HO-1 by using the JNK inhibitor 1,9-pyrazoloanthrone. By applying activator protein-1 (AP-1) decoys, it was shown that the transcription factor AP-1 is crucially involved in the up-regulation of HO-1 downstream of JNK. In summary, our study introduces HO-1 as novel NF-κB-independent anti-inflammatory target of salicylate in human endothelial cells. Moreover, we elucidated the JNK/AP-1 pathway as crucial for the induction of HO-1 by salicylate
SemCW: Semantic Collaborative Writing using RST
No full textDuring collaborative writing each author works on a copy of the shared document. These copies are then merged to produce the final document. This asynchronous work is supported by several collaborative writing tools. While these tools are excellent at merging and detecting syntactic conflicts, they are not able to easily recognise semantic inconsistencies. This hinders the coherence of the document because while each individual copy might be well constructed, they may not be after the merge. To address this, we investigate the combination of the Rhetorical Structure Theory with Operational Transformation approach. In this paper, we define a data model, a set of operations to manipulate the RST structures and a set of transformation functions. A validity checker alerts the authors to areas in the text with possible semantic lapses in the merged documents
SemCW: Semantic Collaborative Writing using RST
No full textDuring collaborative writing each author works on a copy of the shared document. These copies are then merged to produce the final document. This asynchronous work is supported by several collaborative writing tools. While these tools are excellent at merging and detecting syntactic con icts, they are not able to easily recognize semantic inconsistencies. This hinders the coherence of the document because while each individual copy might be well constructed, they may not be after the merge. To address this, we investigate the combination of the Rhetorical Structure Theory with Operational Transformation approach. In this paper, we define a data model, a set of operations to manipulate the RST structures and a set of transformation functions. A validity checker alerts the authors to areas in the text with possible semantic lapses in the merged documents
Can Reynolds stress transport models be used for large eddy simulation?
No full textThis work explores a route to unify Reynolds averaged (RANS) and large eddy simulation (LES). The approach is to use a slightly modified Reynolds stress transport model for any mesh resolution. The model is formulated in terms of both total kinetic energy and modeled kinetic energy in such a way that the RST model correctly reproduces RANS results, LES results, and even DNS results (by turning itself off). The model equations do not contain functions of the mesh size within any of the model terms or constants. It is demonstrated that this approach works at any mesh resolution. In addition, the model naturally transitions between mesh resolutions, either coarse to fine or vice-versa. It is shown that for LES mesh resolutions the model returns a turbulent length scale that is proportional to the mesh size (the classic LES turbulent length scale)
OntoReST: A RST-based Ontology for Maintaining Semantic Consistency in Collaborative Writing
No full textCollaborative writing is the process by which more than one author contributes to the content of a document. Multi-synchronous collaboration is very efficient for reducing task completion time but is known to produce inconsistent documents. Most existing collaborative writing environments do not really check the semantic consistency of documents. They rely on authors to verify the coherence of the document. This introduces a severe overhead for authors to achieve efficient collaboration. To address this lack, we use semantic web technologies and a discourse theory called Rhetorical Structure Theory (RST) to reduce the overhead of consistency checking. We develop OntoReST, an ontology based on RST that helps detect incoherent texts automatically. OntoReST also provides authors with valuable information about the semantic structure of texts which contributes towards more coherent documents
OntoRest: A RST-based Ontology for Enhancing Documents Content Quality in Collaborative Writing
No full textInternational audienceCollaborative writing is the process by which more than one author contributes to the content of a document. Although, multi-synchronous collaboration is very efficient in reducing task completion time, it is well known for producing documents of poor-quality content. Most existing collaborative writing environments do not really check the logical arrangement of documents portions (i.e. sentences, paragraphs,...). They rely on authors to verify the content quality of the document. This imposes a severe overhead on the authors to achieve efficient collaboration. To address this issue, we use semantic web technologies and a discourse theory called Rhetorical Structure Theory (RST) with the aim to reduce the overhead of consistency checking. We develop OntoReST, an ontology based on RST that helps detect incoherent texts automatically. OntoReST also provides authors with valuable information about the semantic structure of texts which contributes towards enhancing documents content quality
The Psychometric Properties of the Spanish Reinforcement Sensitivity Theory - Personality Questionnaire (RST-PQ) and its Relationship with Everyday Behaviors
No full textThis study aimed to adapt and validate the Spanish version of the Reinforcement Sensitivity Theory–Personality Questionnaire (RST-PQ; Corr & Cooper, 2016) and to demonstrate how RST constructs are associated with a variety of everyday behaviors. To achieve this goal, three studies have been conducted. In Study 1, a direct translation of the items from English to Spanish was pilot-tested in a sample of 139 students and a descriptive analysis of items was conducted. Moreover, a reverse translation and comparison between the two English versions were carried out by the lead author of the original questionnaire and the items were refined accordingly. In Study 2, the questionnaire’s internal structure was assessed using exploratory and confirmatory factor analyses and the predictive validity was assessed using the Criterion Set of Act Clusters in a sample of 1,281 participants. Finally, a study of convergent validity with other measures of personality was performed in Study 3 with 190 participants. The obtained results suggested that the RST-PQ has adequate psychometric properties and the convergent validity results with other personality measures replicate findings from previous research. Having a Spanish language version of the RST-PQ is important, not only to advance RST research but also to demonstrate that this theoretical approach contributes to the prediction and explanation of different behaviors whether they are healthy or pathological ones
OntoReST: A RST-based Ontology for Maintaining Semantic Consistency in Collaborative Writing
No full textCollaborative writing is the process by which more than one author contributes to the content of a document. Multi-synchronous collaboration is very efficient for reducing task completion time but is known to produce inconsistent documents. Most existing collaborative writing environments do not really check the semantic consistency of documents. They rely on authors to verify the coherence of the document. This introduces a severe overhead for authors to achieve efficient collaboration. To address this lack, we use semantic web technologies and a discourse theory called Rhetorical Structure Theory (RST) to reduce the overhead of consistency checking. We develop OntoReST, an ontology based on RST that helps detect incoherent texts automatically. OntoReST also provides authors with valuable information about the semantic structure of texts which contributes towards more coherent documents
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