14 research outputs found

    Suppression of EAE and Prevention of Blood-Brain Barrier Breakdown after Vaccination with Novel Bifunctional Peptide Inhibitor

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    The efficacy of bifunctional peptide inhibitor (BPI) in preventing blood-brain barrier (BBB) breakdown during onset of experimental autoimmune encephalomyelitis (EAE) and suppression of the disease was evaluated in mice. The mechanism that defines how BPI prevents the disease was investigated by measuring the in vitro cytokine production of splenocytes. Peptides were injected 5 to 11 days prior to induction of EAE, and the severity of the disease was monitored by a standard clinical scoring protocol and change in body weight. The BBB breakdown in diseased and treated mice was compared to that in normal control mice by determining deposition of gadolinium diethylenetriaminepentaacetate (Gd-DTPA) in the brain using magnetic resonance imaging (MRI). Mice treated with PLP-BPI showed no or low indication of EAE as well as normal increase in body weight. In contrast, mice treated with the control peptide or PBS showed a decrease in body weight and a high disease score. The diseased mice had high deposition of Gd-DTPA in the brain, indicating breakdown in the BBB. However, the deposition of Gd-DTPA in PLP-BPI-treated mice was similar to that in normal control mice. Thus, PLP-BPI can suppress EAE when administered as a peptide vaccine and maintain the integrity of the BBB

    Three Saturn-mass planets transiting F-type stars revealed with TESS and HARPS

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    While the sample of confirmed exoplanets continues to increase, the population of transiting exoplanets around early-type stars is still limited. These planets allow us to investigate the planet properties and formation pathways over a wide range of stellar masses and study the impact of high irradiation on hot Jupiters orbiting such stars. We report the discovery of TOI-615b, TOI-622b, and TOI-2641b, three Saturn-mass planets transiting main sequence, F-type stars. The planets were identified by the Transiting Exoplanet Survey Satellite (TESS) and confirmed with complementary ground-based and radial velocity observations. TOI-615b is a highly irradiated (∼\sim1277 F⊕F_{\oplus}) and bloated Saturn-mass planet (1.69−0.06+0.05^{+0.05}_{-0.06}RJupR_{Jup} and 0.43−0.08+0.09^{+0.09}_{-0.08}MJupM_{Jup}) in a 4.66 day orbit transiting a 6850 K star. TOI-622b has a radius of 0.82−0.03+0.03^{+0.03}_{-0.03}RJupR_{Jup} and a mass of 0.30−0.08+0.07^{+0.07}_{-0.08}~MJupM_{Jup} in a 6.40 day orbit. Despite its high insolation flux (∼\sim600 F⊕F_{\oplus}), TOI-622b does not show any evidence of radius inflation. TOI-2641b is a 0.37−0.04+0.05^{+0.05}_{-0.04}MJupM_{Jup} planet in a 4.88 day orbit with a grazing transit (b = 1.04−0.06+0.05^{+0.05}_{-0.06 }) that results in a poorly constrained radius of 1.61−0.64+0.46^{+0.46}_{-0.64}RJupR_{Jup}. Additionally, TOI-615b is considered attractive for atmospheric studies via transmission spectroscopy with ground-based spectrographs and JWST\textit{JWST}. Future atmospheric and spin-orbit alignment observations are essential since they can provide information on the atmospheric composition, formation and migration of exoplanets across various stellar types.Comment: 16 pages, 17 figures, submitted to A&

    The MDS Experiments for TREC5

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    Introduction The Multimedia Database Systems (MDS) group at RMIT is investigating many aspects of information retrieval of relevance to TREC. Current work includes combination of evidence, Asian-language text retrieval, passage retrieval, collection fusion, and efficient retrieval from large collections. Here we report on results from three of these strands of research. 2 Dynamic Passage Retrieval Much of the research in text retrieval has focussed on retrieval of whole documents. However, there are many contexts in which it is preferable to consider retrieval of subparts of documents, or passages, which are potentially a better mechanism for identification of relevance than ranking of whole documents. In this section we explain our new approach to passage retrieval. Use of passages to rank documents should be particularly effective for high-precision retrieval---because they are good at identifying documents with highly relevant parts---and for collections o

    Automatic acquisition of Chinese-English parallel corpus from the web. In: ECIR2006

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    Abstract. Parallel corpora are a valuable resource for tasks such as cross-language information retrieval and data-driven natural language processing systems. Previously only small scale corpora have been available, thus restricting their practical use. This paper describes a system that overcomes this limitation by automatically collecting high quality parallel bilingual corpora from the web. Previous systems used a single principle feature for parallel web page verification, whereas we use multiple features to identify parallel texts via a k-nearest-neighbor classifier. Our system was evaluated using a data set containing 6500 Chinese– English candidate parallel pairs that have been manually annotated. Experiments show that the use of a k-nearest-neighbors classifier with multiple features achieves substantial improvements over the systems that use any one of these features. The system achieved a precision rate of 95 % and a recall rate of 97%, and thus is a significant improvement over earlier work.

    MDS TREC6 Report

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    Introduction This year the MDS group has participated in the ad hoc task, the Chinese task, the speech track, and the interactive track. It is our first year of participation in the speech and interactive tracks. We found the participation in both of these tracks of great benefit and interest. 2 Full Description of Techniques In this section of the paper we will give as complete a description as we can of our methodology. We do so by describing the following: term definition, casefolding, stopping, and stemming. This defines the terms that we use. We then give the formula used for matching. After this we give exact descriptions of how we carry out passage retrieval, term expansion, and combination. A term is a sequence of characters chosen from the alphabet fa--z,A--Z,0--9g. The sequence has a maximum length of 256 but if the string consists solely of numbers a maximum length of 4 applies. All other characters are treated as term d
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