... (MM-siRNA) (5’-GGCGUGUCUCUCU UACGAC-3”). SiRNAs targeting the cDNA sequence of rat TLR4 (GenBank accession NM_019178) were: 5’-CUACCAACAGAGAGGAUAU-3” (siRNA1), 5’-GUCUCAGAUAUCUAGAUCU-3’ (siRNA2), ... hyperalgesia The paw withdrawal latency (PWL) to radiant heat and paw withdrawal threshold (PWT) were used to evaluate thermal hyperalgesia and mechanical al-lodynia respectively as previously ... Sweden). Histone3 (Sigma, St. Louis, MO, USA, 1:500) was used as an internal control. Statistical analyses Data are expressed as mean ± standard deviation (SD). Statistical analyses were performed...
... Systems Modelling Data-base and can be accessed at http://jjj.biochem.sun.ac.za/database/curien/index.html free of charge.Materials and methodsChemicalsATP, Hepes, homoserine, NADH, AdoMet, lactate ... can be calculated as follows: ELISA assays werecarried out using rabbit antibodies raised against therecombinant proteins [12,14] and purified proteins asstandards. We measured that an extract ... environment of the Phser branch-point in Arabidopsisleaf chloroplast. RJI¼ a means that a 1% change in I around a givenvalue promotes an a percent change in flux J. A negative value meansthat input...
... tagging and sta-tistical parsing, this can be at least partly explained bythe fact that humans vary widely in how many of theiropportunities for placing a backchannel continuer theyactually ... Interaction and Grammar,chapter 3. CUP, Cambridge.J. Hirasawa, M. Nakano, T. Kawabata, and K. Aikawa. 1999.Effects of system barge-in responses on user impressions.In Sixth European Conference ... Tutiya, A. Ichikawa, and Y. Den.1998. An analysis of turn-taking and backchannels. lan-guage and Speech, 23:296-321.S. Lamia, G. Bugmann, T. Kyriacou, J. Bos, and E. Klein.2001. Training...
... hierarchical structure of vari-ous datasets (Hofmann, 1999; Blei et al., 2010; Liet al., 2007). Our purpose here is more specializedand similar to that of Labeled LDA (Ramage et al.,200 9a) ... Reisinger and Marius Pa¸sca. 2009. Latent vari-able models of concept-attribute attachment. In ACL-IJCNLP ’09: Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the ... Computationallinguistics, pages 495–501.Daniel Ramage, David Hall, Ramesh Nallapati, andChristopher D. Manning. 200 9a. Labeled lda: A supervised topic model for credit attribution in multi-labeled corpora. In...
... query expansion (Macdonald and Ounis, 2007), hierarchical lan-guage model (Petkova and Croft, 2006), and for-mal model generation (Balog et al., 2006; Fang et al., 2006). However, all of them ... esti-mated by the PageRank, which is calculated using a standard iterative algorithm with a damping fac-tor of 0.85 (Brin and Page, 1998). Dynamic quality: by “dynamic”, we mean the quality ... Alias, new email (NAE) 7% / 0.4600 Ritiwari rti-wari@hotmail.com Table 1. Various masks and their ambiguity 1) Every occurrence ofa candidate’s email address is normalized to the appropriate...
... M. Sato, M. Nakagawa and N.Makoshi. 2004. Tele-Synopsis for Biblical Research:Development of NLP based Synoptic Software for TextAnalysis as a Mediator of Educational Technology andKnowledge ... linguistic and literary-critical approachesto text-reuse analysis, and can be especially help-ful when dealing with a large amount of candidatesource texts.AcknowledgementsThis work grew out ofa ... alternation patterns. These features were val-idated on the Lukan Passion Narrative, an instance of text reuse in the Greek New Testament.The model s predictions on this passage are com-pared...
... background information it could take advantage of. The reason is that too many queries makes the pro- gram loses its appeal as a work-saving device. A related limitation is that its modelof ... edges can be traversed (although hey are 1023 A Computational Modelof Social Perlocutions David Pautler and Alex Quilici University of Hawaii at Manoa Department of Electrical Engineering ... that are capable of generating socially appropriate text. This paper provides a computational modelof aocial perlocutionJ, and it describes how this model has been used to construct an automated...
... Tonology. Kaitakusha, Tokyo. Kaplan, Ronald and Joan Bresnan (1982) Lexical Functional Grammar: A Formal System for Grammatical Representation. in The Mental Representation of Grammatical Relations, ... verbal - adnominal warau (that laughs), amakatta (that was sweet) The bunsetsu generally behaves as a prosodic unit. Although the syntactic structure ofa phrase like (1) is generally taken ... argue instead for the theory assumed here, and a preliminary treatment is presented. A CATEGORIAL UNIFICATION APPROACH TO JAPANESE I will identify the fundamental unit of Japanese syntax...
... demographics. Focusing on the IV estimates, it can be seen that the birth weight of babies in rural areas is lower than that of urban babies, and that male infants are heavier than female infants.5 ... complementarity of tetanus vaccination with prenatal care inputs that enhance birth weight. Dow et al. (1999) ague that a mother’s consumption of tetanus vaccination increases survival chances of ... 1997; Victora et al., 2008). Thus, birth weight is not merely a measure of health of an infant, but is also an indicator of the infant’s potential for survival both as a child, and as an adult....
... stability of the SU-2MR chains ex-ceeds those of ES-2MR chains and also rings as n >8.Itis indicated that ES-2MR chains would be more favora-ble in the initial stage of the silica nanoparticle ... silica-w at high temperature [15], but also inSi–O-plasma reactions [16] as well as in the condensa-tion of vicinal hydroxyls or the thermodynamic rear-rangement of the pure silica structure at ... SU-2MR chain at n = 12, respec-tively. The energy gap is a signature of the chemical re-activity ofa system. Compared to the ES-2MR chains,the relatively smaller gaps of SU-2MR chains indicatehigher...
... non-parametric Bayesian approach to extract structureddatabases of entities. A fundamental difference of our approach from any of the previous work is itmaximizes conditional likelihood and ... 884size of mention vocabulary 666 1,177size of context vocabulary 2,934 2,844Table 2: Descriptive statistics about the datasets.Association, National Football League, and MajorLeague Baseball) ... predefinedtemplates using Bayesian nonparametrics (Haghighiand Klein, 2010) and automatically learns templatestructures using agglomerative clustering (Cham-bers and Jurafsky, 2011). Charniak (2001) and...
... domain of incremental language compre-hension, especially, there is a substantial amount of computational work suggesting that humans be-have rationally (e.g., Jurafsky, 1996; Narayanan &Jurafsky, ... values of α and β , whichgo up (slower reading) as γ goes down (valuingaccuracy more than time). In addition, we see thatthe average results of reading at these parametervalues are also as ... previous models of reading related to thegoals ofa reader, such as how should reading be-havior change as accuracy is valued more.There are a number of obvious ways for the model to move forward....
... non-empty utterances. 4CALLHOME transcribers separated utterances at a ~e aker change or a long pause, or if the semantics or syntax of language indicated the end of an utterance. from a centering ... Comparison of three alternative centering models for dialog 5.1 Empty Cb's Each of our models leaves at least 52% of non- empty utterances with no prediction of the Cb (Cfn-1 and Cfn are ... compared their results and agreed upon a reconciled version of the data, which was used to produce the results reported in Section 5. Annotator accuracy as measured against the reconciled data...
... katakana katakana-kanji kanji-hiragana hiragana kanji-katakana kat akana-symbol-katakana number kanji-hiragana-kanji alphabet kanji-hir agana-kanji-hir agana hiragana-kanji percent 45.1% ... using a Statistical Modelof Morphology and Context Masaaki NAGATA NTT Cyber Space Laboratories 1-1 Hikari-no-oka Yokosuka-Shi Kanagawa, 239-0847 Japan nagata@nttnly, isl. ntt. co. jp Abstract ... science. Kanji words are shorter than katakana words because kanji is based on a large (> 6,000) alphabet of ideograms while katakana is based on a small (< 100) alphabet of phonograms. Table...