1,067 research outputs found

    Large-scale Hierarchical Alignment for Data-driven Text Rewriting

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    We propose a simple unsupervised method for extracting pseudo-parallel monolingual sentence pairs from comparable corpora representative of two different text styles, such as news articles and scientific papers. Our approach does not require a seed parallel corpus, but instead relies solely on hierarchical search over pre-trained embeddings of documents and sentences. We demonstrate the effectiveness of our method through automatic and extrinsic evaluation on text simplification from the normal to the Simple Wikipedia. We show that pseudo-parallel sentences extracted with our method not only supplement existing parallel data, but can even lead to competitive performance on their own.Comment: RANLP 201

    Infinite dimensional Lie algebras in 4D conformal quantum field theory

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    The concept of global conformal invariance (GCI) opens the way of applying algebraic techniques, developed in the context of 2-dimensional chiral conformal field theory, to a higher (even) dimensional space-time. In particular, a system of GCI scalar fields of conformal dimension two gives rise to a Lie algebra of harmonic bilocal fields, V_m(x,y), where the m span a finite dimensional real matrix algebra M closed under transposition. The associative algebra M is irreducible iff its commutant M' coincides with one of the three real division rings. The Lie algebra of (the modes of) the bilocal fields is in each case an infinite dimensional Lie algebra: a central extension of sp(infty,R) corresponding to the field R of reals, of u(infty,infty) associated to the field C of complex numbers, and of so*(4 infty) related to the algebra H of quaternions. They give rise to quantum field theory models with superselection sectors governed by the (global) gauge groups O(N), U(N), and U(N,H)=Sp(2N), respectively.Comment: 16 pages, with minor improvements as to appear in J. Phys.

    Character-level Chinese-English Translation through ASCII Encoding

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    Character-level Neural Machine Translation (NMT) models have recently achieved impressive results on many language pairs. They mainly do well for Indo-European language pairs, where the languages share the same writing system. However, for translating between Chinese and English, the gap between the two different writing systems poses a major challenge because of a lack of systematic correspondence between the individual linguistic units. In this paper, we enable character-level NMT for Chinese, by breaking down Chinese characters into linguistic units similar to that of Indo-European languages. We use the Wubi encoding scheme, which preserves the original shape and semantic information of the characters, while also being reversible. We show promising results from training Wubi-based models on the character- and subword-level with recurrent as well as convolutional models.Comment: 7 pages, 3 figures, 3rd Conference on Machine Translation (WMT18), 201

    Embedding-based Scientific Literature Discovery in a Text Editor Application

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    Each claim in a research paper requires all relevant prior knowledge to be discovered, assimilated, and appropriately cited. However, despite the availability of powerful search engines and sophisticated text editing software, discovering relevant papers and integrating the knowledge into a manuscript remain complex tasks associated with high cognitive load. To define comprehensive search queries requires strong motivation from authors, irrespective of their familiarity with the research field. Moreover, switching between independent applications for literature discovery, bibliography management, reading papers, and writing text burdens authors further and interrupts their creative process. Here, we present a web application that combines text editing and literature discovery in an interactive user interface. The application is equipped with a search engine that couples Boolean keyword filtering with nearest neighbor search over text embeddings, providing a discovery experience tuned to an author's manuscript and his interests. Our application aims to take a step towards more enjoyable and effortless academic writing. The demo of the application (https://SciEditorDemo2020.herokuapp.com/) and a short video tutorial (https://youtu.be/pkdVU60IcRc) are available online

    PECULIARITIES IN THE CLINICAL COURSE OF GUILLAIN-BARRE'S POLYRADICULONEURITIS

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    Physical properties, starspot activity, orbital obliquity, and transmission spectrum of the Qatar-2 planetary system from multi-colour photometry

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    We present seventeen high-precision light curves of five transits of the planet Qatar-2b, obtained from four defocussed 2m-class telescopes. Three of the transits were observed simultaneously in the SDSS griz passbands using the seven-beam GROND imager on the MPG/ESO 2.2-m telescope. A fourth was observed simultaneously in Gunn grz using the CAHA 2.2-m telescope with BUSCA, and in r using the Cassini 1.52-m telescope. Every light curve shows small anomalies due to the passage of the planetary shadow over a cool spot on the surface of the host star. We fit the light curves with the prism+gemc model to obtain the photometric parameters of the system and the position, size and contrast of each spot. We use these photometric parameters and published spectroscopic measurements to obtain the physical properties of the system to high precision, finding a larger radius and lower density for both star and planet than previously thought. By tracking the change in position of one starspot between two transit observations we measure the orbital obliquity of Qatar-2 b to be 4.3 \pm 4.5 degree, strongly indicating an alignment of the stellar spin with the orbit of the planet. We calculate the rotation period and velocity of the cool host star to be 11.4 \pm 0.5 d and 3.28 \pm 0.13 km/s at a colatitude of 74 degree. We assemble the planet's transmission spectrum over the 386-976 nm wavelength range and search for variations of the measured radius of Qatar-2 b as a function of wavelength. Our analysis highlights a possible H2/He Rayleigh scattering in the blue.Comment: 20 pages, 14 figures, to appear in Monthly Notices of the Royal Astronomical Societ

    ЀлСксибилната Сндоскопия ΠΏΡ€ΠΈ заболявания Π½Π° Π³ΠΎΡ€Π½ΠΈΡ‚Π΅ Π΄ΠΈΡ…Π°Ρ‚Π΅Π»Π½ΠΈ ΠΏΡŠΡ‚ΠΈΡ‰Π° – диагностични Ρ€Π΅Π·ΡƒΠ»Ρ‚Π°Ρ‚ΠΈ ΠΈ ΠΏΠΎΠ»Π·ΠΈ

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    Π¦Π΅Π»ΠΈΡ‚Π΅ Π½Π° Ρ‚Π°Π·ΠΈ статия са Π΄Π° сС ΠΏΡ€ΠΎΡƒΡ‡Π°Ρ‚ ΠΈ ΠΈΠ·Π»ΠΎΠΆΠ°Ρ‚ Π²ΡŠΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ΠΈΡ‚Π΅ ΠΈ прСдимствата Π½Π° флСксибилната Сндоскопия Π½Π° Π³ΠΎΡ€Π½ΠΈΡ‚Π΅ Π΄ΠΈΡ…Π°Ρ‚Π΅Π»Π½ΠΈ ΠΏΡŠΡ‚ΠΈΡ‰Π° Π² ΠΎΡ‚ΠΎΡ€ΠΈΠ½ΠΎΠ»Π°Ρ€ΠΈΠ½Π³ΠΎΠ»ΠΎΠ³ΠΈΡ‡Π½Π°Ρ‚Π° ΠΏΡ€Π°ΠΊΡ‚ΠΈΠΊΠ°.Π’ΡŠΡ€Ρ…Ρƒ 191 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΈ с Ρ€Π°Π·Π»ΠΈΡ‡Π½ΠΈ заболявания Π½Π° Π³ΠΎΡ€Π½ΠΈΡ‚Π΅ Π΄ΠΈΡ…Π°Ρ‚Π΅Π»Π½ΠΈ ΠΏΡŠΡ‚ΠΈΡ‰Π° Π·Π° ΠΏΠ΅Ρ€ΠΈΠΎΠ΄Π° юни 2008 Π΄ΠΎ юни 2011 Π³., Π² УНГ-ΠΊΠ»ΠΈΠ½ΠΈΠΊΠ° Π½Π° Π£ΠœΠ‘ΠΠ› β€žΠ‘Π². Π“Π΅ΠΎΡ€Π³ΠΈβ€œ – Пловдив ΠΈΠ·Π²ΡŠΡ€ΡˆΠΈΡ…ΠΌΠ΅ Π² Π°ΠΌΠ±ΡƒΠ»Π°Ρ‚ΠΎΡ€Π΅Π½ ΠΏΠΎΡ€ΡΠ΄ΡŠΠΊ ΠΈΠ»ΠΈ ΠΏΡ€ΠΈ Π»Π΅Π³Π»ΠΎΡ‚ΠΎ Π½Π° болния Ρ„ΠΈΠ±Ρ€ΠΎΠ½Π°Π·ΠΎ-Спифаринголарингоскопии. Π˜Π·ΡΠ»Π΅Π΄Π²Π°Π½Π΅Ρ‚ΠΎ ΠΈΠ·Π²ΡŠΡ€ΡˆΠ²Π°Ρ…ΠΌΠ΅ ΠΏΠΎΠ΄ мСстна анСстСзия, с трансназалСн Π΄ΠΎΡΡ‚ΡŠΠΏ ΠΊΠ°Ρ‚ΠΎ ΠΈΠ·ΠΏΠΎΠ»Π·Π²Π°Ρ…ΠΌΠ΅ Π½Π°Π·Π°Π»Π½ΠΈ дСконгСстанти. Показания Π·Π° Сндоскопията Π½Π° горния Π΄ΠΈΡ…Π°Ρ‚Π΅Π»Π΅Π½ ΠΏΡŠΡ‚ бяха – дисфония, дисфагия ΠΈ Π·Π°Ρ‚Ρ€ΡƒΠ΄Π½Π΅Π½ΠΎ носно дишанС ΠΏΡ€ΠΈ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΈ, Π½Π° ΠΊΠΎΠΈΡ‚ΠΎ класичСската ΠΎΠ³Π»Π΅Π΄Π°Π»Π½Π° Π΅ΠΏΠΈΡ„Π°Ρ€ΠΈΠ½Π³ΠΎ ΠΈ ларингоскопия Π½Π΅ Π΄Π°Π²Π°Ρ…Π° ΠΈΠ·Ρ‡Π΅Ρ€ΠΏΠ°Ρ‚Π΅Π»Π½Π° информация Π·Π° поставянСто Π½Π° Π΄ΠΈΠ°Π³Π½ΠΎΠ·Π°Ρ‚Π°, ΠΊΠ°ΠΊΡ‚ΠΎ ΠΈ ΠΏΡ€ΠΈ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΈ с Ρ‚Π΅ΠΆΠΊΠΈ ΠΏΡ€ΠΈΠ΄Ρ€ΡƒΠΆΠ°Π²Π°Ρ‰ΠΈ заболявания, ΠΏΡ€ΠΈ ΠΊΠΎΠΈΡ‚ΠΎ ΠΈΠ·Π²ΡŠΡ€ΡˆΠ²Π°Π½Π΅Ρ‚ΠΎ Π½Π° Π΄ΠΈΡ€Π΅ΠΊΡ‚Π½Π° ларингоскопия ΠΏΠΎΠ΄ ΠΎΠ±Ρ‰Π° анСстСзия бСшС ΠΏΡ€ΠΎΡ‚ΠΈΠ²ΠΎΠΏΠΎΠΊΠ°Π·Π°Π½ΠΎ Π·Π°Ρ€Π°Π΄ΠΈ Ρ‚Π΅ΠΆΠΊΠΈ ΠΏΡ€ΠΈΠ΄Ρ€ΡƒΠΆΠ°Π²Π°Ρ‰ΠΈ заболявания ΠΈ повишСн риск ΠΎΡ‚ ΠΆΠΈΠ²ΠΎΡ‚ΠΎΠ·Π°ΡΡ‚Ρ€Π°ΡˆΠ°Π²Π°Ρ‰ΠΈ ΠΈΠ½Ρ†ΠΈΠ΄Π΅Π½Ρ‚ΠΈ ΠΏΠΎ Π²Ρ€Π΅ΠΌΠ΅ Π½Π° анСстСзията. Π Π°Π±ΠΎΡ‚Π΅Ρ…ΠΌΠ΅ с фибробронхоскоп Olympus с външСн Π΄ΠΈΠ°ΠΌΠ΅Ρ‚ΡŠΡ€ 2,2 ΠΌΠΌ ΠΈ Ρ€Π°Π±ΠΎΡ‚Π΅Π½ ΠΊΠ°Π½Π°Π» 1,2 ΠΌΠΌ снабдСн с Ρ„ΠΈΠ±Ρ€ΠΎΡ‰ΠΈΠΏΠΊΠ°, ΠΊΠΎΠΉΡ‚ΠΎ ΠΈΠ·ΠΏΠΎΠ»Π·Π²Π°Ρ…ΠΌΠ΅ Π·Π° ΠΎΠ³Π»Π΅Π΄ Π½Π° Π΄Π΅Ρ†Π° Π²ΠΊΠ»ΡŽΡ‡ΠΈΡ‚Π΅Π»Π½ΠΎ ΠΈ Π½ΠΎΠ²ΠΎΡ€ΠΎΠ΄Π΅Π½ΠΈ. Π—Π° Π²ΡŠΠ·Ρ€Π°ΡΡ‚Π½ΠΈ ΠΈΠ·ΠΏΠΎΠ»Π·ΡƒΠ²Π°Ρ…ΠΌΠ΅ фибробронхоскоп Karl Storz Ρ„5,2 ΠΌΠΌ с Ρ€Π°Π±ΠΎΡ‚Π΅Π½ ΠΊΠ°Π½Π°Π» 3,2 ΠΌΠΌ. ЀиброСндоскопитС Π°Π΄Π°ΠΏΡ‚ΠΈΡ€Π°Ρ…ΠΌΠ΅ към Сндоскопска Π²ΠΈΠ΄Π΅ΠΎΠΊΠ°ΠΌΠ΅Ρ€Π° Olympus ΡΠ²ΡŠΡ€Π·Π°Π½Π° с Π²ΠΈΠ΄Π΅ΠΎΠΌΠΎΠ½ΠΈΡ‚ΠΎΡ€ ΠΈ записващо DVD Π·Π° фотодокумСнтация. ΠŸΡ€Π΅Π· послСдната Π³ΠΎΠ΄ΠΈΠ½Π° ΠΎΡ‚ Π½Π°ΡˆΠ΅Ρ‚ΠΎ ΠΏΡ€ΠΎΡƒΡ‡Π²Π°Π½Π΅ изслСдванията ΠΈΠ·Π²ΡŠΡ€ΡˆΠ²Π°Ρ…ΠΌΠ΅ със XYON флСксибилСн назофаринголарингоскоп с Π²ΠΈΠ΄Π΅ΠΎΠΌΠΎΠ½ΠΈΡ‚ΠΎΡ€.Π Π΅Π·ΡƒΠ»Ρ‚Π°Ρ‚ΠΈ: На 191 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΈ , ΠΎΡ‚ ΠΊΠΎΠΈΡ‚ΠΎ 151 мъТС (80,29%) ΠΈ 40 ΠΆΠ΅Π½ΠΈ (20.8%), Π½Π° срСдна Π²ΡŠΠ·Ρ€Π°ΡΡ‚ 48.4 Π³ΠΎΠ΄ΠΈΠ½ΠΈ ΠΈΠ·Π²ΡŠΡ€ΡˆΠ²Π°Ρ…ΠΌΠ΅ фиброСндоскопии Π½Π° Π³ΠΎΡ€Π½ΠΈΡ‚Π΅ Π΄ΠΈΡ…Π°Ρ‚Π΅Π»Π½ΠΈ ΠΏΡŠΡ‚ΠΈΡ‰Π°. Най-чСститС заболявания, ΠΊΠΎΠΈΡ‚ΠΎ ΠΎΡ‚ΠΊΡ€ΠΈΡ…ΠΌΠ΅ ΠΏΡ€ΠΈ сСрията ΠΎΡ‚ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΈ бяха слСднитС: Π±Π΅Π½ΠΈΠ³Π½Π΅Π½ΠΈ Π°Π±Π½ΠΎΡ€ΠΌΠ°Π»ΠΈΡ‚Π΅Ρ‚ΠΈ Π½Π° ларинкса 51 (26,7%), ΠΊΠ°Ρ€Ρ†ΠΈΠ½ΠΎΠΌΠΈ Π½Π° ларинкса 24 (12.3%), ΠΊΠ°Ρ€Ρ†ΠΈΠ½ΠΎΠΌΠΈ Π½Π° хипофаринкса 18 (9,2%), ΠΊΠ°Ρ€Ρ†ΠΈΠ½ΠΎΠΌΠΈ Π½Π° Спифаринкса 14 (7,2%), ΠΏΠ°Ρ€Π΅Π·ΠΈ Π½Π° гласнитС Π²Ρ€ΡŠΠ·ΠΊΠΈ 26 (13,4%), Π΅Π΄Π΅ΠΌ Π½Π° ларинкса 8 (4,1%), Π½Π°Π·Π°Π»Π½Π° патология 28 (14,4%) Π²Ρ€ΠΎΠ΄Π΅Π½ΠΈ Π°Π½ΠΎΠΌΠ°Π»ΠΈΠΈ 5 (2,5%), смущСния Π² Π°ΠΊΡ‚Π° Π½Π° Π³ΡŠΠ»Ρ‚Π°Π½Π΅Ρ‚ΠΎ слСд частични Ρ…ΠΎΡ€ΠΈΠ·ΠΎΠ½Ρ‚Π°Π»Π½ΠΈ Ρ€Π΅Π·Π΅ΠΊΡ†ΠΈΠΈ Π½Π° ларинкса ΠΏΠΎ ΠΏΠΎΠ²ΠΎΠ΄ ΠΊΠ°Ρ€Ρ†ΠΈΠ½ΠΎΠΌ 8 (4,1%), Ρ‡ΡƒΠΆΠ΄ΠΈ Ρ‚Π΅Π»Π° Π² носа Π½Π°Π·ΠΎ,хипофаринкса ΠΈ Ρ…Ρ€Π°Π½ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄Π° 6 (3,09%).Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅: ЀлСксибилната Сндоскопия Π½Π° Π³ΠΎΡ€Π½ΠΈΡ‚Π΅ Π΄ΠΈΡ…Π°Ρ‚Π΅Π»Π½ΠΈ ΠΏΡŠΡ‚ΠΈΡ‰Π° Π΅ ΠΈΠ·ΠΊΠ»ΡŽΡ‡ΠΈΡ‚Π΅Π»Π½ΠΎ Π΅Ρ„Π΅ΠΊΡ‚ΠΈΠ²Π½ΠΎ инструмСнтално изслСдванС ΠΏΡ€ΠΈ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΈ с Ρ€Π°Π·Π»ΠΈΡ‡Π½Π° патология Π½Π° Π³ΠΎΡ€Π½ΠΈΡ‚Π΅ Π΄ΠΈΡ…Π°Ρ‚Π΅Π»Π½ΠΈ ΠΏΡŠΡ‚ΠΈΡ‰Π°. ΠŸΡ€ΠΎΡ†Π΅Π΄ΡƒΡ€Π°Ρ‚Π° Π΅ лСсно изпълнима ΠΏΠΎΠ΄ Π»ΠΎΠΊΠ°Π»Π½Π° анСстСзия Π² Π°ΠΌΠ±ΡƒΠ»Π°Ρ‚ΠΎΡ€Π½ΠΈ условия, ΠΊΠ°ΠΊΡ‚ΠΎ ΠΈ ΠΏΡ€ΠΈ Π»Π΅Π³Π»ΠΎΡ‚ΠΎ Π½Π° болния. Π’ΡŠΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ΠΈΡ‚Π΅ Π·Π° Π²Π·ΠΈΠΌΠ°Π½Π΅ Π½Π° биопсии ΠΏΠΎΠ΄ Π»ΠΎΠΊΠ°Π»Π½Π° анСстСзия ΠΏΠΎ Π²Ρ€Π΅ΠΌΠ΅ Π½Π° Сндоскопския ΠΎΠ³Π»Π΅Π΄ я ΠΏΡ€Π°Π²ΠΈ Ρ†Π΅Π½Π΅Π½ ΠΏΡ€ΠΈΠ΄Π°Ρ‚ΡŠΠΊ ΠΊΠ°ΠΊΡ‚ΠΎ Π² ΠΎΠ±Ρ€Π°Π·Π½ΠΎΡ‚ΠΎ изслСдванС Π½Π° горния Π΄ΠΈΡ…Π°Ρ‚Π΅Π»Π΅Π½ ΠΏΡŠΡ‚, Ρ‚Π°ΠΊΠ° ΠΈ Π² хистологичната вСрификация Π½Π° ΠΏΠ°Ρ‚ΠΎΠ»ΠΎΠ³ΠΈΡ‡Π½ΠΈ процСси Π½Π° горният Π΄ΠΈΡ…Π°Ρ‚Π΅Π»Π΅Π½ ΠΏΡŠΡ‚. ВСхнологичният Π½Π°ΠΏΡ€Π΅Π΄ΡŠΠΊ Π² областта Π΄Π°Π²Π° Π²ΡŠΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ Π·Π° създаванС Π½Π° Сндоскопска Π°ΠΏΠ°Ρ€Π°Ρ‚ΡƒΡ€Π°, ΠΏΡ€ΠΈΠ»ΠΎΠΆΠΈΠΌΠ° Π·Π° изслСдвания Π΄ΠΎΡ€ΠΈ ΠΏΡ€ΠΈ Π½ΠΎΠ²ΠΎΡ€ΠΎΠ΄Π΅Π½ΠΈ

    Identification of Distinct Bacillus thuringiensis 4A4 Nematicidal Factors Using the Model Nematodes Pristionchus pacificus and Caenorhabditis elegans

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    Bacillus thuringiensis has been extensively used for the biological control of insect pests. Nematicidal B. thuringiensis strains have also been identified; however, virulence factors of such strains are poorly investigated. Here, we describe virulence factors of the nematicidal B. thuringiensis 4A4 strain, using the model nematodes Pristionchus pacificus and Caenorhabditis elegans. We show that B. thuringiensis 4A4 kills both nematodes via intestinal damage. Whole genome sequencing of B. thuringiensis 4A4 identified Cry21Ha, Cry1Ba, Vip1/Vip2 and Ξ²-exotoxin as potential nematicidal factors. Only Cry21Ha showed toxicity to C. elegans, while neither Cry nor Vip toxins were active against P. pacificus, when expressed in E. coli. Purified crystals also failed to intoxicate P. pacificus, while autoclaved spore-crystal mixture of B. thuringiensis 4A4 retained toxicity, suggesting that primary Ξ²-exotoxin is responsible for P. pacificus killing. In support of this, we found that a Ξ²-exotoxin-deficient variant of B. thuringiensis 4A4, generated by plasmid curing lost virulence to the nematodes. Thus, using two model nematodes we revealed virulence factors of the nematicidal strain B. thuringiensis 4A4 and showed the multifactorial nature of its virulence
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