307 research outputs found

    ReInform: Selecting paths with reinforcement learning for contextualized link prediction

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    We propose to use reinforcement learning to inform transformer-based contextualized link prediction models by providing paths that are most useful for predicting the correct answer. This is in contrast to previous approaches, that either used reinforcement learning (RL) to directly search for the answer, or based their prediction on limited or randomly selected context. Our experiments on WN18RR and FB15k-237 show that contextualized link prediction models consistently outperform RL-based answer search, and that additional improvements (of up to 13.5\% MRR) can be gained by combining RL with a link prediction model

    Scorzonera sensu lato (Asteraceae, Cichorieae) – taxonomic reassessment in the light of new molecular phylogenetic and carpological analyses

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    Scorzonera comprises 180–190 species and belongs to the subtribe Scorzonerinae. Its circumscription has long been the subject of debate and available molecular phylogenetic analyses affirmed the polyphyly of Scorzonera in its wide sense. We provide a re-evaluation of Scorzonera and other related genera, based on carpological (including anatomical) and extended molecular phylogenetic analyses. We present, for the first time, a comprehensive sampling, including Scorzonera in its widest sense and all other genera recognised in the Scorzonerinae. We conducted phylogenetic analyses using Maximum Parsimony, Maximum Likelihood and Bayesian analyses, based on sequences of the nuclear ribosomal ITS and of two plastid markers (partial rbcL and matK) and Maximum Parsimony for reconstructing the carpological character states at ancestral nodes. Achene characters, especially related to pericarp anatomy, such as general topography of the tissue types, disposition of the mechanical tissue and direction of its fibres, presence or absence of air cavities, provide, in certain cases, support for the phylogenetic lineages revealed. Confirming the polyphyly of Scorzonera, we propose a revised classification of the subtribe, accepting the genera Scorzonera (including four major clades: Scorzonera s. str., S. purpurea, S. albicaulis and Podospermum), Gelasia, Lipschitzia gen. nov. (for the Scorzonera divaricata clade), Pseudopodospermum, Pterachaenia (also including Scorzonera codringtonii), Ramaliella gen. nov. (for the S. polyclada clade) and Takhtajaniantha. A key to the revised genera and a characterisation of the genera and major clades are provided

    Mounting Replicas in Stories of Angara Area Residents as Compositional Feature of Oral Narrative

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    Compositional technique, which is regularly found in the oral stories (narratives) of natives and residents of areas of the Angara river, - insert replicas, which are essentially collapsed themes (micro-themes) are considered for the first time. It is noted that insert have a complete composition. It is argued that the appearance of such speech structures is determined by the high importance of designated content for the narrator. The author defines the structure of the narrative as a relatively arbitrary: inset replicas appear in the place of the narrative, which seems appropriate to the speaker. The presence of such micro-thematic inserts allowed the author to assume that the informant, telling about one event or period of his / her life, at the same time implies a general picture of the narrative, that is, correlates the content of the replica with a holistic view of himself in the opposition β€œpart - whole”. For example, as it was shown by the analysis of the collected material, the appearance of insert remarks about the death of relatives (a kind of folded β€œtexts of death”) is dictated not by the logic and the topic of conversation, but by the metha-communicative task of the speaker. The narrator seems to perform mandatory labeling of the main stages of the human life cycle: birth - living - death. The author calls the content of such replicas micro-genealogy, as they are a brief mention of all the family members

    Climatically driven loss of calcium in steppe soil as a sink for atmospheric carbon

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    During the last several thousand years the semi‐arid, cold climate of the Russian steppe formed highly fertile soils rich in organic carbon and calcium (classified as Chernozems in the Russian system). Analysis of archived soil samples collected in Kemannaya Steppe Preserve in 1920, 1947, 1970, and fresh samples collected in 1998 indicated that the native steppe Chernozems, however, lost 17–28 kg mβˆ’2 of calcium in the form of carbonates in 1970–1998. Here we demonstrate that the loss of calcium was caused by fundamental shift in the steppe hydrologic balance. Previously unleached soils where precipitation was less than potential evapotranspiration are now being leached due to increased precipitation and, possibly, due to decreased actual evapotranspiration. Because this region receives low levels of acidic deposition, the dissolution of carbonates involves the consumption of atmospheric CO2. Our estimates indicate that this climatically driven terrestrial sink of atmospheric CO2 is ∼2.1–7.4 g C mβˆ’2 aβˆ’1. In addition to the net sink of atmospheric carbon, leaching of pedogenic carbonates significantly amplified seasonal amplitude of CO2 exchange between atmosphere and steppe soil

    Π›ΡƒΡ‡Π΅Π²Ρ‹Π΅ проявлСния Π½ΠΎΠ²ΠΎΠΉ коронавирусной ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ COVID-19

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    Purpose. To evaluate the radiological patterns of a new COVID-19 coronavirus infection. Materials and methods. Review of literature sources. Results. COVID-19 causes the acute severe viral pneumonia. Radiological diagnostics of COVID-19 is very important, because CT can be the first study that shows the signs of viral lung lesion, and allows to assess the severity of the lesion and adverse prognostic signs of its further development. The initial CT pattern of COVID-19 is a pattern of infiltration of secondary pulmonary lobules on the type of Β«frosted glassΒ» (a symptom of Β«dry leafΒ») with a subsequent decrease in the volume of lesions at favorable results, or their increase, accession of CT pattern of Β«cobblestone roadΒ» and the appearance inΒ the area of Β«frosted glassΒ» the alveolar infiltration in unfavorable course of disease. These symptoms are the precursors to the development of respiratory distress syndrome. At a later primary examination, the primary CT symptoms are the pattern of Β«cobblestone roadΒ» and areas of alveolar infiltration, which correlates with an unfavorable further course and outcome. There was noted that viral pneumonia in COVID-19 was characterized by the location of changes in the posterior subpleural and peribronchial areas. All authors confirmed that cavities, nodules, pleural and pericardial effusions, and lymphadenopathy were absent in COVID-19. In the course of observation, quantitative characteristics of the lesions with a score were proposed, the use of which can help in determining the prognosis. Also identified temporary staging of the process and the formation in some of patients the residual changes in the lungs the same as in influenza pneumonia H1N1 (2008–9Π³Π³, 2015–16.) and SARS SARS-CoV-2 (2003)which can start the process of development of progressive pulmonary fibrosis. There is a need for frequent CT studies (every 4 days) to enable timely assessment of rapid dynamics and changes in treatment tactics. The analysis of the results of the examination should be performed by at least 2 radiologists experienced in thoracic radiology, with the involvement of a third independent expert, in case of disagreement. All the authors confirmed the low information content of traditional radiography in assessing viral lung lesions. In some studies, chest radiographs were not performed, only CT as a more sensitive method for detecting early changes, similar to previous outbreaks of coronavirus. However, the role of traditional radiography was recognized as unquestionable when evaluating changes in reanimation department conditions. Conclusions. The accumulation of experience in clinical and radiological examination of COVID-19 patients allowed to determine the radiological semiotics of the process, which is important for determining the treatment tactics.ЦСль исслСдования: ΠΎΡ†Π΅Π½ΠΈΡ‚ΡŒ Π»ΡƒΡ‡Π΅Π²Ρ‹Π΅ ΠΏΠ°Ρ‚Ρ‚Π΅Ρ€Π½Ρ‹ Π½ΠΎΠ²ΠΎΠΉ коронавирусной ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ COVID-19. ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. ΠžΠ±Π·ΠΎΡ€ Π»ΠΈΡ‚Π΅Ρ€Π°Ρ‚ΡƒΡ€Π½Ρ‹Ρ… источников. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. COVID-19 Π²Ρ‹Π·Ρ‹Π²Π°Π΅Ρ‚ ΠΎΡΡ‚Ρ€ΡƒΡŽ Ρ‚ΡΠΆΠ΅Π»ΡƒΡŽ Ρ„ΠΎΡ€ΠΌΡƒ вирусной ΠΏΠ½Π΅Π²ΠΌΠΎΠ½ΠΈΠΈ. ЛучСвая диагностика COVID-19 ΠΎΡ‡Π΅Π½ΡŒ Π²Π°ΠΆΠ½Π°, Ρ‚Π°ΠΊ ΠΊΠ°ΠΊ ΠΊΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½Π°Ρ томография (КВ) ΠΌΠΎΠΆΠ΅Ρ‚ Π±Ρ‹Ρ‚ΡŒ ΠΏΠ΅Ρ€Π²Ρ‹ΠΌ исслСдованиСм, ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠ΅ дСмонстрируСт ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠΈ вирусного пораТСния Π»Π΅Π³ΠΊΠΈΡ…, позволяСт ΠΎΡ†Π΅Π½ΠΈΡ‚ΡŒ Ρ‚ΡΠΆΠ΅ΡΡ‚ΡŒ пораТСния ΠΈ нСблагоприятныС прогностичСскиС ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠΈ Π΅Π³ΠΎ дальнСйшСго развития. ΠŸΠ΅Ρ€Π²ΠΈΡ‡Π½Ρ‹ΠΌ КВ-ΠΏΠ°Ρ‚Ρ‚Π΅Ρ€Π½ΠΎΠΌ COVID-19 являСтся ΠΊΠ°Ρ€Ρ‚ΠΈΠ½Π° ΠΈΠ½Ρ„ΠΈΠ»ΡŒΡ‚Ρ€Π°Ρ†ΠΈΠΈ ΠΎΡ‚Π΄Π΅Π»ΡŒΠ½Ρ‹Ρ… Π²Ρ‚ΠΎΡ€ΠΈΡ‡Π½Ρ‹Ρ… Π»Π΅Π³ΠΎΡ‡Π½Ρ‹Ρ… Π΄ΠΎΠ»Π΅ΠΊ ΠΏΠΎ Ρ‚ΠΈΠΏΡƒ Β«ΠΌΠ°Ρ‚ΠΎΠ²ΠΎΠ³ΠΎ стСкла» (симптом «сухого листа») с ΠΏΠΎΡΠ»Π΅Π΄ΡƒΡŽΡ‰ΠΈΠΌ ΡƒΠΌΠ΅Π½ΡŒΡˆΠ΅Π½ΠΈΠ΅ΠΌ объСма пораТСния ΠΏΡ€ΠΈ благоприятном Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΠΈ событий Π»ΠΈΠ±ΠΎ ΠΈΡ… нарастании, присоСдинСнии КВ-ΠΊΠ°Ρ€Ρ‚ΠΈΠ½Ρ‹ Β«Π±ΡƒΠ»Ρ‹ΠΆΠ½ΠΎΠΉ мостовой» ΠΈ появлСнии Π² Π·ΠΎΠ½Π΅ Β«ΠΌΠ°Ρ‚ΠΎΠ²ΠΎΠ³ΠΎ стСкла» Π°Π»ΡŒΠ²Π΅ΠΎΠ»ΡΡ€Π½ΠΎΠΉ ΠΈΠ½Ρ„ΠΈΠ»ΡŒΡ‚Ρ€Π°Ρ†ΠΈΠΈ ΠΏΡ€ΠΈ нСблагоприятном Π²Π°Ρ€ΠΈΠ°Π½Ρ‚Π΅ тСчСния заболСвания. Π­Ρ‚ΠΈ симптомы ΡΠ²Π»ΡΡŽΡ‚ΡΡ прСдвСстниками развития рСспираторного дистрСсс-синдрома. ΠŸΡ€ΠΈ Π±ΠΎΠ»Π΅Π΅ ΠΏΠΎΠ·Π΄Π½Π΅ΠΌ ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠΌ обслСдовании ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½Ρ‹ΠΌΠΈ КВ-симптомами становится ΠΏΠ°Ρ‚Ρ‚Π΅Ρ€Π½ Β«Π±ΡƒΠ»Ρ‹ΠΆΠ½ΠΎΠΉ мостовой» ΠΈ участки Π°Π»ΡŒΠ²Π΅ΠΎΠ»ΡΡ€Π½ΠΎΠΉ ΠΈΠ½Ρ„ΠΈΠ»ΡŒΡ‚Ρ€Π°Ρ†ΠΈΠΈ, Ρ‡Ρ‚ΠΎ ΠΊΠΎΡ€Ρ€Π΅Π»ΠΈΡ€ΡƒΠ΅Ρ‚ с нСблагоприятным дальнСйшим Ρ‚Π΅Ρ‡Π΅Π½ΠΈΠ΅ΠΌ ΠΈ исходом. ΠžΡ‚ΠΌΠ΅Ρ‡Π΅Π½ΠΎ, Ρ‡Ρ‚ΠΎ для вирусной ΠΏΠ½Π΅Π²ΠΌΠΎΠ½ΠΈΠΈ ΠΏΡ€ΠΈ COVID-19 Π±Ρ‹Π»ΠΎ Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€Π½ΠΎ располоТСниС ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ Π² Π·Π°Π΄Π½ΠΈΡ… ΡΡƒΠ±ΠΏΠ»Π΅Π²Ρ€Π°Π»ΡŒΠ½Ρ‹Ρ… ΠΈ ΠΏΠ΅Ρ€ΠΈΠ±Ρ€ΠΎΠ½Ρ…ΠΈΠ°Π»ΡŒΠ½Ρ‹Ρ… ΠΎΡ‚Π΄Π΅Π»Π°Ρ…. ВсС Π°Π²Ρ‚ΠΎΡ€Ρ‹ ΠΏΠΎΠ΄Ρ‚Π²Π΅Ρ€ΠΆΠ΄Π°Π»ΠΈ, Ρ‡Ρ‚ΠΎ полости, ΡƒΠ·Π»ΠΎΠ²Ρ‹Π΅ образования, ΠΏΠ»Π΅Π²Ρ€Π°Π»ΡŒΠ½Ρ‹Π΅ ΠΈ ΠΏΠ΅Ρ€ΠΈΠΊΠ°Ρ€Π΄ΠΈΠ°Π»ΡŒΠ½Ρ‹Π΅ Π²Ρ‹ΠΏΠΎΡ‚Ρ‹ ΠΈ лимфадСнопатия ΠΏΡ€ΠΈ COVID-19 отсутствовали. Π’ процСссС наблюдСния Π±Ρ‹Π»ΠΈ ΠΏΡ€Π΅Π΄Π»ΠΎΠΆΠ΅Π½Ρ‹ количСствСнныС характСристики пораТСния с балльной ΠΎΡ†Π΅Π½ΠΊΠΎΠΉ, использованиС ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… ΠΌΠΎΠΆΠ΅Ρ‚ ΠΏΠΎΠΌΠΎΡ‡ΡŒ Π² ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½ΠΈΠΈ ΠΏΡ€ΠΎΠ³Π½ΠΎΠ·Π°. Π’Π°ΠΊΠΆΠ΅ Π±Ρ‹Π»Π° ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½Π° врСмСнная ΡΡ‚Π°Π΄ΠΈΠΉΠ½ΠΎΡΡ‚ΡŒ процСсса ΠΈ Ρ„ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ Ρƒ части Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… остаточных ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ Π² Π»Π΅Π³ΠΊΠΈΡ…, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅, ΠΊΠ°ΠΊ ΠΏΡ€ΠΈ Π³Ρ€ΠΈΠΏΠΏΠΎΠ·Π½ΠΎΠΉ ΠΏΠ½Π΅Π²ΠΌΠΎΠ½ΠΈΠΈ H1N1 (2008–2019 Π³Π³., 2015–2016 Π³Π³.) ΠΈ Π°Ρ‚ΠΈΠΏΠΈΡ‡Π½ΠΎΠΉ ΠΏΠ½Π΅Π²ΠΌΠΎΠ½ΠΈΠΈ SARS-CoV-2 (2003 Π³.), ΠΌΠΎΠ³ΡƒΡ‚ Π·Π°ΠΏΡƒΡΠΊΠ°Ρ‚ΡŒ процСссы развития ΠΏΡ€ΠΎΠ³Ρ€Π΅ΡΡΠΈΡ€ΡƒΡŽΡ‰Π΅Π³ΠΎ Π»Π΅Π³ΠΎΡ‡Π½ΠΎΠ³ΠΎ Ρ„ΠΈΠ±Ρ€ΠΎΠ·Π°. ΠžΡ‚ΠΌΠ΅Ρ‡Π°Π΅Ρ‚ΡΡ Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΠΎΡΡ‚ΡŒ частого провСдСния КВ-исслСдований (ΠΊΠ°ΠΆΠ΄Ρ‹Π΅ 4 дня) для возмоТности своСврСмСнной ΠΎΡ†Π΅Π½ΠΊΠΈ быстрой Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ ΠΈ измСнСния Π»Π΅Ρ‡Π΅Π±Π½ΠΎΠΉ Ρ‚Π°ΠΊΡ‚ΠΈΠΊΠΈ. Анализ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² обслСдования Π΄ΠΎΠ»ΠΆΠ½Ρ‹ ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΡ‚ΡŒ ΠΌΠΈΠ½ΠΈΠΌΡƒΠΌ Π΄Π²Π° Ρ€Π΅Π½Ρ‚Π³Π΅Π½ΠΎΠ»ΠΎΠ³Π°, ΠΈΠΌΠ΅ΡŽΡ‰ΠΈΡ… ΠΎΠΏΡ‹Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹ Π² Ρ‚ΠΎΡ€Π°ΠΊΠ°Π»ΡŒΠ½ΠΎΠΉ Ρ€Π°Π΄ΠΈΠΎΠ»ΠΎΠ³ΠΈΠΈ, с ΠΏΡ€ΠΈΠ²Π»Π΅Ρ‡Π΅Π½ΠΈΠ΅ΠΌ Ρ‚Ρ€Π΅Ρ‚ΡŒΠ΅Π³ΠΎ нСзависимого экспСрта, Π² случаС расхоТдСния ΠΌΠ½Π΅Π½ΠΈΠΉ. ВсС Π°Π²Ρ‚ΠΎΡ€Ρ‹ ΠΏΠΎΠ΄Ρ‚Π²Π΅Ρ€ΠΆΠ΄Π°Π»ΠΈ Π½ΠΈΠ·ΠΊΡƒΡŽ ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒ Ρ‚Ρ€Π°Π΄ΠΈΡ†ΠΈΠΎΠ½Π½ΠΎΠΉ Ρ€Π΅Π½Ρ‚Π³Π΅Π½ΠΎΠ³Ρ€Π°Ρ„ΠΈΠΈ Π² ΠΎΡ†Π΅Π½ΠΊΠ΅ вирусного пораТСния Π»Π΅Π³ΠΊΠΈΡ…, Π² Π½Π΅ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… исслСдованиях Π½Π΅ Π²Ρ‹ΠΏΠΎΠ»Π½ΡΠ»Π°ΡΡŒ рСнтгСнография Π³Ρ€ΡƒΠ΄Π½ΠΎΠΉ ΠΊΠ»Π΅Ρ‚ΠΊΠΈ, примСняли Ρ‚ΠΎΠ»ΡŒΠΊΠΎ КВ ΠΊΠ°ΠΊ Π±ΠΎΠ»Π΅Π΅ Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹ΠΉ ΠΌΠ΅Ρ‚ΠΎΠ΄ выявлСния Ρ€Π°Π½Π½ΠΈΡ… ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ, ΠΏΠΎ Π°Π½Π°Π»ΠΎΠ³ΠΈΠΈ с ΠΏΡ€Π΅Π΄Ρ‹Π΄ΡƒΡ‰ΠΈΠΌΠΈ Π²ΡΠΏΡ‹ΡˆΠΊΠ°ΠΌΠΈ коронавируса. Однако Ρ€ΠΎΠ»ΡŒ Ρ‚Ρ€Π°Π΄ΠΈΡ†ΠΈΠΎΠ½Π½ΠΎΠΉ Ρ€Π΅Π½Ρ‚Π³Π΅Π½ΠΎΠ³Ρ€Π°Ρ„ΠΈΠΈ ΠΏΡ€ΠΈΠ·Π½Π°Π²Π°Π»Π°ΡΡŒ нСсомнСнной ΠΏΡ€ΠΈ ΠΎΡ†Π΅Π½ΠΊΠ΅ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ Π² условиях Ρ€Π΅Π°Π½ΠΈΠΌΠ°Ρ†ΠΈΠΈ. Π’Ρ‹Π²ΠΎΠ΄Ρ‹. НакоплСниС ΠΎΠΏΡ‹Ρ‚Π° ΠΊΠ»ΠΈΠ½ΠΈΠΊΠΎ-Π»ΡƒΡ‡Π΅Π²ΠΎΠ³ΠΎ обслСдования Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… COVID-19 ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ» ΠΎΠΏΡ€Π΅Π΄Π΅Π»ΠΈΡ‚ΡŒ Π»ΡƒΡ‡Π΅Π²ΡƒΡŽ сСмиотику процСсса, Π²Π°ΠΆΠ½ΡƒΡŽ для опрСдСлСния Π»Π΅Ρ‡Π΅Π±Π½ΠΎΠΉ Ρ‚Π°ΠΊΡ‚ΠΈΠΊΠΈ
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