207 research outputs found

    Conformally maximal metrics for Laplace eigenvalues on surfaces

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    The paper is concerned with the maximization of Laplace eigenvalues on surfaces of given volume with a Riemannian metric in a fixed conformal class. A significant progress on this problem has been recently achieved by Nadirashvili-Sire and Petrides using related, though different methods. In particular, it was shown that for a given kk, the maximum of the kk-th Laplace eigenvalue in a conformal class on a surface is either attained on a metric which is smooth except possibly at a finite number of conical singularities, or it is attained in the limit while a "bubble tree" is formed on a surface. Geometrically, the bubble tree appearing in this setting can be viewed as a union of touching identical round spheres. We present another proof of this statement, developing the approach proposed by the second author and Y. Sire. As a side result, we provide explicit upper bounds on the topological spectrum of surfaces.Comment: 52 pages, 3 figures, added a section on explicit constant in Korevaar's inequality, minor correction

    Drift chamber readout system of the DIRAC experiment

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    A drift chamber readout system of the DIRAC experiment at CERN is presented. The system is intended to read out the signals from planar chambers operating in a high current mode. The sense wire signals are digitized in the 16-channel time-to-digital converter boards which are plugged in the signal plane connectors. This design results in a reduced number of modules, a small number of cables and high noise immunity. The system has been successfully operating in the experiment since 1999

    Conformally maximal metrics for Laplace eigenvalues on surfaces

    Get PDF
    The paper is concerned with the maximization of Laplace eigenvalues on surfaces of given volume with a Riemannian metric in a fixed conformal class. A significant progress on this problem has been recently achieved by Nadirashvili-Sire and Petrides using related, though different methods. In particular, it was shown that for a given k, the maximum of the k-th Laplace eigenvalue in a conformal class on a surface is either attained on a metric which is smooth except possibly at a finite number of conical singularities, or it is attained in the limit while a "bubble tree" is formed on a surface. Geometrically, the bubble tree appearing in this setting can be viewed as a union of touching identical round spheres. We present another proof of this statement, developing the approach proposed by the second author and Y. Sire. As a side result, we provide explicit upper bounds on the topological spectrum of surfaces

    Joint Verification and Reranking for Open Fact Checking Over Tables

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    Structured information is an important knowledge source for automatic verification of factual claims. Nevertheless, the majority of existing research into this task has focused on textual data, and the few recent inquiries into structured data have been for the closed-domain setting where appropriate evidence for each claim is assumed to have already been retrieved. In this paper, we investigate verification over structured data in the open-domain setting, introducing a joint reranking-and-verification model which fuses evidence documents in the verification component. Our open-domain model achieves performance comparable to the closed-domain state-of-the-art on the TabFact dataset, and demonstrates performance gains from the inclusion of multiple tables as well as a significant improvement over a heuristic retrieval baseline

    РСцСнзия Π½Π° ΡΡ‚Π°Ρ‚ΡŒΡŽ Β«ΠŸΠΎΠ»ΠΈΠΌΠΎΡ€Ρ„ΠΈΠ·ΠΌ Π³Π΅Π½Π° ΠΎΠΏΠΈΠΎΠΈΠ΄Π½ΠΎΠ³ΠΎ ΞΌ1-Ρ€Π΅Ρ†Π΅ΠΏΡ‚ΠΎΡ€Π° (OPRM1) ΠΌΠΎΠΆΠ΅Ρ‚ ΠΈΠΌΠ΅Ρ‚ΡŒ Π·Π½Π°Ρ‡Π΅Π½ΠΈΠ΅ Π² Π³Π΅Π½Π΅Π·Π΅ злокачСствСнных Π½ΠΎΠ²ΠΎΠΎΠ±Ρ€Π°Π·ΠΎΠ²Π°Π½ΠΈΠΉ ΠΏΠΎΡ‡ΠΊΠΈΒ»

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    .Π˜Π·ΡƒΡ‡Π΅Π½ΠΈΠ΅ особСнностСй структуры Π³Π΅Π½ΠΎΠ², ΠΏΡ€Π΅Π΄Ρ€Π°ΡΠΏΠΎΠ»Π°Π³Π°ΡŽΡ‰ΠΈΡ… ΠΊ возникновСнию онкологичСских Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ, Π²ΠΊΠ»ΡŽΡ‡Π°Ρ Ρ€Π°ΠΊ ΠΏΠΎΡ‡ΠΊΠΈ, нСсомнСнно, являСтся Π°ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½Ρ‹ΠΌ. Π’ рассматриваСмой Ρ€Π°Π±ΠΎΡ‚Π΅ исслСдовано Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΠ΅ влияниС ΠΏΠΎΠ»ΠΈΠΌΠΎΡ€Ρ„ΠΈΠ·ΠΌΠ° 118A>G Π³Π΅Π½Π° ΠΎΠΏΠΈΠΎΠΈΠ΄Π½ΠΎΠ³ΠΎ ΞΌ-Ρ€Π΅Ρ†Π΅ΠΏΡ‚ΠΎΡ€Π° 1 Ρ‚ΠΈΠΏΠ° (OPRM1) Π½Π° Π²ΠΎΠ·Π½ΠΈΠΊΠ½ΠΎΠ²Π΅Π½ΠΈΠ΅ Ρ€Π°ΠΊΠ° ΠΏΠΎΡ‡ΠΊΠΈ. Π˜ΡΡ…ΠΎΠ΄Ρ ΠΈΠ· ΠΈΠΌΠ΅ΡŽΡ‰ΠΈΡ…ΡΡ Π² Π»ΠΈΡ‚Π΅Ρ€Π°Ρ‚ΡƒΡ€Π΅ Π΄Π°Π½Π½Ρ‹Ρ… ΠΏΠΎ Π½Π΅ΠΊΠΎΡ‚ΠΎΡ€Ρ‹ΠΌ злокачСствСнным опухолям, исслСдованиС Π³Π΅Π½Π° OPRM1 ΠΏΡ€ΠΈ Ρ€Π°ΠΊΠ΅ ΠΏΠΎΡ‡ΠΊΠΈ слСдуСт ΡΡ‡ΠΈΡ‚Π°Ρ‚ΡŒ ΠΎΠΏΡ€Π°Π²Π΄Π°Π½Π½ΠΎΠΉ постановкой вопроса. Π’ обсуТдаСмой Ρ€Π°Π±ΠΎΡ‚Π΅ частота ΠΏΠΎΠ»ΠΈΠΌΠΎΡ€Ρ„ΠΈΠ·ΠΌΠ° 118A>G Π³Π΅Π½Π° OPRM1 ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½Π° Π² Π³Ρ€ΡƒΠΏΠΏΠ°Ρ… доброкачСствСнных ΠΈ злокачСствСнных ΠΎΠΏΡƒΡ…ΠΎΠ»Π΅ΠΉ ΠΏΠΎΡ‡ΠΊΠΈ

    The multilevel trigger system of the DIRAC experiment

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    The multilevel trigger system of the DIRAC experiment at CERN is presented. It includes a fast first level trigger as well as various trigger processors to select events with a pair of pions having a low relative momentum typical of the physical process under study. One of these processors employs the drift chamber data, another one is based on a neural network algorithm and the others use various hit-map detector correlations. Two versions of the trigger system used at different stages of the experiment are described. The complete system reduces the event rate by a factor of 1000, with efficiency β‰₯\geq95% of detecting the events in the relative momentum range of interest.Comment: 21 pages, 11 figure

    Domain-matched Pre-training Tasks for Dense Retrieval

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    Pre-training on larger datasets with ever increasing model size is now a proven recipe for increased performance across almost all NLP tasks. A notable exception is information retrieval, where additional pre-training has so far failed to produce convincing results. We show that, with the right pre-training setup, this barrier can be overcome. We demonstrate this by pre-training large bi-encoder models on 1) a recently released set of 65 million synthetically generated questions, and 2) 200 million post-comment pairs from a preexisting dataset of Reddit conversations. We evaluate on a set of information retrieval and dialogue retrieval benchmarks, showing substantial improvements over supervised baselines

    Π€ΠΈΠ±Ρ€ΠΎΠΌΠ° ΠΌΠ΅ΠΆΠΆΠ΅Π»ΡƒΠ΄ΠΎΡ‡ΠΊΠΎΠ²ΠΎΠΉ ΠΏΠ΅Ρ€Π΅Π³ΠΎΡ€ΠΎΠ΄ΠΊΠΈ с двустороннСй обструкциСй Π²Ρ‹Ρ…ΠΎΠ΄Π½Ρ‹Ρ… Ρ‚Ρ€Π°ΠΊΡ‚ΠΎΠ² ΠΆΠ΅Π»ΡƒΠ΄ΠΎΡ‡ΠΊΠΎΠ²

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    Heart fibroma accounts for about 5% of all primary neoplasms and is registered in children in 80% of cases. The ventricles or interventricular septum (IVS) are most often affected; in half of cases, the tumor has intracavitary growth. The clinical picture of the disease and its prognosis depend on the size and location of the tumor. The most unfavorable is the defeat of the IVS, since it causes obstruction of the output tract of one of the ventricles. Being localized in IVS, can involve a conducting system of heart, thereby increasing risk of sudden death.A retrospective study of a case of cardiac fibroma in a child aged 4.5 months, confirmed by echocardiography, magnetic resonance imaging and successfully operated on in the Central Federal District Center of Penza, is presented. A large tumor, localized in the IVS, caused atypical obstruction of the outflow tracts of both ventricles simultaneously. In the domestic and foreign literature, hemodynamic disturbances of only one of the ventricles are described, and we did not find a single case with simultaneous obstruction of both tracts. The possibility of MRI in the diagnosis of heart tumors has been shown.Π€ΠΈΠ±Ρ€ΠΎΠΌΠ° сСрдца составляСт ΠΎΠΊΠΎΠ»ΠΎ 5% всСх ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½Ρ‹Ρ… Π½ΠΎΠ²ΠΎΠΎΠ±Ρ€Π°Π·ΠΎΠ²Π°Π½ΠΈΠΉ ΠΈ Π² 80% случаСв рСгистрируСтся Ρƒ Π΄Π΅Ρ‚Π΅ΠΉ. НаиболСС часто ΠΏΠΎΡ€Π°ΠΆΠ°ΡŽΡ‚ΡΡ ΠΆΠ΅Π»ΡƒΠ΄ΠΎΡ‡ΠΊΠΈ ΠΈΠ»ΠΈ мСТТСлудочковая ΠΏΠ΅Ρ€Π΅Π³ΠΎΡ€ΠΎΠ΄ΠΊΠ° (ΠœΠ–ΠŸ), Π² ΠΏΠΎΠ»ΠΎΠ²ΠΈΠ½Π΅ случаСв ΠΎΠΏΡƒΡ…ΠΎΠ»ΡŒ ΠΈΠΌΠ΅Π΅Ρ‚ внутриполостной Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€ роста. РасполоТСниС ΠΈ Ρ€Π°Π·ΠΌΠ΅Ρ€ ΠΎΠΏΡƒΡ…ΠΎΠ»ΠΈ ΠΎΠΏΡ€Π΅Π΄Π΅Π»ΡΡŽΡ‚ ΠΊΠ»ΠΈΠ½ΠΈΡ‡Π΅ΡΠΊΡƒΡŽ ΠΊΠ°Ρ€Ρ‚ΠΈΠ½Ρƒ ΠΈ ΠΏΡ€ΠΎΠ³Π½ΠΎΠ· заболСвания. НаиболСС нСблагоприятным являСтся ΠΏΠΎΡ€Π°ΠΆΠ΅Π½ΠΈΠ΅ ΠœΠ–ΠŸ, ΠΏΠΎΡΠΊΠΎΠ»ΡŒΠΊΡƒ Π²Ρ‹Π·Ρ‹Π²Π°Π΅Ρ‚ ΠΎΠ±ΡΡ‚Ρ€ΡƒΠΊΡ†ΠΈΡŽ Π²Ρ‹Ρ…ΠΎΠ΄Π½ΠΎΠ³ΠΎ Ρ‚Ρ€Π°ΠΊΡ‚Π° ΠΎΠ΄Π½ΠΎΠ³ΠΎ ΠΈΠ· ΠΆΠ΅Π»ΡƒΠ΄ΠΎΡ‡ΠΊΠΎΠ². Π›ΠΎΠΊΠ°Π»ΠΈΠ·ΡƒΡΡΡŒ Π² ΠœΠ–ΠŸ, ΠΌΠΎΠΆΠ΅Ρ‚ Π²ΠΎΠ²Π»Π΅ΠΊΠ°Ρ‚ΡŒ ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΡΡ‰ΡƒΡŽ систСму сСрдца, Ρ‚Π΅ΠΌ самым увСличивая риск Π²Π½Π΅Π·Π°ΠΏΠ½ΠΎΠΉ смСрти.ΠŸΡ€Π΅Π΄ΡΡ‚Π°Π²Π»Π΅Π½ΠΎ рСтроспСктивноС исслСдованиС случая Ρ„ΠΈΠ±Ρ€ΠΎΠΌΡ‹ сСрдца Ρƒ Ρ€Π΅Π±Π΅Π½ΠΊΠ° Π² возрастС 4,5 мСс, ΠΏΠΎΠ΄Ρ‚Π²Π΅Ρ€ΠΆΠ΄Π΅Π½Π½ΠΎΠΉ ΠΌΠ΅Ρ‚ΠΎΠ΄Π°ΠΌΠΈ эхокардиографии, ΠΌΠ°Π³Π½ΠΈΡ‚Π½ΠΎ-рСзонансной Ρ‚ΠΎΠΌΠΎΠ³Ρ€Π°Ρ„ΠΈΠΈ ΠΈ ΡƒΡΠΏΠ΅ΡˆΠ½ΠΎ ΠΎΠΏΠ΅Ρ€ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠΉ Π² Π€Π¦Π‘Π‘Π₯ Π³. ΠŸΠ΅Π½Π·Ρ‹. ΠžΠΏΡƒΡ…ΠΎΠ»ΡŒ Π±ΠΎΠ»ΡŒΡˆΠΈΡ… Ρ€Π°Π·ΠΌΠ΅Ρ€ΠΎΠ², Π»ΠΎΠΊΠ°Π»ΠΈΠ·ΡƒΡΡΡŒ Π² ΠœΠ–ΠŸ, Π²Ρ‹Π·Ρ‹Π²Π°Π»Π° Π½Π΅Ρ‚ΠΈΠΏΠΈΡ‡Π½ΡƒΡŽ ΠΎΠ±ΡΡ‚Ρ€ΡƒΠΊΡ†ΠΈΡŽ ΠΎΠ΄Π½ΠΎΠ²Ρ€Π΅ΠΌΠ΅Π½Π½ΠΎ Π²Ρ‹Ρ…ΠΎΠ΄Π½Ρ‹Ρ… Ρ‚Ρ€Π°ΠΊΡ‚ΠΎΠ² ΠΎΠ±ΠΎΠΈΡ… ΠΆΠ΅Π»ΡƒΠ΄ΠΎΡ‡ΠΊΠΎΠ². Π’ отСчСствСнной ΠΈ Π·Π°Ρ€ΡƒΠ±Π΅ΠΆΠ½ΠΎΠΉ Π»ΠΈΡ‚Π΅Ρ€Π°Ρ‚ΡƒΡ€Π΅ ΠΎΠΏΠΈΡΡ‹Π²Π°ΡŽΡ‚ΡΡ Π½Π°Ρ€ΡƒΡˆΠ΅Π½ΠΈΡ Π³Π΅ΠΌΠΎΠ΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ Ρ‚ΠΎΠ»ΡŒΠΊΠΎ ΠΎΠ΄Π½ΠΎΠ³ΠΎ ΠΈΠ· ΠΆΠ΅Π»ΡƒΠ΄ΠΎΡ‡ΠΊΠΎΠ², ΠΈ Π½Π°ΠΌΠΈ Π½Π΅ Π±Ρ‹Π»ΠΎ Π½Π°ΠΉΠ΄Π΅Π½ΠΎ Π½ΠΈ ΠΎΠ΄Π½ΠΎΠ³ΠΎ случая с ΠΎΠ΄Π½ΠΎΠ²Ρ€Π΅ΠΌΠ΅Π½Π½ΠΎΠΉ обструкциСй ΠΎΠ±ΠΎΠΈΡ… Ρ‚Ρ€Π°ΠΊΡ‚ΠΎΠ². Показана Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ΡŒ МРВ Π² диагностикС ΠΎΠΏΡƒΡ…ΠΎΠ»Π΅ΠΉ сСрдца
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