ОЦЕНКА ПРИМЕНЕНИЯ ГИЛАНА GF-20 У ПАЦИЕНТОВ С ОСТЕОАРТРОЗОМ КОЛЕННОГО СУСТАВА (ПРЕДВАРИТЕЛЬНЫЕ РЕЗУЛЬТАТЫ)

Combined conservative treatment of osteoarthritis includes intra-articular injections of hyaluronic acid. The paper presents the interim results of a prospective observational multicenter non-comparative study conducted in accordance with routine clinical practice to assess the safety and effectiveness of Hylan GF-20 in patients with knee osteoarthritis. The primary objective of the study is to assess walking and rest pain severity by WOMAC VA3.1 scale after 26 weeks and 52 weeks compared to the baseline. To date, 42 patients completed the study (71.43% women, 28.57% men), patients mean age is 59.79 years. After intraarticular injection of Hylan GF-20 patients were examined after 3, 6 and 12 months. After 3 months a positive clinical response was observed: pain severity decreased by 51.31% (p0,001) on WOMAC A, joint stiffness decreased by 51.02% (p0,001) on WOMAC B, daily life difficulties decreased by 42.03% (p0,001) on WOMAC C. The same tendency was observed in the following periods. By week 52 pain severity reduced by 53.25% (p0,001) on WOMAC A, joint stiffness by 41.63% (p0,001) on WOMAC B, daily life difficulties -by 47.55% (p0.001) on WOMAC C. Level of clinical response didn't correlate with the osteoarthritis stage. Therapy resulted in improvement of life quality of patients with knee osteoarthritis by 36% (p0,001) according to the questionnaire EQ-5D. The general patients status according to physicians improved by 33.96% (p0,001) on VAS, and by 45.91% (p0,001) according to patients response on VAS. By week 52 of follow-up 11,90% of patients demonstrated a decrease in required concomitant therapy of osteoarthritis. Given the chronic nature of the osteoarthritis it's the most important that the therapeutic effect of Hylan GF-20 maintains until week 52. The above results confirm the efficiency of intraar-ticular injection of hyaluronic acid in patients with knee osteoarthritis especially in early disease stage.Консервативное лечение  остеоартроза  (ОА)  коленного  сустава  в последние  годы  становится крайне  актуальной  проблемой  из-за  резкого  роста и «омоложения» данного заболевания. Одним  из основных  методов  его лечения  остается введение в сустав препаратов  гиалуроновой кислоты.  В статье анализируются промежуточные результаты многоцентрового проспективного исследования  по оценке  безопасности  и эффективности  Гилана gF-20 у пациентов  с остеоартрозом коленного  сустава. первичная цель исследования – оценка  выраженности боли при ходьбе и в покое с помощью шкалы wOMac Va3.1 через 26 недель и 52 недели по сравнению  с исходным значением. Анализ проведен среди 42 пациентов, полностью закончивших исследование (71,43% – женщин, 28,57% – мужчин), средний возраст 59,79 лет. после внутрисуставной инъекции Гилана gF-20 пациенты приходили для наблюдения через 3, 6, 12 месяцев. Через 3 месяца после введения  Гилана gF-20 наблюдался положительный клинический ответ: уменьшались выраженность болевого синдрома  на на 51,31% (р0,001)  по wOMac a, скованность в суставах на 51,02% (р0,001) по wOMac B, затруднения в повседневной жизни на 42,03% (р0,001) по wOMac С. эта же тенденция сохранялась в дальнейшем.  К 52-й неделе уменьшались выраженность болевого синдрома  на 53,25% (р0,001)  по wOMac a, скованность в суставах  на 41,63% (р0,001)  по wOMac B, затруднения в повседневной  жизни на 47,55% (р0,001)  по wOMac С. Выраженность клинического эффекта  не коррелировала со стадией остеоартроза.  Результатом проводимой терапии  было улучшение  качества  жизни  пациентов с гонартрозом  на 36% (р0,001)  согласно опроснику  eQ-5d. по данным опросника  ВАШ общее состояние пациентов  по мнению докторов улучшалось на 33,96% (р0,001),  а по мнению самих пациентов  – на 45,91% (р0,001). К 52-й неделе наблюдения у 11,90% пациентов было зафиксировано снижение сопутствующей терапии, принимаемой по поводу остеоартроза.  учитывая хронический характер течения  ОА, важно, что терапевтический эффект  Гилана gF-20 сохраняется до 52 недель. полученные данные подтверждают целесообразность использования внутрисуставного введения  гиалуроновой кислоты  у пациентов  с гонартрозом,  особенно на ранней стадии заболевания

The Dark Energy Survey Data Management System

The Dark Energy Survey collaboration will study cosmic acceleration with a 5000 deg2 griZY survey in the southern sky over 525 nights from 2011-2016. The DES data management (DESDM) system will be used to process and archive these data and the resulting science ready data products. The DESDM system consists of an integrated archive, a processing framework, an ensemble of astronomy codes and a data access framework. We are developing the DESDM system for operation in the high performance computing (HPC) environments at NCSA and Fermilab. Operating the DESDM system in an HPC environment offers both speed and flexibility. We will employ it for our regular nightly processing needs, and for more compute-intensive tasks such as large scale image coaddition campaigns, extraction of weak lensing shear from the full survey dataset, and massive seasonal reprocessing of the DES data. Data products will be available to the Collaboration and later to the public through a virtual-observatory compatible web portal. Our approach leverages investments in publicly available HPC systems, greatly reducing hardware and maintenance costs to the project, which must deploy and maintain only the storage, database platforms and orchestration and web portal nodes that are specific to DESDM. In Fall 2007, we tested the current DESDM system on both simulated and real survey data. We used Teragrid to process 10 simulated DES nights (3TB of raw data), ingesting and calibrating approximately 250 million objects into the DES Archive database. We also used DESDM to process and calibrate over 50 nights of survey data acquired with the Mosaic2 camera. Comparison to truth tables in the case of the simulated data and internal crosschecks in the case of the real data indicate that astrometric and photometric data quality is excellent.Comment: To be published in the proceedings of the SPIE conference on Astronomical Instrumentation (held in Marseille in June 2008). This preprint is made available with the permission of SPIE. Further information together with preprint containing full quality images is available at http://desweb.cosmology.uiuc.edu/wik

Transfer learning for galaxy morphology from one survey to another

© 2018 The Author(s). Published by Oxford University Press on behalf of the Royal Astronomical Society.Deep Learning (DL) algorithms for morphological classification of galaxies have proven very successful, mimicking (or even improving) visual classifications. However, these algorithms rely on large training samples of labelled galaxies (typically thousands of them). A key question for using DL classifications in future Big Data surveys is how much of the knowledge acquired from an existing survey can be exported to a new dataset, i.e. if the features learned by the machines are meaningful for different data. We test the performance of DL models, trained with Sloan Digital Sky Survey (SDSS) data, on Dark Energy survey (DES) using images for a sample of $\sim$5000 galaxies with a similar redshift distribution to SDSS. Applying the models directly to DES data provides a reasonable global accuracy ($\sim$ 90%), but small completeness and purity values. A fast domain adaptation step, consisting in a further training with a small DES sample of galaxies ($\sim$500-300), is enough for obtaining an accuracy > 95% and a significant improvement in the completeness and purity values. This demonstrates that, once trained with a particular dataset, machines can quickly adapt to new instrument characteristics (e.g., PSF, seeing, depth), reducing by almost one order of magnitude the necessary training sample for morphological classification. Redshift evolution effects or significant depth differences are not taken into account in this study.Peer reviewedFinal Accepted Versio

Chemical Abundance Analysis of Tucana III, the Second rr-process Enhanced Ultra-Faint Dwarf Galaxy

We present a chemical abundance analysis of four additional confirmed member stars of Tucana III, a Milky Way satellite galaxy candidate in the process of being tidally disrupted as it is accreted by the Galaxy. Two of these stars are centrally located in the core of the galaxy while the other two stars are located in the eastern and western tidal tails. The four stars have chemical abundance patterns consistent with the one previously studied star in Tucana III: they are moderately enhanced in $r$-process elements, i.e. they have $\approx +$0.4 dex. The non-neutron-capture elements generally follow trends seen in other dwarf galaxies, including a metallicity range of 0.44 dex and the expected trend in $\alpha$-elements, i.e., the lower metallicity stars have higher Ca and Ti abundance. Overall, the chemical abundance patterns of these stars suggest that Tucana III was an ultra-faint dwarf galaxy, and not a globular cluster, before being tidally disturbed. As is the case for the one other galaxy dominated by $r$-process enhanced stars, Reticulum II, Tucana III's stellar chemical abundances are consistent with pollution from ejecta produced by a binary neutron star merger, although a different $r$-process element or dilution gas mass is required to explain the abundances in these two galaxies if a neutron star merger is the sole source of $r$-process enhancement.Comment: 18 pages, 10 figures; accepted by Ap