Rapport sur les fouilles d'antiquités qui ont été faites à Aix dans les premiers mois de 1841, [-1844].

Half-title, pt. [1]: Rapport sur les fouilles faites à Aix.

"Ėfemeridy" : statʹi po voprosamʺ iskusstva, teatra i literatuyry, kriticheskiÌ„e ėtiï¸ u︡dy, literaturnye ocherki, nabroski, vpechatliï¸ e︡niÌ„iï¸ a︡ /

With: Rystenko, A. V. (Aleksandr Vasilʹi︠e︡vich), 1881?-1915. Skazanīe o dvi︠e︡nadt︠s︡ati snakhʺ t︠s︡ari︠a︡ Mamera : vʺ slavi︠a︡no-russkoĭ literaturi︠e︡ / A.V. Rystenko. Odessa : "Ėkonomicheskai︠a︡" tipografīi︠a︡, 1904. -- Nevskīĭ, V. A. (Vladimir Aleksandrovich). Khudozhestvennye vystavki i oznakomlenie shirokikh narodnykh mass s zhivopisʹi︠u︡ / V.A. Nevskiĭ. Kostroma : Sovetskai︠a︡ tipografii︠a︡, 1920. -- Vsepolʹskai︠a︡ revoli︠u︡t︠s︡īonnai︠a︡ partīi︠a︡ : ocherkʺ sovremennykhʺ stremlenīĭ vsepolʹskoĭ partīi / sostavilʺ Azʺ. Lʹvovʺ : Vʺ tipografīi Stavropigīĭskago Instituta, 1903. -- Gurko, Vasiliĭ Iosifovich, b. 1864. Borba truda i kapitala : ego neizbi︠e︡zhnyi︠a︡ posli︠e︡dstvīi︠a︡ / Generalʺ V. Gurko. Berlin : Wosroschednje Rossii/ Die Wiedergeburt Russlands, 1919. -- Samokvasov, D. (Dmitrīĭ), 1843-1911. Paskopki drevnikhʺ mogilʺ i opisanīe, khranenīe i izdanē mogilʹnykhʺ drevnosteĭ / D.I︠A︡. Samokvasova. Moskva : Sinodalʹnai︠a︡ Tipografīi︠a︡, 1908.

Sr. k. k. Majestät Franz des Zweyten politische Gesetze und Verordnungen für die oesterreichischen, bömischen und galizischen Erbländer. [1792-1848]

Vols. 17-76 have imprint: Wien, Hof- und Staats-Druckerey.

Sviï¸ e︡diï¸ e︡nÄ«iï¸ a︡ i zamiï¸ e︡tki o maloizviï¸ e︡stnykh i neizviï¸ e︡stnykh pamiï¸ a︡tnikakh /

Includes indexes.

Istoricheskaiï¸ a︡ grammatika russkago iï¸ a︡zyka. EtimologÄ«iï¸ a︡.

First ed. published in 1858 under title: Opytʹ istoricheskoĭ grammatiki russkago i︠a︡zyka.

GistoriÌ„iï¸ a︡ o tï¸ s︡ariï¸ e︡ Petriï¸ e︡ Aleksiï¸ e︡evichiï¸ e︡ : 1862-1694 /

Photocopy.

IstoriÌ„iï¸ a︡ Otechestvennoĭ voĭny 1812 goda, po dostoviï¸ e︡rnym istochnikam.

Mode of access: Internet.

Sovremennik.

Editors: 1836, A. Pushkin; 1837, P. Vi︠a︡zemskiĭ, V. Zhukovskiĭ, et al; 1838-1846, P. Pletnev; 1847-1866, N. Nekrassov (with I. Panaev, 1847-1862).

Do-petrovskaiï¸ a︡ Rusʹ v eiï¸ a︡ literature : po lektï¸ s︡iiï¸ a︡m F. I. Buslaeva E. I. V. Nasliï¸ e︡dniku Tï¸ s︡esarevichu Velikomu Kniï¸ a︡ziï¸ u︡ Nikolaiï¸ u︡ Aleksandrovichu (1859-1860 gg.) /

Record romanized.

Ocherki iz istorÄ«i sel'skago naselenÄ«iï¸ a︡ v Moskovskom gosudarstviï¸ e︡. (XVI-XVII vv.) : Izd. ArkheograficheskoÄ­ kommissÄ«i.

"Ottisk iz Li︠e︡topisi zani︠a︡tīĭ Arkheograficheskoĭ kommissīi vyp. XII."

Krestʹiï¸ a︡ne v tï¸ s︡arstvovanÄ«e Imperatritï¸ s︡y Ekateriny II /

Includes bibliographical references.

Russkaiï¸ a︡ istorÄ«iï¸ a︡ v zhizneopisanÄ«iï¸ a︡kh eiï¸ a︡ glavniï¸ e︡ĭshikh diï¸ e︡iï¸ a︡teleÄ­.

Includes bibliographical references.

Toward the prediction of class I and II mouse major histocompatibility complex-peptide-binding affinity:in silico bioinformatic step-by-step guide using quantitative structure-activity relationships

Quantitative structure-activity relationship (QSAR) analysis is a cornerstone of modern informatics. Predictive computational models of peptide-major histocompatibility complex (MHC)-binding affinity based on QSAR technology have now become important components of modern computational immunovaccinology. Historically, such approaches have been built around semiqualitative, classification methods, but these are now giving way to quantitative regression methods. We review three methods--a 2D-QSAR additive-partial least squares (PLS) and a 3D-QSAR comparative molecular similarity index analysis (CoMSIA) method--which can identify the sequence dependence of peptide-binding specificity for various class I MHC alleles from the reported binding affinities (IC50) of peptide sets. The third method is an iterative self-consistent (ISC) PLS-based additive method, which is a recently developed extension to the additive method for the affinity prediction of class II peptides. The QSAR methods presented here have established themselves as immunoinformatic techniques complementary to existing methodology, useful in the quantitative prediction of binding affinity: current methods for the in silico identification of T-cell epitopes (which form the basis of many vaccines, diagnostics, and reagents) rely on the accurate computational prediction of peptide-MHC affinity. We have reviewed various human and mouse class I and class II allele models. Studied alleles comprise HLA-A*0101, HLA-A*0201, HLA-A*0202, HLA-A*0203, HLA-A*0206, HLA-A*0301, HLA-A*1101, HLA-A*3101, HLA-A*6801, HLA-A*6802, HLA-B*3501, H2-K(k), H2-K(b), H2-D(b) HLA-DRB1*0101, HLA-DRB1*0401, HLA-DRB1*0701, I-A(b), I-A(d), I-A(k), I-A(S), I-E(d), and I-E(k). In this chapter we show a step-by-step guide into predicting the reliability and the resulting models to represent an advance on existing methods. The peptides used in this study are available from the AntiJen database (http://www.jenner.ac.uk/AntiJen). The PLS method is available commercially in the SYBYL molecular modeling software package. The resulting models, which can be used for accurate T-cell epitope prediction, will be made are freely available online at the URL http://www.jenner.ac.uk/MHCPred.

Data compilation on the biological response to ocean acidification: environmental and experimental context of data sets and related literature

The exponential growth of studies on the biological response to ocean acidification over the last few decades has generated a large amount of data. To facilitate data comparison, a data compilation hosted at the data publisher PANGAEA was initiated in 2008 and is updated on a regular basis (doi:10.1594/PANGAEA.149999). By January 2015, a total of 581 data sets (over 4 000 000 data points) from 539 papers had been archived. Here we present the developments of this data compilation five years since its first description by Nisumaa et al. (2010). Most of study sites from which data archived are still in the Northern Hemisphere and the number of archived data from studies from the Southern Hemisphere and polar oceans are still relatively low. Data from 60 studies that investigated the response of a mix of organisms or natural communities were all added after 2010, indicating a welcomed shift from the study of individual organisms to communities and ecosystems. The initial imbalance of considerably more data archived on calcification and primary production than on other processes has improved. There is also a clear tendency towards more data archived from multifactorial studies after 2010. For easier and more effective access to ocean acidification data, the ocean acidification community is strongly encouraged to contribute to the data archiving effort, and help develop standard vocabularies describing the variables and define best practices for archiving ocean acidification data.