1,838,323 research outputs found
GUEST ARTIST RECITAL ROBERTA RUST, Piano Thursday, January 24, 1991 8:00 p.m. in Hamman Hall
No full textPresented as part of the All-Prokofiev Program in Honor of the 1991 Prokofiev CentenaryRecording ends on Side A before performance finishes.Program: Sonata no. 1 in F minor, op. 1, Sergey Prokofiev (1891-1953) -- Romeo and Juliet (excerpts), Sergey Prokofiev (1891-1953) -- Suggestion diabolique, op. 4, no. 4, Sergey Prokofiev (1891-1953) -- Sonata no. 9 in C major, op. 103, Sergey Prokofiev (1891-1953) -- Visions fugitives: nos. 2, 16, 11, 7 6, 17, Sergey Prokofiev (1891-1953) -- Sonata no. 7 in B♭ major, op. 83, Sergey Prokofiev (1891-1953)
Supplementary Data for Modeling and Conservation of Wildlife Populations in Managed Landscapes: A Trade-Off Between Effort and Results, Ph.D. Dissertation
No full textThe two files contain excerpts of codes written in Program R (Version 3.1.1) to determine the accuracy and precision of statistical population reconstruction (Chapter 4) and to explore the effectiveness of localized management on the spread of chronic wasting disease (Chapter 5). The files can be opened by any text editors. To run the codes, R environment is required.The data included here are supplemental R codes associated with the dissertation "Modeling and Conservation of Wildlife Populations in Managed Landscapes: A Trade-Off Between Effort and Results" by Sergey S. Berg. The dissertation explores the trade-off between effort and the validity or impact of results in a variety of ecological systems. The data are being released with the publication of the dissertation.Berg, Sergey S.. (2016). Supplementary Data for Modeling and Conservation of Wildlife Populations in Managed Landscapes: A Trade-Off Between Effort and Results, Ph.D. Dissertation. Retrieved from the University Digital Conservancy, http://doi.org/10.13020/D6S59P
CV Sergey González-Mejía
No full textThe curriculum vitae of Sergey González-Mejía, contains information about academic education and experience as a professor researcher, and professional, and also includes the distinctions awarded
Sergey Natanzon Interview May 10, 2014
No full textNOTE: to view these items please visit http://dynkincollection.library.cornell.eduInterview conducted by Eugene Dynkin with Sergey M. Natanzon on May 10, 2014 in Ithaca, N
Supporting Data for: Direct multi-modal inversion of geophysical logs using deep learning
No full textThe dataset contains realizations of geological stratigraphic curves which were generated using the included script.
This data is required to replicate results in Sergey Alyaev and Ahmed H. Elsheikh. "Direct multi-modal inversion of geophysical logs using deep learning." arXiv preprint arXiv:2201.01871 (2021).This stratigraphy-realization dataset consists of randomly generated stratigraphic vertical depth functions b∗(x) which follow a known trend (here zero).
They need to be combined with an offset well-log, e.g. gamma-ray log from the Geosteering World Cup: https://doi.org/10.18710/20VIVT.
The training data consists of triples: a reference offset-well log which is trimmed
randomly to a short section of 64 cells (32 feet TVD); a sample of b∗(x) with 32 points
(32 feet); and an observed well-log corresponding to the first 16 feet of b∗(x), obtained
using the code supplied in trajectories_data_set.py.
The full training dataset, if read with overlap, contains 28 million samples, stored in train.nc. Additionally, we use a test dataset generated with the same rules containing 560 thousand samples, stored in test.nc.Abstract of the publication
Geosteering of wells requires fast interpretation of geophysical logs which is a non-unique
inverse problem. Current work presents a proof-of-concept approach to multi-modal probabilistic inversion of logs using a single evaluation of an artificial deep neural network
(DNN). A mixture density DNN (MDN) is trained using the ”multiple-trajectory-prediction”
(MTP) loss functions, which avoids mode collapse typical for traditional MDNs, and allows multi-modal prediction ahead of data. The proposed approach is verified on the real-time stratigraphic inversion of gamma-ray logs. The multi-modal predictor outputs several likely inverse solutions/predictions, providing more accurate and realistic solutions
compared to a deterministic regression using a DNN. For these likely stratigraphic curves,
the model simultaneously predicts their probabilities, which are implicitly learned from
the training geological data. The stratigraphy predictions and their probabilities obtained
in milliseconds from the MDN can enable better real-time decisions under geological uncertainties.</p
Documentos Uniandes - Dr.-Ing. Sergey González Mejía - Convocatoria Docente Control
No full textDocumentos Uniandes - Dr.-Ing. Sergey González Mejía - Convocatoria Docente Contro
On Crossroads of Spectral Theory with Sergey Naboko
No full textSeveral recent achievements of Sergey Naboko in spectral theory of singular differential operators and metric graphs are described. The impact of Sergey’s work on my own research career is underlined.</p
Sergey Petrov – Obituary
No full textOn 29 December 1999 the outstanding Russian poultry geneticist Professor Sergey G. Petrov died at the age of 96. He was acknowledged as a famous scholar in the field of poultry genetics as well as bee breeding.
Born on 18 December 1903, Sergey Petrov started his scientific career in the 1920s under the supervision of prominent Russian biologists and geneticists including Professors N.K. Koltsov and A.S. Serebrovsky. At that time he was a researcher in the Poultry Breeding Department headed by Serebrovsky at the Central Genetic Station (CGS), Anikovo/Nazaryevo/Slobodka led by Koltsov. The studies on chicken genetics and major mutations carried out by Serebrovsky, Petrov and other CGS researchers were the first to be done in Russia and contributed to the ‘gold fund’ of the Russian genetic science.
From 1928 to 1929 Petrov took part in a number of expeditions aimed at describing the local chicken populations in the North Ossetia and Volgo-Vyatka regions; these were organised by Serebrovsky and initiated the genogeographical studies in Russia. A number of reports from those expeditions are stored in the Russian Academy of Sciences Archive and have still to be reanalysed.
In the late 1920s and 1930s Petrov wrote a series of papers on chicken genetics, many of them in co-authorship with Serebrovsky. One of these articles (‘The Composition of the Plan of the Chromosomes of the Domestic FowI’, published in 1930 in the Journal of Experimental Biology Series A, Volume 6, Issue 2, pp. 61-72, in Russian) is considered one of the first attempts to summarise the available data on chicken linkage groups. It preceded by six years the paper by F. B. Hutt - a fact overlooked or underestimated by all past and contemporary chicken genome mappers. In this paper Serebrovsky and Petrov presented the first chicken map comprising four linkage groups with 12 genes and four other unlinked genes..
Decoupling the Ascending and Descending Phases in Abstract Interpretation
No full textAbstract Interpretation approximates the semantics of a program by mimicking its concrete fixpoint computation on an abstract domain A. The abstract (post-) fixpoint computation is classically divided into two phases: the ascending phase, using widenings as extrapolation operators to enforce termination, is followed by a descending phase, using narrowings as interpolation operators, so as to mitigate the effect of the precision losses introduced by widenings. In this paper we propose a simple variation of this classical approach where, to more effectively recover precision, we decouple the two phases: in particular, before starting the descending phase, we replace the domain A with a more precise abstract domain D. The correctness of the approach is justified by casting it as an instance of the AI2 framework. After demonstrating the new technique on a simple example, we summarize the results of a preliminary experimental evaluation, showing that it is able to obtain significant precision improvements for several choices of the domains A and D
“Like a crooked mirror”. A Conversation with Irina Gumyrkina and Sergey Kim on Post-Soviet Kazakhstan
No full textInterview with Irina Gumyrkina and Sergey Kim
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