59 research outputs found

    A Systemic Approach to Evaluating the Organizational Agility in Large-Scale Companies

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    This paper presents action research to analyze an approach for assessment of the alleged agile transformation. This approach was implemented at AK Bars Digital Technologies, an IT spin-off of one of the largest banks in Russia using the Scaled Agile Framework. The approach is based on the Goal-Question-Metric approach, non-invasive measurement collection, and systemic analysis. It uses data from several different sources, including interviews, code repositories, user ratings in the play stores, and templates for agile assessment. The effectiveness of the approach is subjectively validated by the adoption of the proposed recommendations by the banks’ senior management. Details are provided on the approach, the required effort from the side of both those assessing and of the people being assessed and the results. The final part of the paper is devoted to the discussion of its generalizability and the plan for future experimentation and refinement

    Wushu as a system moral and physical self-improvement

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    The article examines the role of health education system Wushu in self-knowledge based on the concepts of human Shaolin schoolsВ статье рассматривается роль оздоровительно-образовательной системы Ушу в самопознании человека на основе концепций шаолиньских шко

    Translation error clusters induced by aminoglycoside antibiotics

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    Aminoglycoside antibiotics target the ribosome and induce mistranslation, yet which translation errors induce bacterial cell death is unclear. The analysis of cellular proteins by quantitative mass spectrometry shows that bactericidal aminoglycosides induce not only single translation errors, but also clusters of errors in full-length proteins in vivo with as many as four amino acid substitutions in a row. The downstream errors in a cluster are up to 10,000-fold more frequent than the first error and independent of the intracellular aminoglycoside concentration. The prevalence, length, and composition of error clusters depends not only on the misreading propensity of a given aminoglycoside, but also on its ability to inhibit ribosome translocation along the mRNA. Error clusters constitute a distinct class of misreading events in vivo that may provide the predominant source of proteotoxic stress at low aminoglycoside concentration, which is particularly important for the autocatalytic uptake of the drugs

    Image "I" corporal as a necessary component in the organization of educational process of shaolin school of single combats

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    In article are considered a role of improving and educational system of UShU in knowledge of the egoism that according to Shaolin schools, expands possibilities of the person, promoting strengthening of its spirit, a corporality, providing to the personality harmonious and frictionless interaction with the nature with society and by itselfВ статье рассматриваются роль оздоровительно-образовательной системы УШУ в познании своей самости, что по данным шаолиньских школ, расширяет возможности человека, способствуя укреплению его духа, телесности, обеспечивая личности гармоничное и бесконфликтное взаимодействие с природой с социумом и самим собо

    A high-throughput \u3ci\u3ede novo\u3c/i\u3e sequencing approach for shotgun proteomics using high-resolution tandem mass spectrometry

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    Abstract Background High-resolution tandem mass spectra can now be readily acquired with hybrid instruments, such as LTQ-Orbitrap and LTQ-FT, in high-throughput shotgun proteomics workflows. The improved spectral quality enables more accurate de novo sequencing for identification of post-translational modifications and amino acid polymorphisms. Results In this study, a new de novo sequencing algorithm, called Vonode, has been developed specifically for analysis of such high-resolution tandem mass spectra. To fully exploit the high mass accuracy of these spectra, a unique scoring system is proposed to evaluate sequence tags based primarily on mass accuracy information of fragment ions. Consensus sequence tags were inferred for 11,422 spectra with an average peptide length of 5.5 residues from a total of 40,297 input spectra acquired in a 24-hour proteomics measurement of Rhodopseudomonas palustris. The accuracy of inferred consensus sequence tags was 84%. According to our comparison, the performance of Vonode was shown to be superior to the PepNovo v2.0 algorithm, in terms of the number of de novo sequenced spectra and the sequencing accuracy. Conclusions Here, we improved de novo sequencing performance by developing a new algorithm specifically for high-resolution tandem mass spectral data. The Vonode algorithm is freely available for download at http://compbio.ornl.gov/Vonode webcite

    ИЗУЧЕНИЕ ФЛОТАЦИОННЫХ СВОЙСТВ НОВЫХ СОБИРАТЕЛЕЙ ПРИ ОБОГАЩЕНИИ ШЕЕЛИТ-СУЛЬФИДНЫХ РУД

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    The article studies flotation properties of BTF-1552, IMA-206, and IMA-I413 alkali metal dialkyldithiophosphate samples. The article estimates beneficiation indices when using the reagent M-TF and its mixture with IMA-I413 and xanthogenate. On the basis of undertaken studies it was found that application of the mixture of IMA-I413 collectors with butyl xanthate at the ratio of 5 : 1 and the feed ratio of 20 + 5 g/t made it possible to increase the extraction into the copper concentrate: Cu by 0,79 %, Au by 4,1 % and Ag by 2,4, while the sulfide concentrate yield decreased by a factor of 2. The disadvantage of this reagent composition is the increase in As content in the copper concentrate by 0,67 %. Of all tested dialkyldithiophosphate samples, the best incremental indices of copper and noble metals recovery were obtained when using the BTF-1552collector. The extraction into the copper concentrate increased: Cu by 1,9 %, Au by 3,2 %, and Ag by 1,8 %, while the sulfide concentrate yield decreased by 1,4 times. The increase in As content in the copper concentrate was 0,34 %.Изучены флотационные свойства образцов диалкилдитиофасфатов щелочных металлов БТФ-1552, ИМА-206, ИМА-И413. Оценены показатели обогащения с использованием реагента М-ТФ и его смеси с ИМА-И413 и ксантогенатом. На основе выполненных исследований установлено, что применение смеси собирателей ИМА-И413 и бутилового ксантогената в соотношении 5 : 1 при расходе 20 + 5 г/т позволяет повысить извлечение в медный концентрат: Cu на 0,79 %, Au на 4,1 % и Ag на 2,4 %, при снижении выхода сульфидного концентрата в 2 раза. Недостатком данной композиции реагентов является рост содержания As в медном концентрате на 0,67 %. Из испытанных образцов диалкилдитиофосфатов лучшие показатели по приросту извлечения меди и благородных металлов получены на собирателе БТФ-1552. Извлечение в медный концентрат увеличилось: Cu на 1,9 %, Au на 3,2 % и Ag на 1,8 %, при снижении выхода сульфидного концентрата в 1,4 раза. Рост содержания As в медном концентрате составил 0,34 %

    Microbiological and clinical aspects of the infections caused by Streptococcus pneumoniae in children

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    The purpose of this study was to determine the role of Streptococcus pneumoniae in the etiological structure of infectious diseases in children at the age from 3 months to 17 years and evaluation of resistance to antimicrobial drugs among the strains of S. pneumoniae isolated in 2002 - 2011. The percentage of S. pneumoniae isolation in cases of middle ear inflammation was equal to 20.9%; rhinosinusitis - 30.7%; acute purulent destructive pneumonia - 5.4%, chronic infectious inflammatory pulmonary diseases -18.4% . Analysis of antibiotic resistance was carried out for 277 strains of S. pneumoniae isolated from various clinical materials. Resistance to penicillin was determined in 22.4% of isolates, to trimethoprim/sulfamethoxazole — 63.7%, to erythromycin and clindamycin -16.7% and 13.5% respectively.Целью исследования явилось определение роли Streptococcus pneumoniae в этиологической структуре инфекционных заболеваний у детей в возрасте от 3 месяцев до 17 лет и установление резистентности штаммов, выделенных в 2002-2011 годах, к антимикробным препаратам. Доля S. pneumoniae при среднем отите составила 20,9%; при риносинусите - 30,7%; при острой гнойно-деструктивной пневмонии - 5,4%, при хронических инфекционно-воспалительных заболеваниях легких -18,4% . Проведен анализ антибиотикограмм 277 штаммов S. pneumoniae, выделенных из различных клинических материалов. Уровень резистентности S. pneumoniae к пенициллину - 22,4%, триметоприму/сульфаметоксазолу - 63,7%, эритромицину и клиндамицину -16,7% и 13,5%, соответственно

    Aetiology of infectious complications in children with oncohematological diseases

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    The article presents the results of microbiological studies of different biomaterials in the diagnosis of infectious complications in children with oncohematologicaldiseases after bone marrow transplantation.Gram-negative bacteria both endogenous and possibly nosocomial origin are lead among the detected microorganisms.В статье приведены результаты микробиологических исследований различных биоматериалов, полученных при диагностике инфекционных осложнений у детей с онкогематологическими заболеваниями после трансплантации. Среди обнаруженных микроорганизмов лидируют грамотрицательные бактерии как эндогенного, так и, возможно, нозокомиального происхождения

    A high-throughput de novo sequencing approach for shotgun proteomics using high-resolution tandem mass spectrometry

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    <p>Abstract</p> <p>Background</p> <p>High-resolution tandem mass spectra can now be readily acquired with hybrid instruments, such as LTQ-Orbitrap and LTQ-FT, in high-throughput shotgun proteomics workflows. The improved spectral quality enables more accurate <it>de novo </it>sequencing for identification of post-translational modifications and amino acid polymorphisms.</p> <p>Results</p> <p>In this study, a new <it>de novo </it>sequencing algorithm, called Vonode, has been developed specifically for analysis of such high-resolution tandem mass spectra. To fully exploit the high mass accuracy of these spectra, a unique scoring system is proposed to evaluate sequence tags based primarily on mass accuracy information of fragment ions. Consensus sequence tags were inferred for 11,422 spectra with an average peptide length of 5.5 residues from a total of 40,297 input spectra acquired in a 24-hour proteomics measurement of <it>Rhodopseudomonas palustris</it>. The accuracy of inferred consensus sequence tags was 84%. According to our comparison, the performance of Vonode was shown to be superior to the PepNovo v2.0 algorithm, in terms of the number of <it>de novo </it>sequenced spectra and the sequencing accuracy.</p> <p>Conclusions</p> <p>Here, we improved <it>de novo </it>sequencing performance by developing a new algorithm specifically for high-resolution tandem mass spectral data. The Vonode algorithm is freely available for download at <url>http://compbio.ornl.gov/Vonode</url>.</p

    Carbon Sequestration in Synechococcus Sp.: From Molecular Machines to Hierarchical Modeling

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    The U.S. Department of Energy recently announced the first five grants for the Genomes to Life (GTL) Program. The goal of this program is to "achieve the most far-reaching of all biological goals: a fundamental, comprehensive, and systematic understanding of life." While more information about the program can be found at the GTL website (www.doegenomestolife.org), this paper provides an overview of one of the five GTL projects funded, "Carbon Sequestration in Synechococcus Sp.: From Molecular Machines to Hierarchical Modeling." This project is a combined experimental and computational effort emphasizing developing, prototyping, and applying new computational tools and methods to ellucidate the biochemical mechanisms of the carbon sequestration of Synechococcus Sp., an abundant marine cyanobacteria known to play an important role in the global carbon cycle. Understanding, predicting, and perhaps manipulating carbon fixation in the oceans has long been a major focus of biological oceanography and has more recently been of interest to a broader audience of scientists and policy makers. It is clear that the oceanic sinks and sources of CO2 are important terms in the global environmental response to anthropogenic atmospheric inputs of CO2 and that oceanic microorganisms play a key role in this response. However, the relationship between this global phenomenon and the biochemical mechanisms of carbon fixation in these microorganisms is poorly understood. The project includes five subprojects: an experimental investigation, three computational biology efforts, and a fifth which deals with addressing computational infrastructure challenges of relevance to this project and the Genomes to Life program as a whole. Our experimental effort is designed to provide biology and data to drive the computational efforts and includes significant investment in developing new experimental methods for uncovering protein partners, characterizing protein complexes, identifying new binding domains. We will also develop and apply new data measurement and statistical methods for analyzing microarray experiments. Our computational efforts include coupling molecular simulation methods with knowledge discovery from diverse biological data sets for high-throughput discovery and characterization of protein-protein complexes and developing a set of novel capabilities for inference of regulatory pathways in microbial genomes across multiple sources of information through the integration of computational and experimental technologies. These capabilities will be applied to Synechococcus regulatory pathways to characterize their interaction map and identify component proteins in these pathways. We will also investigate methods for combining experimental and computational results with visualization and natural language tools to accelerate discovery of regulatory pathways. Furthermore, given that the ultimate goal of this effort is to develop a systems-level of understanding of how the Synechococcus genome affects carbon fixation at the global scale, we will develop and apply a set of tools for capturing the carbon fixation behavior of complex of Synechococcus at different levels of resolution. Finally, because the explosion of data being produced by high-throughput experiments requires data analysis and models which are more computationally complex, more heterogeneous, and require coupling to ever increasing amounts of experimentally obtained data in varying formats, we have also established a companion computational infrastructure to support this effort as well as the Genomes to Life program as a whole.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/63164/1/153623102321112746.pd
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