Relevant bibliographies by topics / Metarepo

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  2. Dissertations / Theses
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  5. Conference papers

Academic literature on the topic 'Metarepo'

Author: Grafiati
Published: 28 June 2021
Last updated: 7 February 2022

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Journal articles on the topic "Metarepo"

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Novikova, Daria D., Pavel A. Cherenkov, Yana G. Sizentsova, and Victoria V. Mironova. "metaRE R Package for Meta-Analysis of Transcriptome Data to Identify the cis-Regulatory Code behind the Transcriptional Reprogramming." Genes 11, no. 6 (June 9, 2020): 634. http://dx.doi.org/10.3390/genes11060634.

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At the molecular level, response to an external factor or an internal condition causes reprogramming of temporal and spatial transcription. When an organism undergoes physiological and/or morphological changes, several signaling pathways are activated simultaneously. Examples of such complex reactions are the response to temperature changes, dehydration, various biologically active substances, and others. A significant part of the regulatory ensemble in such complex reactions remains unidentified. We developed metaRE, an R package for the systematic search for cis-regulatory elements enriched in the promoters of the genes significantly changed their transcription in a complex reaction. metaRE mines multiple expression profiling datasets generated to test the same organism’s response and identifies simple and composite cis-regulatory elements systematically associated with differential expression of genes. Here, we showed metaRE performance for the identification of low-temperature-responsive cis-regulatory code in Arabidopsis thaliana and Danio rerio. MetaRE identified potential binding sites for known as well as unknown cold response regulators. A notable part of cis-elements was found in both searches discovering great conservation in low-temperature responses between plants and animals.
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Goll, Johannes, Douglas B. Rusch, David M. Tanenbaum, Mathangi Thiagarajan, Kelvin Li, Barbara A. Methé, and Shibu Yooseph. "METAREP: JCVI metagenomics reports—an open source tool for high-performance comparative metagenomics." Bioinformatics 26, no. 20 (August 26, 2010): 2631–32. http://dx.doi.org/10.1093/bioinformatics/btq455.

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Goll, Johannes, Mathangi Thiagarajan, Sahar Abubucker, Curtis Huttenhower, Shibu Yooseph, and Barbara A. Methé. "A Case Study for Large-Scale Human Microbiome Analysis Using JCVI’s Metagenomics Reports (METAREP)." PLoS ONE 7, no. 6 (June 13, 2012): e29044. http://dx.doi.org/10.1371/journal.pone.0029044.

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Huang, Katherine, Arthur Brady, Anup Mahurkar, Owen White, Dirk Gevers, Curtis Huttenhower, and Nicola Segata. "MetaRef: a pan-genomic database for comparative and community microbial genomics." Nucleic Acids Research 42, no. D1 (November 6, 2013): D617—D624. http://dx.doi.org/10.1093/nar/gkt1078.

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Blondé, Ward, Erick Antezana, Vladimir Mironov, Stefan Schulz, Martin Kuiper, and Bernard De Baets. "Using the relation ontology Metarel for modelling Linked Data as multi-digraphs." Semantic Web 5, no. 2 (2014): 115–26. http://dx.doi.org/10.3233/sw-130096.

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Ulitsky, Igor, Irit Gat-Viks, and Ron Shamir. "MetaReg: A platform for modeling, analysis and visualization of biological systems using large-scale experimental data." Genome Biology 9, no. 1 (2008): R1. http://dx.doi.org/10.1186/gb-2008-9-1-r1.

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France, Lydéric, and Christian Nicollet. "MetaRep, an extended CMAS 3D program to visualize mafic (CMAS, ACF-S, ACF-N) and pelitic (AFM-K, AFM-S, AKF-S) projections." Computers & Geosciences 36, no. 6 (June 2010): 786–91. http://dx.doi.org/10.1016/j.cageo.2010.01.001.

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Pastusiak, Tadeusz. "Consistency of data presented on modern maps of ice cover in the Arctic." Polish Cartographical Review 48, no. 2 (July 1, 2016): 55–66. http://dx.doi.org/10.1515/pcr-2016-0005.

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Abstract Information about the condition of ice cover on surface of the water, which are the content of map, are important for carrying out safe navigation and efficient economic activity in the polar regions. Methods of mapping can be fully automated on the basis of developed through years of experience algorithms or additionally supported by experienced professionals. The content of some of those now commonly encountered maps is compiled on the basis of mixed methods. In this work geographic positions of ice maps content are analyzed taking into consideration their usefulness for planning ship’s voyage in ice. The results of this work allow using the contents of studied maps for determining the ship’s route in ice and voyage planning of the ship in ice according to her hull strengthening. The ice maps often have boundary lines for different values of reference. The maximum width of the strips of each boundary line within the Marginal Ice Zone is 100 km. The mean square error of position of the analyzed maps is +/− 2.0 km. Average locations of boundaries are consistent except for GRIB type maps of the OSI SAF and NIS, which seem to indicate much lower value of ice floe concentration. The NIC MIZ maps and S-411 standard maps are consistent for the 13% and 81% concentration. The 40% limits on MASIE maps and 46% limits of concentration on S-411 standard maps are also consistent. The course of ice edge issued by the NIS for the GMDSS METAREA, 19 region visualizes well the boundaries of the area where the ship might encounter any form of ice. Information of the GMDSS METAREA 20 region issued by the AARI represents the average of the limits 1 to 46% of all sources of information, and on average the 13% limit of ice concentration. The one-year old ice limit with thickness of 0.10 to 0.30 meters on the AARI map is consistent with course and average location of boundaries of 81% ice concentration on the NIC MIZ map and S-411 standard map. The multi-year old ice limit of thickness from 0.30 to 2.00 meters on the AARI map is coincident with the 79% limit of concentration displayed on the NIS map.
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Shim, Sung Ryul, Seong-Jang Kim, and Jonghoo Lee. "Diagnostic test accuracy: application and practice using R software." Epidemiology and Health 41 (March 28, 2019): e2019007. http://dx.doi.org/10.4178/epih.e2019007.

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The objective of this paper is to describe general approaches of diagnostic test accuracy (DTA) that are available for the quantitative synthesis of data using R software. We conduct a DTA that summarizes statistics for univariate analysis and bivariate analysis. The package commands of R software were “metaprop” and “metabin” for sensitivity, specificity, and diagnostic odds ratio; forest for forest plot; reitsma of “mada” for a summarized receiver-operating characteristic (ROC) curve; and “metareg” for meta-regression analysis. The estimated total effect sizes, test for heterogeneity and moderator effect, and a summarized ROC curve are reported using R software. In particular, we focus on how to calculate the effect sizes of target studies in DTA. This study focuses on the practical methods of DTA rather than theoretical concepts for researchers whose fields of study were non-statistics related. By performing this study, we hope that many researchers will use R software to determine the DTA more easily, and that there will be greater interest in related research.
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Tanajura, Clemente Augusto Souza, Filipe Bitencourt Costa, Renato Ramos da Silva, Giovanni Abdelnur Ruggiero, and Victor Bastos Daher. "ASSIMILATION OF SEA SURFACE HEIGHT ANOMALIES INTO HYCOM WITH AN OPTIMAL INTERPOLATION SCHEME OVER THE ATLANTIC OCEAN METAREA V." Revista Brasileira de Geofísica 31, no. 2 (June 1, 2013): 257. http://dx.doi.org/10.22564/rbgf.v31i2.293.

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ABSTRACT. Along-track sea surface height anomaly (SSHA) data from the Jason-1 and Jason-2 satellites were assimilated into the ocean model HYCOM from July 1, 2009 until December 31, 2009. A new and simple approach to overcome the bias between the model and observed SSHA was proposed. It focuses on the meso-scale differences between the data and the model along each satellite track. An optimal interpolation method and the Cooper & Haines (1996) scheme (C&H) were employed to produce a SSHA analysis field and to adjust model layer thicknesses over the Atlantic METAREA V. The corrected model state was used as initial condition for the next assimilation cycle. SSHA data with a 7-day window were assimilated in 3-day intervals centered in the SSHA data window and the C&H scheme was applied taking the SSHA analysis. A control run without assimilation was also performed. The results showed that the model SSHA was completely reorganized by the end of the experiment. The modifications of SSHA were compared to the American Navy HYCOM+NCODA system and AVISO data. Maximum error was reduced from 0.7 m to 0.2 m by assimilation. Comparisons were also made with the Argo temperature and salinity vertical profiles. Improvements in the currents and volume transport were also produced by assimilation. The impact in temperature was in general positive, but there was no substantial modification in salinity. Keywords: ocean data assimilation, Jason-1 and Jason-2 satellites, Argo. RESUMO. Dados de anomalia da altura da superfície do mar (AASM) dos satellites Jason-1 e Jason-2 foram assimilados no modelo oceânico HYCOM de 1 de julho de 2009 a 31 de dezembro de 2009. Um nova e simples abordagem foi proposta para superar o viés entre os dados observados de AASM e o campo do modelo. Ela enfoca as diferenças entre o modelo e as observações na mesoescala ao longo de cada trilha dos satélites. Um método de interpolação estatística e o esquema de Cooper & Haines (1996) (C&H) foram empregados para produzir um campo de análise de AASM e ajustes nas espessuras das camadas do modelo sobre a METAREA V do Atlântico. O estado corrigido do modelo foi usado como condição inicial para o próximo ciclo de assimilação. Dados de AASM em uma janela de 7 dias foram assimilados a cada 3 dias em data centrada na janela de dados e o método de C&H foi aplicado com a análise de AASM. Os resultados mostraram que a AASM do modelo foi completamente reorganizada no final do experimento. As modificações de AASM foram comparadas com análises globais do sistema Americano HYCOM+NCODA e com dados do AVISO. Erros máximos foram reduzidos de 0,7 m para 0,2 m com a assimilação. Comparações foram também feitas com perfis verticais de temperatura e salinidade do Argo. Melhorias nas correntes e no transporte de volume foram produzidas em relação à rodada de controle. O impacto na temperatura foi em geral positivo, mas não houve modificação substancial na salinidade. Palavras-chave: assimilação de dados oceanográficos, satélites Jason-1 e Jason-2, Argo.
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Dissertations / Theses on the topic "Metarepo"

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Víšek, Jakub. "Hromadná orchestrácia v multirepo CI/CD prostrediach." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2021. http://www.nusl.cz/ntk/nusl-445562.

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Multirepo model přístupu ke správě a verzování zdrojového kódu, jež zahrnuje použití mnoha oddělených repozitářů verzovacích systémů, je poslední dobou často zmiňován v odborné literatuře. Jednou z jeho nevýhod je množství zdlouhavých, nezajímavých a repetitivních úkonů, které je nutno provádět při hromadných operacích tvořících transakce napříč těmito repozitáři. Multirepo repozitáře navíc umožňují využití široké škály technologií, což jen umocňuje riziko lidské chyby, ke které při ručně prováděných hromadných operacích může dojít. V rámci této práce je navrženo, implementováno a otestováno řešení pro automatizaci operací prováděných napříč množstvím repozitářů uspořádaných v multirepo modelu, což s nimi uživatelům zlepšuje zkušenost.
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Lima, Leonardo Nascimento. "Estudo do impacto da assimilação de dados altimétricos na previsibilidade de curto-prazo do modelo oceânico Hycom sobre a Metarea V do Atlântico Sul." http://www.pggeofisica.ufba.br, 2012. http://www.pggeofisica.ufba.br.

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Submitted by Souza Tanajura Augusto (cast@ufba.br) on 2012-12-21T18:11:14Z No. of bitstreams: 1 Lima.pdf: 12883957 bytes, checksum: 6cd62f9bb554e796a0a9614bf9f2e051 (MD5)
Made available in DSpace on 2012-12-21T18:11:14Z (GMT). No. of bitstreams: 1 Lima.pdf: 12883957 bytes, checksum: 6cd62f9bb554e796a0a9614bf9f2e051 (MD5)
Dept. de Física da Terra e do Meio Ambiente, CAPES e Rede de Modelagem e Observação Oceanográ ca (REMO)
Neste estudo, a assimilação de dados de anomalia da altura da superfície do mar (AASM) ao longo da trilha dos satélites Jason-1 e Jason-2 foi conduzida na METAREA V do Atlântico Sul (7oN-36oS, 20oW até a costa do Brasil) com o método de interpolação ótima e o modelo oceânico HYCOM. Foram realizados quatro experimentos de previsão de 24 h durante os dias de 1 de janeiro a 31 de março de 2011 considerando diferentes janelas de assimilação de AASM (1 dia e 2 dias) e diferentes coeficientes na parametrização da matriz de covariâncias dos erros de AASM do modelo. A resolução horizontal empregada no HYCOM foi 1/12o para 21 camadas verticais. As correções de altura da superfície do mar devido à assimilação de AASM foram projetadas abaixo da camada de mistura através da técnica de Cooper & Haines (1996). Os resultados mostraram que o experimento com assimilação de dados ao longo da trilha dos satélites com a janela de 2 dias e com parametrizações da matriz de covariância específicas para sub-regiões da METAREA V foi o mais acurado. Ele reconstruiu completamente o campo de altura da superfície do mar do modelo e que importantes melhorias na circulação foram obtidas. Por exemplo, houve substancial melhoria da representação nos campos da Corrente do Brasil e Sub-corrente Norte do Brasil. Ainda, impactos positivos na estrutura das principais massas d'águas presentes no Atlântico Sul oeste próximo a costa do Brasil foram verificados. Entretanto, tendo em vista que não foi realizada assimilação de perfis verticais de temperatura e de salinidade e da temperatura da superfície do mar, a metodologia apresentada deve ser considerada apenas como um passo na conquista de uma análise oceânica e um sistema previsor de qualidade para fins operacionais.
Pós Graduação em Geofísica da UFBA
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Books on the topic "Metarepo"

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Metare. Lastra a Signa (Firenze): Biblioteca Cavalieri, 1985.

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Yosefyah, Simon, ed. Metare ha-lev. Tel Aviv: Hakursa, 2013.

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Paragoan, Wall. Menjalin hubungan PPP-UMNO: Lawatan Buya H. Ismail Hasan Metareum, SH. ke Malaysia. [Jakarta]: Departemen Penerbitan, Dokumentasi dan Media Massa DPP-PPP kerjasama dengan Lembaga Pers PP GMPI, 1995.

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Soleiman, Rasyid Ridla. Catatan kecil jejak putera pesantren: Profil Ismail Hasan Metareum, S.H., Ketua Umum DPP PPP. Jakarta: Nias, 1994.

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Metareum, Ismail Hasan. Mendayung disela-sela karang: Pokok-pokok pikiran ketua umum DPP. PPP H. Ismail Hasan Metareum, SH. Jakarta: DPP-PPP, Departemen Penerangan & Penerbitan, 1994.

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Michal, Abraham ben Jehiel. Shem ha-sefer ʻAyin panim ba-Torah: Ba-ʻavur she-bo nirʼeh peri tenuvah, tevunat ha-meḥaber she-metarets kushy. ha-Zohar ha-ḳadosh ʻal hatḥalat ha-Torah ... Bruḳlin, N.Y: Aḥim Goldenberg, 1992.

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Yusuf, Ramli H. M. 1959- and Hasan Metareum Ismail 1929-, eds. Partai politik reformasi dan masa depan: 70th Buya H. Ismail Hasan Metareum, SH. [Jakarta]: Pustaka Lembaga Studi Pembangunan Indonesia, 1999.

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Book chapters on the topic "Metarepo"

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Goll, Johannes. "METAREP, Overview." In Encyclopedia of Metagenomics, 448–63. Boston, MA: Springer US, 2015. http://dx.doi.org/10.1007/978-1-4899-7478-5_238.

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Goll, Johannes. "METAREP, Overview." In Encyclopedia of Metagenomics, 1–17. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6418-1_238-1.

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Conference papers on the topic "Metarepo"

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Tian, Pinzhuo, Lei Qi, Shaokang Dong, Yinghuan Shi, and Yang Gao. "Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/377.

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In the few-shot learning scenario, the data-distribution discrepancy between training data and test data in a task usually exists due to the limited data. However, most existing meta-learning approaches seldom consider this intra-task discrepancy in the meta-training phase which might deteriorate the performance. To overcome this limitation, we develop a new consistent meta-regularization method to reduce the intra-task data-distribution discrepancy. Moreover, the proposed meta-regularization method could be readily inserted into existing optimization-based meta-learning models to learn better meta-knowledge. Particularly, we provide the theoretical analysis to prove that using the proposed meta-regularization, the conventional gradient-based meta-learning method can reach the lower regret bound. The extensive experiments also demonstrate the effectiveness of our method, which indeed improves the performances of the state-of-the-art gradient-based meta-learning models in the few-shot classification task.
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Journal articles
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