20,529 research outputs found
Roary : rapid large-scale prokaryote pan genome analysis
No full textThis work was supported by the Wellcome Trust (grant WT 098051).A typical prokaryote population sequencing study can now consist of hundreds or thousands of isolates. Interrogating these datasets can provide detailed insights into the genetic structure of prokaryotic genomes. We introduce Roary, a tool that rapidly builds large-scale pan genomes, identifying the core and accessory genes. Roary makes construction of the pan genome of thousands of prokaryote samples possible on a standard desktop without compromising on the accuracy of results. Using a single CPU Roary can produce a pan genome consisting of 1000 isolates in 4.5 hours using 13 GB of RAM, with further speedups possible using multiple processors.Peer reviewe
Overview of the Author Profiling Task at PAN 2013
No full text[EN] This overview presents the framework and results for the Author Profiling
task at PAN 2013. We describe in detail the corpus and its characteristics,
and the evaluation framework we used to measure the participants performance to
solve the problem of identifying age and gender from anonymous texts. Finally,
the approaches of the 21 participants and their results are described.The author profiling task @PAN-2013 was an activity of the WIQ-EI IRSES project (Grant No. 269180) within the FP 7 Marie Curie People Framework of the European Commission. We want to thank the Forensic Lab of the Universitat Pompeu Fabra Barcelona for sponsoring the award for the winner team. The work of the first author was partially funded by Autoritas Consulting SA and by Ministerio de Economía y Competitividad de España under grant ECOPORTUNITY IPT-2012-1220-430000. The work of the second author was in the framework the DIANA-APPLICATIONS-Finding Hidden Knowledge in Texts: Applications (TIN2012-38603-C02-01) project, and the VLC/CAMPUS Microcluster on Multimodal Interaction in Intelligent Systems. The work of fifth author was funded in part by the Swiss National Science Foundation (SNF) project "Mining Conversational Content for Topic Modelling and Author Identification (ChatMiner)" under grant number 200021_130208.Rangel, F.; Rosso, P.; Koppel, M.; Stamatatos, E.; Inches, G. (2013). Overview of the Author Profiling Task at PAN 2013. CLEF Conference on Multilingual and Multimodal Information Access Evaluation. 352-365. https://riunet.upv.es/handle/10251/46636S35236
Metodologías alternativas de elaboración de pan
No full textHacer pan es probablemente una de las tecnologías más antiguas conocidas por la humanidad. Los hallazgos sugieren que la gente de Babilonia, Egipto, Grecia y Roma usaron el pan o productos similares como parte de su dieta. La nutrición humana se basa en productos de cereales, entre los cuales el pan es el más representativo e importante. La calidad del pan fresco a menudo se relaciona con su corteza (grosor, crujencia, color, sabor) y con la estructura de la miga (sabor, textura suave, distribución y tamaño de las células).Sin embargo, el pan fresco es un producto con una corta vida útil y una serie de alteraciones químicas y físicas, conocidas como "staling", que ocurren durante su almacenamiento. Como resultado de estos cambios, la calidad del pan se deteriora gradualmente a medida que pierde su frescura y crujencia, mientras que la rigidez de la miga aumenta. Al mismo tiempo, el agradable aroma se desvanece. Estos problemas de preservación en combinación con las crecientes demandas del mercado llevaron a la evolución de las tecnologías de masas congeladas.Uno de los cambios más importante fue la incorporación de la baja temperatura. La tecnología del frío ha permitido que la industria del pan y la bollería se hayan adaptado a las nuevas necesidades del consumidor. Esos tipos de productos, como los pre-cocidos o pre-horneados congelados y refrigerados (los llamados productos ?bake-off?), demuestran el alto grado de especialización del sector.Fil: Steffolani, Maria Eugenia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Ciencia y Tecnología de Alimentos Córdoba. Universidad Nacional de Córdoba. Facultad de Ciencias Físicas, Exactas y Naturales (FCFEYN). Instituto de Ciencia y Tecnología de Alimentos Córdoba (ICYTAC); ArgentinaFil: Ribotta, Pablo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Ciencia y Tecnología de Alimentos Córdoba. Universidad Nacional de Córdoba. Facultad de Ciencias Físicas, Exactas y Naturales (FCFEYN). Instituto de Ciencia y Tecnología de Alimentos Córdoba (ICYTAC); Argentin
Chronological: Pan American Nikkei Conference, NYC, 2001-07-26
No full textThis folder contains a speech by Senator Daniel K. Inouye delivered at the Pan American Nikkei Conference in New York City on July 26, 2001
Expanding literature for solo steel pan through commissions, discoveries, and transcriptions
No full textThe lack of quality solos for steel pan has been an issue that pannists have addressed for
years. This thesis seeks to promote the expansion of music for solo steel pan through discussing
rarely performed works for solo lead pan. The works
that are discussed are new solos that the
author has commissioned, seldom performed works already in existence, and flute solos that
have been modified to be playable on the lead pan. The thesis serves as a performance guide for
pannists who are interested in playing the solos, and covers topics such as stickings for
problematic passages, technical considerations unique to the steel pan, adaptations for non-idiomatic material, and observations that may facilitate the learning process.U of I Only Restriction set for Item 110491 on 2019-04-12T17:27:35Z with date by [email protected] by David Butler ([email protected]) on 2019-04-12T17:33:23Z
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Reason: School of Music policyOpen Restriction set for Item 110491 on 2019-04-15T15:01:35Z with date null by [email protected] Restriction set for Item 110491 on 2019-04-15T15:01:37Z with date null by [email protected]
Letter re: Pan Am flight to Philippines
No full textLetter from Daniel C. Roper, United States Secretary of Commerce, to Amon Carter expressing appreciation for Carter's note while on the first passenger flight to the Philippines with Pan Am Airways
Uncovering Plagiarism - Author Profiling at PAN
No full text[ES] PAN is a yearly workshop and evaluation lab on uncovering plagiarism, authorship, and social software misuse. Since 2009, PAN has been organizing benchmark activities on uncovering plagiarism, authorship, and social software misuse . An additional task - author profiling - has also recently been proposed. Author profiling, instead of focusing on individual authors, studies how language is shared by a class of people. Author profiling is a problem of growing importance in applications in forensics, security and marketing. For instance, a person working in the area of forensic linguistics may need to know the linguistic profile of a suspected text message (language used by a certain type of person) and identify characteristics (with language as evidence). Similarly, from a marketing viewpoint, companies may be interested in determining, through the analysis of blogs and online product reviews, what types of people like or dislike their products.Rosso, P.; Rangel Pardo, FM. (2014). Uncovering Plagiarism - Author Profiling at PAN. Ercim News. (96):49-49. https://riunet.upv.es/handle/10251/49303S49499
Overview of PAN 2018 : author identification, author profiling, and author obfuscation
No full textAbstract: PAN 2018 explores several authorship analysis tasks enabling a systematic comparison of competitive approaches and advancing research in digital text forensics. More specifically, this edition of PAN introduces a shared task in cross-domain authorship attribution, where texts of known and unknown authorship belong to distinct domains, and another task in style change detection that distinguishes between single-author and multi-author texts. In addition, a shared task in multimodal author profiling examines, for the first time, a combination of information from both texts and images posted by social media users to estimate their gender. Finally, the author obfuscation task studies how a text by a certain author can be paraphrased so that existing author identification tools are confused and cannot recognize the similarity with other texts of the same author. New corpora have been built to support these shared tasks. A relatively large number of software submissions (41 in total) was received and evaluated. Best paradigms are highlighted while baselines indicate the pros and cons of submitted approaches
Using Machine Learning Algorithms for Author Profiling In Social Media Notebook for PAN at CLEF 2016
No full textAbstract. In this paper we present our approach of solving the PAN 2016 Author Profiling Task. It involves classifying users' gender and age using social media posts. We used SVM classifiers and neural networks on TF-IDF and verbosity features. Results showed that SVM classifiers are better for English datasets and neural networks perform better for Dutch and Spanish datasets
E.: Overview of the Author Identification Task at PAN-2013
No full textAbstract. The author identification task at PAN-2014 focuses on author verification. Similar to PAN-2013 we are given a set of documents by the same author along with exactly one document of questioned authorship, and the task is to determine whether the known and the questioned documents are by the same author or not. In comparison to PAN-2013, a significantly larger corpus was built comprising hundreds of documents in four natural languages (Dutch, English, Greek, and Spanish) and four genres (essays, reviews, novels, opinion articles). In addition, more suitable performance measures are used focusing on the accuracy and the confidence of the predictions as well as the ability of the submitted methods to leave some problems unanswered in case there is great uncertainty. To this end, we adopt the c@1 measure, originally proposed for the question answering task. We received 13 software submissions that were evaluated in the TIRA framework. Analytical evaluation results are presented where one language-independent approach serves as a challenging baseline. Moreover, we continue the successful practice of the PAN labs to examine meta-models based on the combination of all submitted systems. Last but not least, we provide statistical significance tests to demonstrate the important differences between the submitted approaches.
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