128 research outputs found

    La vida de Francisco de Quevedo

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    Canciones para el final de siglo (1580-1600)

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    El texto del Buscón, de Quevedo

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    Sin resume

    Francisco de Quevedo, La vida del Buscón. Edición, estudio y notas de Fernando Cabo Aseguinolaza. Real Academia Española, Madrid, s.a. [2011], xii + 465 pp.

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    Se reseña el libro:La vida del Buscón. Edición, estudio y notas de Fernando Cabo Aseguinolaza

    Cuatro apuntes de profesor sobre poesía actual

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    La poesía en la era de internet

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    This article reflects on the implications of producing poetry in the era of digital culture, which includes several aspects (creation, reading, dissemination, distribution...). It analyze the changes that the irruption of social networks has brought with it, so that we can think about the paradigm shift that it has supposed.Este artículo reflexiona sobre las implicaciones que tiene producir poesía en la era de la cultura digital y que incluye en diversos aspectos de la misma (creación, lectura, difusión, distribución…). Detiene la mirada en los cambios que la irrupción de las redes sociales ha traído consigo, de manera que podamos pensar en el cambio de paradigma que ha supuesto.This article reflects on the implications of producing poetry in the era of digital culture, which includes several aspects (creation, reading, dissemination, distribution...). It analyze the changes that the irruption of social networks has brought with it, so that we can think about the paradigm shift that it has supposed

    Enmiendas ideológicas al Buscón

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    En este trabajo se repasan algunos de los problemas generales que plantea la lectura e interpretación del Buscón. Aunque no existen datos inequívocos sobre la fecha de redacción de esta obra, Jauralde defiende una redacción única en torno a 1604 y afirma que no existe «ni un solo testimonio ni directo ni indirecto de que Quevedo retocara mínimamente el Buscón». En su opinión, la originalidad de esta pieza quevediana frente al Lazarillo y el Guzmán consiste «en una actitud más ideológica que formal». Después de repasar el proceso de transmisión del texto, analiza otros aspectos como su adscripción al género picaresco, su estructura, el ritmo narrativo y las diversas interpretaciones críticas que la obra ha suscitado. This article tries to examine some problems arisen by the reading and interpretation of Quevedo's El Buscón. Although we lack indisputable information about the date in which this work was written, Jauralde believes that the work was written around 1604 and assures that there is not a direct testimony nor indirect proving that Quevedo revised El Buscón later. In his opinion, «the originality of this work compared with El Lazarillo or El Guzmán de Alfarache rests on the ideologic attitude more than on a formal one». After summarizing the process of transmission of the text, he analyses other aspects such as its being in the picaresque genre, its structure, the narrative rithm and the different critic inerpretations that El Buscón has received

    Creació d’una plataforma web de cursos online d’estudiants per a estudiants universitaris

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    Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2024, Director: Xavier Baró i Solé[ca] Aquest projecte desenvolupa una plataforma de cursos en lı́nia que permet als usuaris accedir, gestionar i interactuar amb materials educatius digitals. Utilitzant una combinació de tecnologies, incloent-hi Django per al backend, React per al frontend, i Amazon Web Services per l’emmagatzematge de dades i la transmissió de vı́deo. [eng] This project develops an online course platform that allows users to access, manage, and interact with digital educational materials. Utilizing a combination of technologies, including Django for the backend, React for the frontend, and Amazon Web Services for data storage and video streaming

    Molecular Identification from AFM Images Using the IUPAC Nomenclature and Attribute Multimodal Recurrent Neural Networks

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    Spectroscopic methods like nuclear magnetic resonance, mass spectrometry, X-ray diffraction, and UV/visible spectroscopies applied to molecular ensembles have so far been the workhorse for molecular identification. Here, we propose a radically different chemical characterization approach, based on the ability of noncontact atomic force microscopy with metal tips functionalized with a CO molecule at the tip apex (referred as HRAFM) to resolve the internal structure of individual molecules. Our work demonstrates that a stack of constant-height HR-AFM images carries enough chemical information for a complete identification (structure and composition) of quasiplanar organic molecules, and that this information can be retrieved using machine learning techniques that are able to disentangle the contribution of chemical composition, bond topology, and internal torsion of the molecule to the HR-AFM contrast. In particular, we exploit multimodal recurrent neural networks (M-RNN) that combine convolutional neural networks for image analysis and recurrent neural networks to deal with language processing, to formulate the molecular identification as an imaging captioning problem. The algorithm is trained using a data set which contains almost 700,000 molecules and 165 million theoretical AFM images to produce as final output the IUPAC name of the imaged molecule. Our extensive test with theoretical images and a few experimental ones shows the potential of deep learning algorithms in the automatic identification of molecular compounds by AFM. This achievement supports the development of on-surface synthesis and overcomes some limitations of spectroscopic methods in traditional solution-based synthesisWe would like to acknowledge support from the Comunidad de Madrid Industrial Doctorate programme 2017 under reference number IND2017/IND7793 and from Quasar Science Resources S.L. P.P. and R.P. acknowledge support from the Spanish Ministry of Science and Innovation, through project PID2020-115864RB-I00 and the “María de Maeztu” Programme for Units of Excellence in R&D (CEX2018-000805-M). C.R.-M. acknowledges financial support by the Ramón y Cajal program of the Spanish Ministry of Science and Innovation (ref. RYC2021-031176-I). Computer time provided by the Red Española de Supercomputación (RES) at the Finisterrae II Supercomputer is also acknowledge
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