FDA-PY: desarrollo de un paquete Python para el análisis de datos funcionales

Functional data analysis (FDA) is a eld of Statistics in which the data considered are functions. This kind of data analysis takes into account that the underlying mechanism that generates the observations is a stochastic process. In this manner, it is possible to address some important questions (e.g. related to the continuity and smoothness of the functions measured) that traditional multivariate analysis can not. Given that it is a relatively recent eld of study, the methods of FDA are not as widely known as those of multivariate analysis. Speci cally, there are few software implementations of FDA tools available, mostly in MATLAB and R. However, these are not built following open-source schemes, which makes it di cult to meke contributions to them. Up to this day there are not any packages for Functional Data Analysis in Python. Since Python is the language of choice for many data scientists and software developers, an implementation of FDA techniques in this programming language seems to be of some utility. Functional data analysis is a vast eld that keeps growing thanks to the work of numerous research teams around the world. That is why the aim of this project is not simply to design a FDA toolbox in Python but also to start an open-source project to which anybody can contribute. In this manner, the package can grow and be kept up to date even after the completion of this undergraduate thesis project. With these goals in mind, the fda Python project has been published in a public repository in GitHub. At the moment it includes basic FDA functionalities. In the long term we expect that it will become a comprehensive and widely-used toolbox for FDA

Methodology based on collaborative problem solving implemented in a high academic achievement group

[EN] The High Academic Achievement (ARA, by its acronym in Spanish) group began its course in the 2011/12 academic year to reinforce the potential of the most outstanding students since the beginning of their university studies. In order to improve the employability of this students, at least 50% of basic or compulsory credits of the degree are taught in English. In addition, a series of language training aids are provided, which also has advantages in obtaining Erasmus scholarships. The ARA group only offers 25 places each academic course. Being a small group, personalized teaching is enhanced while the schedule is compacted. In this contribution the methodology used in the subject of Signals and Systems of the Degree in Sound and Image in Telecommunication Engineering of the Alicante University (Spain) is presented. The methodology emphasizes the practical application of the subject and its direct applicability in real systems.Ferrando-Rocher, M.; Marini, S.; Galiana-Merino, J.; Carbajo, J. (2020). Methodology based on collaborative problem solving implemented in a high academic achievement group. En 6th International Conference on Higher Education Advances (HEAd'20). Editorial Universitat Politècnica de València. (30-05-2020):555-560. https://doi.org/10.4995/HEAd20.2020.11105OCS55556030-05-202

Dechado de perfección y estímulo á la virtud ó sermón fúnebre histórico panegírico-moral que en las solemnes exéquias... en el lugar de Sotillo en la Sanabria a la buena memoria de su hijo... Fr. Santiago fernández y Melgar...

Copia digital. Valladolid : Junta de Castilla y León. Consejería de Cultura y Turismo, 2009-201

scikit-fda: A Python Package for Functional Data Analysis

The library scikit-fda is a Python package for Functional Data Analysis (FDA). It provides a comprehensive set of tools for representation, preprocessing, and exploratory analysis of functional data. The library is built upon and integrated in Python's scientific ecosystem. In particular, it conforms to the scikit-learn application programming interface so as to take advantage of the functionality for machine learning provided by this package: pipelines, model selection, and hyperparameter tuning, among others. The scikit-fda package has been released as free and open-source software under a 3-Clause BSD license and is open to contributions from the FDA community. The library's extensive documentation includes step-by-step tutorials and detailed examples of use

El divino liberal : oracion panegyrica que en la festividad del Santissimo Sacramento que se celebró en la... Parroquia de San Isidoro de... Salamanca, el día veinte y cinco de Junio de... mil setecientos y dos

Copia digital. Valladolid : Junta de Castilla y León. Consejería de Cultura y Turismo, 2009-2010Fecha de licencia del ordinario: 1702Sign.: [parágrafo]\p4\s, A-B\p4\sApostillas marginalesPort. orlad

Collective excitations in liquid D2 confined within the mesoscopic pores of a MCM-41 molecular sieve

We present a comparative study of the excitations in bulk and liquid D2 confined within the pores of MCM-41. The material (Mobile Crystalline Material-41) is a silicate obtained by means of a template that yields a partially crystalline structure composed by arrays of nonintersecting hexagonal channels of controlled width having walls made of amorphous SiO2. Its porosity was characterized by means of adsorption isotherms and found to be composed by a regular array of pores having a narrow distribution of sizes with a most probable value of 2.45 nm. The assessment of the precise location of the sample within the pores is carried out by means of pressure isotherms. The study was conducted at two pressures which correspond to pore fillings above the capillary condensation regime. Within the range of wave vectors where collective excitations can be followed up (0.3<Q<3.0 $\AA$&#8722;1), we found confinement brings forward a large shortening of the excitation lifetimes that shifts the characteristic frequencies to higher energies. In addition, the coherent quasielastic scattering shows signatures of reduced diffusivity.Comment: 6 page

Areas of Non-Consensus Around One Anastomosis/Mini Gastric Bypass (OAGB/MGB): A Narrative Review

One anastomosis/mini gastric bypass (OAGB/MGB) is now an established bariatric and metabolic surgical procedure with good outcomes. Despite two recent consensus statements around OAGB/MGB, there are some issues which are not accepted as consensus and need more long-term data and research