3,271 research outputs found
Los procesos de integración de personas inmigrantes : límites y nuevas aportaciones para un estudio más integral
Los procesos de integración de personas inmigrantes es una cuestión de compleja conceptualización y de amplia discusión tanto en el ámbito de la política pública como desde la academia. El pretendido consenso europeo sobre la integración se ha quedado únicamente en el cómodo discurso de la bidireccionalidad y el estudio de los procesos de integración en las sociedades de acogida se ha planteado siempre desde parámetros cuantificadores y objetivistas que no son capaces de aprehender la diversidad de los mismos. Además el estudio de la integración ha pasado por alto la importancia que tiene la sociedad de origen y el vínculo que las perso - nas inmigrantes conservan con éstas, centrándose únicamente en la sociedad receptora como lugar de integración. En este trabajo propongo la ampliación de la mirada sobre la integración incorporando la perspectiva de origen y la subjetividad de la persona inmigrante como actor con capacidad de cuestionar, decidir y transformar las pautas y contextos en los que se produce la integración.The integration process of immigrants is a complex issue of conceptualization and extensive discussion both in the field of public policy and from the academia. The alleged European consensus about integration has only been in the comfortable speech of bidirectionality and the study of the integration process in host societies has been raised ever from quantifier and objectivist parameters that are not able to grasp the diversity of thereof. Furthermore, the study of integration has overlooked the importance of the society of origin and the link that immigrants remain with them, focusing only on the host society as a place of integration. In this paper I propose the extension of the look on the integration by incorporating the perspective of origin and the subjectivity of the immigrants as an actor with the capacity to question, decide and change the patterns and contexts in which integration occurs
Estudio analítico de los documentos de trabajo del parlamento europeo
El Parlamento Europeo es la institución representante de los intereses civiles en el marco de la Unión Europea. Como tal pero sobre todo, como único órgano de carácter asambleístico comunitario que es, genera series documentales con características muy definidas. El escaso número de estudios realizados en nuestro país sobre la documentación de trabajo de la Eurocámara dificulta no sólo la labor de los investigadores que han de enfrentarse, de forma ineludible, al complejo mapa documental del PE independientemente de cual sea el aspecto que sobre esta institución vayan a examinar sino la del conjunto de profesionales que desde el ámbito universitario intentamos acercar el repertorio bibliográfico-documental de la Unión a nuestros alumnos. Por todo ello, creemos oportuno ofrecer un análisis descriptivo de los principales documentos generados por la institución que tienen como fin ser presentados, debatidos y adoptados/rechazados por el hemiciclo eurocomunitario.The European Parliament is the institution which represents civilian interests within the framework of the European Union. As such, but above all, on account of its being the only organ of an assembly type nature for the community, it generates series of documents of very defined characteristics.The reduced number of studies carried out in our country concerning the working documents of the European Parliament causes difficulties, not only to research workers, who inevitably have to come to grips with the complex informational map of the European Parliament whatever aspect of this institution they may study, but also to all the professionals who, in the university sphere, attempt to bring our students into contact with the bibliographic-documentary repertory of the Union.These are the reasons for offering a descriptive analysis of the principal documents generated by the institution which are to be presented, debated and either approved or rejected by the European Parliament
Statistical methodology and software to analyse oscillatory signals with applications to biology
Many physiological and biological phenomena, such as menstrual cycles
(Draper et al. (2018)), reproductive activity (Simonneaux and Bahougne (2015),
Caba et al. (2018)), cell cycle (Liu et al. (2017)) or circadian biology (Hughes
et al. (2009), Zhang et al. (2014), Andreani et al. (2015), Seney et al. (2019)),
are governed by oscillatory systems consisting of numerous signals that exhibit
rhythmic patterns over time. For example, the circadian clock is a molecular
pacemaker that orchestrates daily functional activity including metabolic state,
endocrine activity or neural excitability. Genes involved in those processes that
exhibit rhythmic expression patterns along ~24-hour periods are called circadian
genes. The study of such signals with temporal rhythmic patterns, and
how these patterns change under different conditions, is called chronobiology.
Chronobiology has been an active area of research during the past two
decades, with major impact on treating cardiovascular disorders like hypertension
(Halberg et al. (2013)), detecting genes associated with neurodegenerative
disorders (Li et al. (2013)) or depression (Chauhan et al. (2017)), and improving
the effectiveness of cancer treatments (Chan et al. (2017)). For instance, Haus
(2009) demonstrated that the timing of radiation according to host and/or tumour
rhythms improves the toxic/therapeutic ratio of the treatment. These and
other findings in biomedical sciences have increased interest in chronobiological
experiments.
From a statistical point of view, the analysis of rhythmic signals ( ) in
chronobiology has several challenges because of: (a) displays a wide variety
of rhythmic patterns over time, which are not exactly sinusoidal or even symmetric
(Koren£i£ et al. (2012), Zhang et al. (2014), Rueda et al. (2019)); (b)
the density of the time points and the number of periods of data is usually very
small (Panda et al. (2002), Hughes et al. (2007, 2009), Yang and Su (2010));
(c) the intrinsic circular nature of data from oscillatory systems; (d) the vari-
1
ability in time course expression data due to noisy nature of the data; (e) in
some applications, the temporal order among samples may be unknown. For
these reasons, standard time series or Fourier models are not convenient for the
analysis of chronobiological rhythms (Elkum and Myles (2006), Wijnen et al.
(2006), Leise (2013)). Models based on parametric functions of time, such as
Cosinor, have been proposed in chronobiology to model these patterns (Tong
(1976), Cornelissen (2014)). The main drawback of these approaches is that
such parametric functions are too rigid, as signals in oscillatory systems very
often exhibit asymmetric patterns.
There are several commonly encountered problems in chronobiology. The
main problem to solve in this context is rhythmicity detection as not all patterns
observed in an oscillatory system display rhythmic patterns. For a given signal
; rhythmicity detection can be formulated as the following hypothesis test:
H0 : is a flat signal (1.1)
H1 : is rhythmic signal.
This problem has been studied extensively in literature, existing a wide
variety of procedures to address it including, among others, those based on sinusoidal
curve fitting (Liu et al. (2004), Straume (2004), Cornelissen (2014)),
autocorrelation (Levine et al. (2002)) or Fourier analyses (Wichert et al. (2004)).
Some non-parametric approaches, such as JTK_Cycle (JTK) (Hughes et al.
(2010)) and RAIN (Thaben and Westermark (2014)), based on Jonckheere-
Terpstra test and Kendall's tau correlation, are widely employed by biologists.
However, these two latter approaches do not detect asymmetric rhythmic patterns
properly.
A fundamental assumption made in the above discussion is that the time
corresponding to each biological sample is known. However, in many instances,
such as when dealing with samples obtained from human cadavers (Li et al.
(2013), Seney et al. (2019)) or human organ biopsies, (Lamb et al. (2011), Bossé
et al. (2012)), the exact time corresponding to each biological sample may be
unknown. In such cases, one needs to first estimate or determine the time associated
with each sample before investigating rhythmicity. This problem, known
as temporal order estimation, is other crucial issue in chronobiology. Some recent
procedures to cope with this problem are Oscope (Leng et al. (2015)) and
CYCLOPS (Anafi et al. (2017)). Oscope was specifically designed to recover
cell cycle dynamic, and it is only applicable in single cell RNA-Seq experiments.
CYCLOPS is far from a mathematical close-fitting formulation. It is based on a
neural network framework (which is like a black box) and uses additional rhythmicity
information which is not always available.
In addition to the major rhythmicity issues mentioned above, other interesting
questions related to the analysis of oscillatory signals, such as peak time
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estimation or rhythm-pattern comparisons, deserve consideration. For instance,
when dealing with circadian genes, time peak estimation reveals crucial information
for biologists about the timings at which genes' biological function is
carried out.
The main motivation of this thesis was to solve appealing rhythmicity questions
specifically related to the analysis of circadian gene expression. In particular,
the starting problem of this thesis was to identify among the several
thousand of genes registered in a genetic study, those that display rhythmic
expression patterns.Departamento de Estadística e Investigación OperativaDoctorado en Matemática
MIPyMES influence on job creation in Texcoco, XI Region, State of Mexico
The aim of this study was to analyze MIPyMEs in Texcoco Region XI and determine their influence on job creation. According to the economic census data contained in the National Directory of Economic Units (2010 and 2014), in this area there were 18,304 establishments in 2000, with a MIPyME participation of 99.96% By 2014, this number increased to 19.801, with 99.89%. The PEA grew to 111,049 people in 2005, in comparison to 2000. For 2010, the PEA showed a significant growth to 155, 439 people, as well as the occupied people that move to 153,700.El objetivo de este trabajo es analizar las micro, pequeñas y medianas empresas (MIPyMES) en la Región XI Texcoco y determinar su influencia en la generación de empleos. Según datos recabados del censo económico contenidos en el Directorio Nacional de Unidades Económicas (DNUE, 2010 y 2014), en esta zona, para el 2010, existían 18,304 establecimientos con una participación de 99.96% para las MIPyMES. Para el 2014, esta cifra pasó a 19,801; las MIPyMES representaban el 99.89%. La PEA, en el año 2005, creció en comparación con el año 2000 al pasar a 111,049 personas. Para 2010, la PEA mostró un crecimiento significativo a pasar a 155, 439 personas. También creció la población ocupada al pasar a 153,700 personas
Responsabilidad del estado en casos de contagio de infecciones intrahospitalarias
Artículo de investigaciónEl presente artículo presenta un análisis del escenario de contagio de pacientes en clínicas u hospitales públicos y la estructuracion de la
responsabilidad del Estado en estos casos, basado en una metodología de
análisis jurisprudencial y doctrinal que permita determinar el título de imputación y
los casos que se han presentando en Colombia. El riesgo de contagio de
infecciones en el ámbito intrahospitalario no se puede eliminar; cumplir los
protocolos, si bien es cierto, disminuye tangiblemente la posibilidad de la
ocurrencia de este hecho, no garantiza que no se pueda presentar esta situación,
en ese sentido se hace nacesario realizar una análisis de la responsabilidad que
puede surgir cuando dicho riesgo se llegue a materializar. Así entonces surge en
interrogante ¿Cómo se estructura la responsabilidad del estado en los casos de
contagio de infecciones intrahospitalarias? A partir del desarrollo de este artículo
de reflexión se exponen los posibles escenarios que se pueden presentar en el
caso de contagio de una infección intrahospitalaria a un paciente, y este cause
daños graves a su salud o incluso la muerte del mismo.36 p.1. RIESGOS DE CONTAGIO DE INFECCIONES INTRAHOSPITALARIAS
2. RESPONSABILIDAD DEL ESTADO POR ACTIVIDAD MEDICO - SANITARIA
3.REGÍMENES DE RESPONSABILIDAD DEL ESTADO EN MATERIA DE
RESPONSABILIDAD MÉDICO –SANITARIA.
4.RESPONSABILIDAD POR CONTAGIO DE INFECCIONES
INTRAHOSPITALARIAS.
CONCLUSIONES
REFERENCIASPregradoAbogad
Preparing for generation Z:how can technology enhanced learning be firmly embedded in our students' learning experience? A case study from Abertay University
Abertay is a relatively small, modern university (undergraduate population of around 4000) with a wide portfolio and a diverse student population. Around 35% of our students are direct entry from local partner colleges to years 2 and 3 of our programmes and a significant number are first generation higher education within their families. As such, partnership working with colleges and support to aid student transitions are key aspects of Abertay’s provision. Since 2013/14, the university has developed and implemented a new Teaching and Learning Enhancement strategy that has catalysed wholescale transformation across the institution. This paper provides an overview of technology enhanced learning at the university with the drivers for change being to the quality of our students' learning experience, improve student retention and progression and enhance learners’ engagement
On the number of coincidences of morphisms between closed Riemann surfaces
We give a bound for the number of coincidentes of two morphisms between given compact Riemann surfaces (complete complex algebraic curves). Our results generalize well known facts about the number of fixed points of an automorphism
A Finite Element Numerical Algorithm for Modelling and Data Fitting in Complex Systems
Numerical modelling methodologies are important by their application to engineering and scientific problems, because there are processes where analytical mathematical expressions cannot be obtained to model them. When the only available information is a set of experimental values for the variables that determine the state of the system, the modelling problem is equivalent to determining the hyper-surface that best fits the data. This paper presents a methodology based on the Galerkin formulation of the finite elements method to obtain representations of relationships that are defined a priori, between a set of variables: y = z(x1, x2,...., xd). These representations are generated from the values of the variables in the experimental data. The approximation, piecewise, is an element of a Sobolev space and has derivatives defined in a general sense into this space. The using of this approach results in the need of inverting a linear system with a structure that allows a fast solver algorithm. The algorithm can be used in a variety of fields, being a multidisciplinary tool. The validity of the methodology is studied considering two real applications: a problem in hydrodynamics and a problem of engineering related to fluids, heat and transport in an energy generation plant. Also a test of the predictive capacity of the methodology is performed using a cross-validation method
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