49 resultados para Financiación


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El Carnaval de Cádiz puede considerarse un fenómeno sociológico de especial singularidad. Su evolución histórica, desde sus orígenes más remotos hasta hoy, lo ha dotado de un marcado carácter contestatario. Además, el desarrollo de sus agrupaciones (principalmente sus coros, chirigotas, comparsas y cuartetos) le diferencia de otros carnavales del mundo y lo identifica también como un fenómeno comunicacional. Es precisamente ahí donde se centra este trabajo: las relaciones entre el carnaval gaditano y los mass media, concretamente la prensa escrita.

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This paper presents a distributed hierarchical multiagent architecture for detecting SQL injection attacks against databases. It uses a novel strategy, which is supported by a Case-Based Reasoning mechanism, which provides to the classifier agents with a great capacity of learning and adaptation to face this type of attack. The architecture combines strategies of intrusion detection systems such as misuse detection and anomaly detection. It has been tested and the results are presented in this paper.

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This paper explores the role of information and communication technologies in managing risk and early discharge patients, and suggests innovative actions in the area of E-Health services. Treatments of chronic illnesses, or treatments of special needs such as cardiovascular diseases, are conducted in long-stay hospitals, and in some cases, in the homes of patients with a follow-up from primary care centre. The evolution of this model is following a clear trend: trying to reduce the time and the number of visits by patients to health centres and derive tasks, so far as possible, toward outpatient care. Also the number of Early Discharge Patients (EDP) is growing, thus permiting a saving in the resources of the care center. The adequacy of agent and mobile technologies is assessed in light of the particular requirements of health care applications. A software system architecture is outlined and discussed. The major contributions are: first, the conceptualization of multiple mobile and desktop devices as part of a single distributed computing system where software agents are being executed and interact from their remote locations. Second, the use of distributed decision making in multiagent systems, as a means to integrate remote evidence and knowledge obtained from data that is being collected and/or processed by distributed devices. The system will be applied to patients with cardiovascular or Chronic Obstructive Pulmonary Diseases (COPD) as well as to ambulatory surgery patients. The proposed system will allow to transmit the patient's location and some information about his/her illness to the hospital or care centre

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The conjugate gradient is the most popular optimization method for solving large systems of linear equations. In a system identification problem, for example, where very large impulse response is involved, it is necessary to apply a particular strategy which diminishes the delay, while improving the convergence time. In this paper we propose a new scheme which combines frequency-domain adaptive filtering with a conjugate gradient technique in order to solve a high order multichannel adaptive filter, while being delayless and guaranteeing a very short convergence time.

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Data sources are often dispersed geographically in real life applications. Finding a knowledge model may require to join all the data sources and to run a machine learning algorithm on the joint set. We present an alternative based on a Multi Agent System (MAS): an agent mines one data source in order to extract a local theory (knowledge model) and then merges it with the previous MAS theory using a knowledge fusion technique. This way, we obtain a global theory that summarizes the distributed knowledge without spending resources and time in joining data sources. New experiments have been executed including statistical significance analysis. The results show that, as a result of knowledge fusion, the accuracy of initial theories is significantly improved as well as the accuracy of the monolithic solution.

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El objetivo de este estudio es evaluar la eficacia de los tratamientos más utilizados en infecciones odontogénicas en niños y adolescentes aplicando criterios farmacocinéticos/farmacodinámicos (PK/PD). Se han simulado las curvas de concentración plasmática libre-tiempo a partir de parámetros farmacocinéticos medios de amoxicilina, amoxicilina-ácido clavulánico, cefuroxima axetilo, espiramicina, clindamicina, azitromicina y metronidazol. Para los antibióticos con actividad dependiente del tiempo, se ha calculado el tiempo durante el cual las concentraciones permanecen por encima de la concentración inhibitoria mínima (CIM90) de los microorganismos (T>CIM). Para los antimicrobianos con actividad dependiente de la concentración, se ha calculado el cociente entre el área bajo la curva y la CIM90 (ABC/CIM90). Con amoxicilina-ácido clavulánico (80 mg/kg/día) se han obtenido índices de eficacia adecuados frente a los microorganismos estudiados (T > CIM > 40%), excepto paraVeillonella spp. Clindamicina (40 mg/kg/día) también ha presentado índices PK/PD adecuados frente a la mayoría de los patógenos, excepto Lactobacillus, Actinobacillus actinomycetemcomitans, Peptostreptococcus resistente a penicilina y Eikenella corrodens. Con dosis altas de amoxicilina los resultados no han sido satisfactorios frente a varias especies bacterianas. Con azitromicina y metronidazol no se han alcanzado valores adecuados frente a la mayoría de patógenos (ABC/CIM90 < 25). En conclusión, el tratamiento empírico más adecuado en infecciones odontogénicas en niños y adolescentes es amoxicilina-ácido clavulánico en altas dosis de amoxicilina, aunque se puede utilizar como alternativa clindamicina. Sería conveniente confirmar estos resultados mediante ensayos clínicos, para cuyo diseño y evaluación podría ser de gran utilidad la aplicación de estudios PK/PD.

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Alzheimer's disease makes great demands on care by assistants, due to the fact that they cannot distract their attention from patients while they are at the same time managing records. For that reason, technologies to complement this process need to be adapted. In this work we present a proposal to adapt identification technologies: Radiofrequency Identification (RFID) and Near Field Communications (NFC), focusing especially on the last one. We fuse both technologies and apply them to an Alzheimer's day center. Patients are tagged with two kinds of labels: 13.56Mhz.Mifare for NFC and UHF for RFID. With the first one we tag the context, which means patients, devices (displays, exercise books, etc) and places. With a simple interaction, which involves touching tags with mobile phones, it is possible to manage the information easily. Moreover, with RFID, we localize each patient by the simple act of their passing by an antenna placed in the doors.

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In this work we present an important improvement in our model of biped mechanism that allows the elevation in a stable form of the system's feet during the execution of trajectories. This improvement allows for simpler trajectory planning and also facilitates the reduction of losses in the collision between the feet and the ground. On the other hand, we add to the design phase the study of the displacement of the Zero Moment Point, as well as the variation of the normal component of the ground reaction force during the motion of the system. Consideration of the above mentioned magnitudes in the design phase allows us to design the necessary support area of the system. These magnitudes will be used as a smoothness criterion of the ground contact to facilitate the selection of robot parameters and trajectories.

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Semantic relations are an important element in the construction of ontology-based linguistic resources and models of problem domains. Nevertheless, they remain under-specified. This is a pervasive problem in both Software Engineering and Artificial Intelligence. Thus, we find semantic links that can have multiple interpretations, abstractions that are not enough to represent the relation richness of problem domains, and even poorly structured taxonomies. However, if provided with precise semantics, some of these problems can be avoided, and meaningful operations can be performed on them that can be an aid in the ontology construction process. In this paper we present some insightful issues about the representation of relations. Moreover, the initiatives aiming to provide relations with clear semantics are explained and the inclusion of their core ideas as part of a methodology for the development of ontology-based linguistic resources is proposed.

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Semantic relations are an important element in the construction of ontologies and models of problem domains. Nevertheless, they remain fuzzy or under-specified. This is a pervasive problem in software engineering and artificial intelligence. Thus, we find semantic links that can have multiple interpretations in wide-coverage ontologies, semantic data models with abstractions that are not enough to capture the relation richness of problem domains, and improperly structured taxonomies. However, if relations are provided with precise semantics, some of these problems can be avoided, and meaningful operations can be performed on them. In this paper we present some insightful issues about the modeling, representation and usage of relations including the available taxonomy structuring methodologies as well as the initiatives aiming to provide relations with precise semantics. Moreover, we explain and propose the control of relations as a key issue for the coherent construction of ontologies.

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In the Region of Madrid, universal immunization with the 13-serotypes pneumococcal conjugate vaccine (PCV13) started in May 2010. In July 2012, public funding ceased. Vaccination coverage decreased from >95% to 82% in 2013 and to 67% in 2014. Our aim was to investigate the impact of PCV13 withdrawal from Madrid Region's universal immunization program on the incidence of complicated pneumococcal bacteremia. We performed a multi-center retrospective cohort study, from 2009 to 2014. Participants were children aged <14 years with Streptococcus pneumoniae bacteremia. Complications were defined as any condition requiring intensive care or surgery. Sequelae were conditions lasting ≥90 days. A total of 168 patients were recruited. One-fourth of both immunized and non-immunized patients had complications. Global complications increased after PCV13 withdrawal. A total of 28% of PCV13 serotypes presented complications. Complications due to PCV13 serotypes did not increase after July 2012. No-PCV13 serotypes increased progressively from 2009 on, and 23% presented complications. A significant risk of complications was found for patients with meningitis, empyema, C-reactive protein >100 mg/L, and serotype 1. A multivariate analysis indicated that complications were associated with meningitis and hospital admission after July 2012. Sequelae were significantly associated with children <2 years of age, meningitis and no-PCV13 serotypes. The incidence of complications due to PCV13 serotypes did not increase two years after PCV13 withdrawal. Nevertheless, all-serotypes complications increased. The likely cause was that no-PCV13 serotypes (associated with meningitis) are on the rise.

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This paper presents LABNET, an internet-based remote laboratory for control engineering education developed at UEM-University. At present, the remote laboratory integrates three basic physical systems (level control, temperature control and ship stabilizing system). In this paper, the LABNET architecture is presented and discussed in detail. Issues concerned with concurrent user access, local or remote feedback, automatic report generating and reusing of experiment’s templates have been addressed. Furthermore, the experiences gained developing, testing and using the system will be also presented and their consequences for future design.

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In the field of multiscale analysis of signals, including images, the wavelet transform is one of the most attractive and powerful tool due to its ability to focus on signals structures at different scales. Wavelet Transform at different scales is successfully applied to image characterization (which can be applied to a watermarking scheme) and multiscale singularity detection and processing. In this work we show further research of computation of multifractals properties such as the multifractal spectrum (D(alpha)) applied to dye stained images of natural terrain. This can be useful for statically describing preferential flow path geometry.

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The association of an excessive blood pressure increase with exercise (EBPIE) on cardiovascular outcomes remains controversial. We sought to assess its impact on the risk of all-cause mortality and major cardiac events in patients with known or suspected coronary artery disease (CAD) referred for stress testing. Exercise echocardiography was performed in 10,047 patients with known or suspected CAD. An EBPIE was defined as an increase in systolic blood pressure with exercise ≥80 mmHg. The endpoints were all-cause mortality and major cardiac events (MACE), including cardiac death or nonfatal myocardial infarction (MI). Overall, 573 patients exhibited an EBPIE during the tests. Over a mean follow-up of 4.8 years, there were 1,950 deaths (including 725 cardiac deaths), 1,477 MI, and 1,900 MACE. The cumulative 10-year rates of all-cause mortality, cardiac death, nonfatal MI and MACE were 32.9%, 13.1%, 26,9% and 33% in patients who did not develop an EBPIE vs. 18.9%, 4.7%, 17.5% and 20.7% in those experiencing an EBPIE, respectively (p <0.001 for all comparisons). In Cox regression analyses, an EBPIE remained predictive of all-cause mortality (hazard ratio [HR] 0.73, 95% confidence interval [CI] 0.59-0.91, p = 0.004), cardiac death (HR 0.67, 95% CI 0.46-0.98, p = 0.04), MI (HR 0.67, 95% CI 0.52-0.86, p = 0.002), and MACE (HR 0.69, 95% CI 0.56-0.86, p = 0.001). An EBPIE was associated with a significantly lower risk of mortality and MACE in patients with known or suspected CAD referred for stress testing.

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Pregnancy and motherhood have been historically considered as reasons why elite sportswomen may end their sport careers. During pregnancy, the safety of both mother and baby has been identified as a key reason for ceasing sport participation. Recent “official” statistics on how many elite athletes are mothers suggest that pregnancy, motherhood, and sport could be no longer mutually exclusive. The aim of this qualitative phenomenological study was to describe the lived pregnancy of Spanish elite sportswomen. Spanish elite sportswomen (n = 20) aged between 18 and 65 years that had been pregnant during their sporting professional career and after the end of their pregnancy had taken up again their professional sporting career for at least one year were included. Data were collected from May 2010 to April 2012 using in-depth personal interviews, investigator’s field notes, and extracts from the participants’ personal letters. Identified themes included: choosing the right moment; fears and doubts; and justifying physical exercise. By giving voice to these elite Spanish sportswomen, their pregnancy experiences are made visible, which might help to gain a better understanding into their expectations and develop policies and practices focused on elite sportswomen during and after pregnancy.