402 research outputs found

    Efectos de la crisis y propuestas para su recuperación en el sector turístico español

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    Este artículo analiza la situación del sector turístico español en un momento de crisis socioeconómica y de replanteamiento estratégico a todos los niveles. Para ello, llevamos a cabo una reflexión basada en una revisión de literatura científica sobre la crisis en el sector y muy especialmente sobre caso español, otorgando especial relevancia a aspectos tales como los cambios en los hábitos y en el comportamiento de los turistas, así como a las estrategias y a las medidas tomadas para intentar dar respuesta y paliar los efectos de la crisis en el ámbito del sector. Finalmente, proponemos una serie de recomendaciones surgidas de la reflexión previa y que pueden suponer diferentes líneas y posibilidades a tener en cuenta de cara a una recuperación del sector turístico español a corto y a medio plazo

    Fall Detection from Electrocardiogram (ECG) Signals and Classification by Deep Transfer Learning

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    Fall is a prominent issue due to its severe consequences both physically and mentally. Fall detection and prevention is a critical area of research because it can help elderly people to depend less on caregivers and allow them to live and move more independently. Using electrocardiograms (ECG) signals independently for fall detection and activity classification is a novel approach used in this paper. An algorithm has been proposed which uses pre-trained convolutional neural networks AlexNet and GoogLeNet as a classifier between the fall and no fall scenarios using electrocardiogram signals. The ECGs for both falling and no falling cases were obtained as part of the study using eight volunteers. The signals are pre-processed using an elliptical filter for signal noises such as baseline wander and power-line interface. As feature extractors, frequency-time representations (scalograms) were obtained by applying a continuous wavelet transform on the filtered ECG signals. These scalograms were used as inputs to the neural network and a significant validation accuracy of 98.08% was achieved in the first model. The trained model is able to distinguish ECGs with a fall activity from an ECG with a no fall activity with an accuracy of 98.02%. For the verification of the robustness of the proposed algorithm, our experimental dataset was augmented by adding two different publicly available datasets to it. The second model can classify fall, daily activities and no activities with an accuracy of 98.44%. These models were developed by transfer learning from the domain of real images to the medical images. In comparison to traditional deep learning approaches, the transfer learning not only avoids "reinventing the wheel," but also presents a lightweight solution to otherwise computationally heavy problems.This research was funded by the research support program of Fb2, Frankfurt University of Applied Sciences. The research of D.G.-U. has been supported in part by the Spanish MICINN under grants PGC2018-096504-B-C33 and RTI2018-100754-B-I00, the European Union under the 2014-2020 ERDF Operational Programme and the Department of Economy, Knowledge, Business and University of the Regional Government of Andalusia (project FEDER-UCA18-108393). The research of I.M.-B. has been supported in part by the European Commission (ERDF), the Spanish Ministry of Science, Innovation and Universities [RTI2018-093608-BC33]

    Validation of the Spanish Acute Cystitis Symptoms Score (ACSS) in native Spanish‐speaking women of Europe and Latin America

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    Introduction and Objectives The Acute Cystitis Symptom Score (ACSS) is a patient self-reporting questionnaire for clinical diagnostics and patient-reported outcome (PRO), which may assess the symptoms and the effect on the quality of life in women with acute cystitis (AC). The current study aimed to create a validated Spanish version of the ACSS questionnaire. Material and Methods The process of linguistic validation of the Spanish version of the ACSS consisted of the independent forward and backward translations, revision and reconciliation, and cognitive assessment. Clinical evaluation of the study version of the ACSS was carried out in clinics in Spain and Latin America. Statistical tests included the calculation of Cronbach's α, split-half reliability, specificity, sensitivity, diagnostic odds ratio, positive and negative likelihood ratio, and area under the receiver-operating characteristic curve (AUC). Results The study was performed on 132 patients [age (mean;SD) 45.0;17.8 years] with AC and 55 controls (44.5;12.2 years). Cronbach's α of the ACSS was 0.86, and the split-half reliability was 0.82. The summary scores of the ACSS domains were significantly higher in patients than in controls, 16.0 and 2.0 (p < 0.001), respectively. The predefined cut-off point of ≥6 for a summary score of the “Typical” domain resulted in a specificity of 83.6% and a sensitivity of 99.2% for the Spanish version of the ACSS. AUC was 0.91 [0.85; 0.97]. Conclusions The validated Spanish ACSS questionnaire evaluates the symptoms and clinical outcomes of patients with AC. It can be used as a patient's self-diagnosis of AC, as a PRO measure tool, and help to rule out other pathologies in patients with voiding syndrome

    Innovación y estrategias de intervención en acoso escolar

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    Los problemas de convivencia escolar, violencia escolar, bullying y cyberbullying, en los centros españoles son una realidad y, por tanto, es necesario que los futuros docentes cuenten con estrategias específicas para el abordaje de estas situaciones cuando se enfrenten a la realidad de las aulas. En este manual, profesionales del área de la convivencia escolar presentan las actuaciones, programas y herramientas disponibles que en estos momentos se están poniendo en práctica en los centros escolares con resultados positivos. Así, se pretende ampliar el conocimiento teórico-práctico en el ámbito de la convivencia, gestión de conflictos y violencia escolar.EducaciónPsicologí

    SMARCA4 deficient tumours are vulnerable to KDM6A/UTX and KDM6B/JMJD3 blockade

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    The authors thank Isabel Bartolessis (Cancer Genetics Group) at IJC for technical assistance. This work was supported by the Spanish Ministry of Economy and CompetitivityMINECO (grant number SAF-2017-82186R, to M.S.-C., and grant PI19/01320 to A. Villanueva) and from the Fundacion Cientifica of the Asociacion Espanola Contra el Cancer (AECC) (grant number GCB14142170MONT) to M.S.-C. A. Villanueva is also funded by the Department of Health of the Generalitat de Catalunya (2014SGR364). O.A. R. received a Juan de la Cierva postdoctoral contract (grant No. IJCI-2016-28201, until November 2019) and an AECC research contract (INVES19045ROME from December 2019). A. Vilarrubi, P.L. and A.A. are supported by pre-doctoral contracts from the Spanish MINECO (FPI-fellowship: PRE2018-084624, BES-2015-072204 and FPU17/00067). M.S. was supported by a Rio Hortega contract from the Instituto de Salud Carlos III (CM17/00180). L.F. received a European Union Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Actions grant agreement, number 799850.Despite the genetic inactivation of SMARCA4, a core component of the SWI/SNF-complex commonly found in cancer, there are no therapies that effectively target SMARCA4-deficient tumours. Here, we show that, unlike the cells with activated MYC oncogene, cells with SMARCA4 inactivation are refractory to the histone deacetylase inhibitor, SAHA, leading to the aberrant accumulation of H3K27me3. SMARCA4-mutant cells also show an impaired transactivation and significantly reduced levels of the histone demethylases KDM6A/UTX and KDM6B/JMJD3, and a strong dependency on these histone demethylases, so that its inhibition compromises cell viability. Administering the KDM6 inhibitor GSK-J4 to mice orthotopically implanted with SMARCA4-mutant lung cancer cells or primary small cell carcinoma of the ovary, hypercalcaemic type (SCCOHT), had strong anti-tumour effects. In this work we highlight the vulnerability of KDM6 inhibitors as a characteristic that could be exploited for treating SMARCA4-mutant cancer patients.Spanish Ministry of Economy and Competitivity-MINECO SAF-2017-82186R PI19/01320Fundacion Cientifica of the Asociacion Espanola Contra el Cancer (AECC) GCB14142170MONTDepartment of Health of the Generalitat de Catalunya 2014SGR364Juan de la Cierva postdoctoral contract IJCI-2016-28201AECC research contract INVES19045ROMESpanish MINECO PRE2018-084624 BES-2015-072204 FPU17/00067Instituto de Salud Carlos III European Commission CM17/00180European Union Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Actions grant agreement 79985

    BIM en la construcción

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    244 páginas.En la actualidad, con la metodología BIM (Building Information Modeling), todos los sistemas de información de los procesos productivos en la obra se han integrado, la información se puede compartir a distancia y en tiempo real con todos los actores involucrados en el proyecto. En estas condiciones, las instituciones generadoras de obras y las empresas prestadoras de servicios se están rediseñando con nuevos modelos de negocios enfocados en satisfacer las actuales demandas y experiencias de los clientes. El libro que aquí se presenta reúne el trabajo de investigación referente a BIM de la Red Académica de Diseño Construcción integrada por académicos de la Facultad de Ingeniería de la Universidad Autónoma de Yucatán, México (UADY), el Worcester Polytechnical Institute (WPI) de Massachusetts, Estados Unidos y del Área de Administración y Tecnología para el Diseño de la Universidad Autónoma Metropolitana, Unidad Azcapotzalco (UAM). También han colaborado con la Red investigadores de la Universidad Politécnica de Madrid (UPM), España y, dentro de la UAM, académicos de la División de Ciencias Básicas e Ingeniería, Departamento de Materiales, del Área de Construcción. Cabe mencionar que los artículos ya han sido publicados con anterioridad en los Anuarios de Administración y Tecnología para el Diseño y las Compilaciones de Artículos de Investigación en Administración y Tecnología para la Arquitectura, Diseño e Ingeniería, productos del trabajo de investigación del Área que edita anualmente desde 1999, como se indica en el índice del presente libro

    Perspectivas de la empresa y la economía mexicana frente a la reestructuración productiva

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    1 archivo PDF (404 páginas)Este texto se presenta una reflexión de investigadores de la UAM, así como de otras Instituciones de Educación Superior respecto al marco en el que se han desenvuelto las empresas mexicanas en los últimos años, así como del desarrollo en algunos de sus sistemas organizacionales. PALABRAS CLAVE: Mexico Economic policy 1970-1994

    Effectiveness of a strategy that uses educational games to implement clinical practice guidelines among Spanish residents of family and community medicine (e-EDUCAGUIA project):A clinical trial by clusters

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    This study was funded by the Fondo de Investigaciones Sanitarias FIS Grant Number PI11/0477 ISCIII.-REDISSEC Proyecto RD12/0001/0012 AND FEDER Funding.Background: Clinical practice guidelines (CPGs) have been developed with the aim of helping health professionals, patients, and caregivers make decisions about their health care, using the best available evidence. In many cases, incorporation of these recommendations into clinical practice also implies a need for changes in routine clinical practice. Using educational games as a strategy for implementing recommendations among health professionals has been demonstrated to be effective in some studies; however, evidence is still scarce. The primary objective of this study is to assess the effectiveness of a teaching strategy for the implementation of CPGs using educational games (e-learning EDUCAGUIA) to improve knowledge and skills related to clinical decision-making by residents in family medicine. The primary objective will be evaluated at 1 and 6months after the intervention. The secondary objectives are to identify barriers and facilitators for the use of guidelines by residents of family medicine and to describe the educational strategies used by Spanish teaching units of family and community medicine to encourage implementation of CPGs. Methods/design: We propose a multicenter clinical trial with randomized allocation by clusters of family and community medicine teaching units in Spain. The sample size will be 394 residents (197 in each group), with the teaching units as the randomization unit and the residents comprising the analysis unit. For the intervention, both groups will receive an initial 1-h session on clinical practice guideline use and the usual dissemination strategy by e-mail. The intervention group (e-learning EDUCAGUIA) strategy will consist of educational games with hypothetical clinical scenarios in a virtual environment. The primary outcome will be the score obtained by the residents on evaluation questionnaires for each clinical practice guideline. Other included variables will be the sociodemographic and training variables of the residents and the teaching unit characteristics. The statistical analysis will consist of a descriptive analysis of variables and a baseline comparison of both groups. For the primary outcome analysis, an average score comparison of hypothetical scenario questionnaires between the EDUCAGUIA intervention group and the control group will be performed at 1 and 6months post-intervention, using 95% confidence intervals. A linear multilevel regression will be used to adjust the model. Discussion: The identification of effective teaching strategies will facilitate the incorporation of available knowledge into clinical practice that could eventually improve patient outcomes. The inclusion of information technologies as teaching tools permits greater learning autonomy and allows deeper instructor participation in the monitoring and supervision of residents. The long-term impact of this strategy is unknown; however, because it is aimed at professionals undergoing training and it addresses prevalent health problems, a small effect can be of great relevance. Trial registration: ClinicalTrials.gov: NCT02210442.Publisher PDFPeer reviewe
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