993 resultados para W-gamma Z-gamma
Resumo:
In coeliac disease, the intake of dietary gluten induces small-bowel mucosal damage and the production of immunoglobulin (Ig)A class autoantibodies against transglutaminase 2 (TG2). We examined the effect of coeliac patient IgA on the apical-to-basal passage of gluten-derived gliadin peptides p31-43 and p57-68 in intestinal epithelial cells. We demonstrate that coeliac IgA enhances the passage of gliadin peptides, which could be abolished by inhibition of TG2 enzymatic activity. Moreover, we also found that both the apical and the basal cell culture media containing the immunogenic gliadin peptides were able to induce the proliferation of deamidation-dependent coeliac patient-derived T cells even in the absence of exogenous TG2. Our results suggest that coeliac patient IgA could play a role in the transepithelial passage of gliadin peptides, a process during which they might be deamidated.
Resumo:
The emerging technologies have expanded a new dimension of self – ‘technoself’ driven by socio-technical innovations and taken an important step forward in pervasive learning. Technology Enhanced Learning (TEL) research has increasingly focused on emergent technologies such as Augmented Reality (AR) for augmented learning, mobile learning, and game-based learning in order to improve self-motivation and self-engagement of the learners in enriched multimodal learning environments. These researches take advantage of technological innovations in hardware and software across different platforms and devices including tablets, phoneblets and even game consoles and their increasing popularity for pervasive learning with the significant development of personalization processes which place the student at the center of the learning process. In particular, augmented reality (AR) research has matured to a level to facilitate augmented learning, which is defined as an on-demand learning technique where the learning environment adapts to the needs and inputs from learners. In this paper we firstly study the role of Technology Acceptance Model (TAM) which is one of the most influential theories applied in TEL on how learners come to accept and use a new technology. Then we present the design methodology of the technoself approach for pervasive learning and introduce technoself enhanced learning as a novel pedagogical model to improve student engagement by shaping personal learning focus and setting. Furthermore we describe the design and development of an AR-based interactive digital interpretation system for augmented learning and discuss key features. By incorporating mobiles, game simulation, voice recognition, and multimodal interaction through Augmented Reality, the learning contents can be geared toward learner's needs and learners can stimulate discovery and gain greater understanding. The system demonstrates that Augmented Reality can provide rich contextual learning environment and contents tailored for individuals. Augment learning via AR can bridge this gap between the theoretical learning and practical learning, and focus on how the real and virtual can be combined together to fulfill different learning objectives, requirements, and even environments. Finally, we validate and evaluate the AR-based technoself enhanced learning approach to enhancing the student motivation and engagement in the learning process through experimental learning practices. It shows that Augmented Reality is well aligned with constructive learning strategies, as learners can control their own learning and manipulate objects that are not real in augmented environment to derive and acquire understanding and knowledge in a broad diversity of learning practices including constructive activities and analytical activities.
Resumo:
Due to the variability and stochastic nature of wind power system, accurate wind power forecasting has an important role in developing reliable and economic power system operation and control strategies. As wind variability is stochastic, Gaussian Process regression has recently been introduced to capture the randomness of wind energy. However, the disadvantages of Gaussian Process regression include its computation complexity and incapability to adapt to time varying time-series systems. A variant Gaussian Process for time series forecasting is introduced in this study to address these issues. This new method is shown to be capable of reducing computational complexity and increasing prediction accuracy. It is further proved that the forecasting result converges as the number of available data approaches innite. Further, a teaching learning based optimization (TLBO) method is used to train the model and to accelerate
the learning rate. The proposed modelling and optimization method is applied to forecast both the wind power generation of Ireland and that from a single wind farm to show the eectiveness of the proposed method.
Resumo:
Wydział Prawa i Administracji: Katedra Prawa Finansowego
Resumo:
Wydział Filologii Polskiej i Klasycznej
Resumo:
Wydział Filologii Polskiej i Klasycznej
Resumo:
In this study the author presents the concept of the Umberto Eco’s model of "open work". The question is: if this model can be applied to Bible. Umberto Eco argued that literary texts have many fields of meaning, that they are understood as open, internally dynamic and psychologically engaged fields. We can say the same about Bible. The model of "open works" is very useful in the research of relation between Bible and a reader of Saint text. The model of "open works" does not include verification function of the community and Tradition.
Resumo:
Wydział Neofilologii: Instytut Filologii Germańskiej
Resumo:
2009
Resumo:
Esta investigación midió la percepción del personal asistencial sobre la cultura de seguridad de los pacientes en un hospital de primer nivel de complejidad por medio de un estudio descriptivo de corte transversal. Se utilizó como herramienta de medición la encuesta ‘Hospital Survey on Patient Safety Cultura’ (HSOPSC) de la Agency of Healthcare Research and Quality (AHRQ) versión en español, la cual evalúa doce dimensiones. Los resultados mostraron fortalezas como el aprendizaje organizacional, las mejoras continuas y el apoyo de los administradores para la seguridad del paciente. Las dimensiones clasificadas como oportunidades de mejora fueron la cultura no punitiva, el personal, las transferencias y transiciones y el grado en que la comunicación es abierta. Se concluyó que aunque el personal percibía como positivo el proceso de mejoramiento y apoyo de la administración también sentía que era juzgado si reportaba algún evento adverso.
Resumo:
INTRODUCCIÓN: El Edema Macular (EM) es la principal causa de perdida de agudeza visual en pacientes con Oclusión Venosa Retiniana (OVR); luego del tratamiento, algunos pacientes persisten con mala agudeza visual. OBJETIVO: Realizar una Revisión Sistemática de la Literatura (RSL), para identificar la evidencia existente sobre factores tomográficos que predicen el resultado visual en pacientes con EM secundario a OVR. FUENTE DE LA INFORMACIÓN: PUBMED, MEDLINE, EMBASE, LILACS, COCHRANE, literatura gris. SELECCIÓN DE LOS ESTUDIOS: Ensayos Clínicos Controlados (ECC) y estudios observacionales analíticos. EXTRACCIÓN Y SÍNTESIS DE LOS DATOS: Dos investigadores seleccionaron los artículos de forma independiente. Se realizó una síntesis cualitativa de la información siguiendo las recomendaciones de la declaración PRISMA 2009. MEDIDAS Y DESENLACE PRINCIPAL: Grosor Retiniano Central (GRC), integridad de Banda Elipsoide e Integridad de Membrana Limitante Externa (MLE), determinados por SD OCT. El desenlace principal es la Agudeza Visual Mejor Corregida (AVMC) a los 6, 12,18 y/o 24 meses. RESULTADOS: Se identificaron 872 abstract y se incluyeron 8 artículos en el análisis cualitativo. Seis estudios evaluaron el GRC sin encontrar asociación con resultado visual final. Solo 2 estudios evaluaron y encontraron asociación estadísticamente significativa de la integridad de la MLE con el desenlace visual, Kang, H 2012 (r2 0,51 p 0,000), Rodriguez, F 2014 (p< 0,001). La integridad de la BE fue asociada a pronostico visual en 4 de 5 estudios que evaluaron esta variable, con resultados estadísticamente significativos. La AVMC de base también se asocio con desenlace visual en 4 de 5 estudios que la evaluaron. El mejor modelo que predice el resultado funcional según el estudio de Kang, H 2012 fue: Integridad de MLE, integridad de BE y AVMC de base (R2 0,671 p 0,000), a los 12 meses de seguimiento. CONCLUSION: La evidencia actual sugiere que la integridad de la BE y la MLE son predictores del resultados funcional en pacientes con EM secundario a OVR después de 6 o mas meses de seguimiento. Es necesario la realización de estudios controlados para llegar a resultados mas concluyentes.
Resumo:
2008