Optical and Infrared Photometry of the Unusual Type Ia Supernova 2000cx

We present optical and infrared photometry of the unusual Type Ia supernova 2000cx. With the data of Li et al. (2001) and Jha (2002), this comprises the largest dataset ever assembled for a Type Ia SN, more than 600 points in UBVRIJHK. We confirm the finding of Li et al. regarding the unusually blue B-V colors as SN 2000cx entered the nebular phase. Its I-band secondary hump was extremely weak given its B-band decline rate. The V minus near infrared colors likewise do not match loci based on other slowly declining Type Ia SNe, though V-K is the least ``abnormal''. In several ways SN 2000cx resembles other slow decliners, given its B-band decline rate (Delta m_15(B) = 0.93), the appearance of Fe III lines and weakness of Si II in its pre-maximum spectrum, the V-K colors and post-maximum V-H colors. If the distance modulus derived from Surface Brightness Fluctuations of the host galaxy is correct, we find that the rate of light increase prior to maximum, the characteristics of the bolometric light curve, and the implied absolute magnitude at maximum are all consistent with a sub-luminous object with Delta m_15(B) ~ 1.6-1.7 having a higher than normal kinetic energy.Comment: 46 pages, 17 figures, to be published in Publications of the Astronomical Society of the Pacifi

Microrreservas marinas artificiales en la línea de costa. Hacia un nuevo modelo de gestión de la biodiversidad en áreas litorales

Recientemente se ha propuesto a la comunidad científica la nueva figura de protección MRMA (Microrreserva Marina Artificial; AMMR en inglés) la cual también ha sido formalmente solicitada a la UNESCO para que esta institución considere reconocerla y consecuentemente, validarla. Se expone la contribución de las MRMAs a la preservación de especies protegidas, particularmente a las consideradas en peligro de extinción que propendan, de forma natural, a establecerse en escolleras y diques de abrigo de instalaciones costeras. Se mencionan las especies protegidas localizadas en las MRMAs, así como sus figuras de protección y disposiciones oficiales que les conciernen. Se exponen criterios generales de designación de MRMAs, posibles vías de solución ante problemas previsibles que puedan surgir (entendimiento entre administraciones, calidad de aguas, medidas de contingencia ante vertidos accidentales, etc.) y se deja entrever las potencialidades de las MRMAs como activo ecológico, medioambiental, urbanístico y educativo, así como el futuro papel que desempeñarán las MRMAs en la gestión del medio litoral y en el campo de la biología de la conservación. Finalmente, se establece una revisión de la legislación actual que más pudiera concernirles, destacándose los aspectos más importantes que en ellas pudieran influir. Al respecto, se destaca que ley 41/2010 de Protección del Medio Marino (Artº 26) establece que podrán formar parte de la red de Áreas Marinas Protegidas “ las áreas protegidas por instrumentos internacionales, sin perjuicio de que su declaración y gestión se ajustará a lo dispuesto en su correspondiente normativa internacional ” por lo que, si la nueva figura de protección “Microrreserva Marina Artificial” consiguiera marchamo UNESCO, aquélla podría incorporarse a la legislación española sin ninguna dificultad especial

El Perfil sísmico ALCUDIA: una imagen de la Zona Centroibérica (Varisco Ibérico meridional, España)

The 250 km long, vertical incidence seismic reflection profile ALCUDIA was acquired in spring 2007. It samples the Variscan Central Iberian Zone from Toledo to Fuenteovejuna. Its main goal was to continue the structure obtained for the crust and mantle from the IBERSEIS transect towards the N and NE. The acquisition parameters, similar to those used in the IBERSEIS profile have proven to be adequate to show a detailed image of the whole crust and upper mantle. After preliminary processing, the upper crust shows a moderate reflectivity that can be easily correlated with identifiable surface geologic features. The middle and lower part of the crust seems to be very reflective, laminated and afected by deformation, although to a different extent. The Moho is placed at approximately 10 s TWT and appears to be flat in the time section. The section can be divided into four domains of reflectivity that can be key to stablish different domains of crustal evolution. This new transect, together with the previous IBERSEIS profile, complete an almost 600 km long lithospheric section that crosses the southern half of the Iberian Variscides.El perfil sísmico de reflexión ALCUDIA , de 250 km de longitud, fue adquirido en la primavera del año 2007. Este perfil ha muestreado la Zona Centroibérica entre Toledo y Fuenteovejuna, y su objetivo principal ha sido continuar hacia el NE la estructura de corteza y manto ya obtenida mediante el perfil IBERSEIS. Los parámetros de adquisición, similares a los de IBERSEIS, han sido adecuados para mostrar una imagen detallada de toda la corteza y el manto superior. Una vez efectuado el procesado preliminar, la corteza superior presenta una reflectividad moderada que puede correlacionarse fácilmente con rasgos geológicos de superficie. Las partes media e inferior de la corteza son muy reflectivas, laminadas y afectadas por una deformación que varía a lo largo del perfil. La Moho se localiza a unos 10 s TWT y tiene geometría plana en la sección de tiempo. La variación en los patrones generales de reflectividad permite dividir el pefil sísmico en cuatro dominios, que corresponden a diferentes evoluciones corticales. Este nuevo perfil sísmico, unido al anterior perfil IBERSEIS, constituye una sección litosférica de casi 600 km de longitud, que atraviesa la parte meridional del Varisco Ibérico.Depto. de Geodinámica, Estratigrafía y PaleontologíaFac. de Ciencias GeológicasTRUEMinisterio de Ciencia e Innovación (MICINN)Generalitat de CatalunyaJunta de Comunidades de Castilla La Mancha.pu

La estructura sísmica de la corteza de la Zona de Ossa Morena y su interpretación geológica

El experimento de sísmica de reflexión profunda IBERSEIS ha proporcionado una imagen de la corteza del Orógeno Varisco en el sudoeste de Iberia. Este artículo se centra en la descripción de la corteza de la Zona de Ossa Morena (OMZ), que está claramente dividida en una corteza superior, con reflectividad de buzamiento al NE, y una corteza inferior de pobre reflectividad. Las estructuras geológicas cartografiadas en superficie se correlacionan bien con la reflectividad de la corteza superior, y en la imagen sísmica se ven enraizar en la corteza media. Ésta está constituida por un cuerpo muy reflectivo, interpretado como una gran intrusión de rocas básicas. La imagen de las suturas que limitan la OMZ muestra el carácter fuertemente transpresivo de la colisión orogénica varisca registrada en el sudoeste de Iberia. La Moho actual es plana y, en consecuencia, no se observa la raíz del orógeno

Computational approaches to explainable artificial intelligence: Advances in theory, applications and trends

Deep Learning (DL), a groundbreaking branch of Machine Learning (ML), has emerged as a driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted in complex and non-linear artificial neural systems, excel at extracting high-level features from data. DL has demonstrated human-level performance in real-world tasks, including clinical diagnostics, and has unlocked solutions to previously intractable problems in virtual agent design, robotics, genomics, neuroimaging, computer vision, and industrial automation. In this paper, the most relevant advances from the last few years in Artificial Intelligence (AI) and several applications to neuroscience, neuroimaging, computer vision, and robotics are presented, reviewed and discussed. In this way, we summarize the state-of-the-art in AI methods, models and applications within a collection of works presented at the 9th International Conference on the Interplay between Natural and Artificial Computation (IWINAC). The works presented in this paper are excellent examples of new scientific discoveries made in laboratories that have successfully transitioned to real-life applications.MCIU - Nvidia(UMA18-FEDERJA-084

Computational approaches to Explainable Artificial Intelligence:Advances in theory, applications and trends

Deep Learning (DL), a groundbreaking branch of Machine Learning (ML), has emerged as a driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted in complex and non-linear artificial neural systems, excel at extracting high-level features from data. DL has demonstrated human-level performance in real-world tasks, including clinical diagnostics, and has unlocked solutions to previously intractable problems in virtual agent design, robotics, genomics, neuroimaging, computer vision, and industrial automation. In this paper, the most relevant advances from the last few years in Artificial Intelligence (AI) and several applications to neuroscience, neuroimaging, computer vision, and robotics are presented, reviewed and discussed. In this way, we summarize the state-of-the-art in AI methods, models and applications within a collection of works presented at the 9th International Conference on the Interplay between Natural and Artificial Computation (IWINAC). The works presented in this paper are excellent examples of new scientific discoveries made in laboratories that have successfully transitioned to real-life applications.</p

Computational Approaches to Explainable Artificial Intelligence:Advances in Theory, Applications and Trends

Deep Learning (DL), a groundbreaking branch of Machine Learning (ML), has emerged as a driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted in complex and non-linear artificial neural systems, excel at extracting high-level features from data. DL has demonstrated human-level performance in real-world tasks, including clinical diagnostics, and has unlocked solutions to previously intractable problems in virtual agent design, robotics, genomics, neuroimaging, computer vision, and industrial automation. In this paper, the most relevant advances from the last few years in Artificial Intelligence (AI) and several applications to neuroscience, neuroimaging, computer vision, and robotics are presented, reviewed and discussed. In this way, we summarize the state-of-the-art in AI methods, models and applications within a collection of works presented at the 9 International Conference on the Interplay between Natural and Artificial Computation (IWINAC). The works presented in this paper are excellent examples of new scientific discoveries made in laboratories that have successfully transitioned to real-life applications

Attitudes and burden in relatives of patients with schizophrenia in a middle income country

BACKGROUND: Most studies of family attitudes and burden have been conducted in developed countries. Thus it is important to test the generalizability of this research in other contexts where social conditions and extended family involvement may be different. The aim of this study was to assess the relationship between the attitudes of caregivers and the burden they experience in such a context, namely Arica, a town located in the northernmost region of Chile, close to the border with Peru and Bolivia. METHODS: We assessed attitudes towards schizophrenia (including affective, cognitive and behavioural components) and burden (including subjective distress, rejection and competence) in 41 main caregivers of patients with schizophrenia, all of whom were users of Public Mental Health Services in Arica. RESULTS: Attitude measures differed significantly according to socio-demographic variables, with parents (mainly mothers) exhibiting a more negative attitude towards the environment than the rest of the family (t = 4.04; p = 0.000).This was also the case for caregivers with a low educational level (t = 3.27; p < 0.003), for the oldest caregivers (r = 0.546; p = 0.000) and for those who had spent more time with the patient (r = 0.377; p = 0.015). Although attitudes had significant association with burden, their explanatory power was modest (R2 = .104, F = 4,55; p = .039). CONCLUSIONS: Similar to finding developed countries, the current study revealed a positive and significant relationship between the attitudes of caregivers and their burden. These findings emphasize the need to support the families of patients with schizophrenia in this social context