Estudio constructivo, propuesta de rehabilitación y cambio de uso de la antigua leprosería de Barcelona Can Masdeu

Can Masdeu, antigua leprosería de Barcelona. Desde su origen hasta la actualidad, ha sufrido una serie de cambios provocados por las necesidades funcionales en cada momento. La información más antigua obtenida de esta masía consta del 1901, cuando fue abjudicada por subasta al Hospital de la Santa Cruz hasta el 1977 que finalmente cerró durante más de 25 años, mostrando en la actualidad un avanzado estado de degradación constructiva con el agotamiento de sus elementos estructurales y constructivos. En el 2001 fue ocupada y rehabilitada como vivienda y centro social. El proyecto se centra en la masía de Can Masdeu, conocida como la antigua leproseria del Hospital de Sant Pau, ubicada en uno de los valles no urbanizados del Parque de Collserola, en Barcelona. Por estos motivos el edificio presenta cierta dificultad a la hora de estudiarlo, las ampliaciones y pequeñas intervenciones que se han ido realizando a lo largo de todos estos años nos han creado muchos conflictos para establecer la tipología constructiva correspondiente a cada época. Los objetivos de nuestro proyecto serán: - Un estudio histórico de la evolución de Can Masdeu. - Un levantamiento gráfico. - Un estudio de los elementos constructivos. - Un análisis de las lesiones existentes con sus propuestas de actuación. - Una propuesta de intervención del edificio

Robust integrated production-maintenance scheduling for an evaporation network

Producción CientíficaThis work aims to reduce the global resource consumption in an industrial evaporation network by better tasks management and coordination. The network works in continuous, processing some products in several evaporation plants, so optimal load allocation and product-plant assignment problems appear. The plants have different features (capacity, equipment, etc.) and their performance is affected by fouling inside the heat exchangers and external factors. Hereby, the optimizer has to decide when maintenance operations have to be triggered. Therefore, a mixed production/maintenance scheduling problem arises. The plant behavior is approximated by surrogate linear models obtained experimentally, allowing thus the use of mixed-integer linear optimization routines to obtain solutions in acceptable time. Furthermore, uncertainty in the weather forecast and in the production plan is also considered via a two-stage stochastic programming approach. Finally, a trade-off analysis between other objectives of interest is given to support the decision maker.Spanish Government with project INOPTCON (MINECO/FEDER DPI2015-70975-P)

Estimación de ecuaciones de transferencia hidrológica para el cálculo de caudales en la Cuenca Baja del Río Magdalena.

El principal objetivo de este trabajo es determinar para la cuenca baja del rio Magdalena las ecuaciones necesarias y apropiadas para determinar los caudales en las cuencas no instrumentadas a partir de la información de cuencas instrumentadas por medio del método de transferencia de caudales. Inicialmente, se debe contar con estaciones que tengan la información suficiente (en adelante estaciones medidas) como caudal y área de drenaje. Esta información se obtendrá a través del Instituto de Hidrología, Meteorología y Estudios Ambientales de Colombia (IDEAM), además de la literatura existente e investigaciones realizadas sobre el tema. Así mismo, se debe garantizar que las estaciones seleccionadas se encuentren en subregiones hidrológicamente homogéneas y tengan características similares en cuanto al ambiente hidrológico, como: topografía, tipo de vegetación, tipo de suelo, geología además de considerar la relación entre el área de drenaje y el caudal, para obtener la menor variabilidad posible en los datos obtenidos. Conociendo y garantizando lo anterior, se trabajaran con el método estadístico de regresión con el fin de obtener las ecuaciones de transferencia de caudales, cuyos resultados se homologaran con una validación cruzada. Si como resultado de esta comparación, la diferencia entre los datos hallados y teóricos es mínima, se consideran correctas las ecuaciones encontradas y se selecciona la ecuación más acertada. A partir de las ecuaciones planteadas y tomando como referencia los procedimientos descritos por la Revista de la asociación Americana de los recursos hídricos, quien lo necesite, podrá sin inconveniente alguno calcular los caudales para las estaciones no medidas de la cuenca baja del rio Magdalena.The princial objective of this work is estimate magdalena´s river lower watershed the necessary and appropiate equations to calculate flows in the non-measured station from measured hydrologic stations information by the transfer flows method. Initially, the measured station must have sufficient information as flow and drainage area. This information will be get through the Instituto de Hidrologia, Meteorologia y Estudios ambientales de Colombia (IDEAM), besides of existing literature and investigations on the subject. Also, in this work is necessary to guarantee that the selected stations are into homogeneous subregions hydrologically and they have similar characteristics in terms of the hydrological environment, such as topography, vegetation type, soil type, geology, besides it consider the relationship between drainage area and flow to get lowest possible variability in the data. Knowing and ensuring previously, in this work will be used the statistical regression method to obtain the flow transfer equations, which results will be proved with cross-validation. If as result of this comparison, the difference between the theoretical and observed data is minimal, the found equations will consider correct and will be select the most suitable equation. From the equations raised and with reference to the procedures described in the Journal of the American Water Resources Association, who need it, you can without any problem to calculate unmeasured flow in the lower basin of the Magdalena River stations

XXXVIII Jornadas de Automática

Producción CientíficaThis work presents a decision-support tool to address the model-based optimization approach for online load allocation and scheduling of cleaning operations in an evaporation network. The aim is improving the resource efficiency by supplying the optimal solution for a given production goal. The approach includes the semi-automatic update of evaporator models, which is based on historical data for minimal modelling effort. The structure of the problem is formulated via mixed-integer programming and integrated into the plant supervision systems. Production constraints, concerns about the practical implementation and visualization preferences are also taken into account in the design of the prototypical tool.MINECO/FEDER Grant DPI2015-70975 (INOPTCON)EU H2020-SPIRE Grant Agreement nº 723575 (CoPro

The Hubble constant from two sibling Type Ia supernovae in the nearby galaxy NGC 4414: SN 1974G and SN 2021J

Having two "sibling" Type Ia supernovae (SNe Ia) in the same galaxy offers additional advantages in reducing a variety of systematic errors involved in estimating the Hubble constant, $H_{0}$. NGC 4414 is a nearby galaxy included in the Hubble Space Telescope Key Project to measure its distance using Cepheid variables. It hosts two sibling SNe Ia: SN 2021J and SN 1974G. This provides the opportunity to improve the precision of the previous estimate of $H_{0}$, which was based solely on SN 1974G. Here we present new optical $BVRI$ photometry obtained at the Observatorio de Sierra Nevada and complement it with Swift UVOT $UBV$ data, which cover the first 70 days of emission of SN 2021J. A first look at SN 2021J optical spectra obtained with the Gran Telescopio Canarias (GTC) reveals typical SN type Ia features. The main SN luminosity parameters for the two sibling SNe are obtained by using SNooPy, a light curve fitting code based on templates. Using a hierarchical bayesian approach, we build the Hubble diagram with a sample of 96 SNe Ia obtained from the Combined Pantheon Sample in the redshift range $z = 0.02-0.075$, and calibrate the zero point with the two sibling type-Ia SNe in NGC 4414. We report a value of the Hubble constant $H_{0}$ $= 72.19 \pm 2.32$ (stat.) $\pm 3.42$ (syst.) km s$^{-1}$Mpc$^{-1}$. We expect a reduction of the systematic error after a new analysis of the Cepheids period-luminosity relation using the upcoming Gaia DR4 and additional Cepheids from the HST and JWST

Aula blanca. Espacio abierto para la docencia interdisiciplinar en pintura

Memoria ID-0087. Ayudas de la Universidad de Salamanca para la innovación docente, curso 2014-2015

Tumours in the pineal region in the paediatric age: Reports of 23 cases and a review of the literature

Introducción. Los tumores de la región pineal se localizan en una encrucijada de estructuras neurovasculares de difícil acceso quirúrgico y limitadas posibilidades de resección; por ello, el manejo de estas lesiones habitualmente requiere la asociación de tratamiento adyuvante radioterápico y/o quimioterápico. Pacientes y métodos. Análisis retrospectivo de las características epidemiológicas, clínicas, neurorradiológicas y anatomopatológicas de 23 pacientes con tumores de la región pineal tratados entre los años 1997 y 2010 en el Hospital Infantil Niño Jesús. Se discuten los factores implicados en el pronóstico de esta cohorte tras el tratamiento quirúrgico o adyuvante. Resultados. El estudio incluyó 6 niñas y 17 niños con edades comprendidas entre los 4 meses y 18 años. El 95% de los pacientes comenzó con signos de hidrocefalia aguda o subaguda, que precisaron la implantación de una derivación ventriculoperitoneal (82%). Se obtuvo una muestra histológica tumoral en todos los casos. Cinco pacientes fueron biopsiados y 18 fueron intervenidos mediante craneotomía. El germinoma (ocho casos) y el teratoma maduro (un caso) fueron los tumores con mayor supervivencia; los tumores no germinomatosos (tres casos), del parénquima pineal (cuatro casos) y gliomas (cinco casos) presentaron mayor tasa de recidiva y un peor pronóstico. Conclusión. El estudio de marcadores tumorales permite orientar el diagnóstico de determinados tumores de la región pineal. Actualmente, se recomienda realizar una toma histológica tumoral para establecer un diagnóstico preciso y un tratamiento oncológico específicoIntroduction. Tumours in the pineal region are located at a meeting point of several neurovascular structures that are difficult to reach surgically and for which the possibility of resection is limited; as a result the management of these lesions usually requires associated adjunctive treatment with radiotherapy and/or chemotherapy. Patients and methods. This study is a retrospective analysis of the epidemiological, clinical, neuroimaging and pathological characteristics of 23 patients with tumours in the pineal region who were treated between the years 1997 and 2010 in the Hospital Infantil Niño Jesús. The factors involved in the prognosis of this cohort following surgical or adjunctive treatment are also discussed. Results. Subjects included in the study were 6 girls and 17 boys with ages ranging from 4 months to 18 years. It was found that the initial symptoms in 95% of the patients were signs of acute or subacute hydrocephalus, which required the placement of a ventriculoperitoneal shunt (82%). A histological sample of the tumour tissue was collected in all cases. Biopsy samples were taken in the case of five patients and 18 underwent surgery involving a craniotomy. Germinoma (eight cases) and mature teratoma (one case) were the tumours with the longest survival times; non-germinomatous tumours (three cases), those of the pineal parenchyma (four cases) and gliomas (five cases) presented the highest rates of recurrence and a poorer prognosis. Conclusions. The study of tumour markers can be used to guide the diagnosis of certain tumours of the pineal region. At present, the recommended procedure involves taking a histological sample of the tumour in order to establish an accurate diagnosis and a specific oncological treatmen

De novo drug design through artificial intelligence: an introduction

Developing new drugs is a complex and formidable challenge, intensified by rapidly evolving global health needs. De novo drug design is a promising strategy to accelerate and refine this process. The recent introduction of Generative Artificial Intelligence (AI) algorithms has brought new attention to the field and catalyzed a paradigm shift, allowing rapid and semi-automatic design and optimization of drug-like molecules. This review explores the impact of de novo drug design, highlighting both traditional methodologies and the recently introduced generative algorithms, as well as the promising development of Active Learning (AL). It places special emphasis on their application in oncological drug development, where the need for novel therapeutic agents is urgent. The potential integration of these AI technologies with established computational and experimental methods heralds a new era in the rapid development of innovative drugs. Despite the promising developments and notable successes, these technologies are not without limitations, which require careful consideration and further advancement. This review, intended for professionals across related disciplines, provides a comprehensive introduction to AI-driven de novo drug design of small organic molecules. It aims to offer a clear understanding of the current state and future prospects of these innovative techniques in drug discovery

Brain fog of post-COVID-19 condition and Chronic Fatigue Syndrome, same medical disorder?

Background: Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is characterized by persistent physical and mental fatigue. The post-COVID-19 condition patients refer physical fatigue and cognitive impairment sequelae. Given the similarity between both conditions, could it be the same pathology with a different precipitating factor? Objective: To describe the cognitive impairment, neuropsychiatric symptoms, and general symptomatology in both groups, to find out if it is the same pathology. As well as verify if the affectation of smell is related to cognitive deterioration in patients with post-COVID-19 condition. Methods: The sample included 42 ME/CFS and 73 post-COVID-19 condition patients. Fatigue, sleep quality, anxiety and depressive symptoms, the frequency and severity of different symptoms, olfactory function and a wide range of cognitive domains were evaluated. Results: Both syndromes are characterized by excessive physical fatigue, sleep problems and myalgia. Sustained attention and processing speed were impaired in 83.3% and 52.4% of ME/CFS patients while in post-COVID-19 condition were impaired in 56.2% and 41.4% of patients, respectively. Statistically significant differences were found in sustained attention and visuospatial ability, being the ME/CFS group who presented the worst performance. Physical problems and mood issues were the main variables correlating with cognitive performance in post-COVID-19 patients, while in ME/CFS it was anxiety symptoms and physical fatigue. Conclusions: The symptomatology and cognitive patterns were similar in both groups, with greater impairment in ME/CFS. This disease is characterized by greater physical and neuropsychiatric problems compared to post-COVID-19 condition. Likewise, we also propose the relevance of prolonged hyposmia as a possible marker of cognitive deterioration in patients with post-COVID-19.This study has been funded by Instituto de Salud Carlos III (ISCIII) through the project PI20/01076 and co-funded by the European Union, EITB maratoia (BIOS21/COV/006) and grants for health research projects from the Basque Government (2021111006). Azcue, N. received a pre-doctoral research grant from the basque government (PRE_2021_1_0186)