Evolving Gaussian process kernels from elementary mathematical expressions for time series extrapolation

[EN]Choosing the best kernel is crucial in many Machine Learning applications. Gaussian Processes are a state-of-the-art technique for regression and classification that heavily relies on a kernel function. However, in the Gaussian Processes literature, kernels have usually been either ad hoc designed, selected from a predefined set, or searched for in a space of compositions of kernels which have been defined a priori. In this paper, we propose a Genetic Programming algorithm that represents a kernel function as a tree of elementary mathematical expressions. By means of this representation, a wider set of kernels can be modeled, where potentially better solutions can be found, although new challenges also arise. The proposed algorithm is able to overcome these difficulties and find kernels that accurately model the characteristics of the data. This method has been tested in several real-world time series extrapolation problems, improving the state-of-the-art results while reducing the complexity of the kernels.This work has been supported by the Spanish Ministry of Science and Innovation (project PID2019-104966 GB-I00) , and the Basque Government (projects KK-2020/00049 and IT1244-19, and ELKARTEK program) . Jose A. Lozano is also supported by BERC 2018-2021 (Basque government) and BCAM Severo Ochoa accred-itation SEV-2017-0718 (Spanish Ministry of Science and Innovation)

On the leakage-power modeling for optimal server operation

Leakage power consumption is a com- ponent of the total power consumption in data cen- ters that is not traditionally considered in the set- point temperature of the room. However, the effect of this power component, increased with temperature, can determine the savings associated with the careful management of the cooling system, as well as the re- liability of the system. The work presented in this paper detects the need of addressing leakage power in order to achieve substantial savings in the energy consumption of servers. In particular, our work shows that, by a careful detection and management of two working regions (low and high impact of thermal- dependent leakage), energy consumption of the data- center can be optimized by a reduction of the cooling budget

Feeding Habits of Fish Species Distributed on the Grand Bank (NAFO Divisions 3NO, 2002-2005)

24197 stomach contents corresponding to 17 fish species of the Grand Bank in the period 2002-2005 were analyzed. Importance of prey was based in weight percentage. Feeding intensity was high for most species (>75%). Greenland halibut and northern wolffish were the species with the lowest feeding intensity (70% of the total weight. Greenland halibut, Arctic and spynitail skates were piscivorous species. Roundnose grenadier, redfish and smooth skate showed pelagic, bathypelagic or epifaunal crustacean feeding habits, and northern wolffish was pelagic invertebrate organism feeder on ctenophores. Roughhead grenadier and yellowtail flounder were benthic predators on different prey species, scyphozoans and crustaceans respectively, and polychaetes were common in the diet of both species. Witch flounder and round skate were polychaete feeders on bottom benthos. Atlantic and spotted wolffish showed a diet primarily based on benthic and bottom organisms with predominance of different prey in each species. Black dogfish preyed on benthic groups (crustaceans, scyphozoans and fishes), like American plaice (echinoderms, fishes and crustaceans). Thorny skate and Atlantic cod showed similar diets based on fishes and crustaceans. Specific predation and diet overlap observed among some species changed with depth

Runtime data center temperature prediction using Grammatical Evolution techniques

Depto. de Arquitectura de Computadores y AutomáticaFac. de InformáticaTRUEMinisterio de Economía y Competitividad (MINECO)pu

Análisis de los métodos de depreciación en base la Sección 17 “Propiedades, planta y equipo” aplicado al Hospital HBN en el periodo comprendido 2019

El presente trabajo se desarrolla en base a las normas internacionales de información financiera para pequeñas y medianas empresas, con respecto a la aplicación de la sección 17 “Propiedades, Planta y Equipo” en el tratamiento de la información contable de la depreciación del Hospital HBN correspondiente al período 2019. Nuestra investigación está basada en la institución Hospital HBN y sus operaciones contables durante el período 2019 quienes han puesto en práctica las NIIF, enfocándonos principalmente en el tratamiento adecuado de la depreciación de Propiedades, Planta y Equipo – Sección 17 de las normas internacionales de información financiera, en el cual se deberá analizar la correcta aplicación de esta norma, para mejorar el buen funcionamiento y administración de los recursos de la institución, basándonos principalmente en el marco regulatorio de esta norma en conjunto con los conocimientos adquiridos mediante las capacitaciones continuas en el tema abordado, analizando la importancia de la ejecución de esta en sus operaciones como necesidad de adherir normas contables efectivas para el Hospital HBN. La correcta aplicación de las normativas y regulaciones de la Propiedades, Planta y Equipo da respuesta a los riesgos, toma de decisiones y sirve de parámetro de mejora continua, con el fin de conocer la información acerca de la inversión y tratamiento de estos activos , así como los cambios que se han producido durante el transcurso del tiempo desde el momento de su adquisición hasta el cumplimiento de su vida útil, de igual manera la forma de reportar la información contable de esta sección como: medición, reconocimiento, costos, elementos, depreciación, deterioro del valor y la información a revelar, lo cual permite hacer efectivo la presentación de estados financieros. Palabra clave: NIIF-Depreciación

Signatures of selection for bonamiosis resistance in European flat oyster (Ostrea edulis): New genomic tools for breeding programs and management of natural resources

The European flat oyster (Ostrea edulis) is a highly appreciated mollusk with an important aquaculture production throughout the 20th century, in addition to playing an important role on coastal ecosystems. Overexploitation of natural beds, habitat degradation, introduction of non‐native species, and epidemic outbreaks have severely affected this important resource, particularly, the protozoan parasite Bonamia ostreae, which is the main concern affecting its production and conservation. In order to identify genomic regions and markers potentially associated with bonamiosis resistance, six oyster beds distributed throughout the European Atlantic coast were sampled. Three of them have been exposed to this parasite since the early 1980s and showed some degree of innate resistance (long‐term affected group, LTA), while the other three were free of B. ostreae at least until sampling date (naïve group, NV). A total of 14,065 SNPs were analyzed, including 37 markers from candidate genes and 14,028 from a medium‐density SNP array. Gene diversity was similar between LTA and NV groups suggesting no genetic erosion due to long‐term exposure to the parasite, and three population clusters were detected using the whole dataset. Tests for divergent selection between NV and LTA groups detected the presence of a very consistent set of 22 markers, located within a putative single genomic region, which suggests the presence of a major quantitative trait locus associated with B. ostreae resistance. Moreover, 324 outlier loci associated with factors other than bonamiosis were identified allowing fully discrimination of all the oyster beds. A practical tool which included the 84 highest discriminative markers for tracing O. edulis populations was developed and tested with empirical data. Results reported herein could assist the production of stocks with improved resistance to bonamiosis and facilitate the management of oyster beds for recovery production and ecosystem services provided by this species.This work was funded by the OYSTERECOVER project (FP7‐SME‐2008‐2‐243583) from the European Community's Seventh Framework Programme, the European Regional Development's funds (FEDER), and Xunta de Galicia local government (GRC2014/010, R2014/046). The development and provision of the medium‐density SNP array for oysters was supported by Biotechnology and Biological Sciences Research Council (BBSRC), and National Environment Research Council (NERC) grants (BB/M026140/1, NE/P010695/1), in addition to BBSRC Institute Strategic Program Grants (BBS/E/D/20002172 and BBS/E/D/30002275)S

La gestión del patrimonio bibliográfico: actualización de las prácticas de la asignatura de Fondo Antiguo del Grado en Información y Documentación

Memoria ID-156. Ayudas de la Universidad de Salamanca para la innovación docente, curso 2018-2019

Post-mortem findings in Spanish patients with COVID-19; a special focus on superinfections

IntroductionWhole-body autopsies may be crucial to understand coronavirus disease 2019 (COVID-19) pathophysiology. We aimed to analyze pathological findings in a large series of full-body autopsies, with a special focus on superinfections. MethodsThis was a prospective multicenter study that included 70 COVID-19 autopsies performed between April 2020 and February 2021. Epidemiological, clinical and pathological information was collected using a standardized case report form. ResultsMedian (IQR) age was 70 (range 63.75-74.25) years and 76% of cases were males. Most patients (90%,) had at least one comorbidity prior to COVID-19 diagnosis, with vascular risk factors being the most frequent. Infectious complications were developed by 65.71% of the patients during their follow-up. Mechanical ventilation was required in most patients (75.71%) and was mainly invasive. In multivariate analyses, length of hospital stay and invasive mechanical ventilation were significantly associated with infections (p = 0.036 and p = 0.013, respectively). Necropsy findings revealed diffuse alveolar damage in the lungs, left ventricular hypertrophy in the heart, liver steatosis and pre-infection arteriosclerosis in the heart and kidneys. ConclusionOur study confirms the main necropsy histopathological findings attributed to COVID-19 in a large patient series, while underlining the importance of both comorbid conditions and superinfections in the pathology

Role of age and comorbidities in mortality of patients with infective endocarditis

[Purpose]: The aim of this study was to analyse the characteristics of patients with IE in three groups of age and to assess the ability of age and the Charlson Comorbidity Index (CCI) to predict mortality. [Methods]: Prospective cohort study of all patients with IE included in the GAMES Spanish database between 2008 and 2015.Patients were stratified into three age groups:<65 years,65 to 80 years,and ≥ 80 years.The area under the receiver-operating characteristic (AUROC) curve was calculated to quantify the diagnostic accuracy of the CCI to predict mortality risk. [Results]: A total of 3120 patients with IE (1327 < 65 years;1291 65-80 years;502 ≥ 80 years) were enrolled.Fever and heart failure were the most common presentations of IE, with no differences among age groups.Patients ≥80 years who underwent surgery were significantly lower compared with other age groups (14.3%,65 years; 20.5%,65-79 years; 31.3%,≥80 years). In-hospital mortality was lower in the <65-year group (20.3%,<65 years;30.1%,65-79 years;34.7%,≥80 years;p < 0.001) as well as 1-year mortality (3.2%, <65 years; 5.5%, 65-80 years;7.6%,≥80 years; p = 0.003).Independent predictors of mortality were age ≥ 80 years (hazard ratio [HR]:2.78;95% confidence interval [CI]:2.32–3.34), CCI ≥ 3 (HR:1.62; 95% CI:1.39–1.88),and non-performed surgery (HR:1.64;95% CI:11.16–1.58).When the three age groups were compared,the AUROC curve for CCI was significantly larger for patients aged <65 years(p < 0.001) for both in-hospital and 1-year mortality. [Conclusion]: There were no differences in the clinical presentation of IE between the groups. Age ≥ 80 years, high comorbidity (measured by CCI),and non-performance of surgery were independent predictors of mortality in patients with IE.CCI could help to identify those patients with IE and surgical indication who present a lower risk of in-hospital and 1-year mortality after surgery, especially in the <65-year group

Documento de fabricación de una balastra electrónica para lámpara ahorradora de energía de 32 Watts

ICE71 BALASTRA ELECTRONIC