1,194 research outputs found

    Galaxy rotation curves: the effect of j x B force

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    Using the Galaxy as an example, we study the effect of j x B force on the rotational curves of gas and plasma in galaxies. Acceptable model for the galactic magnetic field and plausible physical parameters are used to fit the flat rotational curve for gas and plasma based on the observed baryonic (visible) matter distribution and j x B force term in the static MHD equation of motion. We also study the effects of varied strength of the magnetic field, its pitch angle and length scale on the rotational curves. We show that j x B force does not play an important role on the plasma dynamics in the intermediate range of distances 6-12 kpc from the centre, whilst the effect is sizable for larger r (r > 15 kpc), where it is the most crucial.Comment: Accepted for publication in Astrophysics & Space Science (final printed version, typos in proofs corrected

    State of Emergency Medicine in Switzerland: a national profile of emergency departments in 2006

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    BACKGROUND: Emergency departments (EDs) are an essential component of any developed health care system. There is, however, no national description of EDs in Switzerland. Our objective was to establish the number and location of EDs, patient visits and flow, medical staff and organization, and capabilities in 2006, as a benchmark before emergency medicine became a subspecialty in Switzerland. METHODS: In 2007, we started to create an inventory of all hospital-based EDs with a preliminary list from the Swiss Society of Emergency and Rescue Medicine that was improved with input from ED physicians nationwide. EDs were eligible if they offered acute care 24 h per day, 7 days per week. Our goal was to have 2006 data from at least 80% of all EDs. The survey was initiated in 2007 and the 80% threshold reached in 2012. RESULTS: In 2006, Switzerland had a total of 138 hospital-based EDs. The number of ED visits was 1.475 million visits or 20 visits per 100 inhabitants. The median number of visits was 8,806 per year; 25% of EDs admitted 5,000 patients or less, 31% 5,001-10,000 patients, 26% 10,001-20,000 patients, and 17% >20,000 patients per year. Crowding was reported by 84% of EDs with >20,000 visits/year. Residents with limited experience provided care for 77% of visits. Imaging was not immediately available for all patients: standard X-ray within 15 min (70%), non-contrast head CT scan within 15 min (38%), and focused sonography for trauma (70%); 67% of EDs had an intensive care unit within the hospital, and 87% had an operating room always available. CONCLUSIONS: Swiss EDs were significant providers of health care in 2006. Crowding, physicians with limited experience, and the heterogeneity of emergency care capabilities were likely threats to the ubiquitous and consistent delivery of quality emergency care, particularly for time-sensitive conditions. Our survey establishes a benchmark to better understand future improvements in Swiss emergency care

    Preferred growth direction by PbS nanoplatelets preserves perovskite infrared light harvesting for stable, reproducible, and efficient solar cells

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    Formamidinium-based perovskite solar cells (PSCs) present the maximum theoretical efficiency of the lead perovskite family. However, formamidinium perovskite exhibits significant degradation in air. The surface chemistry of PbS has been used to improve the formamidinium black phase stability. Here, the use of PbS nanoplatelets with (100) preferential crystal orientation is reported, to potentiate the repercussion on the crystal growth of perovskite grains and to improve the stability of the material and consequently of the solar cells. As a result, a vertical growth of perovskite grains, a stable current density of 23 mA cm(-2), and a stable incident photon to current efficiency in the infrared region of the spectrum for 4 months is obtained, one of the best stability achievements for planar PSCs. Moreover, a better reproducibility than the control device, by optimizing the PbS concentration in the perovskite matrix, is achieved. These outcomes validate the synergistic use of PbS nanoplatelets to improve formamidinium long-term stability and performance reproducibility, and pave the way for using metastable perovskite active phases preserving their light harvesting capability

    Low-Temperature Specific Heat of an Extreme-Type-II Superconductor at High Magnetic Fields

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    We present a detailed study of the quasiparticle contribution to the low-temperature specific heat of an extreme type-II superconductor at high magnetic fields. Within a T-matrix approximation for the self-energies in the mixed state of a homogeneous superconductor, the electronic specific heat is a linear function of temperature with a linear-TT coefficient γs(H)\gamma_s(H) being a nonlinear function of magnetic field HH. In the range of magnetic fields H\agt (0.15-0.2)H_{c2} where our theory is applicable, the calculated γs(H)\gamma_s(H) closely resembles the experimental data for the borocarbide superconductor YNi2_2B2_2C.Comment: 7 pages, 2 figures, to appear in Physical Review

    X-boson cumulant approach to the periodic Anderson model

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    The Periodic Anderson Model (PAM) can be studied in the infinite U limit by employing the Hubbard X operators to project out the unwanted states. We have already studied this problem employing the cumulant expansion with the hybridization as perturbation, but the probability conservation of the local states (completeness) is not usually satisfied when partial expansions like the Chain Approximation (CHA) are employed. Here we treat the problem by a technique inspired in the mean field approximation of Coleman's slave-bosons method, and we obtain a description that avoids the unwanted phase transition that appears in the mean-field slave-boson method both when the chemical potential is greater than the localized level Ef at low temperatures (T) and for all parameters at intermediate T.Comment: Submited to Physical Review B 14 pages, 17 eps figures inserted in the tex

    Análisis de impacto del Plan Nacional Integrado de Energía y Clima PNIEC 2021-2030 de España

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    Este artículo recoge un análisis del impacto del borrador del Plan Nacional Integrado de Energía y Clima (PNIEC) 2021-2030 de España, cuyo objetivo central es reducir las emisiones de gases de efecto invernadero (GEI) un 23 por 100 con respecto a 1990. El estudio utiliza varios modelos (DENIO y FASTT-TM5) para abordar los impactos de una forma integrada y multidisciplinar. Los resultados obtenidos muestran que el PNIEC movilizaría 241.000 millones de euros, de los cuales un 80 por 100 provendría de financiación privada. Las medidas del PNIEC reducirían en 67.000 millones de euros la importación de combustibles fósiles, que serían sustituidos por energías renovables autóctonas, y generarían un aumento del PIB del 1,8 por 100 en 2030 y del empleo neto entre 253.000 y 348.000 empleos/año. La reducción de GEI, lleva asociada una importante reducción de emisiones de contaminantes atmosféricos que causan daño a la salud (SO2, NOX, PM2.5, entre otras), lo que supondría una reducción del 27 por 100 de las muertes prematuras. Una conclusión robusta de este trabajo, similar a la de otros estudios recientes (OCDE, 2017; Comisión Europea, 2018; FUNSEAM, 2018 o IRENA, 2019), es que las soluciones para la crisis climática además de urgentes y necesarias, son una oportunidad, si son bien aprovechadas por aquellos países importadores netos de combustibles fósiles y que además disponen de recursos renovables.Los autores/as agradecen al equipo de la Subdirección General de Energías Renovables y Estudios del MITECO, a cargo de la mode-lización energética: Patricia Bañón, Miriam Bueno, Alejandro Fernández, Javier Galar-za, Víctor Marcos y Manuel Pérez. También a Pedro Linares (Universidad P. Comillas), Antxon Olabe (MITECO), Sara Aagesen (MITECO), Hugo Lucas (IDAE) y Eduardo González (OECC) por los comentarios recibi-dos, así como a IDAE y la Oficina Española de Cambio Climático y la Unidad de Inventarios por la información proporcionada. Cualquier error es responsabilidad de los autores. Fi-nalmente, agradecen la cofinanciación del Gobierno Vasco a través del programa BERC 2018-2021 y del Gobierno de España a tra-vés de la acreditación de BC3 como centro María de Maeztu (MDM-2017-0714) y MI-NECO (RTI2018-093352-B-I00)

    FGF receptor genes and breast cancer susceptibility: results from the Breast Cancer Association Consortium

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    Background:Breast cancer is one of the most common malignancies in women. Genome-wide association studies have identified FGFR2 as a breast cancer susceptibility gene. Common variation in other fibroblast growth factor (FGF) receptors might also modify risk. We tested this hypothesis by studying genotyped single-nucleotide polymorphisms (SNPs) and imputed SNPs in FGFR1, FGFR3, FGFR4 and FGFRL1 in the Breast Cancer Association Consortium. Methods:Data were combined from 49 studies, including 53 835 cases and 50 156 controls, of which 89 050 (46 450 cases and 42 600 controls) were of European ancestry, 12 893 (6269 cases and 6624 controls) of Asian and 2048 (1116 cases and 932 controls) of African ancestry. Associations with risk of breast cancer, overall and by disease sub-type, were assessed using unconditional logistic regression. Results:Little evidence of association with breast cancer risk was observed for SNPs in the FGF receptor genes. The strongest evidence in European women was for rs743682 in FGFR3; the estimated per-allele odds ratio was 1.05 (95 confidence interval=1.02-1.09, P=0.0020), which is substantially lower than that observed for SNPs in FGFR2. Conclusion:Our results suggest that common variants in the other FGF receptors are not associated with risk of breast cancer to the degree observed for FGFR2. © 2014 Cancer Research UK

    Local linear regression with adaptive orthogonal fitting for the wind power application

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    Short-term forecasting of wind generation requires a model of the function for the conversion of me-teorological variables (mainly wind speed) to power production. Such a power curve is nonlinear and bounded, in addition to being nonstationary. Local linear regression is an appealing nonparametric ap-proach for power curve estimation, for which the model coefficients can be tracked with recursive Least Squares (LS) methods. This may lead to an inaccurate estimate of the true power curve, owing to the assumption that a noise component is present on the response variable axis only. Therefore, this assump-tion is relaxed here, by describing a local linear regression with orthogonal fit. Local linear coefficients are defined as those which minimize a weighted Total Least Squares (TLS) criterion. An adaptive es-timation method is introduced in order to accommodate nonstationarity. This has the additional benefit of lowering the computational costs of updating local coefficients every time new observations become available. The estimation method is based on tracking the left-most eigenvector of the augmented covari-ance matrix. A robustification of the estimation method is also proposed. Simulations on semi-artificial datasets (for which the true power curve is available) underline the properties of the proposed regression and related estimation methods. An important result is the significantly higher ability of local polynomia
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