965 resultados para Curva de Phillips


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A detailed study is presented of the expected performance of the ATLAS detector. The reconstruction of tracks, leptons, photons, missing energy and jets is investigated, together with the performance of b-tagging and the trigger. The physics potential for a variety of interesting physics processes, within the Standard Model and beyond, is examined. The study comprises a series of notes based on simulations of the detector and physics processes, with particular emphasis given to the data expected from the first years of operation of the LHC at CERN.

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Mikael Juselius’ doctoral dissertation covers a range of significant issues in modern macroeconomics by empirically testing a number of important theoretical hypotheses. The first essay presents indirect evidence within the framework of the cointegrated VAR model on the elasticity of substitution between capital and labor by using Finnish manufacturing data. Instead of estimating the elasticity of substitution by using the first order conditions, he develops a new approach that utilizes a CES production function in a model with a 3-stage decision process: investment in the long run, wage bargaining in the medium run and price and employment decisions in the short run. He estimates the elasticity of substitution to be below one. The second essay tests the restrictions implied by the core equations of the New Keynesian Model (NKM) in a vector autoregressive model (VAR) by using both Euro area and U.S. data. Both the new Keynesian Phillips curve and the aggregate demand curve are estimated and tested. The restrictions implied by the core equations of the NKM are rejected on both U.S. and Euro area data. These results are important for further research. The third essay is methodologically similar to essay 2, but it concentrates on Finnish macro data by adopting a theoretical framework of an open economy. Juselius’ results suggests that the open economy NKM framework is too stylized to provide an adequate explanation for Finnish inflation. The final essay provides a macroeconometric model of Finnish inflation and associated explanatory variables and it estimates the relative importance of different inflation theories. His main finding is that Finnish inflation is primarily determined by excess demand in the product market and by changes in the long-term interest rate. This study is part of the research agenda carried out by the Research Unit of Economic Structure and Growth (RUESG). The aim of RUESG it to conduct theoretical and empirical research with respect to important issues in industrial economics, real option theory, game theory, organization theory, theory of financial systems as well as to study problems in labor markets, macroeconomics, natural resources, taxation and time series econometrics. RUESG was established at the beginning of 1995 and is one of the National Centers of Excellence in research selected by the Academy of Finland. It is financed jointly by the Academy of Finland, the University of Helsinki, the Yrjö Jahnsson Foundation, Bank of Finland and the Nokia Group. This support is gratefully acknowledged.

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The specific heat Cp of glassy Ge20Se80−xBix (0 ≤ × ≤ 12) samples is investigated. The Cp at 323K and the ΔCp at glass transition temperature Tg1 show anomalous features around x = 8 at.%, where p−n conduction type inversion also take place. These features are discussed in the light of Phillips model of phase separation in these glasses at the microscopic level.

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Time-resolved resonance Raman spectroscopy has been used to investigate the photochemistry of ubiquinone in cyclohexane, water and ethanol. In water the absorption of a single 248 nm photon produces triplet ubiquinone which then oxidises water, via electron transfer, to form the ubiquinone radical anion. In ethanol, however, the triplet state reacts with the solvent via both electron and hydrogen-atom transfer, the latter process forming the semihydroquinone. Only in the less reactive solvent, cyclohexane, is triplet quinone observed. The Raman bands observed for each of the species are assigned on the basis of similarities of their spectra to other quinones.

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he specific heats of EUNi(5)P(3), an antiferromagnet, and EuNi2P2, a mixed-valence compound, have been measured between 0.4 and 30 K in magnetic fields of, respectively, 0, 0.5, 1, 1.5, 2.5, 5, and 7 T, and 0 and 7 T. In zero field the specific heat of EuNi5P3 shows a h-like anomaly with a maximum at 8.3 K. With increasing field in the range 0-2.5 T, the maximum shifts to lower temperatures, as expected for an antiferromagnet. In higher fields the antiferromagnetic ordering is destroyed and the magnetic part of the specific heat approaches a Schottky anomaly that is consistent with expectations for the crystal-field/Zeeman levels. In low fields and for temperatures between 1.5 acid 5 K the magnetic contribution to the specific heat is proportional to the temperature, indicating a high density of excited states with an energy dependence that is very unusual for an antiferromagnet. The entropy associated with the magnetic ordering is similar to R In8, confirming that only the Eu2+-with J=7/2, S=7/2, L=0-orders below 30 R. In zero field approximately 20% of the entropy occurs above the Neel temperature, consistent. with the usual amount of short-range order observed in antiferromagnets. The hyperfine magnetic field at the Eu nuclei in EUNi(5)P(3) is 33.3 T, in good agreement with a value calculated from electron-nuclear double resonance measurements. For EuNi2P2 the specific heat is nearly field independent and shows no evidence of magnetic ordering or hyperfine fields. The coefficient of the electron contribution to the specific heat is similar to 100 mJ/mol K-2.

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Picosecond time-resolved resonance Raman spectra of the A (intramolecular charge transfer, ICT) state of DMABN, DMABN-d(6) and DMABN-N-15 have been obtained. The isotopic shifts identify the nu (s)(ph-N) mode as a band at 1281 cm(-1). The similar to 96 cm(-1) downshift of this mode from its ground state frequency rules out the electronic coupling PICT model and unequivocally supports the electronic decoupling TICT model. However, our results suggest some pyramidal character of the A state amino conformation.

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Spontaneous halide ejection from a three-coordinate Lewis acid has been shown to offer a remarkable new route to cationic metal complexes featuring a linear, multiply bonded boron-donor Ligand. The exploitation of electron-rich [CpM(PR3)(2)] fragments within boryl systems of the type LnMB(hal)NR2 leads to the spontaneous formation in polar solvents of chemically robust borylene complexes, [LnM(BNR2)](+), with exceptionally low electrophilicity and short M-B bonds. This is reflected by M-B distances (ca. 1.80 angstrom for FeB systems) which are more akin to alkyl-/aryl-substituted borylene complexes and, perhaps most strikingly, by the very low exothermicity associated with the binding of pyridine to the two-coordinate boron center (Delta H = -7.4 kcal mol(-1), cf. -40.7 kcal mol(-1) for BCl3). Despite the strong pi electron release from the metal fragment implied by this suppressed reactivity and by such short M-B bonds, the barrier to rotation about the Fe=B bond in the unsymmetrical variant [CpFe(dmpe)(BN{C6H4OMe-4}Me)](+) is found to be very small (ca. 2.9 kcal mol(-1)). This apparent contradiction is rationalized by the orthogonal orientations of the HOMO and HOMO-2 orbitals of the [CpML2](+) fragment, which mean that the M-B pi interaction does not fall to zero even in the highest energy conformation.

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The maximal rate of a nonsquare complex orthogonal design for transmit antennas is 1/2 + 1/n if is even and 1/2 + 1/n+1 if is odd and the codes have been constructed for all by Liang (2003) and Lu et al. (2005) to achieve this rate. A lower bound on the decoding delay of maximal-rate complex orthogonal designs has been obtained by Adams et al. (2007) and it is observed that Liang's construction achieves the bound on delay for equal to 1 and 3 modulo 4 while Lu et al.'s construction achieves the bound for n = 0, 1, 3 mod 4. For n = 2 mod 4, Adams et al. (2010) have shown that the minimal decoding delay is twice the lower bound, in which case, both Liang's and Lu et al.'s construction achieve the minimum decoding delay. For large value of, it is observed that the rate is close to half and the decoding delay is very large. A class of rate-1/2 codes with low decoding delay for all has been constructed by Tarokh et al. (1999). In this paper, another class of rate-1/2 codes is constructed for all in which case the decoding delay is half the decoding delay of the rate-1/2 codes given by Tarokh et al. This is achieved by giving first a general construction of square real orthogonal designs which includes as special cases the well-known constructions of Adams, Lax, and Phillips and the construction of Geramita and Pullman, and then making use of it to obtain the desired rate-1/2 codes. For the case of nine transmit antennas, the proposed rate-1/2 code is shown to be of minimal delay. The proposed construction results in designs with zero entries which may have high peak-to-average power ratio and it is shown that by appropriate postmultiplication, a design with no zero entry can be obtained with no change in the code parameters.

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Advances in forest carbon mapping have the potential to greatly reduce uncertainties in the global carbon budget and to facilitate effective emissions mitigation strategies such as REDD+ (Reducing Emissions from Deforestation and Forest Degradation). Though broad-scale mapping is based primarily on remote sensing data, the accuracy of resulting forest carbon stock estimates depends critically on the quality of field measurements and calibration procedures. The mismatch in spatial scales between field inventory plots and larger pixels of current and planned remote sensing products for forest biomass mapping is of particular concern, as it has the potential to introduce errors, especially if forest biomass shows strong local spatial variation. Here, we used 30 large (8-50 ha) globally distributed permanent forest plots to quantify the spatial variability in aboveground biomass density (AGBD in Mgha(-1)) at spatial scales ranging from 5 to 250m (0.025-6.25 ha), and to evaluate the implications of this variability for calibrating remote sensing products using simulated remote sensing footprints. We found that local spatial variability in AGBD is large for standard plot sizes, averaging 46.3% for replicate 0.1 ha subplots within a single large plot, and 16.6% for 1 ha subplots. AGBD showed weak spatial autocorrelation at distances of 20-400 m, with autocorrelation higher in sites with higher topographic variability and statistically significant in half of the sites. We further show that when field calibration plots are smaller than the remote sensing pixels, the high local spatial variability in AGBD leads to a substantial ``dilution'' bias in calibration parameters, a bias that cannot be removed with standard statistical methods. Our results suggest that topography should be explicitly accounted for in future sampling strategies and that much care must be taken in designing calibration schemes if remote sensing of forest carbon is to achieve its promise.

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Global change is impacting forests worldwide, threatening biodiversity and ecosystem services including climate regulation. Understanding how forests respond is critical to forest conservation and climate protection. This review describes an international network of 59 long-term forest dynamics research sites (CTFS-ForestGEO) useful for characterizing forest responses to global change. Within very large plots (median size 25ha), all stems 1cm diameter are identified to species, mapped, and regularly recensused according to standardized protocols. CTFS-ForestGEO spans 25 degrees S-61 degrees N latitude, is generally representative of the range of bioclimatic, edaphic, and topographic conditions experienced by forests worldwide, and is the only forest monitoring network that applies a standardized protocol to each of the world's major forest biomes. Supplementary standardized measurements at subsets of the sites provide additional information on plants, animals, and ecosystem and environmental variables. CTFS-ForestGEO sites are experiencing multifaceted anthropogenic global change pressures including warming (average 0.61 degrees C), changes in precipitation (up to +/- 30% change), atmospheric deposition of nitrogen and sulfur compounds (up to 3.8g Nm(-2)yr(-1) and 3.1g Sm(-2)yr(-1)), and forest fragmentation in the surrounding landscape (up to 88% reduced tree cover within 5km). The broad suite of measurements made at CTFS-ForestGEO sites makes it possible to investigate the complex ways in which global change is impacting forest dynamics. Ongoing research across the CTFS-ForestGEO network is yielding insights into how and why the forests are changing, and continued monitoring will provide vital contributions to understanding worldwide forest diversity and dynamics in an era of global change.

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In this article, we look at the political business cycle problem through the lens of uncertainty. The feedback control used by us is the famous NKPC with stochasticity and wage rigidities. We extend the New Keynesian Phillips Curve model to the continuous time stochastic set up with an Ornstein-Uhlenbeck process. We minimize relevant expected quadratic cost by solving the corresponding Hamilton-Jacobi-Bellman equation. The basic intuition of the classical model is qualitatively carried forward in our set up but uncertainty also plays an important role in determining the optimal trajectory of the voter support function. The internal variability of the system acts as a base shifter for the support function in the risk neutral case. The role of uncertainty is even more prominent in the risk averse case where all the shape parameters are directly dependent on variability. Thus, in this case variability controls both the rates of change as well as the base shift parameters. To gain more insight we have also studied the model when the coefficients are time invariant and studied numerical solutions. The close relationship between the unemployment rate and the support function for the incumbent party is highlighted. The role of uncertainty in creating sampling fluctuation in this set up, possibly towards apparently anomalous results, is also explored.

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En la microcuenca El Coyote localizada en el municipio de Condega, Estelí, se evaluó la calidad del agua superficial de sde febrero del 2010 a febrero del 2011. El propósito fue la identificación de indicadores que faciliten la vigilancia y monitoreo de la calidad del agua . Se integró un sistema multimétrico utilizando las características físicoquímicas y bacteriológicas, macro invertebrados acuáticos, la caracterización morfométrica de la microcuenca y la información resultante a nivel de comunidad (cambios en el uso del suelo). En la determinación de la relación de la calidad del agua con la estructura de la macrofauna acuática (macroinvertebrados) se usó el método Biological Monitoring Working Party (BMWP/Col ) . La microcuenca tiene 144 afluentes con una forma oval - oblonga - alargada, y su curva hipsométrica refleja un estado de equilibrio relativo de juvenil a madurez. El uso del suelo es inadecuado y su entorno natural fue valorado como subóptimo. Aunque los parámetros fisico químicos indicaron que las aguas son alcalinas, con un nivel aceptable de oxigeno disuelto, categorizadas según el Diagrama de Riverside como aguas aptas par a riego (C2 - S1), y aceptables según valores determinados para DBO 5 y DQO; sin embargo, requieren de un tratamiento de descontaminación previo a su uso doméstico y agropecuario. Además, debido a la presencia de coliformes fecales estas aguas no están aptas para consumo humano . Los macroinvertebrados varían, según la estacionalidad, en riqueza, abundancia y distribución, presentando una disminución en el número de individuos en la época lluviosa (t= 5.21, p<2.18E - 07). E l 6 8 . 91 % de los macroinvertebrados bioin dicadores se distribuyeron en cinco familias : Leptohyphidae , Baetidae , Hydropsychidae , Chironomidae y Physidae , siendo el cariotipo piedra el que present ó mayor diversidad y abundancia . El promedio del BMWP /Col fue de 60.06, indicando una calidad del agua entre dudosa y aceptable , y el índice ASPT de 6.71 señala una contaminación moderada ; estos resultados coincide n con los obtenidos utilizando la batería de indicadores fisicoquímicos y bacteriológicos .

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El presente trabajo se realizó con el objetivo de estudiar el comportamiento productivo y reproductivo de un hato criollo lechero Reyna, bajo condiciones de explotación en confinamiento, en la finca San José ubicada en Masatepe, Masaya, Nicaragua. Se analizaron 148 registros productivos y reproductivos correspondientes al período 1982 a 1989. Las características estudiadas fueron producción de leche total por lactancia (PLTOT), producción de leche ajustada a 305 días (PL305), duración de la lactancia (DL), intervalo entre partos (IEP) y edad al primer parto (EPP), además se evaluó el comportamiento de la curva de lactancia y se estimaron los parámetros que la caracterizan (a) parámetro que regula la producción inicial, (b) parámetro que regula el ascenso al pico y (c) parámetro que regula la declinación post pico, a partir de pico (RP), análisis se éstos se calcularon las variables rendimiento al tiempo al pico (TP) y la persistencia (S). En los utilizaron los métodos 1) Mínimos cuadrados (Harvey, 1987), 2) Iterativo de estimación no lineal (Mardquardt, 1968), 3) Modelo y ecuaciones propuestas por Wood, (1967) a través de procedimientos computarizados (Harvey, 1987 y SAS, 1987). Mediante análisis de varianza se estudió el efecto de los factores ambientales año de parto, época, número de partos y las interacciones año de parto por época y época por número de partos sobre PLT, PL305, DL, e IEP. Las medias de mínimos cuadrados obtenidas en este estudio fueron 1,577.65 ± 92.06 Kg, 1,560.64 ± 89.65 Kg, 264.23 ± 9.5 días, 425.96 ± 11.4 días y 1,401.08 ± 120 días para PLTOT, PL305, DL, IEP y EPP respectivamente. Los valores de a, b, c, RP, TP, y S fueron 4.19006 ± 0.5381, 0.221751 ± 0.0402, 0.005152 ± 0.00051, 7,73 Kg, 43.3 días y 6.43 % respectivamente. En el ANDEVA se encontró un efecto altamente significativo (P<0.01) del año de parto sobre las características estudiadas, resultando NS las otras fuentes de variación. Los valores y efectos antes señalados hacen notar que el criollo lechero no responde muy satisfactoriamente a condiciones de confinamiento, aunque es observable su ventaja productiva, respecto al promedio del hato nacional. Al caracterizar la curva de lactancia estimada para el hato y por número de partos ésta presentó valores sobre estimados de producción, respecto a la producción real, sin embargo no presentó atipicidad en su forma.

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El presente trabajo se realizó con el objetivo de estudiar el efecto de los diferentes factores ambientales y genético (RAZAV, NUMPA, AÑOP, EPOCA), sobre el comportamiento productivo y reproductivo de un hato bovino del municipio de Telica, departamento de León, en la finca "San Benito". Además se caracterizó la curva general de lactancia para la cual se utilizó el modelo Yx = axb e-ex. En donde "a" es el parámetro asociado con la producción inicial, "b" señala el ascenso al pico, "c" es la declinación de la producción post-pico y Yx es la producción diaria en el período "x". Se analizaron los registros productivos y reproductivos correspondiente al período de 1990 a 1992, las características estudiadas fueron: PLTOT, PL305, LARLA e IEP. En el análisis se utilizó el procedimiento de mínimos cuadrados mediante el análisis de varianza DEVA>, se evaluó el efecto de raza, nOmero de parto, año de parto y época de parto. Este análisis mostró un efecto altamente significativo (p<0.01) del año de parto sobre las características PLTOT, PL305 y LARLA. La época de parto resultó altamente significativa (p<0.01), para las características PL305 y LARLA, y resultó significativa (p<0.05), para PLTOT. EL efecto de la raza de la vaca y el número de parto resultó no significativo para todas las variables estudiadas, así mismo, el estudio de las características: intervalo entre parto resultó no significativa Las medias de mínimos cuadrados reportados en este estudio fueron: 1287.30±464.77 kg, 1392.99±554.53 kg ,277.72 días y 468.06±32.62 días para PLTOT, PL305, LARLA e IEP respectivamente, resultando estos valores superiores a los reportados a nivel nacional. Las medias de mínimos cuadrados para los parámetros de la curva de lactancia fueron: 3.37±3.17, 0.36±0.24" 0.005±0.004 para “a”, "b" y "c" respectivamente.

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Con el propósito de evaluar el intervalo entre partos (IEP), producción de leche por día (PLDk) y composición de la leche en contenidos de grasa (FATT), proteína (PROTT), lactosa (LACTT), materia seca (DRYMT) y sólidos no gras os (SNFT) en genotipos lecheros (Holstein, Pardo suizo, Jersey y cruces entre estos y con Brahman) de la Finca Las Mercedes de la Universidad Nacional Agraria, manejado intensivamente, se utilizó información de producción del periodo 2005 – 2007, intervalo entre partos (IEP), pesajes de leche por día (diciembre 2005 a Junio 2007) y sus respectivos análisis de composición. Los análisis se efectuaron mediante modelos aditivos lineales que incluyeron efectos fijos de grupo racial (GR), año de parto (AP), númer o de parto (NP), época de parto (EP), periodo de lactancia (PLAC) y sexo de la cría (SC) e interacciones importantes. Para IEP, fueron importantes solamente las interacciones GRxAP (P<0.02), GRxEP (P<0.01) y NP x EP (P<0.07), no así para efectos principale s; se obtuvo una media de mínimos cuadrados para IEP de 14.4 meses y los valores oscilaron entre 11 y 18 meses. Para PLDk, se encontró diferencias importantes para todas las fuentes e interacciones, excepto para AP. PLDk mostró una media de mínimos cuadra dos de 7.5 kg. /día. Los GR 2 y 4 mostraron valores mayores que 12 kg. /día; el parto 3 presento la mayor producción (10.3 kg /día); la época de parto 1 (lluvia) mostró 1.5 kg de leche mayor que la época seca; la tendencia de la curva de lactancia a lo lag o de los PLAC resulto un poco atípica sin pico de producción. De la composición de la leche, los efectos de GR, AP y PLAC resultaron importantes sobre todas las características; los promedios generales para grasa, proteína, lactosa, materia seca y sólidos no grasos fueron de 3.78%, 3.08%, 3.66%, 11.25%, 7.46%, respectivamente. El GR 2 mostró valores mayores en composición de leche; y en general, si se incrementa el volumen de leche por día se reducen todos los parámetros de composición, visto más clarament e en la curva de lactación a través de PLAC. La información generada puede sustentar las políticas de utilización de estos genotipos en Las Mercedes.