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Libros sobre el tema "Currents fluctuations"

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Publicado: 7 de julio de 2024
Última modificación: 7 de julio de 2024

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1

Haney, Robert L. Estimating subpycnocline density fluctuations in the California Current region from upper ocean observations. Monterey, Calif: Naval Postgraduate School, 1994.

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2

Pagan, Jill C. Taxation aspects of currency fluctuations. 2a ed. London: Butterworths, 1992.

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3

C, Hilbert Lawrence, ed. Currency interventions, fluctuations and economic issues. New York: Nova Science Publishers, 2007.

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4

O'Casaide, Ciaran. Monetary distrubances and economic fluctuations in a SOE: A review. Dublin: Central Bank of Ireland, 1987.

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5

Romero-Palanco, R. Simulation of current fluctuations produced by single-phase arc welders. Manchester: UMIST, 1985.

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6

Christiano, Lawrence J. Current real business cycle theories and aggregate labor market fluctuations. Minneapolis: Institute for Empirical Macroeconomics, 1990.

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7

Bayoumi, Tamim. Currency unions, economic fluctuations and adjustment: Some empirical evidence. London: Centre for Economic Policy Research, 1995.

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8

Briggs, Peter W. Foreign currency exposure management. London: Butterworths, 1987.

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9

Briggs, Peter W. Foreign currency exposure management. London: Butterworths, 1987.

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10

Bell, Philip W. Current cost/constant dollar accounting and its uses in the managerial decision-making process. Fayetteville: University of Arkansas, 1986.

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11

Fund, International Monetary, ed. Currency unions, economic fluctuations, and adjustment: Some new empirical evidence. Washington, D.C: International Monetary Fund, 1996.

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12

Lowell, Julia. Pricing and markets: U.S. and Japanese responses to currency fluctuations. Santa Monica, Calif: Rand, 1994.

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13

Hoffmann, Mathias. National stochastic trends and international macroeconomic fluctuations: The role of the current account. Badia Fiesolana, San Domenico: European University Institute, 1999.

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14

Kay, J. A. Taxing currency fluctuations?: The tax treatment of foreign exchange gains and losses. London: Institute for Fiscal Studies, 1985.

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15

Parsley, David C. Convergence to the law of one price without trade barriers or currency fluctuations. Cambridge, MA: National Bureau of Economic Research, 1996.

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16

Giovannini, Alberto. Currency substitution and the fluctuations of foreign-exchange reserves with credibly fixed exchange rates. Cambridge, MA: National Bureau of Economic Research, 1991.

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17

Giovannini, Alberto. Currency substitution and the fluctuations of foreign-exchange reserves with credibly fixed exchange rates. London: Centre for Economic Policy Research, 1991.

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18

Osakwe, Patrick N. Currency fluctuations, liability dollarization, and the choice of exchange rate regimes in emerging markets. Ottawa: Bank of Canada, 2002.

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19

Graziano, Loretta. Currency fluctuations and the perception of corporate performance: A communications approach to financial accounting and reporting. New York: Quorum Books, 1986.

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20

Coyle, Brian. Hedging currency exposures. Chicago: Glenlake Pub. Co., 2000.

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21

Treasury, Great Britain, ed. Accounting for economic costs and changing prices: A report to HM Treasury. London: H.M.S.O., 1986.

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22

Office, General Accounting. Household goods: Adjustment of DOD's shipping rates based on foreign currency fluctuation : report to congressional requesters. Washington, D.C: The Office, 1988.

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23

Robertson, Andrew William. The influence of currency fluctuations on international airline passenger traffic and fares, with special reference to South Atlantic routes. Birmingham: University of Birmingham, 1985.

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24

United States. General Accounting Office., ed. DOD financial management: Improper use of foreign currency fluctuations account : report to the Honorable David H. Pryor, United States Senate. Washington, D.C: The Office, 1986.

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25

United States. General Accounting Office., ed. DOD financial management: Improper use of foreign currency fluctuations account : report to the Honorable David H. Pryor, United States Senate. Washington, D.C: The Office, 1986.

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26

Nazarova, I. A. Kont︠s︡ept︠s︡ii denezhnoĭ reformy v Rossii: Ot S.I︠U︡. Vitte do V.N. Kokovt︠s︡eva. Moskva: Moskovskai︠a︡ gos. akademii︠a︡ tonkoĭ khimicheskoĭ tekhnologii im. M.V. Lomonosova, 2010.

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27

Marris, Stephen. Defizite und der Dollar: Die Weltwirtschaft in Gefahr. Hamburg: Verlag Weltarchiv, 1986.

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28

Marris, Stephen. Deficits and the dollar: The world economy at risk. Washington, D.C: Institute for International Economics, 1987.

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29

Marris, Stephen. Deficits and the dollar: The world economy at risk. Washington, D.C: Institute for International Economics, 1985.

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30

Reed, Sean, Sonia Jego y Antoine Adamantidis. Electroencephalography and Local Field Potentials in Animals. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199939800.003.0007.

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This chapter discusses the history, practice, and application of electroencephalography (EEG) and local field potential (LFP) recordings, with a particular focus on animal models. EEG measures the fluctuations of electrical activity resulting from ionic currents in the brain. These measurements are often taken from electrodes placed on the surface of the scalp, or in animal models, directly on the skull. LFP recordings are more invasive, measuring electrical current from all nearby dendritic synaptic activity within a volume of tissue. These two techniques are useful in determining how neural activity can synchronize during different behavioral or motivational states.
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31

Pagan, Jill C. Taxation Aspects of Currency Fluctuations. 2a ed. Lexis Law Publishing (Va), 1991.

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32

Brander, Keith. Plankton and Fisheries. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199233267.003.0008.

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This chapter explores the dependence of fish on plankton and the relationship between plankton productivity and fisheries production. The dependence of fish production on plankton production is self-evident, since carbon fixation by photosynthetic phytoplankton forms the base of the marine food chain that leads to fish. Fisheries production is highest in areas of high plankton production, including upwelling areas (e.g. eastern boundary currents), fronts, and shelf seas with high nutrient supply. Marine mammals, seabirds, and fish that are capable of migrating over long distances often congregate to feed in these high productivity areas. However, it is generally not possible to infer fluctuations in annual fisheries yields from information on primary production, and even the average relationship for the nine areas together may be quite weak.
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33

Cutforth, Arthur Edwin. Treatment of Fluctuating Currency in Accounts. Creative Media Partners, LLC, 2015.

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34

Briggs, Peter W. Foreign Currency Exposure Management. Lexis Law Publishing (Va), 1987.

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35

Melina, Giovanni y Rafael Portillo. Economic Fluctuations in Sub-Saharan Africa. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198785811.003.0004.

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The chapter compares business cycle fluctuations in sub-Saharan African countries to the rest of the world. Its main results are: (i) African economies stand out by their macroeconomic volatility, which is reflected in the volatility of output and other macro variables; (ii) inflation and output tend to be negatively correlated in SSA countries; (iii) unlike advanced economies and emerging markets (EMs), trade balances and current accounts are acyclical in SSA; (iv) the volatility of consumption and investment relative to GDP is larger than in other countries; (v) the cyclicality of consumption and investment is smaller than in advanced economies and EMs; (vi) there is little comovement between consumption and investment; and (vii) consumption and investment are strongly positively correlated with imports. The chapter provides a tentative interpretation in terms of the main shocks hitting these economies and the nature of the mechanisms amplifying or dampening these shocks.
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36

Herfried, Wöss, Rivera Adriana San Román, Spiller Pablo T y Dellepiane Santiago. 7 Interest, Currency and Exchange Rate Fluctuations, and Cost of Arbitration. Oxford University Press, 2014. http://dx.doi.org/10.1093/law/9780199680672.003.0007.

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37

Staff, International Fiscal Association. Currency Fluctuations and International Double Taxation (Cahiers De Droit Fiscal International). Springer, 1986.

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38

Succi, Sauro. The Fluctuating Lattice Boltzmann. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199592357.003.0030.

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Fluid flow at nanoscopic scales is characterized by the dominance of thermal fluctuations (Brownian motion) versus directed motion. Thus, at variance with Lattice Boltzmann models for macroscopic flows, where statistical fluctuations had to be eliminated as a major cause of inefficiency, at the nanoscale they have to be summoned back. This Chapter illustrates the “nemesis of the fluctuations” and describe the way they have been inserted back within the LB formalism. The result is one of the most active sectors of current Lattice Boltzmann research.
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39

Schmukler, Sergio, Gil Mehrez y Daniel Kaufmann. Predicting Currency Fluctuations and Crises: Do Resident Firms Have an Informational Advantage? The World Bank, 1999. http://dx.doi.org/10.1596/1813-9450-2259.

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40

Malhi, Gin S. y Yulisha Byrow. The current classification of bipolar disorders. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198748625.003.0001.

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The current chapter describes and critically appraises the diagnosis of bipolar disorders in relation to widely used classification systems; namely, the Diagnostic and Statistical Manual of Mental Disorders (5th edition) (DSM-5) and the International Classification of Diseases (10th revision) (ICD-10). In addition, it overviews the diagnostic criteria in relation to the draft version of ICD-11. Patients with bipolar disorder experience extreme fluctuations in mood ranging from depression to mania and, because of the complex nature of the illness, diagnosis remains a clinical challenge. Recent iterations of DSM and ICD have attempted to harmonize taxonomy; however, notable differences remain. These differences are likely to impact the assessment and diagnosis of bipolar disorder and could potentially result in disparate epidemiological findings. Thus, practitioners and researchers alike need to apply careful clinical consideration when assessing those with bipolar disorder.
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41

Coyle, Brian y Alastair Graham. Hedging Currency Exposure (Currency Risk Management Series). AMACOM, 2000.

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42

Pell, George H. Outline of a Plan of a National Currency: Not Liable to Fluctuations in Value. Creative Media Partners, LLC, 2018.

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43

Coyle, Brian. Hedging Currency Exposures: Currency Risk Management (Risk Management Series). Global Professional Publishing, 2000.

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44

Reynaud, Serge y Astrid Lambrecht. Casimir forces and vacuum energy. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198768609.003.0009.

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The Casimir force is an effect of quantum vacuum field fluctuations, with applications in many domains of physics. The ideal expression obtained by Casimir, valid for perfect plane mirrors at zero temperature, has to be modified to take into account the effects of the optical properties of mirrors, thermal fluctuations, and geometry. After a general introduction to the Casimir force and a description of the current state of the art for Casimir force measurements and their comparison with theory, this chapter presents pedagogical treatments of the main features of the theory of Casimir forces for one-dimensional model systems and for mirrors in three-dimensional space.
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45

Vanhatalo, Sampsa y J. Matias Palva. Infraslow EEG Activity. Editado por Donald L. Schomer y Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0032.

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Infraslow electroencephalographic (EEG) activity refers to frequencies below the conventional clinical EEG range that starts at about 0.5 Hz. Evidence suggests that salient EEG signals in the infraslow range are essential parts of many physiological and pathological conditions. In addition, brain is known to exhibit multitude of infraslow processes, which may be observed directly as fluctuations in the EEG signal amplitude, as infraslow fluctuations or intermittency in other neurophysiological signals, or as fluctuations in behavioural performance. Both physiological and pathological EEG activity may range from 0.01 Hz to several hundred Hz. In the clinical context, infraslow activity is commonly observed in the neonatal EEG, during and prior to epileptic seizures, and during sleep and arousals. Laboratory studies have demonstrated the presence of spontaneous infraslow EEG fluctuations or very slow event-related potentials in awake and sleeping subjects. Infraslow activity may not only arise in cortical and subcortical networks but is also likely to involve non-neuronal generators such as glial networks. The full, physiologically relevant range of brain mechanisms can be readily recorded with wide dynamic range direct-current (DC)-coupled amplifiers or full-band EEG (FbEEG). Due to the different underlying mechanisms, a single FbEEG recording can even be perceived as a multimodal recording where distinct brain modalities can be studied simultaneously by performing data analysis for different frequency ranges. FbEEG is likely to become the standard approach for a wide range of applications in both basic science and in the clinic.
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46

Bonneh, Yoram. Motion-Induced Blindness. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0103.

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Motion-induced blindness (MIB) is a phenomenon characterized by “visual disappearance” in which relatively small but salient visual objects may disappear from one’s awareness intermittently for several seconds when embedded within a moving pattern. It is a compelling example of multistable perception in which physically invariant stimulation leads to fluctuations in perception. The interest in MIB stems from its potential use in studying visual processing outside the locus of awareness and the neural correlates of consciousness. Current studies of MIB provide evidence against low-level suppression of the visual signal and demonstrate residual processing of the invisible. This chapter explores these and related concepts.
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47

Lux, Thomas y Mawuli Segnon. Multifractal Models in Finance. Editado por Shu-Heng Chen, Mak Kaboudan y Ye-Rong Du. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199844371.013.8.

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This chapter provides an overview over the recently developed so-called multifractal (MF) approach for modeling and forecasting volatility. For analysts and policy makers, volatility is a key variable for understanding market fluctuations. Analysts need accurate forecasts of volatility for tasks such as risk management, as well as option and futures pricing. In addition, asset market volatility plays an important role in monetary policy. The chapter, then, outlines the genesis of the multifractal approach from similar models of turbulent flows in statistical physics and provides details about different specifications of multifractal time series models in finance, available methods for their estimation, and the current state of their empirical applications.
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48

Borzu, Sabahi. 6 Supplemental Compensation. Oxford University Press, 2011. http://dx.doi.org/10.1093/acprof:oso/9780199601189.003.0006.

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In addition to compensation or restitution for material damage, supplemental compensation is necessary to put the victim of an unlawful act fully in the hypothetical position that would exist save for the wrongful act. Supplemental compensation in this book refers to compensation for moral damage (including legal damage), interest, damage caused as a result of currency fluctuations, and arbitration costs. These heads of damages are grouped together as supplemental damages as none of them directly relates to the main material damage done to the investment but may be an integral part of full compensation. This chapter discusses the principles relating to each of these heads of supplemental damage, along with their use in investment treaty arbitration. Punitive damages and the currency of compensation in investment treaty arbitration are also discussed.
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49

Boden, Margaret A. 4. Artificial neural networks. Oxford University Press, 2018. http://dx.doi.org/10.1093/actrade/9780199602919.003.0004.

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Artificial neural networks (ANNs) are made up of many interconnected units, each one capable of computing only one thing. ANNs have myriad applications, from playing the stock market and monitoring currency fluctuations to recognizing speech or faces. ANNs are parallel-processing virtual machines implemented on classical computers. They are intriguing partly because they are very different from the virtual machines of symbolic AI. Sequential instructions are replaced by massive parallelism, top-down control by bottom-up processing, and logic by probability. ‘Artificial neural networks’ considers the wider implications of ANNs and discusses parallel distributed processing (PDP), learning in neural networks, back-propagation, deep learning, and hybrid systems.
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50

Birkbak, Andreas y Irina Papazu, eds. Democratic Situations. Mattering Press, 2022. http://dx.doi.org/10.28938/9781912729302.

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Democratic Situations places the making and doing of democratic politics at the centre of relational research. The book turns the well-known sites of contemporary Euro-American democracy – elections, bureaucracies, public debates and citizen participation – into fluctuating democratic situations where supposedly untouchable democratic ideals are contested and warped in practice. The empirical cases demonstrate that democracy cannot be reduced to theoretical schemes of conflict, institutions or deliberation. Instead, they offer an urgently needed renewal of our understanding of democratic politics at a time when conventional ideas increasingly fail to capture current events such as Brexit, Trump and Covid19.
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