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Статті в журналах з теми "Leverage cycle"

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Geanakoplos, John. "The Leverage Cycle." NBER Macroeconomics Annual 24, no. 1 (January 2010): 1–66. http://dx.doi.org/10.1086/648285.

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Aymanns, Christoph, Fabio Caccioli, J. Doyne Farmer, and Vincent W. C. Tan. "Taming the Basel leverage cycle." Journal of Financial Stability 27 (December 2016): 263–77. http://dx.doi.org/10.1016/j.jfs.2016.02.004.

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Bassanin, Marzio, Ester Faia, and Valeria Patella. "Ambiguity attitudes and the leverage cycle." Journal of International Economics 129 (March 2021): 103436. http://dx.doi.org/10.1016/j.jinteco.2021.103436.

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4

SETH, RAMA. "CORPORATE LEVERAGE AND THE BUSINESS CYCLE." Contemporary Economic Policy 10, no. 1 (January 1992): 65–80. http://dx.doi.org/10.1111/j.1465-7287.1992.tb00212.x.

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5

Jensen, Henrik, Ivan Petrella, Søren Hove Ravn, and Emiliano Santoro. "Leverage and Deepening Business-Cycle Skewness." American Economic Journal: Macroeconomics 12, no. 1 (January 1, 2020): 245–81. http://dx.doi.org/10.1257/mac.20170319.

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Анотація:
We document that the United States and other G7 economies have been characterized by an increasingly negative business-cycle asymmetry over the last three decades. This finding can be explained by the concurrent increase in the financial leverage of households and firms. To support this view, we devise and estimate a dynamic general equilibrium model with collateralized borrowing and occasionally binding credit constraints. Improved access to credit increases the likelihood that financial constraints become nonbinding in the face of expansionary shocks, allowing agents to freely substitute inter-temporally. Contractionary shocks, however, are further amplified by drops in collateral values, since constraints remain binding. As a result, booms become progressively smoother and more prolonged than busts. Finally, in line with recent empirical evidence, financially driven expansions lead to deeper contractions, as compared with equally sized nonfinancial expansions. (JEL D14, E23, E32, E44)
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Halling, Michael, Jin Yu, and Josef Zechner. "Leverage dynamics over the business cycle." Journal of Financial Economics 122, no. 1 (October 2016): 21–41. http://dx.doi.org/10.1016/j.jfineco.2016.07.001.

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7

Aymanns, Christoph, and J. Doyne Farmer. "The dynamics of the leverage cycle." Journal of Economic Dynamics and Control 50 (January 2015): 155–79. http://dx.doi.org/10.1016/j.jedc.2014.09.015.

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8

Sari, Fitri Indah, R. A. Damayanti, and Andi Kusumawati. "The Effect of Cash Conversion Cycle and Chief Executive Officer Power on Financial Distress and Leverage an Intervening Variable." International Journal of Research and Review 8, no. 7 (August 2, 2021): 337–43. http://dx.doi.org/10.52403/ijrr.20210747.

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Анотація:
This study aims to determine and analyze (1) the effect of the cash conversion cycle on financial distress, (2) the effect of chief executive officer power on financial distress, (3) the effect of the cash conversion cycle on leverage, (4) the effect of chief executive officer power on leverage (5) Effect of cash conversion cycle on leverage (6) Effect of cash conversion cycle on financial distress through leverage (7) Effect of chief executive officer power on financial distress through leverage. This research is a type of quantitative research. In this study using agency theory and stakeholder theory. The population in this study were all manufacturing companies listed on the Indonesia Stock Exchange (IDX) in 2016-2020. The sample determination in this study used purposive sampling with a sample size of 80. The research data is secondary data accessed through www.idx.co.id. The results showed that the cash conversion cycle had a positive and significant effect on financial distress. Chief executive officer power has a positive and significant effect on financial distress. Cash conversion cycle has a positive and significant effect on leverage. Cash conversion cycle has a negative effect on leverage. Cash conversion cycle has a positive effect on financial distress through leverage. Chief executive officer power has a negative effect on financial distress through leverage. Keywords: Cash Conversion Cycle, Chief Executive Officer Power, Financial Distress, Leverage.
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Fostel, Ana, and John Geanakoplos. "Endogenous Collateral Constraints and the Leverage Cycle." Annual Review of Economics 6, no. 1 (August 2014): 771–99. http://dx.doi.org/10.1146/annurev-economics-080213-041426.

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Song, Xin, Xuejie Yang, Tao Li, and Yuntao Qiang. "How does the Policy Leverage the "Resident Leverage Ratio"?" Frontiers in Business, Economics and Management 4, no. 3 (August 16, 2022): 174–80. http://dx.doi.org/10.54097/fbem.v4i3.1290.

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Анотація:
Under the background that the international economy is in great recession and the new development pattern of domestic and international double circulation has gradually become a consensus macro-economy new normal, this paper investigates 31 provinces and cities' policies and residents' leverage ratio in recent ten years, and analyzes the direction and extent of industrial policy, fiscal policy and monetary policy on residents' leverage ratio by using stata, matlab and other software. The quantitative indicators of panel data are used to simulate dynamic and static models, respectively, to solve the problems of internal lag and endogenous variables, and to some extent reflect the impact of household leverage ratio on the domestic double-cycle situation. Finally, it is concluded that the completion of real estate development investment and the sales area of residential commercial housing are the main indicators that affect household leverage ratio. The added value of financial industry, land policy and per capita income of residents have a certain positive impact on the leverage ratio. Population age structure, interest rates and other factors have a weak impact on the leverage ratio. At the end of the article, the author puts forward some policy suggestions, such as correctly guiding the supply and demand relationship in the real estate market, improving the land fiscal policy, and reasonably regulating the monetary structure, which has certain reference significance for the research on the double-cycle development pattern at home and abroad.
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Дисертації з теми "Leverage cycle"

1

Sorokina, Nonna Y. "BANK CAPITAL AND THEORY OF CAPITAL STRUCTURE." Kent State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=kent1402795531.

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BASSANIN, MARZIO. "Essays in Macro-Financial Linkages." Doctoral thesis, Luiss Guido Carli, 2019. http://hdl.handle.net/11385/201073.

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Анотація:
This thesis consists in three essays that study the linkages between real and financial factors from different perspectives. Chapter 1, co-authored with Ester Faia and Valeria Patella, introduces a full set of ambiguity attitudes, which endogenously induces agents' optimism in booms and pessimism in recessions, in a model where borrowers face occasionally binding collateral constraints. We use GMM techniques with latent value functions to estimate the ambiguity attitudes process, showing that agents update their belief over the credit cycle in a way coherent with our preferences specification. By simulating a crisis scenario, we show that optimism in booms is responsible for strong leverage build-up before the crises while pessimism in recessions implies sharper de-leveraging and asset price bursts. Analytically and numerically, using global non-linear methods, we show that our ambiguity attitudes coupled with the collateral constraints help to explain relevant asset price and leverage cycle facts around the unfolding of financial crises. Chapter 2, co-authored with Carmelo Salleo, studies the strategic interactions between monetary and macroprudential authorities through the lens of an open-economy monetary model featuring trade and financial ows between two symmetric countries. Characterizing a set of Within-Country Cooperative and Nash Equilibria for different degrees of trade and financial integration, the analysis identifies large costs associated to the strategic interaction between the domestic authorities. Moreover, the gains from cooperation are strongly affected by the degree of cross-country integration and by the channel through which the integration is realized: larger trade ows reduce the gains, while higher financial globalization makes cooperation more valuable. Then, moving to a Between-Countries Cooperative and Nash Equilibria analysis, we confirm that cooperation is beneficial from both the country-specific and the global perspective. Chapter 3, co-authored with Javier Ojea Ferreiro and Elena Rancoita proposes an innovative methodology for the design of adverse scenarios for macroprudential policies calibration and impact assessment. Our methodology allows building tailored scenarios characterized by two main features. First, there is a stable and transparent mapping of the cyclical systemic risk level into the path of the scenario's target variables, which are those variables that determine the overall scenario's severity. Second, the path of the other complementary variables is calibrates with a multivariate copula model estimated with macro and financial data (MacroFin Copula). Simulating the model for Euro Area countries, we show that our methodology is able to calibrate adverse scenarios that properly replicate the global financial crises dynamics in terms of severity and co-movement between the key macroeconomic and financial variables.
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Borsi, Mihály Tamás. "Essays on Empirical Macroeconomics." Doctoral thesis, Universidad de Alicante, 2015. http://hdl.handle.net/10045/51005.

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Xu, TengTeng. "Topics in credit, financial intermediation and international business cycles." Thesis, University of Cambridge, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.609928.

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Ivaschenko, Iryna. "Essays on corporate risk, U.S. business cycles, international spillovers of stock returns, and dual listing." Doctoral thesis, Stockholm : Economic Research Institute, Stockholm School of Economics (EFI), 2003. http://www.hhs.se/efi/summary/625.htm.

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LIN, LINGZI, and 林岭子. "The impact of financial leverage on business cycle." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/03713628279267743199.

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Анотація:
碩士
淡江大學
產業經濟學系碩士班
103
This study aims to investigate the impact of leverage on business cycle in the U.S.A. using the vector autoregressive model and more broadly to examine its spillover effects on 33 countries, mainly including OECD countries, using the global vector autoregressive model. The main findings indicate that the leverage growth has negative impact on business cycle in the U.S.A. and the negative impact spreads into most OECD countries. The evidence suggests that the leverage growth shocks play an important role as the driving force behind business cycle.
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Lin, Chun Yi, and 林君怡. "The Impact of R&D Leverage and Degree of operating leverage on Firm Value: Industry Life Cycle View." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/68782517883809569023.

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Анотація:
碩士
國立聯合大學
經營管理學系碩士班
103
There are many studies on the relationship between financial leverage and firm value, but R&D leverage and Operating Leverage is rare. Thus, this study not only shows a novel R&D leverage to measure how EPS changes in response to a change in R&D expense, but also applies panel data regression to estimate the effect of the leverage on firm values, also discuss whether its impact because industry life cycle is changed. The samples are cross-section and time series data from 2000 to 2012, listed and OTC 85 companies. The empirical results show that previous year’s R&D Leverage and current year’s Operating Leverage have a significant negative influence on current year’s Tobin’s Q respectively, no matter company size and life cycle are added as control variables or not. Moreover, previous year’s R&D Leverage and life cycle influence current year’s Tobin’s Q significantly and negatively, indicating that previous year’s R&D Leverage results in current year’s Tobin’s Q to change negatively as life cycle grow, mature, and decline. Furthermore, current year’s Operating Leverage and life cycle influence current year’s ROA, ROE, and Tobin’s Q significantly in which Tobin’s Q is influenced significantly and negatively, indicating that current year’s Operating Leverage results in current year’s ROA and ROE to change positively as life cycle grow, mature, and decline.
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Domingues, Carlos Manuel Alves. "Trade-off vs pecking order : a life cycle of financing decisions." Master's thesis, 2012. http://hdl.handle.net/1822/24938.

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Анотація:
Dissertação de mestrado em Finanças
Com o auxilio das teorias do trade-off e do pecking order, esta dissertação procura estudar se, as decisões de financiamento de empresas, durante o periodo de 1996 até 2007, são consistentes com a ideia de um ciclo de vida de decisões de financiamento. A amostra é constituida por 56420 observações, oriundas de 48 países diferentes. Os resultados mostram que ambas as teorias apresentam limitações, quer de cariz teórico quer empírico. No entanto, de forma geral, a teoria do trade-off domina a teoria do pecking order, especialmente para empresas em crescimento. Por sua vez, embora o desempenho da teoria do pecking order não se destaque em qualquer uma das fases do ciclo de vida organizacional, este tende a melhorar ligeiramente em fases de maturidade. De facto, testes adicionais revelam que o desempenho da teoria do pecking order é mais severamente condicionado por empresas de diferentes tamanhos e com diferentes quantidades de ativos tangíveis. Conciliando toda a evidencia encontrada, verificamos que a existência de um ciclo de vida de decisões de financiamento não é, de todo, absurda. Empresas em fase de crescimento demonstram seguir um padrão de financiamento distinto do de empresas mais maduras, onde a escolha de capital próprio das primeiras, contrasta fortemente com a escolha de recursos internos e dívida das segundas, como fontes de financiamento.
Assisted by the trade-off and pecking order theories, this dissertation, attempts to assess whether the financing decisions of firms, during the period from 1996 to 2007, are consistent with a life cycle of financing decisions. The sample comprises 56,420 firm observations from 48 different countries. Results show that both theories have weaknesses, either from theoretical or empirical nature. Nevertheless, in general, the trade-off dominates the pecking order, especially when growth firms are considered. In turn, while the pecking order performance does not stand out in any stage of the organizational life cycle, it tends to improve, slightly, in later stages of maturity. In fact, additional tests indicate that the performance of the pecking order is most severely constrained when firms are proxied by size and tangibility. Piecing together all the evidence, we find the existence of a life cycle of financing decisions, anything but absurd. Firms in growth stages, exhibit a financing pattern distinct to that of mature firms, where the choice for equity of the first, strongly contrasts with the choice for internal resources and debt of the second, as financing choices.
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Borowicz, Maciej Konrad. "Law and Macro-Finance: The Legal Origins of Credit Booms and Busts." Thesis, 2020. https://doi.org/10.7916/d8-phtg-4d59.

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Law and Macro-Finance is a theoretical framework explaining the relationship between law and the macro-financial variables of liquidity and leverage. The framework's central theoretical claim is that strong creditor rights exacerbate the procyclicality of liquidity and leverage. Strong creditor rights have that effect because they create different incentives in different parts of the economic cycle. Strong creditor rights encourage creditors to lend in a credit boom, thereby increasing leverage and making the economy vulnerable to shocks through various leveraged-related channels. However, in a credit bust, the enforcement of strong creditors' rights can trigger an economic downturn or make it more difficult for the economy to recover from the shocks. The normative part of the Law and Macro-Finance framework revolves around regulating liquidity primarily through a countercyclical design of the strength of creditors' rights in bankruptcy and collateral law to ensure adequate levels of leverage in different parts of the economic cycle. The key elements of bankruptcy and collateral law that could be used for that purpose are the rules establishing the strength of money market investors' rights, including bankruptcy safe harbors, true sales doctrine, and rules around collateral rehypothecation.
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Книги з теми "Leverage cycle"

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Ayres, Ian. Life-cycle investing and leverage: Buying stock on margin can reduce retirement risk. Cambridge, MA: National Bureau of Economic Research, 2008.

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2

Dickson, Henry C. The great deleveraging: Economic growth and investing strategies for the future. Upper Saddle River, N.J: FT Press, 2011.

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Oded, Shenkar, ed. The great deleveraging: Economic growth and investing strategies for the future. Upper Saddle River, N.J: FT Press, 2011.

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4

Ivaschenko, Iryna V. How much leverage is too much, or does corporate risk determine the severity of a recession? [Washington, D.C.]: International Monetary Fund, Western Hemisphere Department, 2003.

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5

Vincent, Kristen. Make Learning Meaningful: How to Leverage the Brain's Natural Learning Cycle in K-8 Classrooms. Center for Responsive Schools, 2021.

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6

Bahgat, Gawdat. Sovereign Wealth Funds in the Persian Gulf States. Edited by Douglas Cumming, Geoffrey Wood, Igor Filatotchev, and Juliane Reinecke. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780198754800.013.19.

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The period from early 2000s to 2014 witnessed unprecedented and sustained high oil prices transforming the main oil and gas exporters in the Persian Gulf into major players in global finance. The Islamic Republic of Iran and the six GCC member states (Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates) have been using these massive oil revenues to assert their economic and political leverage on the regional and international scene. A key component of this effort has been the creation of sovereign wealth funds (SWFs). This chapter examines the SWFs in Iran and the GCC states. It includes discussion of the emergence and evolution of the oil and gas industry in the region, analysis of the sharp drop in oil prices since 2014 and how this cycle is different from previous ones, and detailed examination (based on limited data availability) of Iran’s and the GCC’s major SWFs.
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Rushton, Cynda Hylton. Mapping the Path of Moral Adversity. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190619268.003.0004.

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An alternative path for addressing moral adversity and the resultant moral suffering engages the focal points in a cycle of imperiled integrity in response to moral harms, wrongs, failures, or other forms of moral adversity. Initially moral stress, a neutral state of readiness to respond that will eventually involve an appraisal as positive or negative, may be experienced. Depending on this appraisal and individual capabilities, moral stress may be rebalanced, released, or resolved, engaging our moral resilience to proactively or prospectively respond to moral adversity. Alternatively, when the moral stress of imperiled integrity exceeds our capacities and becomes unmanageable or overwhelming, it can instigate a pathway leading to moral suffering that includes moral distress, outrage, and injury. In some instances moral suffering leads to recalcitrant or persistent forms of moral decline. When moral resilience including a process of moral repair is leveraged, integrity can be restored.
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Homburg, Stefan. Real Estate. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198807537.003.0006.

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Chapter 6 examines real estate as a neglected feature of actual economies. It begins with an empirical overview demonstrating the preeminent role of land as a part of nonfinancial wealth. Whereas many macroeconomic models represent nonfinancial wealth by a symbol K that is interpreted as machines and equipment (if not robots), the text makes clear that such items are of minor quantitative importance. In contemporary economies, nonfinancial wealth consists chiefly of real estate. This is the proper reason so many analysts conjecture a link between house prices and the Great Recession. Changes in house prices (primarily changes in land prices) operate on the economy through their influence on nonfinancial wealth. Nonfinancial wealth affects consumption directly and investment indirectly since it relaxes or tightens borrowing constraints. Building on the results obtained in previous chapters, the text studies housing manias and leverage cycles and relates its main findings to US data.
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Attanasio, John. A Stronger Libertarian Paradigm and The Death of the New Deal Constitution. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190847029.003.0006.

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McCutcheon v. Federal Election Commission (FEC) and Citizens United v. FEC have transformed the playing field. Citizens United allows those who run corporations to leverage their influence by using the massive funds accumulated by these entities. McCutcheon empowers a few individuals to make contributions to multiple campaigns around the entire country. Now a few individuals can influence entire elections cycles—essentially purchase public policy. Just one year after Citizens United was decided, the share of total campaign giving by the top 0.01 percent of all campaign donors rose over 50 percent. Following McCutcheon, the number of $500,000-plus gifts increased from 14 to 134, and the number of $1 million plus gifts skyrocketed from eight to sixty-three. This strong libertarian paradigm has caused legislators to align with the interests of donors rather than constituents. This violates any number of constitutional pillars including divided power, federalism, the right to vote, and constituent representation.
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Частини книг з теми "Leverage cycle"

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Sproull, ByBob. "The Ultimate Improvement Cycle." In The Focus and Leverage Improvement Book, 19–44. 1 Edition. | New York, NY : Taylor & Francis, [2019]: Productivity Press, 2018. http://dx.doi.org/10.4324/9780429444456-2.

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Ba, Shusong. "A More Realistic Policy Orientation: Stabilizing the Slope of Rising Leverage Ratio." In The New Cycle and New Finance in China, 35–38. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8209-4_5.

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Bertolini, Gerard. "Wastepaper Cycle Management: Incentives and Product Chain Pressure Point or ‘Leverage Point’ Analysis." In Economic Incentives and Environmental Policies, 229–49. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-0856-0_11.

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Houghton, Lauren C., and Noémie Elhadad. "Practice Note: ‘If Only All Women Menstruated Exactly Two Weeks Ago’: Interdisciplinary Challenges and Experiences of Capturing Hormonal Variation Across the Menstrual Cycle." In The Palgrave Handbook of Critical Menstruation Studies, 725–32. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0614-7_53.

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Abstract Houghton and Elhadad offer a new and needed perspective on approaches for measuring the menstrual cycle and identifying underlying hormonal profiles that can help determine risk factors for chronic diseases such as breast cancer and endometriosis. The authors discuss methods that have been applied historically and how those have shown vast variation in menstrual cycle characteristics around the globe. They then review and explore how innovation in technologies can be used to detect and disseminate new menstrual cycle knowledge. Additionally, the authors show how interdisciplinary efforts across anthropology, public health, and data science can leverage the advances in mobile menstrual tracking and hormone measurement to better characterize the menstrual cycle at the population level. This analysis concludes with a breakdown of how personalized menstrual norms and predictions can help individuals to be better stewards of their own menstrual health.
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Holfelder, Wieland, Andreas Mayer, and Thomas Baumgart. "Sovereign Cloud Technologies for Scalable Data Spaces." In Designing Data Spaces, 419–36. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93975-5_25.

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AbstractThe cloud has changed the way we consume technology either as individual users or in a business context. However, cloud computing can only transform organizations, create innovation, or provide the ability to scale digital business models if there is trust in the cloud and if the data that is being generated, processed, exchanged, and stored in the cloud has the appropriate safeguards. Therefore, sovereignty and control over data and its protection are paramount. Data spaces provide organizations with additional capabilities to govern strict data usage rules over the whole life cycle of information sharing with others and enable new use cases and new business models where data can be securely shared among a defined set of collaborators and with clear and enforceable usage rights attached to create new value. Open and sovereign cloud technologies will provide the necessary transparency, control, and the highest levels of privacy and security that are required to fully leverage the potential of such data spaces. Digital sovereignty, however, still means many things to many people. So to make it more concrete, in this article, we will look at digital sovereignty across three layers: data sovereignty, operational sovereignty, and software sovereignty. With these layers, we will create a spectrum of solutions that enable scalable data spaces that will be critical for the digital transformation of the European economy.
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"Leverage and leverage cycle." In Banking Regulation and the Financial Crisis, 116–35. Routledge, 2012. http://dx.doi.org/10.4324/9780203126981-12.

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Smithers, Andrew. "Life Cycle Savings Hypothesis." In The Economics of the Stock Market, 140–42. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780192847096.003.0028.

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Consensus models assume that the return on capital is set by a constant, psychologically determined, discount rate. The evidence is against this. The stationarity of equity returns and its absence from returns on total capital require a wide variation in either interest rates or leverage. As real interest rates fluctuate over time within a narrow range, the cause of major divergence between the returns on equity and total capital lies in variations in leverage, matched by those in household portfolio preference. Leverage varies and its fluctuations are not offset by changes in interest rates. The return on bonds is not, as consensus models imply, positively correlated with those on equity. Because the return on equity is inelastic to changes in bond yields and leverage is not, the process of adjustment only involves small changes in long bond yields and none in the return on equity. The large difference in bond and equity returns results from the utility function of savers being determined by their prime aim which is to preserve consumption in retirement, contrary to the usual assumption that savings are driven by a wish to boost spending. Retirement savings dominate the household sector’s total financial assets.
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Smithers, Andrew. "Corporate Leverage and Household Portfolio Preference." In The Economics of the Stock Market, 31–33. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780192847096.003.0005.

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In an economy in which there are only two sectors, corporations and households, the ratio of debt to equity must be the same in both. If households wish to hold more debt, companies must become more leveraged. Because there are large differences in price elasticities the adjustment occurs through changes in bond yields, rather than in equity returns. Corporate leverage is endogenous and equilibrium is achieved, when fiscal policy and portfolio preference alter, by its response to them via changes in bond yields. Fiscal deficits vary with the cycle, but the possibility of different secular levels rests on the assumption that the economy has more than one possible equilibrium. This is implied by the neoclassical consensus though, due to its failure to recognize the need for the balance between portfolio preference and leverage, there is no analysis on whether the output of economies operating under these different equilibria will grow at different rates. The model explains how this balance is achieved and indicates that an economy with a fiscal deficit and higher interest rates will tend to grow more slowly than one with smaller deficits and lower long-term interest rates.
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9

Dempsey, Michael. "Financial leverage: The value of the firm and the economic cycle." In Investment Analysis, 53–76. Routledge, 2019. http://dx.doi.org/10.4324/9780429424397-4.

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10

Nidar, S. R., and I. Sugianti. "The effect of life cycle stages on leverage in Indonesian listed companies." In Advances in Business, Management and Entrepreneurship, 251–55. CRC Press, 2020. http://dx.doi.org/10.1201/9780429295348-57.

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Тези доповідей конференцій з теми "Leverage cycle"

1

Ianchanko, Alex, and Brie Jones. "In Practice: Operationalizing Life Cycle Assessment for Design Teams." In 2020 ACSA Fall Conference. ACSA Press, 2020. http://dx.doi.org/10.35483/acsa.aia.fallintercarbon.20.10.

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In the context of ongoing anthropogenic climate change, the building sector bears a significant responsibility to curtail greenhouse gas emissions. To quantify and reduce their environmental impact, building industry professionals are rapidly adopting life cycle assessment (LCA) tools. However, before LCA is adopted in practice as a routine part of the design process, three gaps must be addressed – the knowledge gap of understanding upstream emissions from other economic sectors, the communication gap of effectively conveying LCA study results, and the method gap of matching LCA tools to design team needs. This paper presents a meta-analysis of forty-nine recent LCA studies completed by the Miller Hull Partnership in pursuit of carbon-sequestering design, and describes lessons learned in traversing the knowledge, communication, and method gaps in order to embed LCA in the design process. Our experience demonstrates three possible strategies – the knowledge gap can be closed when practitioners engage with professionals in adjacent sectors in interdisciplinary research; the communication gap can be closed when design teams leverage replicable data collection and visualization tools; and the method gap can be addressed by deliberately framing LCA studies as iterative hotspot analyses rather than retroactive, static performance studies.
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2

Nass, Susanne, Andre Sprenger, and Reiner Anderl. "Methodology for Estimation of Life Cycle Orientated Optimizatation Measures of Investment Goods." In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-39693.

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A manufacturer of any kind of product has to be in contrast to competitive to survive on market. A major point to win a customer over is the arrangements of costs. In investment goods industry asset cost are just the tip of the iceberg. Most of their costs accrue by use. Because of that it is important to overview the whole costs of the product life cycle. Product life cycle costs describe the cost of a product over its whole life. This includes all expenses from development, production and use to recycling and refers to manufacturer and customer equally. The majority of costs are determined in the stages of product development. As a manufacturer of complex investment goods (e.g. machine for production) the question of new development investments has to be answered. There are three important dimensions to consider. These dimensions concern the right part of product for improvement, the right kinds of costs and the owner of these costs. In detail they have to decide which part of product should be improved to get the main effect concerning reduction of life cycle costs. But in that case it is also important to know what kinds of costs of the chosen part have to be reduced (for example energy cost, cost for maintenance or repair). The third dimension in case of product life cycle costs aims at the owner of the cost, manufacturer or customer. This is a problem when new developments cause savings on one side but expenses for the other. In that context the best leverage of these combinations is searched for which means that exactly this kind of costs has to be identified, whose savings get the biggest benefit in relation to necessary expenses. This paper presents an approach to address this problem. For the pre-selection of possible functions established methods derived from product development are used in this context. Afterwards a procedure of quantification is presented. Calculation and rating of new defined management ratios provide the biggest leverage in order to reduce the product life cycle costs. This approach represents an instrument for manufacturer’s business of investment goods to make decisions about their future investments in the field of product development.
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3

Guo, Zhendong, Wei Sun, Liming Song, Jun Li, and Zhenping Feng. "Generative Transfer Optimization for Aerodynamic Design." In GPPS Xi'an21. GPPS, 2022. http://dx.doi.org/10.33737/gpps21-tc-225.

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Transfer optimization, one type of optimization methods, which leverages knowledge of the completed tasks to accelerate the design progress of a new task, has been in widespread use in machine learning community. However, when applying transfer optimization to accelerate the progress of aerodynamic shape optimization (ASO), two challenges are encountered in sequence, that is, (1) how to build a shared design space among the related aerodynamic design tasks, and (2) how to exchange information between tasks most efficiently. To address the first challenge, a datadriven generative model is used to learn airfoil representations from the existing database, with the aim of synthesizing various airfoil shapes in a shared design space. To address the second challenge, both singleand multifidelity Gaussian processes (GPs) are employed to carry out optimization. On one hand, the multifidelity GP is used to leverage knowledge from the completed tasks. On the other hand, mutual learning is established between singleand multifidelity GP models by exchanging information between them in each optimization cycle. With the above, a generative transfer optimization (GTO) framework is proposed to shorten the design cycle of aerodynamic design. Through airfoil optimizations at different working conditions, the effectiveness of the proposed GTO framework is demonstrated.
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4

Harrigan, Matt, Avinash Sarlashkar, Raymond Beale(Jr.), Jared Kloda, Mark Kruse, and Dennis Vanill. "Rotorcraft Digital Twin: Exploiting On-board Data for Enhancing Sustainment and Operational Availability." In Vertical Flight Society 78th Annual Forum & Technology Display. The Vertical Flight Society, 2022. http://dx.doi.org/10.4050/f-0078-2022-17600.

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Rotorcraft Digital Twin (RDT) is a Digital Transformation initiative to leverage on-board flight data, design data, maintenance records, and advanced analytical models to enhance the current sustainment paradigm, increase availability, reduce life-cycle cost, and to enable optimization of future designs. Many core capabilities have been integrated into RDT, such as load estimation, advanced regime recognition, gross weight estimation, fatigue damage accrual calculations, among others, which leverage a rich body of prior work. Multiple algorithms enable component life extensions, predictive maintenance, selection of the optimal set of assets for a particular mission or deployment to minimize the likelihood of unscheduled maintenance, supporting the Rotorcraft Structural Integrity Program (RSIP) requirements, and feeding field data back into the design process for continuous product improvements. A robust, generic, and reusable suite of algorithms and associated framework has been developed utilizing a common data model where possible. RDT has been developed with a modern cloud-native microservice software architecture which glues together carefully selected Free and Open-Source Software (FOSS) components.
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5

Sullivan, Shaun D., Jason Farias, James Kesseli, and James Nash. "Mechanical Design and Validation Testing for a High-Performance Supercritical Carbon Dioxide Heat Exchanger." In ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/gt2017-63639.

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Supercritical carbon dioxide (sCO2) Brayton cycles hold great promise as they can achieve high efficiencies — in excess of 50% — even at relatively moderate temperatures of 700–800 K. However, this high performance is contingent upon high-effectiveness recuperating and heat rejection heat exchangers within the cycle. A great deal of work has gone into development of these heat exchangers as they must operate not only at elevated temperatures and very high pressures (20–30 MPa), but they must also be compact, low-cost, and long-life components in order to fully leverage the benefits of the sCO2 power cycle. This paper discusses the mechanical design and qualification for a novel plate-fin compact heat exchanger designed for sCO2 cycle recuperators and waste heat rejection heat exchangers, as well as direct sCO2 solar absorber applications. The architecture may furthermore be extended to other very high pressure heat exchanger applications such as pipeline natural gas and transcritical cooling cycles. The basic heat exchanger construction is described, with attention given to those details which have a direct impact on the durability of the unit. Modeling and analysis of various mechanical failure modes — including burst strength, creep, and fatigue — are discussed. The design and construction of test sections, test rigs, and testing procedures are described, along with the test results that demonstrate that the tested design has an operating life well in excess of the 100,000 cycles/90,000 hour targets. Finally, the application of these findings to a set of design tools for future units is demonstrated.
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6

Honggowati, Setianingtyas, and Anastasia Riani Suprapti. "THE INFLUENCES OF EARNINGS, LEVERAGE, OPERATING CYCLE, CAPITAL INTENSITY AND OPERATING CASH FLOW TOWARD FUTURE OPERATING CASH FLOW OF THE COMPANIES REGISTERED IN INDONESIA STOCK EXCHANGE." In Annual International Conference on Accounting and Finance. Global Science & Technology Forum (GSTF), 2011. http://dx.doi.org/10.5176/978-981-08-8957-9_af-062.

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7

Owolabi, David, and Cristiano Loss. "Advancements in Timber Construction: A Review of Prefabricated Mass Timber Floor Assemblies." In IABSE Congress, Nanjing 2022: Bridges and Structures: Connection, Integration and Harmonisation. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2022. http://dx.doi.org/10.2749/nanjing.2022.0928.

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<p>This paper provides a state-of-the-art review of prefabricated mass timber floors, with a focus on composite floor assemblies for common residential and long-span office applications. The discussion relates to different design aspects, including connection systems and methods of assembly. Also, design methods and code provisions for the floor assemblies comprising ultimate limit state design, vibration control and long-term behaviour are expounded. A life-cycle overview of floor solutions is also presented to highlight their sustainability potential. The paper demonstrates how the building industry can leverage the structural performance, light weight and prefabrication capabilities of these innovative floor solutions for a better-built environment.</p>
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8

Gonsoulin, D., G. Ozkhan, B. Papari, and C. S. Edrington. "Effects of Varying Ramp Rate and Amount of ES." In 14th International Naval Engineering Conference and Exhibition. IMarEST, 2018. http://dx.doi.org/10.24868/issn.2515-818x.2018.053.

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This paper will address the usage of combined power and energy management control layers to systematically study the effect of intelligently varying generator ramp rates and its impact on required energy storage in the presence of mission load profiles. The work will utilize a developed notional 4-zone representation of a destroyer-class ship in which there is an energy management layer (composed of a distributed model predictive control) and a power management layer (composed of a distributed droop control). The work will analyze conditions in which the ship must fire a pulsed-power load. The effect of the energy management to leverage available energy storage versus allowing generator ramp-rates to exceed standards in the presences of the aforementioned conditions will be studied to illustrate how the consideration of system-level control is critical in the design cycle.
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9

Parker, David. "A New Role on the Pipeline EPCM Project." In 2006 International Pipeline Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/ipc2006-10137.

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Recent developments in the application of spatial information technologies have brought opportunities for dramatic improvements in speed, accuracy and cost-effectiveness of production of pipeline project deliverables. In addition to the potential for design and construction improvements, life cycle improvements are found through the use of spatial data relating to pipeline operation, environmental stewardship, regulatory, public and other stakeholder communications. However, these opportunities have not been consistently captured on all pipeline jobs. Part of the challenge in the introduction of new technology is to align members of the team so that skills and assigned tasks are matched. Traditionally, pipeline design and construction projects have employed a proven team organization structure. Changes to the tradition are necessary. This paper discusses the main advantages of using spatial information on a pipeline project. Furthermore, a discussion of the various project team roles explores how to leverage the new technologies effectively. Examples drawn from the largest pipeline projects currently in process will highlight the lessons learned to date.
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Liu, Mingtong, Erguang Yang, Deyi Xiong, Yujie Zhang, Chen Sheng, Changjian Hu, Jinan Xu, and Yufeng Chen. "Exploring Bilingual Parallel Corpora for Syntactically Controllable Paraphrase Generation." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/547.

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Paraphrase generation is of great importance to many downstream tasks in natural language processing. Recent efforts have focused on generating paraphrases in specific syntactic forms, which, generally, heavily relies on manually annotated paraphrase data that is not easily available for many languages and domains. In this paper, we propose a novel end-to-end framework to leverage existing large-scale bilingual parallel corpora to generate paraphrases under the control of syntactic exemplars. In order to train one model over the two languages of parallel corpora, we embed sentences of them into the same content and style spaces with shared content and style encoders using cross-lingual word embeddings. We propose an adversarial discriminator to disentangle the content and style space, and employ a latent variable to model the syntactic style of a given exemplar in order to guide the two decoders for generation. Additionally, we introduce cycle and masking learning schemes to efficiently train the model. Experiments and analyses demonstrate that the proposed model trained only on bilingual parallel data is capable of generating diverse paraphrases with desirable syntactic styles. Fine-tuning the trained model on a small paraphrase corpus makes it substantially outperform state-of-the-art paraphrase generation models trained on a larger paraphrase dataset.
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Звіти організацій з теми "Leverage cycle"

1

Christiano, Lawrence, and Daisuke Ikeda. Leverage Restrictions in a Business Cycle Model. Cambridge, MA: National Bureau of Economic Research, January 2013. http://dx.doi.org/10.3386/w18688.

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2

Kaminsky, Graciela, Leandro Medina, and Shiyi Wang. The Financial Center Leverage Cycle: Does it Spread Around the World? Cambridge, MA: National Bureau of Economic Research, February 2020. http://dx.doi.org/10.3386/w26793.

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3

Dinlersoz, Emin, Sebnem Kalemli-Ozcan, Henry Hyatt, and Veronika Penciakova. Leverage over the Life Cycle and Implications for Firm Growth and Shock Responsiveness. Cambridge, MA: National Bureau of Economic Research, November 2018. http://dx.doi.org/10.3386/w25226.

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4

Ayres, Ian, and Barry Nalebuff. Life-cycle Investing and Leverage: Buying Stock on Margin Can Reduce Retirement Risk. Cambridge, MA: National Bureau of Economic Research, June 2008. http://dx.doi.org/10.3386/w14094.

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5

Giroud, Xavier, and Holger Mueller. Firm Leverage and Regional Business Cycles. Cambridge, MA: National Bureau of Economic Research, December 2018. http://dx.doi.org/10.3386/w25325.

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6

Davis, Josh, and Alan Taylor. The Leverage Factor: Credit Cycles and Asset Returns. Cambridge, MA: National Bureau of Economic Research, November 2019. http://dx.doi.org/10.3386/w26435.

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7

Wen, Yi, and Patrick A. Pintus. Leveraged Borrowing and Boom-Bust Cycles. Federal Reserve Bank of St. Louis, 2010. http://dx.doi.org/10.20955/wp.2010.027.

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8

Jordà, Òscar, Moritz HP Schularick, and Alan Taylor. When Credit Bites Back: Leverage, Business Cycles, and Crises. Cambridge, MA: National Bureau of Economic Research, November 2011. http://dx.doi.org/10.3386/w17621.

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9

Schularick, Moritz, and Alan Taylor. Credit Booms Gone Bust: Monetary Policy, Leverage Cycles and Financial Crises, 1870-2008. Cambridge, MA: National Bureau of Economic Research, November 2009. http://dx.doi.org/10.3386/w15512.

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10

Wang, Chih-Hao, and Na Chen. Do Multi-Use-Path Accessibility and Clustering Effect Play a Role in Residents' Choice of Walking and Cycling? Mineta Transportation Institute, June 2021. http://dx.doi.org/10.31979/mti.2021.2011.

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The transportation studies literature recognizes the relationship between accessibility and active travel. However, there is limited research on the specific impact of walking and cycling accessibility to multi-use paths on active travel behavior. Combined with the culture of automobile dependency in the US, this knowledge gap has been making it difficult for policy-makers to encourage walking and cycling mode choices, highlighting the need to promote a walking and cycling culture in cities. In this case, a clustering effect (“you bike, I bike”) can be used as leverage to initiate such a trend. This project contributes to the literature as one of the few published research projects that considers all typical categories of explanatory variables (individual and household socioeconomics, local built environment features, and travel and residential choice attitudes) as well as two new variables (accessibility to multi-use paths calculated by ArcGIS and a clustering effect represented by spatial autocorrelation) at two levels (level 1: binary choice of cycling/waking; level 2: cycling/walking time if yes at level 1) to better understand active travel demand. We use data from the 2012 Utah Travel Survey. At the first level, we use a spatial probit model to identify whether and why Salt Lake City residents walked or cycled. The second level is the development of a spatial autoregressive model for walkers and cyclists to examine what factors affect their travel time when using walking or cycling modes. The results from both levels, obtained while controlling for individual, attitudinal, and built-environment variables, show that accessibility to multi-use paths and a clustering effect (spatial autocorrelation) influence active travel behavior in different ways. Specifically, a cyclist is likely to cycle more when seeing more cyclists around. These findings provide analytical evidence to decision-makers for efficiently evaluating and deciding between plans and policies to enhance active transportation based on the two modeling approaches to assessing travel behavior described above.
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