Relevant bibliographies by topics / Vector exporting useful results

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Academic literature on the topic 'Vector exporting useful results'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Vector exporting useful results"

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Karacan, Rıdvan, Shahriyar Mukhtarov, İsmail Barış, Aykut İşleyen, and Mehmet Emin Yardımcı. "The Impact of Oil Price on Transition toward Renewable Energy Consumption? Evidence from Russia." Energies 14, no. 10 (2021): 2947. http://dx.doi.org/10.3390/en14102947.

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This research investigates the impact of oil price, income and carbon dioxide emissions on renewable energy consumption in Russia for the data period from 1990 to 2015, using the Vector Error Correction Models and the Canonical Cointegrating Regression method. This article is the only study conducting individual time-series analysis that emphasizes the effect of oil price on renewable energy consumption in the case of Russia. The results of empirical analysis conclude that oil price affects renewable energy consumption negatively. The negative oil price effects on renewable energy use can be i
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Muhammad, Andrew, and Constanza Valdes. "Export Tax Reform and the Competitiveness of Imported Soybeans in China." Journal of Agricultural and Applied Economics 51, no. 3 (2019): 511–25. http://dx.doi.org/10.1017/aae.2019.15.

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AbstractExport tax reform in Argentina could improve its competitiveness in China’s soybean market, displacing exports from competing countries like Brazil and the United States. We examined the factors that determine China’s demand for imported soybean products and how export taxes could affect exporting countries. Using import demand and vector autoregression estimates, we conducted simulations of China’s import demand assuming the elimination of export taxes in Argentina. Results indicated that Argentine soybean products could realize gains in the Chinese market, but only in the short run.
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Katsampoxakis, Ioannis, Apostolos Christopoulos, Petros Kalantonis, and Vasileios Nastas. "Crude Oil Price Shocks and European Stock Markets during the COVID-19 Period." Energies 15, no. 11 (2022): 4090. http://dx.doi.org/10.3390/en15114090.

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This paper investigates the interrelations between stock returns and crude oil prices for European oil-importing/exporting countries. A vector autoregression (VAR) model is applied to estimate the significance of stock market responses to changes in oil prices during the pandemic period 2019–2021. A Granger causality test is applied to find the direction and the intensity of the relation between crude oil and the indices of the European stock markets. The findings of this paper hold with or without the COVID-19 pandemic episode and reveal the interaction between the European stock markets and
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Svanidze, Miranda, and Ivan Đurić. "Global Wheat Market Dynamics: What Is the Role of the EU and the Black Sea Wheat Exporters?" Agriculture 11, no. 8 (2021): 799. http://dx.doi.org/10.3390/agriculture11080799.

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Over the last two decades, three countries in the Black Sea Region—Russia, Ukraine, and Kazakhstan—became global leaders in grain production and trade, and replaced the USA and France as the most previous largest wheat exporting countries. In this study we investigate world wheat price linkages and identify the current “price leaders” of the global wheat market. This empirical analysis is focused on the price relationships between eight of the largest wheat exporting countries and uses a cointegration framework and a vector error-correction model. The results show that, regarding price formati
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Zaman, Nabila. "Do Oil Price Shocks Affect Household Consumption?" Research in Applied Economics 11, no. 1 (2019): 9. http://dx.doi.org/10.5296/rae.v11i1.13826.

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The paper addresses whether international oil price change has any impact on consumer spending. The study is conducted using Organisation for Economic Co-operation and Development nations, which have been chosen deliberately based on their economic importance and classifying each into oil importing and exporting countries: Canada, Germany, the UK and the USA. Applying the empirical methodology of the vector autoregressive model, we find evidence that international oil price shocks have a significant impact on consumer spending. The analysis is performed with two sets of specification for oil (
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O. Maldifassi, José, and Javier Chacón Caorsi. "Export success factors of small- and medium-sized firms in Chile." Journal of Small Business and Enterprise Development 21, no. 3 (2014): 450–69. http://dx.doi.org/10.1108/jsbed-03-2014-0053.

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Purpose – The purpose of this paper is to identify the factors that could help differentiate between successful and unsuccessful small- and medium-sized exporter firms. Design/methodology/approach – A causal model of the exporting process was developed from the literature, from which a set of hypotheses was posed and a questionnaire was made. A sample of 37 small and medium exporter firms in Chile was subject to the questionnaire. From the data collected, the critical aspects that could help differentiate between successful and unsuccessful exporting organizations were statistically identified
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Lee, Eun-Jae, Seo-Young Lee, and Yun-Kwan Lee. "A Study on the Impact of the Export-Import Bank of Korea's Official Export Finance Support on Exports." Korea International Trade Research Institute 19, no. 3 (2023): 263–76. http://dx.doi.org/10.16980/jitc.19.3.202306.263.

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Purpose – The purpose of this study is to analyze the impact of official export finance supported by the Export-Import Bank of Korea on Korea's exports. In particular, in order to differentiate from previous studies, the detailed size, as well as the long-term and short-term effects of export financing support on exports, were analyzed. Design/Methodology/Approach – In this analysis, an Export Demand Function Model was introduced. Prior to the empirical analysis, a unit root test and cointegration test were conducted. As a result of the pretest, it was found that the variables included in the
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Kefelegn, Ermyas. "Determinants of livestock products export in Ethiopia." Statistics in Transition new series 24, no. 2 (2023): 129–40. http://dx.doi.org/10.59170/stattrans-2023-024.

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Ethiopia has one of the largest livestock populations in Africa. In 2016–2017, the share of live animals, leather, and meat in the total export of the country reached 9.6%. This paper aims to identify the determinants of the export of Ethiopian livestock products by means of vector autoregressive and vector error correction models. Multivariate time series is used to model the association between the products of the Ethiopian livestock export included in the study. Vector autoregressive and vector error correction models are used for modelling and inference. The results indicated the existence
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Xie, W., N. P. Kuznetsova, and N. K. Toan. "Role of Export Credit Insurance and the Development of Russian Export Trade." Finance: Theory and Practice 27, no. 1 (2023): 174–84. http://dx.doi.org/10.26794/2587-5671-2023-27-1-174-184.

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Since the Russian Agency for Export Credit and Investment Insurance (EXIAR) was established in 2011, only a few scientists have bothered to substantiate of the Agency’s economic policy. The aim of the paper is to investigate the role of EXIAR economic policy in promoting the growth of Russia’s export trade. The current study conducts methods such as statistical, comparative and empirical analysis of panel data on the basis of econometric models. The results of the research suggest that export credit insurance can be useful for the development of Russian export trade, especially for exports to
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WANG, Xiaoting, Aihua CHEN, Huafeng WANG, and Shengxiao LI. "EFFECT OF EXPORT PROMOTION PROGRAMS ON EXPORT PERFORMANCE: EVIDENCE FROM MANUFACTURING SMES." Journal of Business Economics and Management 18, no. 1 (2017): 131–45. http://dx.doi.org/10.3846/16111699.2016.1278031.

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The objective of this paper is to examine how a firm’s participation in government export promotion programs (epps) may lead to a better export performance. Based on dynamic capabilities perspective, a mediated moderation model of epps on export performance was proposed and tested in Chinese manufacturing smes. The results show marketing implementation capabilities mediate the effect of information-related programs on export performance, and the financial aid-related epps moderate the process. The results contribute to the studies relating epps and export performance, as the results confirm th
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Books on the topic "Vector exporting useful results"

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Hrushovski, Ehud, and François Loeser. Definable compactness. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691161686.003.0004.

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This chapter describes the notion of definable compactness for subsets of unit vector V. One of the main results is Theorem 4.2.20, which establishes the equivalence between being definably compact and being closed and bounded. The chapter gives a general definition of definable compactness that may be useful when the definable topology has enough definable types. The o-minimal formulation regarding limits of curves is replaced by limits of definable types. The chapter relates definable compactness to being closed and bounded and shows that the expected properties hold. In particular, the imag
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Berg, Andrew, and Rafael Portillo. Introduction to Part I. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198785811.003.0003.

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Developing an understanding of monetary policy in LICs must start with the evidence. This chapter briefly reviews the challenges facing the empirical researcher in SSA, including scarce and inaccurate data, short policy regimes that make powerful inference difficult, and the lack of structural models to help interpret the data. It provides an overview of Chapters 4–6, which take three very different approaches to looking at these data: a broad search for cross-country stylized facts (Chapter 4), a detailed case study of a major monetary policy event (Chapter 5), and an examination of whether v
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Toolkit for Integrated Serosurveillance of Communicable Diseases in the Americas. Pan American Health Organization, 2022. http://dx.doi.org/10.37774/9789275125656.

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Serosurveillance is a tool that complements traditional public health methods for surveillance of communicable diseases and provides valuable information on disease transmission in populations; for example, to identify gaps in immunity against vaccine-preventable diseases. This information is useful for monitoring population exposure to diseases such as malaria, neglected infectious diseases, foodborne diseases, waterborne diseases, vector-borne diseases, and emerging infectious diseases. As many infectious diseases are or have been present in populations that live in environments where variou
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Book chapters on the topic "Vector exporting useful results"

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Sergey, Kosaretsky, and Likhatskikh Elena. "Supporting Elementary and Secondary Education During the Pandemic: A Case Study from the National Research University Higher School of Economics." In Knowledge Studies in Higher Education. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82159-3_16.

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AbstractThe COVID-19 pandemic has presented a formidable challenge to the Russian school system. Such global challenges and crises highlight the significance of the National Research University Higher School of Economics (HSE)’s third mission: responsibility for the well-being of the community.As one of the first universities to offer support to elementary and secondary education systems in Russia during the pandemic, the HSE relied on its ability to create new scientific knowledge and make it useful in practice to provide versatile and targeted aid for students, teachers, regional administrat
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Sergey, Kosaretsky, and Likhatskikh Elena. "Supporting Elementary and Secondary Education During the Pandemic: A Case Study from the National Research University Higher School of Economics." In Knowledge Studies in Higher Education. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82159-3_16.

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AbstractThe COVID-19 pandemic has presented a formidable challenge to the Russian school system. Such global challenges and crises highlight the significance of the National Research University Higher School of Economics (HSE)’s third mission: responsibility for the well-being of the community.As one of the first universities to offer support to elementary and secondary education systems in Russia during the pandemic, the HSE relied on its ability to create new scientific knowledge and make it useful in practice to provide versatile and targeted aid for students, teachers, regional administrat
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Seade, Jose. "Indices of vector fields and Chern classes for singular varieties." In Invitations to Geometry and Topology. Oxford University PressOxford, 2002. http://dx.doi.org/10.1093/oso/9780198507727.003.0008.

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Abstract The theorem of Poincare-Hopf about the total index of a vector field on a manifold is one of the fundamental results of mathematics in the twentieth century, giving rise to many different theories and developments in several branches of mathematics and science in general. In particular, it gave rise to obstruction theory and the theory of characteristic classes, such as the Churn classes of complex manifolds, which are very useful invariants.
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Zinn-Justin, Jean. "O(N)-symmetric vector models for N large." In Quantum Field Theory and Critical Phenomena. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198834625.003.0018.

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So far, universal properties of O(N) symmetric critical systems have been derived within the framework of the formal ϵ = 4−d expansion. Therefore, it is reassuring to verify that the results obtained in this way remain valid, at least in some limiting case, even when ϵ is not infinitesimal. Here it is shown in the example of the O(N) symmetric (ϕ<sup>2</sup>)<sup>2</sup> field theory, the same universal properties can also be derived at fixed dimension in the large N limit and, more generally, order by order in an 1/N expansion. Moreover, large N techniques are also useful, because they provid
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Hansen, Peter Reinhard, and Søren Johansen. "Introduction." In Workbook On Cointegration. Oxford University PressOxford, 1998. http://dx.doi.org/10.1093/oso/9780198776086.003.0001.

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Abstract The exercises presented with solutions in this Workbook treat the theory of cointegration in the framework of the vector autoregressive model. As an introduction we give a brief summary of the most important results from the theory as presented in SJ. The vector autoregressive model is a simple and useful econometric model for analyzing the stochastic variation of economic time series. We use the model in the error correction form where the error term et is i.i.d. and the deterministic terms Dt can be a constant, a linear term, seasonal dummies or other deterministic terms; see (4.1).
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Novotný, A., and I. Straškraba. "Some Mathematical Tools For Compressible Flows." In Introduction to the Mathematical Theory of Compressible Flow. Oxford University PressOxford, 2004. http://dx.doi.org/10.1093/oso/9780198530848.003.0003.

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Abstract This chapter deals with several auxiliary results of functional analysis which will be broadly used especially in Chapters 4 and 7. In Section 3.1 we prove Friedrich’s lemma about commutators and investigate the renormalized solutions to the steady continuity equation. Section 3.2 is devoted to spaces of vector fields with summable divergence. In Section 3.3 we investigate the equation div v = f in various domains with compact or noncompact boundaries. In Section 3.4 we recall some useful results from the theory of monotone operators and from convex analysis.
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Souto Maior de Sousa, Mikael, and Rômulo Rodrigues da Silva. "Double Pole Method in QCD Sum Rules for Vector Mesons." In Quantum Chromodynamic [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.97421.

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The QCD Sum Rules approach had proposed by Shifman, Vaishtein Zakharov Novikov, Okun and Voloshin (SVZNOV) in 1979 and has been used as a method for extracting useful properties of hadrons having the lowest mass, called as ground states. On the other hand, the most recent experimental results make it clear that the study of the excited states can help to solve many puzzles about the new XYZ mesons structure. In this paper, we propose a new method to study the first excited state of the vector mesons, in particular we focus our attention on the study of the ρ vector mesons, that have been studi
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Ionescu, Ioan R., and Mircea Sofonea. "Functional Spaces in Viscoplasticity." In Functional and Numerical Methods in Viscoplasticity. Oxford University PressOxford, 1993. http://dx.doi.org/10.1093/oso/9780198535904.003.0002.

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Abstract The purpose of this chapter is to provide some fundamental results on functional spaces, as used in viscoplasticity, for later reference. These spaces are various spaces of distributions associated with the deformation operator and the divergence operator, or spaces of vector distributions. To restrict the chapter to a reasonable length most of the basic theorems are stated without proofs. However, for the convenience of the reader some useful properties of the spaces related to the divergence operator are presented here with proofs (Section 2.3). For other results which can be easily
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Gupta, Megha. "Parvovirus Vectors: The Future of Gene Therapy." In Veterinary Medicine and Science. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.105085.

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The unique diversity of parvoviral vectors with innate antioncogenic properties, autonomous replication, ease of recombinant vector production and stable transgene expression in target cells makes them an attractive choice as viral vectors for gene therapy protocols. Amongst various parvoviruses that have been identified so far, recombinant vectors originating from adeno-associated virus, minute virus of mice (MVM), LuIII and parvovirus H1 have shown promising results in many preclinical models of human diseases including cancer. The adeno-associated virus (AAV), a non-pathogenic human parvovi
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Kapoor, Nitika, and Parminder Singh. "Heart Disease Prediction Using Decision Tree and Random Forest Classification Techniques." In Applications of Big Data in Large- and Small-Scale Systems. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-6673-2.ch015.

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Data mining is the approach which can extract useful information from the data. The prediction analysis is the approach which can predict future possibilities based on the current information. The authors propose a hybrid classifier to carry out the heart disease prediction. The hybrid classifier is combination of random forest and decision tree classifier. Moreover, the heart disease prediction technique has three steps, which are data pre-processing, feature extraction, and classification. In this research, random forest classifier is applied for the feature extraction and decision tree clas
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Conference papers on the topic "Vector exporting useful results"

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Tören, Evrim. "On the Source of Macroeconomic Fluctuations in the Middle Eastern and North African Countries: A Structural Vector Autoregression Analysis." In International Conference on Eurasian Economies. Eurasian Economists Association, 2013. http://dx.doi.org/10.36880/c04.00684.

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This study investigates the relative importance of various shocks in accounting for output fluctuations in the Middle East and North Africa (MENA) countries. The macroeconomic shocks are decomposed into country-specific, regional, and global sources by using a small open economy structural vector autoregression (SVAR) model. In order to explain output volatility in Middle East and North Africa, the relative importance of each shock in 15 MENA countries is identified in this study. The results show that country-specific factors account for most of the output volatility in the region. For less t
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Kiforenko, Oksana. "Effective Public Administration of Agro-exports in Disruptive Times – The Way to Make Rural Territories Sustainable." In 8th International Scientific Conference ERAZ - Knowledge Based Sustainable Development. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2022. http://dx.doi.org/10.31410/eraz.2022.9.

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Effective public administration is a key prerequisite for the suc- cessful functioning of any sphere of social functioning. Ukraine takes the leading place in the production and exporting of many agricultural items. In the research, special attention is paid to the sustainable development of Ukraine’s rural territories due to the extreme importance of agriculture ei- ther for the country’s own population or for its trading partners. The data analysed in the article were taken from the official web page of the State Statistics Service of Ukraine. While analysing the agro–exports of Ukraine, “ag
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Yotzov, Victor. "Is an Export-Led Growth Sustainable for Bulgaria?" In 8th International Scientific Conference ERAZ - Knowledge Based Sustainable Development. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2022. http://dx.doi.org/10.31410/eraz.2022.17.

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Effective public administration is a key prerequisite for the suc- cessful functioning of any sphere of social functioning. Ukraine takes the leading place in the production and exporting of many agricultural items. In the research, special attention is paid to the sustainable development of Ukraine’s rural territories due to the extreme importance of agriculture ei- ther for the country’s own population or for its trading partners. The data analysed in the article were taken from the official web page of the State Statistics Service of Ukraine. While analysing the agro–exports of Ukraine, “ag
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Tenedório, José António, Rossana Estanqueiro, Ana Matos Lima, and João Marques. "Remote sensing from unmanned aerial vehicles for 3D urban modelling: case study of Loulé, Portugal." In Virtual City and Territory. Centre de Política de Sòl i Valoracions, 2016. http://dx.doi.org/10.5821/ctv.8147.

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Data acquisition using Unmanned Aerial Vehicles (UAVs) is currently a fast and low-cost Remote Sensing approach. UAVs have become standard platforms for applications in photogrammetric data capture. This capture is still only feasible for small areas, around dozens of hectares. In view of our description, we can say that the data obtained using UAVs are useful for 3D urban modelling, i.e., buildings and urban areas, with a view to support large scale urbanism and urban planning studies.&#x0D; The data were gathered from RGB UAV imagery at a height of 100 meters covering the city centre of Loul
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Pai, Navin, and Mark Henderson. "An Investigation of Vector and Parallel Processing Applied to Solid Modeling." In ASME 1996 Design Engineering Technical Conferences and Computers in Engineering Conference. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/96-detc/dfm-1284.

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Abstract Solid modeling is a very useful industrial tool in the manufacture and design of industrial parts and assemblies. As a tool in the industrial workplace it has to be able to respond quickly to changes in design. To do this, the intersection algorithms between the solids have to be speeded up. Optimizations such as vector and parallel processing traditionally supported by supercomputers have the potential to solve this problem. A solid modeler was developed based on the boundary representation approach using a half-edge data structure. Those parts of the solid modeler code that could be
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Abramson, S., D. Saad, E. Marom, and N. Konforti. "Bipolar optical vector-matrix product for neural networks applications." In OSA Annual Meeting. Optica Publishing Group, 1992. http://dx.doi.org/10.1364/oam.1992.mqq6.

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Optical processors for neural networks are based on vector-matrix multiplication machines that can, potentially, compete with serial computers, because of their parallelism and ability to facilitate densely connected networks. However, in most systems proposed, the multiplication supports only two quadrants, disallowing the possibility of using both positive and negative neuron outputs to increase network capacity and learning rate. We propose and demonstrate a fast four quadrant optoelectronic multiplying machine, for a bipolar vector and a continuous matrix containing both positive and negat
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Wu, Kexin, and HeuyDong Kim. "Theoretical and Numerical Studies on the Performance of Shock Vector Control." In ASME-JSME-KSME 2019 8th Joint Fluids Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/ajkfluids2019-4691.

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Abstract The transverse injection into a supersonic flow is a significant application that appeared in numerous aerodynamic applications, such as drag reduction and fluidic thrust vectoring control. Nowadays, fluidic thrust vector control is gradually replacing mechanical thrust vector control to redirect various air vehicles. Shock vector control is very popular in fluidic thrust vector control field due to lots of advantages, such as simple structure, more integrated control effect, and quick vectoring response. In present works, numerical simulations and theoretical analyses were conducted
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Ros, J., J. Gil, and I. Zabalza. "3D_Mec: An Application to Teach Mechanics." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-85086.

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3D_Mec is a GPL-ed application for the solution of problems related to Mechanics. It is specially well suited for the direct kinematic and dynamic simulation of general systems. Is has been used during the last 10 years as a practical complement of the “Mechanics” Bachelor Course in Mechanical Engineering at the Public University of Nabarre-Spain. The main focus of the application is teaching Classical Mechanical principles and their applications. To that end 3D_Mec is constructed over an underlying Symbolic Algebra Kernel that allows the user to express itself in a language that closely resem
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Jiang, B. T., J. W. Hines, and F. Y. Zhao. "Application of Fuzzy Weighted Support Vector Regression to Accidents Condition Monitoring of Nuclear Power Plant." In 2016 24th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/icone24-60983.

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Monitoring changes in important parameters has been suggested as a potentially useful condition monitoring (CM) method for the accidents occurred in nuclear power plants (NPPs). The reactor core power is believed to be an important parameter governing the performance of reactor during transient response. The accurate prediction of reactor behavior and power is very important for nuclear power plant operators, especially during the major severe accident scenarios following an initiating event such as rod ejection accident (REA) or rod drop accident (RDA). REA and RDA together are found to be th
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Rusu, Ciprian-Daniel. "Reducing inequality as a vector for sustainable development: an analysis of sustainable development objective 10 in the European Union." In International scientific conference "Development Through Research and Innovation" IDSC-2025. Academy of Economic Studies, 2025. https://doi.org/10.53486/dri2025.39.

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This study aims to explore the literature on the realization of Goal 10, "Reduced inequality" of Agenda 30, and the extent to which reducing inequality contributes to sustainable development in 27 countries in Europe. The methodology used to achieve the proposed goal consists of observation, comparison, scientific reading. Multiple regression method was used to analyze the statistical data. It was determined that the independent variable is the GINI coefficient. For a rigorous substantiation, the study is supported in parallel by Pearson coefficient calculation and scatter plot. The results sh
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Reports on the topic "Vector exporting useful results"

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Read, Matthew. Estimating the Effects of Monetary Policy in Australia Using Sign-restricted Structural Vector Autoregressions. Reserve Bank of Australia, 2023. http://dx.doi.org/10.47688/rdp2022-09.

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Existing estimates of the macroeconomic effects of Australian monetary policy tend to be based on strong, potentially contentious, assumptions. I estimate these effects under weaker assumptions. Specifically, I estimate a structural vector autoregression identified using a variety of sign restrictions, including restrictions on impulse responses to a monetary policy shock, the monetary policy reaction function, and the relationship between the monetary policy shock and a proxy for this shock. I use an approach to Bayesian inference that accounts for the problem of posterior sensitivity to the
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Canavire-Bacarreza, Gustavo, Jorge Martínez-Vázquez, and Violeta Vulovic. Taxation and Economic Growth in Latin America. Inter-American Development Bank, 2013. http://dx.doi.org/10.18235/0011481.

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Tax policy is among the most common and relevant instruments in the toolkit of policy-makers when thinking about promoting growth, yet there is not compelling evidence regarding its effect in Latin American countries. Using a variety of approaches, we estimate the effects on growth of the most important taxes for the region, namely personal income tax, corporate income tax, general taxes on goods and services, including value added and other sales taxes, and revenues from natural resource. We evaluate the effect of these tax instruments on growth for Argentina, Brazil, Mexico, and Chile using
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Birur, Dileep, Thomas Hertel, and Wally Tyner. Impact of Biofuel Production on World Agricultural Markets: A Computable General Equilibrium Analysis. GTAP Working Paper, 2007. http://dx.doi.org/10.21642/gtap.wp53.

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This paper introduces biofuels sectors as energy inputs into the GTAP data base and to the production and consumption structures of the GTAP-Energy model developed by Burniaux and Truong (2002), and further modified by McDougall and Golub (2008). We also incorporate Agro-ecological Zones (AEZs) for each of the land using sectors in line with Lee et al. (2005). The GTAP-E model with biofuels and AEZs offers a useful framework for analyzing the growing importance of biofuels for global changes in crop production, utilization, commodity prices, factor use, trade, land use change etc. We begin by
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Khadan, Jeetendra. An Econometric Analysis of Energy Revenue and Government Expenditure Shocks on Economic Growth in Trinidad and Tobago. Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0011776.

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Energy revenues represent roughly 45 percent of Trinidad and Tobago's GDP and are highly volatile since they are correlated with the price of oil and gas. Hence, sharp changes in energy prices, whether temporary or sustained, can have important consequences for economic growth and overall macroeconomic performance. After the 2014 crash in oil prices, a key challenge that emerged for policymakers in hydrocarbon-exporting countries is how to manage fiscal retrenchment in an environment of subdued growth. Using structural vector autoregression, this article examines three questions related to thi
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Ghanim, Murad, Joe Cicero, Judith K. Brown, and Henryk Czosnek. Dissection of Whitefly-geminivirus Interactions at the Transcriptomic, Proteomic and Cellular Levels. United States Department of Agriculture, 2010. http://dx.doi.org/10.32747/2010.7592654.bard.

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Abstract:
Our project focuses on gene expression and proteomics of the whitefly Bemisia tabaci (Gennadius) species complex in relation to the internal anatomy and localization of expressed genes and virions in the whitefly vector, which poses a major constraint to vegetable and fiber production in Israel and the USA. While many biological parameters are known for begomovirus transmission, nothing is known about vector proteins involved in the specific interactions between begomoviruses and their whitefly vectors. Identifying such proteins is expected to lead to the design of novel control methods that i
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