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Journal articles on the topic 'Efficiency dynamics'

Author: Grafiati

Published: 28 May 2022

Last updated: 30 July 2025

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1

Rösch, Dominik M., Avanidhar Subrahmanyam, and Mathijs A. van Dijk. "The Dynamics of Market Efficiency." Review of Financial Studies 30, no. 4 (2016): 1151–87. http://dx.doi.org/10.1093/rfs/hhw085.

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2

Shirihai, Orian. "Mitochondrial dynamics and energy efficiency." Biochimica et Biophysica Acta (BBA) - Bioenergetics 1857 (August 2016): e18. http://dx.doi.org/10.1016/j.bbabio.2016.04.395.

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3

Smitha, T. K. "The Impact of Lightweighting on Vehicle Dynamics and Fuel Efficiency." TI International Journal of Engineering Science (TIIJES), A Peer reviewed Multidisciplinary Refereed Research Journal 17, no. 11 (2024): 86–98. https://doi.org/10.5281/zenodo.15040318.

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The automotive industry is under increasing pressure to enhance vehicle fuel efficiency and reduce greenhouse gas emissions. Lightweighting, the strategic reduction of vehicle mass, has emerged as a critical enabler in achieving these goals. This research article comprehensively examines the impact of lightweighting on both vehicle dynamics and fuel efficiency. By reducing inertia, lightweighting directly translates to lower energy consumption during acceleration and deceleration, leading to improved fuel economy. Furthermore, a lighter vehicle exhibits enhanced agility, responsiveness, and br

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4

Bauer, Wolfgang R., and Walter Nadler. "Dynamics and efficiency of Brownian rotors." Journal of Chemical Physics 129, no. 22 (2008): 225103. http://dx.doi.org/10.1063/1.3026736.

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5

Aguilar, Mike, Walter I. Boudry, and Robert A. Connolly. "The Dynamics of REIT Pricing Efficiency." Real Estate Economics 46, no. 1 (2017): 251–83. http://dx.doi.org/10.1111/1540-6229.12210.

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6

Guerrazzi, Marco, and Mauro Sodini. "Efficiency-wage competition and nonlinear dynamics." Communications in Nonlinear Science and Numerical Simulation 58 (May 2018): 62–77. http://dx.doi.org/10.1016/j.cnsns.2017.04.027.

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7

Avcioglu, Sahin, and Bilgehan Karabay. "Search efficiency, wage dynamics and welfare." Economic Modelling 83 (December 2019): 270–86. http://dx.doi.org/10.1016/j.econmod.2019.02.016.

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8

Rosenberg, Karen. "Surgical Team Dynamics Affect Operative Efficiency." AJN, American Journal of Nursing 123, no. 10 (2023): 62. http://dx.doi.org/10.1097/01.naj.0000979120.96393.08.

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9

Zhou, William Chongyang, and Ruicheng Wang. "Intellectual property, institutional dynamics, and firm innovation." Science and Public Policy 47, no. 3 (2020): 299–312. http://dx.doi.org/10.1093/scipol/scaa004.

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Abstract The relationship between intellectual property (IP) and innovation has been discussed extensively in extant literature. However, the dynamic essence of IP as an institutional context, particularly its setback and reversal, has received little attention. Through the lens of institutional dynamics theory, this study identifies four asymmetric categories of IP institutional dynamics: accelerating reforms, decaying reforms, decaying reversals, and accelerating reversals in a typical emerging market, China. Favorable institutional dynamics (i.e. accelerating reforms and decaying reversals)

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10

Miyano, T., and M. Hubbard. "Internal Combustion Engine Intake-Manifold Aspiration Dynamics." Journal of Dynamic Systems, Measurement, and Control 112, no. 4 (1990): 596–603. http://dx.doi.org/10.1115/1.2896184.

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A model is developed for simulating and predicting the dynamics of intake-manifolds for automotive internal combustion engines. A thermodynamic control volume approach and bond graphs are used to derive mass and energy conservation equations. Simulation outputs include time histories of pressure, temperature, mass flow, energy flow, heat flow and overall volumetric efficiency. Cylinder pressure when the intake valve closes is intensively examined because it determines the volumetric efficiency. Increases in volumetric efficiency result from increases in pressure caused by dynamic effects. Volu

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11

Izvarin, Mihail, Marina Evstaf'eva, Daniil Talyukin, and Viktoriya Pavlova. "Comparison of Transportation Energy Efficiency on the World Railways." Proceedings of Petersburg Transport University 19, no. 3 (2022): 537–49. http://dx.doi.org/10.20295/1815-588x-2022-3-537-549.

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Purpose: To conduct analytical comparison of energy efficiency (specific volumetric capacity) of transportation by rail, to analyze passenger and freight turnover dynamics by years, to calculate relative error in the consumption of fuel and energy resources by rail transport, also to study the statistics of fuel and energy resources consumption for to carry out this work by the countries: Russian Federation and United States of America. To conduct analytical study of discrepancy and statistical error between the data of the world and Rosstat national statistics. To show the relation between en

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12

Kim, Dave, and Namkug Ku. "Heave Compensation Dynamics for Offshore Drilling Operation." Journal of Marine Science and Engineering 9, no. 9 (2021): 965. http://dx.doi.org/10.3390/jmse9090965.

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In this study, dynamic response analysis of a heave compensation system for offshore drilling operations was conducted based on multibody dynamics. The efficiency of the heave compensation system was computed using simulation techniques and virtually confirmed before being applied to drilling operations. The heave compensation system was installed on a semi-submersible and comprises several interconnected bodies with various joints. Therefore, a dynamics kernel based on multibody dynamics was developed to perform dynamic response analysis. The recursive Newton–Euler formulation was adopted to

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13

Huang, Ling, and Martin D. Smith. "The Dynamic Efficiency Costs of Common-Pool Resource Exploitation." American Economic Review 104, no. 12 (2014): 4071–103. http://dx.doi.org/10.1257/aer.104.12.4071.

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We conduct the first empirical investigation of common-pool resource users' dynamic and strategic behavior at the micro level using real-world data. Fishermen's strategies in a fully dynamic game account for latent resource dynamics and other players' actions, revealing the profit structure of the fishery. We compare the fishermen's actual and socially optimal exploitation paths under a time-specific vessel allocation policy and find a sizable dynamic externality. Individual fishermen respond to other users by exerting effort above the optimal level early in the season. Congestion is costly in

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14

Wafik Nada, Doaa, and Osama Ezz Eldin Emam. "Dynamics of Productive Efficiency of Commercial Banks." المجلة العلمیة للإقتصاد و التجارة 46, no. 3 (2016): 7–33. http://dx.doi.org/10.21608/jsec.2016.163890.

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15

Balezentis, Tomas, and Giannis Karagiannis. "Aggregate Efficiency Dynamics in Lithuanian Dairy Farms." German Journal of Agricultural Economics 70, no. 4 (2021): 251–64. http://dx.doi.org/10.30430/gjae.2021.0211.

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In this paper, we attempt to identify the major groups of decision making units (dairy farms) contributing to the aggregate efficiency change. We also suggest identifying influential peers in order to gain more insights into possible development strategies within a sector. The empirical application focuses on specialist dairy farms in Lithuania. The farm-level data cover the period 2004-2016. The results indicate the presence of structural changes and resulting shifts in the aggregate efficiency. Based on the results of decomposition of the covariance term and identification of the influential

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16

Callado, Antônio André Cunha, and Carla Renata Silva Leitão. "Dynamics of Stock Prices and Market Efficiency." International Business Research 11, no. 6 (2018): 29. http://dx.doi.org/10.5539/ibr.v11n6p29.

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Over the last few decades, academic research on market efficiency has taken a leading position in the field of financial theories. The objective of this paper is to present contradictions within the evidence about market efficiency and discuss efficiency measurement as an emerging approach. The paper presents the evolution of research and also the lack of convergence between evidence provided by the literature and the lack of consistent arguments for explaining them. The paper also presents a framework that illustrates intermediate levels of efficiency and the first approach designed to measur

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17

Haq, Abdul Raheman, Abdul Qayyum, and Talat Afza. "Efficiency Dynamics of Sugar Industry of Pakistan." Pakistan Development Review 48, no. 4II (2009): 921–38. http://dx.doi.org/10.30541/v48i4iipp.921-938.

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Pakistan is the 15th largest producer of sugar in the world, 5th largest in terms of area under sugar cultivation and 60th in yield. The sugar industry is the 2nd largest agro based industry which comprises of 81 sugar mills. With this scenario, Pakistan has to import sugar which exposes it to the effects of shortage and rising prices in the world. The present sugar crisis has opened up new avenues for researcher to analyse the performance and efficiency of the firms in this sector. Total factor productivity plays a significant role in measuring the performance of a firm which ultimately affec

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18

Edenhofer, Ottmar, and Carlo C. Jaeger. "Power shifts: the dynamics of energy efficiency." Energy Economics 20, no. 5-6 (1998): 513–37. http://dx.doi.org/10.1016/s0140-9883(98)00013-9.

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19

Azari-Rad, Hamid. "Inventory dynamics, time lags, and efficiency measures." International Journal of Production Economics 87, no. 1 (2004): 17–24. http://dx.doi.org/10.1016/s0925-5273(03)00096-3.

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20

Swisher, Joel N. "Dynamics of appliance energy efficiency in Sweden." Energy 19, no. 11 (1994): 1131–41. http://dx.doi.org/10.1016/0360-5442(94)90069-8.

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21

Choi, Onelack, Spiro E. Stefanou, and Jeffrey R. Stokes. "The Dynamics of Efficiency Improving Input Allocation." Journal of Productivity Analysis 25, no. 1-2 (2006): 159–71. http://dx.doi.org/10.1007/s11123-006-7138-6.

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22

Moreau, M., B. Gaveau, and L. S. Schulman. "Stochastic dynamics, efficiency and sustainable power production." European Physical Journal D 62, no. 1 (2010): 67–71. http://dx.doi.org/10.1140/epjd/e2010-00270-9.

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23

Lopez-Martin, Bernabe. "From Firm Productivity Dynamics to Aggregate Efficiency." World Bank Economic Review 30, Supplement_1 (2016): S57—S66. http://dx.doi.org/10.1093/wber/lhw021.

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24

Arbula Blecich, Andrea, Nikolina Dukić Samaržija, and Barbara Bukovac. "Exploring efficiency dynamics in Croatian retail trade." Zbornik Veleučilišta u Rijeci 13, no. 1 (2025): 187–204. https://doi.org/10.31784/zvr.13.1.1.

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Retail trade in Croatia plays an important role in the economy, as the share of trade in GDP at market prices amounted to 20.0% and the share of trade in employment (legal entities) amounted to 15.2% in 2022. Its importance is highlighted by its vulnerability to external shocks, such as the COVID-19 pandemic and subsequent economic disruptions, including high inflation. In this study, Window Data Envelopment Analysis (WDEA) is used to assess the efficiency of 23 large and very large retail companies in Croatia between 2013 and 2022, focusing on the impact of economic fluctuations on the compan

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25

Bogachkova, L. Yu., and Sh. G. Khurshudyan. "STRUCTURAL AND DYNAMIC APPROACH TO ANALYZING THE ENERGY INTENSITY OF RUSSIAN REGIONS' GRP OVER THE PERIOD 2005-2014." International Journal of Engineering Technologies and Management Research 5, no. 12 (2018): 43–59. https://doi.org/10.5281/zenodo.2527617.

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Today, the Russian system of accounting energy consumption indicators is being actively developed, the special attention being paid to collecting verified statistical data and methodological grounding of energy efficiency monitoring in the regions. The present paper outlines the approach to estimating structural factor's effect on energy intensity of Russian regions. The approach consists in grouping Russian regions by types of their energy-economic development; studying dynamic characteristics of each group; estimating the intensity of GRP structural shifts; and analyzing statistical inte

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26

Liu, Dora D., Liang Hu, Qi Zhang, Tangwei Ye, Usman Naseem, and Zhong Yuan Lai. "A Dynamics and Task Decoupled Reinforcement Learning Architecture for High-Efficiency Dynamic Target Intercept." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 10 (2023): 12049–57. http://dx.doi.org/10.1609/aaai.v37i10.26421.

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Due to the flexibility and ease of control, unmanned aerial vehicles (UAVs) have been increasingly used in various scenarios and applications in recent years. Training UAVs with reinforcement learning (RL) for a specific task is often expensive in terms of time and computation. However, it is known that the main effort of the learning process is made to fit the low-level physical dynamics systems instead of the high-level task itself. In this paper, we study to apply UAVs in the dynamic target intercept (DTI) task, where the dynamics systems equipped by different UAV models are correspondingly

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27

Kulkarni, Ashwini, Chuyi Cui, Shirley Rietdyk, and Satyajit Ambike. "Humans prioritize walking efficiency or walking stability based on environmental risk." PLOS ONE 18, no. 4 (2023): e0284278. http://dx.doi.org/10.1371/journal.pone.0284278.

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In human gait, the body’s mechanical energy at the end of one step is reused to achieve forward progression during the subsequent step, thereby reducing the required muscle work. During the single stance phase, humans rely on the largely uncontrolled passive inverted pendular motion of the body to perpetuate forward motion. These passive body dynamics, while improving walking efficiency, also indicate lower passive dynamic stability in the anterior direction, since the individual will be less able to withstand a forward external perturbation. Here we test the novel hypothesis that humans manip

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28

Zhang, Jing, Xiaokai Zhu, Te Chen, and Guowei Dou. "Optimal Dynamics Control in Trajectory Tracking of Industrial Robots Based on Adaptive Gaussian Pseudo-Spectral Algorithm." Algorithms 18, no. 1 (2025): 18. https://doi.org/10.3390/a18010018.

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A pseudo-spectral control algorithm based on adaptive Gauss collocation point reconstruction is proposed to efficiently solve the optimal dynamics control problem of industrial robots. A mathematical model for the kinematic relationship and dynamic optimization control of industrial robots has been established. On the basis of deriving the Legendre–Gauss collocation formula, a two-stage adaptive Gauss collocation strategy for industrial robot dynamics control variables was designed to improve the dynamics optimization control effect of industrial robot by improving the solution efficiency of c

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29

Stoian, Raluca Georgiana, and Manuela Liliana Muresan. "DYNAMICS AND EFFICIENCY OF EVENTS TOURISM, FACTORS IN GLOBAL ECONOMIC GROWTH." CBU International Conference Proceedings 4 (September 21, 2016): 073–78. http://dx.doi.org/10.12955/cbup.v4.745.

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Meetings, Incentives, Conventions, and Exhibitions (MICE) is an elite segment of tourism linked to business tourism. It has become dynamic worldwide in recent years. The efficiency of tourism events emerges with the connection between the corporate world and world travel organizations. This connection is a dynamic link that is profitable for all parties involved. Currently, about 40% of the activity and profit is due to worldwide business travel and the event industry. This paper aims to highlight the efficient role of tourism events through the dynamic “Convention Bureau”, at both the interna

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30

Skwarek, Mateusz. "Is Bitcoin an emerging market? A market efficiency perspective." Central European Economic Journal 10, no. 57 (2023): 219–36. http://dx.doi.org/10.2478/ceej-2023-0013.

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Abstract Despite recent studies focused on comparing the dynamics of market efficiency between Bitcoin and other traditional assets, there is a lack of knowledge about whether Bitcoin and emerging markets efficiency behave similarly. This paper aims to compare the market efficiency dynamics between Bitcoin and the emerging stock markets. In particular, this study indicates whether the dynamics of Bitcoin market efficiency mimic those of emerging stock markets. Thus, the paper's contribution emerges from the combination of Bitcoin and emerging markets in the field of dynamics of market efficien

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31

Zhang, Jin-Fang, Zhi-Gang Shao, and Lei Yang. "Efficiency dynamics on two coupled small-world networks." Brazilian Journal of Physics 40, no. 4 (2010): 419–22. http://dx.doi.org/10.1590/s0103-97332010000400011.

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32

Никольский, В. П., and В. В. Стегайлов. "Efficiency of ARM processors for classical molecular dynamics." Numerical Methods and Programming (Vychislitel'nye Metody i Programmirovanie), no. 4 (December 18, 2015): 578–85. http://dx.doi.org/10.26089/nummet.v16r454.

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Суперкомпьютерные вычисления экзафлопсной эры будут неизбежно ограничены энергоэффективностью. Сегодня в качестве возможных кандидатов для этих целей рассматриваются различные микропроцессорные архитектуры. Недавно микропроцессоры с архитектурой ARM в своем развитии достигли момента, когда уже можно серьезно обсуждать их применение для высокопроизводительных вычислений. В настоящей статье представлен анализ эффективности последних версий ARM-микропроцессоров и их производительности для задач классической молекулярной динамики. Supercomputing of the exascale era is inevitably limited by power e

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33

Shamilev, Saidbek Rumanovich. "EVALUATION AND ANALYSIS OF DYNAMICS OF EFFICIENCY FLAX." Internetnauka, no. 1 (February 11, 2016): 35–50. http://dx.doi.org/10.19075/2414-0031-2016-1-35-50.

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34

Smirnov, G. S., and V. V. Stegailov. "Efficiency of classical molecular dynamics algorithms on supercomputers." Mathematical Models and Computer Simulations 8, no. 6 (2016): 734–43. http://dx.doi.org/10.1134/s2070048216060156.

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35

Xiao, Huijuan, and Linhai Mei. "Dynamics and Inequalities in Energy Efficiency in China." Energy and Power Engineering 11, no. 03 (2019): 132–48. http://dx.doi.org/10.4236/epe.2019.113008.

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36

QI, XIN, ZHI-GANG SHAO, JI QI, and LEI YANG. "EFFICIENCY DYNAMICS ON SCALE-FREE NETWORKS WITH COMMUNITIES." Modern Physics Letters B 24, no. 14 (2010): 1549–57. http://dx.doi.org/10.1142/s0217984910023347.

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The simple efficiency model is developed on scale-free networks with communities to study the effect of the communities in complex networks on efficiency dynamics. For some parameters, we found that the state of system will transit from a stagnant phase to a growing phase as the strength of community decreases.

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37

Radak, Brian K., and Benoît Roux. "Efficiency in nonequilibrium molecular dynamics Monte Carlo simulations." Journal of Chemical Physics 145, no. 13 (2016): 134109. http://dx.doi.org/10.1063/1.4964288.

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38

Kim, Hyojin, Youngsik Kwak, Sukho Lee, and Akash Dania. "Boosting Efficiency: How Bancassurance Transforms Insurance Cost Dynamics." Accounting and Finance Research 13, no. 4 (2024): 26. http://dx.doi.org/10.5430/afr.v13n4p26.

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This paper examines whether the bancassurance has attributed to enhancing the cost efficiency of insurance firms, which was the main purpose of the scheme in the first place. In particular, the goal of this paper is to revisit and reverify the results of existing studies that applied the DEA method to estimate the bancassurance effect, by employing additional analysis methods. Although there were some differences in the levels of efficiency each calculated by the three methods, the cost efficiency of life insurers has generally improved since the introduction of bancassurance according not onl

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39

Nawaz, Nasreen. "Dynamics of economic efficiency in tariff and trade." Australian Economic Papers 58, no. 4 (2019): 416–43. http://dx.doi.org/10.1111/1467-8454.12162.

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40

Holmström, Jan, A. P. Hameri, Niels H. Nielsen, Juha Pankakoshi, and Jonas Slotte. "Examples of production dynamics control for cost efficiency." International Journal of Production Economics 48, no. 2 (1997): 109–19. http://dx.doi.org/10.1016/s0925-5273(96)00058-8.

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41

Rekvig, Live, Marieke Kranenburg, Jocelyne Vreede, Bjørn Hafskjold, and Berend Smit. "Investigation of Surfactant Efficiency Using Dissipative Particle Dynamics." Langmuir 19, no. 20 (2003): 8195–205. http://dx.doi.org/10.1021/la0346346.

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42

Khaled, Mohammed S., and Stephen P. Keef. "On the dynamics of international stock market efficiency." Cogent Economics & Finance 2, no. 1 (2014): 923778. http://dx.doi.org/10.1080/23322039.2014.923778.

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43

Sun, Qinghe, Li Chen, and Qiang Meng. "Evaluating port efficiency dynamics: A risk-based approach." Transportation Research Part B: Methodological 166 (December 2022): 333–47. http://dx.doi.org/10.1016/j.trb.2022.10.002.

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44

Erdem, Deniz. "Foreign direct investments, energy efficiency, and innovation dynamics." Mineral Economics 24, no. 2-3 (2012): 119–33. http://dx.doi.org/10.1007/s13563-012-0015-z.

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45

Murotani, Hideaki, Hiroya Andoh, Takehiko Tsukamoto, et al. "Recombination dynamics and internal quantum efficiency in InGaN." physica status solidi (c) 11, no. 3-4 (2014): 652–55. http://dx.doi.org/10.1002/pssc.201300437.

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46

Aslam, Faheem, Bilal Ahmed Memon, Ahmed Imran Hunjra, and Elie Bouri. "The dynamics of market efficiency of major cryptocurrencies." Global Finance Journal 58 (November 2023): 100899. http://dx.doi.org/10.1016/j.gfj.2023.100899.

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47

Huang, Jianhuan, Xiaoguang Yang, Gang Cheng, and Shouyang Wang. "A comprehensive eco-efficiency model and dynamics of regional eco-efficiency in China." Journal of Cleaner Production 67 (March 2014): 228–38. http://dx.doi.org/10.1016/j.jclepro.2013.12.003.

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48

Usmanov, B. F. "INNOVATIVE DRIVERS AND GROWTH DYNAMICS." World of Transport and Transportation 16, no. 3 (2018): 256–60. http://dx.doi.org/10.30932/1992-3252-2018-16-3-23.

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For the English abstract and full text of the article please see the attached PDF-File (English version follows Russian version).Management of economic efficiency of operational activities of railway transport using innovative approaches: Monograph. D. A. Macheret, A. V. Ryshkov, N. A. Valeev [et al]; Ed. by D. A. Macheret and A. V. Ryshkov. Moscow, RIOR, 2018, 212 p. ABSTRACT In the collective monograph, the dynamics of economic efficiency of operational activities of railways and use of certain types of industrial resources of the industry are analyzed, influence of innovations and market co

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49

Shapovalov, Vladimir, Petr Shcherbak, Roman Kornienko, Vasilij Mishchinenko, and Valentina Feizova. "Increase of energy efficiency and competitiveness of mechanical systems on the basis of anisotropy of nonlinear frictional bonds." E3S Web of Conferences 104 (2019): 01003. http://dx.doi.org/10.1051/e3sconf/201910401003.

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Interaction dynamics of contacting micro- and macroroughnesses of friction surfaces defines the main tribocharacteristics: friction factor, a wear-out type, its intensity, coefficient of energy efficiency of all the system. Reliability and energy efficiency of mechanical systems substantially depend on reliability and energy efficiency of their friction units. In their turn, reliability and energy efficiency of friction units are defined by interaction of the dynamic processes happening in frictional and mechanical subsystems.

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50

Mhatre, Anand Laxman. "Dynamics 365 Transforming Healthcare." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 11 (2024): 1–6. http://dx.doi.org/10.55041/ijsrem38233.

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Understanding that the healthcare field is changing due to increased digital advancement is essential. Dynamics 365, leading the forefront across this transformation, is an application that has a host of integrated applications that offer solutions for better patient care, operations, and efficiency. This whitepaper discusses how Dynamics 365 transforms healthcare to an integrated data and analytics approach and coordinates with healthcare professionals. Keywords: Dynamics 365, Healthcare Transformation, Patient Care, Data Integration, Operational Efficiency, C ollaboration, Digital Innovation

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