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1

Labouvie-Vief, Gisela. "Dynamic Integration." Current Directions in Psychological Science 12, no. 6 (2003): 201–6. http://dx.doi.org/10.1046/j.0963-7214.2003.01262.x.

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Dassi, Erik, and Alessandro Quattrone. "DynaMIT: the dynamic motif integration toolkit." Nucleic Acids Research 44, no. 10 (2016): 4988. http://dx.doi.org/10.1093/nar/gkw119.

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Dassi, Erik, and Alessandro Quattrone. "DynaMIT: the dynamic motif integration toolkit." Nucleic Acids Research 44, no. 1 (2015): e2-e2. http://dx.doi.org/10.1093/nar/gkv807.

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4

RUSU, Daniel. "DYNAMIC INTEGRATION OF CSR INTO STRATEGIC MANAGEMENT PROCESSES." BUSINESS EXCELLENCE AND MANAGEMENT 12, no. 1 (2022): 73–92. http://dx.doi.org/10.24818/beman/2022.12.1-06.

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Based on the strategic management processes, it is particularly necessary to initiate but also develop a connection between CSR integration through a dynamic approach and the social philosophy of management, a systematic analysis of the processes that strategically manage CSR and the socially oriented implementation of the topic strategic integration of CSR. Related to these research topics we need to know closely the strategic management processes that integrate CSR, how they work, what influences strategic change and especially how we can define the management tools used to support the imple
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5

Guan, Junjie. "Integration of ESG Ratings and Green Fintech Applications: Dynamic Assessment and Decision Support Based on Gradient Boosting Model Optimization." Advances in Economics, Management and Political Sciences 170, no. 1 (2025): 67–76. https://doi.org/10.54254/2754-1169/2025.lh23996.

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This study proposes a dynamic assessment framework based on gradient boosting model optimization, which aims to address the core challenges of inefficient modeling of discrete features, insufficient model dynamics, and algorithmic ethical risks in ESG ratings. The dynamic feature engineering by integrating the embedding layer and adaptive sub-boxing, combined with incremental learning and integration strategies, significantly improves the characterization efficiency of high-dimensional sparse features and the real-time response capability of the model. Blockchain technology is introduced to en
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6

Li, Wen-Syan, and Chris Clifton. "Dynamic Integration in Multidatabase Systems." Journal of Database Management 7, no. 1 (1996): 28–40. http://dx.doi.org/10.4018/jdm.1996010103.

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7

Dungan, Joyce M. "Dungan Model of Dynamic Integration." International Journal of Nursing Terminologies and Classifications 8, no. 1 (1997): 17–28. http://dx.doi.org/10.1111/j.1744-618x.1997.tb00128.x.

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8

Hebner, Robert E., Kent Davey, John Herbst, et al. "Dynamic Load and Storage Integration." Proceedings of the IEEE 103, no. 12 (2015): 2344–54. http://dx.doi.org/10.1109/jproc.2015.2457772.

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9

Ritchie, J. Brendan, and Thomas A. Carlson. "Tool Integration and Dynamic Touch." Psychological Science 24, no. 6 (2013): 1066–68. http://dx.doi.org/10.1177/0956797612459768.

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10

Journal, IJSREM. "DYNAMIC INTEGRATION OF BICYCLE DESIGN." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 02 (2024): 1–10. http://dx.doi.org/10.55041/ijsrem28498.

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Bicycles have been an essential mode of transportation and a source of recreation for centuries. In recent years, the field of bicycle design has seen a paradigm shift with the introduction of dynamic integration. This innovative approach focuses on seamlessly combining various elements of design to enhance both performance and user experience, setting a new standard for the cycling industry. Cycling also offers a reduced consumption of fossil fuels, less air or noise pollution, and much reduced traffic congestion. These lead to less financial cost to the user as well as to society at large. I
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11

Fu, Chao Jiang. "Mixed Time Integration Parallel Algorithm for Nonlinear Dynamic Analysis." Applied Mechanics and Materials 580-583 (July 2014): 3038–41. http://dx.doi.org/10.4028/www.scientific.net/amm.580-583.3038.

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The mixed time integration parallel algorithm for nonlinear dynamic analysis was presented by synthesising the implicit and explicit time integration techniques. The parallel algorithm employing mixed time integration technique was devised with domain decomposition. Concurrency was introduced into this algorithm by integrating interface nodes with explicit time integration technique and solving local subdomains with implicit algorithm. Numerical example was implemented to validate the performance of the parallel algorithm. Numerical studies indicate that the proposed algorithm is superior in p
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12

Sorli, Amrit Srecko, and Štefan Čelan. "Integration of Life and Consciousness into Cosmology." JOURNAL OF ADVANCES IN PHYSICS 17 (January 30, 2020): 41–49. http://dx.doi.org/10.24297/jap.v17i.8623.

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The Big Bang model is based on vague interpretations of experimental data. Direct interpretation of the data opens a new vision of the universe in a permanent dynamic equilibrium without beginning and without end. In the universe as the main system, the evolution of life on planet Earth is a consistent part of the universal process that operates in the entire universe. The origin of life as a consistent part of universal dynamics is in higher dimensions of the multidimensional dynamic quantum vacuum.
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13

Vamsi Krishna, Badeti Purna, and K. Kumara Swamy. "Time Integration Methods for Nonlinear Dynamic Problems." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 11 (2023): 1–11. http://dx.doi.org/10.55041/ijsrem26976.

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The accurate simulation and analysis of nonlinear dynamic problems across various scientific disciplines are essential for understanding complex physical phenomena. Time integration methods play a crucial role in numerically solving these problems, providing numerical approximations to the time-evolution of systems governed by ordinary or partial differential equations. This paper presents a comprehensive exploration of time integration methods tailored for addressing nonlinear dynamic problems encountered in diverse fields such as physics, engineering, and computational sciences. The review e
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14

Chagas Jr, Milton de Freitas, Dinah Eluze Sales Leite, and Gabriel Torres de Jesus. ""COUPLED PROCESSES" AS DYNAMIC CAPABILITIES IN SYSTEMS INTEGRATION." Revista de Administração de Empresas 57, no. 3 (2017): 245–57. http://dx.doi.org/10.1590/s0034-759020170305.

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ABSTRACT The dynamics of innovation in complex systems industries is becoming an independent research stream. Apart from conventional uncertainties related to commerce and technology, complex-system industries must cope with systemic uncertainty. This paper's objective is to analyze evolving technological paths from one product generation to the next through two case studies in the Brazilian aerospace industry, considering systems integration as an empirical instantiation of dynamic capabilities. A proposed "coupled processes" model intertwines two organizational processes regarded as two leve
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15

Woyak, Scott A., and Arvid Myklebust. "Functionality and Data Integration of Software Modules Through Dynamic Integration." Journal of Engineering Design 9, no. 2 (1998): 137–58. http://dx.doi.org/10.1080/095448298261598.

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16

Hubral, Peter, Jorg Schleicher, and Martin Tygel. "Three‐dimensional primary zero‐offset reflections." GEOPHYSICS 58, no. 5 (1993): 692–702. http://dx.doi.org/10.1190/1.1443453.

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Zero‐offset reflections resulting from point sources are often computed on a large scale in three‐dimensional (3-D) laterally inhomogeneous isotropic media with the help of ray theory. The geometrical‐spreading factor and the number of caustics that determine the shape of the reflected pulse are then generally obtained by integrating the so‐called dynamic ray‐tracing system down and up to the two‐way normal incidence ray. Assuming that this ray is already known, we show that one integration of the dynamic ray‐tracing system in a downward direction with only the initial condition of a point sou
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17

Chang, F., and Z.-H. Lu. "Dynamic model of an air spring and integration into a vehicle dynamics model." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 222, no. 10 (2008): 1813–25. http://dx.doi.org/10.1243/09544070jauto867.

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It is worthwhile to design a more accurate dynamic model for air springs, to investigate the dynamic behaviour of an air spring suspension, and to analyse and guide the design of vehicles with air spring suspensions. In this study, a dynamic model of air spring was established, considering the heat transfer process of the air springs. Two different types of air spring were tested, and the experimental results verified the effectiveness of the air spring model compared with the traditional model. The key factors affecting the computation accuracy were studied and checked by comparing the result
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18

Srikanth Perla. "AI-driven Test Automation for Salesforce and System Integration." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 1120–29. https://doi.org/10.32628/cseit251112116.

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Integrating artificial intelligence into test automation frameworks has transformed quality assurance practices in Salesforce environments and system integrations. AI-driven solutions have revolutionized testing approaches through smart test selection, risk-based analysis, and dynamic element identification capabilities. These advancements enable organizations to detect defects earlier, reduce false positives, and significantly decrease test maintenance efforts. Self-healing locators and context-aware selection mechanisms have enhanced test stability across dynamic web applications, while patt
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19

Lakrisenko, Polina, and Daniel Weindl. "Dynamic models for metabolomics data integration." Current Opinion in Systems Biology 28 (December 2021): 100358. http://dx.doi.org/10.1016/j.coisb.2021.100358.

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20

Mariani, Leonardo, Fabrizio Pastore, and Mauro Pezze. "Dynamic Analysis for Diagnosing Integration Faults." IEEE Transactions on Software Engineering 37, no. 4 (2011): 486–508. http://dx.doi.org/10.1109/tse.2010.93.

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21

Gao, Ruilin, Anwen Jiang, and Hongjin Chen. "Dynamic Performance Evaluation of PV Integration." IOP Conference Series: Materials Science and Engineering 322 (March 2018): 072011. http://dx.doi.org/10.1088/1757-899x/322/7/072011.

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22

Bartelt, Christian, Thomas Fischer, Dirk Niebuhr, Andreas Rausch, Franz Seidl, and Marcus Trapp. "Dynamic integration of heterogeneous mobile devices." ACM SIGSOFT Software Engineering Notes 30, no. 4 (2005): 1–7. http://dx.doi.org/10.1145/1082983.1083085.

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23

McRUER, DUANE T. "Interdisciplinary interactions and dynamic systems integration." International Journal of Control 59, no. 1 (1994): 3–12. http://dx.doi.org/10.1080/00207179408923067.

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24

Parkin, B. L., P. J. Hellyer, R. Leech, and A. Hampshire. "Dynamic Network Mechanisms of Relational Integration." Journal of Neuroscience 35, no. 20 (2015): 7660–73. http://dx.doi.org/10.1523/jneurosci.4956-14.2015.

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25

Fernandes, Rui, Borges Gouveia, and Carlos Pinho. "Vertical integration moment in dynamic markets." Strategic Outsourcing: An International Journal 5, no. 2 (2012): 121–44. http://dx.doi.org/10.1108/17538291211257583.

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26

Fischer, Max, Eileen Kuehn, Manuel Giffels, Matthias Jochen Schnepf, Andreas Petzold, and Andreas Heiss. "Lightweight dynamic integration of opportunistic resources." EPJ Web of Conferences 245 (2020): 07040. http://dx.doi.org/10.1051/epjconf/202024507040.

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To satisfy future computing demands of the Worldwide LHC Computing Grid (WLCG), opportunistic usage of third-party resources is a promising approach. While the means to make such resources compatible with WLCG requirements are largely satisfied by virtual machines and containers technologies, strategies to acquire and disband many resources from many providers are still a focus of current research. Existing meta-schedulers that manage resources in the WLCG are hitting the limits of their design when tasked to manage heterogeneous resources from many diverse resource providers. To provide oppor
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27

Stecker, G. Christopher, Julie M. Stecker, Anna C. Diedesch, Nathan C. Higgins, and Sandra Da Costa. "Temporal integration of dynamic binaural events." Journal of the Acoustical Society of America 139, no. 4 (2016): 2210–11. http://dx.doi.org/10.1121/1.4950607.

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28

Yin, Carol, Shinsuke Shimojo, Cassandra Moore, and Stephen A. Engel. "Dynamic Shape Integration in Extrastriate Cortex." Current Biology 12, no. 16 (2002): 1379–85. http://dx.doi.org/10.1016/s0960-9822(02)01071-0.

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29

Montagnini, Anna, Pascal Mamassian, Laurent Perrinet, Eric Castet, and Guillaume S. Masson. "Bayesian modeling of dynamic motion integration." Journal of Physiology-Paris 101, no. 1-3 (2007): 64–77. http://dx.doi.org/10.1016/j.jphysparis.2007.10.013.

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30

Feth, Lawrence, Ashok Krishnamurthy, and Daniel Hack. "Auditory spectral integration of dynamic signals." Journal of the Acoustical Society of America 117, no. 4 (2005): 2423. http://dx.doi.org/10.1121/1.4786510.

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31

Arens, Yigal, Craig A. Knoblock, and Wei-Min Shen. "Query reformulation for dynamic information integration." Journal of Intelligent Information Systems 6, no. 2-3 (1996): 99–130. http://dx.doi.org/10.1007/bf00122124.

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32

HARIPRASAD MANDAVA. "Streamlining enterprise resource planning through digital technologies." World Journal of Advanced Engineering Technology and Sciences 12, no. 2 (2024): 719–25. http://dx.doi.org/10.30574/wjaets.2024.12.2.0334.

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This study explores dynamic adaptation and evolutionary frameworks within Enterprise Resource Planning (ERP) systems, presenting an advanced strategy to enhance system agility and responsiveness. It investigates how these frameworks empower ERP systems to adjust to evolving business requirements, technological advancements, and market dynamics. The discussion covers key elements such as adaptive algorithms, evolutionary architectures, and real-time integration. Case studies illustrate how dynamic adaptation improves ERP system scalability, performance, and user satisfaction. The study also add
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33

Medintsev, Vladislav A. "Integrative dynamics in psychological science." Yaroslavl Pedagogical Bulletin 4, no. 121 (2021): 76–87. http://dx.doi.org/10.20323/1813-145x-2021-4-121-76-87.

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The observed increase in the number of psychological research entails both the expansion and deepening of psychological knowledge, and the escalation of the theoretical and methodological problems of its systematization and practical application. The widely discussed problems of the theoretical foundations and methodology of psychological research, in generalized formulations, are reduced to a statement of the growing fragmentation and searching the foundations of the integration prospects for psychology. At the same time, there are problems that have not yet been given due attention, one of s
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34

Kubomura, K. "Transient Loads Analysis by Dynamic Condensation." Journal of Applied Mechanics 52, no. 3 (1985): 559–64. http://dx.doi.org/10.1115/1.3169101.

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This paper investigates an alternative finite-difference time-integration procedure in structural dynamics. The integral form of the equation of motion, instead of the differential form, is used to develop the finite-difference time-integration method. An expression called dynamic condensation is presented to relate the dynamic response and unknown force at a limited number of degrees of freedom. A stable and accurate method of analysis is derived to determine the transient loads of structural components in a structural system without constructing the system equation of motion.
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Gao, Qin He, and Xiang Yang Li. "Research on Dynamic Modelling and Simulation of Erection System of Mobile Equipment in Absolute Coordinates." Applied Mechanics and Materials 66-68 (July 2011): 2034–40. http://dx.doi.org/10.4028/www.scientific.net/amm.66-68.2034.

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This paper employed the theories of multibody system dynamics to analyze the multi-rigid-body model of erection system and build the general dynamic models in absolute coordinates. The impact theory of contact mechanics and nonlinear spring-damper force function were used to model the impact problems between rods of multi-stage hydraulic cylinder of erection system and educe the dynamic models of multi-rigid-body erection system with impact. An automatic violation correction method according to the step of integration time was given to solve the violation which is an incident problem in numeri
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Venkata Mohit Tamanampudi. "AI-Augmented Continuous Integration for Dynamic Resource Allocation." World Journal of Advanced Engineering Technology and Sciences 13, no. 1 (2024): 355–68. http://dx.doi.org/10.30574/wjaets.2024.13.1.0425.

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As the market for software development continues to grow and become increasingly saturated, integrating artificial intelligence into the continuous integration process provides a huge opportunity to optimize cloud resources. This paper discusses the development of AI models that can predict and further adjust the cloud resource in the CI phase based on the historical pipeline performance data and workload trends. With the help of LSTM networks and RL algorithms, the proposed models can optimize resource utilization, decrease costs, and avoid over-provisioning. The mentioned approach implies da
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37

Lin, Shawn H., Dacheng Zhao, Vivian Deng, et al. "Integration Host Factor Binds DNA Holliday Junctions." International Journal of Molecular Sciences 24, no. 1 (2022): 580. http://dx.doi.org/10.3390/ijms24010580.

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Integration host factor (IHF) is a nucleoid-associated protein involved in DNA packaging, integration of viral DNA and recombination. IHF binds with nanomolar affinity to duplex DNA containing a 13 bp consensus sequence, inducing a bend of ~160° upon binding. We determined that IHF binds to DNA Four-way or Holliday junctions (HJ) with high affinity regardless of the presence of the consensus sequence, signifying a structure-based mechanism of recognition. Junctions, important intermediates in DNA repair and homologous recombination, are dynamic and can adopt either an open or stacked conformat
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38

Shahzad, Muhammad Khurram, Sheraz Ahmed, and Farooq Anwar. "Market Orientation, Supply Chain Integration, and Marketing-Technical Integration: Antecedents of Competitive Advantage." Pakistan Business Review 26, no. 1 (2024): 86–103. http://dx.doi.org/10.22555/pbr.v26i1.1176.

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The study aims to investigate the role of knowledge-based dynamic capabilities in achieving competitive advantage. First, the study considers the firms’ important marketing and supply chain management capabilities and logically identifies market orientation, supply chain integration, and marketing-technical integration as knowledge-based dynamic capabilities, then empirically attempts to examine their role in achieving competitive advantage. A quantitative research design was utilized, and all constructs were directly measured using multi-item scales. Data was collected from 625 pharmaceutical
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39

Arsyad, Zulkifli. "Analisis Dynamic ETL Incremental Load untuk Data Integration Datawarehouse." INTERNAL (Information System Journal) 4, no. 2 (2021): 102–12. http://dx.doi.org/10.32627/internal.v4i2.260.

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Data integration is a combination of techniques and businesses that are used to collect data from different sources into useful and valuable information ETL process that includes extracting data from various data sources, transforming data to form and calculate data and load data on target storage, to support data warehouse need. Based on organizations and industries that have implemented data warehouse, the problem that generally arises regarding data load is the difficulty in integrating different data sources, how to form data from various data formats into uniform data, how to integrate da
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40

Tian, Fu Yang, Yu Dao Li, Zhen Wang, and Fa De Li. "Efficient Recursive Dynamics and Real Time Simulation of Flexible Space Robots System." Advanced Materials Research 842 (November 2013): 546–52. http://dx.doi.org/10.4028/www.scientific.net/amr.842.546.

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As space robots gain more and more importance in space operations, it was becoming imperative to understand their distinctive dynamics. The dynamics model of the space flexible robots is very complex, and the differential equation derived from dynamics was solved difficultly and slowly. In this paper the efficient recursive O(n) dynamics algorithm of space flexible robots systems with rigid base and flexible manipulators was discussed, and the fast efficient integration method was used to solve this dynamics equation for real time simulation. Simulations results show that the dynamic modeling
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41

Haval, Abhijeet Madhukar. "Integration of Nonlinear Dynamics in Blockchain Security Protocols." Advances in Nonlinear Variational Inequalities 26, no. 2 (2023): 94–109. http://dx.doi.org/10.52783/anvi.v26.i2.286.

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Because of its ability to completely revamp current blockchain security methods, this connection is crucial. An effective safeguard against complex assaults, Nonlinear Dynamics (ND) adds a living, breathing component to consensus methods and cryptographic primitives. There is an urgent need for creative, nonlinear methods to strengthen blockchain security in light of present challenges including increasing attack vectors and risks posed by quantum computing. The suggested Dynamic Chaos-based Blockchain Security (DC-BS) system in this paper makes use of the chaotic dynamics present in ND to str
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42

Tang, Jianhua, Linfang Qian, and Qiang Yin. "Numerical integration of rotation with geometry propagators." International Journal of Modeling, Simulation, and Scientific Computing 07, no. 03 (2016): 1650017. http://dx.doi.org/10.1142/s1793962316500173.

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Commutator free method is an effective method for solving rotating integration. Numerical examples show that the use of the proposed combining method can achieve the same order accuracy with less computation than other geometry integration method. However, it is difficult to be directly applied to mechanic dynamics solutions. In this paper, commutator free method which is often applied to rotation integration and classical Runge–Kutta (RK) method which is usually operated in Linear space are combined to solve the multi-body dynamic equations. The explicit Runge–Kutta coefficients are reconstru
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43

Karunan, Aparna R, Prof Smitha. "A Survey on Integration of Dynamic AES Encryption with Blockchain key management." International Journal of Research Publication and Reviews 6, no. 2 (2025): 1408–11. https://doi.org/10.55248/gengpi.6.0225.0753.

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44

Majewska, Elżbieta, and Joanna Olbryś. "The Evolution of Financial Integration on Selected European Stock Markets: a Dynamic Principal Component Approach." Comparative Economic Research. Central and Eastern Europe 20, no. 4 (2017): 45–63. http://dx.doi.org/10.1515/cer-2017-0027.

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The goal of this paper is to recognize the dynamics of financial integration across the European stock markets over the last two decades. We investigate two groups of markets: (1) three developed European markets in the U.K., France, and Germany; and (2) three emerging Central and Eastern European markets in Poland, the Czech Republic, and Hungary (CEE–3). The evolution of the integration process is analyzed using a dynamic principal component approach. The index of integration serves as a robust measure of integration. The empirical results reveal that the dynamics of integration across the w
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45

Zhong, Rui, Lin Yi, Xiarui Wang, Weijun Shu, and Liang Yue. "Bioinspired nucleic acid-based dynamic networks for signal dynamics." Chemical Synthesis 3, no. 3 (2023): 27. http://dx.doi.org/10.20517/cs.2023.15.

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Signaling dynamic networks in living systems determine the conversion of environmental information into biological activities. Systems chemistry, focusing on studying complex chemical systems, promotes the connections between chemistry and biology and provides a new way to mimic these signaling dynamic processes by designing artificial networks and understanding their emerging properties and functions that are absent in isolated molecules. Nucleic acids, while relatively simple in their design and synthesis, encode rich structural and functional information in their base sequence, which makes
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46

Liu, Fa-Gui, Jin-Biao Lin, Xiao-Yong Xing, Bin Wang, and Jun Lin. "Reinforcement Learning Integration in Dynamic Power Management." Journal of Applied Sciences 13, no. 14 (2013): 2682–87. http://dx.doi.org/10.3923/jas.2013.2682.2687.

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47

Oberoi, Ashish, Manish Arora, and Vikash Kumar Garg. "A novel approach for dynamic information integration." International Journal of Reasoning-based Intelligent Systems 13, no. 2 (2021): 76. http://dx.doi.org/10.1504/ijris.2021.10036806.

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48

Garg, Vikash Kumar, Ashish Oberoi, and Manish Arora. "A novel approach for dynamic information integration." International Journal of Reasoning-based Intelligent Systems 13, no. 2 (2021): 76. http://dx.doi.org/10.1504/ijris.2021.114633.

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49

Keierleber, C. W., and B. T. Rosson. "Higher-Order Implicit Dynamic Time Integration Method." Journal of Structural Engineering 131, no. 8 (2005): 1267–76. http://dx.doi.org/10.1061/(asce)0733-9445(2005)131:8(1267).

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50

Rose, Richard, and Gabriela Borz. "Static and Dynamic Views of European Integration." JCMS: Journal of Common Market Studies 54, no. 2 (2015): 370–87. http://dx.doi.org/10.1111/jcms.12295.

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