Journal articles: 'Process with memory'

1

Nickel, Luke. "Memory Piece: Memory as a Compositional Process." Leonardo Music Journal 27 (December 2017): 59–60. http://dx.doi.org/10.1162/lmj_a_01018.

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2

Nethercott, S. S., and N. O. Leighton. "Memory, Process, and Performance." Oral History Review 18, no. 2 (1990): 37–60. http://dx.doi.org/10.1093/ohr/18.2.37.

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3

Ratcliff, Roger, Trish Van Zandt, and Gail McKoon. "Process dissociation, single-process theories, and recognition memory." Journal of Experimental Psychology: General 124, no. 4 (1995): 352–74. http://dx.doi.org/10.1037/0096-3445.124.4.352.

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4

Belokoskova, Svetlana Georgiyevna, and Sergey Georgiyevich Tsikunov. "Neuropeptide vasopressin and memory process." Reviews on Clinical Pharmacology and Drug Therapy 12, no. 3 (2014): 3–12. http://dx.doi.org/10.17816/rcf1233-12.

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The contemporary information about participation of neuropeptide arginin-vasopressin and its receptors in memory processes in normal and pathology processes both in animals and human beings are present in this review. The own investigational results about influence of agonist of V2 receptors of vasopressin on verbal memory and learning at patients with stroke are added too.

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Shrivastava, Rahul, Prabhat Kumar, and Sudhakar Tripathi. "A Human Memory Process Modeling." Recent Patents on Engineering 14, no. 2 (2020): 179–93. http://dx.doi.org/10.2174/1872212113666190211145444.

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Background: The cognitive models based agents proposed in the existing patents are not able to create knowledge by themselves. They also did not have the inference mechanism to take decisions and perform planning in novel situations. Objective: This patent proposes a method to mimic the human memory process for decision making. Methods: The proposed model simulates the functionality of episodic, semantic and procedural memory along with their interaction system. The sensory information activates the activity nodes which is a binding of concept and the sensory values. These activated activity nodes are captured by the episodic memory in the form of an event node. Each activity node has some participation strength in each event depending upon its involvement among other events. Recalling of events and frequent usage of some coactive activity nodes constitute the semantic knowledge in the form of associations between the activity nodes. The model also learns the actions in context to the activity nodes by using reinforcement learning. The proposed model uses an energy-based inference mechanism for planning and decision making. Results: The proposed model is validated by deploying it in a virtual war game agent and analysing the results. The obtained results show that the proposed model is significantly associated with all the biological findings and theories related to memories. Conclusion: The implementation of this model allows humanoid and game agents to take decisions and perform planning in novel situations.

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Craver, Carl F. "Book review: The memory process." Memory Studies 8, no. 1 (2014): 117–24. http://dx.doi.org/10.1177/1750698014552935.

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7

Wilson, P. R., and T. G. Moher. "Demonic memory for process histories." ACM SIGPLAN Notices 24, no. 7 (1989): 330–43. http://dx.doi.org/10.1145/74818.74848.

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8

Peluso, Jennifer P. "Memory: systems, process or function?" Applied Cognitive Psychology 15, no. 3 (2001): 343–44. http://dx.doi.org/10.1002/acp.732.

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9

Kounios, John. "Process complexity in semantic memory." Journal of Experimental Psychology: Learning, Memory, and Cognition 19, no. 2 (1993): 338–51. http://dx.doi.org/10.1037/0278-7393.19.2.338.

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10

Mitchell, Melanie. "Human Memory: A Dynamical Process." Contemporary Psychology 48, no. 3 (2003): 326–27. http://dx.doi.org/10.1037/000805.

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11

Verde, Michael F., and Caren M. Rotello. "Memory strength and the decision process in recognition memory." Memory & Cognition 35, no. 2 (2007): 254–62. http://dx.doi.org/10.3758/bf03193446.

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12

Gao, Jie, Zhen-yuan Xu, and Li-ting Zhang. "Approximating long-memory DNA sequences by short-memory process." Physica A: Statistical Mechanics and its Applications 388, no. 17 (2009): 3475–85. http://dx.doi.org/10.1016/j.physa.2009.05.009.

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13

Souza, Alessandra S., and Klaus Oberauer. "Time to process information in working memory improves episodic memory." Journal of Memory and Language 96 (October 2017): 155–67. http://dx.doi.org/10.1016/j.jml.2017.07.002.

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14

Gerrard, Leslie L., and Douglas A. Waring. "Primary and Secondary Memory: Multistore versus Process Models of Memory." Perceptual and Motor Skills 102, no. 2 (2006): 368–78. http://dx.doi.org/10.2466/pms.102.2.368-378.

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15

AMEMIYA, Yuri, and Fumiaki TAKA. "A Retrieval process of Autobiographical Memory." Proceedings of the Annual Convention of the Japanese Psychological Association 74 (2010): 3EV069. http://dx.doi.org/10.4992/pacjpa.74.0_3ev069.

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16

IINO, Tsugio. "Memory of the AL-FIN Process." Journal of Japan Institute of Light Metals 41, no. 12 (1991): 866–67. http://dx.doi.org/10.2464/jilm.41.866.

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17

Blaxton, Teresa A. "A process-based view of memory." Journal of the International Neuropsychological Society 1, no. 1 (1995): 112–14. http://dx.doi.org/10.1017/s1355617700000187.

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18

Greenwood, Ashley. "Memory, forgetting and the reconciliation process." History and Anthropology 29, no. 5 (2018): 584–98. http://dx.doi.org/10.1080/02757206.2018.1528244.

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19

Cattuto, C., V. Loreto, and V. D. P. Servedio. "A Yule-Simon process with memory." Europhysics Letters (EPL) 76, no. 2 (2006): 208–14. http://dx.doi.org/10.1209/epl/i2006-10263-9.

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20

Chung, Ching-Fan. "Estimating a generalized long memory process." Journal of Econometrics 73, no. 1 (1996): 237–59. http://dx.doi.org/10.1016/0304-4076(95)01739-9.

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21

Hasson, Uri, Janice Chen, and Christopher J. Honey. "Hierarchical process memory: memory as an integral component of information processing." Trends in Cognitive Sciences 19, no. 6 (2015): 304–13. http://dx.doi.org/10.1016/j.tics.2015.04.006.

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22

Drachman, D. A. "Memory and the hippocampal complex. II: Is memory a multiple process?" Neurocase 2, no. 4 (1996): 259l—298. http://dx.doi.org/10.1093/neucas/2.4.259-l.

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23

Shahrin, Aidil Rizal. "Does the Forward Discount Represent a Long Memory Process or Short Memory Process with Multiple Changes in the Mean?" Jahrbücher für Nationalökonomie und Statistik 235, no. 6 (2015): 630–41. http://dx.doi.org/10.1515/jbnst-2015-0607.

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Summary This study aims to determine whether forward discount represents a long memory or short memory process with multiple changes in the mean. Based on the samples of six currencies from November 3, 1986, to March 6, 1998, using Baek and Pipiras’s (2012, 2014) statistical procedures, our findings suggest that forward discount is a short memory process with multiple changes in the mean rather than long memory. These changes in mean are the result of an intervention by monetary authorities in the forex market. Thus, earlier findings of long memory in forward discount, as reported in the extant literature, are questionable.

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24

Ponte, Filomena. "The Importance of Cognitive Styles: Dependence and Field Independence (DIC) in the Memory Process." Neuroscience and Neurological Surgery 8, no. 7 (2021): 01–04. http://dx.doi.org/10.31579/2578-8868/180.

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It is in the framework of a cognition orientation, or theory of information processing, that we seek the theoretical models that can best support us in the analysis of human cognitive functioning, specifically in the tasks of learning and problem solving.

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25

Rege, Sameer, and Samuel Gil Martín. "PORTUGUESE STOCK MARKET: A LONG-MEMORY PROCESS?" Business: Theory and Practice 12, no. 1 (2011): 75–84. http://dx.doi.org/10.3846/btp.2011.08.

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This paper gives a basic overview of the various attempts at modelling stochastic processes for stock markets with a specific application to the Portuguese stock market data. Long-memory dependence in the stock prices would completely alter the data generation process and econometric models not considering the long-range dependence would exhibit poor forecasting abilities. The Hurst exponent is used to identify the presence of long-memory or fractal behaviour of the data generation process for the daily returns to ascertain if the process follows a fractional brownian motion. Detrended fluctuation analysis (DFA) using linear and quadratic trends and the Geweke Porter-Hudak methods are applied to detect the presence of long-memory or persistence. We find that the daily returns exhibit a small amount of long memory and that the quadratic trend used in the DFA overestimates the value of the Hurst exponent. These findings are corroborated by the use of the Geweke Porter-Hudak method wherein the Hurst exponent is close to the DFA using the linear trend.

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26

Archibald, Robert R. "Memory and the Process of Public History." Public Historian 19, no. 2 (1997): 61–64. http://dx.doi.org/10.2307/3379144.

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27

Jones, Robert E., and Seshu B. Desu. "Process Integration for Nonvolatile Ferroelectric Memory Fabrication." MRS Bulletin 21, no. 6 (1996): 55–58. http://dx.doi.org/10.1557/s0883769400046091.

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The remanent-polarization states of ferroelectric capacitors have long been of interest for nonvolatile storage of digital data. A simple memory array can be formed by perpendicular rows and columns of conductors with a ferroelectric capacitor at each crosspoint. In the simplest geometry, these conductors also are the capacitor electrodes on either side of a ferroelectric layer. Each capacitor represents one bit of digital data. If a voltage of V0 is required to write a capacitor, then data can be written to a specific bit by applying V0/2 and –V0/2 to the appropriate row and column. Such ferroelectric memory arrays were constructed as early as the 1950s. However, due to the breath of the ferroelectric transition, they were not successful because during the write of a specific capacitor, the V0/2 voltage signals disturb the polarization in other capacitors. This is in contrast to the successful use of the analogous ferromagnetic crosspoint arrays, which are familiar as the core memories of early computer technology.

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28

Mildner, Judith N., and Diana I. Tamir. "Spontaneous Thought as an Unconstrained Memory Process." Trends in Neurosciences 42, no. 11 (2019): 763–77. http://dx.doi.org/10.1016/j.tins.2019.09.001.

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29

Bennaser, Mahmoud, Yao Guo, and Csaba Andras Moritz. "Data Memory Subsystem Resilient to Process Variations." IEEE Transactions on Very Large Scale Integration (VLSI) Systems 16, no. 12 (2008): 1631–38. http://dx.doi.org/10.1109/tvlsi.2008.2001299.

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30

Pearson, B., J. Raskevicius, P. M. Bays, Y. Pertzov, and M. Husain. "Working memory retrieval as a decision process." Journal of Vision 14, no. 2 (2014): 2. http://dx.doi.org/10.1167/14.2.2.

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31

Klimesch, Wolfgang, Roman Freunberger, and Paul Sauseng. "Oscillatory mechanisms of process binding in memory." Neuroscience & Biobehavioral Reviews 34, no. 7 (2010): 1002–14. http://dx.doi.org/10.1016/j.neubiorev.2009.10.004.

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32

Kozlovskiy, Stanislav A., Aleksandr V. Vartanov, Maria M. Pyasik, and Boris M. Velichkovsky. "The Cingulate Cortex and Human Memory Process." Psychology in Russia: State of Art 5, no. 1 (2012): 231. http://dx.doi.org/10.11621/pir.2012.0014.

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33

Haque, Shamsul, and Martin A. Conway. "Sampling the process of autobiographical memory construction." European Journal of Cognitive Psychology 13, no. 4 (2001): 529–47. http://dx.doi.org/10.1080/09541440125757.

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34

Duffy, Brian R., Pedro Freitas, and Michael Grinfeld. "Memory Driven Instability in a Diffusion Process." SIAM Journal on Mathematical Analysis 33, no. 5 (2002): 1090–106. http://dx.doi.org/10.1137/s0036141001388592.

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35

Bäuml, Karl-Heinz T., and Andreas Schlichting. "Memory retrieval as a self-propagating process." Cognition 132, no. 1 (2014): 16–21. http://dx.doi.org/10.1016/j.cognition.2014.03.007.

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36

Carlton, Lucyann, and Estelle Shane. "Solving Clinical Puzzles: Memory as Relational Process." Psychoanalytic Dialogues 23, no. 2 (2013): 230–42. http://dx.doi.org/10.1080/10481885.2013.772476.

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37

McKenna, Michael C. "Cloze procedure as a memory-search process." Journal of Educational Psychology 78, no. 6 (1986): 433–40. http://dx.doi.org/10.1037/0022-0663.78.6.433.

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38

Palutke, Ralph, Frank Block, Patrick Reichenberger, and Dominik Stripeika. "Hiding Process Memory Via Anti-Forensic Techniques." Forensic Science International: Digital Investigation 33 (July 2020): 301012. http://dx.doi.org/10.1016/j.fsidi.2020.301012.

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39

Radvansky, Gabriel A. "Event Segmentation as a Working Memory Process." Journal of Applied Research in Memory and Cognition 6, no. 2 (2017): 121–23. http://dx.doi.org/10.1016/j.jarmac.2017.01.002.

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40

WU, YanHong, YingYing WANG, and ZiJian ZHU. "The dynamic memory system: The encoding, consolidation and forgetting process of memory." Chinese Science Bulletin 61, no. 1 (2015): 12–19. http://dx.doi.org/10.1360/n972015-00653.

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41

Lin, Albert S., Sparsh Pratik, Jun Ota, et al. "A Process-Aware Memory Compact-Device Model Using Long-Short Term Memory." IEEE Access 9 (2021): 3126–39. http://dx.doi.org/10.1109/access.2020.3047491.

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42

Niziołek, Katarzyna. "ASSEMBLAGE OF MEMORY: ON THE STRUCTURE, PROCESS AND CREATIVITY IN COLLECTIVE MEMORY." Creativity Studies 14, no. 1 (2021): 271–94. http://dx.doi.org/10.3846/cs.2021.12290.

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The article is aimed at presenting and discussing the theoretical concept of assemblage of memory inspired by and grounded in the creative work done in connection with social research within the framework of participatory theatre. Based on three projects of this kind that I have collaborated on over the last couple of years, all taking memory as their theme, The Method of National Constellations (2014–2016), Prayer: A Common Theatre (2016–2017), and Bieżenki (2018), the concept draws both on artistic, and sociological thinking. An assemblage of memory could be roughly described as a product of creativity, which is constructed using “found” materials, such as stories, images, emotions, behaviours, objects, people even, to compose a new meaningful entity. This is congruent with what became to be known as the assemblage theory, started by Gilles Deleuze and Félix Guattari, who suggested that social phenomena, such as collective memory, one could add, should be viewed as dynamic and heterogeneous arrangements of a variety of elements, material and immaterial, natural and artificial, human and non-human, that are dependent on the connections between them rather than their intrinsic qualities. Thus, an assemblage of memory cannot be accessed through text-oriented methodologies that still seem to predominate the humanities (with its focus on the witness and testimony), but requires innovative, creative procedures, which, as exemplified by the above mentioned theatrical projects, are capable of revealing its structure and dynamics.

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43

Mizuno, Akira. "Process Model for Simultaneous Interpreting and Working Memory." Volet interprétation 50, no. 2 (2005): 739–52. http://dx.doi.org/10.7202/011015ar.

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AbstractThis paper attempts to combine interpreting studies with working memory research and propose a theoretical framework for the process model of simultaneous interpreting. First, the embedded model of working memory by Cowan is introduced as the most promising model to account for various phenomena of simultaneous interpreting. This is followed by a description of the functions of components of the model and the nature of information maintained in the working memory. The model then is applied to a small corpus of simultaneous interpreting in an attempt to explain the load-reduction strategies employed by interpreters who perform simultaneous interpreting between Japanese and English and the translation failures due to overloading of the working memory.

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44

Kawanaka, A., and A. Gonzaga. "Wavelet-based Estimation of Generalized Fractional Process." Methods of Information in Medicine 46, no. 02 (2007): 117–20. http://dx.doi.org/10.1055/s-0038-1625393.

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Summary Objectives : This paper aims to propose an estimation procedure for the parameters of a generalized fractional process, a fairly general model of long-memory applicable in modeling biomedical signals whose autocorrelations exhibit hyperbolic decay. Methods : We derive a wavelet-based weighted least squares estimator of the long-memory parameter based on the maximal-overlap estimator of the wavelet variance. Short-memory parameters can then be estimated using standard methods. We illustrate our approach by an example applying ECG heart rate data. Results and Conclusion : The proposed method is relatively computationally and statistically efficient. It allows for estimation of the long-memory parameter without knowledge of the short-memory parameters. Moreover it provides a more general model of biomedical signals that exhibit periodic long-range dependence, such as ECG data, whose relatively unobtrusive recording may be advantageous in assessing or predicting some physiological or pathological conditions from the estimated values of the parameters.

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45

MATSUMOTO, KAZUHIKO. "ROOM-TEMPERATURE SINGLE ELECTRON DEVICES BY SCANNING PROBE PROCESS." International Journal of High Speed Electronics and Systems 10, no. 01 (2000): 83–91. http://dx.doi.org/10.1142/s0129156400000118.

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A single electron transistor (SET) and a single electron memory were fabricated using the improved pulse-mode AFM nano-oxidation process. A single electron transistor which works as an electrometer for detecting the potential of the memory node of the single electron memory showed clear Coulomb oscillation characteristics with the period of 2.1 V at room temperature. A single electron memory exhibited a hysteresis loop as the memory bias was scanned from 0 to 10 V and then back down to 0 V.

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46

Shmavonyan, Gayane, and Lili Karapetyan. "The Significance of Memory in the Teaching/Learning Process." Armenian Folia Anglistika 7, no. 1 (8) (2011): 81–85. http://dx.doi.org/10.46991/afa/2011.7.1.081.

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The role of memory as part of a person’s mental activity has long been recognized by psychologists, methodologists and teachers as one of the basic elements of learning and teaching. It has been right in the center of the teaching/learning process. Thus, an effective and efficient memory is of paramount importance for students as memory techniques can facilitate and improve the teaching/learning process. In the present paper the authors suggest some strategies and techniques that will undoubtedly go a long way in helping learners improve their memory in terms of encoding, storing and retrieving information.

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47

Slotnick, Scott D., and Chad S. Dodson. "Support for a continuous (single-process) model of recognition memory and source memory." Memory & Cognition 33, no. 1 (2005): 151–70. http://dx.doi.org/10.3758/bf03195305.

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48

현주석. "Properties of Visual Working Memory Representations as Examined by Memory-Perception Comparison Process." Korean Journal of Cognitive and Biological Psychology 21, no. 4 (2009): 265–82. http://dx.doi.org/10.22172/cogbio.2009.21.4.002.

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49

Fan, Pengxuan, Wujun Chen, Bing Zhao, et al. "Formulation and numerical implementation of tensile shape memory process of shape memory polymers." Polymer 148 (July 2018): 370–81. http://dx.doi.org/10.1016/j.polymer.2018.06.054.

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50

Kim, Sung Hyun, Kyoung Soo Yook, Jyongsik Jang, and Jun Yeob Lee. "Correlation of memory characteristics of polymer bistable memory devices with metal deposition process." Synthetic Metals 158, no. 21-24 (2008): 861–64. http://dx.doi.org/10.1016/j.synthmet.2008.06.004.

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Journal articles on the topic 'Process with memory'

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