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Статті в журналах з теми "Order of event"

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Автор: Grafiati

Опубліковано: 14 березня 2023

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1

Birs, Isabela, Ioan Nascu, Clara Ionescu, and Cristina Muresan. "Event-based fractional order control." Journal of Advanced Research 25 (September 2020): 191–203. http://dx.doi.org/10.1016/j.jare.2020.06.024.

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2

Nason, Paolo, and Bryan Webber. "Next-to-Leading-Order Event Generators." Annual Review of Nuclear and Particle Science 62, no. 1 (November 23, 2012): 187–213. http://dx.doi.org/10.1146/annurev-nucl-102711-094928.

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3

Bohnemeyer, Jürgen. "Event order in language and cognition." Linguistics in the Netherlands 17 (November 28, 2000): 1–16. http://dx.doi.org/10.1075/avt.17.04boh.

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4

Nakamuraa, T. "Measurement of event-by-event fluctuations and order parameters in PHENIX." Nuclear Physics A 774 (August 2006): 627–30. http://dx.doi.org/10.1016/j.nuclphysa.2006.06.101.

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5

ZHOU, YOU, KEJUN WU, and FENG LIU. "EVENT-BY-EVENT FLUCTUATIONS OF NET-BARYON DISTRIBUTION AND HIGHER ORDER CUMULANTS." International Journal of Modern Physics E 19, no. 08n09 (September 2010): 1866–72. http://dx.doi.org/10.1142/s0218301310016314.

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We analyze fluctuations of net baryon distribution as well as its higher order cumulants, the 2rd order(c2), 4th order cumulants(c4) and other variant high order cumulants like Skewness, Kurtosis, R4,2 as a function of the collision centrality. At the same time, we study the results of transverse momentum and rapidity cut effects of all observables. We argue that Skewness and Kurtosis are promising observables in experiments considering to their independence of acceptance. Beam energy dependences of Skewness and Kurtosis have been studied, these works provide baseline predictions for the forthcoming RHIC Beam Energy Scan program.

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6

Delias, Pavlos, and Ioannis Kazanidis. "Exploiting higher-order dependencies for process analytics." Kybernetes 49, no. 4 (July 18, 2019): 1253–66. http://dx.doi.org/10.1108/k-09-2018-0500.

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Purpose The purpose of this paper is to present a methodology to reveal complex events structures in events’ occurrences by analyzing event databases, targeting to systematizing events’ analysis and surpassing the need for idiographic approaches. Design/methodology/approach A process-oriented point of view is enabled by purposeful data transformations, and higher-order dependencies are discovered and exploited to capture the flows among the events. Findings Political events do not follow a linear movement that is implied by a sequence, but they occur in varying patterns that cannot be reflected accurately when assuming only first-order dependencies. Originality/value The methodology suggests a novel way to look and to analyze raw event data and it offers an accessible, practicable and supplementary tool as it does not disturb any of the established relevant research designs, and it does not require any additional data to be applied.

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7

Guan, Yongtao. "Second-Order Analysis of Semiparametric Recurrent Event Processes." Biometrics 67, no. 3 (March 1, 2011): 730–39. http://dx.doi.org/10.1111/j.1541-0420.2011.01557.x.

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8

Rong, Jifang, Yiwu Ma, Meng Xu, and Hua Yang. "Interactions of the second-order solitons with an external probe pulse in the optical event horizon." Chinese Optics Letters 20, no. 11 (2022): 111901. http://dx.doi.org/10.3788/col202220.111901.

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9

Grabot, Laetitia, and Virginie van Wassenhove. "Time Order as Psychological Bias." Psychological Science 28, no. 5 (March 24, 2017): 670–78. http://dx.doi.org/10.1177/0956797616689369.

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Incorrectly perceiving the chronology of events can fundamentally alter people’s understanding of the causal structure of the world. For example, when astronomers used the “eye and ear” method to locate stars, they showed systematic interindividual errors. In the current study, we showed that temporal-order perception may be considered a psychological bias that attention can modulate but not fully eradicate. According to Titchener’s law of prior entry, attention prioritizes the perception of an event and thus can help compensate for possible interindividual differences in the perceived timing of an event by normalizing perception in time. In a longitudinal study, we tested the stability of participants’ temporal-order perception across and within sensory modalities, together with the magnitude of the participants’ prior-entry effect. All measurements showed the persistence of stable interindividual variability. Crucially, the magnitude of the prior-entry effect was insufficient to compensate for interindividual variability: Conscious time order was systematically subjective, and therefore traceable on an individual basis.

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10

Hu, Jiangping, Yulong Zhou, and Yunsong Lin. "Second-Order Multiagent Systems with Event-Driven Consensus Control." Abstract and Applied Analysis 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/250586.

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Event-driven control scheduling strategies for multiagent systems play a key role in future use of embedded microprocessors of limited resources that gather information and actuate the agent control updates. In this paper, a distributed event-driven consensus problem is considered for a multi-agent system with second-order dynamics. Firstly, two kinds of event-driven control laws are, respectively, designed for both leaderless and leader-follower systems. Then, the input-to-state stability of the closed-loop multi-agent system with the proposed event-driven consensus control is analyzed and the bound of the inter-event times is ensured. Finally, some numerical examples are presented to validate the proposed event-driven consensus control.

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11

Landgraf, Steffen, Susanne Raisig, and Elke van der Meer. "Discerning Temporal Expectancy Effects in Script Processing: Evidence from Pupillary and Eye Movement Recordings." Journal of the International Neuropsychological Society 18, no. 2 (January 23, 2012): 351–60. http://dx.doi.org/10.1017/s1355617711001809.

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AbstractAccessing the temporal position of events (early or late in the event sequence) can influence the generation of predictions about upcoming events. However, it is unclear how the temporal position is processed strategically. To investigate this, we presented event pairs to 23 healthy volunteers manipulating temporal order (chronological, inverse) and temporal position (early, late). Pupil dilation, eye movements, and behavioral data, showed that chronological and early event pairs are processed with more ease than inverse and late event pairs. Indexed by the pupillary response late events and inversely presented event pairs elicited greater cognitive processing demands than early events and chronologically presented event pairs. Regarding eye movements, fixation duration was less sensitive to temporal position than to temporal order. Looking at each item of the event sequence only once was behaviorally more effective than looking multiple times at each event regardless of whether temporal position or temporal order was processed. These results emphasize that accessing temporal position and temporal order information results in dissociable behavioral patterns. While more cognitive resources are necessary for processing late and inverse items, change of information acquisition strategies turns out to be most effective when temporal order processing is required. (JINS, 2012,18, 351–360)

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12

Vanek, Norbert, and Barbara Mertins. "Defying chronology: Crosslinguistic variation in reverse order reports." Linguistics 58, no. 2 (April 26, 2020): 569–603. http://dx.doi.org/10.1515/ling-2019-0006.

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AbstractMuch of how we sequence events in speech mirrors the order of their natural occurrence. While event chains that conform to chronology may be easier to process, languages offer substantial freedom to manipulate temporal order. This article explores to what extent digressions from chronology are attributable to differences in grammatical aspect systems. We compared reverse order reports (RORs) in event descriptions elicited from native speakers of four languages, two with (Spanish, Modern Standard Arabic [MSA]) and two without grammatical aspect (German, Hungarian). In the Arabic group, all participants were highly competent MSA speakers from Palestine and Jordan. Standardized frequency counts showed significantly more RORs expressed by non-aspect groups than by aspect groups. Adherence to chronology changing as a function of contrast in grammatical aspect signal that languages without obligatory marking of ongoingness may provide more flexibility for event reordering. These findings bring novel insights about the dynamic interplay between language structure and temporal sequencing in the discourse stream.

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13

Li, Fuyin Thomas. "Evolutionary order of macro-events in Mandarin." Review of Cognitive Linguistics 17, no. 1 (August 20, 2019): 155–86. http://dx.doi.org/10.1075/rcl.00030.li.

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Abstract This article aims to explore the evolutionary order of the five types of macro-event in Mandarin. As a methodology, a closed corpus is set up for five historical stages. The following is concluded: (1) The “V+C” constructions representing a macro-event started to appear from Stage III and continued to be used until the present stage; (2) The “V+C” constructions can only represent four out of five types of Talmy’s macro-event, and action correlating is not systematically represented; (3) The four types of macro-event appeared at a relatively similar time period, and their proportion is: Motion > State change > Temporal > Realization; (4) Verbs with PATH meaning in the V2 slot are more prone to grammaticalization than in the V1 in the serial verb construction “V1+V2”. This research is significant in bridging the areas of event structure, grammaticalization and typology, and might have implications for other languages as well.

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14

Khudoyberdiev, Abdurashid. "GENERAL ACTION OF THE NATIONAL GUARD UNITS WITH THE LAW ENFORCEMENT AGENCIES IN MAINTAINING PUBLIC ORDER DURING PUBLIC EVENTS." American Journal of Political Science Law and Criminology 04, no. 02 (February 1, 2022): 69–73. http://dx.doi.org/10.37547/tajpslc/volume04issue02-12.

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The article proposes to make additional amendments to some legislative acts in order to further improve the organization and conduct of mass events, strengthen measures to ensure the safety of citizens and public order during their conduct, ensure the legality of the actions of internal affairs bodies and the National Guard during their conduct on the basis of laws and other established normative legal acts. The general concept of a mass event is defined by the author as socio-political conferences, congresses, cultural and entertainment programs of musical, literary and other festivals, concert, theater, sports, advertising events, folk festivals, circus, national performances and games with the participation of 100 or more people, as well as the participation of citizens organized at the venue of a mass event in order to hold national, religious, professional holidays.

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15

Xu, Bingrui, and Bing Li. "Event-Triggered State Estimation for Fractional-Order Neural Networks." Mathematics 10, no. 3 (January 21, 2022): 325. http://dx.doi.org/10.3390/math10030325.

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This paper is concerned with the problem of event-triggered state estimation for a class of fractional-order neural networks. An event-triggering strategy is proposed to reduce the transmission frequency of the output measurement signals with guaranteed state estimation performance requirements. Based on the Lyapunov method and properties of fractional-order calculus, a sufficient criterion is established for deriving the Mittag–Leffler stability of the estimation error system. By making full use of the properties of Caputo operator and Mittag–Leffler function, the evolution dynamics of measured error is analyzed so as to exclude the unexpected Zeno phenomenon in the event-triggering strategy. Finally, two numerical examples and simulations are provided to show the effectiveness of the theoretical results.

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16

MacAyeal, D. R. "A low-order model of the Heinrich Event Cycle." Paleoceanography 8, no. 6 (December 1993): 767–73. http://dx.doi.org/10.1029/93pa02201.

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17

Fuhrman, Robert W., and Robert S. Wyer. "Event memory: Temporal-order judgments of personal life experiences." Journal of Personality and Social Psychology 54, no. 3 (1988): 365–84. http://dx.doi.org/10.1037/0022-3514.54.3.365.

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18

Mutschler, Christopher, and Michael Philippsen. "Adaptive Speculative Processing of Out-of-Order Event Streams." ACM Transactions on Internet Technology 14, no. 1 (July 15, 2014): 1–24. http://dx.doi.org/10.1145/2633686.

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19

Nishimura, Yukika, Koji Sugisaki, Noriko Hattori, Yasushi Inokuchi, Masayuki Komachi, Yoshihiro Nishimura, Mariko Ogawa, et al. "An event-related fNIRS investigation of Japanese word order." Experimental Brain Research 202, no. 1 (December 25, 2009): 239–46. http://dx.doi.org/10.1007/s00221-009-2113-x.

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20

Byrne, Áine, John Rinzel, and Amitabha Bose. "Order-indeterminant event-based maps for learning a beat." Chaos: An Interdisciplinary Journal of Nonlinear Science 30, no. 8 (August 2020): 083138. http://dx.doi.org/10.1063/5.0013771.

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21

Abam, Mohammad Ali, Pankaj K. Agarwal, Mark de Berg, and Hai Yu. "Out-of-Order Event Processing in Kinetic Data Structures." Algorithmica 60, no. 2 (November 3, 2009): 250–73. http://dx.doi.org/10.1007/s00453-009-9335-y.

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22

Rajan, R., and R. Agrawal. "Second-order properties of families of discrete-event systems." IEEE Transactions on Automatic Control 40, no. 2 (1995): 261–71. http://dx.doi.org/10.1109/9.341790.

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23

Tiberi, Ubaldo, José Araújo, and Karl Henrik Johansson. "On event-based PI control of first-order processes." IFAC Proceedings Volumes 45, no. 3 (2012): 448–53. http://dx.doi.org/10.3182/20120328-3-it-3014.00076.

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24

Vastenius, Anu, Jordan Zlatev, and Joost Van de Weijer. "Cognitive and semiotic determinants of sign order in gestural and pictorial event representations." Theoria et Historia Scientiarum 18 (January 4, 2023): 69–92. http://dx.doi.org/10.12775/ths.2021.004.

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The way people order signs in non-verbal event representations of events has been a topic of extensive research in recent decades, with conflicting findings. Based on a literature review, we distinguish the following factors that have been argued to influence sign order: (a) diagrammatic iconicity, (b) manipulation vs. construction events, (c) reversibility, (d) most common word order of L1, (e) the semiotic system (gesture, depiction) used, and (f) a putative “natural” Agent–Patient–Act order. To test the role of these factors, we conducted a study where Swedish participants observed events that varied with respect to reversibility and construction/manipulation status, and then had to communicate them to an addressee using gestures for half the stimuli. For the other half, they used sequences of simple drawings of the event participants and the action. The results showed the huge influence of the semiotic system (e) on sign order. There was a role of reversibility (c) only when gestures were used, while L1 word order (d) only had an effect when sequences of pictures were used. The “ontological status” of the Patient (b) was shown to affect the representations in both semiotic systems but was much stronger for gestures. Even the two most general factors (a) and (f) where shown to be sensitive to the type of semiotic system. Future studies of how such cognitive and semiotic determinants interact are needed to fully understand the phenomenon of sign order preference.

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25

Cao, Mengtao, Feng Xiao, and Long Wang. "Event-Based Second-Order Consensus Control for Multi-Agent Systems via Synchronous Periodic Event Detection." IEEE Transactions on Automatic Control 60, no. 9 (September 2015): 2452–57. http://dx.doi.org/10.1109/tac.2015.2390553.

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26

Kotvitska, A. A., and O. Yu Yakovlieva. "The study of the theoretical approaches to the event management in order to form the brand of a higher education institution." Social Pharmacy in Health Care 7, no. 2 (June 11, 2021): 4–9. http://dx.doi.org/10.24959/sphhcj.21.225.

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Aim. To study the features of the events held by the institution of higher education and their impact on the formation of a positive image of the institution. Materials and methods. The following research methods were applied: theoretical (analysis and synthesis of scientific literature and normative sources, generalization, classification, analytical, comparative and logical), empirical (description, comparison). The scientific data and normative documents concerning events and the system of branding formation of a higher education institution were used. Results. The study of scientific papers on the event management and event marketing has been conducted. The meaning of the concept of “event” has been defined. The goals and objectives of events held in the educational space have been formulated. The types of events have been studied. The main types, content and examples of events that are advisable to hold in a higher education institution are given: informational, scientific, festive, socio-cultural, image-making. Such criteria for classification of events as openness of events, the number of the audience involved, types of the tasks performed, goals of the event, the audience involved and directions of work of a higher education institution have been proposed. The principles of a “successful event” of a higher education institution have been defined. The stages of organizing events of a higher education institution have been proposed. The expediency of conducting a survey after the event has been determined in order to identify the advantages and disadvantages of the event, form the purpose of attending the event by different participants, improve the quality of events and determine the impact on the image of the institution. Conclusions. The stages of the event management in higher education institutions have been suggested. The meaning of events has been defined; their objectives, tasks and classification, have been determined. The principles of the event organization, factors that determine the effectiveness of events and the advantages of events as marketing communication tools have been formed.

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27

Andersson Cederholm, Erika, and Patrik Hall. "Performing ambiguous policy: How innovation events simultaneously perform change and collaborative order." Sociological Review 68, no. 6 (December 19, 2019): 1403–19. http://dx.doi.org/10.1177/0038026119895219.

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The aim of this article is to analyse how innovation policy is staged and legitimised through the dramatised social process of an event. The context is taken from an annual event, Skåne Innovation Week, which is arranged by the regional innovation system in Skåne, Sweden. Innovation systems often organise similar events internationally, which appear to play a key role in performing inter-organisational collaboration between actors from the public sector, industry and research, as well as manifesting belief in the globalised imaginaries of innovation systems. Through the analytical lens of the event as a social drama, the article examines how the event – and thus, innovation policy – is represented in commemorative films and website documents through which three meeting practices are identified: mingling and hanging out, scripted meeting models and spatial staging. The article argues that these meeting practices and their performed interactive social forms sustain the vagueness and ambiguity inherent in innovation policy, particularly between stability and change. The event can be viewed as a form of performative government that maintains a political order while simultaneously hailing its practices as transformative.

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28

KATSIRI, ELEFTHERIA, JEAN BACON, and ALAN MYCROFT. "LINKING TEMPORAL FIRST ORDER LOGIC AND HIDDEN MARKOV MODELS WITH ABSTRACT EVENTS." International Journal on Artificial Intelligence Tools 19, no. 06 (December 2010): 857–93. http://dx.doi.org/10.1142/s0218213010000443.

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In previous work, we introduced a novel concept of a generalised event, an abstract event, which we define as a change of state of abstract predicates that represent knowledge about the surrounding world. Abstract predicates are defined by formulae in temporal first-order logic (Abstract Event Specification Language (AESL)) whose leaf predicates represent low-level sensor-derived knowledge. Abstract events are detected by Rete Networks structured as a deductive knowledge-base. Current Abstract Event detectors cannot express sufficiently well certain high-level situations, such activity derived from user trajectories. In this work we introduce a novel type of abstract event detector, a hidden Markov Model detector (hMM-detector). hMM-detectors are implemented as pattern recognition engines that use several stochastic models, hidden Markov Models (hMMs), in order to classify observed activities to the most likely activity class. We link hMM-detectors with AESL by specifying a new AESL operator for defining hMM-based Abstract Events, thus increasing AESL's expressive power. We describe the experimental evaluation of the above work that was carried out at the University of Cambridge. hMM-Detectors were trained and tested with real data from the Active BAT location system. We evaluate the expressiveness of the enhanced AESL by discussing three case studies in healthcare that relate to continuous monitoring of elderly or injured patients. We demonstrate that AESL can be used in order to improve the dependability of continuous monitoring of patients and the provision of high-quality healthcare.

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29

Segura, Susana, Pablo Fernandez-Berrocal, and Ruth M. J. Byrne. "Temporal and causal order effects in thinking about what might have been." Quarterly Journal of Experimental Psychology Section A 55, no. 4 (October 2002): 1295–305. http://dx.doi.org/10.1080/02724980244000125.

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When people think counterfactually about what might have been different for a sequence of events, they are influenced by the order in which the events occurred. They tend to mentally undo the most recent event in a temporal sequence of two events. But they tend to mentally undo the first event in a causal sequence of four events. We report the results of two experiments that show that the temporal and causal order effects are not dependent on the number of events in the sequence. Our first experiment, with 300 participants, shows that the temporal order effect occurs for sequences with four events as well as for sequences with two events. Our second experiment, with 372 participants, shows that the causal order effect occurs for sequences with two events as well as for sequences with four events. We discuss the results in terms of the mental representations that people construct of temporal and causal sequences.

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30

van der Meer, Elke, Frank Krüger, and Antje Nuthmann. "The Influence of Temporal Order Information in General Event Knowledge on Language Comprehension." Zeitschrift für Psychologie / Journal of Psychology 213, no. 3 (July 2005): 142–51. http://dx.doi.org/10.1026/0044-3409.213.3.142.

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Abstract. The coding of chronological order of real-life events, that is, “time’s arrow” in general event knowledge and its access in language comprehension was investigated with two relatedness judgment tasks. The temporal orientation (chronological or reverse) and the stimulus onset asynchrony (SOA; 200/250 ms or 1,000 ms) between preinformation and target were manipulated. The first experiment examined highly familiar sequences of events (e.g., lighting-burning-extinguishing) with the same strength of temporal relatedness for preceding and succeeding events. The second experiment investigated individual events. The results show that time’s arrow is not restricted to sequences of events, but is also embedded in the mental representation of individual events. The preferred temporal orientation in favor of future time is not only coded by a higher association strength between mental event representations, but also by expectancy based selection processes. The results support Barsalou’s model of perceptual symbol systems ( 1999 ).

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31

Kitazawa, Masakiyo, Masayuki Asakawa, and Hirosato Ono. "Non-equilibrium time evolution of higher order cumulants of conserved charges and event-by-event analysis." Physics Letters B 728 (January 2014): 386–92. http://dx.doi.org/10.1016/j.physletb.2013.12.008.

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32

Maliuta, Liudmyla, Roman Sherstiuk, and Halyna Ostrovska. "Event Management in Tourism Industry." Central Ukrainian Scientific Bulletin. Economic Sciences, no. 6(39) (2021): 220–30. http://dx.doi.org/10.32515/2663-1636.2021.6(39).220-230.

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Анотація:

In a knowledge-based economy, the most important issues of modernity areas development – event management become especially relevant. Current trends in the development of such socio-economic activity areas as event management is directly represented in the practice of event tourism, within which the creation, planning, conduction and event management. In order to manage a modern system of event tourism, event management is called to summarize the existing experience, give practical recommendations taking into account the specifics of various events, as well as improving this system of relations. Event management becomes an innovative tool for achieving the goals of the organization at its all operation stages. It is also worthily to note the importance of using event management technologies in the formation of a positive organization image, corporate culture and increase its competitiveness in the market. The article highlights the scientific approaches to the interpretation of the category "event management" according to certain criteria and characteristics. The author's definition of the categories essences "tourism industry" and "event management" is given. It is proved that event tourism is a fast-growing industry, which in recent years occupies a dominant position in the general classification of tourism. The potential of event management in the tourism industry is revealed. The system of organization and event-management carrying out in the world practice is investigated and recommendations concerning its application in Ukrainian realities are substantiated. The state of event management in Ukraine is analyzed and perspective directions of its development within the tourist business are outlined. The practical significance of the obtained results is manifested in their usefulness for optimizing the event managers’ work in the process of creating, planning, organizing and conducting events, as well as for improving and increasing the efficiency of existing technologies in the event organization field. In addition, they contribute to the clarification of "event management" concept in Ukrainian scientific community. Prospects for further research are to develop the basic processes of event management, which form its essence.

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33

Li, Yan, Tingjian Ge, and Cindy Chen. "Data stream event prediction based on timing knowledge and state transitions." Proceedings of the VLDB Endowment 13, no. 10 (June 2020): 1779–92. http://dx.doi.org/10.14778/3401960.3401973.

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Анотація:

We study a practical problem of predicting the upcoming events in data streams using a novel approach. Treating event time orders as relationship types between event entities, we build a dynamic knowledge graph and use it to predict future event timing. A unique aspect of this knowledge graph embedding approach for prediction is that we enhance conventional knowledge graphs with the notion of "states"---in what we call the ephemeral state nodes---to characterize the state of a data stream over time. We devise a complete set of methods for learning relevant events, for building the event-order graph stream from the original data stream, for embedding and prediction, and for theoretically bounding the complexity. We evaluate our approach with four real world stream datasets and find that our method results in high precision and recall values for event timing prediction, ranging between 0.7 and nearly 1, significantly outperforming baseline approaches. Moreover, due to our choice of efficient translation-based embedding, the overall throughput that the stream system can handle, including continuous graph building, training, and event predictions, is over one thousand to sixty thousand tuples per second even on a personal computer---which is especially important in resource constrained environments, including edge computing.

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34

Tan, Hailian, Jianwei Wu, and Haibo Bao. "Event-triggered impulsive synchronization of fractional-order coupled neural networks." Applied Mathematics and Computation 429 (September 2022): 127244. http://dx.doi.org/10.1016/j.amc.2022.127244.

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Zhou, Chunjie, Pengfei Dai, Zhenxing Zhang, and Tong Liu. "Interval-Based Out-of-Order Event Processing in Intelligent Manufacturing." Journal of Intelligent Learning Systems and Applications 10, no. 02 (2018): 21–35. http://dx.doi.org/10.4236/jilsa.2018.102002.

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36

Lamparter, Steffen, Christoph Legat, Raffaello Lepratti, Joachim Scharnagl, and Lars Jordan. "Event-based Reactive Production Order Scheduling for Manufacturing Execution Systems*." IFAC Proceedings Volumes 44, no. 1 (January 2011): 2722–30. http://dx.doi.org/10.3182/20110828-6-it-1002.02054.

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37

Ruusuvirta, Timo, and Heikki Hämäläinen. "Human Event-Related Potentials to Higher-Order Acoustic Spatial Changes." Journal of Psychophysiology 16, no. 2 (January 2002): 114–18. http://dx.doi.org/10.1027//0269-8803.16.2.114.

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Abstract Human event-related potentials (ERPs) to a tone continuously alternating between its two spatial loci of origin (middle-standards, left-standards), to repetitions of left-standards (oddball-deviants), and to the tones originally representing these repetitions presented alone (alone-deviants) were recorded in free-field conditions. During the recordings (Fz, Cz, Pz, M1, and M2 referenced to nose), the subjects watched a silent movie. Oddball-deviants elicited a spatially diffuse two-peaked deflection of positive polarity. It differed from a deflection elicited by left-standards and commenced earlier than a prominent deflection of negative polarity (N1) elicited by alone-deviants. The results are discussed in the context of the mismatch negativity (MMN) and previous findings of dissociation between spatial and non-spatial information in auditory working memory.

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38

Xie, Duosi, Shengyuan Xu, Yun Zou, and Ze Li. "Event-triggered consensus control for second-order multi-agent systems." IET Control Theory & Applications 9, no. 5 (March 19, 2015): 667–80. http://dx.doi.org/10.1049/iet-cta.2014.0219.

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39

Dickson, Bradley M., Dmitrii E. Makarov, and Graeme Henkelman. "Pitfalls of choosing an order parameter for rare event calculations." Journal of Chemical Physics 131, no. 7 (August 21, 2009): 074108. http://dx.doi.org/10.1063/1.3204008.

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40

Zhou, Chunjie, Xiaofeng Meng, and Yueguo Chen. "Out-of-order durable event processing in integrated wireless networks." Pervasive and Mobile Computing 7, no. 5 (October 2011): 595–610. http://dx.doi.org/10.1016/j.pmcj.2010.11.010.

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Yu, Mei, Hangfei Wang, Guangming Xie, and Kaiqi Jin. "Event-triggered circle formation control for second-order-agent system." Neurocomputing 275 (January 2018): 462–69. http://dx.doi.org/10.1016/j.neucom.2017.08.061.

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42

Goodman, I. R., and H. T. Nguyen. "Probability updating using second order probabilities and conditional event algebra." Information Sciences 121, no. 3-4 (December 1999): 295–347. http://dx.doi.org/10.1016/s0020-0255(99)00089-4.

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van der Aa, Han, Henrik Leopold, and Matthias Weidlich. "Partial order resolution of event logs for process conformance checking." Decision Support Systems 136 (September 2020): 113347. http://dx.doi.org/10.1016/j.dss.2020.113347.

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44

Konur, Savas. "An Event-Based Fragment of First-Order Logic over Intervals." Journal of Logic, Language and Information 20, no. 1 (July 22, 2010): 49–68. http://dx.doi.org/10.1007/s10849-010-9126-5.

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45

Xu, Xinming, and Sze Chai Kwok. "Temporal-order iconicity bias in narrative event understanding and memory." Memory 27, no. 8 (May 28, 2019): 1079–90. http://dx.doi.org/10.1080/09658211.2019.1622734.

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46

Howard,, James H., Darlene V. Howard, Nancy A. Dennis, and Helen Yankovich. "Event Timing and Age Deficits in Higher-Order Sequence Learning." Aging, Neuropsychology, and Cognition 14, no. 6 (November 14, 2007): 647–68. http://dx.doi.org/10.1080/13825580601186635.

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47

Chen, Xia, and Fei Hao. "Event-Triggered Consensus Control of Second-Order Multi-Agent Systems." Asian Journal of Control 17, no. 2 (May 8, 2014): 592–603. http://dx.doi.org/10.1002/asjc.894.

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48

Feng, Tian, Yue-E. Wang, Lili Liu, and Baowei Wu. "Observer-based event-triggered control for uncertain fractional-order systems." Journal of the Franklin Institute 357, no. 14 (September 2020): 9423–41. http://dx.doi.org/10.1016/j.jfranklin.2020.07.017.

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Yu, Nanxiang, and Wei Zhu. "Event-triggered impulsive chaotic synchronization of fractional-order differential systems." Applied Mathematics and Computation 388 (January 2021): 125554. http://dx.doi.org/10.1016/j.amc.2020.125554.

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Besserer, Jürgen, and Uwe Schneider. "Track-event theory of cell survival with second-order repair." Radiation and Environmental Biophysics 54, no. 2 (January 24, 2015): 167–74. http://dx.doi.org/10.1007/s00411-015-0584-7.

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