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Journal articles on the topic 'Temporal'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 June 2025

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1

Dierks, H., and E. R. Olderog. "Temporale Spezifikationslogiken (Temporal Logics for Specifications)." at - Automatisierungstechnik 51, no. 2 (2003): 100. http://dx.doi.org/10.1524/auto.51.2.100.22799.

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2

Dierks, H., and E. R. Olderog. "Temporale Spezifikationslogiken (Temporal Logics for Specifications)." at - Automatisierungstechnik 51, no. 2-2003 (February 2003): A1—A4. http://dx.doi.org/10.1524/auto.52.2.a1.34758.

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3

Nguyen, Benjamin, and Michael J. Spivey. "Journal of Multiscale Neuroscience." Journal of Multiscale Neuroscience 2, no. 1 (April 28, 2023): 251–72. http://dx.doi.org/10.56280/1570699699.

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By juxtaposing time series analyses of activity measured from a fully recurrent network undergoing disrupted processing and of activity measured from a continuous meta-cognitive report of disruption in real-time language comprehension, we present an opportunity to compare the temporal statistics of the state-space trajectories inherent to both systems. Both the recurrent network and the human language comprehension process appear to exhibit long-range temporal correlations and low entropy when processing is undisrupted and coordinated. However, when processing is disrupted and discoordinated, they both exhibit more short-range temporal correlations and higher entropy. We conclude that by measuring human language comprehension in a dense-sampling manner similar to how we analyze the networks, and analyzing the resulting data stream with nonlinear time series analysis techniques, we can obtain more insight into the temporal character of these discoordination phases than by simply marking the points in time at which they peak.

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4

Nguyen, Benjamin, and Michael J. Spivey. "Journal of Multiscale Neuroscience." Journal of Multiscale Neuroscience 2, no. 1 (April 28, 2023): 251–72. http://dx.doi.org/10.56280/1570857416.

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By juxtaposing time series analyses of activity measured from a fully recurrent network undergoing disrupted processing and of activity measured from a continuous meta-cognitive report of disruption in real-time language comprehension, we present an opportunity to compare the temporal statistics of the state-space trajectories inherent to both systems. Both the recurrent network and the human language comprehension process appear to exhibit long-range temporal correlations and low entropy when processing is undisrupted and coordinated. However, when processing is disrupted and discoordinated, they both exhibit more short-range temporal correlations and higher entropy. We conclude that by measuring human language comprehension in a dense-sampling manner similar to how we analyze the networks, and analyzing the resulting data stream with nonlinear time series analysis techniques, we can obtain more insight into the temporal character of these discoordination phases than by simply marking the points in time at which they peak.

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5

León Iglesias, Javier. "Un parche más para la incapacidad temporal / One more patch for temporary disability." E-REVISTA INTERNACIONAL DE LA PROTECCION SOCIAL 8, no. 2 (2023): 88–104. http://dx.doi.org/10.12795/e-rips.2023.i02.03.

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En el contexto actual de gasto prestacional creciente en materia de incapacidad temporal, originado por diversas variables, no investigadas en profundidad, la reforma de la Ley General de la Seguridad Social mediante el Real-Decreto-Ley 2/2023, de 16 de marzo, no introduce novedades de calado para solventar el problema de un sistema, que sigue sin alcanzar el deseable equilibrio entre evitar el abuso en el percibo de la prestación, y proporcionar la debida acción protectora a quienes agotan su período máximo legal, persistiendo las razones clínicas que motivaron la baja médica. Las nuevas redacciones legales se limitan a suprimir la posibilidad de declaración de prórroga expresa a los trescientos sesenta y cinco días de duración, sustituyéndola por una prórroga tácita, si no se ha emitido antes el alta, a la vez que traslada a la inspección médica del INSS, la competencia decisoria, encomendada, hasta ahora, al INSS a través del EVI.

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6

Sattig, T. "Temporal Predication with Temporal Parts and Temporal Counterparts." Australasian Journal of Philosophy 81, no. 3 (September 2003): 355–68. http://dx.doi.org/10.1080/713659704.

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7

De, Amo Sandra, and Mírian Halfeld Ferrari Alves. "Incremental Maintenance of Data Warehouses Based on Past Temporal Logic Operators." JUCS - Journal of Universal Computer Science 10, no. (9) (September 28, 2004): 1035–64. https://doi.org/10.3217/jucs-010-09-1035.

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We see a temporal data warehouse as a set of temporal views defined in the past fragment of the temporal relational algebra extended with set-valued attributes and aggregation. This paper proposes an incremental maintenance method for temporal views that allows improvements over the re-computation from scratch. We introduce a formalism for temporal data warehouse specification that summarizes information needed for its incremental maintenance. According to this formalism, a temporal data warehouse W is a pair of two sets of views : the materialized component and the virtual component. The materialized component of W represents the set of views physically stored in the warehouse. The virtual component of W is a set of non-temporal expressions involving only relations kept in the materialized component. Several features of our approach make it especially attractive as a maintenance method for warehouses: (a) there is no need for storing the entire history of source databases, (b) maintenance of the temporal data warehouse is reduced to maintaining the (non-temporal) materialized component, and (c) the materialized component is self-maintainable. We build a uniform algorithm by combining two previously unrelated techniques based on auxiliary views. Our method is sufficiently general so that it can be easily adapted to treating databases with complex-valued attributes.

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8

Haider, Muhammad Shangol, and James F. Peters. "Temporal proximities: Self-similar temporally close shapes." Chaos, Solitons & Fractals 151 (October 2021): 111237. http://dx.doi.org/10.1016/j.chaos.2021.111237.

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9

Oaklander, L. Nathan. "Temporal Passage and Temporal Parts." Noûs 26, no. 1 (March 1992): 79. http://dx.doi.org/10.2307/2215688.

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10

McGrath, Joseph E., and Janice R. Kelly. "Temporal Context and Temporal Patterning." Time & Society 1, no. 3 (September 1992): 399–420. http://dx.doi.org/10.1177/0961463x92001003005.

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11

Dyke, Heather. "Temporal Language and Temporal Reality." Philosophical Quarterly 53, no. 212 (July 2003): 380–91. http://dx.doi.org/10.1111/1467-9213.00319.

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12

Correia, Fabrice, and Sven Rosenkranz. "Temporal existence and temporal location." Philosophical Studies 177, no. 7 (May 8, 2019): 1999–2011. http://dx.doi.org/10.1007/s11098-019-01295-z.

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13

Akrida, Eleni C., Jurek Czyzowicz, Leszek Gąsieniec, Łukasz Kuszner, and Paul G. Spirakis. "Temporal flows in temporal networks." Journal of Computer and System Sciences 103 (August 2019): 46–60. http://dx.doi.org/10.1016/j.jcss.2019.02.003.

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14

Dalla Barba, Gianfranco, and Marie-Françoise Boissé. "Temporal consciousness and confabulation: Is the medial temporal lobe “temporal”?" Cognitive Neuropsychiatry 15, no. 1-3 (January 2010): 95–117. http://dx.doi.org/10.1080/13546800902758017.

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15

Breska, Assaf, and Leon Y. Deouell. "Automatic Bias of Temporal Expectations following Temporally Regular Input Independently of High-level Temporal Expectation." Journal of Cognitive Neuroscience 26, no. 7 (July 2014): 1555–71. http://dx.doi.org/10.1162/jocn_a_00564.

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Exposure to rhythmic stimulation results in facilitated responses to events that appear in-phase with the rhythm and modulation of anticipatory and target-evoked brain activity, presumably reflecting “exogenous,” unintentional temporal expectations. However, the extent to which this effect is independent from intentional processes is not clear. In two EEG experiments, we isolated the unintentional component of this effect from high-level, intentional factors. Visual targets were presented either in-phase or out-of-phase with regularly flickering colored stimuli. In different blocks, the rhythm could be predictive (i.e., high probability for in-phase target) or not, and the color could be predictive (i.e., validly cue the interval to the target) or not. Exposure to nonpredictive rhythms resulted in faster responses for in-phase targets, even when the color predicted specific out-of-phase target times. Also, the contingent negative variation, an EEG component reflecting temporal anticipation, followed the interval of the nonpredictive rhythm and not that of the predictive color. Thus, rhythmic stimulation unintentionally induced expectations, even when this was detrimental. Intentional usage of predictive rhythms to form expectations resulted in a stronger behavioral effect, and only predictive cues modulated the latency of the target-evoked P3, presumably reflecting stimulus evaluation. These findings establish the existence of unintentional temporal expectations in rhythmic contexts, dissociate them from intentional expectations, and highlight the need to distinguish between the source of expectation (exogenous–endogenous) and the level of voluntary control involved in it (unintentional–intentional).

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16

Shen, Chenhua, Chaoling Li, and Yali Si. "Spatio-temporal autocorrelation measures for nonstationary series: A new temporally detrended spatio-temporal Moran's index." Physics Letters A 380, no. 1-2 (January 2016): 106–16. http://dx.doi.org/10.1016/j.physleta.2015.09.039.

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17

Balcı, Mehmet Ali, and Ömer Nuri Pamuk. "Giant cell (temporal) arteritis." RAED Dergisi 7, no. 1 (June 1, 2015): 10–15. http://dx.doi.org/10.2399/raed.15.54254.

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18

Gaitan, Juan, Nicolas Ciano, Gabriel Oliva, Donaldo Bran, Lucas Butti, Germán Cariac, Cecilia Caruso, et al. "Temporal variations on NDVI predict temporal changes in vegetation cover across Patagonian drylands (Argentina)." Ecosistemas 30, no. 3 (December 24, 2021): 2229. http://dx.doi.org/10.7818/ecos.2229.

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La variación temporal del índice NDVI predice los cambios temporales de la cobertura vegetal en las tierras secas de la Patagonia argentina. En las tierras secas, la vegetación natural es una fuente importante de sustento para las comunidades que viven en ellas, dado que la utilizan como alimento, combustible y forraje para el ganado. Además de los bienes y servicios que brinda a las comunidades, la vegetación de las tierras secas también juega un papel importante en muchos procesos ecosistémicos, como por ejemplo el reciclaje de nutrientes o la protección del suelo frente a la erosión. Por lo tanto, el monitoreo a largo plazo de la cobertura vegetal es clave para la toma de decisiones en la gestión de estas regiones. En este estudio, analizamos la variación de la cobertura vegetal en 239 sitios de una red de monitoreo a largo plazo (red MARAS), en uno de los biomas de tierras secas más grandes del mundo: la estepa patagónica argentina. A continuación, la relacionamos con la variación de diferentes períodos del Índice de Vegetación de Diferencia Normalizada (Normalized Difference Vegetation Index, NDVI), obtenido del sensor MODIS, que sirve como variable predictora. El modelo empírico ajustado explicó hasta un 40% de la variación en la cobertura vegetal medida a campo. Con este sencillo modelo empírico hemos estimado y cartografiado los cambios temporales en la cobertura vegetal de un extenso bioma de tierras secas a bajo coste.

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19

Bettini, Claudio, and Simone Ruffini. "Direct Granularity Conversions among Temporal Constraints." JUCS - Journal of Universal Computer Science 9, no. (9) (September 28, 2003): 1123–36. https://doi.org/10.3217/jucs-009-09-1123.

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This paper considers temporal constraints that can impose a minimum and maximum time distance between the occurrences of two events by specifying the minimum and maximum values in terms of a time granularity. When several constraints using different time granularities are part of the specification of a single problem, a reasonable question is how to convert the constraints in terms of a single granularity in order to apply standard temporal constraint algorithms. This paper investigates the problem of converting a distance constraint expressed in terms of a granularity into another one in terms of a different time granularity. An expressive formal model for time granularities is assumed including common granularities like hours and days as well as user-defined granularities like business days and academic semesters.

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20

Bazzanti, Marcello, Sabrina Baldoni, and Marco Seminara. "Invertebrate macrofauna of a temporary pond in Central Italy: composition, community parameters and temporal succession." Archiv für Hydrobiologie 137, no. 1 (July 18, 1996): 77–94. http://dx.doi.org/10.1127/archiv-hydrobiol/137/1996/77.

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21

Courteau, Joanna, and Jose Martins Garcia. "Temporal." Hispania 71, no. 4 (December 1988): 833. http://dx.doi.org/10.2307/343280.

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22

Grandi, Fabio. "Temporal Interoperability in Multi+Temporal Databases." Journal of Database Management 9, no. 1 (January 1998): 14–23. http://dx.doi.org/10.4018/jdm.1998010102.

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23

Costouros, Nick G., Lorren Jackson, and Gretchen A. W. Gooding. "Temporal Artery Pseudoaneurysm With Temporal Arteritis." Journal of Ultrasound in Medicine 26, no. 2 (February 2007): 275–77. http://dx.doi.org/10.7863/jum.2007.26.2.275.

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24

Campos, M., J. M. Juárez, J. Palma, and R. Marín. "Using temporal constraints for temporal abstraction." Journal of Intelligent Information Systems 34, no. 1 (February 12, 2009): 57–92. http://dx.doi.org/10.1007/s10844-009-0079-6.

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25

Alpern, Bowen, and Fred B. Schneider. "Verifying temporal properties without temporal logic." ACM Transactions on Programming Languages and Systems 11, no. 1 (January 1989): 147–67. http://dx.doi.org/10.1145/59287.62028.

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26

Sargon, M. F., S. Selvi, M. Farımaz, and H. Akdemir Aktaş. "Interrelation of temporal fascia, temporalis and masseter muscles." Journal of the Anatomical Society of India 67, no. 2 (December 2018): 171–74. http://dx.doi.org/10.1016/j.jasi.2018.10.004.

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27

Lee, Yoon Ho, Sin Chul Lee, and Kun Hwang. "Anchoring Temporalis Muscle to Porous Polyethylene Sheet Fixed at the Temporal Crest in the Temporal Depression." Journal of Craniofacial Surgery 23, no. 1 (January 2012): e48-e50. http://dx.doi.org/10.1097/scs.0b013e318241e1ba.

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28

O'Brien, Terence J., Christine Kilpatrick, Vanessa Murrie, Simon Vogrin, Kevin Morris, and Mark J. Cook. "Temporal lobe epilepsy caused by mesial temporal sclerosis and temporal neocortical lesions." Brain 119, no. 6 (1996): 2133–41. http://dx.doi.org/10.1093/brain/119.6.2133.

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29

Moran, N. F., L. Lemieux, N. D. Kitchen, D. R. Fish, and S. D. Shorvon. "Extrahippocampal temporal lobe atrophy in temporal lobe epilepsy and mesial temporal sclerosis." Brain 124, no. 1 (January 1, 2001): 167–75. http://dx.doi.org/10.1093/brain/124.1.167.

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30

Micheli, Andrea, and Enrico Scala. "Temporal Planning with Temporal Metric Trajectory Constraints." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 7675–82. http://dx.doi.org/10.1609/aaai.v33i01.33017675.

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In several industrial applications of planning, complex temporal metric trajectory constraints are needed to adequately model the problem at hand. For example, in production plants, items must be processed following a “recipe” of steps subject to precise timing constraints. Modeling such domains is very challenging in existing action-based languages due to the lack of sufficiently expressive trajectory constraints.We propose a novel temporal planning formalism allowing quantified temporal constraints over execution timing of action instances. We build on top of instantaneous actions borrowed from classical planning and add expressive temporal constructs. The paper details the semantics of our new formalism and presents a solving technique grounded in classical, heuristic forward search planning. Our experiments prove the proposed framework superior to alternative state-of-theart planning approaches on industrial benchmarks, and competitive with similar solving methods on well known benchmarks took from the planning competition.

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31

Zhao Wu, Lei Lei, Jianji Dong, Jie Hou, and Xinliang Zhang. "Reconfigurable Temporal Fourier Transformation and Temporal Imaging." Journal of Lightwave Technology 32, no. 23 (December 1, 2014): 4565–70. http://dx.doi.org/10.1109/jlt.2014.2361293.

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32

Hartcher-O'Brien, Jessica, and David Alais. "Temporal ventriloquism in a purely temporal context." Journal of Experimental Psychology: Human Perception and Performance 37, no. 5 (2011): 1383–95. http://dx.doi.org/10.1037/a0024234.

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33

Xiong, Chengxin, Dan Guo, and Xueliang Liu. "Temporal proposal optimization for temporal action detection." Journal of Image and Graphics 25, no. 7 (2020): 1447–58. http://dx.doi.org/10.11834/jig.190440.

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34

Whicker, F. W., K. Bunzl, P. Dixon, E. M. Scott, S. C. Sheppard, and G. Voigt. "6 Temporal and Spatio-Temporal Sampling Problems." Journal of the ICRU 6, no. 1 (June 2006): 65–76. http://dx.doi.org/10.1093/jicru_ndl011.

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35

Park, Hyeon. "Inter-temporal choices with temporal reference dependence." Research in Economics 73, no. 1 (March 2019): 107–22. http://dx.doi.org/10.1016/j.rie.2019.01.004.

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36

Percoco, Marco. "Temporal aggregation and spatio-temporal traffic modeling." Journal of Transport Geography 46 (June 2015): 244–47. http://dx.doi.org/10.1016/j.jtrangeo.2015.07.001.

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37

Whicker, F. W., K. Bunzl, P. Dixon, E. M. Scott, S. C. Sheppard, and G. Voigt. "6 TEMPORAL AND SPATIO-TEMPORAL SAMPLING PROBLEMS." Journal of the ICRU 6, no. 1 (April 24, 2006): 65–76. http://dx.doi.org/10.1093/jicru/ndl011.

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38

Davis, B., J. Christie, and C. Rorden. "Temporal Order Judgments Activate Temporal Parietal Junction." Journal of Neuroscience 29, no. 10 (March 11, 2009): 3182–88. http://dx.doi.org/10.1523/jneurosci.5793-08.2009.

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39

彭, 鸿博. "Temporal Structure in Attention: Selective Temporal Attention." Advances in Psychology 10, no. 04 (2020): 448–54. http://dx.doi.org/10.12677/ap.2020.104056.

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40

Takeuchi, Juji, Hiroaki Kubo, Jun Kawasaki, and Kousuke Kanemoto. "Transinferior Temporal Amygdalohippocampectomy for Temporal Lobe Epilepsy." Epilepsia 39, S5 (May 1998): 62. http://dx.doi.org/10.1111/j.1528-1157.1998.tb01926.x.

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41

Jones, Richard M., Michael I. Rothman, William C. Gray, Gregg H. Zoarski, and Douglas E. Mattox. "Temporal Lobe Injury in Temporal Bone Fractures." Archives of Otolaryngology–Head & Neck Surgery 126, no. 2 (February 1, 2000): 131. http://dx.doi.org/10.1001/archotol.126.2.131.

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42

Caroe, A. "Temporal Artery Biopsy to Diagnose Temporal Arteritis." JAMA: The Journal of the American Medical Association 280, no. 23 (December 16, 1998): 1992. http://dx.doi.org/10.1001/jama.280.23.1992.

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43

Duyar, Aysun, Rachel N. Denison, and Marisa Carrasco. "Exogenous temporal attention varies with temporal uncertainty." Journal of Vision 23, no. 3 (March 16, 2023): 9. http://dx.doi.org/10.1167/jov.23.3.9.

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44

Ding, Xiaowei, Huichao Ji, Wenhao Yu, Luzi Xu, Youting Lin, and Yanliang Sun. "Dissociation between temporal attention and Consciousness: Unconscious temporal cue induces temporal expectation effect." Consciousness and Cognition 119 (March 2024): 103670. http://dx.doi.org/10.1016/j.concog.2024.103670.

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45

G., Deepa, and Shrikrishna B.H. "Study of Anatomical Variations of Temporal Bone Using High Resolution Computed Tomography of Temporal Bone." Indian Journal of Anatomy 6, no. 3 (2017): 274–79. http://dx.doi.org/10.21088/ija.2320.0022.6317.3.

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46

Matkovski, Paula Dayana, Jorge Oliveira da Rocha Filho, Patrick Cardoso Candemil, Fabrício Zucco, Walmor Erwin Belz, João Marcelo Gonçalves da Rocha Loures, Milton Sérgio Bohatch Júnior, and Renan Cardoso Candemil. "Tratamento do aneurisma aterosclerótico da artéria temporal superficial: relato de caso." Jornal Vascular Brasileiro 14, no. 3 (September 2015): 275–79. http://dx.doi.org/10.1590/1677-5449.0089.

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ResumoAneurismas da artéria temporal superficial são incomuns segundo a literatura. A grande maioria é secundária a traumatismos ou cirurgia na região temporal, sendo que 95% dos casos evoluem para pseudoaneurismas. Entretanto, os aneurismas verdadeiros ou espontâneos são extremamente raros e representam 8% dos casos de aneurismas da artéria temporal superficial, sendo estes, geralmente, de origem aterosclerótica. Aneurismas temporais espontâneos podem coexistir com outras lesões vasculares, incluindo aneurismas intracranianos. Nosso relato trata de um paciente com aneurisma de artéria temporal superficial esquerda, de origem aterosclerótica, no qual foi realizada a excisão cirúrgica, sob anestesia geral.

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47

Murtaza, Fiza, Muhammad Haroon Yousaf, Sergio A. Velastin, and Yu Qian. "Vectors of temporally correlated snippets for temporal action detection." Computers & Electrical Engineering 85 (July 2020): 106654. http://dx.doi.org/10.1016/j.compeleceng.2020.106654.

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48

Lee, Sangbeom, and Yo-Sung Ho. "Temporally consistent depth video filter using temporal outlier reduction." Signal, Image and Video Processing 9, no. 6 (June 1, 2014): 1401–8. http://dx.doi.org/10.1007/s11760-014-0642-7.

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49

Soares, Marília Facó. "A análise de tempo em Ticuna (Tikuna) Revisitada: questões sobre anáfora temporal e sequenciamento temporal." Revista Linguíʃtica 13, no. 2 (September 1, 2017): 263. http://dx.doi.org/10.31513/linguistica.2017.v13n2a14035.

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Este trabalho retoma questões abertas em Soares (2005), trabalho em que afrmamos que caberia investigar se o tempo em Ticuna (Tikuna), ao invés de ser concebido como uma dimensão temporal construída a partir de operadores pertencentes a uma metalíngua, poderia ser visto como centrado na existência de entidades temporais na própria língua. Um tal questionamento leva necessariamente à busca por dados relativos à anáfora temporal e a fenômenos anafóricos de modo geral, colocando difculdades para uma abordagem do tempo a partir de operadores. Nosso principal objetivo neste artigo é, assim, verifcar a existência ou não de sequenciamento temporal (SOT) e, consequentemente, as possibilidades da anáfora temporal nessa língua.

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50

Ferreira, Leonildo Alves, Lívia Flório Sgobbi, Martin Schwellberger Barbosa, Juliete Carine Ribeiro Andrade, and Pedro Henrique Ferri. "WEBCIÊNCIA IQ-UFG: A SETA DO TEMPO E O ENGAJAMENTO PÚBLICO NO CONTEXTO DA TRANSPANDEMIA." ARACÊ 7, no. 4 (April 18, 2025): 19215–31. https://doi.org/10.56238/arev7n4-205.

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O significado do tempo tem sido um tema recorrente em artigos de divulgação científica em diferentes mídias, muito embora não considerem a progressividade temporal, representada pela “seta do tempo”, nem a influência de múltiplas escalas temporais no poder e nos mecanismos de engajamento do público. Neste artigo, os indicadores de desempenho dos webinários do canal WebCiência IQ-UFG no YouTubeÒ foram analisados ao longo de múltiplas escalas temporais, por meio de mapas de autovetores assimétricos (AEM). Os resultados permitiram incorporar a unidirecionalidade do vetor do tempo entre os webinários, preservando a estrutura temporal da causalidade. A tendência temporal (escala grande) representou a transição dos ensinos remoto e presencial na transpandemia, enquanto a estratégia e os recursos disponibilizados pela equipe de gestão foram importantes no engajamento do público, com destaque para os temas selecionados (escala intermediária). Os AEM modelaram tanto a influência temporal multiescala quanto a variância crescente, no tempo, de visualizações, likes e comentários dos webinários, contribuindo com a avaliação dos efeitos temporais associados ao engajamento a mídias sociais.

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