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Готові списки джерел за темами / Temporal component / Статті в журналах

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Статті в журналах з теми "Temporal component"

Автор: Grafiati

Опубліковано: 3 червня 2025

Оновлено: 31 липня 2025

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1

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) (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 mate

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2

Seddon, Andrew, and Pearl Brereton. "Component selection using temporal truth maintenance." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 8, no. 1 (1994): 13–25. http://dx.doi.org/10.1017/s0890060400000421.

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AbstractThe application of truth maintenance techniques to the component selection phase of the engineering design process is described. The aims of the research include the selection of components that most closely match a set of requirements which include fluid characteristics, economic constraints, and company policies or preferences. In addition, we consider the storage and retrieval of requirement sets and corresponding component selections. The benefits of maintaining temporal knowledge are twofold: to enhance performance through reuse when new requirement sets are similar to previous se

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3

Frederickson, Charles G. "Temporal Experience: A Two Component Model." Perceptual and Motor Skills 66, no. 1 (1988): 63–68. http://dx.doi.org/10.2466/pms.1988.66.1.63.

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The experience of time, or temporal experience, has been postulated to be derived from an interrelation of two components, succession and duration. These components are represented in the literature as temporal orientation and temporal pace, respectively. This postulate of interrelatedness was tested by examining the relationship between measures of temporal orientation and pace assessed simultaneously and coincidentally during 102 psychotherapeutic sessions. Multiple regression analysis indicated a statistically significant relationship between these variables. The nature of their relation an

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4

Ge, Liang, Siyu Li, Yaqian Wang, Feng Chang, and Kunyan Wu. "Global Spatial-Temporal Graph Convolutional Network for Urban Traffic Speed Prediction." Applied Sciences 10, no. 4 (2020): 1509. http://dx.doi.org/10.3390/app10041509.

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Traffic speed prediction plays a significant role in the intelligent traffic system (ITS). However, due to the complex spatial-temporal correlations of traffic data, it is very challenging to predict traffic speed timely and accurately. The traffic speed renders not only short-term neighboring and multiple long-term periodic dependencies in the temporal dimension but also local and global dependencies in the spatial dimension. To address this problem, we propose a novel deep-learning-based model, Global Spatial-Temporal Graph Convolutional Network (GSTGCN), for urban traffic speed prediction.

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5

Kapur, Jaideep. "Is Mesial Temporal Sclerosis a Necessary Component of Temporal Lobe Epilepsy?" Epilepsy Currents 6, no. 6 (2006): 208–9. http://dx.doi.org/10.1111/j.1535-7511.2006.00147.x.

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6

Hettinger, Thomas, and Marion Frank. "Stochastic and Temporal Models of Olfactory Perception." Chemosensors 6, no. 4 (2018): 44. http://dx.doi.org/10.3390/chemosensors6040044.

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Olfactory systems typically process signals produced by mixtures composed of very many natural odors, some that can be elicited by single compounds. The several hundred different olfactory receptors aided by several dozen different taste receptors are sufficient to define our complex chemosensory world. However, sensory processing by selective adaptation and mixture suppression leaves only a few perceptual components recognized at any time. Thresholds determined by stochastic processes are described by functions relating stimulus detection to concentration. Relative saliences of mixture compon

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7

Stewart-Koster, Ben, Mark J. Kennard, Bronwyn D. Harch, Fran Sheldon, Angela H. Arthington, and Bradley J. Pusey. "Partitioning the variation in stream fish assemblages within a spatio-temporal hierarchy." Marine and Freshwater Research 58, no. 7 (2007): 675. http://dx.doi.org/10.1071/mf06183.

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This paper describes the relative influence of (i) landscape scale environmental and hydrological factors, (ii) local scale environmental conditions including recent flow history, and (iii) spatial effects (proximity of sites to one another), on the spatial and temporal variation in local freshwater fish assemblages in the Mary River, south-eastern Queensland, Australia. Using canonical correspondence analysis, each of the three sets of variables explained similar amounts of variation in fish assemblages (ranging from 44 to 52%). Variation in fish assemblages was partitioned into eight unique

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8

Gromushkin, D. M., A. A. Petrukhin, Yu V. Stenkin, and I. I. Yashin. "Study of EAS neutron component temporal structure." Astrophysics and Space Sciences Transactions 7, no. 2 (2011): 115–17. http://dx.doi.org/10.5194/astra-7-115-2011.

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9

Krzyśko, Mirosław, Waldemar Wołyński, Wojciech Łukaszonek, and Waldemar Ratajczak. "PRINCIPAL COMPONENT ANALYSIS FOR TEMPORAL-SPATIAL DATA." PRACE NAUKOWE UNIWERSYTETU EKONOMICZNEGO WE WROCŁAWIU, no. 507 (2018): 115–23. http://dx.doi.org/10.15611/pn.2018.507.11.

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10

Huber-Huber, C., A. Grubert, U. Ansorge, and M. Eimer. "Nasal-temporal Asymmetries of the N2pc Component." Journal of Vision 14, no. 10 (2014): 622. http://dx.doi.org/10.1167/14.10.622.

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11

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 (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

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12

Gerth, Jeffrey M. "Systematic Errors Occur in the Discrimination of Complex Audio Signals." Proceedings of the Human Factors Society Annual Meeting 36, no. 3 (1992): 263–67. http://dx.doi.org/10.1518/107118192786751916.

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Previous research suggests that the temporal pattern of dissimilar sounds may be a basis for confusion. To extend this research, the present study used complex sounds formed by simultaneously playing components drawn from four sound categories. Four temporal patterns, determined by sound duration and duty cycle were also used, producing a total of 16 basic components. The density (i.e., number of components played simultaneously) ranged from one to four. Subjects heard a sequence of two complex sounds and judged whether they were same of different. For trials in which the sounds differed, ther

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13

Zhu, Xiaobin, Zhuangzi Li, Xiao-Yu Zhang, Changsheng Li, Yaqi Liu, and Ziyu Xue. "Residual Invertible Spatio-Temporal Network for Video Super-Resolution." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 5981–88. http://dx.doi.org/10.1609/aaai.v33i01.33015981.

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Video super-resolution is a challenging task, which has attracted great attention in research and industry communities. In this paper, we propose a novel end-to-end architecture, called Residual Invertible Spatio-Temporal Network (RISTN) for video super-resolution. The RISTN can sufficiently exploit the spatial information from low-resolution to high-resolution, and effectively models the temporal consistency from consecutive video frames. Compared with existing recurrent convolutional network based approaches, RISTN is much deeper but more efficient. It consists of three major components: In

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14

Msakni, Issam, Aya Khemir, and Nada Mansouri. "Temporal primary cutaneous carcinosarcoma in the ear: A case report." Our Dermatology Online 12, no. 2 (2021): 180–82. http://dx.doi.org/10.7241/ourd.20212.20.

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Carcinosarcoma is a rare biphasic tumor made of two malignant components—the epithelial component and the stromal component—that can develop anywhere on the body, but mainly in sun-exposed areas. We report the case of a 78-year-old male who presented himself with a right temporal tumor in the ear 10 cm in diameter. A biopsy suggested a sarcoma. The patient underwent an extensive surgical resection of the temporal mass and the ipsilateral ear. A microscopic examination of the tumor revealed two intermixed malignant contingents. The epithelial component was made of atypical basaloid cells arrang

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15

Rigge, Matthew, Collin Homer, Hua Shi, and Debra K. Meyer. "Validating a Landsat Time-Series of Fractional Component Cover Across Western U.S. Rangelands." Remote Sensing 11, no. 24 (2019): 3009. http://dx.doi.org/10.3390/rs11243009.

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Western U.S. rangelands have been quantified as six fractional cover (0%–100%) components over the Landsat archive (1985–2018) at a 30 m resolution, termed the “Back-in-Time” (BIT) dataset. Robust validation through space and time is needed to quantify product accuracy. Here, we used field data collected concurrently with high-resolution satellite (HRS) images over multiple locations (n = 42) and years. Field observations were used to train regression tree models, predicting the component cover across each HRS image. Our objectives were to evaluate the spatial and temporal relationships betwee

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16

Schmitz, Oliver, Elga Salvadore, Lien Poelmans, Johannes van der Kwast, and Derek Karssenberg. "A framework to resolve spatio-temporal misalignment in component-based modelling." Journal of Hydroinformatics 16, no. 4 (2013): 850–71. http://dx.doi.org/10.2166/hydro.2013.180.

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Process-based spatio-temporal component models simulate real world processes, using encapsulated process representations that operate at individual spatial and temporal discretisations. These component models act as building blocks in the construction of multi-disciplinary, multi-scale integrated models. Coupling these independent component models, however, involves aggregation or disaggregation of the exchanged variables at model runtime, since each of the component models exposes potentially different spatial and temporal discretisations. Although conceptual methodologies for spatial and tem

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17

Salvatore, Stefania, Jørgen G. Bramness, and Jo Røislien. "Exploring functional data analysis and wavelet principal component analysis on ecstasy (MDMA) wastewater data." BMC Medical Research Methodology 16, no. 1 (2016): 81. https://doi.org/10.1186/s12874-016-0179-2.

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<strong>Background: </strong>Wastewater-based epidemiology (WBE) is a novel approach in drug use epidemiology which aims to monitor the extent of use of various drugs in a community. In this study, we investigate functional principal component analysis (FPCA) as a tool for analysing WBE data and compare it to traditional principal component analysis (PCA) and to wavelet principal component analysis (WPCA) which is more flexible temporally.<strong>Methods: </strong>We analysed temporal wastewater data from 42 European cities collected daily over one week in March 2013. The main temporal feature

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18

Pfannerstill, M., B. Guse, D. Reusser, and N. Fohrer. "Temporal parameter sensitivity guided verification of process dynamics." Hydrology and Earth System Sciences Discussions 12, no. 2 (2015): 1729–64. http://dx.doi.org/10.5194/hessd-12-1729-2015.

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Abstract. To ensure reliable results of a hydrological model, it is essential that the model reproduces the hydrological processes adequately. Information about process dynamics is provided by looking at the temporal sensitivities of the corresponding model parameters. For this, the temporal dynamics of parameter sensitivity are used to describe the dominance of parameters for each time step. The parameter dominance is then related to the corresponding hydrological process, since the temporal parameter sensitivity represents the modelled hydrological process. For a reliable model application i

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19

Heydinger, John M. "Reinforcing the Ecosystem Services Perspective: The Temporal Component." Ecosystems 19, no. 4 (2016): 661–73. http://dx.doi.org/10.1007/s10021-016-9959-0.

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20

Park, Jin-Hyuck, and Sang Ah Lee. "The Fragility of Temporal Memory in Alzheimer’s Disease." Journal of Alzheimer's Disease 79, no. 4 (2021): 1631–46. http://dx.doi.org/10.3233/jad-200892.

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Background: Although episodic memory impairment is one of the hallmarks of Alzheimer’s disease (AD), the relative decline in the components of episodic memory (What, Where, and When) and the effects of cognitive training on each of them are still unknown. Objective: We aimed to independently assess the impairment in each component of episodic memory in early to moderate AD and address whether it can be enhanced through active, spatiotemporal episodic training. Methods: A non-verbal scene-based episodic memory task was developed to assess the ability to remember What, Where, and When informatio

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21

Monahan, Adam H. "The Temporal Autocorrelation Structure of Sea Surface Winds." Journal of Climate 25, no. 19 (2012): 6684–700. http://dx.doi.org/10.1175/jcli-d-11-00698.1.

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Abstract The temporal autocorrelation structures of sea surface vector winds and wind speeds are considered. Analyses of scatterometer and reanalysis wind data demonstrate that the autocorrelation functions (acf) of surface zonal wind, meridional wind, and wind speed generally drop off more rapidly in the midlatitudes than in the low latitudes. Furthermore, the meridional wind component and wind speed generally decorrelate more rapidly than the zonal wind component. The anisotropy in vector wind decorrelation scales is demonstrated to be most pronounced in the storm tracks and near the equator

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22

Christensen, Thomas A., and John G. Hildebrand. "Coincident Stimulation With Pheromone Components Improves Temporal Pattern Resolution in Central Olfactory Neurons." Journal of Neurophysiology 77, no. 2 (1997): 775–81. http://dx.doi.org/10.1152/jn.1997.77.2.775.

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Christensen, Thomas A. and John G. Hildebrand. Coincident stimulation with pheromone components improves temporal pattern resolution in central olfactory neurons. J. Neurophysiol. 77: 775–781, 1997. Male moths must detect and resolve temporal discontinuities in the sex pheromonal odor signal emitted by a conspecific female moth to orient to and locate the odor source. We asked how sensory information about two key components of the pheromone influences the ability of certain sexually dimorphic projection (output) neurons in the primary olfactory center of the male moth's brain to encode the fr

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23

Zhang, Chi, Hong-Yu Zhou, Qiang Qiu, et al. "Augmented Multi-Component Recurrent Graph Convolutional Network for Traffic Flow Forecasting." ISPRS International Journal of Geo-Information 11, no. 2 (2022): 88. http://dx.doi.org/10.3390/ijgi11020088.

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Due to the periodic and dynamic changes of traffic flow and the spatial–temporal coupling interaction of complex road networks, traffic flow forecasting is highly challenging and rarely yields satisfactory prediction results. In this paper, we propose a novel methodology named the Augmented Multi-component Recurrent Graph Convolutional Network (AM-RGCN) for traffic flow forecasting by addressing the problems above. We first introduce the augmented multi-component module to the traffic forecasting model to tackle the problem of periodic temporal shift emerging in traffic series. Then, we propos

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24

Kochel, Bonawentura. "New Pathways in Lipopolysaccharide-Induced Toll-Like Receptor 4-to-Nuclear Factor-κB Signaling Through the Coupled Uniform Sequential Reaction Systems Model". Advanced Science, Engineering and Medicine 12, № 10 (2020): 1246–56. http://dx.doi.org/10.1166/asem.2020.2678.

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The coupled uniform sequential reaction systems (CUSERS) model, which allows for determining the structure of signaling pathways with incomplete information from the temporal patterns of their components, was applied to the experimental records of activities of TLR4 downstream species IKK and NF-κB in LPS-stimulated wild-type (WT), MyD88-deficient and TRIF-deficient macrophages. New signaling pathways targeting IKK were revealed in MyD88-deficient and TRIF-deficient macrophages, and shown to be described by the coupled systems formed by 3- and 5-component or 5- and 10-component pathways, respe

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25

Praus, Petr. "Principal Component Weighted Index for Wastewater Quality Monitoring." Water 11, no. 11 (2019): 2376. http://dx.doi.org/10.3390/w11112376.

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The quality of raw and treated wastewater was evaluated using the principal component weighted index (PCWI) which was defined as a sum of principal component scores weighted according to their eigenvalues. For this purpose, five principal components (PCs) explaining 88% and 83% of the total variability of raw and treated wastewater samples, respectively, were extracted from 11 original physico-chemical parameters by robust principal component analysis (PCA). The PCWIs of raw and treated wastewater were analyzed in terms of their statistical distributions, temporal changes, mutual correlations,

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26

Goltz, C. "Decomposing spatio-temporal seismicity patterns." Natural Hazards and Earth System Sciences 1, no. 1/2 (2001): 83–92. http://dx.doi.org/10.5194/nhess-1-83-2001.

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Abstract. Seismicity is a distributed process of great spatial and temporal variability and complexity. Efforts to characterise and describe the evolution of seismicity patterns have a long history. Today, the detection of changes in the spatial distribution of seismicity is still regarded as one of the most important approaches in monitoring and understanding seismicity. The problem of how to best describe these spatio-temporal changes remains, also in view of the detection of possible precursors for large earthquakes. In particular, it is difficult to separate the superimposed effects of dif

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27

Liu, Dong-Jie, and Yuan-Chuan Zou. "The Temporal Symmetrical and Translational Structure in Gamma-Ray Burst Light Curves." Astrophysical Journal 955, no. 1 (2023): 35. http://dx.doi.org/10.3847/1538-4357/aceb61.

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Abstract Tremendous information is hidden in the light curve of a gamma-ray burst (GRB). Based on Compton Gamma Ray Observatory/Burst And Transient Source Experiment (BATSE) data, Hakkila found a majority of GRBs can be characterized by a smooth, single-peaked component superposed with a temporally symmetrical residual structure, i.e., a mirror feature for the fast-varying component. In this study, we conduct a similar analysis on the same data, as well as on Fermi/Gamma-Ray Burst Monitor data. We obtained a similar conclusion, which is that most GRBs have this symmetrical fast-varying compone

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28

Liu, Shaohua, Shijun Dai, Jingkai Sun, Tianlu Mao, Junsuo Zhao, and Heng Zhang. "Multicomponent Spatial-Temporal Graph Attention Convolution Networks for Traffic Prediction with Spatially Sparse Data." Computational Intelligence and Neuroscience 2021 (December 23, 2021): 1–12. http://dx.doi.org/10.1155/2021/9134942.

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Predicting traffic data on traffic networks is essential to transportation management. It is a challenging task due to the complicated spatial-temporal dependency. The latest studies mainly focus on capturing temporal and spatial dependencies with spatially dense traffic data. However, when traffic data become spatially sparse, existing methods cannot capture sufficient spatial correlation information and thus fail to learn the temporal periodicity sufficiently. To address these issues, we propose a novel deep learning framework, Multi-component Spatial-Temporal Graph Attention Convolutional N

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29

Litvintseva, Galina, and Ilya Karelin. "Digital Effects and Inequality of People’s Quality of Life in the Globalization Era." SHS Web of Conferences 92 (2021): 05016. http://dx.doi.org/10.1051/shsconf/20219205016.

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Research background: Digital transformation are going on both in global economy and within separate states. This phenomenon became known as glocalization. In that respect the analysis of digitalization influence on people’s quality of life in different regions of large-space countries like Russia seems to be actual. Purpose of the article: Basing on calculation of digital component level of people’s quality of life to estimate temporal and spatial effects affecting it, to determine inequality in digital components of quality of life in different regions of Russia. Methods: Digital component of

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30

Hill, Nicholas I., and Peter J. Bailey. "A Comparison of the Effects of Differences in Temporal Gating and Ear of Presentation on Profile Discrimination." Perception 31, no. 11 (2002): 1395–402. http://dx.doi.org/10.1068/p3124.

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The aim of the study was to examine the effects of differences in temporal gating and ear of presentation (both separately and in combination) on listeners' ability to detect an increment in the level of a 1 kHz component (the target) relative to that of four spectrally flanking components. The flanking components were always presented to the listeners' right ear, while the target component was either presented to the same ear (monaural presentation) or to the left ear (dichotic presentation). Similarly, the target and flanking components were either gated on and off at the same time (synchron

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31

MADDESS, TED, ANDREW C. JAMES, RASA RUSECKAITE, and ELIZABETH A. BOWMAN. "Hierarchical decomposition of dichoptic multifocal visual evoked potentials." Visual Neuroscience 23, no. 5 (2006): 703–12. http://dx.doi.org/10.1017/s0952523806230013.

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Visual evoked responses to dichoptically presented multifocal stimuli were recorded for 92 eyes. Two stimulus variants were explored: temporally sparse and rapidly contrast reversing. We used hierarchal decomposition (HD) to represent the multifocal responses in terms of a small number of potentially unique component waveforms that are interrelated in a multivariate linear autoregressive (MLAR) relationship. The HD method exploits temporal correlations over a range of delays in the responses to estimate parallel, feedforward and feedback relationships between the HD components. Three HD compon

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32

Richmond, B. J., and L. M. Optican. "Temporal encoding of two-dimensional patterns by single units in primate inferior temporal cortex. II. Quantification of response waveform." Journal of Neurophysiology 57, no. 1 (1987): 147–61. http://dx.doi.org/10.1152/jn.1987.57.1.147.

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The purpose of this study was to describe how the responses of neurons in inferior temporal (IT) cortex represent visual stimuli. In the preceding paper we described the responses of IT neurons to a large set of two-dimensional black and white patterns. The responses to different stimuli showed temporal modulation of the spike trains. This paper develops a method for quantifying temporal modulation and shows that the stimulus determines the distribution over time, as well as the number, of spikes in a response. The responses were quantified using an orthogonal set of temporal waveforms called

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33

Palmer, David K. "Taking Time Seriously as a Component of Employee Resilience." Industrial and Organizational Psychology 9, no. 2 (2016): 517–22. http://dx.doi.org/10.1017/iop.2016.49.

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Britt, Shen, Sinclair, Grossman, and Klieger (2016) recommend that our understanding of resilience would be advanced by making its temporal nature explicit. As a dynamic process, resilience is historical and temporal. The animating adverse event(s) and the resilient response(s) are dynamic and unfold over time; they often unfold as trajectories. This notion of trajectories implies a dynamic process, one progressing from one response or adaptation to another. These “temporal processes are a bit of a black box in I-O research” (Britt et al., p. 394). What would an extension of Britt et al.’s rec

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34

Ventouras, Erricos M., Periklis Y. Ktonas, Hara Tsekou, Thomas Paparrigopoulos, Ioannis Kalatzis, and Constantin R. Soldatos. "Independent Component Analysis for Source Localization of EEG Sleep Spindle Components." Computational Intelligence and Neuroscience 2010 (2010): 1–12. http://dx.doi.org/10.1155/2010/329436.

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Sleep spindles are bursts of sleep electroencephalogram (EEG) quasirhythmic activity within the frequency band of 11–16 Hz, characterized by progressively increasing, then gradually decreasing amplitude. The purpose of the present study was to process sleep spindles with Independent Component Analysis (ICA) in order to investigate the possibility of extracting, through visual analysis of the spindle EEG and visual selection of Independent Components (ICs), spindle “components” (SCs) corresponding to separate EEG activity patterns during a spindle, and to investigate the intracranial current so

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35

Ryabtsev, Sergei Viktorovich, and Pavel Evgen`evich Kirillov. "Temporal Component of Social Myth as Socio-Formative Structure." Manuskript, no. 8 (August 2020): 135–39. http://dx.doi.org/10.30853/manuscript.2020.8.24.

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36

Zhang, Wensheng, Hong-Bin Fang, and Jiuzhou Song. "Principal component tests: applied to temporal gene expression data." BMC Bioinformatics 10, Suppl 1 (2009): S26. http://dx.doi.org/10.1186/1471-2105-10-s1-s26.

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Lőrincz, András, Gábor Szirtes, Bálint Takács, and György Buzsáki. "Independent component analysis of temporal sequences forms place cells." Neurocomputing 38-40 (June 2001): 769–74. http://dx.doi.org/10.1016/s0925-2312(01)00453-2.

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38

Salazar, Michael E., and Michael T. Laub. "Temporal and evolutionary dynamics of two-component signaling pathways." Current Opinion in Microbiology 24 (April 2015): 7–14. http://dx.doi.org/10.1016/j.mib.2014.12.003.

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39

Keller, Heidi, Arnold Lohaus, Susanne Volker, Martina Cappenberg, and Athanasios Chasiotis. "Temporal Contingency as an Independent Component of Parenting Behavior." Child Development 70, no. 2 (1999): 474–85. http://dx.doi.org/10.1111/1467-8624.00034.

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40

Arbab, Farhad, Christel Baier, Frank de Boer, and Jan Rutten. "Models and temporal logical specifications for timed component connectors." Software & Systems Modeling 6, no. 1 (2006): 59–82. http://dx.doi.org/10.1007/s10270-006-0009-9.

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41

Aguirre, Nazareno, and Tom Maibaum. "Hierarchical Temporal Specifications of Dynamically Reconfigurable Component Based Systems." Electronic Notes in Theoretical Computer Science 108 (December 2004): 69–81. http://dx.doi.org/10.1016/j.entcs.2004.01.013.

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42

Furuta, Akiko, Hitoshi Takahashi, Fusahiro Ikuta, Kiyoshi Onda, Norio Takeda, and Ryuichi Tanaka. "Temporal lobe tumor demonstrating ganglioglioma and pleomorphic xanthoastrocytoma components." Journal of Neurosurgery 77, no. 1 (1992): 143–47. http://dx.doi.org/10.3171/jns.1992.77.1.0143.

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Анотація:

✓ The case is reported of a 16-year-old boy with a left temporal lobe tumor composed of a ganglioglioma and a pleomorphic xanthoastrocytoma. Histologically, the tumor had two different components. One component involved the cortex of the left posterior temporal lobe and showed an aggregation of neuronal cells with an astroglial stroma. Ultrastructurally, numerous dense-cored vesicles, diagnosed as ganglioglioma, were found in the neuronal cells. The other component involved the adjacent cortex and white matter of the left anterior temporal lobe and the surrounding subarachnoid space. This was

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43

Balanev, Dmitry Yu, Eleonora A. Shcheglova, Ekaterina V. Bredun, and Petr R. Tyutyunnikov. "Set of Factors Projected as Ontological Essence of Theoretical Construct: Statistical Reconstruction of Psychological Tendencies." SibScript 25, no. 5 (2023): 595–605. http://dx.doi.org/10.21603/sibscript-2023-25-5-595-605.

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Анотація:

Statistical reconstruction can be applied to psychological tendencies that project themselves as the ontological essence of a theoretical construct. This research featured the theoretical construct of individual cognitive education space. The research objective was to study the operational possibilities of statistical measurement of a theoretical phenomenon. The general scientific principles of systemic anthropological psychology served as the methodological basis of conceptual interpretation. The theoretical construct of individual cognitive education space was reconstructed through temporal,

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44

Unoki, Masashi, Miho Kawamura, Maori Kobayashi, Shunsuke Kidani, Junfeng Li, and Masato Akagi. "Contributions of Temporal Modulation Cues in Temporal Amplitude Envelope of Speech to Urgency Perception." Applied Sciences 13, no. 10 (2023): 6239. http://dx.doi.org/10.3390/app13106239.

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We previously investigated the perception of noise-vocoded speech to determine whether the temporal amplitude envelope (TAE) of speech plays an important role in the perception of linguistic information as well as non-linguistic information. However, it remains unclear if these TAEs also play a role in the urgency perception of non-linguistic information. In this paper, we comprehensively investigated whether the TAE of speech contributes to urgency perception. To this end, we compared noise-vocoded stimuli containing TAEs identical to those of original speech with those containing TAEs contro

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45

Pang, J. C., P. A. Robinson, and K. M. Aquino. "Response-mode decomposition of spatio-temporal haemodynamics." Journal of The Royal Society Interface 13, no. 118 (2016): 20160253. http://dx.doi.org/10.1098/rsif.2016.0253.

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The blood oxygen-level dependent (BOLD) response to a neural stimulus is analysed using the transfer function derived from a physiologically based poroelastic model of cortical tissue. The transfer function is decomposed into components that correspond to distinct poles, each related to a response mode with a natural frequency and dispersion relation; together these yield the total BOLD response. The properties of the decomposed components provide a deeper understanding of the nature of the BOLD response, via the components' frequency dependences, spatial and temporal power spectra, and resona

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46

Gerth, Jeffrey M. "Identification of Sounds with Multiple Timbres." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 37, no. 9 (1993): 539–43. http://dx.doi.org/10.1177/154193129303700905.

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The present research examined identification of complex sounds created by simultaneously playing two or more component sounds in various combinations. Sixteen component sounds were used, created by imposing four distinct temporal patterns on four basic timbres, two musical timbres and two complex real-world timbres. In the present experiment, complex sounds were created by simultaneously playing one to four component sounds, each with a different timbre. Subjects heard a complex sound, followed by a second complex sound that always differed from the first by adding a component, deleting a comp

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WOOD, AMANDA G., MICHAEL M. SALING, MARIE F. O'SHEA, SAMUEL F. BERKOVIC, and GRAEME D. JACKSON. "Components of verbal learning and hippocampal damage assessed by T2 relaxometry." Journal of the International Neuropsychological Society 6, no. 5 (2000): 529–38. http://dx.doi.org/10.1017/s1355617700655029.

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We studied a group of 31 temporal lobe epilepsy patients (25 left, 6 right) with unilateral hippocampal sclerosis evident on magnetic resonance imaging. Single slice T2 relaxation times were acquired for the left and right hippocampi. Principal components analysis of preoperative memory data resulted in two factors that reflect a distinction between arbitrary and semantic forms of verbal recall. The former component correlated with left hippocampal T2 relaxation time, while the latter component did not. This study suggests that variation in left hippocampal integrity is more related to the acq

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Tatevosov, Sergei. "On the temporal structure of nonculminating accomplishments." Linguistics 58, no. 5 (2020): 1323–71. http://dx.doi.org/10.1515/ling-2020-0018.

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AbstractIn the growing body of literature on nonculmination one question seems to have attracted less attention than it may deserve: why do some but not all accomplishment predicates allow for nonculminating interpretations? The goal of this paper is to review attested restrictions on nonculminating accomplishments and to explore one specific aspect of their meaning. Assuming, with the literature on predicate decomposition, that accomplishments minimally consist of a process and change of state components, I focus on the temporal structure of the former. The main empirical finding of the study

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Barbosa, Marco, and Luís Barbosa. "A Relational Model for Component Interconnection." JUCS - Journal of Universal Computer Science 10, no. (7) (2004): 808–23. https://doi.org/10.3217/jucs-010-07-0808.

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The basic motivation of component based development is to replace conventional programming by the composition of reusable off-the-shelf units, externally coordinated through a network of connecting devices, to achieve a common goal. This paper introduces a new relational model for software connectors and discusses some preliminary work on its implementation in HASKELL. The proposed model adopts a coordination point of view in order to deal with components' temporal and spatial decoupling and, therefore, to provide support for looser levels of inter-component dependency and effective external c

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Verébová, K., and J. Horáček. "Default Mode and Temporal Lobe Networks Activity During a Working Memory Performance in Schizophrenia." European Psychiatry 24, S1 (2009): 1. http://dx.doi.org/10.1016/s0924-9338(09)71447-6.

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Background:Temporal correlations in the blood oxygen level-dependent (BOLD) signal oscillations of widely separated brain regions are presumed to reflect intrinsic functional connectivity and have been demonstrated across several distinct networks serving different functions. Impaired connectivity or disturbed integration of neural activity, as seen in brain networks in schizophrenia, might influence the symptoms of the disorder and biologically implicates in temporal and spatial alterations in BOLD signal fluctuations.The objective of this study is to examine the activity of a temporal lobe a

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