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

Щоб переглянути інші типи публікацій з цієї теми, перейдіть за посиланням: Temporal relationship.

Статті в журналах з теми "Temporal relationship"

Автор: Grafiati

Опубліковано: 4 червня 2021

Оновлено: 2 лютого 2022

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1

Lloyd, Rachel. "A temporal approach to communicating relationship styles in romantic relationships." Qualitative Research Reports in Communication 21, no. 1 (January 1, 2020): 36–44. http://dx.doi.org/10.1080/17459435.2020.1737189.

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2

Li, Ge. "Temporal Relationship Between Depression and Dementia." Archives of General Psychiatry 68, no. 9 (September 1, 2011): 970. http://dx.doi.org/10.1001/archgenpsychiatry.2011.86.

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3

Gregersen, H., and C. S. Jensen. "Temporal entity-relationship models-a survey." IEEE Transactions on Knowledge and Data Engineering 11, no. 3 (1999): 464–97. http://dx.doi.org/10.1109/69.774104.

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4

Hou, Zezhang, and Chaslav V. Pavlovic. "Temporally smeared speech: Its intelligibility and its relationship to temporal resolution." Journal of the Acoustical Society of America 92, no. 4 (October 1992): 2362. http://dx.doi.org/10.1121/1.404888.

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5

Qi, Shanshan, Luxi Yang, Chunguo Li, and Yongming Huang. "Coarse-to-Fine Spatial-Temporal Relationship Inference for Temporal Sentence Grounding." IEEE Access 9 (2021): 97430–43. http://dx.doi.org/10.1109/access.2021.3095229.

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6

Shayman, Corey S., Jae-Hyun Seo, Yonghee Oh, Richard F. Lewis, Robert J. Peterka, and Timothy E. Hullar. "Relationship between vestibular sensitivity and multisensory temporal integration." Journal of Neurophysiology 120, no. 4 (October 1, 2018): 1572–77. http://dx.doi.org/10.1152/jn.00379.2018.

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Анотація:

A single event can generate asynchronous sensory cues due to variable encoding, transmission, and processing delays. To be interpreted as being associated in time, these cues must occur within a limited time window, referred to as a “temporal binding window” (TBW). We investigated the hypothesis that vestibular deficits could disrupt temporal visual-vestibular integration by determining the relationships between vestibular threshold and TBW in participants with normal vestibular function and with vestibular hypofunction. Vestibular perceptual thresholds to yaw rotation were characterized and compared with the TBWs obtained from participants who judged whether a suprathreshold rotation occurred before or after a brief visual stimulus. Vestibular thresholds ranged from 0.7 to 16.5 deg/s and TBWs ranged from 13.8 to 395 ms. Among all participants, TBW and vestibular thresholds were well correlated ( R2 = 0.674, P < 0.001), with vestibular-deficient patients having higher thresholds and wider TBWs. Participants reported that the rotation onset needed to lead the light flash by an average of 80 ms for the visual and vestibular cues to be perceived as occurring simultaneously. The wide TBWs in vestibular-deficient participants compared with normal functioning participants indicate that peripheral sensory loss can lead to abnormal multisensory integration. A reduced ability to temporally combine sensory cues appropriately may provide a novel explanation for some symptoms reported by patients with vestibular deficits. Even among normal functioning participants, a high correlation between TBW and vestibular thresholds was observed, suggesting that these perceptual measurements are sensitive to small differences in vestibular function. NEW & NOTEWORTHY While spatial visual-vestibular integration has been well characterized, the temporal integration of these cues is not well understood. The relationship between sensitivity to whole body rotation and duration of the temporal window of visual-vestibular integration was examined using psychophysical techniques. These parameters were highly correlated for those with normal vestibular function and for patients with vestibular hypofunction. Reduced temporal integration performance in patients with vestibular hypofunction may explain some symptoms associated with vestibular loss.

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7

Munkner, R., S. Haastrup, P. Kramp, and T. Jørgensen. "The temporal relationship between schizophrenia and crime." European Psychiatry 17 (May 2002): 141. http://dx.doi.org/10.1016/s0924-9338(02)80618-6.

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8

Peacock, D. C. P. "The temporal relationship between joints and faults." Journal of Structural Geology 23, no. 2-3 (February 2001): 329–41. http://dx.doi.org/10.1016/s0191-8141(00)00099-7.

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9

Merkler, Alexander E., Stacy Y. Chu, Michael P. Lerario, Babak B. Navi, and Hooman Kamel. "Temporal relationship between infective endocarditis and stroke." Neurology 85, no. 6 (July 10, 2015): 512–16. http://dx.doi.org/10.1212/wnl.0000000000001835.

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10

Mazursky, David, and Aviva Geva. "Temporal decay in satisfaction – Purchase intention relationship." Psychology and Marketing 6, no. 3 (1989): 211–27. http://dx.doi.org/10.1002/mar.4220060305.

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11

Mayes, Chadwick, and Gaurav Dutta. "THE TEMPORAL RELATIONSHIP BETWEEN MUCORMYCOSIS AND STROKE." Chest 156, no. 4 (October 2019): A1948. http://dx.doi.org/10.1016/j.chest.2019.08.1934.

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12

Jung, Seojung, and Karen Siedlecki. "Temporal Relationship Between Activity Engagement and Cognition." Innovation in Aging 4, Supplement_1 (December 1, 2020): 592. http://dx.doi.org/10.1093/geroni/igaa057.1987.

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Анотація:

Abstract Previous studies have shown that activity engagement is related to cognitive function. However, few studies have examined the temporal order between activity engagement and various domains of cognition. Using data from the Virginia Cognitive Aging Project (baseline N =5430, Mage =51.28, SD =18.12), we examined the temporal relationships between engagement in physical and cognitive activity and different cognitive domains (reasoning, spatial visualization, episodic memory, processing speed, vocabulary) after controlling for age, education, self-rated health and depression. Cross-lagged panel analyses indicate that very few of the temporal relationships between activity level and cognition were significant except higher levels of cognitive activity significantly predicted better future processing speed, but not the reverse. Findings suggest the importance of engaging in cognitively stimulating activities, which help adults preserve processing speed over time. This study also highlights the importance of longitudinal design on various domains of cognition to help develop domain-specific interventions.

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13

Johanson, Norman A., Fredric A. Kleinbart, Douglas L. Cerynik, Jennifer M. Brey, Kevin L. Ong, and Steven M. Kurtz. "Temporal Relationship Between Knee Arthroscopy and Arthroplasty." Journal of Arthroplasty 26, no. 2 (February 2011): 187–91. http://dx.doi.org/10.1016/j.arth.2010.03.001.

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14

Glass, Robert L. "The temporal relationship between theory and practice." Journal of Systems and Software 10, no. 1 (July 1989): 65–67. http://dx.doi.org/10.1016/0164-1212(89)90063-0.

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15

Munkner, Runa, Soeren Haastrup, Torben Joergensen, and Peter Kramp. "The temporal relationship between schizophrenia and crime." Social Psychiatry and Psychiatric Epidemiology 38, no. 7 (July 2003): 347–53. http://dx.doi.org/10.1007/s00127-003-0650-3.

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16

Chundi, Parvathi, and Mahadevan Subramaniam. "Constructing Temporal Equivalence Partitionings for Keyword Sets." International Journal of Knowledge-Based Organizations 5, no. 3 (July 2015): 1–18. http://dx.doi.org/10.4018/ijkbo.2015070101.

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Анотація:

Identifying keyword associations from text and search sources is often used to facilitate many tasks such as understanding relationships among concepts, extracting relevant documents, matching advertisements to web pages, expanding user queries, etc. However, these keyword associations change continually change with time. In this paper, the authors define an equivalence relationship among keywords and develop methods to construct a temporal view of the equivalence relationship by constructing optimal temporal equivalence partitionings for keyword sets. They describe efficient algorithms to construct an optimal temporal equivalence partitioning for a keyword pair. They use the fact that the equivalence relationship is transitive to extend these algorithms to obtain an optimal temporal equivalence partitioning for a larger set of keywords. The authors show the effectiveness of the approach by constructing the temporal equivalence partitionings of several sets of keywords from the Multi-Domain Sentiment data set and the ICWS2009 Spinn3r data set.

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17

Petty, Jane, Debbie Allen, and Chris Oliver. "Relationship Among Challenging, Repetitive, and Communicative Behaviors in Children With Severe Intellectual Disabilities." American Journal on Intellectual and Developmental Disabilities 114, no. 5 (September 1, 2009): 356–68. http://dx.doi.org/10.1352/1944-7558-114.5.356.

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Abstract We used experimental and descriptive functional analyses and lag sequential analyses to examine the functional and temporal relationship among the self-injurious (SIB), potentially injurious, repetitive, challenging, and pragmatic communicative behaviors of 6 children with intellectual disabilities. Functional analyses revealed social function for SIB, potentially injurious, and repetitive behaviors across 5, 4, and 5 participants, respectively. Sixteen functionally equivalent response classes were identified across participants using both experimental and naturalistic observation data. Repetitive, potentially injurious, and SIB behaviors were significantly temporally associated, and pragmatic communicative behaviors were strongly temporally associated with challenging behaviors. The importance of the temporal and functional relationship between imperative communicative acts and challenging behavior is discussed.

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18

Ha, Hong-Youl. "Exploring the Effects of Trust and Its Outcomes in B2B Relationship Stages: A Longitudinal Study." Sustainability 12, no. 23 (November 27, 2020): 9937. http://dx.doi.org/10.3390/su12239937.

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Temporal dynamics in business-to-business (B2B) relationships are the evolution of B2B relationship stages. This study offers new insights in examining the impact of the temporal dynamics on firm performance during the B2B relationship stages. Drawing on B2B stage models, social exchange theory and the evolution of trust, the results show that the link between trust and firm performance weakens when a relationship between two parties reaches a particular stage. trust has a positive effect on firm performance in the same period; however, this positive effect decreases over time. Thus, the impact of trust on firm performance is insignificant in subsequent relationship stages in the start-up context. The impact of trust on firm performance is unstable and decreases over time. This study offers new theoretical and managerial insights regarding the temporal dynamics in B2B relationships.

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19

Mørkeberg Nilsson, Flemming. "Parkinson’s disease and affective disorder: The temporal relationship." Open Journal of Psychiatry 02, no. 02 (2012): 96–109. http://dx.doi.org/10.4236/ojpsych.2012.22014.

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20

Puff, C. Richard, and Deborah A. Van Slyke. "The temporal relationship between recall and subjective organization." Bulletin of the Psychonomic Society 23, no. 1 (January 1985): 21–24. http://dx.doi.org/10.3758/bf03329768.

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21

Johnson, Matthew D., and Jared R. Anderson. "Temporal Ordering of Intimate Relationship Efficacy and Conflict." Journal of Marriage and Family 77, no. 4 (April 7, 2015): 968–81. http://dx.doi.org/10.1111/jomf.12198.

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22

TAYLER, SOPHIE, JOANA ARANTES, and RANDOLPH C. GRACE. "Temporal discounting for monetary and close relationship outcomes." Personal Relationships 16, no. 3 (September 2009): 385–400. http://dx.doi.org/10.1111/j.1475-6811.2009.01229.x.

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23

Chen, Peijun, Mary Ganguli, Benoit H. Mulsant, and Steven T. DeKosky. "The Temporal Relationship Between Depressive Symptoms and Dementia." Archives of General Psychiatry 56, no. 3 (March 1, 1999): 261. http://dx.doi.org/10.1001/archpsyc.56.3.261.

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24

Palamalai, Srinivasan, Kalaivani Mariappan, and Christopher Devakumar. "On the Temporal Causal Relationship Between Macroeconomic Variables." SAGE Open 4, no. 1 (January 7, 2014): 215824401452541. http://dx.doi.org/10.1177/2158244014525419.

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25

Vlček, Josef, Leo Eisner, Tony Alfredo Stabile, and Luciano Telesca. "Temporal Relationship Between Injection Rates and Induced Seismicity." Pure and Applied Geophysics 175, no. 8 (July 29, 2017): 2821–35. http://dx.doi.org/10.1007/s00024-017-1622-y.

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26

Duan, Chenggang, Melody J. Zhang, and Xinmei Liu. "Temporal Leadership and Team Creativity: A Curvilinear Relationship." Academy of Management Proceedings 2021, no. 1 (August 2021): 12828. http://dx.doi.org/10.5465/ambpp.2021.12828abstract.

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27

Mapiam, Punpim Puttaraksa, Nutchanart Sriwongsitanon, Siriluk Chumchean, and Ashish Sharma. "Effects of Rain Gauge Temporal Resolution on the Specification of a Z–R Relationship." Journal of Atmospheric and Oceanic Technology 26, no. 7 (July 1, 2009): 1302–14. http://dx.doi.org/10.1175/2009jtecha1161.1.

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Abstract The weather radar is an efficient alternative for measuring spatially varying rainfall covering a large area at a high temporal resolution. This paper studies the impact of rainfall gauge temporal resolution on optimal relationships between radar reflectivity (Z) and rainfall rate (R). Four datasets of radar reflectivity and corresponding rain gauge rainfall data from Sydney and Brisbane, Australia, and one dataset from Bangkok, Thailand, were used in the analysis. Climatological Z–R relationships were calibrated using rainfall aggregated over 1–24 h to investigate the evidence of temporal scaling in the Z–R calibrated parameters. This analysis points to an increase in the multiplicative term (the A parameter) of the Z–R relationship as temporal resolutions become finer. This pattern is repeated in all the datasets analyzed. Thereafter, a simple scaling hypothesis was proposed to develop transformations that could scale the A parameter in the Z–R relation across a range of temporal resolutions. This scaling relationship was found to be suitable, with the scaling exponent attaining values close to 0.055 across all the datasets analyzed. The proposed relationship has a significant role in radar rainfall estimation studies, especially in regions where subdaily gauge rainfall measurements are not readily available to ascertain optimal Z–R parameters.

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28

Lin, Y. Y., M. S. Su, C. H. Yiu, Y. H. Shih, D. J. Yen, S. Y. Kwan, Z. A. Wu, and S. H. H. Chan. "Relationship between mesial temporal seizure focus and elevated serum prolactin in temporal lobe epilepsy." Neurology 49, no. 2 (August 1, 1997): 528–32. http://dx.doi.org/10.1212/wnl.49.2.528.

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29

RUBCHINSKY, LEONID, and MIKHAIL SUSHCHIK. "ANOMALOUS RELATIONSHIP BETWEEN SPATIAL AND TEMPORAL PATTERNS OF DYNAMICAL BEHAVIOR." International Journal of Bifurcation and Chaos 09, no. 12 (December 1999): 2329–33. http://dx.doi.org/10.1142/s0218127499001838.

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Анотація:

The relationship between spatial and temporal patterns of dynamical behavior is studied in the nonequilibrium, extended homogeneous system. We present an example of "anomalous" relationship between spatial and temporal patterns of behavior and discuss possible mechanisms of this phenomenon. By anomalous relationship we mean a situation when only chaotic temporal dynamics is possible in the spatially homogeneous regime, while in the spatially inhomogeneous regime temporal dynamics can be regular at the same value of parameters. We studied this phenomenon in the array of identical coupled Chua's circuits.

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30

YAPICI ESER, Hale, Hatice Ayşe BORA, and Aslı KURUOĞLU. "Depression and Parkinson disease: prevalence, temporal relationship, and determinants." TURKISH JOURNAL OF MEDICAL SCIENCES 47 (2017): 499–503. http://dx.doi.org/10.3906/sag-1603-101.

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31

Peter, C. S., N. Sprodowski, B. Bohnhorst, J. Silny, and C. F. Poets. "Gastroesophageal Reflux and Apnea of Prematurity: No Temporal Relationship." PEDIATRICS 109, no. 1 (January 1, 2002): 8–11. http://dx.doi.org/10.1542/peds.109.1.8.

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32

Velikanov, S. V. "TEMPORAL SIGN OF CAUSE AND EFFECT RELATIONSHIP IN CRIMINALISTICS." Theory and Practice of Forensic Science and Criminalistics 16 (November 30, 2016): 60–72. http://dx.doi.org/10.32353/khrife.2016.08.

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The issues of temporal sign of a causal relationship in Criminalistics is considered. The problematics of the asymmetry of the direction of time and causality have been worked out, approaches to clarifying the sequence and simultaneity of the event- cause and the event-consequence in Criminalistics have been proposed.

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33

Yang, Sue-Ming. "Assessing the Spatial–Temporal Relationship Between Disorder and Violence." Journal of Quantitative Criminology 26, no. 1 (December 23, 2009): 139–63. http://dx.doi.org/10.1007/s10940-009-9085-7.

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34

Djenidi, L., S. F. Tardu, and R. A. Antonia. "Relationship between temporal and spatial averages in grid turbulence." Journal of Fluid Mechanics 730 (August 2, 2013): 593–606. http://dx.doi.org/10.1017/jfm.2013.351.

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AbstractA long-time direct numerical simulation (DNS) based on the lattice Boltzmann method is carried out for grid turbulence with the view to compare spatially averaged statistical properties in planes perpendicular to the mean flow with their temporal counterparts. The results show that the two averages become equal a short distance downstream of the grid. This equality indicates that the flow has become homogeneous in a plane perpendicular to the mean flow. This is an important result, since it confirms that hot-wire measurements are appropriate for testing theoretical results based on spatially averaged statistics. It is equally important in the context of DNS of grid turbulence, since it justifies the use of spatial averaging along a lateral direction and over several realizations for determining various statistical properties. Finally, the very good agreement between temporal and spatial averages validates the comparison between temporal (experiments) and spatial (DNS) statistical properties. The results are also interesting because, since the flow is stationary in time and spatially homogeneous along lateral directions, the equality between the two types of averaging provides strong support for the ergodic hypothesis in grid turbulence in planes perpendicular to the mean flow.

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35

Mera, Robertino M., Linda A. Miller, and Anthony White. "Antibacterial Use andStreptococcus pneumoniaePenicillin Resistance: A Temporal Relationship Model." Microbial Drug Resistance 12, no. 3 (September 2006): 158–63. http://dx.doi.org/10.1089/mdr.2006.12.158.

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36

Salisbury, H., and W. Squiert. "The relationship between recurrent seizures and mesial temporal sclerosis." Seizure 7, no. 1 (February 1998): 78–79. http://dx.doi.org/10.1016/s1059-1311(98)90028-0.

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37

Webley, Georgina E., and Elizabeth A. Lenton. "The temporal relationship between melatonin and prolactin in women." Fertility and Sterility 48, no. 2 (August 1987): 218–22. http://dx.doi.org/10.1016/s0015-0282(16)59345-5.

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38

Laughlin, Daniel C., and Margaret M. Moore. "Climate-induced temporal variation in the productivity-diversity relationship." Oikos 118, no. 6 (June 2009): 897–902. http://dx.doi.org/10.1111/j.1600-0706.2009.17514.x.

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39

Strickland, Elizabeth A. "The relationship between precursor level and the temporal effect." Journal of the Acoustical Society of America 123, no. 2 (February 2008): 946–54. http://dx.doi.org/10.1121/1.2821977.

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40

Berger, D. S., and J. K. J. Li. "Temporal relationship between left ventricular and arterial system elastances." IEEE Transactions on Biomedical Engineering 39, no. 4 (April 1992): 404–10. http://dx.doi.org/10.1109/10.126613.

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41

Strickland, Elizabeth A. "The relationship between auditory filter bandwidth and temporal resolution." Journal of the Acoustical Society of America 97, no. 5 (May 1995): 3330. http://dx.doi.org/10.1121/1.412826.

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42

Hodges, L. D., M. Kirby, J. Solanki, J. O'Donnell, and D. A. Brodie. "The temporal relationship between erectile dysfunction and cardiovascular disease." International Journal of Clinical Practice 61, no. 12 (November 7, 2007): 2019–25. http://dx.doi.org/10.1111/j.1742-1241.2007.01629.x.

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43

Brambatti, Michela, Stuart J. Connolly, Michael R. Gold, Carlos A. Morillo, Alessandro Capucci, Carmine Muto, Chu P. Lau, et al. "Temporal Relationship Between Subclinical Atrial Fibrillation and Embolic Events." Circulation 129, no. 21 (May 27, 2014): 2094–99. http://dx.doi.org/10.1161/circulationaha.113.007825.

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44

Moosa, Imad A., Param Silvapulle, and Mervyn Silvapulle. "Testing for Temporal Asymmetry in the Price-Volume Relationship." Bulletin of Economic Research 55, no. 4 (October 2003): 373–89. http://dx.doi.org/10.1111/1467-8586.00182.

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45

Braegger, Christian. "Gastroesophageal Reflux and Apnea of Prematurity: No Temporal Relationship." Journal of Pediatric Gastroenterology and Nutrition 35, no. 3 (September 2002): 402–3. http://dx.doi.org/10.1097/00005176-200209000-00038.

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46

Morris, Robert G., and Heith Copes. "Exploring the Temporal Dynamics of the Neutralization/Delinquency Relationship." Criminal Justice Review 37, no. 4 (August 24, 2012): 442–60. http://dx.doi.org/10.1177/0734016812456548.

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47

Lee, Darae, Kyung-Soo Han, Chaeyoung Kwon, Kyeong-sang Lee, Minji Seo, Sungwon Choi, Noh-hun Seong, and Chang-suk Lee. "Relationship between temporal variability of TPW and climate variables." Korean Journal of Remote Sensing 32, no. 3 (June 30, 2016): 331–37. http://dx.doi.org/10.7780/kjrs.2016.32.3.11.

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48

Machiedo, George W. "Temporal Relationship of Hepatocellular Dysfunction and Ischemia in Sepsis." Archives of Surgery 123, no. 4 (April 1, 1988): 424. http://dx.doi.org/10.1001/archsurg.1988.01400280030005.

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49

HENTONA, HITOSHI, JIN OKUBO, HIDEKAZU TANAKA, YUZURU NAKAMURA, and ATSUSHI KOMATSUZAKI. "AREA AND VOLUME RELATIONSHIP OF TEMPORAL BONE AIR CELLS." Nippon Jibiinkoka Gakkai Kaiho 98, no. 6 (1995): 968–73. http://dx.doi.org/10.3950/jibiinkoka.98.968.

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50

Sherwood, David E., Richard A. Schmidt, and Charles B. Walter. "The Force/Force-Variability Relationship Under Controlled Temporal Conditions." Journal of Motor Behavior 20, no. 2 (June 1988): 106–16. http://dx.doi.org/10.1080/00222895.1988.10735436.

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