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1

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 (1996): 77–94. http://dx.doi.org/10.1127/archiv-hydrobiol/137/1996/77.

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Mishra, Aamlan Saswat. "Selection of Parameters and Parametric Design of Smart Bus Stops to Improve the Socio-temporal Landscape in Bhubaneswar, Odisha, India." Journal of Advanced Research in Construction and Urban Architecture 05, no. 3&4 (2020): 1–10. http://dx.doi.org/10.24321/2456.9925.202002.

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Transportation is an important activity under Sustainable Development Goals of the United Nations. Bus stops are a crucial included element, which requires an architectural design for user satisfaction using functional and ethical design parameters. A study has been conducted at Bhubaneswar, Odisha, India to find the scope for development in the present bus stop infrastructures for better user satisfaction. Major bus routes in the town involving intra-city routes and intercity routes have been selected. Thirty-seven bus stops are selected for survey and analysis. User requirements in the bus s
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3

Anwar, AHM Mehbub, Kiet Tieu, Peter Gibson, et al. "TEMPORAL AND PARAMETRIC STUDY OF TRAVELLER PREFERENCE HETEROGENEITY USING RANDOM PARAMETER LOGIT MODEL." INTERNATIONAL JOURNAL FOR TRAFFIC AND TRANSPORT ENGINEERING 4, no. 4 (2014): 437–55. http://dx.doi.org/10.7708/ijtte.2014.4(4).07.

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4

Di Giampaolo, Barbara, Salvatore La Torre, and Margherita Napoli. "Parametric metric interval temporal logic." Theoretical Computer Science 564 (January 2015): 131–48. http://dx.doi.org/10.1016/j.tcs.2014.11.019.

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5

Kadashevich, Y. I., and S. P. Pomytkin. "Influence of gradient tensor shape in geometrically nonlinear endochronic theory of creep." Izvestiya MGTU MAMI 8, no. 2-4 (2014): 32–35. http://dx.doi.org/10.17816/2074-0530-67404.

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The authors consider the tensor-parametric version of endochronic theory of inelasticity for large deformations and rotations, taking into account temporal effects. The paper examines the influence of a parameter presented in the deformation gradient, and hardening parameter on the shape and magnitude of the curve "creep~time." The corresponding examples are given in the article
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6

Alur, Rajeev, Kousha Etessami, Salvatore La Torre, and Doron Peled. "Parametric temporal logic for “model measuring”." ACM Transactions on Computational Logic 2, no. 3 (2001): 388–407. http://dx.doi.org/10.1145/377978.377990.

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7

Dixit, Manoj G., S. Ramesh, and Pallab Dasgupta. "Some results on Parametric Temporal Logic." Information Processing Letters 111, no. 20 (2011): 994–98. http://dx.doi.org/10.1016/j.ipl.2011.07.002.

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8

Schwab, Christoph, and Claude Jeffrey Gittelson. "Sparse tensor discretizations of high-dimensional parametric and stochastic PDEs." Acta Numerica 20 (April 28, 2011): 291–467. http://dx.doi.org/10.1017/s0962492911000055.

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Partial differential equations (PDEs) with random input data, such as random loadings and coefficients, are reformulated as parametric, deterministic PDEs on parameter spaces of high, possibly infinite dimension. Tensorized operator equations for spatial and temporal k-point correlation functions of their random solutions are derived. Parametric, deterministic PDEs for the laws of the random solutions are derived. Representations of the random solutions' laws on infinite-dimensional parameter spaces in terms of ‘generalized polynomial chaos’ (GPC) series are established. Recent results on the
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9

Mosthaf, Tobias, and András Bárdossy. "Regionalizing nonparametric models of precipitation amounts on different temporal scales." Hydrology and Earth System Sciences 21, no. 5 (2017): 2463–81. http://dx.doi.org/10.5194/hess-21-2463-2017.

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Abstract. Parametric distribution functions are commonly used to model precipitation amounts corresponding to different durations. The precipitation amounts themselves are crucial for stochastic rainfall generators and weather generators. Nonparametric kernel density estimates (KDEs) offer a more flexible way to model precipitation amounts. As already stated in their name, these models do not exhibit parameters that can be easily regionalized to run rainfall generators at ungauged locations as well as at gauged locations. To overcome this deficiency, we present a new interpolation scheme for n
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10

Usman, Surajo Aminu, Aminu Ahmed Aliko, and Abba Sabo. "Assessment of Temporal Changes in Water Quality on Selected Parameters in Cole Mere." International Journal of Environmental Science and Development 6, no. 2 (2015): 100–103. http://dx.doi.org/10.7763/ijesd.2015.v6.569.

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11

Mikhalevich, V. G., and V. N. Streltsov. "Temporal field dynamics in parametric acoustic resonator." Physics of Wave Phenomena 18, no. 4 (2010): 294–96. http://dx.doi.org/10.3103/s1541308x10040114.

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12

Farbood, Morwaread M. "A Parametric, Temporal Model of Musical Tension." Music Perception 29, no. 4 (2012): 387–428. http://dx.doi.org/10.1525/mp.2012.29.4.387.

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tension in music is a high-level concept that is difficult to formalize due to its complex, multidimensional nature. This paper proposes a quantitative model of musical tension that takes into account the dynamic, temporal aspects of listening. The model is based on data from two experiments. The first was a web-based study that was designed to examine how individual musical parameters contribute directly to a listener's overall perception of tension and how those parameters interact. The second study was an in-lab experiment in which listeners were asked to provide continuous responses to lon
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13

Zhang, Chi, Xiaoming Wei, and Kenneth K. Y. Wong. "Performance of parametric spectro-temporal analyzer (PASTA)." Optics Express 21, no. 26 (2013): 32111. http://dx.doi.org/10.1364/oe.21.032111.

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14

Strömqvist, Gustav, Valdas Pasiskevicius, Carlota Canalias, Pierre Aschieri, Antonio Picozzi, and Carlos Montes. "Temporal coherence in mirrorless optical parametric oscillators." Journal of the Optical Society of America B 29, no. 6 (2012): 1194. http://dx.doi.org/10.1364/josab.29.001194.

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15

Zhou, Haidong, Ningning Yang, Guoqing Liu, et al. "Large-Temporal-Numerical-Aperture Parametric Spectro-Temporal Analyzer Based on Silicon Waveguide." IEEE Photonics Journal 11, no. 5 (2019): 1–10. http://dx.doi.org/10.1109/jphot.2019.2934767.

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16

Guracar, Ismavil M. "Energy weighted parameter spatial∕temporal filter." Journal of the Acoustical Society of America 102, no. 4 (1997): 1929. http://dx.doi.org/10.1121/1.419686.

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17

Hilal, E., S. Alkhateeb, E. M. Khalil, S. Abdel-Khalek, Hammad Alotaibi, and Amjaad A. Almowalled. "Characteristics of the temporal behavior of quantum Fisher information and entanglement between radiation field and two atoms under atomic motion effect." Modern Physics Letters B 35, no. 15 (2021): 2150259. http://dx.doi.org/10.1142/s0217984921502596.

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The influence of time dependence on the model which consists of two qubits interacting with a two-mode electromagnetic field of the parametric amplifier type is investigated. The analytical solution of the wave function is obtained. The quantum Fisher information, entanglement and population inversion for a time-dependent system are analyzed. The photon statistics of a single-mode are quantified by the evolution of the Mandel parameter. Our results showed that there exists a positive relationship between the time-dependent parameter and entanglement. In other words, the time-dependent paramete
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18

Rhanghyeyun Kim. "Parametric Variation on Missing Tenses in Temporal Adjuncts." Studies in Generative Grammar 24, no. 4 (2014): 699–718. http://dx.doi.org/10.15860/sigg.24.4.201412.699.

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19

Grillenzoni, Carlo. "Non-parametric smoothing of spatio-temporal point processes." Journal of Statistical Planning and Inference 128, no. 1 (2005): 61–78. http://dx.doi.org/10.1016/j.jspi.2003.09.030.

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20

Stabinis, A., and J. Krupic. "Spatial–temporal frequency band of optical parametric amplifier." Optics Communications 271, no. 2 (2007): 564–68. http://dx.doi.org/10.1016/j.optcom.2006.10.062.

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21

Bennett, C. V., and B. H. Kolner. "Principles of parametric temporal imaging. I. System configurations." IEEE Journal of Quantum Electronics 36, no. 4 (2000): 430–37. http://dx.doi.org/10.1109/3.831018.

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22

Bennett, C. V., and B. H. Kolner. "Principles of parametric temporal imaging. II. System performance." IEEE Journal of Quantum Electronics 36, no. 6 (2000): 649–55. http://dx.doi.org/10.1109/3.845718.

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23

Coughlan, Matthew A., Mateusz Plewicki, and Robert J. Levis. "Parametric Spatio-Temporal Control of Focusing Laser Pulses." Optics Express 17, no. 18 (2009): 15808. http://dx.doi.org/10.1364/oe.17.015808.

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24

Kulkarni, Girish, Prashant Kumar, and Anand K. Jha. "Transfer of temporal coherence in parametric down-conversion." Journal of the Optical Society of America B 34, no. 8 (2017): 1637. http://dx.doi.org/10.1364/josab.34.001637.

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25

Четырбоцкий, В. А., А. Н. Четырбоцкий та Б. В. Левин. "МАТЕМАТИЧЕСКОЕ МОДЕЛИРОВАНИЕ ДИНАМИКИ МИНЕРАЛЬНОГО ПИТАНИЯ РАСТЕНИЙ В СИСТЕМЕ «УДОБРЕНИЕ-ПОЧВА-РАСТЕНИЕ»". Биофизика 65, № 6 (2020): 1219–29. http://dx.doi.org/10.31857/s0006302920060228.

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A numerical simulation of the spatial-temporal dynamics of a multi-parameter system is developed. The components of this system are plant biomass, mobile and stationary forms of mineral nutrition elements, rhizosphere microorganisms and environmental parameters (temperature, humidity, acidity). Parametric identification and verification of the adequacy of the model were carried out based on the experimental data on the growth of spring wheat «Krasnoufimskaya-100» on peat lowland soil. The results are represented by temporal distributions of biomass from agricultural crop under study and the fi
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26

Saint-Guillain, Michael, Tiago Vaquero, Steve Chien, Jagriti Agrawal, and Jordan Abrahams. "Probabilistic Temporal Networks with Ordinary Distributions: Theory, Robustness and Expected Utility." Journal of Artificial Intelligence Research 71 (August 27, 2021): 1091–136. http://dx.doi.org/10.1613/jair.1.13019.

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Most existing works in Probabilistic Simple Temporal Networks (PSTNs) base their frameworks on well-defined, parametric probability distributions. Under the operational contexts of both strong and dynamic control, this paper addresses robustness measure of PSTNs, i.e. the execution success probability, where the probability distributions of the contingent durations are ordinary, not necessarily parametric, nor symmetric (e.g. histograms, PERT), as long as these can be discretized. In practice, one would obtain ordinary distributions by considering empirical observations (compiled as histograms
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27

Agni, Priti Nisheet, and Riddhi Naresh Doshi. "INFLUENCE OF FEAR OF FALL ON SPATIAL AND TEMPORAL PARAMETERS OF GAIT IN COMMUNITY-DWELLING ELDERLY." International Journal of Physiotherapy and Research 5, no. 4 (2017): 2276–81. http://dx.doi.org/10.16965/ijpr.2017.190.

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28

Baxter, J., A. Tridgell, and L. Weaver. "Experiments in Parameter Learning Using Temporal Differences." ICGA Journal 21, no. 2 (1998): 84–99. http://dx.doi.org/10.3233/icg-1998-21203.

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29

Sun, Yuandao, Brian L. Mark, and Yariv Ephraim. "Online Parameter Estimation for Temporal Spectrum Sensing." IEEE Transactions on Wireless Communications 14, no. 8 (2015): 4105–14. http://dx.doi.org/10.1109/twc.2015.2416720.

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30

Obeysekera, J. T. B., G. Q. Tabios, and J. D. Salas. "On parameter estimation of temporal rainfall models." Water Resources Research 23, no. 10 (1987): 1837–50. http://dx.doi.org/10.1029/wr023i010p01837.

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31

Van Dijk-Kappers, Astrid M. L. "Comparison of parameter sets for temporal decomposition." Speech Communication 8, no. 3 (1989): 203–20. http://dx.doi.org/10.1016/0167-6393(89)90002-2.

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32

Daly, E. M., and A. I. Ferguson. "Spatial and temporal dependence of single-pass parametric gain." Journal of Modern Optics 48, no. 4 (2001): 729–44. http://dx.doi.org/10.1080/09500340108230944.

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33

Harimoto, Tetsuo. "Evaluation of Stable Optical Parametric Amplification Involving Temporal Distribution." Japanese Journal of Applied Physics 42, Part 1, No. 6A (2003): 3415–18. http://dx.doi.org/10.1143/jjap.42.3415.

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34

Lin, Guoping, Romain Martinenghi, Souleymane Diallo, Khaldoun Saleh, Aurélien Coillet, and Yanne K. Chembo. "Spectro-temporal dynamics of Kerr combs with parametric seeding." Applied Optics 54, no. 9 (2015): 2407. http://dx.doi.org/10.1364/ao.54.002407.

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35

Zhou Nan, 周南, 李大为 Li Dawei, 崔勇 Cui Yong, 徐光 Xu Guang, and 王韬 Wang Tao. "Temporal Coherence of Parametric Fluorescence Pumped by Picosecond Pulses." Chinese Journal of Lasers 45, no. 7 (2018): 0708001. http://dx.doi.org/10.3788/cjl201845.0708001.

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36

Shah, Rahul C., Randall P. Johnson, Tsutomu Shimada, Kirk A. Flippo, Juan C. Fernandez, and B. M. Hegelich. "High-temporal contrast using low-gain optical parametric amplification." Optics Letters 34, no. 15 (2009): 2273. http://dx.doi.org/10.1364/ol.34.002273.

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37

Huang, Lumeng, Robert W. Ritzi, and Ramya Ramanathan. "Conservative Models: Parametric Entropy vs. Temporal Entropy in Outcomes." Ground Water 50, no. 2 (2011): 199–206. http://dx.doi.org/10.1111/j.1745-6584.2011.00832.x.

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38

Phlips, E. J., F. J. Aldridge, P. Hansen, et al. "Spatial and temporal variability of trophic state parameters in a shallow subtropical lake (Lake Okeechobee, Florida, USA)." Archiv für Hydrobiologie 128, no. 4 (1993): 437–58. http://dx.doi.org/10.1127/archiv-hydrobiol/128/1993/437.

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39

Steinschneider, Mitchell, Igor O. Volkov, M. Daniel Noh, P. Charles Garell, and Matthew A. Howard. "Temporal Encoding of the Voice Onset Time Phonetic Parameter by Field Potentials Recorded Directly From Human Auditory Cortex." Journal of Neurophysiology 82, no. 5 (1999): 2346–57. http://dx.doi.org/10.1152/jn.1999.82.5.2346.

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Voice onset time (VOT) is an important parameter of speech that denotes the time interval between consonant onset and the onset of low-frequency periodicity generated by rhythmic vocal cord vibration. Voiced stop consonants (/b/, /g/, and /d/) in syllable initial position are characterized by short VOTs, whereas unvoiced stop consonants (/p/, /k/, and t/) contain prolonged VOTs. As the VOT is increased in incremental steps, perception rapidly changes from a voiced stop consonant to an unvoiced consonant at an interval of 20–40 ms. This abrupt change in consonant identification is an example of
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40

BLIOKH, K. YU, and O. V. USATENKO. "TWO-SCALE GEOMETRICAL RESONANCE: FROM PARAMETRIC RESONANCE IN AN OSCILLATOR TO THERMODYNAMIC CYCLES." International Journal of Modern Physics B 16, no. 32 (2002): 4865–85. http://dx.doi.org/10.1142/s0217979202014930.

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The paper deals with influence of two-scale variations of parameters on the behavior of different dynamical systems. By two-scale we mean parameter oscillations occur in an alternating manner with large and small temporal gradient, on a typical period intervals. The shape of such parameter dependence resembles relaxation oscillations. Parametric instability is revealed under these conditions. We call it two-scale geometric resonance (TGR). TGR can be described with the help of certain geometric structures on the extended phase space. TGR possesses similar properties and can be described in sim
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41

Schönwiesner, Marc, Nikolai Novitski, Satu Pakarinen, Synnöve Carlson, Mari Tervaniemi, and Risto Näätänen. "Heschl's Gyrus, Posterior Superior Temporal Gyrus, and Mid-Ventrolateral Prefrontal Cortex Have Different Roles in the Detection of Acoustic Changes." Journal of Neurophysiology 97, no. 3 (2007): 2075–82. http://dx.doi.org/10.1152/jn.01083.2006.

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A part of the auditory system automatically detects changes in the acoustic environment. This preattentional process has been studied extensively, yet its cerebral origins have not been determined with sufficient accuracy to allow comparison to established anatomical and functional parcellations. Here we used event-related functional MRI and EEG in a parametric experimental design to determine the cortical areas in individual brains that participate in the detection of acoustic changes. Our results suggest that automatic change processing consists of at least three stages: initial detection in
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42

Clarke, Sam, Sam Rigby, Steve Fay, et al. "Characterisation of buried blast loading." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 476, no. 2236 (2020): 20190791. http://dx.doi.org/10.1098/rspa.2019.0791.

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While it is well known that detonation of shallow-buried high explosive charges generally results in above-surface loading which is greatly amplified compared with the same detonation in air, uncertainty persists as to the mechanisms leading to this effect. The work presented in this paper is a systematic investigation into the mechanisms of load transfer in buried blast events. This paper details the results from a parametric study into the mechanisms and magnitudes of load transfer following a shallow-buried explosion, where spatial and temporal load distributions are directly measured on a
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43

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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44

Liebermeister, Wolfram. "Response to temporal parameter fluctuations in biochemical networks." Journal of Theoretical Biology 234, no. 3 (2005): 423–38. http://dx.doi.org/10.1016/j.jtbi.2004.12.010.

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45

Phillies, George D. J. "Polymer solution viscoelasticity from two-parameter temporal scaling." Journal of Chemical Physics 110, no. 12 (1999): 5989–92. http://dx.doi.org/10.1063/1.478500.

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46

Xiang, Fei, and Peter Neal. "Efficient MCMC for temporal epidemics via parameter reduction." Computational Statistics & Data Analysis 80 (December 2014): 240–50. http://dx.doi.org/10.1016/j.csda.2014.07.002.

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47

Park, Tae-Sun, Kyung Joo Min, and Seung-Woo Hong. "Effects of transient nonthermal particles on the big bang nucleosynthesis." International Journal of Modern Physics E 29, no. 03 (2020): 2050012. http://dx.doi.org/10.1142/s0218301320500123.

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The effects of introducing a small amount of nonthermal distribution (NTD) of elements in big bang nucleosynthesis (BBN) are studied by allowing a fraction of the NTD to be time-dependent so that it contributes only during a certain period of the BBN evolution. The fraction is modeled as a Gaussian-shaped function of [Formula: see text], where [Formula: see text] is the temperature of the cosmos, and thus the function is specified by three parameters; the central temporal position, the width and the magnitude. The change in the average nuclear reaction rates due to the presence of the NTD is a
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48

ASSANTO, GAETANO, CLAUDIO CONTI, MICHELE DE SARIO, and STEFANO TRILLO. "PARAMETRIC OPTICAL SOLITONS IN BRAGG RESONANT MEDIA." Journal of Nonlinear Optical Physics & Materials 09, no. 01 (2000): 69–78. http://dx.doi.org/10.1142/s0218863500000078.

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Temporal solitary waves in material systems yielding a quadratic nonlinear response and in the presence of a Bragg grating are theoretically identified and numerically investigated for the specific case of second-harmonic generation. Their peculiar and intriguing features are reviewed and discussed in view of potential applications.
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Gao, Xue Fei, Guo Yang, Jing Wang, Xiang Xie, and Jing Ming Kuang. "A Backward Compatible Multichannel Audio Compression Method." Advanced Materials Research 756-759 (September 2013): 977–81. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.977.

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This paper proposes a backward-compatible multichannel audio codec based on downmix and upmix operation. The codec represents a multichannel audio input signal with downmixed mono signal and spatial parametric data. The encoding method consists of three parts: spatial temporal analysis of audio signal, compressing multi-channel audio into mono audio and encoding mono signals. The proposed codec combines high audio quality and low parameter coding rate and the method is simpler and more effective than the conventional methods. With this method, its possible to transmit or store multi-channel au
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50

Du, Xin, Yulong Pei, Wouter Duivesteijn, and Mykola Pechenizkiy. "Exceptional spatio-temporal behavior mining through Bayesian non-parametric modeling." Data Mining and Knowledge Discovery 34, no. 5 (2020): 1267–90. http://dx.doi.org/10.1007/s10618-020-00674-z.

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Abstract Collective social media provides a vast amount of geo-tagged social posts, which contain various records on spatio-temporal behavior. Modeling spatio-temporal behavior on collective social media is an important task for applications like tourism recommendation, location prediction and urban planning. Properly accomplishing this task requires a model that allows for diverse behavioral patterns on each of the three aspects: spatial location, time, and text. In this paper, we address the following question: how to find representative subgroups of social posts, for which the spatio-tempor
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