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Artigos de revistas sobre o tema "Modelling studies"

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Autor: Grafiati

Publicado: 22 de junho de 2024

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1

Bhateja, Pranshu. "Energy Efficiency Studies - Modelling and Analysis of Solar Tracker System". Journal of Advanced Research in Alternative Energy, Environment and Ecology 06, n.º 3&4 (25 de dezembro de 2019): 1–6. http://dx.doi.org/10.24321/2455.3093.201902.

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2

Nuijten, Mark J. C., e John Starzewski. "Applications of Modelling Studies". PharmacoEconomics 13, n.º 3 (1998): 289–91. http://dx.doi.org/10.2165/00019053-199813030-00003.

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3

Godsland, I. F., C. Walton, D. Crook e V. Wynn. "Insulin resistance ? modelling studies". European Journal of Epidemiology 8, S1 (maio de 1992): 136–38. http://dx.doi.org/10.1007/bf00145366.

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4

Zhuang, Y. "Modelling studies of microstrip reflectarrays". IEE Proceedings - Microwaves, Antennas and Propagation 142, n.º 1 (1995): 78. http://dx.doi.org/10.1049/ip-map:19951653.

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5

Bearchell, C. A., e D. M. Heyes. "Mesoscale modelling studies of microemulsions". Physical Chemistry Chemical Physics 3, n.º 23 (26 de novembro de 2001): 5255–65. http://dx.doi.org/10.1039/b105096f.

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6

Peter, T., R. Müller, S. Pawson e H. Volkert. "POLECAT: Preparatory and modelling studies". Physics and Chemistry of the Earth 20, n.º 1 (fevereiro de 1995): 109–21. http://dx.doi.org/10.1016/0079-1946(95)00013-z.

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7

Rowland-Yeo, Karen. "Modelling methods and case studies". Drug Metabolism and Pharmacokinetics 32, n.º 1 (janeiro de 2017): S4. http://dx.doi.org/10.1016/j.dmpk.2016.10.019.

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8

Wurbs, Ralph, Silvana Toneatti e Joe Sherwin. "Modelling Uncertainty in Flood Studies". International Journal of Water Resources Development 17, n.º 3 (setembro de 2001): 353–63. http://dx.doi.org/10.1080/07900620120065138.

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9

Nikolenko, Sergey I., Sergei Koltcov e Olessia Koltsova. "Topic modelling for qualitative studies". Journal of Information Science 43, n.º 1 (10 de julho de 2016): 88–102. http://dx.doi.org/10.1177/0165551515617393.

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Qualitative studies, such as sociological research, opinion analysis and media studies, can benefit greatly from automated topic mining provided by topic models such as latent Dirichlet allocation (LDA). However, examples of qualitative studies that employ topic modelling as a tool are currently few and far between. In this work, we identify two important problems along the way to using topic models in qualitative studies: lack of a good quality metric that closely matches human judgement in understanding topics and the need to indicate specific subtopics that a specific qualitative study may be most interested in mining. For the first problem, we propose a new quality metric, tf-idf coherence, that reflects human judgement more accurately than regular coherence, and conduct an experiment to verify this claim. For the second problem, we propose an interval semi-supervised approach (ISLDA) where certain predefined sets of keywords (that define the topics researchers are interested in) are restricted to specific intervals of topic assignments. Our experiments show that ISLDA is better for topic extraction than LDA in terms of tf-idf coherence, number of topics identified to predefined keywords and topic stability. We also present a case study on a Russian LiveJournal dataset aimed at ethnicity discourse analysis.

10

PERT, G. J. "MODELLING STUDIES OF XUV LASERS". Le Journal de Physique Colloques 47, n.º C6 (outubro de 1986): C6–177—C6–185. http://dx.doi.org/10.1051/jphyscol:1986625.

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11

King, M. A., D. J. Blundell, J. Howard, E. A. Colbourn e J. Kendrick. "Modelling Studies of Crystalline PEEK". Molecular Simulation 4, n.º 1-3 (outubro de 1989): 3–13. http://dx.doi.org/10.1080/08927028908021961.

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12

Dickers, K., e D. Rumpel. "Modelling for grid restoration studies". International Journal of Electrical Power & Energy Systems 9, n.º 1 (janeiro de 1987): 45–55. http://dx.doi.org/10.1016/0142-0615(87)90024-x.

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13

Gorman, M. J., e J. J. Grainger. "Transformer modelling for distribution system studies. I. Linear modelling basics". IEEE Transactions on Power Delivery 7, n.º 2 (abril de 1992): 567–74. http://dx.doi.org/10.1109/61.127050.

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14

Suzuki, Motoyuki. "Role of modelling in environmental studies." Japan journal of water pollution research 9, n.º 10 (1986): 612–17. http://dx.doi.org/10.2965/jswe1978.9.612.

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15

Gupta, A. K. "Modelling Studies on Axisymmetric Fire Plumes". Journal of Applied Fire Science 3, n.º 2 (1 de janeiro de 1993): 137–54. http://dx.doi.org/10.2190/nrdn-h968-xvdy-pkc3.

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16

Jefferson, Tom, e Vittorio Demicheli. "Methodological Quality of Economic Modelling Studies". PharmacoEconomics 14, n.º 3 (1998): 251–57. http://dx.doi.org/10.2165/00019053-199814030-00002.

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17

Wilde, Michelle. "Methodological Quality of Economic Modelling Studies". PharmacoEconomics 14, n.º 3 (1998): 335. http://dx.doi.org/10.2165/00019053-199814030-00009.

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18

Burch, Thomas K. "Agent-Based Modelling in Population Studies". Canadian Studies in Population 45, n.º 3-4 (30 de agosto de 2018): 201. http://dx.doi.org/10.25336/csp29415.

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19

Ridout, Martin S., e Byron J. T. Morgan. "Modelling Digit Preference in Fecundability Studies". Biometrics 47, n.º 4 (dezembro de 1991): 1423. http://dx.doi.org/10.2307/2532396.

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20

Esposito, G., A. Campa, M. Pinto, G. Simone, M. A. Tabocchini e M. Belli. "Adaptive response: modelling and experimental studies". Radiation Protection Dosimetry 143, n.º 2-4 (15 de dezembro de 2010): 320–24. http://dx.doi.org/10.1093/rpd/ncq474.

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21

Mistry, Kalpna S., Christopher A. Smith, Graeme Anderson e Alan Hinchliffe. "95 Molecular modelling studies of enterostatin". Biochemical Society Transactions 26, n.º 4 (1 de novembro de 1998): S379. http://dx.doi.org/10.1042/bst026s379.

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22

Cumberbatch, Ellis, e Alistair Fitt (ed). "Mathematical Modelling: Case studies from industry". Measurement Science and Technology 13, n.º 9 (14 de agosto de 2002): 1503. http://dx.doi.org/10.1088/0957-0233/13/9/712.

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23

Kumar, C. P. "BASIC GUIDELINES FOR GROUNDWATER MODELLING STUDIES". ISH Journal of Hydraulic Engineering 9, n.º 2 (janeiro de 2003): 11–21. http://dx.doi.org/10.1080/09715010.2003.10514730.

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24

Broadhurst, S. J., G. Cockerham, N. Taylor e T. Pridmore. "Automatic task modelling for sewer studies". Automation in Construction 5, n.º 1 (março de 1996): 61–71. http://dx.doi.org/10.1016/0926-5805(95)00018-6.

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25

Saeli, Manfredi, Clara Piccirillo, Ivan P. Parkin, Russell Binions e Ian Ridley. "Energy modelling studies of thermochromic glazing". Energy and Buildings 42, n.º 10 (outubro de 2010): 1666–73. http://dx.doi.org/10.1016/j.enbuild.2010.04.010.

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26

Davidson, W. "Receptor modelling in air pollution studies". TrAC Trends in Analytical Chemistry 11, n.º 6 (junho de 1992): XVI. http://dx.doi.org/10.1016/0165-9936(92)80050-g.

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27

Hewitt, C. N. "Receptor modelling in air pollution studies". TrAC Trends in Analytical Chemistry 11, n.º 4 (abril de 1992): xiv. http://dx.doi.org/10.1016/0165-9936(92)87082-u.

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28

Murtaza, M. A., e S. B. L. Garg. "Brake Modelling in Train Simulation Studies". Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 203, n.º 2 (julho de 1989): 87–95. http://dx.doi.org/10.1243/pime_proc_1989_203_215_02.

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This paper deals with brake modelling as used in train simulation study. Accuracy of predictions depend on the type of model used and the numerical techniques used in finding the solution. The model described is based on analysis of a pneumatic train circuit through which braking demand is impressed on each vehicle of the train and analysis of the vehicle pneumatic circuit which senses braking demand and correspondingly develops brake cylinder pressure. The results are in good agreement with the experimental data. It is found that detailed and exhaustive modelling requires large amounts of computing time.

29

Usher, J. R., e T. Muneer. "Case studies in solar radiation modelling". Mathematical and Computer Modelling 12, n.º 9 (1989): 1155–65. http://dx.doi.org/10.1016/0895-7177(89)90236-7.

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30

Hanby, V. I., e J. A. Wright. "HVAC optimisation studies: Component modelling methodology". Building Services Engineering Research and Technology 10, n.º 1 (fevereiro de 1989): 35–39. http://dx.doi.org/10.1177/014362448901000105.

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31

Pyy, Pekka, e Björn Wahlström. "Modelling the human in PSA studies". Reliability Engineering & System Safety 22, n.º 1-4 (janeiro de 1988): 277–94. http://dx.doi.org/10.1016/0951-8320(88)90079-8.

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32

Klein, John P. "Modelling competing risks in cancer studies". Statistics in Medicine 25, n.º 6 (2006): 1015–34. http://dx.doi.org/10.1002/sim.2246.

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33

Bhagwat, Sunil S., H. S. Bevinakatti e Mukesh Doble. "Transesterification of substituted ethanols - modelling studies". Biochemical Engineering Journal 22, n.º 3 (fevereiro de 2005): 253–59. http://dx.doi.org/10.1016/j.bej.2004.09.002.

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34

Doble, Mukesh, e K. Kumar. "Experimental and modelling studies on antifungal compounds". Open Chemistry 4, n.º 3 (1 de setembro de 2006): 428–39. http://dx.doi.org/10.2478/s11532-006-0022-4.

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AbstractAntifungal activity of organic compounds (aromatic, salicylic derivatives, cinnamyl derivatives etc) on Fusarium Rosium (14 compounds) and Aspergillus niger (17 compounds) was studied and QSAR models were developed relating molecular descriptors with the observed activity. Back propagation Neural Network models and single and multiple regression models were tested for predicting the observed activity. The data fit as well as the predictive capability of the neural network models were satisfactory (R2 = 0.84, q2 = 0.73 for Fusarium Rosium and R2 = 0.75, q2 = 0.62 for Aspergillus niger). The descriptors used in the network for the former were X4 (connectivity) and Jhetv (topological); and TIC1 (information) and SPI (topological) for the latter fungus. Antifungal activities of these organic compounds were generally lower against the latter than with the former fungus.

35

Crosbie, S. F., e B. F. J. Manly. "Parsimonious Modelling of Capture-Mark-Recapture Studies". Biometrics 41, n.º 2 (junho de 1985): 385. http://dx.doi.org/10.2307/2530864.

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36

Ecochard, René. "Heterogeneity in fecundability studies: issues and modelling". Statistical Methods in Medical Research 15, n.º 2 (abril de 2006): 141–60. http://dx.doi.org/10.1191/0962280206sm436oa.

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37

Ramirez, A. R., e R. A. Achilles. "Modelling series capacitor reinsertion in AC studies". IEEE Transactions on Power Delivery 4, n.º 2 (abril de 1989): 1217–22. http://dx.doi.org/10.1109/61.25606.

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38

Efthimiou, G., J. G. Bartzis, S. Andronopoulos e A. Sfetsos. "Air dispersion modelling for individual exposure studies". International Journal of Environment and Pollution 47, n.º 1/2/3/4 (2011): 302. http://dx.doi.org/10.1504/ijep.2011.047344.

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39

Ramirez, A. R., e R. A. Achilles. "Modelling Series Capacitor Reinsertion in AC Studies". IEEE Power Engineering Review 9, n.º 4 (1989): 81–82. http://dx.doi.org/10.1109/mper.1989.4310621.

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40

Frey, C. M. "Role of Modelling in Joint Action Studies". JNCI Journal of the National Cancer Institute 86, n.º 20 (19 de outubro de 1994): 1493. http://dx.doi.org/10.1093/jnci/86.20.1493.

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41

Zhang, Weiping, Chenlei Leng e Cheng Yong Tang. "A joint modelling approach for longitudinal studies". Journal of the Royal Statistical Society: Series B (Statistical Methodology) 77, n.º 1 (18 de abril de 2014): 219–38. http://dx.doi.org/10.1111/rssb.12065.

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42

Rajar, Rudi, Matjaz Cetina e Andrej Sirca. "Hydrodynamic and water quality modelling: case studies". Ecological Modelling 101, n.º 2-3 (agosto de 1997): 209–28. http://dx.doi.org/10.1016/s0304-3800(97)00052-5.

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43

Stolz, M., R. Winter, W. S. Howells e R. L. McGreevy. "Computer modelling studies of expanded liquid KPb". Journal of Physics: Condensed Matter 7, n.º 29 (17 de julho de 1995): 5733–43. http://dx.doi.org/10.1088/0953-8984/7/29/003.

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44

Cheetham, Norman W. H., Paramita Dasgupta e Graham E. Ball. "NMR and modelling studies of disaccharide conformation". Carbohydrate Research 338, n.º 9 (abril de 2003): 955–62. http://dx.doi.org/10.1016/s0008-6215(03)00069-7.

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45

García-Gracia, Miguel, M. Paz Comech, Jesús Sallán e Andrés Llombart. "Modelling wind farms for grid disturbance studies". Renewable Energy 33, n.º 9 (setembro de 2008): 2109–21. http://dx.doi.org/10.1016/j.renene.2007.12.007.

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46

Lam, Ka Leung, Adetoyese Olajire Oyedun e Chi Wai Hui. "Experimental and Modelling Studies of Biomass Pyrolysis". Chinese Journal of Chemical Engineering 20, n.º 3 (junho de 2012): 543–50. http://dx.doi.org/10.1016/s1004-9541(11)60217-6.

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47

Jabłońska, A., A. Burian, A. M. Burian, P. Lecante e A. Mosset. "Modelling studies of amorphous In–Se films". Journal of Alloys and Compounds 328, n.º 1-2 (outubro de 2001): 214–17. http://dx.doi.org/10.1016/s0925-8388(01)01321-4.

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48

Berry, Paula, e John Marshall. "Ocean modelling studies in support of altimetry". Dynamics of Atmospheres and Oceans 13, n.º 3-4 (junho de 1989): 269–300. http://dx.doi.org/10.1016/0377-0265(89)90042-0.

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49

Chryssanthopoulos, M. K., e C. Poggi. "Stochastic imperfection modelling in shell buckling studies". Thin-Walled Structures 23, n.º 1-4 (1995): 179–200. http://dx.doi.org/10.1016/0263-8231(95)00011-2.

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50

Atilla Öner, M., e Fatih Karaca. "Introduction: Modelling and simulation in futures studies". Futures 81 (agosto de 2016): 1–3. http://dx.doi.org/10.1016/j.futures.2016.05.005.

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