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Journal articles on the topic 'DEMC'

Author: Grafiati

Published: 11 March 2023

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1

Graves, Lisa V., Emily C. Edmonds, Kelsey R. Thomas, Alexandra J. Weigand, Shanna Cooper, and Mark W. Bondi. "Evidence for the Utility of Actuarial Neuropsychological Criteria Across the Continuum of Normal Aging, Mild Cognitive Impairment, and Dementia." Journal of Alzheimer's Disease 78, no. 1 (2020): 371–86. http://dx.doi.org/10.3233/jad-200778.

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Background: Research suggests that actuarial neuropsychological criteria improve the accuracy of mild cognitive impairment (MCI) diagnoses relative to conventional diagnostic methods. Objective: We sought to examine the utility of actuarial criteria relative to consensus diagnostic methods used in the National Alzheimer’s Coordinating Center (NACC) Uniform Data Set (UDS), and more broadly across the continuum of normal aging, MCI, and dementia. Methods: We compared rates of cognitively normal (CN), MCI, and dementia diagnoses at baseline using actuarial versus consensus diagnostic methods in 1

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2

Uvarov, A. Yu. "FROM COMPUTER LITERACY TO DIGITAL TRANSFORMATION OF EDUCATION." Informatics and education, no. 4 (June 24, 2019): 5–11. http://dx.doi.org/10.32517/0234-0453-2019-34-4-5-11.

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The publishing of the 300th issue of the INFO magazine coincided with the approval of the Passport of the National Digital Economy Program. One of the Program' task is the development of the promising Digital Educational and Methodological Complexes (DEMC) that should transform the informatics’ classes at the public school. This event is considered as a step to the digital transformation of the Russian school. Digital transformation is considered as harnessing digital technologies to increase the productivity and value of an enterprise. Digital transformation of education is considered as the

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3

Yang, Xin, Dawei Wang, Wenbo Hu, et al. "DEMC: A Deep Dual-Encoder Network for Denoising Monte Carlo Rendering." Journal of Computer Science and Technology 34, no. 5 (2019): 1123–35. http://dx.doi.org/10.1007/s11390-019-1964-2.

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4

Barbarella, Maurizio, Alessandro Di Benedetto, and Margherita Fiani. "A Method for Obtaining a DEM with Curved Abscissa from MLS Data for Linear Infrastructure Survey Design." Remote Sensing 14, no. 4 (2022): 889. http://dx.doi.org/10.3390/rs14040889.

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The sudden deterioration of the condition of linear infrastructure networks makes road management a complex task. Knowledge of the surface condition of the pavement is a requirement in order to estimate the causes of instabilities, select the appropriate action and identify all those sections that require urgent intervention. The mobile laser scanning (MLS) technique allows for a fast and safe diagnosis, thus making it possible to plan an early intervention program quickly and cost-effectively. This paper describes a methodology implemented with a twofold purpose: (i) the optimal definition, d

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5

Alsharifi, Thamir, and Da-Ren Chen. "Effect of Inner Rod Tilting on the Performance of a Cylindrical Differential Electrical Mobility Analyzer (DEMC)." Aerosol and Air Quality Research 19, no. 10 (2019): 2151–59. http://dx.doi.org/10.4209/aaqr.2019.01.0037.

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6

Sarsito, Dina Anggreni, and Brian Bramanto. "DIGITAL ELEVATION MODEL ALTERNATIVES ASSESSMENT FOR DEFORMATION ANALYSIS PURPOSES USING GNSS AND INSAR." Jurnal Meteorologi dan Geofisika 23, no. 1 (2022): 27. http://dx.doi.org/10.31172/jmg.v23i1.845.

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<p><em>Digital Elevation Model (DEM) is the starting point in the analysis performed to explain the deformation pattern changes from the Earth's surface. The estimated value of deformation based on point-wise GPS and InSAR data with a better spatial resolution must be defined in a reference frame system that reflects the phenomenon of deformation of the real physical world, e.g., orthometric height for the vertical component. Therefore, this study aims to provide alternative DEM models based on a suitable combination between the Global Geopotential Model of Earth Geopotential Model

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7

Lee, Chin Hong, Nathaniel P. Hawker, Jonathan R. Peters, et al. "DEFECTIVE EMBRYO AND MERISTEMS genes are required for cell division and gamete viability in Arabidopsis." PLOS Genetics 17, no. 5 (2021): e1009561. http://dx.doi.org/10.1371/journal.pgen.1009561.

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The DEFECTIVE EMBRYO AND MERISTEMS 1 (DEM1) gene encodes a protein of unknown biochemical function required for meristem formation and seedling development in tomato, but it was unclear whether DEM1’s primary role was in cell division or alternatively, in defining the identity of meristematic cells. Genome sequence analysis indicates that flowering plants possess at least two DEM genes. Arabidopsis has two DEM genes, DEM1 and DEM2, which we show are expressed in developing embryos and meristems in a punctate pattern that is typical of genes involved in cell division. Homozygous dem1 dem2 doubl

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8

Sadeghi, A. M. M., F. A. Dorkoosh, M. R. Avadi, P. Saadat, M. Rafiee-Tehrani, and H. E. Junginger. "Preparation, characterization and antibacterial activities of chitosan, N-trimethyl chitosan (TMC) and N-diethylmethyl chitosan (DEMC) nanoparticles loaded with insulin using both the ionotropic gelation and polyelectrolyte complexation methods." International Journal of Pharmaceutics 355, no. 1-2 (2008): 299–306. http://dx.doi.org/10.1016/j.ijpharm.2007.11.052.

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9

Lee, Hyo-Seong, and Dong-Yeob Han. "Comparison of SPOT-5 DEM Control with SRTM DEM." Korean Journal of Geomatics 29, no. 2 (2011): 193–99. http://dx.doi.org/10.7848/ksgpc.2011.29.2.193.

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10

Hasan Khan, Muhammad Imran, Ehsan Ullah, Zohaib Abbas Khan, Salman Shakeel, and Amina Javid Qaiser. "HbA1c CONTROL." Professional Medical Journal 23, no. 07 (2016): 875–82. http://dx.doi.org/10.29309/tpmj/2016.23.07.1655.

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Background: Diabetes Mellitus (DM) is a serious worldwide health concern.Pakistan is among the top 10 countries with the highest prevalence of diabetes in the worldwith estimates reaching as high as 21.6% in adults aged 30–79 years. HbA1C is the most usefuldiagnostic tool to assess the control and progression of disease and related complications.However, the predictors of good and bad control are not well established in our population.Objective: 1). To assess the level of A1C control among type 2 diabetic patients. 2). To find outfactors which can predict uncontrolled A1C. Study Design: Retros

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11

Mieruch, Sebastian, Stefan Noël, Maximilian Reuter, et al. "A New Method for the Comparison of Trend Data with an Application to Water Vapor." Journal of Climate 24, no. 12 (2011): 3124–41. http://dx.doi.org/10.1175/2011jcli3669.1.

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Abstract Global total column water vapor trends have been derived from both the Global Ozone Monitoring Experiment (GOME) and the Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY) satellite data and from globally distributed radiosonde measurements, archived and quality controlled by the Deutscher Wetterdienst (DWD). The control of atmospheric water vapor amount by the hydrological cycle plays an important role in determining surface temperature and its response to the increase in man-made greenhouse effect. As a result of its strong infrared absorption, water v

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12

Belmonte, A. A., M. M. P. Biong, and E. G. Macatulad. "DEM GENERATION FROM CLOSE-RANGE PHOTOGRAMMETRY USING EXTENDED PYTHON PHOTOGRAMMETRY TOOLBOX." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W5 (October 5, 2017): 11–19. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w5-11-2017.

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Digital elevation models (DEMs) are widely used raster data for different applications concerning terrain, such as for flood modelling, viewshed analysis, mining, land development, engineering design projects, to name a few. DEMs can be obtained through various methods, including topographic survey, LiDAR or photogrammetry, and internet sources. Terrestrial close-range photogrammetry is one of the alternative methods to produce DEMs through the processing of images using photogrammetry software. There are already powerful photogrammetry software that are commercially-available and can produce

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13

Bayer, Domnik, Florina Jung, Birgit Kintzel, et al. "On the Use of Potential Denaturing Agents for Ethanol in Direct Ethanol Fuel Cells." International Journal of Electrochemistry 2011 (2011): 1–8. http://dx.doi.org/10.4061/2011/154039.

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Acidic or alkaline direct ethanol fuel cells (DEFCs) can be a sustainable alternative for power generation if they are fuelled with bio-ethanol. However, in order to keep the fuel cheap, ethanol has to be exempted from tax on spirits by denaturing. In this investigation the potential denaturing agents fusel oil, tert-butyl ethyl ether, and Bitrex were tested with regard to their compatibility with fuel cells. Experiments were carried out both in sulphuric acid and potassium hydroxide solution. Beside, basic electrochemical tests, differential electrochemical mass spectrometry (DEMS) and fuel c

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14

Vasi, József, Lars Frykberg, Lena E. Carlsson, Martin Lindberg, and Bengt Guss. "M-Like Proteins of Streptococcus dysgalactiae." Infection and Immunity 68, no. 1 (2000): 294–302. http://dx.doi.org/10.1128/iai.68.1.294-302.2000.

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ABSTRACT Streptococcus dysgalactiae is one of the most important bacterial species isolated from bovine mastitis. To identify potential virulence factors of this species we prepared chromosomal DNA from strain 8215 and constructed a phage display library. By affinity selection of the library against fibrinogen (Fg), we isolated and characterized a gene, called demA, encoding a protein with the molecular mass of ∼58 kDa, called DemA, displaying both plasma protein binding properties and sequence similarities with the M and M-like proteins of other streptococcal species. Purified recombinant Dem

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15

Schmidt, Mark, Florian Heimgaertner, and Michael Menth. "Demo." ACM SIGCOMM Computer Communication Review 44, no. 4 (2015): 363–64. http://dx.doi.org/10.1145/2740070.2631429.

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16

Pichler, Reinhard, and Vadim Savenkov. "DEMo." Proceedings of the VLDB Endowment 2, no. 2 (2009): 1606–9. http://dx.doi.org/10.14778/1687553.1687603.

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17

Zhang, Xi, Junaid Ansari, and Petri Mähönen. "Demo." ACM SIGCOMM Computer Communication Review 42, no. 4 (2012): 277–78. http://dx.doi.org/10.1145/2377677.2377729.

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18

Suresh, Lalith, Julius Schulz-Zander, Ruben Merz, and Anja Feldmann. "Demo." ACM SIGCOMM Computer Communication Review 42, no. 4 (2012): 279–80. http://dx.doi.org/10.1145/2377677.2377730.

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19

Li, Rong-lu, Shu-hui Zhong, Do-han Kim, and Jun-de Wu. "Demi-linear analysis II —demi-distributions." Applied Mathematics-A Journal of Chinese Universities 36, no. 2 (2021): 187–206. http://dx.doi.org/10.1007/s11766-021-3754-1.

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AbstractIn this paper, we develop the theory of demi-distributions which generalizes the usual distribution theory. In particular, we show that many results on differentiations, Fourier transforms, and convolutions can be generalized to demi-distributions theory.

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20

Ardizzone, F., M. Cardinali, M. Galli, F. Guzzetti, and P. Reichenbach. "Identification and mapping of recent rainfall-induced landslides using elevation data collected by airborne Lidar." Natural Hazards and Earth System Sciences 7, no. 6 (2007): 637–50. http://dx.doi.org/10.5194/nhess-7-637-2007.

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Abstract. A high resolution Digital Elevation Model with a ground resolution of 2 m×2 m (DEM2) was obtained for the Collazzone area, central Umbria, through weighted linear interpolation of elevation points acquired by Airborne Lidar Swath Mapping. Acquisition of the elevation data was performed on 3 May 2004, following a rainfall period that resulted in numerous landslides. A reconnaissance field survey conducted immediately after the rainfall period allowed mapping 70 landslides in the study area, for a total landslide area of 2.7×105 m2. Topographic derivative maps obtained from the DEM2 we

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21

Bushlanova, Yu S. "APPLICATION OF DIGITAL EDUCATIONAL AND METHODOLOGICAL COMPLEX “SCHOOL SKILLS. PRO PROFESSIONS” IN THE WORK ON PROFESSIONAL IDENTIFICATION OF HIGH SCHOOLERS." Bulletin of Krasnoyarsk State Pedagogical University named after V.P. Astafyev 58, no. 4 (2021): 95–107. http://dx.doi.org/10.25146/1995-0861-2021-58-4-307.

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Statement of the problem. Often, due to the lack of knowledge about the world of professions, the divergent influence of the family, school and the media in matters of professional identification, the lack of high-quality professional information, the lack of practical experience in professional activities, high school graduates cannot accurately determine the stages of further education, that is, build an individual educational route of professional identification. To increase the efficiency of the process of professional identification of a high school graduate, assistance is required not on

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22

Nefzger, Ben. "DEMO-GRAPHICS." Teaching Sociology 17, no. 2 (1989): 276. http://dx.doi.org/10.2307/1317503.

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23

Horswill, Ian. "MKULTRA (Demo)." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 11, no. 1 (2021): 223–25. http://dx.doi.org/10.1609/aiide.v11i1.12776.

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MKULTRA is an experimental game that explores novel AI-based game mechanics. Similar in some ways to text-based interactive fiction, the player controls a character who interacts with other characters through dialog. Unlike traditional IF, MKULTRA characters have simple natural language understanding and generation capabilities, sufficient to answer questions and carry out simple tasks. The game explores a novel game mechanic, belief injection, in which players can manipulate the behavior of NPCs by injecting false beliefs into their knowledge bases. This allows for an unusual form of puzzle-b

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24

Mosher, Matthew, David Tinapple, Enrique Tomas, et al. "Demo hour." Interactions 23, no. 3 (2016): 8–11. http://dx.doi.org/10.1145/2904383.

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25

Lee, Chang Hee, Dan Lockton, David Verweij, et al. "Demo hour." Interactions 25, no. 6 (2018): 10–13. http://dx.doi.org/10.1145/3279993.

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26

García, Leslie, Andrés Padilla Dómene, Thiago Hersan, et al. "Demo hour." Interactions 25, no. 3 (2018): 8–11. http://dx.doi.org/10.1145/3199473.

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27

Ses�, Bernard. "� demi-mots." Sigila N�26, no. 2 (2010): 145. http://dx.doi.org/10.3917/sigila.026.0145.

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28

Shorey, Paden, Audrey Girouard, Sang Ho Yoon, et al. "Demo hour." Interactions 24, no. 6 (2017): 8–11. http://dx.doi.org/10.1145/3143318.

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29

Liang, Rong-Hao, Liwei Chan, Hung-Yu Tseng, et al. "Demo hour." Interactions 21, no. 5 (2014): 6–9. http://dx.doi.org/10.1145/2641409.

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30

Brock, Anke, Philippe Truillet, Bernard Oriola, et al. "Demo hour." Interactions 20, no. 1 (2013): 10–11. http://dx.doi.org/10.1145/2405716.2405719.

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31

Suzuki, Ippei, Shuntarou Yoshimitsu, Keisuke Kawahara, et al. "Demo hour." Interactions 24, no. 1 (2016): 8–11. http://dx.doi.org/10.1145/3012932.

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32

Chien, Hsin-Hao, Jasjeet Singh Seehra, Ansh Verma, et al. "Demo hour." Interactions 22, no. 3 (2015): 8–11. http://dx.doi.org/10.1145/2748930.

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33

Mann, Dougie, Steve Benford, Adrian Hazzard, et al. "Demo hour." Interactions 26, no. 4 (2019): 8–11. http://dx.doi.org/10.1145/3338074.

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34

Ronchi, Gloria, Claudio Benghi, Floris Erich, et al. "Demo hour." Interactions 23, no. 5 (2016): 8–11. http://dx.doi.org/10.1145/2973920.

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35

Oogjes, Doenja, Miguel Bruns Alonso, Ron Wakkary, et al. "Demo hour." Interactions 23, no. 6 (2016): 10–13. http://dx.doi.org/10.1145/3001768.

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36

Charland, Caleb, Matthias Dörfelt, Janet Echelman, et al. "Demo hour." Interactions 21, no. 4 (2014): 8–11. http://dx.doi.org/10.1145/2621929.

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37

Ludi, Damien, Colin Peillex, Daan Spanjers, et al. "Demo hour." Interactions 20, no. 4 (2013): 8–9. http://dx.doi.org/10.1145/2486227.2486230.

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38

Chuang, Yaliang, Ling-Yuah Chiu, Jya-Cheng Hu, et al. "Demo hour." Interactions 19, no. 4 (2012): 6–7. http://dx.doi.org/10.1145/2212877.2212880.

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39

Grant, Meg, Anja Hertenberger, Ricardo O'Nascimento, et al. "Demo hour." Interactions 19, no. 5 (2012): 6–7. http://dx.doi.org/10.1145/2334184.2334186.

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40

Takahashi, Yoichi, Yasushi Matoba, Hideki Koike, et al. "Demo hour." Interactions 20, no. 3 (2013): 8–9. http://dx.doi.org/10.1145/2451856.2451859.

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41

Kao, Cindy Hsin-Liu, Paul Johns, Asta Roseway, et al. "Demo hour." Interactions 23, no. 4 (2016): 10–13. http://dx.doi.org/10.1145/2931083.

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42

Westergård, Frederik Højlund, Jonathan Komang-Sønderbek, Malthe Emil Blichfeldt, et al. "Demo hour." Interactions 26, no. 2 (2019): 10–13. http://dx.doi.org/10.1145/3309719.

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43

Bech, Tine, Deqing Sun, Peiqi Su, et al. "Demo hour." Interactions 24, no. 2 (2017): 10–13. http://dx.doi.org/10.1145/3044536.

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44

Jung, Heekyoung, Altieri Youngsuk, Jeffrey Bardzell, et al. "Demo Hour." Interactions 18, no. 1 (2011): 6–7. http://dx.doi.org/10.1145/1897239.1897241.

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45

Levy, Amit A., David Terei, Deian Stefan, and David Maziéres. "Demo proposal." ACM SIGPLAN Notices 49, no. 12 (2015): 91. http://dx.doi.org/10.1145/2775050.2633373.

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46

Leigh, Sang-won, Asta Roseway, Ann Paradiso, et al. "Demo hour." Interactions 22, no. 4 (2015): 8–11. http://dx.doi.org/10.1145/2783522.

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47

Rheiner, Max, Thomas Tobler, Fabian Troxler, et al. "Demo hour." Interactions 22, no. 2 (2015): 6–9. http://dx.doi.org/10.1145/2730891.

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48

Tresset, Patrick, Stephanie Wilson, Timothy Neate, et al. "Demo hour." Interactions 27, no. 3 (2020): 8–11. http://dx.doi.org/10.1145/3390930.

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49

Broms, Loove, Marcelo Coelho, Pattie Maes, et al. "Demo hour." Interactions 18, no. 2 (2011): 8–9. http://dx.doi.org/10.1145/1925820.1925822.

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50

Cameron, Robert, Andrei Smolik, Kevin Lefeuvre, et al. "Demo hour." Interactions 24, no. 3 (2017): 8–11. http://dx.doi.org/10.1145/3068337.

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