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Artículos de revistas sobre el tema "Data-rich environments"

Autor: Grafiati
Publicado: 11 de marzo de 2023

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1

Bharadwaj, Neeraj, and Charles H. Noble. "Innovation in Data-Rich Environments." Journal of Product Innovation Management 32, no. 3 (2015): 476–78. http://dx.doi.org/10.1111/jpim.12266.

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2

Wedel, Michel, and P. K. Kannan. "Marketing Analytics for Data-Rich Environments." Journal of Marketing 80, no. 6 (2016): 97–121. http://dx.doi.org/10.1509/jm.15.0413.

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Bharadwaj, Neeraj, and Charles Noble. "Finding Innovation in Data Rich Environments." Journal of Product Innovation Management 34, no. 5 (2017): 560–64. http://dx.doi.org/10.1111/jpim.12407.

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4

Bell, Kathleen P., and Timothy J. Dalton. "Spatial Economic Analysis in Data-Rich Environments." Journal of Agricultural Economics 58, no. 3 (2007): 487–501. http://dx.doi.org/10.1111/j.1477-9552.2007.00123.x.

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5

Miller, Harvey J., and Jiawei Han. "Discovering geographic knowledge in data rich environments." ACM SIGKDD Explorations Newsletter 1, no. 2 (2000): 105–7. http://dx.doi.org/10.1145/846183.846208.

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6

Medeiros, Marcelo C., and Gabriel F. R. Vasconcelos. "Forecasting macroeconomic variables in data-rich environments." Economics Letters 138 (January 2016): 50–52. http://dx.doi.org/10.1016/j.econlet.2015.11.017.

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7

Cubadda, Gianluca, and Alain Hecq. "Testing for common autocorrelation in data-rich environments." Journal of Forecasting 30, no. 3 (2010): 325–35. http://dx.doi.org/10.1002/for.1186.

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8

Dong, John Qi. "Online Information Practices for User Innovation in Data-Rich Environments." Academy of Management Proceedings 2016, no. 1 (2016): 11729. http://dx.doi.org/10.5465/ambpp.2016.11729abstract.

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9

BERTOLI, GIUSEPPE, SANDRO CASTALDO, PAOLA CILLO, GABRIELE TROILO, and GIANMARIO VERONA. "Guest Editorial: Knowledge and trust in data-rich business environments." Sinergie Italian Journal of Management 40, no. 1 (2022): 11–14. http://dx.doi.org/10.7433/s117.2022.01.

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10

Lee, Ickjai, and Vladimir Estivill-Castro. "Fast Cluster Polygonization and its Applications in Data-Rich Environments." GeoInformatica 10, no. 4 (2006): 399–422. http://dx.doi.org/10.1007/s10707-006-0340-x.

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11

Amankwah-Amoah, Joseph, and Samuel Adomako. "Big data analytics and business failures in data-Rich environments: An organizing framework." Computers in Industry 105 (February 2019): 204–12. http://dx.doi.org/10.1016/j.compind.2018.12.015.

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12

Giudice da Silva Cezar, Bibiana, and Antônio Carlos Gastaud Maçada. "Data literacy and the cognitive challenges of a data-rich business environment: an analysis of perceived data overload, technostress and their relationship to individual performance." Aslib Journal of Information Management 73, no. 5 (2021): 618–38. http://dx.doi.org/10.1108/ajim-01-2021-0015.

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PurposeConsidering the cognitive challenges associated with a data-rich business environment, this research aims to investigate the relationship between data literacy (DL), perceived data overload (PDO), and technostress (TS), besides the effect of these constructs on professional's individual performance (IP).Design/methodology/approachThrough survey research, the authors collected data from 321 professionals who work in data-rich and highly technological business environments. To test the hypotheses proposed, the authors developed the partial least squares structural equation modeling (PLS-S
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13

Buder, Fabian, Anja Dieckmann, Holger Dietrich, and Julia Wieting. "Technologies Turning Future Brick-and-Mortar Stores into Data-Rich Environments." NIM Marketing Intelligence Review 11, no. 1 (2019): 48–53. http://dx.doi.org/10.2478/nimmir-2019-0008.

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AbstractVisitors of an online retailer’s website leave digital traces. Every click and each interaction on the website generate information about a customer while many traditional retailers tend to know very little about their customers. However, market incumbents need not watch this development in passive awe. Many technologies are already available that help brick-and-mortar stores gather more valuable information about their customers, allowing them to improve shopper experience, retain customers, and ultimately increase profits. If used in a smart, transparent and non-offending way, techno
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14

Fosso Wamba, Samuel, and Shahriar Akter. "Understanding supply chain analytics capabilities and agility for data-rich environments." International Journal of Operations & Production Management 39, no. 6/7/8 (2019): 887–912. http://dx.doi.org/10.1108/ijopm-01-2019-0025.

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Purpose Big data-driven supply chain analytics capability (SCAC) is now emerging as the next frontier of supply chain transformation. Yet, very few studies have been directed to identify its dimensions, subdimensions and model their holistic impact on supply chain agility (SCAG) and firm performance (FPER). Therefore, to fill this gap, the purpose of this paper is to develop and validate a dynamic SCAC model and assess both its direct and indirect impact on FPER using analytics-driven SCAG as a mediator. Design/methodology/approach The study draws on the emerging literature on big data, the re
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15

Hicks, Robert L., Daniel S. Holland, Peter T. Kuriyama, and Kurt E. Schnier. "Choice sets for spatial discrete choice models in data rich environments." Resource and Energy Economics 60 (May 2020): 101148. http://dx.doi.org/10.1016/j.reseneeco.2019.101148.

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16

Nim, Tri Hieu, Le Luo, Marie-Véronique Clément, Jacob K. White, and Lisa Tucker-Kellogg. "Systematic parameter estimation in data-rich environments for cell signalling dynamics." Bioinformatics 29, no. 8 (2013): 1044–51. http://dx.doi.org/10.1093/bioinformatics/btt083.

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17

Gao, Yizhu, Xiaoming Zhai, Okan Bulut, Ying Cui, and Xiaojian Sun. "Examining Humans’ Problem-Solving Styles in Technology-Rich Environments Using Log File Data." Journal of Intelligence 10, no. 3 (2022): 38. http://dx.doi.org/10.3390/jintelligence10030038.

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This study investigated how one’s problem-solving style impacts his/her problem-solving performance in technology-rich environments. Drawing upon experiential learning theory, we extracted two behavioral indicators (i.e., planning duration for problem solving and human–computer interaction frequency) to model problem-solving styles in technology-rich environments. We employed an existing data set in which 7516 participants responded to 14 technology-based tasks of the Programme for the International Assessment of Adult Competencies (PIAAC) 2012. Clustering analyses revealed three problem-solvi
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18

Zuecco, Federico, Matteo Cicciotti, Pierantonio Facco, Fabrizio Bezzo, and Massimiliano Barolo. "Backstepping Methodology to Troubleshoot Plant-Wide Batch Processes in Data-Rich Industrial Environments." Processes 9, no. 6 (2021): 1074. http://dx.doi.org/10.3390/pr9061074.

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Troubleshooting batch processes at a plant-wide level requires first finding the unit causing the fault, and then understanding why the fault occurs in that unit. Whereas in the literature case studies discussing the latter issue abound, little attention has been given so far to the former, which is complex for several reasons: the processing units are often operated in a non-sequential way, with unusual series-parallel arrangements; holding vessels may be required to compensate for lack of production capacity, and reacting phenomena can occur in these vessels; and the evidence of batch abnorm
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19

Heinzel, Johannes, and Markus Huber. "Detecting Tree Stems from Volumetric TLS Data in Forest Environments with Rich Understory." Remote Sensing 9, no. 1 (2016): 9. http://dx.doi.org/10.3390/rs9010009.

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20

Verhoef, Peter C., Rajkumar Venkatesan, Leigh McAlister, Edward C. Malthouse, Manfred Krafft, and Shankar Ganesan. "CRM in Data-Rich Multichannel Retailing Environments: A Review and Future Research Directions." Journal of Interactive Marketing 24, no. 2 (2010): 121–37. http://dx.doi.org/10.1016/j.intmar.2010.02.009.

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21

Naik, Prasad A., Michael R. Hagerty, and Chih-Ling Tsai. "A New Dimension Reduction Approach for Data-Rich Marketing Environments: Sliced Inverse Regression." Journal of Marketing Research 37, no. 1 (2000): 88–101. http://dx.doi.org/10.1509/jmkr.37.1.88.18715.

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In data-rich marketing environments (e.g., direct marketing or new product design), managers face an ever-growing need to reduce the number of variables effectively. To accomplish this goal, the authors introduce a new method called sliced inverse regression (SIR), which finds factors by taking into account the information contained in both the dependent and independent variables. Sliced inverse regression objectively identifies appropriate factors through simple statistical tests for determining the number of factors to retain and for assessing the significance of factor-loading coefficients.
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22

Sridhar, Shrihari, and Eric Fang. "New vistas for marketing strategy: digital, data-rich, and developing market (D3) environments." Journal of the Academy of Marketing Science 47, no. 6 (2019): 977–85. http://dx.doi.org/10.1007/s11747-019-00698-y.

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23

Purvis, O. W., and C. Halls. "A Review of Lichens in Metal-Enriched Environments." Lichenologist 28, no. 6 (1996): 571–601. http://dx.doi.org/10.1006/lich.1996.0052.

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AbstractThe importance of mineralogy in determining lichen assemblages occurring on metalliferous rocks and derived soils is discussed with reference to environments enriched in metals from mine and smelter wastes and other sites involving human activities. A study of lichens growing on Cu and Fe sulphide-rich rocks in Scandinavia is presented. This data suggests that the composition of the lichen communities is governed by mineralogy, which influences the mobility and availability of Cu2+ and Fe2+ in the environment, rather than the total concentrations of either metals within the substratum.
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24

Demers, Melanie L., Laura C. Parker, and Ian D. Roberts. "Smaller stellar disc scale lengths in rich environments." Monthly Notices of the Royal Astronomical Society 489, no. 2 (2019): 2216–26. http://dx.doi.org/10.1093/mnras/stz2305.

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Abstract We investigate the dependence of stellar disc scale lengths on environment for a sample of Sloan Digital Sky Survey Data Release 7 galaxies with published photometric bulge-disc decompositions. We compare disc scale lengths at fixed bulge mass for galaxies in an isolated field environment to galaxies in X-ray rich and X-ray poor groups. At low bulge mass, stellar disc scale lengths in X-ray rich groups are smaller compared to discs in both X-ray poor groups and in isolated field environments. This decrease in disc scale length is largely independent of halo mass, though shows some dep
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25

Roos, Leslie L., Sumit Gupta, Ruth-Ann Soodeen, and Laurel Jebamani. "Data Quality in an Information-Rich Environment: Canada as an Example." Canadian Journal on Aging / La Revue canadienne du vieillissement 24, S1 (2005): 153–70. http://dx.doi.org/10.1353/cja.2005.0055.

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ABSTRACTThis review evaluates the quality of available administrative data in the Canadian provinces, emphasizing the information needed to create integrated systems. We explicitly compare approaches to quality measurement, indicating where record linkage can and cannot substitute for more expensive record re-abstraction. Forty-nine original studies evaluating Canadian administrative data (registries, hospital abstracts, physician claims, and prescription drugs) are summarized in a structured manner. Registries, hospital abstracts, and physician files appear to be generally of satisfactory qua
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26

Lajoie, Susanne, and Eric Poitras. "Crossing Disciplinary Boundaries to Improve Technology-Rich Learning Environments." Teachers College Record: The Voice of Scholarship in Education 119, no. 3 (2017): 1–30. http://dx.doi.org/10.1177/016146811711900301.

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Background The capacity of instructional technologies to personalize instruction has progressively improved over the last decade, in conjunction with changes in learning theories that dictate what, when, and how to support learners. Focus of Study This paper reviews several technology-rich learning environments that are investigated by members of the Learning Environments Across Disciplines partnership, including Newton's Playground, the War of 1812 iHistory tours, Crystal Island, BioWorld, and MetaTutor. The adaptive capabilities of these systems are discussed in terms of the metaphors of usi
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27

Nim, Tri Hieu, Jacob K. White, and Lisa Tucker-Kellogg. "SPEDRE: a web server for estimating rate parameters for cell signaling dynamics in data-rich environments." Nucleic Acids Research 41, W1 (2013): W187—W191. http://dx.doi.org/10.1093/nar/gkt459.

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28

Duong, Trang Minh, Roshanka Ranasinghe, Marcus Thatcher, et al. "Assessing climate change impacts on the stability of small tidal inlets: Part 2 - Data rich environments." Marine Geology 395 (January 2018): 65–81. http://dx.doi.org/10.1016/j.margeo.2017.09.007.

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29

Troilo, Gabriele, Luigi M. De Luca, and Paolo Guenzi. "Linking Data-Rich Environments with Service Innovation in Incumbent Firms: A Conceptual Framework and Research Propositions." Journal of Product Innovation Management 34, no. 5 (2017): 617–39. http://dx.doi.org/10.1111/jpim.12395.

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30

Rees, Andrew, Chris Derksen, Michael English, Anne Walker, and Claude Duguay. "Uncertainty in snow mass retrievals from satellite passive microwave data in lake-rich high-latitude environments." Hydrological Processes 20, no. 4 (2006): 1019–22. http://dx.doi.org/10.1002/hyp.6076.

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31

Steptoe, William, and Anthony Steed. "Multimodal Data Capture and Analysis of Interaction in Immersive Collaborative Virtual Environments." Presence: Teleoperators and Virtual Environments 21, no. 4 (2012): 388–405. http://dx.doi.org/10.1162/pres_a_00123.

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Users of immersive virtual reality (VR) are often observed to act realistically on social, behavioral, physiological, and subjective levels. However, experimental studies in the field typically collect and analyze metrics independently, which fails to consider the synchronous and multimodal nature of the original human activity. This paper concerns multimodal data capture and analysis in immersive collaborative virtual environments (ICVEs) in order to enable a holistic and rich analysis based on techniques from interaction analysis. A reference architecture for collecting multimodal data speci
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32

Glueck, Michael, and Azam Khan. "Considering multiscale scenes to elucidate problems encumbering three-dimensional intellection and navigation." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 25, no. 4 (2011): 393–407. http://dx.doi.org/10.1017/s0890060411000230.

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AbstractVirtual three-dimensional (3-D) environments have become pervasive tools in a number of professional and recreational tasks. However, interacting with these environments can be challenging for users, especially as these environments increase in complexity and scale. In this paper, we argue that the design of 3-D interaction techniques is an ill-defined problem. This claim is elucidated through the context of data-rich and geometrically complex multiscale virtual 3-D environments, where unexpected factors can encumber intellection and navigation. We develop an abstract model to guide ou
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Mulligan, Mark. "WaterWorld: a self-parameterising, physically based model for application in data-poor but problem-rich environments globally." Hydrology Research 44, no. 5 (2012): 748–69. http://dx.doi.org/10.2166/nh.2012.217.

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This paper describes a spatially explicit, physically based global model for water balance. Its key innovations include the fact that it comes with all data required for application, is very high spatial resolution (1 km or 1-hectare resolution) and yet global in extent and is particularly well suited to heterogeneous environments with little or no available data. The model, WaterWorld, is capable of producing a hydrological baseline representing the mean water balance for 1950–2000 and allows users to apply ensemble scenarios for climate change or examine the impact of policy options for land
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34

Nikolic, Mark I., and Nadine B. Sarter. "Peripheral Visual Feedback: A Powerful Means of Supporting Effective Attention Allocation in Event-Driven, Data-Rich Environments." Human Factors: The Journal of the Human Factors and Ergonomics Society 43, no. 1 (2001): 30–38. http://dx.doi.org/10.1518/001872001775992525.

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35

Hämäläinen, Raija, Sebastiano Cincinnato, Antero Malin, and Bram De Wever. "VET workers’ problem-solving skills in technology-rich environments: European approach." International Journal for Research in Vocational Education and Training 1, no. 1 (2014): 57–80. http://dx.doi.org/10.13152/ijrvet.1.1.4.

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The European workplace is challenging VET adults’ problem-solving skills in technology-rich environments (TREs). So far, no international large-scale assessment data has been available for VET. The PIAAC data comprise the most comprehensive source of information on adults’ skills to date. The present study (N=50 369) focuses on gaining insight into the problem-solving skills in TREs of adults with a VET background. When examining the similarities and differences in VET adults’ problem-solving skills in TREs across 11 European countries, two main trends can be observed. First, our results show
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36

Boccali, Filippo, Marcello M. Mariani, Franco Visani, and Alexandra Mora-Cruz. "Innovative value-based price assessment in data-rich environments: Leveraging online review analytics through Data Envelopment Analysis to empower managers and entrepreneurs." Technological Forecasting and Social Change 182 (September 2022): 121807. http://dx.doi.org/10.1016/j.techfore.2022.121807.

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37

Veturi, Yogasudha, Kristen Kump, Ellie Walsh, et al. "Multivariate Mixed Linear Model Analysis of Longitudinal Data: An Information-Rich Statistical Technique for Analyzing Plant Disease Resistance." Phytopathology® 102, no. 11 (2012): 1016–25. http://dx.doi.org/10.1094/phyto-10-11-0268.

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The mixed linear model (MLM) is an advanced statistical technique applicable to many fields of science. The multivariate MLM can be used to model longitudinal data, such as repeated ratings of disease resistance taken across time. In this study, using an example data set from a multi-environment trial of northern leaf blight disease on 290 maize lines with diverse levels of resistance, multivariate MLM analysis was performed and its utility was examined. In the population and environments tested, genotypic effects were highly correlated across disease ratings and followed an autoregressive pat
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38

Hughes, Stephen, and Michael Lewis. "Attentive Interaction Techniques for Searching Virtual Environments." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 46, no. 26 (2002): 2159–63. http://dx.doi.org/10.1177/154193120204602612.

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The ability to manipulate the viewpoint is critical to many tasks performed in virtual environments (VEs). However, viewers in an information-rich VE are particularly susceptible to superfluous data and are easily distracted. Attentive Interaction techniques can address this issue by allowing the viewer to explore freely while allowing the system to suggest optimal locations and orientations. In this study, we examine the effectiveness of two interaction techniques. The first technique, called the Attentive Camera, is characterized by the system automatically aligning the viewpoint with the id
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39

Graycar, Adam, and Adam B. Masters. "Preventing malfeasance in low corruption environments: twenty public administration responses." Journal of Financial Crime 25, no. 1 (2018): 170–86. http://dx.doi.org/10.1108/jfc-04-2017-0026.

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Purpose Corruption undermines good governance. Strategies for preventing malfeasance in low-corruption environments require a different approach to that applied in high-corruption environments. This paper aims to ask if criminological theories and practice contribute to the study and prevention of corruption in public organizations? Do crime prevention techniques help us in preventing corruption? Design/methodology/approach Empirical data demonstrate that the overwhelming majority of public officials in rich countries demonstrate high levels of integrity; yet, significant sums are invested in
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40

Maseleno, Andino, Miftachul Huda, Kamarul Shukri Mat Teh, et al. "Understanding Modern Learning Environment (MLE) in Big Data Era." International Journal of Emerging Technologies in Learning (iJET) 13, no. 05 (2018): 71. http://dx.doi.org/10.3991/ijet.v13i05.8042.

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as an attempt to understand modern learning environment (MLE) to support learning in big data era, its exploration where the students are engaged to access online resources using their mobile devices, laptop and other digital devices needs to understand MLE as the term integrated between digital technology tools and learning skills. The convenient facilitation has a whole section designed to support learning styles which can exactly create the learning environment to be modern. This paper aims to explore innovative design for MLE with big data approach to see the chance in applying this model
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41

Yang, Guanqun, Wenhui Huang, Jianhua Zhong, and Ningliang Sun. "Occurrence, Classification and Formation Mechanisms of the Organic-Rich Clasts in the Upper Paleozoic Coal-Bearing Tight Sandstone, Northeastern Margin of the Ordos Basin, China." Energies 13, no. 11 (2020): 2694. http://dx.doi.org/10.3390/en13112694.

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The detailed characteristics and formation mechanisms of organic-rich clasts (ORCs) in the Upper Paleozoic tight sandstone in the northeastern margin of the Ordos Basin were analyzed through 818-m-long drilling cores and logging data from 28 wells. In general, compared with soft-sediment clasts documented in other sedimentary environments, organic-rich clasts in coal-bearing tight sandstone have not been adequately investigated in the literature. ORCs are widely developed in various sedimentary environments of coal-bearing sandstone, including fluvial channels, crevasse splays, tidal channels,
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42

Ioannou, Andri, Christina Vasiliou, and Panayiotis Zaphiris. "Problem-Based Learning in Multimodal Learning Environments." Journal of Educational Computing Research 54, no. 7 (2016): 1022–40. http://dx.doi.org/10.1177/0735633116636755.

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In this study, we enhanced a problem-based learning (PBL) environment with affordable, everyday technologies that can be found in most university classrooms (e.g., projectors, tablets, students’ own smartphones, traditional paper–pencil, and Facebook). The study was conducted over a 3-year period, with 60 postgraduate learners in a human–computer interaction course, following a PBL approach to teaching and learning. First, this article contributes a detailed description of how PBL can be enacted in a multimodal, technology-rich classroom. Second, the study presents evaluation data on learners’
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43

Kebede, Adane, Magnus Jirström, Alemayehu Worku, et al. "Residential Food Environment, Household Wealth and Maternal Education Association to Preschoolers’ Consumption of Plant-Based Vitamin A-Rich Foods: The EAT Addis Survey in Addis Ababa." Nutrients 14, no. 2 (2022): 296. http://dx.doi.org/10.3390/nu14020296.

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Vitamin A deficiency is common among preschoolers in low-income settings and a serious public health concern due to its association to increased morbidity and mortality. The limited consumption of vitamin A-rich food is contributing to the problem. Many factors may influence children’s diet, including residential food environment, household wealth, and maternal education. However, very few studies in low-income settings have examined the relationship of these factors to children’s diet together. This study aimed to assess the importance of residential food availability of three plant-based gro
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44

Bishop, Janice L., M. Darby Dyar, Melissa D. Lane, and Jillian F. Banfield. "Spectral identification of hydrated sulfates on Mars and comparison with acidic environments on Earth." International Journal of Astrobiology 3, no. 4 (2004): 275–85. http://dx.doi.org/10.1017/s1473550405002259.

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We interpret recent spectral data of Mars collected by the Mars Exploration Rovers to contain substantial evidence of sulfate minerals and aqueous processes. We present visible/near-infrared (VNIR), mid-IR and Mössbauer spectra of several iron sulfate minerals and two acid mine drainage (AMD) samples collected from the Iron Mountain site and compare these combined data with the recent spectra of Mars. We suggest that the sulfates on Mars are produced via aqueous oxidation of sulfides known to be present on Mars from Martian meteorites. The sulfate-rich rock outcrops observed in Meridiani Planu
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45

Gilman, Ekaterina, Satu Tamminen, Rumana Yasmin, et al. "Internet of Things for Smart Spaces: A University Campus Case Study." Sensors 20, no. 13 (2020): 3716. http://dx.doi.org/10.3390/s20133716.

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Advances in technology and data analysis provide rich opportunities for developing intelligent environments assisting their inhabitants, so-called smart environments or smart spaces. Enhanced with technology, sensors, user interfaces, and various applications, such smart spaces are capable of recognizing users and situations they are in, react accordingly, e.g., by providing certain services or changes to the environment itself. Therefore, smart space solutions are gradually coming to different application domains, each with corresponding specific characteristics. In this article, we discuss o
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46

Bowman, Doug A., Larry F. Hodges, Don Allison, and Jean Wineman. "The Educational Value of an Information-Rich Virtual Environment." Presence: Teleoperators and Virtual Environments 8, no. 3 (1999): 317–31. http://dx.doi.org/10.1162/105474699566251.

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Information-rich virtual environments consist not only of three-dimensional graphics and other spatial data but also information of an abstract or symbolic nature that is related to the space. An environment of this type can stimulate learning and comprehension, because it provides a tight coupling between symbolic and experiential information. In our virtual zoo exhibit, students can explore an accurate model of the gorilla habitat at Zoo Atlanta and access information related to the design of the exhibit. This paper discusses the design of the application and the interaction techniques used
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47

Kang, Zhizhong, Juntao Yang, Zhou Yang, and Sai Cheng. "A Review of Techniques for 3D Reconstruction of Indoor Environments." ISPRS International Journal of Geo-Information 9, no. 5 (2020): 330. http://dx.doi.org/10.3390/ijgi9050330.

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Indoor environment model reconstruction has emerged as a significant and challenging task in terms of the provision of a semantically rich and geometrically accurate indoor model. Recently, there has been an increasing amount of research related to indoor environment reconstruction. Therefore, this paper reviews the state-of-the-art techniques for the three-dimensional (3D) reconstruction of indoor environments. First, some of the available benchmark datasets for 3D reconstruction of indoor environments are described and discussed. Then, data collection of 3D indoor spaces is briefly summarize
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Femi-Jemilohun, Oladunni Juliet, T. Quinlan, Sophie Barc, and Stuart D. Walker. "An Experimental Investigation Into GbE Wireless Data Communication at 24 GHz in Non-Line-of-Sight and Multipath Rich Environments." IEEE Antennas and Wireless Propagation Letters 13 (2014): 1219–22. http://dx.doi.org/10.1109/lawp.2014.2332236.

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49

Kim, Doyoung, Inwoong Lee, Dohyung Kim, and Sanghoon Lee. "Action Recognition Using Close-Up of Maximum Activation and ETRI-Activity3D LivingLab Dataset." Sensors 21, no. 20 (2021): 6774. http://dx.doi.org/10.3390/s21206774.

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The development of action recognition models has shown great performance on various video datasets. Nevertheless, because there is no rich data on target actions in existing datasets, it is insufficient to perform action recognition applications required by industries. To satisfy this requirement, datasets composed of target actions with high availability have been created, but it is difficult to capture various characteristics in actual environments because video data are generated in a specific environment. In this paper, we introduce a new ETRI-Activity3D-LivingLab dataset, which provides a
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50

Shin, Youngjoo, Junbeom Hur, Dongyoung Koo, and Joobeom Yun. "Toward Serverless and Efficient Encrypted Deduplication in Mobile Cloud Computing Environments." Security and Communication Networks 2020 (August 28, 2020): 1–15. http://dx.doi.org/10.1155/2020/3046595.

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With the proliferation of new mobile devices, mobile cloud computing technology has emerged to provide rich computing and storage functions for mobile users. The explosive growth of mobile data has led to an increased demand for solutions that conserve storage resources. Data deduplication is a promising technique that eliminates data redundancy for storage. For mobile cloud storage services, enabling the deduplication of encrypted data is of vital importance to reduce costs and preserve data confidentiality. However, recently proposed solutions for encrypted deduplication lack the desired lev
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