Journal articles: 'Data-rich environments'

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

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Wedel, Michel, and P. K. Kannan. "Marketing Analytics for Data-Rich Environments." Journal of Marketing 80, no. 6 (November 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 (August 2, 2017): 560–64. http://dx.doi.org/10.1111/jpim.12407.

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

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

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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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Cubadda, Gianluca, and Alain Hecq. "Testing for common autocorrelation in data-rich environments." Journal of Forecasting 30, no. 3 (June 9, 2010): 325–35. http://dx.doi.org/10.1002/for.1186.

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

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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 (April 30, 2022): 11–14. http://dx.doi.org/10.7433/s117.2022.01.

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

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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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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 (July 22, 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-SEM) procedures.FindingsThe results showed that DL is positively associated with IP and negatively with PDO. PDO is positively associated with TS and negatively with IP. The authors found no significant negative association between TS and IP.Research limitations/implicationsWith this research, the authors seek to contribute to the gap in the literature concerning two cognitive challenges associated with data-rich business environments: PDO and TS, analyzing from the point of view of the individual, and highlighting the importance of DL in this context.Practical implicationsThe results can assist managers in effectively being concerned with the DL level of their workforce. This is important considering not only the professionals' IP but also the cognitive challenges such as PDO and TS.Originality/valueThe innovation of this study lies in the empirical analysis of DL in the business context and its relationship with two cognitive challenges inherent in data-rich environments: PDO, and TS. Besides, the authors highlight the importance of understanding such phenomena in terms of IP.

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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 (May 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, technologies like in-store cameras, smart sensors, virtual reality or augmented reality can make a physical store almost as data-rich as a website. Retailers can be enabled to track the customer journey, observe product interactions in front of shelfs, recognize customers and identify segments, detect emotional states automatically and understand their customers’ information needs and decision making processes. Virtual reality offers retailers environments for controlled experimentation so that they can employ A/B tests to optimize customer experience and turnover and do not fall behind online retailers. New technologies need to be introduced carefully and consider people’s needs for transparency and control.

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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 (December 2, 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 resource-based view and the dynamic capability theory to develop a multi-dimensional, hierarchical SCAC model. Then, the model is tested using data collected from supply chain analytics professionals, managers and mid-level manager in the USA. The study uses the partial least squares-based structural equation modeling to prove the research model. Findings The findings of the study identify supply chain management (i.e. planning, investment, coordination and control), supply chain technology (i.e. connectivity, compatibility and modularity) and supply chain talent (i.e. technology management knowledge, technical knowledge, relational knowledge and business knowledge) as the significant antecedents of a dynamic SCAC model. The study also identifies analytics-driven SCAG as the significant mediator between overall SCAC and FPER. Based on these key findings, the paper discusses their implications for theory, methods and practice. Finally, limitations and future research directions are presented. Originality/value The study fills an important gap in supply chain management research by estimating the significance of various dimensions and subdimensions of a dynamic SCAC model and their overall effects on SCAG and FPER.

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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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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 (February 19, 2013): 1044–51. http://dx.doi.org/10.1093/bioinformatics/btt083.

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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 (June 30, 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-solving styles: Acting indicates a preference for active explorations; Reflecting represents a tendency to observe; and Shirking shows an inclination toward scarce tryouts and few observations. Explanatory item response modeling analyses disclosed that individuals with the Acting style outperformed those with the Reflecting or the Shirking style, and this superiority persisted across tasks with different difficulties.

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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 (June 20, 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 abnormality may be available only from the end unit and at the end of the production cycle. We propose a structured methodology to assist the troubleshooting of plant-wide batch processes in data-rich environments where multivariate statistical techniques can be exploited. Namely, we first analyze the last unit wherein the fault manifests itself, and we then step back across the units through the process flow diagram (according to the manufacturing recipe) until the fault cannot be detected by the available field sensors any more. That enables us to isolate the unit wherefrom the fault originates. Interrogation of multivariate statistical models for that unit coupled to engineering judgement allow identifying the most likely root cause of the fault. We apply the proposed methodology to troubleshoot a complex industrial batch process that manufactures a specialty chemical, where productivity was originally limited by unexplained variability of the final product quality. Correction of the fault allowed for a significant increase in productivity.

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Heinzel, Johannes, and Markus Huber. "Detecting Tree Stems from Volumetric TLS Data in Forest Environments with Rich Understory." Remote Sensing 9, no. 1 (December 28, 2016): 9. http://dx.doi.org/10.3390/rs9010009.

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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 (May 2010): 121–37. http://dx.doi.org/10.1016/j.intmar.2010.02.009.

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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 (February 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. The authors make conceptual connections between SIR and several existing approaches, including principal components regression (PCR) and partial least squares regression (PLSR). Using Monte Carlo experiments, the authors demonstrate that SIR performs better than these approaches. Two empirical examples—designing a new executive business program and direct marketing by a catalog company—are presented to illustrate the application of SIR and to show that it outperforms both PLSR and PCR in these cases. In addition, the authors discuss how direct marketers can apply SIR to analyze large databases and to thus target customers effectively. In conclusion, SIR is a promising methodology in data-intensive marketing environments.

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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 (October 29, 2019): 977–85. http://dx.doi.org/10.1007/s11747-019-00698-y.

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Purvis, O. W., and C. Halls. "A Review of Lichens in Metal-Enriched Environments." Lichenologist 28, no. 6 (November 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. A new lichen community, the Lecideion inopis Purvis, is described characterized by the faithful species Lecidea inops, Psilolechia leprosa and several Cu-rich ecotypes. This community occurs alkaline environments where Cu is fixed predominantly as a secondary hydroxide or carbonate. Conversely, low pH, Fe sulphide-rich environments, where Cu may also be present, are characterized by the Acarosporion sinopicae, which includes several species with a rusty colouration. Contrasting assemblages rich in terricolous ephemeral species, especially Vezdaea spp. occurring in Pb/Zn-rich environments, and the comparatively species-poor assemblages on Cr and Ni-rich ultrabasic rocks, are also reviewed. Although mine spoil heaps and other mineralized environments are perceived in human terms as toxic, they may support a diversity of lichens, including rare taxa restricted to these sites. The systematic description of these lichen communities in relation to rock mineralogy and chemical processes are necessary if physiological tolerance and speciation are to be understood.

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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 (August 21, 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 dependence on group-centric distance. We also find that stellar disc scale lengths are smaller in X-ray rich environments for a subset of star-forming galaxies and for galaxies of different morphological types. We note that disc scale lengths of low mass galaxies are known to have large systematic uncertainties, however we focus on differences between samples with the same measurement biases. Our results show that stellar disc scale lengths depend on X-ray brightness, a tracer of IGM density, suggesting a role for hydrodynamic processes such as ram-pressure stripping and/or starvation.

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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 quality, though much work remains to be done. Data quality did not vary systematically among provinces. Primary data collection to check place of residence and longitudinal follow-up in provincial registries is needed. Promising initial checks of pharmaceutical data should be expanded. Because record linkage studies were “conservative” in reporting reliability, the reduction of time-consuming record re-abstraction appears feasible in many cases. Finally, expanding the scope of administrative data to study health, as well as health care, seems possible for some chronic conditions. The research potential of the information-rich environments being created highlights the importance of data quality.

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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 (March 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 using computers as cognitive, metacognitive, and affective tools. Research Design Researchers rely on convergent methodologies to collect data via multiple modalities to gain a better understanding of what learners know, feel, and understand. The design guidelines of these learning environments are used to situate this understanding as a means to generalize best practices in personalizing instruction. Conclusions The findings of these investigations have significant implications for the metaphor of using technology as a tool to augment our thinking. The challenge is now to broaden learning theories while taking into consideration the social and emotional perspective of learning, as well as to leverage recent advances in learning analytics and data-mining techniques to iteratively improve the design of technology-rich learning environments.

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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 (June 5, 2013): W187—W191. http://dx.doi.org/10.1093/nar/gkt459.

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Duong, Trang Minh, Roshanka Ranasinghe, Marcus Thatcher, Sarith Mahanama, Zheng Bing Wang, Pushpa Kumara Dissanayake, Mark Hemer, 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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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 (June 30, 2017): 617–39. http://dx.doi.org/10.1111/jpim.12395.

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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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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 (November 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 specifically for immersive VR is presented. It collates multiple components of a user's nonverbal and verbal behavior in single log file, thereby preserving the temporal relationships between cues. Two case studies describing sequences of immersive avatar-mediated communication (AMC) demonstrate the ability of multimodal data to preserve a rich description of the original mediated social interaction. Analyses of the sequences using techniques from interaction analysis emphasize the causal interrelationships between the captured components of human behavior, leading to a deeper understanding of how and why the communication may have unfolded. In presenting our logging architecture, we hope that we will initiate a discussion of a logging standard that can be built by the community so that practitioners can share data and build better tools to analyze the utility of VR.

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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 (October 12, 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 our discussion, which illustrates the cyclic relationship of understanding and navigating; a relationship that supports the iterative refinement of a consistent mental representation of the virtual environment. Finally, we highlight strategies to support the design of interactions in multiscale virtual environments, and propose general categories of research focus.

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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 (November 22, 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 cover change or land management interventions. WaterWorld is focused on policy support, especially in conservation hydrology and development applications and is delivered through a simple web interface, requiring little local capacity for use. The paper discusses the paucity of hydrological data and the urgency of hydrological problems in much of the less-developed world, which reinforce the need for tools like WaterWorld. We discuss the types of hydrological problems that models might contribute to managing and the requirements of models applied to such problems. By way of example, applications of WaterWorld to understanding large-scale patterns of water resources and uncertainty around adaptation to climate change are described.

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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 (March 2001): 30–38. http://dx.doi.org/10.1518/001872001775992525.

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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 (August 31, 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 that only a minority of VET adults perform at a high level. Second, there seems to be substantial variation between countries with respect to the proportion of VET adults that can be identified as “at-risk” or “weak” performers. For the future, our findings indicate the variations that can be used as a starting point to identify beneficial VET approaches.

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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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Veturi, Yogasudha, Kristen Kump, Ellie Walsh, Oliver Ott, Jesse Poland, Judith M. Kolkman, Peter J. Balint-Kurti, James B. Holland, and Randall J. Wisser. "Multivariate Mixed Linear Model Analysis of Longitudinal Data: An Information-Rich Statistical Technique for Analyzing Plant Disease Resistance." Phytopathology® 102, no. 11 (November 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 pattern of correlation decay. Because longitudinal data are often converted to the univariate measure of area under the disease progress curve (AUDPC), comparisons between univariate MLM analysis of AUDPC and multivariate MLM analysis of longitudinal data were made. Univariate analysis had the advantage of simplicity and reduced computational demand, whereas multivariate analysis enabled a comprehensive perspective on disease development, providing the opportunity for unique insights into disease resistance. To aid in the application of multivariate MLM analysis of longitudinal data on disease resistance, annotated program syntax for model fitting is provided for the software ASReml.

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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 (September 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 ideal direction of gaze as the viewer explores the environment. In the second technique known as the Attentive Flashlight, the ideal gaze direction is used to aim a spotlight, illuminating objects of interest. Study participants used these techniques to complete four search tasks in a virtual art gallery.

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Graycar, Adam, and Adam B. Masters. "Preventing malfeasance in low corruption environments: twenty public administration responses." Journal of Financial Crime 25, no. 1 (January 2, 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 anti-corruption agencies and prevention strategies. This paper reports on recent work with an anti-corruption agency, which forced us to re-think how to deliver an anti-corruption agenda in a low-corruption environment. The authors build on their research of public sector corruption in rich countries to develop a set of 20 situational corruption prevention measures for public administrators. Findings The result, with lessons from crime prevention, is a prevention tool to support continued good governance in low-corruption environments. Figure 1 is a template that readers can apply in their own environments. Figure 2 is the authors’ attempt to populate this template based on the research reported here. Originality/value The matrix of situational corruption prevention techniques provides two original approaches. First, it recasts the language of crime prevention into a non-confrontational approach to avoid alienating honest public officials. Second, the matrix incorporates common public sector functions to guide the development of context specific corruption prevention techniques.

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Maseleno, Andino, Miftachul Huda, Kamarul Shukri Mat Teh, Abdul Ghafar Don, Bushrah Basiron, Kamarul Azmi Jasmi, Mohd Ismail Mustari, Badlihisham Mohd Nasir, and Roslee Ahmad. "Understanding Modern Learning Environment (MLE) in Big Data Era." International Journal of Emerging Technologies in Learning (iJET) 13, no. 05 (April 30, 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 for the construction to the design of big data based learning environments to facilitate online learning towards information and knowledge in higher education setting. The finding reveals to propose model reference to be implemented to improve student learning outcomes in a technology-rich teaching and learning environment in higher education. As a result, this paper is expected to contribute in the support with an initiative in the learning performance.

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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 (May 27, 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, sand flats, and subaqueous debris flow deposits. In addition to being controlled by the water flow energy and transportation processes, the fragmentation degree and morphology of ORCs are also related to their content of higher plants organic matter. The change in water flow energy during transportation makes the ORCs show obvious mechanical depositional differentiation. Four main types of ORC can be recognized in the deposits: diamictic organic-rich clasts, floating organic-rich clasts, loaded lamellar organic-rich clasts, and thin interlayer organic-rich clasts. The relationship between energy variation and ORCs deposition continuity is rarely studied so far. Based on the different handling processes under the control of water flow energy changes, we propose two ORCs formation mechanisms: the long-term altering of continuous water flow and the short-term water flow acting triggered by sudden events.

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Ioannou, Andri, Christina Vasiliou, and Panayiotis Zaphiris. "Problem-Based Learning in Multimodal Learning Environments." Journal of Educational Computing Research 54, no. 7 (July 26, 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’ technology adoption experience while engaging in PBL. Overall, the participants positively endorsed the learning environment, rating their experience highly on scales of communication and interaction, reflection, perceived learning, and satisfaction. In addition, quantitative content analysis of Facebook use documented how the physical and digital tools in the environment, coupled with the capability of Facebook as a recordkeeping and communication tool, were integral part of the PBL process.

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Kebede, Adane, Magnus Jirström, Alemayehu Worku, Kassahun Alemu, Hanna Y. Berhane, Christopher Turner, Eva-Charlotte Ekström, and Yemane Berhane. "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 (January 11, 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 groups of vitamin A-rich foods, household wealth, and maternal education for preschoolers’ consumption of plant-based vitamin A-rich foods in Addis Ababa. A multistage sampling procedure was used to enroll 5467 households with under-five children and 233 residential food environments with 2568 vendors. Data were analyzed using a multilevel binary logistic regression model. Overall, 36% (95% CI: 34.26, 36.95) of the study children reportedly consumed at least one plant-based vitamin A-rich food group in the 24-h dietary recall period. The odds of consuming any plant-based vitamin A-rich food were significantly higher among children whose mothers had a higher education level (AOR: 2.55; 95% CI: 2.01, 3.25), those living in the highest wealth quintile households (AOR: 2.37; 95% CI: 1.92, 2.93), and in residentials where vitamin A-rich fruits were available (AOR: 1.20; 95% CI: 1.02, 1.41). Further research in residential food environment is necessary to understand the purchasing habits, affordability, and desirability of plant-based vitamin A-rich foods to widen strategic options to improve its consumption among preschoolers in low-income and low-education communities.

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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 (October 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 Planum may have formed in an acidic environment similar to AMD environments on Earth. Because microorganisms are typically involved in the oxidation of sulfides to sulfates in terrestrial AMD sites, sulfate-rich rock outcrops on Mars may be a good location to search for evidence of life on that planet. Whether or not life evolved on Mars, following the trail of sulfate minerals is likely to lead to aqueous processes and chemical weathering. Our results imply that sulfate minerals formed in Martian soils via chemical weathering, perhaps over very long time periods, and that sulfate minerals precipitated following aqueous oxidation of sulfides to form the outcrop rocks at Meridiani Planum.

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Gilman, Ekaterina, Satu Tamminen, Rumana Yasmin, Eemeli Ristimella, Ella Peltonen, Markus Harju, Lauri Lovén, Jukka Riekki, and Susanna Pirttikangas. "Internet of Things for Smart Spaces: A University Campus Case Study." Sensors 20, no. 13 (July 2, 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 our experiences and explore the challenges of a long-term real-world Internet of Things (IoT) deployment at a University campus. We demonstrate the technical implementation and data quality issues. We conduct several studies, from data analysis to interaction with space, utilizing the developed infrastructure, and we also share our actions to open the data for education purposes and discuss their outcomes. With this article, we aim to share our experience and provide real-world lessons learned when building an open, multipurpose, publicly used smart space at a University campus.

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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 (June 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 to obtain information. We also present the results of a formal evaluation. Although no statistically significant differences were found, results indicate that students who used the virtual environment had higher test scores than those who only attended a lecture on the material. Trends suggest that the virtual experience allowed students to learn information directly and also equipped them to better learn and understand material from a traditional lecture.

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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 (May 19, 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 summarized. Furthermore, an overview of the geometric, semantic, and topological reconstruction of the indoor environment is presented, where the existing methodologies, advantages, and disadvantages of these three reconstruction types are analyzed and summarized. Finally, future research directions, including technique challenges and trends, are discussed for the purpose of promoting future research interest. It can be concluded that most of the existing indoor environment reconstruction methods are based on the strong Manhattan assumption, which may not be true in a real indoor environment, hence limiting the effectiveness and robustness of existing indoor environment reconstruction methods. Moreover, based on the hierarchical pyramid structures and the learnable parameters of deep-learning architectures, multi-task collaborative schemes to share parameters and to jointly optimize each other using redundant and complementary information from different perspectives show their potential for the 3D reconstruction of indoor environments. Furthermore, indoor–outdoor space seamless integration to achieve a full representation of both interior and exterior buildings is also heavily in demand.

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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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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 (October 12, 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 action sequences in actual environments and helps to handle a network generalization issue due to the dataset shift. When the action recognition model is trained on the ETRI-Activity3D and KIST SynADL datasets and evaluated on the ETRI-Activity3D-LivingLab dataset, the performance can be severely degraded because the datasets were captured in different environments domains. To reduce this dataset shift between training and testing datasets, we propose a close-up of maximum activation, which magnifies the most activated part of a video input in detail. In addition, we present various experimental results and analysis that show the dataset shift and demonstrate the effectiveness of the proposed method.

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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 level of security and efficiency. In this paper, we propose a novel scheme for serverless efficient encrypted deduplication (SEED) in mobile cloud computing environments. Without the aid of additional servers, SEED ensures confidentiality, data integrity, and collusion resistance for outsourced data. The absence of dedicated servers increases the effectiveness of SEED for mobile cloud storage services, in which user mobility is essential. In addition, noninteractive file encryption with the support of lazy encryption greatly reduces latency in the file-upload process. The proposed indexing structure (D-tree) supports the deduplication algorithm and thus makes SEED much more efficient and scalable. Security and performance analyses prove the efficiency and effectiveness of SEED for mobile cloud storage services.

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Journal articles on the topic 'Data-rich environments'

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