Results 11 to 20 of about 589,491 (167)
Journal of Big Data, 2016 Using a random sample consisting of hundreds of companies worldwide, we are testing the impact on company performance of investing in big data projects targeted on three major business domains (namely, customer interface, company supply chain and competitors).
Jacques Bughin +2 more
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Big Data, Big Knowledge: Big Data for Personalized Healthcare
IEEE Journal of Biomedical and Health Informatics, 2015 The idea that the purely phenomenological knowledge that we can extract by analyzing large amounts of data can be useful in healthcare seems to contradict the desire of VPH researchers to build detailed mechanistic models for individual patients. But in practice no model is ever entirely phenomenological or entirely mechanistic.
Viceconti, M., Hunter, P., Hose, R.
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, 2021 The advent of Big Data is a recent and debated issue in Digital Archaeology. The term 'Big Data' was introduced about 15 years ago, as a consequence of the impact of the Internet's expansion, which in turn inaugurated the era of Information Age. The shift in scale of data volume in archaeology and the need for new analytical methods and techniques are ...
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Big data, big responsibilities [PDF]
Internet Policy Review, 2014 Big data refers to the collection and aggregation of large quantities of data produced by and about people, things or the interactions between them. With the advent of cloud computing, specialised data centres with powerful computational hardware and software resources can be used for processing and analysing a humongous amount of aggregated data ...
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BioTechniques, 2020 With our increasing capabilities in research techniques and tools comes an inevitable increase in the amount of data and the complexity of datasets. But how do we cope with this plethora of data?
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Big science and big data in nephrology [PDF]
Kidney International, 2019 Published by Elsevier, New York ...
Markus M. Rinschen +7 more
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Faraday DiscussionsThe advent of larger datasets in materials science poses unique challenges in modeling, infrastructure, and data diversity and quality.
Daniel Speckhard +5 more
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Big Data, Big Opportunities, and Big Challenges [PDF]
Journal of Investigative Dermatology Symposium Proceedings, 2015 High-throughput assays have begun to revolutionize modern biology and medicine. The advent of cheap next-generation sequencing (NGS) has made it possible to interrogate cells and human populations as never before. Although this has allowed us to investigate the genetics, gene expression, and impacts of the microbiome, there remain both practical and ...
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SSRN Electronic Journal, 2017 We study competition in data‐driven markets, where the cost of quality production decreases in the amount of machine‐generated data about user preferences or characteristics. This gives rise to data‐driven indirect network effects. We construct a dynamic model of R&D competition, where duopolists repeatedly determine innovation investments.
Prüfer, Jens, Schottmüller, Christoph
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FEBS Letters, EarlyView.In vivo IL‐10 produced by tissue‐resident tolDC is involved in maintaining/inducing tolerance. Depending on the agent used for ex vivo tolDC generation, cells acquire common features but prime T cells towards anergy, FOXP3+ Tregs, or Tr1 cells according to the levels of IL‐10 produced. Ex vivo‐induced tolDC were administered to patients to re‐establish/
Konstantina Morali +3 more
wiley +1 more source