Results 11 to 20 of about 1,405,618 (304)
Spatially-averaged momentum fluxes and stresses in flows over mobile granular beds : a DNS-based study [PDF]
, 2017 Acknowledgements The authors gratefully acknowledge the Centre for Information Services and High Performance Computing (ZIH), Dresden, and the Jülich Supercomputing Centre (JSC) for providing computing time.
Fröhlich, Jochen +3 more
core +1 more source
Metasynthetic computing for solving open complex problems [PDF]
, 2008 Complex systems, in particular, open complex giant systems have become one of major challenges to many current disciplines such as system sciences, cognitive sciences, intelligence sciences, computer sciences, and information sciences.
Cao, L
core +1 more source
Data in Brief, 2023 This dataset highlights some of the water quality issues in Uganda. The rationale for collecting the water samples was to test and ascertain the level and source of contamination. A total of one hundred and eighty five samples were collected from sixteen
Hasifah Kasujja Namatovu +2 more
doaj +1 more source
Cyclic peptide production using a macrocyclase with enhanced substrate promiscuity and relaxed recognition determinants [PDF]
, 2017 This project was supported by grants from the ERC (no. 339367, MJ), BBSRC IBCatalyst (no. BB/M028526/1, MJ, WEH), BBSRC FoF (no. BB/M013669/1, MJ, WEH), IBioIC Exemplar (no. 2014-2-4, MJ, WEH), an AstraZeneca studentship (MJ, WEH, LT, KR), the Academy of
Alexandru-Crivac, Cristina N. +16 more
core +1 more source
Clean Air Journal, 2022 Air pollution is considered a major public health risk globally, and the global South including sub-Saharan Africa face particular health risks, but there is limited data to quantify the level of pollution for different air quality contexts.
Paul Green +4 more
doaj +1 more source
Ontology boosted deep learning for disease name extraction from Twitter messages
Journal of Big Data, 2018 This paper presents an ontology based deep learning approach for extracting disease names from Twitter messages. The approach relies on simple features obtained via conceptual representations of messages to obtain results that out-perform those from word
Mark Abraham Magumba +2 more
doaj +1 more source
Unconventional machine learning of genome-wide human cancer data
, 2020 Recent advances in high-throughput genomic technologies coupled with exponential increases in computer processing and memory have allowed us to interrogate the complex aberrant molecular underpinnings of human disease from a genome-wide perspective ...
Bajaj, Sweta R. +7 more
core +1 more source
A Novel Software Architecture Solution with a Focus on Long-Term IoT Device Security Support
Applied Sciences, 2021 This paper presents a solution for upgrading a previous device model to an Industry 4.0 smart device, with the goal of maintaining high compatibility. A novel IoT architecture is presented that satisfies the characteristics of a smart device. We analysed
Ivica Dodig +3 more
doaj +1 more source
Performance of Graph and Relational Databases in Complex Queries
Applied Sciences, 2022 In developing NoSQL databases, a major motivation is to achieve better efficient query performance compared with relational databases. The graph database is a NoSQL paradigm where navigation is based on links instead of joining tables.
Petri Kotiranta +2 more
doaj +1 more source
Graph Theoretic and Pearson Correlation-Based Discovery of Network Biomarkers for Cancer
Data, 2019 Two graph theoretic concepts—clique and bipartite graphs—are explored to identify the network biomarkers for cancer at the gene network level.
Raihanul Bari Tanvir +4 more
doaj +1 more source