Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Matthew Higgs"'
Autor:
Ragavan V. Suresh, Elizabeth W. Bradley, Matthew Higgs, Vincenzo C. Russo, Maha Alqahtani, Wiehua Huang, Chandra Shekhar Bakshi, Meenakshi Malik
Publikováno v:
Frontiers in Microbiology, Vol 12 (2021)
Francisella tularensis (F. tularensis) is a Gram-negative, intracellular bacterium and the causative agent of a fatal human disease known as tularemia. The CDC has classified F. tularensis as a Tier 1 Category A select agent based on its ease of aero
Externí odkaz:
https://doaj.org/article/eea0977272cb4b92b10cdc171e342250
Publikováno v:
Frontiers in Public Health, Vol 4 (2015)
Background: There are many mobile applications being developed to promote healthy lifestyles. Some use gamification as well as psychological behaviour change techniques (BCTs) to increase engagement and potential impact on health behaviours. Despite
Externí odkaz:
https://doaj.org/article/eaa12ec130c3416bbf95542c036217c4
Publikováno v:
J Bacteriol
Francisella tularensis is an intracellular, Gram-negative bacterium known for causing a disease known as tularemia in the Northern Hemisphere. F. tularensis is classified as a category A select agent by the CDC based on its possible use as a bioterro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2cfe5233b5e2f6ca6e989b335ebf600
https://doi.org/10.1128/jb.00082-22
https://doi.org/10.1128/jb.00082-22
Autor:
Matthew Higgs, Maha Alqahtani, Vincenzo Russo, Chandra Shekhar Bakshi, Meenakshi Malik, Wiehua Huang, Ragavan Varadharajan Suresh, Elizabeth W Bradley
Publikováno v:
Frontiers in Microbiology, Vol 12 (2021)
Frontiers in Microbiology
Frontiers in Microbiology
Francisella tularensis(F. tularensis) is a Gram-negative, intracellular bacterium and the causative agent of a fatal human disease known as tularemia. The CDC has classifiedF. tularensisas a Tier 1 Category A select agent based on its ease of aerosol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::379bb972318bf20e24c6225e024d3fd1
https://www.frontiersin.org/articles/10.3389/fmicb.2021.725572/full
https://www.frontiersin.org/articles/10.3389/fmicb.2021.725572/full
Publikováno v:
Annals of the Rheumatic Diseases. 79:917.2-917
Background:Sjögren’s syndrome (SS) is a rheumatic disease requiring self-management which may be delivered through smartphones. When developing digital interventions it is important to review what is already available (market segmentation)1to iden
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1083531b389c9c71770b2d474c78d221
https://doi.org/10.1136/annrheumdis-2020-eular.997
https://doi.org/10.1136/annrheumdis-2020-eular.997
Publikováno v:
CHI
There have been many large-scale investigations of users' mobile app launch behaviour, but all have been conducted on Android, even though recent reports suggest iPhones account for a third of all smartphones in use. We report on the first large-scal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edfd4757279de8c8d9b561bec761bef4
https://eprints.gla.ac.uk/161233/1/161233.pdf
https://eprints.gla.ac.uk/161233/1/161233.pdf
Autor:
Alistair Morrison, Mark Girolami, Seppo Virtanen, Matthew Chalmers, Matthew Higgs, Mattias Rost
Publikováno v:
Stat. 4:46-58
Analysis of trace logging data collections of interactions of a heterogenous and diverse population of consumers of digital software with mobile devices provides unprecedented possibilities for understanding how software is actually used and for find
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfa67e04e33e5c4d6214fbf8991be87c
https://doi.org/10.1002/sta4.75
https://doi.org/10.1002/sta4.75
Publikováno v:
Quantitative Evaluation of Systems ISBN: 9783319106953
QEST
QEST
Software developers cannot always anticipate how users will actually use their software as it may vary from user to user, and even from use to use for an individual user. In order to address questions raised by system developers and evaluators about
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f8bf565ed92773c9bd53c7e0f513739
https://doi.org/10.1007/978-3-319-10696-0_11
https://doi.org/10.1007/978-3-319-10696-0_11
Autor:
Matthew Higgs, Fiona Banner
Publikováno v:
Afterall: A Journal of Art, Context and Enquiry. :74-87
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e9ce6eb0c6f004ab0ce37c9068de65e
https://doi.org/10.1086/aft.0.20711370
https://doi.org/10.1086/aft.0.20711370
Publikováno v:
CHI Extended Abstracts
We apply a statistical modelling-based approach to exploring, analysing and predicting behavioural patterns of users of mobile software. The technique employed represents the behaviour of each user through a weighted mixture over data-generating dist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f8903b7988817b76322ea0fc43597df
https://doi.org/10.1145/2468356.2468405
https://doi.org/10.1145/2468356.2468405