Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Maria Pampaka"'
Publikováno v:
SAGE Open, Vol 14 (2024)
The current paper reports systematic variations of people’s attitudes toward gender and gendered roles between countries and regions in Europe, making regional and national comparisons simultaneously visible on the same scale over time. We operatio
Externí odkaz:
https://doaj.org/article/e6ad7eb7e0d34f7095ec397432ddc9cd
Explaining tourist revisit intention using natural language processing and classification techniques
Publikováno v:
Journal of Big Data, Vol 10, Iss 1, Pp 1-31 (2023)
Abstract Revisit intention is a key indicator of business performance, studied in many fields including hospitality. This work employs big data analytics to investigate revisit intention patterns from tourists’ electronic word of mouth (eWOM) using
Externí odkaz:
https://doaj.org/article/35e6fdc9c9324c01be08623993e54e46
Autor:
Bindu Vekaria, Christopher Overton, Arkadiusz Wiśniowski, Shazaad Ahmad, Andrea Aparicio-Castro, Jacob Curran-Sebastian, Jane Eddleston, Neil A Hanley, Thomas House, Jihye Kim, Wendy Olsen, Maria Pampaka, Lorenzo Pellis, Diego Perez Ruiz, John Schofield, Nick Shryane, Mark J. Elliot
Publikováno v:
BMC Infectious Diseases, Vol 21, Iss 1, Pp 1-15 (2021)
Abstract Background Predicting hospital length of stay (LoS) for patients with COVID-19 infection is essential to ensure that adequate bed capacity can be provided without unnecessarily restricting care for patients with other conditions. Here, we de
Externí odkaz:
https://doaj.org/article/473b6e13515c4bb79816ebd2569496cc
Publikováno v:
Data in Brief, Vol 38, Iss , Pp 107387- (2021)
The purpose of this article is to provide raw data and measure-validation data pertaining to a co-submission published in European Journal of Radiology and entitled: Development and validation of a novel measure of adverse patient positioning in mamm
Externí odkaz:
https://doaj.org/article/61758b7affb8489c89c2d1c57309b0d3
Autor:
Nick Shryane, Diego Andres Perez Ruiz, Wendy Olsen, Jennifer Murphy, Ji Hye Kim, Mark Elliot, Shazaad Ahmad, Andrea Lisette Aparicio Castro, Maria Pampaka, Arkadiusz Wiśniowski
Publikováno v:
International Journal of Population Data Science, Vol 5, Iss 4 (2021)
Introduction Length of Stay (LoS) in Intensive Care Units (ICUs) is an important measure for planning beds capacity during the Covid-19 pandemic. However, as the pandemic progresses and we learn more about the disease, treatment and subsequent LoS in
Externí odkaz:
https://doaj.org/article/6877925d4b814a50942fdd99206ce6b9
Publikováno v:
Red U, Vol 12, Iss 2, Pp 97-118 (2014)
We report on the development and validation of an instrument that measures students’ perceptions of ‘the quality and effectiveness of the learning support’ (for mathematics) during their transition to university. This is achieved through quanti
Externí odkaz:
https://doaj.org/article/127f07c56a324709a01d5437a07870af
Autor:
Stephanie Thomson, Maria Pampaka
Publikováno v:
Thomson, S & Pampaka, M 2021, ' Exploring associations with mathematics dispositions: a novel perspective combining measurement and set-theoretic analytical approaches ', International Journal of Research & Method in Education, vol. 44, no. 5, pp. 474-492 . https://doi.org/10.1080/1743727X.2020.1856066
In this paper, we approach modelling mathematics dispositions from a different methodological perspective in order to shed more light into the complex interplay between teaching practices and students’ learning outcomes. We draw on survey data from
Publikováno v:
Information Systems and Technologies ISBN: 9783031048258
Lecture Notes in Networks and Systems book series, vol. 468 LNNS, pp. 13 - 21 Recommendation systems are popular tools assisting consumers with the over-choice problem; however, they have been criticized of insufficient performance in highly complex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9638701b0b7afef4c01f05c05d4d996e
https://api.elsevier.com/content/abstract/scopus_id/85130242847
https://api.elsevier.com/content/abstract/scopus_id/85130242847
This paper presents a machine learning approach involving tourists’ electronic word of mouth (eWOM) to support destination marketing campaigns. This approach enhances optimisation of a critical aspect of marketing campaigns, that is, the communicat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16f8ac82a99daa3604b7344dcbd97d3f
https://api.elsevier.com/content/abstract/scopus_id/85109443584
https://api.elsevier.com/content/abstract/scopus_id/85109443584
Autor:
Maria Pampaka
The chapter provides a review of the potential value of accelerated longitudinal designs (ALD) for research, through (i) a systematic literature review, and (ii) an original investigation showing in particular the importance of evaluation of measurem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2189b2bc0850612286326f0efd70d1f
https://doi.org/10.1093/oso/9780198859987.003.0017
https://doi.org/10.1093/oso/9780198859987.003.0017