Zobrazeno 1 - 10
of 105
pro vyhledávání: '"Kok-Leong Ong"'
Autor:
Rachel A. Laws, Miaobing Zheng, Vicki Brown, Sharyn Lymer, Karen J. Campbell, Catherine G. Russell, Sarah Taki, Eloise Litterbach, Kok‐Leong Ong, Elizabeth Denney‐Wilson
Publikováno v:
Maternal and Child Nutrition, Vol 20, Iss 4, Pp n/a-n/a (2024)
Abstract Mobile health (mHealth) interventions provide a low‐cost, scalable approach to supporting parents with infant feeding advice with the potential to reduce health care visits and associated costs for infant feeding support. This Australian s
Externí odkaz:
https://doaj.org/article/e7668e0d9caa4f42a13b4df25a783e13
Autor:
Rachel A. Laws, Heilok Cheng, Chris Rossiter, Konsita Kuswara, Brittany R. Markides, Donna Size, Patricia Corcoran, Kok‐Leong Ong, Elizabeth Denney‐Wilson
Publikováno v:
Maternal and Child Nutrition, Vol 19, Iss 2, Pp n/a-n/a (2023)
Abstract Despite the well‐known benefits of breastfeeding, breastfeeding rates remain suboptimal, particularly for women with lower socioeconomic position. Although popular, breastfeeding apps are often poor quality; their impact on breastfeeding k
Externí odkaz:
https://doaj.org/article/4403c905867649eda76f5f9a36b1ff78
Autor:
Rachel Laws, Penelope Love, Kylie D. Hesketh, Harriet Koorts, Elizabeth Denney-Wilson, Marj Moodie, Vicki Brown, Kok-Leong Ong, Jennifer Browne, Sarah Marshall, Sandrine Lioret, Liliana Orellana, Karen J. Campbell
Publikováno v:
Frontiers in Endocrinology, Vol 12 (2021)
IntroductionPromoting healthy eating and active play in early life is critical, however few interventions have been delivered or sustained at scale. The evaluation of interventions at scale is a crucial, yet under-researched aspect of modifying popul
Externí odkaz:
https://doaj.org/article/cf01645b7b3a4bc091b2b116bb9f955f
Autor:
Sarah Taki, Catherine Georgina Russell, Sharyn Lymer, Rachel Laws, Karen Campbell, Jessica Appleton, Kok-Leong Ong, Elizabeth Denney-Wilson
Publikováno v:
Frontiers in Endocrinology, Vol 10 (2019)
Purpose: Mobile health (mHealth) interventions have great potential to promote health. To increase consumer engagement in mHealth interventions it is necessary to address factors that influence the target demographic. The Growing healthy (GH) program
Externí odkaz:
https://doaj.org/article/cfc7d405717e459f983cc35d0f7b8b87
Autor:
Leeanne Carey, Alistair Walsh, Achini Adikari, Peter Goodin, Damminda Alahakoon, Daswin De Silva, Kok-Leong Ong, Michael Nilsson, Lara Boyd
Publikováno v:
Neural Plasticity, Vol 2019 (2019)
Aim. Neural plastic changes are experience and learning dependent, yet exploiting this knowledge to enhance clinical outcomes after stroke is in its infancy. Our aim was to search the available evidence for the core concepts of neuroplasticity, strok
Externí odkaz:
https://doaj.org/article/684748caff2a46a099b9ac2e4a7a3c66
Publikováno v:
Frontiers in Public Health, Vol 4 (2015)
Background and Aims: Mobile health (mHealth) interventions have great potential to promote health (Denney-Wilson, 2015). To date, mHealth studies using apps have focused on intervention outcomes and have neglected to understand participants’ intera
Externí odkaz:
https://doaj.org/article/547bf2a2772b4788b560617a3ba1694c
To investigate whether training load monitoring data could be used to predict injuries in elite Australian football players, data were collected from elite athletes over 3 seasons at an Australian football club. Loads were quantified using GPS device
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1de7cc042de1ae813eb798efb2fb9d0d
Publikováno v:
British Journal of Sports Medicine
Aims: (1) To investigate whether a daily acute:chronic workload ratio informs injury risk in Australian football players; (2) to identify which combination of workload variable, acute and chronic time window best explains injury likelihood. Methods:
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c2daeddaf8c9fda922df03e2b801fd3
Predicting ratings of perceived exertion in Australian football players: Methods for live estimation
The ability of machine learning techniques to predict athlete ratings of perceived exertion (RPE) was investigated in professional Australian football players. RPE is commonly used to quantifying internal training loads and manage injury risk in team
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dff8834bd14167ede7810a8bc297fe17
Publikováno v:
Future Generation Computer Systems. 124:467-479
Graph clustering is a fundamental task to discover community ties in multi-layer networks. In this paper, we propose a network embedding technique to find covert communities in multi-layer dark networks using a Log-BiLinear (LBL) approach. Recent wor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c69778f383d199158a3efb67325e73a3
https://doi.org/10.1016/j.future.2021.06.027
https://doi.org/10.1016/j.future.2021.06.027