Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Geoffrey Tan"'
Publikováno v:
In International Journal of Impact Engineering October 2015 84:159-170
Autor:
Ka Kei Sum, Shirong Cai, Evelyn Law, Bobby Cheon, Geoffrey Tan, Evelyn Loo, Yung Seng Lee, Fabian Yap, Jerry Kok Yen Chan, Mary Daniel, Yap Seng Chong, Michael Meaney, Johan Eriksson, Jonathan Huang
Publikováno v:
JAMA Pediatrics
This cohort study investigates the life experiences, outdoor activity level, and adiposity changes in children in Singapore 1 year after COVID-19–related lockdown.
Key Points Question What are typical lifestyle changes experienced by children
Key Points Question What are typical lifestyle changes experienced by children
Autor:
Lee Seng Esmond Seow, Sherilyn Chang, Rajeswari Sambasivam, Mythily Subramaniam, Sharon Huixian Lu, Hanita Assudani, Chern-Yee Geoffrey Tan, Janhavi Ajit Vaingankar
Publikováno v:
DIGITAL HEALTH. 9:205520762211474
Objective Keyes’s two-continua model of mental health proposes that mental illness and positive mental health are two separate, correlated, unipolar dimensions. eHealth services have been used to deliver mental health care, though the focus remaine
Autor:
Sharon Huixian Lu, Rajeswari Sambasivam, Janhavi Ajit Vaingankar, Esmond Seow, Sherilyn Chang, Mythily Subramaniam, Siow Ann Chong, Hanita Ashok Assudani, Geoffrey Tan
Publikováno v:
Frontiers in Psychology
Frontiers in Psychology, Vol 12 (2021)
Frontiers in Psychology, Vol 12 (2021)
Objective: This study examined self-help strategies engaged by psychotherapy clients and explored their views on such self-help approach.Methods: Secondary analysis of data from a qualitative research study was conducted. A total of 15 psychotherapy
Autor:
Mythily Subramaniam, Janhavi Ajit Vaingankar, Lee Seng Esmond Seow, Huixian Sharon Lu, Chern-Yee Geoffrey Tan, Sherilyn Chang, Rajeswari Sambasivam, Hanita Ashok Assudani
Publikováno v:
Frontiers in Psychology, Vol 12 (2021)
Frontiers in Psychology
Frontiers in Psychology
Background: The study of the experience of clients across multiple service encounters (or touchpoints) is important from the perspective of service research. Despite the availability of effective psychotherapies, there exists a significant gap in the
Publikováno v:
Powder Technology. 320:470-473
The determination of the surface energy of free-flowing fine powders through IGC analysis can be technically challenging. These powders can have high packing efficiencies that can often lead to excessive gas pressure build up as the mobile phase pass
Autor:
Geoffrey Tan, Ian Larson, Thomas R. Gengenbach, Felix Meiser, David Alexander Vodden Morton, Sharad Mangal
Publikováno v:
European Journal of Pharmaceutics and Biopharmaceutics. 104:110-116
Objective In this study, we investigated the applicability of cohesive–adhesive balance (CAB) model to predict the interactive mixing behaviour of small excipient particles. Further, we also investigated the application of this CAB model to predict
Autor:
Yu Teng Lee, Nicholas W. Wood, Richard S. J. Frackowiak, Clarence Chih King Tan, Geoffrey Tan, Carlton Chu, John Ashburner
Publikováno v:
NeuroImage, vol. 221, pp. 117087
NeuroImage, Vol 221, Iss, Pp 117087-(2020)
NeuroImage, Vol 221, Iss, Pp 117087-(2020)
The androgen receptor (AR), oestrogen receptor alpha (ESR1) and oestrogen receptor beta (ESR2) play essential roles in mediating the effect of sex hormones on sex differences in the brain. Using Voxel-based morphometry (VBM) and gene sizing in two in
Publikováno v:
Journal of pharmaceutical and biomedical analysis. 145
Liquid intrusion remains one of the most common methods to measure the contact angle of liquids to powders. However, as there are two unknown variables in the Washburn equation: the material constant (that is, the pore structure of the powder bed) an
Autor:
Nikolaus Kriegeskorte, Geoffrey Tan, Janaina Mourao-Miranda, Carlton Chu, Yu-Chin Chiu, John Ashburner
Publikováno v:
NeuroImage. 58:560-571
This paper describes a general kernel regression approach to predict experimental conditions from activity patterns acquired with functional magnetic resonance image (fMRI). The standard approach is to use classifiers that predict conditions from act