METHODS: A population-based cross-sectional study was conducted in Singapore. Participants wore an accelerometer for 7 days to measure physical activity (PA). Demographic, anthropometric and psychological data were also collected. Psychological variables included PA guideline knowledge, motivational profile for PA self-regulation (5 subscales), perceived barriers to PA (4 subscales) and perceived social support for PA. Regression models with adjustment for socio-demographic variables were fitted.

METHODS: We analysed data from 4101 adults (Malay, n = 1901 and Indian, n = 2200) who participated in the baseline (2004-2009) and 6-year follow-up (2011-2015) of two independent population-based studies with similar methodology in Singapore. BMI was categorised into normal (<25 kg/m2), overweight (25-29.9 kg/m2) and obese (≥30 kg/m2). DM was diagnosed as random plasma glucose ≥200 mg/dL, HbA1c ≥6.5% or self-reported physician diagnosed DM. DR was assessed from retinal photographs graded using a standard protocol. The associations of baseline BMI with incident DM and DR was examined using multivariable poisson regression models adjusting for potential confounders including duration of DM, family history of DM and HbA1c.

METHODS: A literature search was conducted in PubMed, Scopus, MyJurnal and the UKM Journal Repository. The search process was based on a previously published methodology. The medical subject headings (MeSH) search terms used were "aortic", "aorta" and "Malaysia".

RESULTS: Two-hundred-thirteen papers were identified, of which 60 papers were selected and reviewed on the basis of their relevance. The epidemiology, pathophysiology, clinical presentations, case reports, investigations, treatment and outcomes of aortic disease in Malaysia were reviewed and summarised. The clinical relevance of the studies performed are discussed.

STUDY DESIGN: A cross-sectional survey was done involving 707 different flavours and packaging of instant noodles sold in six hypermarkets and retailer chains in Malaysia and the corresponding brand's official websites in 2017.

METHODS: The salt content (gram per serving and per 100 g) was collected from the product packaging and corresponding brand's official website.

RESULTS: Of the 707 different packaging and flavours of instant noodles, only 62.1% (n=439) provided the salt content in their food label.The mean (±SD) salt per 100 g of instant noodles was 4.3±1.5 g and is nearly four times higher than the salt content of food classified in Malaysia as a high salt content (>1.2 g salt per 100 g). The salt content for instant noodle per packaging ranged from 0.7 to 8.5 g. 61.7% of the instant noodles exceeded the Pacific Salt Reduction Target, 11.8% exceeded the WHO recommended daily salt intake of <5.0 per day and 5.50% exceeded Malaysia Salt Action Target. 98% of instant noodles will be considered as high salt food according to the Malaysia Guidelines.The probability of the instant noodles without mixed flavour (n=324) exceeding the Pacific Salt Reduction Target was tested on univariate and multivariate analysis. Instant noodles with soup, Tom Yam flavour, pork flavour and other flavours were found to be predictors of instant noodles with the tendency to exceed Pacific Salt Reduction Target when compared with instant noodles without mixed flavours (p<0.05).

METHODS: We propose to use Residual Blocks with a 3 × 3 kernel size for local feature extraction and Non-Local Blocks to extract the global features. The Non-Local Block has the ability to extract global features without using a huge number of parameters. The key idea behind the Non-Local Block is to apply matrix multiplications between features on the same feature maps.