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Malaysians are the highest seafood consumers in the region; be it fresh or processed. Environmental pollution has put the safety of seafood at stake, heavy metals among others. This study was done to assess the health risk associated with selected heavy metals ingestion from processed seafood.

The most preferred processed seafood type and the intake rates were determined from a cross-sectional survey among communities in Shah Alam, Selangor (n = 90). The processed seafood were then purchased from local traders (n = 81), underwent homogenization, acid digestion (0.5 g) in Multiwave 3,000 and heavy metal quantitation (Hg, Pb, Cd, As) using ICP-MS. Estimated weekly ingestion (EWI), hazard quotient (HQ), hazard index (HI), lifetime cancer risk (LCR), and target risk (TR) were used to estimate the risk associated with processed seafood consumption.

Arsenic was the highest metal detected, acetes topping the list (10.05 ± 0.02 mg/kg). Mercury was detected at significantly higher level in salted fourfinger threadfin (0.88 ± 0.09 mg/kg) while Pb and Cd in toli shad (2.67 ± 0.16 mg/kg; 0.32 ± 0.22 mg/kg). Non-cancer risk was estimated for consumption of dried/salted food types with hazard index (HI) anchoives (5.2) > salted fourfinger threadfin (1.8) > toli shad (1.7). Besides, an unacceptable cancer risk was estimated for all food types for continuous consumption (Total risk (TR) > 10–4), except the dried acetes.

This study implies that although the concentration of most heavy metals were well below the permitted value, significant amount of risk present for consumption of several species. In addition, for selected heavy metals such as Hg and As, speciation analysis followed by risk assessment would provide a clearer picture.

There is a need to refer back to the local permissible level of heavy metals in processed seafood and formulate safe consumption guide.

The food types are advised to be consumed with caution especially by the sensitive group.

This study estimated the risk of cancer and other non-cancer disease from processed seafood consumption among Malaysian women.

The aim of this paper is to explore, analyse and summarise the potential tangible user interface (TUI) design features for dyslexics learning to read and spell.

This study adopts a systematic literature review method through a manual search of published papers from 2011. This systematic literature review consists of three main phases starting with planning the review, conducting the review and studying the selection and reporting the results.

As the result, 10 papers were found that are considered most applicable as they met the review criteria. Based on the 10 papers, 11 design features are found in the current TUIs design features implemented in the tangible system dedicated for dyslexia and reading. The 11 design features are viewed to be fundamental and useful for the groundwork towards designing and developing a comprehensive TUIs design specifically and exclusively meant for dyslexic children learning to read and spell.

A critical reading of past literature relating to the TUIs concept reveals that this concept still appears to be under-explored even though it was introduced two decades ago. This systematic literature review highlights directions for future research, involving the dyslexic children early in the design process towards the evaluation of the prototype and finally examining the outcome of TUIs on children's learning.

Ulam is a traditional salad that contains high levels of antioxidants and is commonly consumed in raw form. However, the average ulam consumption among the low-income Malaysian population was only ½ serving daily. Thus, this study aimed to explore the motivators and barriers to ulam consumption among residents of low-cost housing areas (household income RM4849 or $1015.50) in Kuala Lumpur, Malaysia.

Six focus group discussions were conducted with 27 Malay residents aged 18–59 years in Kuala Lumpur, Malaysia. The researchers asked the participants a series of semi-structured questions. All the interviews were audio-recorded and transcribed verbatim. Two researchers coded the transcripts independently, and several themes were identified. The data were analysed using Nvivo version 12 software.

Three main factors for ulam consumption were identified in this study: personal, environmental and behavioural. The motivators and barriers were identified based on nine main themes and 16 sub-themes.

The results of this study identified potential areas for an effective intervention to increase ulam intake among residents in low-cost housing areas.

This work has the potential to identify the factors that have an impact on consumers' ulam preferences to help fulfil daily vegetable recommendations.

Aging adults from low-income residential areas were found to have poor nutritional status and mental health based on National Health and Morbidity Survey Malaysia (2015). Good nutrient intake contributes positively in averting these problems. Traditional Asian vegetables (ulam) are rich in polyphenols, antioxidants and fibres which could enhance nutritional status and mood state. This study intended to determine the relationship between habitual ulam intake and nutritional status, mood state and cognition among 252 aging Malaysian adults aged 45–80 years from the low-income residential areas in Klang Valley, Malaysia.

It was a cross-sectional study that used convenient sampling. Advertisement and invitation letters were sent to three selected community centres in Klang Valley prior to data collection. Informed consent was obtained prior to the collection of socio-demographic data. Anthropometric measurement was performed as per standard protocols. Validated surveys were conducted to obtain information on ulam consumption, mood state and cognitive status using validated food frequency questionnaires, Profile of Mood State and Mini-Mental State Examination questionnaires, respectively.

The average of ulam intake was 20.5 ± 2.5 g/day (½ serving daily). Habitual ulam intake was associated with lower waist circumference (R² = 0.166, β = −0.216, p < 0.01), better MMSE scores (R² = 0.337, β = 0.128, p < 0.05), less anger (R² = 0.081, β = −0.116, p < 0.05), less tension (R² = 0.139, β = −0.204, p < 0.01) and positive total mood disturbance (R² = 0.095, β = 0.164, p < 0.05) after adjustment for gender, age, energy intake, total fruits and vegetables (non-ulam) consumption. The ulam intake at 100th percentile (=30g/day) associated to a better nutritional status, mood state and cognitive status in comparison to 25th percentile (<7.9 g/day) (p < 0.05).

Findings from this research would recommend people to consume not less than 1 serving of ulam everyday in order to have improved nutritional status, mood and cognition; nonetheless, future studies are required to clarify the causal mechanism concerning this relationship.

The purpose of this paper is to investigate political influential spreaders in Twitter at the juncture before and after the Malaysian General Election in 2013 (MGE2013) for the purpose of understanding if the political sphere within Twitter reflects the intentions, popularity and influence of political figures in the year in which Malaysia has its first “social media election.”

A Big Data approach was used for acquiring a series of longitudinal data sets during the election period. The work differs from existing methods focusing on the general statistics of the number of followers, supporters, sentiment analysis, etc. A retweeting network has been extracted from tweets and retweets and has been mapped to a novel information flow and propagation network we developed. The authors conducted quantitative studies using k-shell decomposition, which enables the construction of a quantitative Twitter political propagation sphere where members posited at the core areas are more influential than those in the outer circles and periphery.

The authors conducted a comparative study of the influential members of Twitter political propagation sphere on the election day and the day after. The authors found that representatives of political parties which are located at the center of the propagation network are winners of the presidential election. This may indicate that influential power within Twitter is positively related to the final election results, at least in MGE2013. Furthermore, a number of non-politicians located at the center of the propagation network also significantly influenced the election.

This research is based on a large electoral campaign in a specific election period, and within a predefined nation. While the result is significant and meaningful, more case studies are needed for generalized application for identifying potential winning candidates in future social-media fueled political elections.

The authors presented a simple yet effective model for identifying influential spreaders in the Twitter political sphere. The application of the authors’ approach yielded the conclusion that online “coreness” score has significant influence to the final offline electoral results. This presents great opportunities for applying the novel methodology in the upcoming Malaysian General Election in 2018. The discovery presented here can be used for understanding how different players of political parties engage themselves in the election game in Twitter. The approach can also be adopted as a factor of influence for offline electoral activities. The conception of a quantitative approach in electoral results greatly influenced by social media means that comparative studies could be made in future elections.

Existing works related to general elections of various nations have either bypassed or ignored the subtle links between online and offline influential propagations. The modeling of influence from social media using a longitudinal and multilayered approach is also rarely studied. This simple yet effective method provides a new perspective of practice for understanding how different players behave and mutually shape each other over time in the election game.