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BACKGROUND: This study aimed to determine the accuracy of a point-of-care Bilistick method for measuring total serum bilirubin (TSB) and its turnaround time (TAT) against hospital laboratory methods. METHODS: This prospective study was carried out on 561 term-gestation jaundiced neonates in two Malaysian hospitals. Venous blood sample was collected from each neonate for contemporary measurement of TSB by hospital laboratories and Bilistick. TAT was the time interval between specimen collection and TSB result reported by each method. RESULTS: The mean laboratory-measured TSB was 194.85 (±2.844) µmol/L and Bilistick TSB was 169.37 (±2.706) µmol/L. Pearson's correlation coefficient was: r = 0.901 (p < 0.001). The mean difference of [laboratory TSB− Bilistick TBS] was 26.48 (±29.41) µmol/L. The Bland-Altman plots show that the 95% limits of agreement (−31.1577, 84.11772) contain 94.7% (=531/561) of the difference in TSB readings. Bilistick has a 99% accuracy and 100% sensitivity to predict laboratory TSB levels of ≥80 µmol/L and ≥360 µmol/L at lower Bilistick TSB levels of ≥55 and ≥315 µmol/L, respectively. TAT of Bilistick TSB (2.0 min) was significantly shorter than TAT (105 min) of laboratory TSB (p < 0.001). CONCLUSIONS: Bilistick has shorter TAT. The accuracy and sensitivity of Bilistick TSB for predicting laboratory TSB is high at lower cutoff levels.

ObjectivesPractitioners of mindfulness are reported to have greater cognitive control especially in conflict monitoring, response inhibition and sustained attention. However, due to the various existing methods in each mindfulness practices and also, the high commitment factor, a barrier still exists for an individual to pick up the practices. Therefore, the effect of short duration deep breathing on the cognitive control is investigated here.MethodsShort duration guided deep breathing videos consisting of 5, 7 and 9 min respectively were created and used on subjects training. The effect on cognitive control was assessed using a Go/NoGo task along with event-related potential (ERP) measurements at Fz, Cz, and Pz.ResultsFrom the study, the significant outcome showed at the follow-up session in which participants engaged for 5 min deep breathing group showed a profound NoGo N2 amplitude increment as compared to the control group, indicating an enhanced conflict monitoring ability. An inverse relationship between the NoGo N2 amplitude and the breathing duration is observed as well at the follow-up session.ConclusionThese results indicated the possibility of performing short duration deep breathing guided by a video to achieve an enhanced conflict monitoring as an alternative to other mindfulness practices and 5 min is found to be the optimum practice duration.SignificantThis study is the first to establish a relationship between deep breathing and conflict monitoring through ERP. The study population of young adults taken from the same environment reduces the variance in ERP results due to age and environment.LimitationA larger sample size would provide a greater statistical power. A longer duration of deep breathing should be investigated to further clarify the relationship between the practice duration and the NoGo N2 amplitude. The result can be split by gender and analyzed separately due to the different brain structure of males and females.

Purpose The purpose of this paper is to analyse and predict the housing prices in Petaling district, Malaysia and its six sub-regions with a set of housing attributes using functional relationship model. Design/methodology/approach A new multiple unreplicated linear functional relationship model with both the response and explanatory variables are subject to errors is proposed. A total of 41,750 housing transacted records from November 2008 to February 2016 were used in this study. These data were divided into 70% training and 30% testing sets for each of the selected sub-regions. Individual housing price was regressed on nine housing attributes. Findings The results showed the proposed model has better fitting ability and prediction accuracy as compared to the hedonic model or multiple linear regression. The proposed model achieved at least 20% and 40% of predictions that have less than 5% and 10% deviations from the actual transacted housing prices, respectively. House buyers in these sub-regions showed similar preferences on most of the housing attributes, except for residents in Shah Alam who preferred to stay far away from shopping malls, and leasehold houses in Sri Kembangan are more valuable. From the h-nearest houses indicator, it is concluded that the housing market in Sungai Buloh is the most volatile in Petaling District. Research limitations/implications As the data used are the actual housing transaction records in Petaling District, it represents only a segment of Malaysian urban population. The result will not be generalized to the entire Malaysian population. Practical implications This study is expected to provide insights to policymakers, property developers and investors to understand the volatility of the housing market and the influence of determinants in different sub-regions. The potential house buyers could also use the model to determine if a house is overpriced. Originality/value This study introduces measurement errors into the housing attributes to provide a more reliable analysis tool for the housing market. This study is the first housing research in Malaysia that used a large number of actual housing transaction records. Previous studies relied on small survey samples.

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