Use of SketchBook Pro with Tablet PC (TabSketch™) as a design thinking tool in the teaching and learning of design and technology

This paper shares the preliminary findings from the first two phases of an exploratory study on the potential of Tab-Sketch™ as i) a design-thinking tool for design and technology (D&T) teachers and pupils in secondary schools; ii) a teaching and learning tool for D&T teachers; and iii) a platform to document design-thinking in the form of digital design journal. Tab-Sketch is an acronym derived from Tablet PC and SketchBook Pro, a computer software. The study, which is naturalistic in approach, was initiated in Nov 2004 and has evolved into three phases. Phases 1 and 2 were completed. Phase 3 has commenced in Aug 2006 and will end in Dec 2007. The insights and experiences gained from the first two phases include: • the concept of ‘growing ideas’ conveniently and dynamically; • the potential of the software for quick sketches and editing via features like layer and the range of rendering tools available; • Tab-Sketch as a tool for the teacher-designer to dialogue with self and to practise rapid visualisation; • capturing design conversations graphically and digitally between teacher and pupil; and • ease in manipulating images and ideating presentation drawings. These preliminary findings have shaped Phase 3 of the study which is still on-going

Prevalence, awareness and control of hypertension in Malaysia from 1980-2018: a systematic review and meta-analysis

Background: Hypertension is a common public health problem worldwide and is a well-known risk factor for increased risk of cardiovascular diseases, contributing to high morbidity and mortality. However, there has been no systematic review and meta-analysis of a multiethnic population such as that of Malaysia. Aim: To determine the trend in prevalence, awareness and control rate of hypertension in Malaysia. Methods: Systematic searches were conducted in six databases (PubMed, Scopus, Ovid, CINAHL, Malaysian Medical Repository and Malaysia Citation Index) for articles published between 1980 and 2018. Two authors reviewed the studies and performed quality assessment and data extraction independently. Pooled estimates of hypertension prevalence, awareness and control rate were calculated using the DerSimonian-Laird random-effects model. Subgroup and sensitivity analyses were performed. Results: We included 56 studies involving a total of 241796 participants. The overall pooled prevalence of hypertension aged ≥ 18 years was 29.7%. The prevalence of hypertension was the lowest in the 1980s (16.2%, 95% confidence interval (CI): 13.4, 19.0), increasing up to 36.8% (95%CI: 6.1, 67.5) in the 1990s, then decreasing to 28.7% (95%CI: 21.7, 35.8) in the 2000s and 26.8% (95%CI: 21.3, 32.3) in the 2010s. The prevalence of awareness was 51.4% (95%CI: 46.6, 56.3), while 33.3% (95%CI: 28.4, 38.2) of those on treatment had achieved control of their blood pressure. Conclusion: In Malaysia, three in ten adults aged ≥ 18 years have hypertension, while four in ten adults aged ≥ 30 years have hypertension. Five out of ten people are aware of their hypertension status and only one-third of those under treatment achieved control of their hypertension. Concerted efforts by policymakers and healthcare professionals to improve awareness and control of hypertension should be of high priority

Knowledge on the action to be taken and recognition of symptoms of stroke in a community: findings from the May Measurement Month 2017 blood pressure screening Programme in Malaysia

Background: Information regarding the knowledge on the action to be taken during stroke and good recognition of stroke symptoms is mandatory in helping to plan out educational strategies to deliver health education to the community. Methods: This is a cross-sectional study of adults aged 18 and above attending a blood pressure screening program in community in conjunction with May Measurement Month 2017 in Malaysia. A structured self-administered questionnaire was given to the participants who gave verbal consent. Data analysis was done using SPSS v. 23 and multiple logistic regression was used to identify the determinants of knowledge on actions to be taken during stroke and recognition of stroke symptoms. Results: Out of 4096 respondents, 82.9–92.1% of them able to recognise the common stroke symptoms. and 74.2% of the study respondents will go to hospital within 4.5 h of stroke onset. According to binomial logistic regression analyses, adults aged 45 years old and above (OR 1.39 95%CI 1.01–1.92), being Malay (OR 1.74, 95% CI 1.27–2.40), being non-smokers (OR = 2.491, 95% CI: 1.64–3.78), hypertensives (OR: 1.57, 95% CI: 1.02–2.42)and diabetics (OR: 2.54, 95% CI:1.38–4.69) are determinants of right actions to be taken during stroke. Meanwhile, respondents aged 45 years old and older (OR = 1.68, 95% CI: 1.39–2.03), being Malay (OR = 1.49, 95% CI: 1.24–1.79), hypertensive (OR = 1.32, 95% CI: 1.04–1.66) and those who had a previous history of stroke (OR = 2.25, 95% CI: 1.01–5.00) are determinants of good recognition of stroke symptoms. Conclusions: The overall knowledge of stroke in our study population was good. Older age, being Malay, non-smokers, hypertensives and diabetics are determinants of right actions to be taken during stroke. Meanwhile, older age, being Malay, hypertensive and those who had a previous history of stroke are determinants of good recognition of stroke symptoms

Predicting survival of de novo metastatic breast cancer in Asian women: Systematic review and validation study

10.1371/journal.pone.0093755PLoS ONE94-POLN

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting

Nuclear detection, segmentation and morphometric profiling are essential in helping us further understand the relationship between histology and patient outcome. To drive innovation in this area, we setup a community-wide challenge using the largest available dataset of its kind to assess nuclear segmentation and cellular composition. Our challenge, named CoNIC, stimulated the development of reproducible algorithms for cellular recognition with real-time result inspection on public leaderboards. We conducted an extensive post-challenge analysis based on the top-performing models using 1,658 whole-slide images of colon tissue. With around 700 million detected nuclei per model, associated features were used for dysplasia grading and survival analysis, where we demonstrated that the challenge's improvement over the previous state-of-the-art led to significant boosts in downstream performance. Our findings also suggest that eosinophils and neutrophils play an important role in the tumour microevironment. We release challenge models and WSI-level results to foster the development of further methods for biomarker discovery