Nurturing Environmental Stewards through Preschool Physical Design

Environmental stewardship starts with education. This paper aims to discuss how preschools can be used to nurture environmental stewards among Malaysian children. In summary, elements of preschool physical environments can be manipulated to enhance environmental education while landscape elements such as vegetation and topography can be manipulated to maximize interaction with nature. Effective interaction with nature is the most important factor to ensure environmental awareness. Findings are useful for Malaysian designers and policy makers to ensure that preschool’s physical settings support environmental education to respond to climate change and preserve the planet for future generations.© 2016. The Authors. Published for AMER ABRA by e-International Publishing House, Ltd., UK. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.Keywords: Malaysian preschool ; Green preschool design ; Children environmental behaviour ; Environmental educatio

Greenhouse Daylight Illuminance for Users’ Satisfaction in Hot and Humid Climate

The greenhouse is vital to protect indoor crops from the harsh hot-humid climate. This study firstly identifies design attributes of greenhouses such as dimension, shapes, orientation, and shading. Secondly, it assesses the impacts of design attributes on the greenhouse daylight performance using VeluxVisualizer. The results showed an increase in the number of skylights caused higher average daylight illuminance in the greenhouse. All the models passed the requirement for plants with small sunlight claim between 7 and 9 hours per day. This study paves the way for energy-efficient buildings with the aid of building simulation to benefit the users. Keywords: Greenhouse Design Features, Daylight Simulation, Hot and Humid Climate eISSN: 2398-4287© 2021. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer-review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians/Africans/Arabians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v6i16.271

Optimising Daylighting Performance in Tropical Courtyard and Atrium Buildings for Occupants’ Wellbeing

Daylighting has attracted increasing attention from researchers as an energy-efficient and sustainable building design technique. This research investigates the daylighting of atrium and courtyard building by comparing the performance of various Window to Wall Ratios (WWR) appropriate to Malaysia's tropical climate. The most acceptable option for daylight performance was to specify a moderate WWR value of 30% with shading devices. The results of The Radiance Daylighting Simulations confirmed the daylight performance by a comparison of calculated data and modelling. The findings show the combinations of daylighting parameters that work for courtyard and atrium buildings for the occupants' wellbeing. Keywords: Daylighting Performance, Courtyard, Atrium, Tropical, Radiance Simulations eISSN: 2398-4287© 2021. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians/Africans/Arabians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v6i16.271

Preschool Design and School Readiness

Preschool physical environments significantly affect children behavior and development. Efforts by the Malaysian Government to improve the quality of preschool education shows a lack of emphasis on the physical learning environment - despite overall improvements, school readiness remains moderate. In Malaysia, the impact of preschool physical learning environments on children’s school readiness is still unclear; thus, this paper aims to investigate, highlight and conclude a clear theoretical relationship between these two aspects through literature review. Findings are hoped to lay the groundworks for future research into this matter to improve preschool education in Malaysia.Keywords: Malaysian preschool education; Physical learning environment; Children school readiness; Children developmenteISSN 2398-4279 © 2018. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia

Grafika design (pembuatan banner, bunting dan backdrop) / Abd. Razak Abd. Rahman...[et al.]

Dalam persediaan menuju ke alaf baru di samping dengan pertumbuhan ekonomi yang produktif, bidang perniagaan telah mengalami perubahan yang drastik yang mana kini semakin ramai golongan Bumiputera yang semakin berani menceburi bidang ini selari dengan inspirasi kerajaan yang inginkan penyertaan Bumiputra terlibat secara langsung di dalam program Industri Kecil dan Sederhana (IKS) yang melibatkan bidang teknologi tinggi. Setelah mengkaji dan membuat penyelidikan kami telah sebulat suara dan bersetuju untuk menubuhkan sebuah syarikat Grafika Design iaitu membuat kain rentang (banner), kain menegak (bunting) dan membuat backdrop. Selain membuat dan memasang backdrop kami juga menyediakan perkhidmatan pemasangan ‘banner’ dan ‘bunting’ secara percuma di dalam kawasan sekitar Bandar Melaka sebagai salah satu strategi perniagaan kami. Kami memilih bidang pemiagaan ini adalah untuk mewujudkan persaingan yang sihat kerana perniagaan seperti ini dimonopoli oleh kaum bukan bumiputera. Kami juga yakin persaingan seperti ini menjadikan pemiagaan ini mempunyai prospek yang luas dan mempunyai potensi cerah untuk dimajukan lebih-lebih lagi hanya segelintir sahaja golongan Bumiputera yang berani menceburi bidang ini. Kami merancang untuk memulakan operasi perniagaan pada Januari 2001. Perniagaan ini dijalankan secara perkongsian yang terdiri daripada lima orang ahli rakan kongsi berdasarkan modal yang telah dipersetujui. Kami telah menetapkan modal keseluruhan sebanyak RM 80 000 dimana RM 30 ribu melalui pinjaman manakala RM 50 ribu lagi melalui perkongsian sama rata di antara rakan kongsi

Quality of life in patients with breast cancer before and after diagnosis: an eighteen months follow-up study

<p>Abstract</p> <p>Background</p> <p>Measuring quality of life in breast cancer patients is of importance in assessing treatment outcomes. This study examined the impact of breast cancer diagnosis and its treatment on quality of life of women with breast cancer.</p> <p>Methods</p> <p>This was a prospective study of quality of life in breast cancer patients. Quality of life was measured using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30) and its breast cancer supplementary measure (QLQ-BR23) at three points in time: baseline (pre diagnosis), three months after initial treatment and one year after completion of treatment (in all 18 months follow-up). At baseline the questionnaires were administered to all suspected identified patients while both patients and the interviewer were blind to the final diagnosis. Socio-demographic and clinical data included: age, education, marital status, disease stage and initial treatment. Repeated measure analysis was performed to compare quality of life differences over the time.</p> <p>Results</p> <p>In all, 167 patients diagnosed with breast cancer. The mean age of breast cancer patients was 47.2 (SD = 13.5) years and the vast majority (82.6%) underwent mastectomy. At eighteen months follow-up data for 99 patients were available for analysis. The results showed there were significant differences in patients' functioning and global quality of life at three points in time (P < 0.001). Although there were deteriorations in patients' scores for body image and sexual functioning, there were significant improvements for breast symptoms, systematic therapy side effects and patients' future perspective (P < 0.05).</p> <p>Conclusion</p> <p>The findings suggest that overall breast cancer patients perceived benefit from their cancer treatment in long-term. However, patients reported problems with global quality of life, pain, arm symptoms and body image even after 18 months following their treatments. In addition, most of the functional scores did not improve.</p

Development and international validation of custom-engineered and code-free deep-learning models for detection of plus disease in retinopathy of prematurity: a retrospective study

BACKGROUND: Retinopathy of prematurity (ROP), a leading cause of childhood blindness, is diagnosed through interval screening by paediatric ophthalmologists. However, improved survival of premature neonates coupled with a scarcity of available experts has raised concerns about the sustainability of this approach. We aimed to develop bespoke and code-free deep learning-based classifiers for plus disease, a hallmark of ROP, in an ethnically diverse population in London, UK, and externally validate them in ethnically, geographically, and socioeconomically diverse populations in four countries and three continents. Code-free deep learning is not reliant on the availability of expertly trained data scientists, thus being of particular potential benefit for low resource health-care settings. METHODS: This retrospective cohort study used retinal images from 1370 neonates admitted to a neonatal unit at Homerton University Hospital NHS Foundation Trust, London, UK, between 2008 and 2018. Images were acquired using a Retcam Version 2 device (Natus Medical, Pleasanton, CA, USA) on all babies who were either born at less than 32 weeks gestational age or had a birthweight of less than 1501 g. Each images was graded by two junior ophthalmologists with disagreements adjudicated by a senior paediatric ophthalmologist. Bespoke and code-free deep learning models (CFDL) were developed for the discrimination of healthy, pre-plus disease, and plus disease. Performance was assessed internally on 200 images with the majority vote of three senior paediatric ophthalmologists as the reference standard. External validation was on 338 retinal images from four separate datasets from the USA, Brazil, and Egypt with images derived from Retcam and the 3nethra neo device (Forus Health, Bengaluru, India). FINDINGS: Of the 7414 retinal images in the original dataset, 6141 images were used in the final development dataset. For the discrimination of healthy versus pre-plus or plus disease, the bespoke model had an area under the curve (AUC) of 0·986 (95% CI 0·973-0·996) and the CFDL model had an AUC of 0·989 (0·979-0·997) on the internal test set. Both models generalised well to external validation test sets acquired using the Retcam for discriminating healthy from pre-plus or plus disease (bespoke range was 0·975-1·000 and CFDL range was 0·969-0·995). The CFDL model was inferior to the bespoke model on discriminating pre-plus disease from healthy or plus disease in the USA dataset (CFDL 0·808 [95% CI 0·671-0·909, bespoke 0·942 [0·892-0·982]], p=0·0070). Performance also reduced when tested on the 3nethra neo imaging device (CFDL 0·865 [0·742-0·965] and bespoke 0·891 [0·783-0·977]). INTERPRETATION: Both bespoke and CFDL models conferred similar performance to senior paediatric ophthalmologists for discriminating healthy retinal images from ones with features of pre-plus or plus disease; however, CFDL models might generalise less well when considering minority classes. Care should be taken when testing on data acquired using alternative imaging devices from that used for the development dataset. Our study justifies further validation of plus disease classifiers in ROP screening and supports a potential role for code-free approaches to help prevent blindness in vulnerable neonates

Pre-Existing Isoniazid Resistance, but Not the Genotype of Mycobacterium Tuberculosis Drives Rifampicin Resistance Codon Preference in Vitro

Both the probability of a mutation occurring and the ability of the mutant to persist will influence the distribution of mutants that arise in a population. We studied the interaction of these factors for the in vitro selection of rifampicin (RIF)-resistant mutants of Mycobacterium tuberculosis. We characterised two series of spontaneous RIF-resistant in vitro mutants from isoniazid (INH)-sensitive and -resistant laboratory strains and clinical isolates, representing various M. tuberculosis genotypes. The first series were selected from multiple parallel 1 ml cultures and the second from single 10 ml cultures. RIF-resistant mutants were screened by Multiplex Ligation-dependent Probe Amplification (MLPA) or by sequencing the rpoB gene. For all strains the mutation rate for RIF resistance was determined with a fluctuation assay. The most striking observation was a shift towards rpoB-S531L (TCG→TTG) mutations in a panel of laboratory-generated INH-resistant mutants selected from the 10-ml cultures (p<0.001). All tested strains showed similar mutation rates (1.33×10−8 to 2.49×10−7) except one of the laboratory-generated INH mutants with a mutation rate measured at 5.71×10−7, more than 10 times higher than that of the INH susceptible parental strain (5.46–7.44×10−8). No significant, systematic difference in the spectrum of rpoB-mutations between strains of different genotypes was observed. The dramatic shift towards rpoB-S531L in our INH-resistant laboratory mutants suggests that the relative fitness of resistant mutants can dramatically impact the distribution of (subsequent) mutations that accumulate in a M. tuberculosis population, at least in vitro. We conclude that, against specific genetic backgrounds, certain resistance mutations are particularly likely to spread. Molecular screening for these (combinations of) mutations in clinical isolates could rapidly identify these particular pathogenic strains. We therefore recommend that isolates are screened for the distribution of resistance mutations, especially in regions that are highly endemic for (multi)drug resistant tuberculosis

Pitfalls of predicting complex traits from SNPs

The success of genome-wide association studies (GWASs) has led to increasing interest in making predictions of complex trait phenotypes, including disease, from genotype data. Rigorous assessment of the value of predictors is crucial before implementation. Here we discuss some of the limitations and pitfalls of prediction analysis and show how naive implementations can lead to severe bias and misinterpretation of results