7 research outputs found

    Addressing milk kinship in milk banking: experience from Singapore's first donor human milk bank

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    The KK Human Milk Bank (KKHMB), the first and only human milk bank in Singapore, was established in August 2017 to provide safe pasteurised donor human milk (PDHM) to vulnerable preterm and sick infants with insufficient own mother’s milk, as the use of donor human milk (DHM) is potentially lifesaving for these infants. To promote inclusivity and equal access to DHM by all the communities in our multiracial country with a Malay population of 13.5%,[5] the concept of milk kinship in Islam, which could hinder the acceptability of PDHM in Muslim preterm infants, had to be addressed.Temasek Foundation CLG LimitedPublished versionWe thank Temasek Foundation for their generous funding and support for the setup of the Temasek Foundation Cares Donor Human Milk Bank Programme

    Betel essential oil-loaded lipid-core nanocapsules as mosquito repellent spray formulations for fabric finishes

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    In the present study, poly(ε-caprolactrone) nanocapsules were loaded with betel essential oil and used as anti-mosquito spray formulations for cotton and polyester fabrics for the first time. The release and retention of betel essential oil on the fabrics after sequential washing and heating were determined using UV-Visible spectrophotometry. The repellent activity of cotton and polyester fabrics was evaluated using an Excito chamber test on Aedes aegypti mosquitoes. The nanocapsules exhibited high betel essential oil encapsulation efficiency (98.70%) and remained stable throughout 60 days of colloidal system stability study. The encapsulation of betel essential oil in the lipid core of polymer nanocapsules was able to increase the durability towards washing and heating, as the fabrics still exhibited a good repellency of up to 47% against mosquitoes even after 5 sequential washing cycles. Results obtained from this study highlight the feasibility of betel essential oil-loaded lipid-core nanocapsules as alternatives to mosquito repellent spray formulations in the production of insect protective fabrics

    The Implementation of a Smart Sampling Scheme C2O Utilizing Virtual Metrology in Semiconductor Manufacturing

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    Virtual metrology (VM) is an enabling technology capable of performing virtual inspection on the metrology quality of wafers. Instead of physically acquiring the metrology measurements, VM applies conjecture models on the process data of wafers to estimate the measurements of the targeted metrology variables. Prior works on overlay VM system utilized fault detection and classification (FDC) data as the process data for the conjecture models. Hence, when FDC data are unavailable owing to FDC system enhancement works, FDC-based VM models would be rendered inefficacious. During such events, a competent VM system using a different modeling approach is required to sustain the production line until FDC data resumes availability and FDC-based VM reaches production state. Motivated by a real-world production environment of a 200mm semiconductor manufacturing plant (fab), a novel wafer lot-level modeling approach for overlay VM was proposed in our prior work. Using the proposed modeling, a smart sampling scheme was also designed in the same work. The smart sampling scheme consists of two conjecture tasks, with the first task classifies the overlay quality of the wafers, and the second task estimates the overlay errors of the wafers classified with normal overlay quality. The abnormal ones are diverted to the physical metrology station. In this paper, the implementation of a smart sampling system, C2O, using the designed scheme and its experimental results are presented. The experimental results showed that C2O is capable to achieve a true positive rate (TPR) of 71.34% for the classification task and mean absolute scaled error (MASE) of 9.59 for the regression task. The obtained results set the baseline to measure the efficacy of future enhancement works, which have been enlisted and underway to augment the performance of the system so that its competency meets the requirements of real fab
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