Computation fluid dynamics on drag reduction II by Zang, Bin

“…Lastly, the grid size and RANS models are subjected to further verification to ensure the observations and calculations are indeed trustworthy and relatively accurate by studying skin friction coefficient and comparing to empirical formula; also by simulating more complex dimpled flow with different Reynolds number regimes. …”
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A systematic analysis of the contribution of genetics to multimorbidity and comparisons with primary care data by Murrin, O, Mounier, N, Voller, B, Tata, L, Gallego-Moll, C, Roso-Llorach, A, Carrasco-Ribelles, LA, Fox, C, Allan, LM, Woodward, RM, Liang, X, Valderas, JM, Khalid, S, Dudbridge, F, Lamb, SE, Mancini, M, Farmer, L, Boddy, K, Bowden, J, Melzer, D, Frayling, TM, Masoli, JAH, Pilling, LC, Violán, C, Delgado, J

“…Many across-domain pairs exhibited substantial shared genetics (e.g., iron deficiency anaemia and peripheral arterial disease: genetic correlation 𝑅𝑔 = 0.45 [95% Confidence Intervals 0.27:0.64]). 33 pairs displayed negative genetic correlations, such as skin cancer and rheumatoid arthritis (𝑅𝑔 = −0.14 [−0.21:−0.06]), due to potential adverse drug effects. …”

Association between feel-like temperatures and injury risk during international outdoor athletic championships: a prospective cohort study on 29 579 athlete starts during 10 champi... by Edouard, P, Dandrieux, P-E, Klöwer, MK, Junge, A, Racinais, S, Branco, P, Hollander, K, Navarro, L

“…We performed Poisson regressions with incidence rates (number of injuries per 1000 athlete starts) as outcomes and UTCI as a predictive variable adjusted for sex, for all and time-loss injuries, for different injured tissue types (ie, muscle, tendon, ligament, articular, bone and skin) and specific discipline (ie, sprints, hurdles, jumps, throws, middle distance, long distance, marathon and race walking).…”

Fractional exhaled nitric oxide (FeNO) among school children in Java and Sumatra, Indonesia: associations with respiratory symptoms, house dust mite sensitization and the home envi... by Norbäck, Dan, Hashim, Jamal Hisham, Hashim, Zailina, Jalaludin, Juliana, Ismail, Rohaida, Wieslander, Gunilla, Wispriyono, Bambang, Sary, Lolita, Pratama, Satria, Sari, Meliana, Sisinta, Tiaraima, Putra, Hondli, Perdana, Agung Aji, Muhani, Nova, Lestari, Sri Maria Puji, Wulandari, Ririn, Nurmala, Eliza Eka

“…Methods: Data on health and home were collected by a face-to face interview before measuring FeNO and performing skin prick test against common allergens. Exploratory linear mixed and logistic regression models were employed. …”
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FPGA implementation of spiking convolutional neural networks for voice keyword recognition by Ng, Wei Soon

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Fast prototyping of neural network application by Liu, Yingmin

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Digital based qubit controller system for quantum computing by Khan, Kamran

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Nanowatt power management circuit design AIoT device by Ho, Yeung Ken

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A novel design of power-efficient reconfigurable multiplier targeting at increasing the throughput of the CGRA by Li, Jiaxu

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Microstructure tailoring in hot-pressed silicon carbide by Lee, Yan Xi.

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CanSat, satellite in a soda can by Koh, Jian Cheng

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Alfian Sa'at : negotiating the inauthenticity of Singapore's identity by Yee, Kenneth Shaoyong

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Circuit board design and electric vehicle decoding by Gu, Haiyan

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Nanoporous gold nanostructures : morphological design and their energy conversion applications by Yang, Zhe

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Fabrication of paper-based electrode using NiCo2O4 for solid-state supercapacitor by Ng, Hui Shan

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Raw GNSS measurements from smartphones by Nguyen, Hong Duc

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Wearable technology and fashion as a defence mechanism by Mathews, Rachel Ann

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Crowd monitoring and detection by Li, Xin

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Human activity recognition and analysis based on FPGA microboard three-axis accelerometer by Han, Yating

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Wireless skeletal muscle contraction monitoring device by Kong, Xiangyi

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