Biomolecular topology: modelling and analysis by Liu, Jian, Xia, Ke-Lin, Wu, Jie, Yau, Stephen Shing-Toung, Wei, Guo-Wei

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Study on ultra-precision compliant mechanisms for nanotechnology applications by Du, Hejun, Lim, Mong King, Ling, Shih Fu, Lau, Michael Wai Shing, Tai, Kang

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Patterned surface with controllable wettability for inkjet printing of flexible printed electronics by Nguyen, Phuong Q. M, Yeo, Lip-Pin, Lok, Boon-Keng, Lam, Yee-Cheong

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Metasurface-tunable lasing polarizations in a microcavity by Yuan, Zhiyi, Huang, Shih-Hsiu, Qiao, Zhen, Wu, Pin Chieh, Chen, Yu-Cheng

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Lancing drug reservoirs into subcutaneous fat to combat obesity and associated metabolic diseases by Than, Aung, Duong, Phan Khanh, Zan, Ping, Liu, Junjie, Leow, Melvin Khee-Shing, Chen, Peng

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The turntable tribe: a communications campaign to raise awareness about the effects of excessive fast furniture consumption and encourage environmentally sustainable shopping habit... by Tan, Gerald Zheng Jie, Low, Naomi Min Yee, Wee, Nicolette Shing Ying, Tan, Yuan En

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Potential utilisation of solar-assisted kiln dryer in bamboo drying by Zafhian, Zahidah, Muhammad Roseley, Adlin Sabrina, Shing, Sik Huei, Beng, Ong Chee, Rabidin, Zairul Amin

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Health and disease phenotyping in old age using a cluster network analysis by Valenzuela, Jesus Felix, Monterola, Christopher, Tong, Victor Joo Chuan, Ng, Tze Pin, Larbi, Anis

“…Hierarchical ordering of these clusters identified six common themes based on interactions with physiological systems and common underlying substrates of age-associated morbidity and disease chronicity, functional disability, and quality of life. These findings provide a starting point for indepth analyses of ageing that incorporate immunologic, metabolomic and proteomic biomarkers, and ultimately offer low-level-based typologies of healthy and unhealthy ageing.…”
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Engineering pressure retarded osmosis membrane bioreactor (PRO-MBR) for simultaneous water and energy recovery from municipal wastewater by Liu, Shuyue, Song, Weilong, Meng, Manli, Xie, Ming, She, Qianhong, Zhao, Pin, Wang, Xinhua

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Optical coherence tomography angiography imaging to monitor anti-VEGF treatment of corneal vascularization in a rabbit model by Devarajan, Kavya, Ong, Hon Shing, Lwin, Nyein C., Chua, Jacqueline, Schmetterer, Leopold, Mehta, Jodhbir Singh, Ang, Marcus

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Dry powder microneedle-enabled transdermal anti-inflammatory therapy for obesity, diabetes, hyperlipidemia, and fatty liver by Zan, Ping, Than, Aung, Leow, Melvin Khee-Shing, Cai, Helen Xinyi, Wen, Hanqi, Zhang, Zheye, Chen, Peng

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Nanotechnology in food production: a comprehensive bibliometric analysis using R-package by Rajendran, Salini Devi, Wahab, Siti Norida, Yeap, Swee Pin, Kamarulzaman, Nitty Hirawaty, Abdul Halim Lim, Sarina

“…According to our findings, the number of publications on nanotechnology in food production has increased dramatically since 2003. …”
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Additive-free electrophoretic deposition of graphene quantum dots thin films by Nguyen, Tam D., Geuli, Ori, Yeo, Loo Pin, Magdassi, Shlomo, Mandler, Daniel, Tok, Alfred Iing Yoong

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Current trends and future perspective of mesenchymal stem cells and exosomes in corneal diseases by Mansoor, Hassan, Ong, Hon Shing, Riau, Andri K., Stanzel, Tisha P., Mehta, Jodhbir Singh, Yam, Gary Hin-Fai

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Visual odometry using RGB-D camera on ceiling vision by Wang, Han, Mou, Wei, Suratno, Hendra, Seet Gim Lee, Gerald, Li, Maohai, Lau, Michael Wai Shing, Wang, Danwei

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More with less by Lim, Amanda Jane Yi Kuan, Lim,Aronn Chong Leong, Peh, Gina Ying Ying, Puah, Kevyn Pin Xuan

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Membrane distillation hybridized with a thermoelectric heat pump for energy-efficient water treatment and space cooling by Tan, Yong Zen, Han, Le, Chew, Nick Guan Pin, Chow, Wai Hoong, Wang, Rong, Chew, Jia Wei

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MAS.630 Affective Computing, Spring 2002 by Picard, Rosalind W.

Subjects: “…Neuroscience findings…”
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Electrophoretic deposition of reduced graphene oxide thin films for reduction of cross-sectional heat diffusion in glass windows by Yeo, Loo Pin, Nguyen, Tam Duy, Ling, Han, Lee, Ying, Mandler, Daniel, Magdassi, Shlomo, Tok, Alfred Iing Yoong

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Predicting cognitive scores from wearable-based digital physiological features using machine learning: data from a clinical trial in mild cognitive impairment by Rykov, Yuri G., Patterson, Michael D., Gangwar, Bikram A., Jabar, Syaheed B., Leonardo, Jacklyn, Ng, Kok Pin, Kandiah, Nagaendran

“…The model predicted the actual executive function scores with correlation r = 0.69 and intra-individual changes in executive function scores with r = 0.61. Conclusions: Our findings demonstrated that wearable-based physiological measures, primarily HRV, have potential to be used for the continuous assessments of cognitive function in individuals with MCI.…”
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