Study on supply chain challenges in container shipping : the port operator's perspectice by Muhammad Zulkarnain Mess.

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Study of roughness evolution during reactive ion etching by Santosh Kumar Pani

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Signaling and scheduling at network elements for guaranteed QoS internet by Tang, Peng.

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Double surface plasmon polaritons (SPPs) for sensing purposes by Lee, Kwang Hong

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Properties and characteristics of thermoplastic PBT-LCP blend system and the influence of nanosilica-380 by Ng, Vincent Zhijie.

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3-D analysis of one-strut failure in braced excavation by Tan, Pei Qi.

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Automated generation of semantic descriptions for data services by Wang, Mengran.

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Computational analyses of mechanical performance of carbon nanotube with defects by Chua, Gregory Kok Hong.

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Electro-taichi stimulator by Chan, Yee Hwa

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Tools for analysis of large-scale networks (I) algorithms, analytics and visualization by Zhang, Xinyi

“…This project aimed to continue to work onto the large scaled analyzation tool that is developed by the previous student, Chua Chee Ann. In the previous tool, many basic analytical functions such as data search, topic modelling on the retrieved data and graphic user interface has been implemented successfully. …”
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Topology optimisation for fused deposition modelling process by Ng, Pei Le

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Development of a mobile application for pre-diabetic and diabetic patients (B) by Leong, Li Zhen

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Side channel attack on mobile devices using machine learning by Muhammad Jazeel Meerasah

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Membrane cholesterol modulates oligomeric status and peptide-membrane interaction of severe acute respiratory syndrome coronavirus fusion peptide by Meher, Geetanjali, Bhattacharjya, Surajit, Chakraborty, Hirak

“…The N-terminal fusion peptide (residues 770-788) of an S2 glycoprotein of the severe acute respiratory syndrome coronavirus (SARS-CoV), exposed upon receptor binding, is crucial for virus entry into the host cell. …”
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Strategies to increase response rate and reduce non-response bias in population health research: a series of randomised controlled trials during a large COVID-19 study by Atchison, CJ, Gilby, N, Pantelidou, G, Clemens, S, Pickering, K, Chadeau-Hyam, M, Ashby, D, Barclay, WS, Cooke, G, Darzi, A, Riley, S, Donnelly, C, Ward, H, Elliott, P

“…</p> <br> <p><strong>Methods:</strong> Over 19 rounds, a random sample of individuals aged 5 years and older from the general population in England were invited by mail to complete an online questionnaire and return a swab for SARS-CoV-2 testing. We carried out several nested randomised controlled experiments to measure the impact on response rates of different interventions, including (1) variations in invitation and reminder letters and text messages, and (2) the offer of a conditional monetary incentive to return a swab, reporting absolute changes in response and relative response rate (RRR with 95% Confidence Intervals).…”

Diagnostic performance of GENEDIA W and ActiveXpress+ COVID-19 antigens tests among symptomatic individuals in Peru and The United Kingdom by Palomino-Padilla, S, Finch, L, de Vos, M, Savage, H, Villa-Castillo, L, Hayward, G, Cook, E, LSTM diagnostics group, UTB-IMTAvH group, CONDOR steering group, Escadafal, C, Body, R, Adams, ER, Ugarte-Gil, C, Cubas-Atienzar, AI

“…Analytical evaluation of both Ag-RDTs was assessed using serial dilutions of direct culture supernatant of a clinical SARS-CoV-2 isolate from the B.1.1.7 lineage.</p> <p><strong>Results: </strong>For GENEDIA brand, the values of overall sensitivity and specificity were 60.4% [95% CI 52.4–67.9%], and 99.2% [95% CI 97.6–99.7%] respectively; and for Active Xpress+ the overall values of sensitivity and specificity were 66.2% [95% CI 54.0–76.5%], and 99.6% [95% CI 97.9–99.9%] respectively. …”

GO:eARth : a mobile application that encourages recycling (A) by Chan, Jin Xuan

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Drone localisation with machine learning by Toh, Isaac

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Development of a mobile application for dental diagnosis by Wong, Keith Zi Hao

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Modeling of thermal behavior in phase change interconnects by Eng, Wee Hock

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