The Potential of using Biogas Feeding for Fuel Cells in Malaysia by Mohd Shafie, Shafini, Othman, Zakirah, Hami, Norsiah

“…The penetration of palm oil residue in feeding to the fuel cell system could reduce Malaysia’s CO2 emissions per year. …”
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Enrichment of package antenna approach with dual feeds, guard ring, and fences of vias by Zhang, Yue Ping

“…This paper enriches the package antenna approach to wireless modules by introducing the dual feeds, the guard ring, and fences of vias. …”
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Web-based application development for EEE peer tutoring scheme by Shan, Xinyi

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Multi-element spectrometric analysis of stingless bee honey in Johor for forensic provenancing application / by Aidil Fahmi Shadan, 1979-, author 610823, Wan Aini Ibrahim, 1987- , supervisor 500094, Naji Arafat Mahat, supervisor 569255, Zaiton Ariffin, supervisor 610824, Fakulti Sains 8004

Multi-element spectrometric analysis of stingless bee honey in Johor for forensic provenancing application / by Aidil Fahmi Shadan, 1979- , author 610823

As Long As the Lemon Trees Grow / by Katouh, Zoulfa, 1994-, author 656134, Hachette Books Group (Online service) 647103

Subjects: “…Fear…”
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The paracels : forty years on by Thi, Nguyen Lan Anh

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Social capital, fear of victimisation, prior victimisation : attitudes towards restorative justice in Singapore by Lee, Shu Min

“…This study draws on 289 Singaporean respondents to examine if three factors: social capital, fear of victimisation and prior victimisation, can affect attitudes toward restorative justice. …”
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Fear of mating out (FOMO): voyeurism does not increase mating propensity in fruit flies by Vega-Trejo, R, Sanghvi, K, Todorova, B, Sepil, I, Bath, E

Implementation of peer coaching in a secondary school to enhance teacher development by Yeoh, Joan Pek Neo.

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Developing student feedback literacy through self and peer assessment interventions by Hoo, Hui-Teng, Deneen, Christopher, Boud, David

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Final year project by Feng, Xiang

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Efficient artificial bee colony algorithms for global solution of constrained optimization problems [electronic resource] / by Soudeh Babaeizadeh, 1982-, author 608738, Rohanin Ahmad, supervisor 190297, Fakulti Sains 8004

The influence of the dynamic change of fear: how gender-specific messages affect anti-smoking intentions by Gu, Rui

“…The drive model, one of the earliest attempts to reveal the mechanisms and effects of fear appeals, inspires the idea that fear should rise and fall to successfully predict persuasion. …”
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Vibratory feeding system - M4x10 screw feeder by Yu, Weiwei

“…The project needs to create a vibratory feeding device that is specifically made to orient M4x10 screws upside down in order to reach its target of 80 screws per minute. …”
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Milk and mothercraft : infant feeding trends in Singapore from 1900 to the 1970s by Lum, Jasmine Syn Mun

“…The most prominent discourse in infant feeding has been the conflict between breastfeeding and bottle-feeding. …”
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Comparative analysis between net and gross metering based feed-in tariff / by Samarah Qasim Ali Alasadi, 1988- , author 610866, Md. Fauzi Abdullah, supervisor 646687, Fakulti Kejuruteraan Elektrik 540663

Comparative analysis between net and gross metering based feed-in tariff / by Samarah Qasim Ali Alasadi, 1988- , author 610866

A neural circuit for excessive feeding driven by environmental context in mice by Mohammad, Hasan, Senol, Esra, Graf, Martin, Lee, Chun-Yao, Li, Qin, Liu, Qing, Yeo, Xin Yi, Wang, Menghan, Laskaratos, Achilleas, Xu, Fuqiang, Luo, Sarah Xinwei, Jung, Sangyong, Augustine, George James, Fu, Yu

“…Activation of TNSST neurons enabled a context to drive non-homeostatic feeding in sated mice and required inputs from the subiculum. …”
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Benchmarking feed-forward randomized neural networks for vessel trajectory prediction by Cheng, Ruke, Liang, Maohan, Li, Huanhuan, Yuen, Kum Fai

“…We implement and rigorously compare seven feed-forward neural network models, including random vector functional link neural network without direct links (RVFLwoDL), deep RVFLwoDL (DRVFLwoDL), ensemble deep RVFLwoDL (edRVFLwoDL), random vector functional link neural network (RVFL), deep RVFL (DRVFL), ensemble deep RVFL (edRVFL), and broad learning system (BLS). …”
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