The design and safety features of the pebble-bed gas cooled reactor by Low, Wei Hong

“…The purpose of this report was to provide a summary of the design and safety features of the Generation IV Pebble-Bed Gas-Cooled Reactors under the Very High-Temperature Reactors family. …”
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Experimental investigation of bedding plane orientation on the rockburst behavior of sandstone by He, M. C., Nie, W., Zhao, Z. Y., Guo, Wei

“…However, when the bedding orientation is parallel to the unloading surface, the rockburst is dependent on the structural stability of the specimen.…”
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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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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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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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Battery plug - in electric car : Vehicle chassis components design and modification by Tow, Edward

“…Electric powered vehicles have been in existence for nearly 100 years. The rise in popularity today for many are perhaps of the same reasons when they were first popular. …”
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Analysis of peer-to-peer car sharing data in major Chinese cities by Hang, Zhi Cheng

“…However, research insights on peer-to-peer car sharing activities have only been largely limited to the European region. …”
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Impact on car platoon simulations: headway distance vs stopping distance by Lim, Jia Le

“…Thus, the goal is to present an anomaly and suggest an improvement to existing car platooning simulation frameworks for future reference.…”
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An improved for the detection of Malaysian licensed car plate number [electronic resource] / by Kadawa Ibrahim Ali, 1984- author 640595, Al-Attas, Syed Abd. Rahman 640596, Fakulti Kejuruteraan Elektrik 540663

Biosignals-based driver’s awareness/emotion monitoring for future car design by Yao, Xibing

“…With the increasing demand for safer and better driving experience, driver assistance systems (DAS) are receiving more and more attention in car industry. By using sensors, there are many biosignals measurements available to recognize driver’s biosignals. …”
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The Effect of cue attributes on the willingness to engage car-sharing service providers by Tan, Colette Jean Yi, Poh, Ting Fang

“…This paper examined the predictive power of various variables, which include intermediary trust, perceived convenience, perceived utility, and summary evaluations, in influencing consumers’ willingness to use a car-sharing service provider. In the study, participants (N=259) were exposed to six mockups that depicted a range of summary evaluations (star ratings) of a sharing service provider before indicating their willingness to engage the depicted service provider. …”
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An Amazon stingless bee foraging activity predicted using recurrent artificial neural networks and attribute selection by Gomes, Pedro A. B., Suhara, Yoshihiko, Nunes-Silva, Patrícia, Costa, Luciano, Arruda, Helder, Venturieri, Giorgio, Imperatriz-Fonseca, Vera Lucia, Pentland, Alex, de Souza, Paulo, Pessin, Gustavo

“…There have been multiple reports in recent years illustrating bee population declines worldwide. …”
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Beyond the hive mind: leveraging the artificial bee colony model for collaborative learning in English language teaching by Ravana, Venosha, Moorthy, Thilip Kumar, Palpanadan, Sarala Thulasi

“…This study conceptualizes the integration of the Artificial Bee Colony (ABC) model with constructivist principles to enhance collaborative learning in English Language Teaching (ELT). …”
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Empirical estimation of metal powder bed fusion technological improvement rate by Alves de Campos, António, Torres Ferreira, Bruna, Gonçalves, Afonso, Leite, Marco, Ribeiro, Inês, L. Magee, Christopher, Henriques, Elsa

“…This study empirically estimates the technological improvement rate (TIR) of metal powder bed fusion (PBF) technology, widely used in aerospace, automotive, and medical industries. …”
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In-line monitoring of powder layer quality in powder bed fusion processes by Le, Tan Phuc

“…The quality and uniformity of the powder layer have a direct impact on the performance of parts produced via powder bed fusion (PBF). Because powder layer properties depend on many powders- and recoating-specific variables, it is difficult to accurately predict powder bed quality across the variety of PBF processes and powders currently available. …”
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Computational framework for the simulation of multi material laser powder bed fusion by Tang, Chao, Yao, Liming, Du, Hejun

“…With the capability to build components with freeform geometries, laser powder bed fusion (L-PBF) is considered as one of the most promising techniques for industrial applications. …”
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Investigation of remelting effects on controlling microstructure morphology in powder bed fusion by Wong, Wendell Shun Yin

“…This research investigates the effects of remelting on 316L stainless steel fabricated using laser powder bed fusion (L-PBF), specifically selective laser melting (SLM). …”
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