Effects of music attrition on English-Mandarin Chinese bilinguals’ lexical tone perception and production in a foreign language by Toh, Xin Ru

“…However, few studies have studied the effects in the long-term and among tone language speakers. Hence, this study sought to understand the effects of music attrition on foreign tone language lexical tone perception and production among speakers with varying extents of tone language experience. 23 English-Mandarin Chinese bilinguals who were either ex-musicians or non-musicians completed a Cantonese lexical tone ABX discrimination task, a Cantonese lexical tone imitation task, as well as melodic and rhythmic AX discrimination tasks. …”
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Technical aspects of marine plastic litter treatment by pyrolysis, for material and energy recovery by Wu, Xinyi

“…Marine plastic pollution is a serious problem the world is currently facing. Due to the long exposure to the marine environment and contamination from salts and microorganisms, the properties of marine plastic litter would potentially differ from conventional plastic waste. …”
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EEG-based mental workload recognition using deep learning techniques by Zeng, Chenxuan

“…But in most cases, it is hard to measure the MWL accurately. EEG signal has a long history in medical diagnose. During the brain activities, electric potential generated by large number of neurons synchronizes together and forms EEG. …”
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Enhanced immersion two-phase liquid cooling thermal management for data centres by Loh, Aloysius Chuan Liang

“…By utilising simple concepts of evaporation and condensation, the cooling method can reduce the amount of coolant used over a long period of time. This unique way of cooling requires a tank in a sealed condition. …”
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Deep learning assisted optical wavefront shaping in disordered medium by Luo, Yunqi, Li, Huanhao, Zhang, Ruochong, Lai, Puxiang, Zheng, Yuanjin

“…However, usually, with traditional methods, WFS is time consuming and not cost efficient since it requires long time to obtain the information of the scattering medium. …”
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Two-dimensional multimode terahertz random lasing with metal pillars by Zeng, Yongquan, Liang, Guozhen, Qiang, Bo, Wu, Kedi, Tao, Jing, Hu, Xiaonan, Li, Lianhe, Davies, Alexander Giles, Linfield, Edmund Harold, Liang, Hou Kun, Zhang, Ying, Chong, Yidong, Wang, Qi Jie

“…However, it remains a challenge to achieve a broadband multimode random laser with high scattering efficiency, particularly at long wavelengths. Here, we develop a new class of strongly multimode random lasers in the terahertz (THz) frequency range in which optical feedback is provided by multiple scattering from metal pillars embedded in a quantum cascade (QC) gain medium. …”
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A discrete event formulation for multi-robot collision avoidance on pre-planned trajectories by Deplano, Diego, Franceschelli, Mauro, Ware, Simon, Rong, Su, Giua, Alessandro

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Controlling directed networks with evolving topologies by Li, Guoqi, Ding, Jie, Wen, Changyun, Wang, Lei, Guo, Fanghong

“…Our finding enables us to model and explain how real-world complex networks adaptively self-organize themselves to many similar subnetworks during a relatively long evolution process.…”
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Seepage effects on settling velocity by Goh, Alvin Hanchang.

“…The experiments are conducted in a vertical water column that is 0.4m long, 0.4m wide and 1.12m deep. Uniform plastic spherical particles of varying diameters (0.630cm, 0.790cm, 0.950cm and 1.285cm) and densities under different seepage inflow rates (0 m3/s, 1X10-4 m3/s, 2X10-4 m3/s and 5X10-4 m3/s) are used. …”
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Annual dilated convolution neural network for newbuilding ship prices forecasting by Gao, Ruobin, Liu, Jiahui, Bai, Xiwen, Yuen, Kum Fai

“…This paper presents a light neural network with annual dilated convolution filters while extracting the newbuilding market’s short-term and long-term temporal knowledge. The multivariate shipping data are fed into multiple convolutional filters with nonlinear activations. …”
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Modeling and improvement of tracked based vehicle by Yeo, Nick Xi Liang.

“…Modeling of mechanical systems has come a long way in recent years. They have been shown to be able to effectively aid engineers and design engineers to model, simulate and analyze many engineering functions. …”
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Electricity load forecasting for smart home by Lin, James Rizhong

“…The aim of this project was to perform a long-term forecast of electricity load at the household level by using Prophet, a forecasting framework by Meta (previously Facebook). …”
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Gender-based multi-aspect sentiment detection using multilabel learning by Kumar, J. Ashok, Trueman, Tina Esther, Cambria, Erik

“…Results show that traditional multilabel transformation methods achieve better performance for small amounts of data and long-range sequence in terms of samples and labels, and that deep learning models achieve better performance in terms of mean test accuracy, AUC Score, RL, and average precision using GloVe word embedding features in both datasets.…”
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Data-driven fault detection and isolation in DC microgrids without prior fault data: a transfer learning approach by Wang, Ting, Zhang, Chunyan, Hao, Zhiguo, Monti, Antonello, Ponci, Ferdinanda

“…With the transferred knowledge, a deep learning model combining convolutional neural network and attention-based bidirectional long short-term memory is trained, which is strengthened by attention and soft-voting ensemble mechanisms. …”
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Feasibility assessment of a container ship applying ammonia cracker-integrated solid oxide fuel cell technology by Wu, Shengwei, Miao, Bin, Chan, Siew Hwa

“…Ammonia, one of the most promising alternative marine fuels has long been considered to reduce carbon emissions. …”
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Polydopamine@carbon nanotube reinforced and calcium sulphoaluminate coated hydrogels encapsulating bacterial spores for self-healing cementitious composites by Feng, Jianhang, Rohaizat, Radhiah Elyssa Binte, Qian, Shunzhi

“…With the reinforcement of CNTs and the coating of CSA cement, the hydrogels were conducive to germination, growth and activities of bacteria even after the hydrogels endured long-term exposure to strongly alkaline and calcium concentrated solution. …”
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Deep learning for scene flow estimation on point clouds: a survey and prospective trends by Li, Zhiqi, Xiang, Nan, Chen, Honghua, Zhang, Jianjun, Yang, Xiaosong

“…Aiming at obtaining structural information and 3D motion of dynamic scenes, scene flow estimation has been an interest of research in computer vision and computer graphics for a long time. It is also a fundamental task for various applications such as autonomous driving. …”
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Kinematic analysis of an upper extremity stroke rehabilitation orthosis by Yang, Fang

“…This study is part of a long term project, which aims to build a reliable and cost-efficient upper arm orthosis for stroke patient rehabilitation purpose. …”
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Intensified distortion: investment decisions with endogenous contracts and time inconsistency by Li, Yanzhao, Guo, Ju-e, Li, Yongwu, Zhang, Jinggong

“…Yet evidences from behavioral economics and neuroeconomics suggest that decision makers are impatient with short-term choices, but patient with long-term choices. Using quasi-hyperbolic discounting and real options agency framework, we investigate the effect of this time-vary impatience, i.e., time-inconsistent preference, on compensation contracts and investment triggers. …”
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Exciton lasing in carbon nanotubes below the population-inversion threshold via phonon-mediated stimulated emission by Dal Forno, Stefano, Battiato, Marco

“…These transitions have been overlooked for long due to their low intensity as a consequence of the low occupancy of the associated phonon branches. …”
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