Short film: tomorrow by Chin, Yong Leong

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When the kids come out to play by Loy, Joanne Mei Yee

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Cubed by Xue, En Ge

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Tomorrow by Liu, Tong

“…The Chinese girl (Grace) who has to follow her mother’s will to be a Christian falls in love with a Malay boy (Zul). Her mother finds out about their relationship, and is strongly against them being together.…”
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Component-based security under partial compromise by Dehnel-Wild, M

“…Is there value in making the modelling and analysis as fine-grained as we can, or does the extra effort fail to buy us anything? …”

Carlibration parameters of social force model (SFM) for customized personal mobility devices (PMD) by Yuan, Liqiang

“…After getting the parameters of SFM for different PMDs, simulation can be done to find out the correlation between PMD speed and lateral distance for PMD rider when encountering a pedestrian. …”
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Profiling customers against characteristics of corporate responses to complaints. by Lim, Shing Yee., Tay, Julynn Chu Ling., Wu, Dominique Jiali.

“…This research attempts to draw a link between these two areas of study and find relationships between a number of variables and some aspects of corporate responses. …”
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Electrospun fibrous aerogels for air filtration by Tng, Zi Kang

“…A compression test of 100th cycles of the NFA filter showed that the filters retained their mechanical integrity as seen from the cyclic stress-strain curves. These findings show that the PI-PAN/ZIF-8 NFA filters can potentially be used in the filtration of fine particles at high temperature environment, such as car exhaust and coal furnace exhaust where the temperatures can range up to 300 ºC.…”
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Quantifying the permeability reduction of biogrouted rock fracture by Wu, Chuangzhou, Chu, Jian, Wu, Shifan, Guo, Wei

“…However, the viscosity of cement grout is high and the particle sizes may not be fine enough to penetrate through fine rock joints. …”
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Optimization and scheduling of applications in a heterogeneous CPU-GPU environment by Karan Rajendra Shetti

“…Using state of the art StarPU scheduling framework and exhaustive benchmarks, it is shown that the fine grained approach in much more efficient for the CPU-GPU environment. …”
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Modeling polarity-driven laminar patterns in bilayer tissues with mixed signaling mechanisms by Moore, JW, Dale, TC, Woolley, TE

“…Motivated by cellular mechanisms that control cell-fate decisions in developing bilayer tissues, we use dynamical systems coupled with multilayer graphs to analyze the role of signaling polarity and pathway crosstalk in fine-grain pattern formation of protein activity. …”

Animatezoo: zero-shot video generation of cross-species animation via subject alignment by Xu, Y, Chen, Y, Huang, Z, He, Z, Wang, G, Torr, PHS, Lin, L

“…These components are specifically designed to capture essential appearance information, including identity and fine details. Second, we align shape features and addressconflicts from differing subjects by introducing a scale-information remover. …”

Producing Launderama by Ismiraudhatul Huda Suleiman

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Art directing : “Never left” by Adia Tay by Loh, Esther Jun Hui

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Chasing the city that cannot stop: Exploring transportation and urban co-development in São Paulo’s history by Borges Costa, Adriano, Zegras, P Christopher, Biderman, Ciro

“…Over the entire 130 years, we find that urban expansion and road development pushed and pulled each other, in a somewhat “orderly” way. …”
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Squaring a Circle: To What Extent Are Traditional Circuit Analogies Impeding Synthetic Biology? by Ilia, Katherine, Del Vecchio, Domitilla

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Hybrid modeling in the predictive analytics of energy systems and prices by Gulay, Emrah, Duru, Okan

“…In this regard, the proposed algorithm hybridizes or combines linear components captured by the Autoregressive Distributed Lag Model (ARDL) and nonlinear components processed by the Empirical Mode Decomposition (EMD) and an Artificial Neural Network (ANN) to improve post-sample accuracy. The conventional reiterative process can improve in-sample accuracy, which literally has no value for business forecasting practices. …”
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Evaluation of three potential machine learning algorithms for predicting the velocity and turbulence intensity of a wind turbine wake by Purohit, Shantanu, Ng, Eddie Yin Kwee, Ijaz Fazil Syed Ahmed Kabir

“…In this paper, three machine learning (ML) algorithms, Support Vector Regression (SVR), Artificial Neural Networks (ANN), and Extreme Gradient Boosting (XGBoost), are validated to estimate the velocity and turbulence intensity of a wind turbine's wake at distinct downstream distances. …”
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Breast cancer susceptibility : accessing newly discovered SNPs by Loh, Eunice Ting Wei

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Are privately owned shipping companies more succesful than public listed ones? by Zhang, Allen Tongren

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