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ming » min (Expand Search)
ying » yang (Expand Search)
yong » yang (Expand Search), kong (Expand Search), hong (Expand Search)
line » like (Expand Search), life (Expand Search)
mine » amine (Expand Search), min (Expand Search), fine (Expand Search)
pin » ping (Expand Search), spin (Expand Search)
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3281
Efficient computation of the Nagaoka–Hayashi bound for multiparameter estimation with separable measurements
Published 2021Get full text
Journal Article -
3282
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3283
Impact of interannual and multidecadal trends on methane-climate feedbacks and sensitivity
Published 2023Get full text
Journal Article -
3284
Piezoelectric fibers for flexible and wearable electronics
Published 2023Get full text
Journal Article -
3285
Inferring origin-destination distribution of agent transfer in a complex network using deep gated recurrent units
Published 2023Get full text
Journal Article -
3286
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3287
The model of norm-regulated responsibility for proenvironmental behavior in the context of littering prevention
Published 2024Get full text
Journal Article -
3288
Expanding heme-protein folding space using designed multi-heme β-sheet mini-proteins
Published 2019Get full text
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Journal Article -
3289
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3290
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3291
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3292
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3293
Modification of the contact surfaces for improving the puncture resistance of laminar structures
Published 2018Get full text
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Journal Article -
3294
Non-Abelian adiabatic geometric transformations in a cold strontium gas
Published 2018Get full text
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Journal Article -
3295
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3296
Binding modes of teixobactin to lipid ii : molecular dynamics study
Published 2018Get full text
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Journal Article -
3297
Moral responsibility and blameworthiness for our implicit biases
Published 2022“…Arguments from awareness and control would be used to discuss how they affect implicit biases and their link to moral responsibility and blameworthiness.…”
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Final Year Project (FYP) -
3298
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3299
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3300
A comparative analysis of ENCODE and Cistrome in the context of TF binding signal
Published 2024“…Results: We provide evidence that data points with high signalValue(s) (top 25% of values) are more likely to be consistent between ENCODE and Cistrome in human cell lines K562, GM12878, and HepG2. In addition, we show that filtering according to said high values improves the quality of predictions for a machine learning algorithm that detects transcription factor interactions based only on positional information. …”
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Journal Article