Effects of granule particle size and lubricant concentration on tablet hardness containing large concentration of polymers di Chauhan Rajani (4830822)

“...The work involves optimization of a milling process for size reduction of granules and blending process to achieve tablets of good hardness on compression. ...”

Hard Single-Molecule Magnet Behavior by a Linear Trinuclear Lanthanide–[1]Metallocenophane Complex di Trevor P. Latendresse (4102234)

“...A synthetic protocol was developed that involves the transmetalation of a mono-dysprosium–[1]­ferro­cenophane complex with DyX₃ (X = Cl^– or I^–) to afford [Dy₃Fc₆Li₂­(THF)₂]⁻, featuring a rare linear arrangement of magnetically anisotropic Dy³⁺ ions. ...”

The effect of hard tissue surgical changes on soft tissue displacement: a pilot CBCT study di Leonardo Koerich (507650)

“...The average displacement of 15 areas (4 hard tissue and 11 soft tissue) were measured twice. ...”

Data Sheet 1_Reduced apple crop density enhances total polyphenol accumulation via upregulation of anthocyanidin reductase and other phenylpropanoid pathway genes.docx di Shanthanu Krishna Kumar (21507236)

“...<p>Polyphenols contribute to the quality of hard cider fermented from apple (Malus ×domestica) juice by providing flavor, aroma, color, and microbial stability. ...”

Hardness preference in <i>Drosophila</i> larvae, as a relevant cue for varying feeding substrates. di Nikita Komarov (11903342)

“...A’: Experimental paradigm involving a range of decaying fruit for mechanical analysis. ...”

Statistics of EAMs’ position-holding during year 2020. di Zhenhan Huang (12107002)

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Results of statistical test on the RstdDRR of MSPM and ARL. di Zhenhan Huang (12107002)

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Signals and position-holding of TSLA’s EAM. di Zhenhan Huang (12107002)

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5-day RstdDRR of Portfolio(b): MSPM versus ARL. di Zhenhan Huang (12107002)

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Policy network (<i>θ</i>′) of SAM to accommodate PPO algorithm. di Zhenhan Huang (12107002)

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Feature selection of FinSentS data. di Zhenhan Huang (12107002)

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Signals and position-holding of AAPL’s EAM. di Zhenhan Huang (12107002)

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5-day RstdDRR of Portfolio(a): MSPM versus ARL. di Zhenhan Huang (12107002)

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For portfolio(b), histograms of MSPM and ARL’s 5-day RstdDRR depict right-skewed distributions. di Zhenhan Huang (12107002)

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Comparison of back-testing performance of the baselines and MSPM. di Zhenhan Huang (12107002)

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Abstract of SAM’s architecture. di Zhenhan Huang (12107002)

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MSPM(b) outperforms all baselines on Portfolio(b) in terms of the accumulated portfolio value in back-testing. di Zhenhan Huang (12107002)

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Accumulated portfolio values of MSPMs, with and without EAMs, from back-testing for portfolio (a), (b), (c) and (d). di Zhenhan Huang (12107002)

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Signals and position-holding of NVDA’s EAM. di Zhenhan Huang (12107002)

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Underwater plot of ARL for Portfolio(b). di Zhenhan Huang (12107002)

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