Summary of mean FB ratio distribution across racial groups. by Zoë Dinkel (21402766)

Long-lived acceptor dark states can produce bimodal FRET efficiency distributions, multi-exponential donor excited-state decays, and a decrease in measured average FRET efficiency... by Steven S. Vogel (299330)

Inhibition of the V-ATPase by SidK. by Jianhua Zhao (531939)

IDD388 Polyhalogenated Derivatives as Probes for an Improved Structure-Based Selectivity of AKR1B10 Inhibitors by Alexandra Cousido-Siah (777034)

“…Next, by means of IC₅₀ measurements, X-ray crystallography, WaterMap analysis, and advanced binding free energy calculations with a quantum-mechanical (QM) approach, we have studied their structure–activity relationship (SAR) against both enzymes. …”

Optimized parameters for mesopic and photopic condition used in the study. by C. Vijay Reena Durai (14498259)

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Bland-Altman type plots of intersession difference. by C. Vijay Reena Durai (14498259)

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Two Microsoft excel spreadsheets containing the raw data of the study have been added as supporting information. by C. Vijay Reena Durai (14498259)

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Fig 7 - by C. Vijay Reena Durai (14498259)

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Fig 1 - by C. Vijay Reena Durai (14498259)

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Fig 5 - by Varun Tiwari (9258130)

Changes in CCA, Cell Area, Adhesion, FAs and ß1-integrin for control cells and cells exposed to various inhibitors for 60 min (↓ = decrease, NC = no change from the control, D = di... by Daniel J. Modulevsky (307313)

Self-organising map-based dynamic decision-making algorithm for heterogeneous wireless sensor network by Umesh M. Kulkarni (10098026)

Prognosis accuracy of the HRR1 admission value (cut-off point = 17 beats) for predicting clinical worsening in PAH. by Camila Farnese Rezende (12666902)

Paeameter ranges and optimal values. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Improved random forest algorithm. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Datasets used in the study area. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Evaluation of the improved random forest model. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Comparison of model metrics. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Flowchart of population spatialization. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Presentation_1_Do We Overestimate the Within-Variability? The Impact of Measurement Error on Intraclass Coefficient Estimation.pdf by Rafael Wilms (8858795)