Table_5_Seasonal dynamics of major phytoplankton functional types in the coastal waters of the west coast of Canada derived from OLCI Sentinel 3A.docx by Perumthuruthil Suseelan Vishnu (14145666)

“…The satellite-based approach was adapted from a previously proven Empirical Orthogonal Function (EOF)-based algorithm by using a local matchup dataset comprising CHEMTAX model output and EOF scores derived from OLCI remote sensing reflectance. …”

Functional prediction of SOD1 protein variants. by Gabriel Rodrigues Coutinho Pereira (6612542)

“…(A) Functional prediction from the variant A2V to L39V. …”

Application of Cell2Spatial to 10× Genomics Xenium mouse brain data. by Huamei Li (8815955)

Evaluation of spatial transcriptomics (ST) tools across various metrics and conditions. by Huamei Li (8815955)

Interval type-2 membership function for speed. by Seung-Min Ryu (21463891)

“…<div><p>In this study, we present an algorithm to estimate the distance between a vehicle and a target object using light from headlights captured by a camera. …”

Interval type-2 membership function for distance. by Seung-Min Ryu (21463891)

“…<div><p>In this study, we present an algorithm to estimate the distance between a vehicle and a target object using light from headlights captured by a camera. …”

A flow diagram to explain the algorithm named 2BDP (Biomarker Discovery Process at Binomial Decision Point) that we used to find the best fitting model to predict RRiF. by Nabarun Chakraborty (535772)

Illustration of the function of movement definition in NeuroMotion. by Shihan Ma (9362796)

Volcano plot for gene expression levels of cells in cluster 1 (putative thorny cells) vs. cells in cluster 2 (putative a-thorny cells). by Daniele Linaro (227790)

Preservation analysis of co-expressed modules of control networks were tested in the stress condition based on the median rank (A) and Zsummary (B) algorithms. by Bahman Panahi (7323578)

Optimized current amplitudes for peak SLL minimization. by WanRu Zhao (18980374)

Subjects:

Optimized current amplitudes for peak SLL minimization. by WanRu Zhao (18980374)

Subjects:

A summary of the five scenarios. by Yi-Wen Hsiao (13767916)

DBFOLD predictions are robust to choice of <i>f</i> value within a reasonable range. by Amir Bitran (3812257)

“…If our threshold for declaring a substructure folded is too strict (<i>f</i> ∼ ≤1.5), then the algorithm tends to overpredict unfolding events, whereas too lenient a threshold (<i>f</i> ∼ ≥2) causes the algorithm to underpredict such events. …”

Functional enrichment analysis of DEGs. by Huiling Deng (4427161)

Relative residuals vs. time for Patient’s 1 data, assuming a non-constant variance. by Patricio Cumsille (6755882)

Absolute residuals vs. time for Patient’s 2 data under a constant variance assumption. by Patricio Cumsille (6755882)

Estimated model parameters for Patient’s 1 data under a non-constant variance assumption. by Patricio Cumsille (6755882)

Estimated model parameters for Patient’s 2 data under a non-constant variance assumption. by Patricio Cumsille (6755882)

Absolute residuals vs. observations for Patient’s 2 data under a constant variance assumption. by Patricio Cumsille (6755882)