Example of a typical workflow to construct a network using NeKo. by Marco Ruscone (11747264)

Alpha networks. by Ying Joey Zhou (22479044)

Optimization results of MBB multi-material structure under different methods. (a) A level-set method for multi-material topology optimization [33]. (b) An alternating active-phase... by Zhao Li (300229)

Graphical representation of the diffuse interface approach in one dimension. by Martina Bukač (20161460)

Association between the multiscale structural principal gradient and MSN gradient. by Yirong He (11277990)

Association between the multiscale structural principal gradient and morphometric features. by Yirong He (11277990)

Multiscale structural gradients during childhood and adolescence. by Yirong He (11277990)

Effect of segmentation mask resolution on CUDA memory usage and performance metrics. (A) Memory usage as a function of queries when Cell-TRACTR produces a segmentation mask with th... by Owen M. O’Connor (11965460)

Scatter plots of PATH⁺ and our implementation of TNet-BP’s predictions on a held-out, test subset of PDBBind v2020 refined set for one run (90:10 train:test split ratio,... by Yuxi Long (11024307)

Comparative analysis of WordNet replacement impact on data distribution. by Enock Niyonkuru (21246879)

Both Ankle fNIRS MI dataset by Hammad Gilani (8060012)

“…<br></li></ul><p dir="ltr">This dataset can be used to explore neural signatures of lower limb motor imagery, develop brain-computer interface (BCI) algorithms, and investigate cortical hemodynamics associated with motor planning and control.…”

Right Ankle fNIRS MI Dataset by Hammad Gilani (8060012)

“…<br></li></ul><p dir="ltr">This dataset can be used to explore neural signatures of lower limb motor imagery, develop brain-computer interface (BCI) algorithms, and investigate cortical hemodynamics associated with motor planning and control.…”

Graphs of the regularization terms. by Tomokaze Shiratori (9635271)

“…Our method is particularly advantageous for selecting true edges when cross-validation is used to determine the number of edges. Moreover, our DC algorithm converges within a practical time frame compared to the graphical lasso.…”

Computational Pipeline for Accelerating the Design of Glycomimetics by Yao Xiao (227567)

Subjects:

Motifs identified within the IDRs of the C-terminal regions of MADS-domain proteins. by Erandi Ramírez-Aguirre (22110116)

“…Type I MADS-domain proteins do not contain molecular recognition features (MoRFs; purple rectangles) near or within the identified motifs. In contrast, in Type II MADS-domain proteins, MoRFs (purple rectangles) overlap with the predicted motifs, supporting their potential functional relevance. …”

Right Knee fNIRS MI Dataset by Hammad Gilani (8060012)

“…<br></li></ul><p dir="ltr">This dataset can be used to explore neural signatures of lower limb motor imagery, develop brain-computer interface (BCI) algorithms, and investigate cortical hemodynamics associated with motor planning and control.…”

Left Knee fNIRS MI Dataset by Hammad Gilani (8060012)

“…<br></li></ul><p dir="ltr">This dataset can be used to explore neural signatures of lower limb motor imagery, develop brain-computer interface (BCI) algorithms, and investigate cortical hemodynamics associated with motor planning and control.…”

Left Ankle fNIRS MI Dataset by Hammad Gilani (8060012)

“…<br></li></ul><p dir="ltr">This dataset can be used to explore neural signatures of lower limb motor imagery, develop brain-computer interface (BCI) algorithms, and investigate cortical hemodynamics associated with motor planning and control.…”

Both Knees fNIRS MI dataset by Hammad Gilani (8060012)

“…<br></li></ul><p dir="ltr">This dataset can be used to explore neural signatures of lower limb motor imagery, develop brain-computer interface (BCI) algorithms, and investigate cortical hemodynamics associated with motor planning and control.…”

Bangdiwala’s agreement charts for item 18 (A), 19 (B) and 22 (C) comparing item scores between the Paper-based support and the Tablet. by Dominique Vincent-Genod (20552594)