Construction of non-invasive diagnostic model and nomogram of AR. by Xihao Shen (20347942)

Data Sheet 1_Machine learning models predict coagulopathy in traumatic brain injury patients in ER.csv by Haoyu Wang (429641)

“…<p>Traumatic brain injury (TBI) is a critical emergency condition, with 15–35% of patients developing coagulopathy, increasing risks of secondary brain injury and mortality. …”

Automated Analysis of Astrocyte Cell Connectivity After Laser Ablation Using Machine Learning and Path-Finding Algorithms by Connor Lee (22327243)

“…This framework provides scalable, reproducible insights into astrocyte behavior, advancing understanding of glial cell function in brain injury and repair.</p>…”

Table 1_Identifying pyroptosis-hub genes and immune infiltration in neonatal hypoxic-ischemic brain injury.docx by Chi Qin (10001651)

“…Immune infiltration analysis revealed that, compared to the control group, the HIBD group exhibited higher levels of innate immune cells (e.g., macrophages, M0 cells, and dendritic cells) and adaptive immune cells (e.g., CD8 naïve T cells, CD4 follicular helper T cells, and Th1 cells). The ssGSEA algorithm results indicated differences in 25 types of immune cells and 10 immune functions. …”

An exemplar procedure for activity flow modeling based on the direct and shortest paths at a network density of 15%. by Zhengdong Wang (35299)

Decoding motor patterns as a function of word length. by Viet Chau Linh Nguyen (21601707)

“…(C) Average number of fixations in good (blue dots) and poor decoders (red dots) as a function of word length (expressed in number of characters) in both training sessions. …”

Learning alters pirouette decision and behavioral noise. by Kevin S. Chen (9201767)

Model-based decoding of learning. by Kevin S. Chen (9201767)

Data Sheet 1_Advances in HD-EMG interfaces and spatial algorithms for upper limb prosthetic control.pdf by Debora Quadrelli (22179796)

“…This mini-review explores advancements in HD-EMG acquisition systems, including both interface designs and recording technologies, as well as ML algorithms leveraging spatial information. …”

dPAW captures learned olfactory navigation in worms. by Kevin S. Chen (9201767)

A hypothetical example illustrating the differences between the two assessment modes in G4SNVHunter. by Rongxin Zhang (1618159)

Overview of archaic SNPs (aSNPs) potentially affecting G4 formation, identified by G4SNVHunter. by Rongxin Zhang (1618159)

Reactive Molecular Simulation and Microscopic Origins in the Reaction Kinetics of Binary Polymerization by Xinwei Chen (255125)

“…A microscopic expression of the hybrid function is derived based on the general collision reaction model and reactive algorithm in molecular dynamics (MD) simulation, in which both the reaction energy barrier and intermolecular interaction play pivotal roles. …”

Supplementary file 1_Identifying pyroptosis-hub genes and immune infiltration in neonatal hypoxic-ischemic brain injury.docx by Chi Qin (10001651)

“…Immune infiltration analysis revealed that, compared to the control group, the HIBD group exhibited higher levels of innate immune cells (e.g., macrophages, M0 cells, and dendritic cells) and adaptive immune cells (e.g., CD8 naïve T cells, CD4 follicular helper T cells, and Th1 cells). The ssGSEA algorithm results indicated differences in 25 types of immune cells and 10 immune functions. …”

Overnight technician routing and scheduling problem with time windows and balanced workloads: a bi-objective zebra optimization algorithm by Abolfazl Gharaei (21803416)

“…</p> <p><b>Highlights</b></p><p>An ML-based bi-objective zebra optimisation algorithm to treat large-scale TRSPs</p><p>Centroid-based clustering on the population of zebras to avoid bias towards a specific search space</p><p>Making a trade-off between exploration and exploitation of the feasible region in the developed algorithm</p><p>A new MINLP model of a weighted bi-objective TRSP with limited capacity depots</p><p>Workload function, penalty function for lateness, subcontracts, time windows for tasks and breaks</p><p>Experiments using real data to show the performance of the model and solution method</p><p></p> <p>An ML-based bi-objective zebra optimisation algorithm to treat large-scale TRSPs</p> <p>Centroid-based clustering on the population of zebras to avoid bias towards a specific search space</p> <p>Making a trade-off between exploration and exploitation of the feasible region in the developed algorithm</p> <p>A new MINLP model of a weighted bi-objective TRSP with limited capacity depots</p> <p>Workload function, penalty function for lateness, subcontracts, time windows for tasks and breaks</p> <p>Experiments using real data to show the performance of the model and solution method</p>…”

Optimal Subsampling for Functional Quasi-Mode Regression with Big Data by Tao Wang (12008)

“…<p>We propose investigating optimal subsampling for functional regression with massive datasets based on the mode value, which is referred to as functional quasi-mode regression, to reduce data volume and alleviate computational burden. …”

Data information and schematic diagram of the overlapping modular architecture based on the edge-centric module detection. by Tianyuan Lei (19683861)

“…<b>(B)</b> (i) Traditional brain functional connectivity network. In this network, each node denotes a brain region of interest, and each link denotes the interregional functional connectivity. …”

Table 1_Comprehensive analysis of anoikis-related gene signature in ulcerative colitis using machine learning algorithms.xlsx by Peng Liu (120506)

“…These genes were strongly associated with the infiltration of both innate and adaptive immune cells, as well as immune pathways. …”

Image 1_Comprehensive analysis of anoikis-related gene signature in ulcerative colitis using machine learning algorithms.tiff by Peng Liu (120506)

“…These genes were strongly associated with the infiltration of both innate and adaptive immune cells, as well as immune pathways. …”

Image 4_Comprehensive analysis of anoikis-related gene signature in ulcerative colitis using machine learning algorithms.tiff by Peng Liu (120506)

“…These genes were strongly associated with the infiltration of both innate and adaptive immune cells, as well as immune pathways. …”