Validation of the neural decoding pipeline. حسب Sam Hall-McMaster (10343795)

Decoding evidence for policies on each individual test task. حسب Sam Hall-McMaster (10343795)

Average trace of each ROI cluster at maximum silhouette score. حسب Virgil Christian Garcia Castillo (19688355)

Statistical significance of the proposed method. حسب Jamila Akhter (21144252)

"…<div><p>The functional near-infrared spectroscopy-based brain-computer interface (fNIRS-BCI) systems recognize patterns in brain signals and generate control commands, thereby enabling individuals with motor disabilities to regain autonomy. …"

Data Sheet 1_Machine learning models predict coagulopathy in traumatic brain injury patients in ER.csv حسب 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 حسب 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 حسب 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%. حسب Zhengdong Wang (35299)

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

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

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

Supplementary file 1_Identifying pyroptosis-hub genes and immune infiltration in neonatal hypoxic-ischemic brain injury.docx حسب 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. …"

Data information and schematic diagram of the overlapping modular architecture based on the edge-centric module detection. حسب 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. …"

Overview of the research process. حسب Pedro Fong (2378413)

"…We used the automated docking suite GOLD v5.5 with the genetic algorithm to simulate molecular docking and predict the protein-ligand binding modes, and the ChemPLP empirical scoring function to estimate the binding affinities of 2,115 FDA-approved drugs to the human Ca_v3.1 channel. …"

Figure 3 from Membrane-bound Heat Shock Protein mHsp70 Is Required for Migration and Invasion of Brain Tumors حسب Maxim Shevtsov (15023874)

"…<b>A,</b> Designation of the brain tumor regions on postcontrast T1-weighted image for obtaining tumor samples from necrotic, tumor, and peritumoral regions. …"

Table_1_High-order brain network feature extraction and classification method of first-episode schizophrenia: an EEG study.csv حسب Yanxia Kang (9949844)

"…This approach addresses the limitations of traditional higher-order brain network analyses that rely on single persistent features (e.g., persistent images).…"

Table 1_Kefir and healthy aging: revealing thematic gaps through AI-assisted screening and semantic evidence mapping.docx حسب Francesco Chiani (2661328)

"…To overcome this fragmentation, we applied an integrative approach that combines a cutting-edge AI-assisted algorithm for evidence screening with a Python-based semantic clustering pipeline. …"

Table 2_Kefir and healthy aging: revealing thematic gaps through AI-assisted screening and semantic evidence mapping.docx حسب Francesco Chiani (2661328)

"…To overcome this fragmentation, we applied an integrative approach that combines a cutting-edge AI-assisted algorithm for evidence screening with a Python-based semantic clustering pipeline. …"

Table 3_Kefir and healthy aging: revealing thematic gaps through AI-assisted screening and semantic evidence mapping.xlsx حسب Francesco Chiani (2661328)

"…To overcome this fragmentation, we applied an integrative approach that combines a cutting-edge AI-assisted algorithm for evidence screening with a Python-based semantic clustering pipeline. …"

Table 4_Kefir and healthy aging: revealing thematic gaps through AI-assisted screening and semantic evidence mapping.docx حسب Francesco Chiani (2661328)

"…To overcome this fragmentation, we applied an integrative approach that combines a cutting-edge AI-assisted algorithm for evidence screening with a Python-based semantic clustering pipeline. …"