Table 2_Exploration of the shared gene signatures and molecular mechanisms between cardioembolic stroke and ischemic stroke.xlsx حسب Xuan Wang (55634)

"…</p>Results<p>There were 125 shared up-regulated genes and 2 shared down-regulated between CS and IS, which were mainly involved in immune inflammatory response-related biological functions. The Maximum Clique Centrality algorithm identified 25 core shared genes in the PPI network constructed using the shared genes. …"

Table 3_Exploration of the shared gene signatures and molecular mechanisms between cardioembolic stroke and ischemic stroke.xlsx حسب Xuan Wang (55634)

"…</p>Results<p>There were 125 shared up-regulated genes and 2 shared down-regulated between CS and IS, which were mainly involved in immune inflammatory response-related biological functions. The Maximum Clique Centrality algorithm identified 25 core shared genes in the PPI network constructed using the shared genes. …"

Table 1_Exploration of the shared gene signatures and molecular mechanisms between cardioembolic stroke and ischemic stroke.xlsx حسب Xuan Wang (55634)

"…</p>Results<p>There were 125 shared up-regulated genes and 2 shared down-regulated between CS and IS, which were mainly involved in immune inflammatory response-related biological functions. The Maximum Clique Centrality algorithm identified 25 core shared genes in the PPI network constructed using the shared genes. …"

DataSheet1_Dynamics of following and leading: association of movement synchrony and depression severity.zip حسب Simone Jennissen (19684492)

"…Body movement was analyzed using Motion Energy Analysis, synchrony intervals were identified by computing windowed cross-lagged correlation and a peak-picking-algorithm. Depression severity was assessed via both self-rating (BDI-II) and clinician rating (HAMD).…"

Data Sheet 1_Cerebral gray matter volume identifies healthy older drivers with a critical decline in driving safety performance using actual vehicles on a closed-circuit course.pdf حسب Handityo Aulia Putra (21430112)

"…Additional factors, such as neuronal connectivity assessed by functional MRI, may improve predictive accuracy. Nonetheless, MRI-based assessment of brain structure can enhance our understanding of the neural mechanisms underlying driving safety and inform strategies to prevent traffic accidents among older adults.…"

Supplementary Material for: Novel Application of Connectomics to the Surgical Management of Pediatric Arteriovenous Malformations حسب figshare admin karger (2628495)

"…Introduction The emergence of connectomics in neurosurgery has allowed for construction of detailed maps of white matter connections, incorporating both structural and functional connectivity patterns. …"

Data Sheet 1_Inflammatory imbalance and activation deficits in T cells of myasthenia gravis patients revealed by proteomic profiling.pdf حسب Amol K. Bhandage (6083420)

"…Data analysis was performed using the Boruta algorithm to detect both linear and non-linear patterns, followed by multiple testing corrections, and correlation analyses. …"

<b>NanoNeuroBot: Beyond Healing, Toward Human Connection</b> حسب ahmed hossam (21420446)

"…<p dir="ltr">NanoNeuroBot & NeuroStimAI: Dual Non-Invasive Neuroregenerative Therapies for Spinal Cord Injury</p><p><br></p><p dir="ltr">⸻</p><p><br></p><p dir="ltr">Abstract / Description:</p><p><br></p><p dir="ltr">This dual-initiative research introduces two complementary, non-invasive technologies designed to restore neural connectivity and functionality in patients with Spinal Cord Injury (SCI).…"

BiLSTM model structure diagram [30]. حسب Yuye Zou (22806476)

"…The model employs a sophisticated three-phase methodology: (1) decomposition through Variational Mode Decomposition (VMD) to extract multiple intrinsic mode functions (IMFs) from the original time series, effectively capturing its nonlinear and complex patterns; (2) optimization using a Chaotic Particle Swarm Optimization (CPSO) algorithm to fine-tune the Bi-directional Long Short-Term Memory (BiLSTM) network parameters, thereby improving both predictive accuracy and model stability; and (3) integration of predictions from both high-frequency and low-frequency components to generate comprehensive final forecasts. …"

VMD-CPSO-BiLSTM network structure. حسب Yuye Zou (22806476)

"…The model employs a sophisticated three-phase methodology: (1) decomposition through Variational Mode Decomposition (VMD) to extract multiple intrinsic mode functions (IMFs) from the original time series, effectively capturing its nonlinear and complex patterns; (2) optimization using a Chaotic Particle Swarm Optimization (CPSO) algorithm to fine-tune the Bi-directional Long Short-Term Memory (BiLSTM) network parameters, thereby improving both predictive accuracy and model stability; and (3) integration of predictions from both high-frequency and low-frequency components to generate comprehensive final forecasts. …"

Data Sheet 1_Multimodal fusion model for diagnosing mild cognitive impairment in unilateral middle cerebral artery steno-occlusive disease.docx حسب Ziyi Yuan (12959918)

"…Objectives<p>To propose a multimodal functional brain network (FBN) and structural brain network (SBN) topological feature fusion technique based on resting-state functional magnetic resonance imaging (rs-fMRI), diffusion tensor imaging (DTI), 3D-T1-weighted imaging (3D-T1WI), and demographic characteristics to diagnose mild cognitive impairment (MCI) in patients with unilateral middle cerebral artery (MCA) steno-occlusive disease.…"

Video 3_Characterize neuronal responses to natural movies in the mouse superior colliculus.avi حسب Ya-tang Li (20858759)

"…An unsupervised learning algorithm grouped recorded neurons into 16 clusters based on their response patterns. …"

Video 2_Characterize neuronal responses to natural movies in the mouse superior colliculus.mp4 حسب Ya-tang Li (20858759)

"…An unsupervised learning algorithm grouped recorded neurons into 16 clusters based on their response patterns. …"

Video 1_Characterize neuronal responses to natural movies in the mouse superior colliculus.avi حسب Ya-tang Li (20858759)

"…An unsupervised learning algorithm grouped recorded neurons into 16 clusters based on their response patterns. …"

Video 4_Characterize neuronal responses to natural movies in the mouse superior colliculus.avi حسب Ya-tang Li (20858759)

"…An unsupervised learning algorithm grouped recorded neurons into 16 clusters based on their response patterns. …"

Residual risk of undetected blood-borne virus infection in deceased organ donors: Residual risk visualiser website حسب Martin Dutch (6601742)

"…Assay performance is based on a commonly used commercial assay. The algorithm uses previously published viral doubling times.…"

Table_1_Development and validation of a multivariable nomogram predictive of hepatitis B e antigen seroconversion after pregnancy in hepatitis B virus-infected mothers.DOCX حسب Wenting Zhong (11460046)

"…In the training cohort, independent predictors were identified using the least absolute shrinkage and selection operator (LASSO) regression algorithm. Subsequently, multivariate logistic regression was employed to establish the nomogram. …"

Local Signal Detection on Irregular Domains with Generalized Varying Coefficient Models حسب Chengzhu Zhang (5432417)

"…We also establish the consistency of estimated nonparametric coefficient functions and the estimated null regions. The numerical performance of the proposed method is evaluated in both simulation cases and real data analysis. …"

<b>Rethinking neighbourhood boundaries for urban planning: A data-driven framework for perception-based delineation</b> حسب Shubham Pawar (22471285)

"…</p><h2>Project Structure</h2><pre><pre>Perception_based_neighbourhoods/<br>├── raw_data/<br>│ ├── ET_cells_glasgow/ # Glasgow grid cells for analysis<br>│ └── glasgow_open_built/ # Built area boundaries<br>├── svi_module/ # Street View Image processing<br>│ ├── svi_data/<br>│ │ ├── svi_info.csv # Image metadata (output)<br>│ │ └── images/ # Downloaded images (output)<br>│ ├── get_svi_data.py # Download street view images<br>│ └── trueskill_score.py # Generate TrueSkill scores<br>├── perception_module/ # Perception prediction<br>│ ├── output_data/<br>│ │ └── glasgow_perception.nc # Perception scores (demo data)<br>│ ├── trained_models/ # Pre-trained models<br>│ ├── pred.py # Predict perceptions from images<br>│ └── readme.md # Training instructions<br>└── cluster_module/ # Neighbourhood clustering<br> ├── output_data/<br> │ └── clusters.shp # Final neighbourhood boundaries<br> └── cluster_perceptions.py # Clustering algorithm<br></pre></pre><h2>Prerequisites</h2><ul><li>Python 3.8 or higher</li><li>GDAL/OGR libraries (for geospatial processing)</li></ul><h2>Installation</h2><ol><li>Clone this repository:</li></ol><p dir="ltr">Download the zip file</p><pre><pre>cd perception_based_neighbourhoods<br></pre></pre><ol><li>Install required dependencies:</li></ol><pre><pre>pip install -r requirements.txt<br></pre></pre><p dir="ltr">Required libraries include:</p><ul><li>geopandas</li><li>pandas</li><li>numpy</li><li>xarray</li><li>scikit-learn</li><li>matplotlib</li><li>torch (PyTorch)</li><li>efficientnet-pytorch</li></ul><h2>Usage Guide</h2><h3>Step 1: Download Street View Images</h3><p dir="ltr">Download street view images based on the Glasgow grid sampling locations.…"

Oryza australiensis species-specific gene and protein candidates حسب Sabrina Morrison (19846869)

"…</p><p dir="ltr">The protein sequence data for both <i>O. australiensis</i> and <i>O. sativa</i> (Osativa323v7 protein file Phytozome). were filtered for the longest isomer and then analysed for orthologous and unique protein clusters within the O. australiensis genome using OrthoVenn3 (parameters: OrthoFinder algorithm, E-value: 1e-2, Inflation value:1.50) (Sun et al., 2023, Emms and Kelly, 2019). …"