Image1_“Dictionary of immune responses” reveals the critical role of monocytes and the core target IRF7 in intervertebral disc degeneration.jpeg حسب Peichuan Xu (19862055)

"…Cytokines facilitate intercellular communication within the immune system, induce immune cells polarisation, and exacerbate oxidative stress in IDD. …"

Artificial Neural Network Model for Predicting the Viscosity of Crosslinked Polyacrylamide and Polyethylenimine Polymer Gel for Oilfield Water Control حسب S M Safayet Aziz (20832236)

"…The model was trained using the Levenberg-Marquardt algorithm. The hidden layer uses the tangent sigmoid (Tansig) activation function, and the output layer employs a linear (Purelin) activation function. …"

LDD microtubule-based nucleation naturally results in a local microtubule density-dependent fraction of microtubule-based nucleation. حسب Marco Saltini (22209094)

"…<p>Fraction of microtubule-based nucleation as a function of (A) local and (B) global microtubule density (<i>ρ</i>) during a single simulation run. …"

Data Sheet 1_Comparative evaluation of machine learning models for enhancing diagnostic accuracy of otitis media with effusion in children with adenoid hypertrophy.pdf حسب Xiaote Zhang (21570542)

"…The dataset underwent 7:3 stratified partitioning for training and testing cohorts. Within the training cohort, models were initially optimized through randomized grid search with 5-fold cross-validation, followed by comprehensive training with optimized parameters. …"

Supplementary file 1_Single-cell and bulk transcriptomic analyses reveal PANoptosis-associated immune dysregulation of fibroblasts in periodontitis.zip حسب Erli Wu (17785482)

"…By integrating bulk transcriptomic data with machine learning algorithms, we identified and validated key PANoptosis-related genes, highlighting their potential as novel therapeutic targets.…"

An Ecological Benchmark of Photo Editing Software: A Comparative Analysis of Local vs. Cloud Workflows حسب Pierre-Alexis DELAROCHE (22092572)

"…Performance Profiling Algorithms Energy Measurement Methodology # Pseudo-algorithmic representation of measurement protocol def capture_energy_metrics(workflow_type: WorkflowEnum, asset_vector: List[PhotoAsset]) -> EnergyProfile: baseline_power = sample_idle_power_draw(duration=30) with PowerMonitoringContext() as pmc: start_timestamp = rdtsc() # Read time-stamp counter if workflow_type == WorkflowEnum.LOCAL: result = execute_local_pipeline(asset_vector) elif workflow_type == WorkflowEnum.CLOUD: result = execute_cloud_pipeline(asset_vector) end_timestamp = rdtsc() energy_profile = EnergyProfile( duration=cycles_to_seconds(end_timestamp - start_timestamp), peak_power=pmc.get_peak_consumption(), average_power=pmc.get_mean_consumption(), total_energy=integrate_power_curve(pmc.get_power_trace()) ) return energy_profile Statistical Analysis Framework Our analytical pipeline employs advanced statistical methodologies including: Variance Decomposition: ANOVA with nested factors for hardware configuration effects Regression Analysis: Generalized Linear Models (GLM) with log-link functions for energy modeling Temporal Analysis: Fourier transform-based frequency domain analysis of power consumption patterns Cluster Analysis: K-means clustering with Euclidean distance metrics for workflow classification Data Validation and Quality Assurance Measurement Uncertainty Quantification All energy measurements incorporate systematic and random error propagation analysis: Instrument Precision: ±0.1W for CPU power, ±0.5W for GPU power Temporal Resolution: 1ms sampling with Nyquist frequency considerations Calibration Protocol: NIST-traceable power standards with periodic recalibration Environmental Controls: Temperature-compensated measurements in climate-controlled facility Outlier Detection Algorithms Statistical outliers are identified using the Interquartile Range (IQR) method with Tukey's fence criteria (Q₁ - 1.5×IQR, Q₃ + 1.5×IQR). …"

Data Sheet 1_Integrative multi-omics identifies MEIS3 as a diagnostic biomarker and immune modulator in hypertrophic cardiomyopathy.docx حسب Jinchen He (18929662)

"…Machine learning algorithms (LASSO and Random Forest) were used to identify key diagnostic genes. …"

Echo Peak حسب Rocco De Marco (14146593)

"…Peaks within each window are analyzed to compute the average inter-click interval (ICI), a key feature distinguishing different click types. …"

Consensus group. حسب Yinghao Ren (17915291)

"…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …"

GSVA pathway. حسب Yinghao Ren (17915291)

"…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …"

Hallmark significant GSVA results. حسب Yinghao Ren (17915291)

"…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …"

RBP table. حسب Yinghao Ren (17915291)

"…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …"

Enrichment analysis of GO. حسب Yinghao Ren (17915291)

"…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …"

Differential gene expression analysis results. حسب Yinghao Ren (17915291)

"…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …"

The flowchart of this study. حسب Yinghao Ren (17915291)

"…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …"

DGIdb. حسب Yinghao Ren (17915291)

"…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …"

Etodolac utility in osteoarthritis: drug delivery challenges, topical nanotherapeutic strategies and potential synergies حسب Pavani Gaddala (19761334)

"…Inflammatory processes within OSA joints are regulated by pro-inflammatory and anti-inflammatory cytokines. …"

Glucocorticoid related genes. حسب Yinghao Ren (17915291)

"…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …"

CIBERSORTx results. حسب Yinghao Ren (17915291)

"…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …"

Differential gene expression analysis results. حسب Yinghao Ren (17915291)

"…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …"