An example Python input file for the CA4 binder design. حسب Jakub Lála (17136205)

Additional file 1 of How to minimize mechanical power during controlled mechanical ventilation حسب Ben Fabry (20406425)

<b>FluxZayn: </b>An Extension for Stable Diffusion WebUI Forge 300 word overview حسب Umran Ali (3853630)

"…<p dir="ltr"><b>FluxZayn: </b>An Extension for Stable Diffusion WebUI Forge 300 word overview<br></p><p dir="ltr">This practice-led, auto-ethnographic case study documents the creation of FluxZayn, a Python-based extension for the Stable Diffusion WebUI Forge platform that enables one-click transparent PNG generation. …"

Spatiotemporal Soil Erosion Dataset for the Yarlung Tsangpo River Basin (1990–2100) حسب peng xin (21382394)

Instance segmentation benchmarking results. حسب Khelina Fedorchuk (19130089)

"…The software is written in pure Python and is freely available. We suggest this tool is particularly suited to the tracking of cells in suspension, whose fast motion makes lineage assembly particularly difficult.…"

Training details of the trackers. حسب Khelina Fedorchuk (19130089)

"…The software is written in pure Python and is freely available. We suggest this tool is particularly suited to the tracking of cells in suspension, whose fast motion makes lineage assembly particularly difficult.…"

Warm-Rain Precipitation حسب Xiaojun Guan (22098905)

"…<p dir="ltr">(1) The RAR file named “vertical_profiles_of_polarimetric_variables” contains 9 .npy files generated using Python’s NumPy library. …"

<b>Labelled AIS Trajectories Near Svalbard for Abnormal Behavior Detection</b> حسب Harald Vilhelm Skat-Rørdam (19640353)

MSc Personalised Medicine at Ulster University حسب Steven Watterson (100045)

"…Both full-time and part-time programmes have two intakes and can be started in September or January.…"

Dataset – Student & Early-Career Survey on Data-Analytics Tool Adoption and Decision-Making (Uzbekistan, Apr–May 2025) حسب Lev Radman (21381269)

"…</i> Items operationalise seven UTAUT/TAM-based constructs: Performance Expectancy, Effort Expectancy, Behavioural Intention, Familiarity & Usage, Task–Technology Fit, Barriers to Adoption, plus Demographics (age, gender, study programme, prior stats courses, work experience). All Likert items use a five-point scale.…"

Variation of the low-mass end of the stellar initial mass function with redshift and metallicity (dataset) حسب Matthew R. Bate (21823244)

"…The P-files can be read using the Fortran programme included in the repository: ptmass_simple_MPI_2.f . …"

Ambient Air Pollutant Dynamics (2010–2025) and the Exceptional Winter 2016–17 Pollution Episode: Implications for a Uranium/Arsenic Exposure Event حسب Thomas Clemens Carmine (19756929)

"…This dataset was compiled and analyzed to:</p><p><br></p><ol><li>Characterize the air quality profile during the winter (Dec 2016–Mar 2017) immediately preceding and overlapping with the initial phase of the U/As exposure event.…"

<b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043) حسب Erola Fenollosa (20977421)

"…Betalain content increased sharply in non-reproductive ramets during extreme abiotic conditions in summer and during senescence in reproductive ramets. …"

Nucleotide analogue tolerant synthetic RdRp mutant construct for Surveillance and Therapeutic Resistance Monitoring in SARS-CoV-2 حسب Tahir Bhatti (20961974)

"…Biopython: Freely available Python tools for computational molecular biology and bioinformatics. …"

Landscape17 حسب Vlad Carare (22092515)

"…</p><p dir="ltr">We utilized TopSearch, an open-source Python package, to perform landscape exploration, at an estimated cost of 10⁵CPUh. …"

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

"…Energy consumption metrics demonstrate polynomial scaling relationships (R² > 0.97) with respect to input cardinality, following power-law distributions characteristic of complex computational systems. 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). …"