System Hardware ID Generator Script: A Cross-Platform Hardware Identification Tool by Pavel Izosimov (20096259)

“…</li></ul><h2>Integration with Other Tools</h2><p dir="ltr">The System Hardware ID Generator Script is part of the broader suite of tools offered by the <a href="https://xn--mxac.net/" target="_blank">Alpha Beta Network</a>, dedicated to enhancing security and performance in <a href="https://xn--mxac.net/" target="_blank">Python programming</a>.</p><ul><li>For advanced <a href="https://xn--mxac.net/local-python-code-protector.html" target="_blank">Python code protection tools</a>, consider using the <a href="https://xn--mxac.net/local-python-code-protector.html" target="_blank">Local Python Code Protector Script</a>. …”

Python file of the computational framework. by Benoit Haut (9753029)

Results derived from <i>D</i>-SPR analysis at 25°C: <i>D</i>-SPR values refer to the <i>D</i> calculated with the Python script; <i>error</i> column reports the standard deviation values and represents the variability within the mean of four experimental replicates. by Gabriele Antonio Zingale (12463357)

“…<p>Results derived from <i>D</i>-SPR analysis at 25°C: <i>D</i>-SPR values refer to the <i>D</i> calculated with the Python script; <i>error</i> column reports the standard deviation values and represents the variability within the mean of four experimental replicates.…”

Results derived from <i>D</i>-SPR analysis of the lysozyme (349μM) at 25°C: <i>D</i>-SPR values refer to the <i>D</i> calculated with the Python script described previously; the <i>error</i> column reports the standard deviation values and represents the variability within the mean of four experimental replicates; values are consistent with the ones reported in the existing literature [13]. by Gabriele Antonio Zingale (12463357)

“…<p>Results derived from <i>D</i>-SPR analysis of the lysozyme (349μM) at 25°C: <i>D</i>-SPR values refer to the <i>D</i> calculated with the Python script described previously; the <i>error</i> column reports the standard deviation values and represents the variability within the mean of four experimental replicates; values are consistent with the ones reported in the existing literature [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0312594#pone.0312594.ref013" target="_blank">13</a>].…”

Correlation (a) and Mean-Absolute-Error (b) between frequencies at a reference cutoff, δ₀, and different frequencies, , at different cutoff-values, δ_scan ∊ [3... by Guillermo Pérez-Hernández (21156182)

Comparison of window size for embedding with Wordnet synonym replacement (WN) and without (PM). While Table 1 compared the effects of different values of using a window size of 10,... by Enock Niyonkuru (21246879)

Comparison of tools with features similar to <i>bmdrc,</i> and a descriptions of the modules within the <i>bmdrc</i> package.  by David J. Degnan (13886280)

Modeling lung cancer AST network and its perturbation with a SOX2 degrader. (A) Lung Cancer AST Network and the corresponding stochastic equations. Parameters are , , , , , , , , w... by Ziyan Jin (21021976)

Data for "A hollow fiber membrane permeance evaluation device demonstrating outside-in and inside-out performance differences" by Timothy Warner (20222838)

“…</li></ul><h4>Device_validation > Plot_data > results:</h4><ul><li>Contains a .jpg and .svg file of Figure 2 without the inserts, generated by the python script.</li></ul><h3>Orientation Comparison</h3><h4>Orientation_comparison > Outside-in_new:</h4><ul><li>Contains all the raw and processed data for plotting the flux and permeance values.…”

Segmentation module training details. by Khelina Fedorchuk (19130089)

Overview of one by Guillermo Pérez-Hernández (21156182)

Estimating dopamine effects on humans. by Domenico Guarino (20428000)

Cross-validation of Lasso regression of enhanced CT images. by Jiangfa Li (18345033)

Cross-validation of Lasso regression of enhanced MRI images. by Jiangfa Li (18345033)

The cross-validation diagram of Lasso regression of enhanced CT combined with MRI images. by Jiangfa Li (18345033)

<i>Spherical Textures</i> and machine-learning classifications of <i>C. elegans</i> germline nuclei. by Oane Gros (20636735)

Differences in compartment weights explain differences between EEG and ECoG. by Joseph James Tharayil (21416715)

MCCN Case Study 3 - Select optimal survey locality by Donald Hobern (21435904)

“…</p><p dir="ltr">This is a simple implementation that uses four environmental attributes imported for all Australia (or a subset like NSW) at a moderate grid scale:</p><ol><li>Digital soil maps for key soil properties over New South Wales, version 2.0 - SEED - see <a href="https://esoil.io/TERNLandscapes/Public/Pages/SLGA/ProductDetails-SoilAttributes.html" target="_blank">https://esoil.io/TERNLandscapes/Public/Pages/SLGA/ProductDetails-SoilAttributes.html</a></li><li>ANUCLIM Annual Mean Rainfall raster layer - SEED - see <a href="https://datasets.seed.nsw.gov.au/dataset/anuclim-annual-mean-rainfall-raster-layer" target="_blank">https://datasets.seed.nsw.gov.au/dataset/anuclim-annual-mean-rainfall-raster-layer</a></li><li>ANUCLIM Annual Mean Temperature raster layer - SEED - see <a href="https://datasets.seed.nsw.gov.au/dataset/anuclim-annual-mean-temperature-raster-layer" target="_blank">https://datasets.seed.nsw.gov.au/dataset/anuclim-annual-mean-temperature-raster-layer</a></li></ol><h4><b>Dependencies</b></h4><ul><li>This notebook requires Python 3.10 or higher</li><li>Install relevant Python libraries with: <b>pip install mccn-engine rocrate</b></li><li>Installing mccn-engine will install other dependencies</li></ul><h4><b>Overview</b></h4><ol><li>Generate STAC metadata for layers from predefined configuratiion</li><li>Load data cube and exclude nodata values</li><li>Scale all variables to a 0.0-1.0 range</li><li>Select four layers for comparison (soil organic carbon 0-30 cm, soil pH 0-30 cm, mean annual rainfall, mean annual temperature)</li><li>Select 10 random points within NSW</li><li>Generate 10 new layers representing standardised environmental distance between one of the selected points and all other points in NSW</li><li>For every point in NSW, find the lowest environmental distance to any of the selected points</li><li>Select the point in NSW that has the highest value for the lowest environmental distance to any selected point - this is the most different point</li><li>Clean up and save results to RO-Crate</li></ol><p><br></p>…”

CpG Signature Profiling and Heatmap Visualization of SARS-CoV Genomes: Tracing the Genomic Divergence From SARS-CoV (2003) to SARS-CoV-2 (2019) by Tahir Bhatti (20961974)

“…Preprocessing</p><p dir="ltr">Data Cleaning :</p><p dir="ltr">Missing values (NaN), infinite values (inf, -inf), and blank entries were handled using Python's pandas library.…”

<b>IEEE 14 bus test systems row data </b> by meysam shahriyari (22599314)

“…</p><p dir="ltr">The <b>last column</b> denotes the <b>output label</b>, which can take integer values from 0 to 4, representing different stability categories.…”