Identifying Reactive Trends in Glycerol Electro-Oxidation Using an Automated Screening Approach: 28 Ways to Electrodeposit an Au Electrocatalyst حسب Raghuram Gaddam (15285161)

2024 HUD Point in Time Count Data by State and CoC with Serious Mental Illness and Chronic Substance Use Counts حسب Benjamin Gorman (21648794)

"…</p><p dir="ltr">HUD PIT Count reports for states, Washington, DC, and the 384 CoCs were systematically downloaded from the HUD Exchange website using a Python script developed using Cursor software. …"

R codes and curated dataset for “EnoLEX: A Diachronic Lexical Database for the Enggano Language” حسب Gede Primahadi Wijaya Rajeg (14592023)

Oka et al., Supplementary Data for "Development of a battery emulator using deep learning model to predict the charge–discharge voltage profile of lithium-ion batteries" حسب Kanato Oka (20132185)

"…To use this Python script, you need to modify the "CFG" and "Convenient" sections within the script.…"

Efficient, Hierarchical, and Object-Oriented Electronic Structure Interfaces for Direct Nonadiabatic Dynamics Simulations حسب Sascha Mausenberger (22225772)

"…We present a novel, flexible framework for electronic structure interfaces designed for nonadiabatic dynamics simulations, implemented in Python 3 using concepts of object-oriented programming. …"

The Twin Prime Conjecture: Collapse-Band Parity Cancellation and Operator Proof حسب Jennifer Bulyaki (22283308)

Landscape Change Monitoring System (LCMS) Conterminous United States Cause of Change (Image Service) حسب U.S. Forest Service (17476914)

"…CCDC predictor variables include CCDC sine and cosine coefficients (first 3 harmonics), fitted values, and pairwise differences from the Julian Day of each pixel used in the annual composites and LandTrendr. Terrain predictor variables include elevation, slope, sine of aspect, cosine of aspect, and topographic position indices (Weiss, 2001) from the USGS 3D Elevation Program (3DEP) (U.S. …"

Yokoyama et al., Supplementary Data for "Prediction of Li-ion Conductivity in Ca and Si co-doped LiZr₂(PO₄)₃ Using a Denoising Autoencoder for Expe... حسب Yumika Yokoyama (20174705)

"…<p dir="ltr"><b>uniDAE.py </b>is the python script used in this study. The script includes a denoising autoencoder for XRD profiles with six attention heads and a deep learning model for regression analysis of the activation energy (Ea) of ion conduction.…"

Machine Learning-Driven Discovery and Database of Cyanobacteria Bioactive Compounds: A Resource for Therapeutics and Bioremediation حسب Renato Soares (20348202)

"…In this study, a searchable, updated, curated, and downloadable database of cyanobacteria bioactive compounds was designed, along with a machine-learning model to predict the compounds’ targets of newly discovered molecules. A Python programming protocol obtained 3431 cyanobacteria bioactive compounds, 373 unique protein targets, and 3027 molecular descriptors. …"

List of abbreviations. حسب Jingru Dong (14076094)

"…In this study, we develop a non-invasive breast cancer classification system for detecting cancer metastasis. We used Anaconda-Jupyter notebooks to develop various Python programming modules for text mining, data processing, and machine learning (ML) methods. …"

Heat map of the correlation of features. حسب Jingru Dong (14076094)

"…In this study, we develop a non-invasive breast cancer classification system for detecting cancer metastasis. We used Anaconda-Jupyter notebooks to develop various Python programming modules for text mining, data processing, and machine learning (ML) methods. …"

Experimental environment configuration table. حسب Jingru Dong (14076094)

"…In this study, we develop a non-invasive breast cancer classification system for detecting cancer metastasis. We used Anaconda-Jupyter notebooks to develop various Python programming modules for text mining, data processing, and machine learning (ML) methods. …"

Pseudocode for machine learning models. حسب Jingru Dong (14076094)

"…In this study, we develop a non-invasive breast cancer classification system for detecting cancer metastasis. We used Anaconda-Jupyter notebooks to develop various Python programming modules for text mining, data processing, and machine learning (ML) methods. …"

Base learner parameters. حسب Jingru Dong (14076094)

"…In this study, we develop a non-invasive breast cancer classification system for detecting cancer metastasis. We used Anaconda-Jupyter notebooks to develop various Python programming modules for text mining, data processing, and machine learning (ML) methods. …"

Data inclusion and exclusion process. حسب Jingru Dong (14076094)

"…In this study, we develop a non-invasive breast cancer classification system for detecting cancer metastasis. We used Anaconda-Jupyter notebooks to develop various Python programming modules for text mining, data processing, and machine learning (ML) methods. …"

Modeling flowchart. حسب Jingru Dong (14076094)

"…In this study, we develop a non-invasive breast cancer classification system for detecting cancer metastasis. We used Anaconda-Jupyter notebooks to develop various Python programming modules for text mining, data processing, and machine learning (ML) methods. …"

S1 Data - حسب Jingru Dong (14076094)

"…In this study, we develop a non-invasive breast cancer classification system for detecting cancer metastasis. We used Anaconda-Jupyter notebooks to develop various Python programming modules for text mining, data processing, and machine learning (ML) methods. …"

Seamless integration of legacy robotic systems into a self-driving laboratory via NIMO: a case study on liquid handler automation حسب Ryo Tamura (1957942)

"…NIMO facilitates AI integration through straightforward file exchanges, ensuring compatibility with robotic experimental systems programmed in non-Python languages such as VB and LabVIEW, as well as SDLs managed by other OS platforms. …"

JASPEX model حسب Olugbenga OLUWAGBEMI (21403187)

"…The accompany data were processed and reformatted into its current form using Python programming within Jupyter Notebook enivironment and Shell programming.…"

Archive of data and code associated with the publication "<b>Nanoscale 3D DNA tracing reveals the mechanism of self-organization of mitotic chromosomes</b>" by Beckwith, Brunner, e... حسب Kai Sandvold Beckwith (19646290)

"…</p><p dir="ltr">run_LE_sim.ipynb: Jupyter notebook containing code examples to run 1D loop extrusion simulations to be used as input for dynamic polymer simulations.</p><p dir="ltr">run_polychrom_LE.py: Executable python program to run dynamic polychrom simulations based on the 1D loop extrusions. …"