High-Throughput Mass Spectral Library Searching of Small Molecules in R with NIST MSPepSearch by Andrey Samokhin (20282728)

“…High-level programming languages such as Python and R are widely used in mass spectrometry data processing, where library searching is a standard step. …”

Contrast enhancement of digital images using dragonfly algorithm by Soumyajit Saha (19726163)

“…The article deals with contrast enhancement as an optimization problem and uses the Dragonfly Algorithm (DA) to find the optimal grey-level intensity values. …”

Cost functions implemented in Neuroptimus. by Máté Mohácsi (20469514)

“…We identified several algorithms, including covariance matrix adaptation evolution strategy and particle swarm optimization, that consistently, without any fine-tuning, found good solutions in all of our use cases. By contrast, some other algorithms including all local search methods provided good solutions only for the simplest use cases, and failed completely on more complex problems. …”

Parallel Sampling of Decomposable Graphs Using Markov Chains on Junction Trees by Mohamad Elmasri (19421498)

“…This work makes two contributions to address this problem. First, we provide sufficient and necessary conditions for when multi-edge perturbations maintain decomposability of the graph. …”

Investigating the far-right online: Using text data to understand online subcultures by L Brace (18374691)

“…While these analytical techniques are new, they are actually fairly easy for social researchers to implement due to the nature of contemporary high-level programming languages such as Python.…”

Mushroom Classification Using Support Vector Machines (SVM) Focusing on Cap Features. by Gabriel Minato (22462099)

“…The predictor variables were</p><p dir="ltr">20 pre-processed features of the mushroom cap, and the target variable was the mushroom's class</p><p dir="ltr">(edible 'e' or poisonous 'p'). The tools used were the Python programming language and its</p><p dir="ltr">libraries, primarily Scikit-learn to build and optimize the SVM classifier. …”

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

Deciphering pseudouridylation profiles and their biogenesis from deep sequencing data using psiFinder by zhirong chen (20863529)

Animal bite risk map for Mymensingh district in 2022 and 2023. by Chandra Shaker Chouhan (17262842)

Data Sheet 1_The development and use of data warehousing in clinical settings: a scoping review.pdf by Shiyang Lyu (20910008)

“…We searched four databases (PubMed, CINAHL, Scopus and IEEE-Xplore), identifying peer-reviewed, English-language studies from 1st January 2014 to 1st January 2024, that focus on data warehousing in healthcare, covering either general or specialised data warehouse applications. Python programming was used to extract the search results and transform the data into a tabular format for analysis.…”

Affinity Molecular Assay for Detecting Candida albicans Using Chitin Affinity and RPA-CRISPR/Cas12a by Deqiang Wang (19817560)

“…Raw reads were obtained from Tsingke Biotechnology (Beijing, China) and analyzed using Python scripts (Python 3.11.8), filtering reads with an average Phred quality (Q score) of at least 25. …”

Landscape network <i>G</i>: a) nodes <i>i</i>; b) edges <i>ij</i>; c) fire spread probabilities <i>p</i>_<i>ij</i> between node pairs <i>i</i>, <i>j.</i> by Denys Yemshanov (139108)

<b>MSLU-100K: A multi-source land use dataset of Chinese major cities</b> by Yao Yao (7903457)

“…<p dir="ltr">The project includes the code of a deep learning model related to the paper "MSLU-100K: A Multi-Source Land Use Dataset for Major Cities in China". This paper presents a model for classifying irregular land parcels by land use. …”

<b>Use case codes of the DDS3 and DDS4 datasets for bacillus segmentation and tuberculosis diagnosis, respectively</b> by Marly G F Costa (19812192)

“…<p dir="ltr"><b>Use case codes of the DDS3 and DDS4 datasets for bacillus segmentation and tuberculosis diagnosis, respectively</b></p><p dir="ltr">The code was developed in the Google Collaboratory environment, using Python version 3.7.13, with TensorFlow 2.8.2. …”

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

2024 HUD Point in Time Count Data by State and CoC with Serious Mental Illness and Chronic Substance Use Counts by 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” by 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" by 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 by 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. …”

Landscape Change Monitoring System (LCMS) Conterminous United States Cause of Change (Image Service) by 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. …”