Perturbation based privacy preservation and classification using Jaya Algorithm and Dragonfly Inspired Algorithm by Dipanwita Sen, Bhupati Bhusan Mishra, Prasant Kumar Pattnaik

“…The updated dragonflies are assigned new centroids at each stage. All these simulations have been implemented in Python environment.…”
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Wellcounter: Automated high‐throughput phenotyping for aquatic microinvertebrates by Claus‐Peter Stelzer, Dominique Groffman

“…The software, developed in Python, supports detailed population size measurements, growth rate analysis and swimming behaviour quantification. …”
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Esthetic Dentistry on Twitter: Benefits and Dangers by Nesreen A. Salim, Fahed Jubair, Yazan M. Hassona, Sarah Izriqi, Dana Al-Fuqaha’a

“…Advertising for whitening products was the second most common between all tweets (16.6%), and advertising for dental practices was the third (14.7%). …”
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DESIGN AND IMPLEMENTATION OF AN INDOOR AIR QUALITY MONITORING SYSTEM BASED ON RASPBERRY PI AND ARDUINO PLATFORMS by I. Rudavskyi, L. Kovaliv, Halyna Klym

“…The system software is designed using Python and Tkinter, as well as Arduino IDE. This combination allows you to effectively organize the work of all components and ensure continuous monitoring of air quality. …”
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Comparing glucose monitoring methods: efficiency insights in a simulated hospital setting by Allan Davasgaium, Allan Davasgaium, Timothy Robbins, Bianca Leca, Bianca Leca, Andreea Epure, Sailesh Sankar, Sailesh Sankar, Harpal Randeva, Harpal Randeva

“…Task durations and staff perceptions were assessed, with statistical analyses conducted using Python (version 3). DIGM was significantly faster than finger-prick testing. …”
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Clinical and morphological myocardial changes in patients with post-COVID-19 syndrome by S. V. Mayrina, I. A. Makarov, L. B. Mitrofanova, M. S. Vonsky, A. L. Runov, K. A. Papko, O. M. Moiseeva

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Risk prediction model for precancerous gastric lesions based on magnifying endoscopy combined with narrow-band imaging features by Jingna Tao, Zhongmian Zhang, Linghan Meng, Liju Zhang, Jiaqi Wang, Zhihong Li

“…Receiver operating characteristic (ROC) curves were plotted using Python 3.12.4. Model accuracy, area under the ROC curve (AUC), sensitivity, and specificity were calculated for comprehensive validation.ResultsAll three models demonstrated excellent diagnostic performance, with random forest and XGBoost models showing marginally superior accuracy, AUC values, and sensitivity compared with the Bayesian stepwise discrimination model. …”
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Patient-Reported LASIK Outcomes on RealSelf: a Social Media Review Platform by Zhu A, Burton C, Tseng CC, Ling J, Mahajan J, Zhu D

“…Refractive result was more likely than all other factors to be the primary theme of positive reviews, while cost was least likely (p < 0.001). …”
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Scientific production in sexual and reproductive health and rights research according to gender and affiliation: An analysis of publications from 1972 to 2021. by Livia Oliveira-Ciabati, Anna Thorson, Vanessa Brizuela

“…We applied a logistic regression model to explore associations between author gender and other characteristics of published articles and a time series analysis to assess how time can influence the inclusion of women as authors in a publication. Python and R were used for all analyses.<h4>Results</h4>A total of 1,484 publications with 14,424 listed authors representing 5,950 unique authors were included in our analysis: 42.5% were female, 35.1% male, and 22.4% unknown (p<0.0001). …”
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Inversion Study of Hydrogeological Parameters for Metro Foundation Pit Confined Aquifiers Based on Surrogate Modeling by YE Ru, DI Honggui, ZHU Zhitai, ZHU Yilong, JIANG Bin, XIANG Longsheng, CHAI Dongsheng, YAO Qiyu

“…[Method] Based on the dewatering test at Sports Center Station on Ningbo Rail Transit Line 7, a three-dimensional transient groundwater seepage model is developed with Modflow6 software called via the Flopy module in Python language. An LSTM (long- and short-term memory) deep learning model is introduced to build a surrogate model of confined aquifer water level variations. …”
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Approximation of the Profile of Gas Turbine Engine Blades by M. E. Soloviev, Y. N. Shuleva, S. L. Baldaev, L. Kh. Baldaev

“…This made it possible to provide high accuracy of approximation and construction of a continuous mapping for the parameters of the blade profile approximation. A Python application was created for automated processing of source profiles. …”
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Improving network security using keyboard dynamics: A comparative study by Ugwunna, C.O., Chukwuogo, O.E., Alabi, O.A., Kareem, M.K., Belonwu, T.S., Oloyede, S.O.

“…Python is used for the development work, while Jupyter notebook is used as the IDE. …”
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Maximum and minimum activity in inpatient adolescents with Bipolar Disorders: Daily-Variability classification of actigraphy pattern with artificial intelligence by Farzan Vahedifard, Boris Birmaher, Satish Iyengar, Maria Wolfe, Lepore Brianna N, Mariah Chobany, Halimah Abdul-waalee, Greeshma Malgireddy, Jonathan A. Hart, Michele A. Bertocci, Rasim S. Diler

“…Activity was characterized into four 60-min maximum and minimum daily activity bins, automatically identified using a novel Python script. Feature engineering further described time-series data. 5193 days of data were split into training and testing sets. …”
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osl-dynamics, a toolbox for modeling fast dynamic brain activity by Chetan Gohil, Rukuang Huang, Evan Roberts, Mats WJ van Es, Andrew J Quinn, Diego Vidaurre, Mark W Woolrich

“…This includes oscillatory bursting and dynamic activity that span across networks of brain regions, all of which can occur on timescales of tens of milliseconds. …”
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Digitalization As a Socio-Economic Challenge: Modeling the Impact On the Level of Cybercrime Considering Socio-Economic, Technological and Institutional Factors by Hanna Yarovenko, Olha Horbachova, Roman Bylbas, Dmytro Latysh

“…The study is devoted to modelling (based on correlation analysis and OLS, Fixed Effects, Random Effects regression models) the impact of digitalisation on the level of cybercrime, taking into account socio-economic, technological and institutional factors based on panel data of 20 countries for the period 2015-2024. All stages of data processing, model building and visualization of results were implemented using the Python programming language. …”
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Protocol for automated graph-based clustering of single-cell RNA-seq data with application in mouse intestinal stem cells by Alexander L.E. Wang, Luca Zanella, Yosuke Ochiai, Leonardo Golinelli, Andrea Califano, Ermanno Malagola, Alessandro Vasciaveo

“…Optimized for the mouse jejunum, it can be adapted to all intestinal tracts, including the colon. The pipeline incorporates automated community detection of cell populations (ACDC), a time- and memory-efficient Python package for automated graph-based optimal clustering of large scRNA-seq datasets. …”
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Mapping Paleolacustrine Deposits with a UAV-borne Multispectral Camera: Implications for Future Drone Mapping on Mars by Gayantha R. Kodikara, Lindsay J. McHenry, Brian M. Hynek, Jackson K. Njau

“…During two field seasons (2023 January and July), we used a Phantom 4 Pro drone equipped with a MicaSense RedEdge-M multispectral camera, supplemented by in situ analysis using a TerraSpec Halo VNIR-SWIR spectrometer, to capture high-resolution imagery and spectral data. Almost all image processing and analysis, except for image mosaic and digital elevation model (DEM) generation, was performed using Python scripting. …”
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VANTAGE: An open‐source application for visualisation, navigation and analysis of video and ancillary time‐series data in bio‐logging studies by Stefan Schoombie, Tagen deWet, Stefan Britz, Andrew D. Lowther, W. Chris Oosthuizen

“…Once synchronised, VANTAGE allows for quick and easy navigation through the data to areas of interest, with behavioural observations labelled on one data type reflecting in all the data series. The labelled time‐series data can then be exported for further analyses (e.g., in machine learning applications). …”
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Analysis of the causes of improper medical decision-making in medical damage liability disputes in China: a text mining approach by Qian Xu, Yuwen Lyu, Xinzhu Zhang, Junrong Liu

“…Methods This study selected medical damage liability dispute cases from the China Judgments Online platform between 2018 and 2024. Python was used for data cleaning, Chinese word segmentation, and stop-word filtering. …”
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Fruit size prediction of tomato cultivars using machine learning algorithms by Masaaki Takahashi, Yasushi Kawasaki, Hiroki Naito, Hiroki Naito, Unseok Lee, Koichi Yoshi

“…When the estimated fruit size at cumulative temperatures of 300°C d, 500°C d, and 800°C d after anthesis were used as explanatory variables for Ridge Regression, the MAPE decreased for all cultivars: 10.1% for “CF Momotaro York,” 8.8% for “Zayda,” and 10.0% for “Adventure.” …”
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