Aqueous foams in microgravity, measuring bubble sizes by Pasquet, Marina, Galvani, Nicolo, Pitois, Olivier, Cohen-Addad, Sylvie, Höhler, Reinhard, Chieco, Anthony T., Dillavou, Sam, Hanlan, Jesse M., Durian, Douglas J., Rio, Emmanuelle, Salonen, Anniina, Langevin, Dominique

“…Extracting the bubble size distribution from images of a foam surface is difficult so we have used three different procedures: manual analysis, automatic analysis with a customized Python script and machine learning analysis. Once various pitfalls were identified and taken into account, all the three procedures yield identical results within error bars. …”
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Factors Influencing Continued Usage of Intracavernosal Injections for Erectile Dysfunction: A Retrospective Analysis by Braian Rene Ledesma, Jason Codrington, David Velasquez, Alexandra Aponte Varnum, Joshua White, Greeshma Venigalla, Farah Rahman, Katherine Campbell, Alexander Weber, Max Sandler, Ranjith Ramasamy

“…Conclusions: Older age, prior history of prostate cancer treatment, and men who preferred to speak Spanish were all identified as factors potentially associated with reduced continuation of intracavernosal injection therapy for erectile dysfunction. …”

Application Of ArtifiCial Intelligence in E-Governance: A Comparative Study of Supervised Machine Learning and Ensemble Learning Algorithms on Crime Prediction. by Niyonzima, Ivan, Muhaise, Hussein, Akankwasa, Aureri

“…We used an accuracy metric to measure the performance of the algorithms. Python 3 was used in all the experiments using windows 10 laptop with 8GB RAM and 2.0GHZ processor. …”
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Study of the interval width of features for improving forecasting efficiency of the transport flow intensity by I. N. Pugachev, N. G. Sheshera, D. Yе. Grigorov

“…New algorithmic structures were created using the Python programming language, in which the established feature interval ranges were sequentially compared in such a way as to process all possible combinations. …”
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The presence of multiple variants of IncF plasmid alleles in a single genome sequence can hinder accurate replicon sequence typing using in silico pMLST tools by Michaela Ruzickova, Jana Palkovicova, Ivo Papousek, Max L. Cummins, Steven P. Djordjevic, Monika Dolejska

“…When multiple allele variants occurred in a single bacterial genome, the Python and web versions of the tool randomly selected one allele to report, leading to limited and inaccurate ST identification. …”
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PhyloFunc: phylogeny-informed functional distance as a new ecological metric for metaproteomic data analysis by Luman Wang, Caitlin M. A. Simopoulos, Joeselle M. Serrana, Zhibin Ning, Yutong Li, Boyan Sun, Jinhui Yuan, Daniel Figeys, Leyuan Li

“…We provide PhyloFunc as an open-source Python package (available at https://pypi.org/project/phylofunc/ ), enabling efficient calculation of functional beta-diversity distances between a pair of samples or the generation of a distance matrix for all samples within a dataset. …”
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Academic Libraries can Expand Institutional Repository Holdings with Gold Open Access Publications Collected Through Web Scraping by Kristy Hancock

“…MDPI is an open access publisher of over 400 journals spanning all disciplines. All articles published in MDPI journals are made freely and immediately accessible on the MDPI website. …”
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Association between the HLA-A, HLA-B, HLA-C and HLA-DRB1 gene alleles and Sjögren's syndrome with anti-Ro/SSA and anti-La/SSB autoantibodies production by I. A. Guseva, M. D. Chanyshev, A. V. Torgashina, N. V. Vlasenko, Yu. I. Khvan, E. Yu. Samarkina, M. V. Shabatina, K. F. Khafizov

“…Statistical data processing, including comparison of the frequencies of HLA alleles in the group of patients with SS/SD and in the control group, was performed in the Python software environment using the Numpy, Pandas and scikit-learn libraries.Results and discussion. …”
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Easy, fast and reproducible Stochastic Cellular Automata with chouca by Génin, Alexandre, Dupont, Guillaume, Valencia, Daniel, Zucconi, Mauro, Ávila-Thieme, M. Isidora, Navarrete, Sergio A., Wieters, Evie A.

“…To provide a unifying, well-tested technical basis to this class of models and facilitate their implementation, we built chouca, an R package that translates definitions of SCA models into compiled code, and runs simulations in an efficient way. chouca supports SCA based on rectangular grids where transition probabilities are defined for each cell, with performance typically two to three orders of magnitude above typical implementations in interpreted languages (e.g. R, Python), all while maintaining an intuitive interface in the R environment. …”
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Using a deterministic matching computer routine to identify hospital episodes in a Brazilian de-identified administrative database for the analysis of obstetrics hospitalisations by Claudia Medina Coeli, Rosa Maria Soares Madeira Domingues, Lana Meijinhos, Daniela Medina Coeli Bastos, Rejane Sobrino Pinheiro, Valeria Saraceni, Marcos Augusto Bastos Dias, Natália Santana Paiva, Kenneth Camargo Jr

“…We processed this database by combining C++ and Python routines to create a hospital episodes database. …”
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Comparative analysis of the effectiveness of BPG, AGU, AVIF and HEIF compression methods for medical images corrupted by noise of two types by Viktoriia Naumenko, Volodymyr Lukin, Vitalii Naumenko, Nadiia Kozhemiakina, Mykyta Solodovnyk

“…The employed methods encompass image quality assessment techniques employing MSE, PSNR, and MSSIM metrics, as well as software modeling in Python without using the built-in Poisson noise generator. …”
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Pulsed Blue Light and Phage Therapy: A Novel Synergistic Bactericide by Amit Rimon, Jonathan Belin, Ortal Yerushalmy, Yonatan Eavri, Anatoly Shapochnikov, Shunit Coppenhagen-Glazer, Ronen Hazan, Lilach Gavish

“…After excluding direct PBL effects on phage titer or activity, we assessed effectiveness on planktonic cultures using growth curve analysis (via <i>growth_curve_outcomes</i>, a newly developed, Python-based tool available on GitHub) , CFU, and PFU. …”
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A Predictive Model of Cardiovascular Aging by Clinical and Immunological Markers Using Machine Learning by Madina Suleimenova, Kuat Abzaliyev, Madina Mansurova, Symbat Abzaliyeva, Almagul Kurmanova, Guzel Tokhtakulinova, Akbota Bugibayeva, Diana Sundetova, Merei Abdykassymova, Ulzhas Sagalbayeva, Raushan Bitemirova, Zhadyra Yerkin

“…R (version 4.3.0) and specialized libraries for correlation matrix construction and visualization were used for data analysis, and Python (version 3.11.11) was used for model development and training.…”
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Feasibility of a nurse-led, mHealth-assisted, and team-based collaborative care model for heart failure care in India: Findings from a multi-stakeholder qualitative study [version... by Sunu C. Thomas, Jose Prinu, Kandagathuparambil Neenumol, Somanathan Chozhakkat, Meera R. Pillai, Sunil Pisharody, A. Mohamed Iliyas, MS Jyothi Vijay, Panniyammakal Jeemon, Sivadasanpillai Harikrishnan, Susanna Chacko, Sanjay Ganapathi

“…Data were analysed using Python QualCoder version 2.2. We used a framework method for the analysis of data. …”
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Prediction of Acute Kidney Injury for Critically Ill Cardiogenic Shock Patients with Machine Learning Algorithms by Zhang X, Xiong Y, Liu H, Liu Q, Chen S

“…ROC curves were generated via python software to assess the overall performance of machine learning algorithms and the SHAP analysis was adopted to reveal the impact of prediction for each feature.Results: The ensemble model exhibited the best predictive ability (AUC:0.91, 95% CI, 0.88– 0.94), followed by random forest (AUC:0.90, 95% CI, 0.86– 0.94) and XGBoost (AUC:0.89, 95% CI, 0.84– 0.92). …”
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Visual communication of public health data: a scoping review by Michael Arthur Ofori, Stella Lartey, Polina Durneva, Niharika Jha, Nidhi Mittal, Shongkour Roy, Zebunnesa Zeba, Stella Chirwa, Nichole Saulsberry-Scarboro, Michelle Taylor, Ashish Joshi

“…These visuals were displayed employing different programming and statistical tools and libraries like R, Python, Power BI, Tableau, ArcGIS, and custom web-based applications. …”
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Integrative radiomics of intra- and peri-tumoral features for enhanced risk prediction in thymic tumors: a multimodal analysis of tumor microenvironment contributions by Liang zhu, Jiamin Li, Xuefeng Wang, Yan He, Siyuan Li, Shuyan He, Biao Deng

“…The data were sourced from patients treated at the Affiliated Hospital of Guangdong Medical University between 2015 and 2023, with all imaging obtained through preoperative CT scans. …”
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Sociological Analysis of Gender Differences in Suicide Ideation on Instagram: A Social Network Analysis Approach Using Big Data by Somayeh Mirzaee, Akbar Aliverdinia

“…During data collection, the study utilized the Dataak platform, Python, and Ninjagram software. For data cleaning, Excel was employed, while Gephi and R software were used for data analysis to calculate network variables. …”
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Antibiogram use on dairy cattle for bovine respiratory disease: Factors associated with bacterial pathogen identification and prediction of bacterial recovery using machine learnin... by Hugo F. Monteiro, Alejandro Hoyos-Jaramillo, Adriana Garzon, Heather M. Fritz, Craig C. Miramontes, Isabelle M. Matos, Terry W. Lehenbauer, Sharif Aly, Fabio S. Lima, Richard V. Pereira

“…Machine learning models with cross-validation showed a weak ability to distinguish positive from negative cases when using age, season, and farm for all scenarios according to F1-scores and receiver operating characteristic analysis. …”
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Data of vegetation structure metrics retrieved from airborne laser scanning surveys for European demonstration sitesZenodo by W. Daniel Kissling, Wessel Mulder, Jinhu Wang, Yifang Shi

“…Additionally, the Jupyter Notebooks with Python code for executing the Laserfarm workflow are available to facilitate reproducibility and further computational applications. …”
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