CombinatorixPy: Advancing mixture descriptors for computational chemistry by Rahil Ashtari Mahini, Gerardo Casanola-Martin, Stephen Szwiec, Simone A. Ludwig, Bakhtiyor Rasulev

“…A Python package was developed to calculate mixture descriptors based on this arithmetic equation, which can be used in machine learning-based QSAR and QSPR models.…”
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Improvement and Validation of a Smart Road Traffic Noise Model Based on Vehicles Tracking Using Image Recognition: EAgLE 3.0 by Claudio Guarnaccia, Ulysse Catherin, Aurora Mascolo, Domenico Rossi

“…Noise coming from road traffic represents a major contributor to the high levels of noise to which people are continuously exposed—especially in urban areas—throughout all of Europe. Since it represents a very detrimental pollutant, the assessment of such noise is an important procedure. …”
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Development of a standard method for primary monitoring of exposure to environmental radiation by Edson Luiz Pontes Perger, Rodrigo Sanchez Giarola, Izabella Santos Silva Lemes, Gabriel Augusto Arruda, Marco Antônio Rodrigues Fernandes, Alexandre Dal Pai

“…All living things are constantly exposed to background radiation. …”
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A Bayesian framework for inferring regional and global change from stratigraphic proxy records (StratMC v1.0) by S. Edmonsond, B. Dyer

“…The model is available as an open-source Python package (StratMC), which provides a flexible and user-friendly framework for studying different times and proxies recorded in sediments.…”
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Algorithm for the synthesis of equations of thermal conductivity of lithium-ion accumulator for finite volumes during division by E. A. Punt

“…The proposed procedure for forming a system of differential equations is implemented in Python, the simulation results have shown the adequacy of the model and the efficiency of the proposed method.…”
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Development of a Model of Segmentation of the Capillaries of the Ocular Surface Based on Images from an Ophthalmological Slit Lamp Using Artificial Intelligence Tools by V. V. Neroev, A. A. Bragin, O. V. Zaytseva, E. V. Yani

“…Purpose: to develop a model of segmentation of the capillaries of the ocular surface based on images from an ophthalmic slit lamp using AI tools using Python.Materials and methods. The study used a dataset (700 eyes), which is publicly available on the Internet and includes photos from an ophthalmological slit lamp, marked up manually. …”
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Tracing the complete journey of patient compliance in obstructive sleep apnea management: a 12-year retrospective study on diagnosis, device adherence, and treatment outcomes by Fatema Abdulkarim, Esra’a Alshawamreh, Hassan Alhariri

“…Data were analyzed using Python’s Pandas library to evaluate compliance and treatment efficacy. …”
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Evaluating Urban Park Utility in Seoul: A Distance-to-Area Discounting Model by Gyoungju Lee, Youngeun Kang

“…The methodology was implemented using a Python-based v.3.12.9 geospatial workflow with network-based distance calculations between 18,614 census block groups and all urban parks in Seoul. …”
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Protocol for open-source automated universal high-content multiplex fluorescence for RNA in situ analysis by Jean Descarpentrie, Florian Bernard, Wilfried Souleyreau, Lucie Brisson, Thomas Mathivet, Ioannis S. Pateras, Océane C.B. Martin, Maria Lopez Chiloeches, Teresa Frisan

“…We describe procedures for storing raw data, quality control images, and the use of a Python app to summarize all the results in one spreadsheet detailing the number of single or co-positive cells. : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.…”
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A novel mathematical framework for pedigree-based calculation of Y-STR match probabilities by Amke Caliebe, Dion Zandstra, Arwin Ralf, Manfred Kayser, Michael Krawczak

“…Extensive testing with elementary pedigrees of different structure and complexity confirmed that both, the framework and its Python-based software implementation yield match probability estimates that approximate well the correct analytical results, depending upon the number of simulations performed. …”
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Machine-Learning-Powered Information Systems: A Systematic Literature Review for Developing Multi-Objective Healthcare Management by Maryam Bagheri, Mohsen Bagheritabar, Sohila Alizadeh, Mohammad (Sam) Salemizadeh Parizi, Parisa Matoufinia, Yang Luo

“…Each category was analyzed depending on significant variables, uncovering that adaptability is the most effective parameter throughout all models. In addition, the majority of papers were published in 2022 and 2023, with MDPI as the leading publisher and Python as the most prevalent programming language. …”
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Bayesian Model Reconstruction Based on Spectral Line Observations by Frederik De Ceuster, Thomas Ceulemans, Leen Decin, Taïssa Danilovich, Jeremy Yates

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Using machine learning to study the population life quality: methodological aspects by E. V. Shchekotin, В. Л. Гойко, P. A. Basina, B. B. Bakulin

“…The article consistently reviews all stages of the machine learning algorithms application to assess the life quality of the population of the regions of the Russian Federation and the issues of improving neural network accuracy. …”
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“intelligent Read Across (iRA)”- A tool for read-across-based toxicity prediction of nanoparticles by Souvik Pore, Kunal Roy

“…In this research, we introduce a Python-based tool called “intelligent Read Across (iRA),” which makes predictions using similarity-based read-across algorithms. …”
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RESEARCH OF TRENDS IN DEMAND FOR STEM SKILLS IN THE ECONOMIC SECTOR by Wen Zhang

“…This is because digitalization has covered all spheres of public life – from financial services to production and public administration to social communications. …”
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Preliminary Design of Regional Aircraft—Integration of a Fuel Cell-Electric Energy Network in SUAVE by Jakob Schlittenhardt, Yannik Freund, Jonas Mangold, Richard Hanke-Rauschenbach, Andreas Strohmayer

“…The analysis uses an enhanced version of the <i>Stanford University Aerospace Vehicle Environment (SUAVE)</i>, a Python-based aircraft design environment that allows for novel energy network architectures. …”
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Biopsychosocial approach to sports injury: a systematic review and exploration of knowledge structure by Moonjung Bae

“…All selected studies were published after 2021, reflecting recent research trends. …”
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Semantic Classification of Car Styling Using Machine Learning by Hung-Hsiang Wang, Yen-Ting Lu

“…Seven of the ten SUVs were correctly classified and the rest were not. All of the participants agreed that the predictions were satisfactory. …”
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Novel Computer Software for Interpolation and Approximation of Ravine and Stiff Digital Dependencies Using Root-Polynomoal and Root-Fractional-Rational Functions by Igor Melnyk, Mykhailo Skrypka, Alina Pochynok, Olga Demyanchenko

“…In general, the proposed algorithms are very universal and can be easily adapted to any complex problems. All the proposed methods are implemented and tested in the newly developed computer software created in the Python programming language.…”
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Automated Detection and Counting of <i>Gossypium barbadense</i> Fruits in Peruvian Crops Using Convolutional Neural Networks by Juan Ballena-Ruiz, Juan Arcila-Diaz, Victor Tuesta-Monteza

“…The dataset was split into 70% for training, 15% for validation, and 15% for testing, and all models were trained over 100 epochs with a batch size of 8. …”
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