Search Results - (( (stavebnaeet OR state) python code analysis ) OR ( (stavebne OR stateee) python code analysis ))

Quantitative virus infectivity titration and dose-response analyses using cell-culture based methods and python code-assisted data analysis

Authors: Henna-Maarit Kyröläinen Iiris Mustonen Juho Enäkoski et al.

Source: iScience, Vol 29, Iss 3, Pp 115018- (2026)

Subject Terms: virology, Science

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2589004226003937; https://doaj.org/toc/2589-0042

Access URL: https://doaj.org/article/66ab127160aa4b968be933c3101d8f30

GPT-4.1 Sets the Standard in Automated Experiment Design Using Novel Python Libraries.

Authors: Fachada, Nuno Fernandes, Daniel Fernandes, Carlos M. et al.

Source: Future Internet. Sep2025, Vol. 17 Issue 9, p412. 28p.

Subject Terms: *Experimental design, *Quantitative research, Language models, Python programming language, Generative pre-trained transformers, Benchmark problems (Computer science), Code generators

TESTING THE DYNAMIC EXECUTION OF PYTHON PROGRAM CODE DURING THE CERTIFICATION TESTING (DEVELOPMENT) STAGE IN THE CERTIFICATION SYSTEM OF THE MINISTRY OF DEFENSE OF RUSSIA

Authors: V.V. Samarov

Source: Надежность и качество сложных систем, Iss 2 (2023)

Subject Terms: certification tests of software products, dynamic code analysis of python programs, control of completeness and lack of redundancy at the level of files and functional objects, code profiling for dynamic analysis, Motor vehicles. Aeronautics. Astronautics, TL1-4050

File Description: electronic resource

Relation: https://doaj.org/toc/2307-4205

Access URL: https://doaj.org/article/17c480a498a44ff5b1681dc8eb177136

A Bayesian statistical method to estimate the climatology of extreme temperature under multiple scenarios: the ANKIALE package.

Authors: Robin, Yoann Vrac, Mathieu Ribes, Aurélien et al.

Source: Geoscientific Model Development. 2026, Vol. 19 Issue 6, p2349-2372. 24p.

Subject Terms: *BAYESIAN analysis, *CLIMATE extremes, *CLIMATE change, *EXTREME weather, *PYTHON programming language, *MARKOV chain Monte Carlo, *ATMOSPHERIC models

Geographic Terms: EUROPE

Numerical analysis of recovery stage with disappearing polymer layer RR-P3HT for the detection of DMMP based on diffusion equations.

Authors: Hejczyk, Tomasz Wrotniak, Jarosław Powroźnik, Paulina et al.

Source: International Journal of Electronics & Telecommunications. 2025, Vol. 71 Issue 4, p1-7. 7p.

Subject Terms: *NUMERICAL analysis, *SURFACE acoustic wave sensors, *ELECTRIC conductivity, *REACTION-diffusion equations, *GAS detectors, *POLYMERIC membranes, *SURFACE interactions

Static Analysis of Corpus of Source Codes of Python Applications.

Authors: Kapustin, D. A. Shvyrov, V. V. Shulika, T. I.

Source: Programming & Computer Software. Aug2023, Vol. 49 Issue 4, p302-309. 8p.

Subject Terms: *SOURCE code, *PYTHONS, *PYTHON programming language, *CORPORA, *ROBBERS

Python code analysis and figures - intensity zones

Authors: Fredrik Mentzoni

Subject Terms: Sports science and exercise not elsewhere classified, sports scienes

Availability: https://doi.org/10.6084/m9.figshare.28562558.v1
https://figshare.com/articles/software/Python_code_analysis_and_figures_-_intensity_zones/28562558

Smart Compiler Assistant: An AST based Python Code Analysis

Authors: Aneesh, Ch Saumik, Gembali Varun, Kvv et al.

Source: 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) ; page 1-6

Availability: https://doi.org/10.1109/icccnt61001.2024.10724220
http://xplorestaging.ieee.org/ielx8/10723818/10723316/10724220.pdf?arnumber=10724220

Analysis of accretion disc structure and stability using open code for vertical structure.

Authors: Tavleev, A S Lipunova, G V Malanchev, K L

Source: Monthly Notices of the Royal Astronomical Society. Sep2023, Vol. 524 Issue 3, p3647-3661. 15p.

Subject Terms: *ACCRETION disks, *RADIATION, *COMPACT discs, *ACCRETION (Astrophysics), *SUPERMASSIVE black holes, *EQUATIONS of state, *STELLAR photospheres

Programming models to support data science workflows

Authors: Ramón-Cortés Vilarrodona, Cristián

Contributors: University/Department: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors

Thesis Advisors: Badia Sala, Rosa M. (Rosa Maria), Ejarque Artigas, Jorge

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Distributed computing, High-performance computing, Data science pipelines, Task-ba workflows, Dataflows, Containers (Computer sicience), COMPSs, PyCOMPSs, AutoParallel, Docker, Àrees temàtiques de la UPC::Informàtica

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/669728
https://dx.doi.org/10.5821/dissertation-2117-330142

Modelling a Lab-Scale Continuous Flow Aerobic Granular Sludge Reactor: Optimisation Pathways for Scale-Up.

Authors: Siney, Melissa Salehi, Reza Hassan, Mohamed G. et al.

Source: Water (20734441); Jul2025, Vol. 17 Issue 14, p2131, 37p

Subject Terms: CONTINUOUS flow reactors, MATHEMATICAL models, COMPUTATIONAL fluid dynamics, WASTEWATER treatment, SENSITIVITY analysis, CHEMICAL oxygen demand, CHEMICAL reactors

BatAnalysis - A Comprehensive Python Pipeline for Swift BAT Survey Analysis

Authors: Tyler Parsotan Sibasish Laha David M. Palmer et al.

Source: The Astrophysical Journal. 953(2)

Subject Terms: Space Radiation

Access URL: https://ntrs.nasa.gov/citations/20230009620

MLtool Python Code

Authors: Nikolai A Zarkevich Nishan Senanayake Joshua Stuckner et al.

Subject Terms: Computer Programming and Software

Relation: MLtool: Universal Supervised Machine Learning Tool to Model Tabulated Data

Access URL: https://ntrs.nasa.gov/citations/20230005458

An algorithm for automated extraction of resonance parameters from the stabilization method.

Authors: Langner, Johanna Sadhukhan, Anjan Saha, Jayanta K. et al.

Source: Computer Physics Communications. Nov2025, Vol. 316, pN.PAG-N.PAG. 1p.

Subject Terms: *RESONANCE, *DENSITY of states, *STATISTICAL accuracy, *EIGENANALYSIS, *PYTHON programming language, *ALGORITHMS, *DATA extraction

Risk Model for Metastasis Detection of Neuroblastoma (NB)

Authors: Shenzhen Children's Hospital The Children's Hospital of Zhejiang University School of Medicine Juan Ma, Associate Chief Physician of the Clinical Laboratory Department

Contributors: Shenzhen Children's Hospital The Children's Hospital of Zhejiang University School of Medicine Juan Ma, Associate Chief Physician of the Clinical Laboratory Department

Source: Bone Marrow Cytology-based Artificial Intelligence Model for Detection and Prognosis of Neuroblastoma

PLangRec: Deep-learning model to predict the programming language from a single line of code.

Authors: Rodriguez-Prieto, Oscar Pato, Alejandro Ortin, Francisco

Source: Future Generation Computer Systems. May2025, Vol. 166, pN.PAG-N.PAG. 1p.

Subject Terms: *NATURAL language processing, *PROGRAMMING languages, DEEP learning, WEB-based user interfaces, SOURCE code

Rapid Development of Interferometric Software Using MIRIAD and Python

Authors: Williams, Peter K. G. Law, Casey J. Bower, Geoffrey C.

Source: Publications of the Astronomical Society of the Pacific, 2012 . 124(916), 624-636.

Access URL: https://www.jstor.org/stable/10.1086/666604

Research on steady-state behavior of natural circulation with internally heated fluids of liquid-fueled molten salt reactor.

Authors: Cao, Ying Wan, Weishi Zhou, Chong

Source: Annals of Nuclear Energy. Jun2025, Vol. 216, pN.PAG-N.PAG. 1p.

Subject Terms: *SOLID fuel reactors, *MOLTEN salt reactors, *DIMENSIONLESS numbers, *WORKING fluids, *HEAT sinks

ChatGPT for Univariate Statistics: Validation of AI-Assisted Data Analysis in Healthcare Research.

Authors: Ruta, Michael R Gaidici, Tony Irwin, Chase et al.

Source: Journal of Medical Internet Research. 2025, Vol. 27, p1-9. 9p.

Subject Terms: *Data analysis, *Data management, ChatGPT, Inferential statistics, Medical care research, Statistical software, Univariate analysis, Descriptive statistics

Company/Entity: OpenAI Inc.

CLAVE: A deep learning model for source code authorship verification with contrastive learning and transformer encoders.

Authors: Álvarez-Fidalgo, David Ortin, Francisco

Source: Information Processing & Management. May2025, Vol. 62 Issue 3, pN.PAG-N.PAG. 1p.

Subject Terms: *Transformer models, Language models, Source code, Dispute resolution, Python programming language