Search Results - (( dynamic code analysis of python programs ) OR ( dynamik code analysis of python progress ))~

GenEvaPa: A generic evaporation package for modeling evaporation in molecular dynamics simulations

Authors: Harris, Bradley Liu, Gang-yu Faller, Roland

Subject Terms: Evaporation, Python script, Molecular dynamics, Mathematical Sciences, Physical Sciences, Information and Computing Sciences, Nuclear & Particles Physics

Access URL: https://escholarship.org/uc/item/3kr9q8rc

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

Accelerating Dynamically-Typed Language on Heterogeneous Platforms

Authors: Qunaibit, Mohaned

Subject Terms: Computer science, CUDA, GPU, OpenCL, Parallel, Python, Truffle

File Description: application/pdf

Access URL: https://escholarship.org/uc/item/6jw316ct
https://escholarship.org/content/qt6jw316ct/qt6jw316ct.pdf

Automatic and Dynamic Visualization of Process-Based Concurrent Programs

Authors: Farina, Daniel Augusto Rodrigues Campiolo, Rodrigo Rufino, José et al.

Contributors: Farina, Daniel Augusto Rodrigues Campiolo, Rodrigo Rufino, José et al.

Subject Terms: E-Learning tool, System programming, Concurrent programming, Code instrumentation, Inspector functions, JSON, Konva JS, Canvas, Python, React JS, BPMN

File Description: application/pdf

Availability: http://hdl.handle.net/10198/29615

A Q-analysis package for higher-order interactions analysis in Python and its application in network physiology.

Authors: Smirnov, Nikita Kurkin, Semen Hramov, Alexander E.

Source: Frontiers in Network Physiology; 2025, p1-21, 21p

SpotFlow: Tracking Method Calls and States at Runtime.

Authors: Hora, Andre

Source: ICSE: International Conference on Software Engineering; 2024, p35-39, 5p

Subject Terms: SOFTWARE engineering, COMPUTER software testing, COMPUTER software execution, COMPUTER software developers, PYTHON programming language

An empirical study of large language models for type and call graph analysis in Python and JavaScript.

Authors: Venkatesh, Ashwin Prasad Shivarpatna Sunil, Rose Sabu, Samkutty et al.

Source: Empirical Software Engineering; Dec2025, Vol. 30 Issue 6, p1-50, 50p

Security Evaluation of AI-Generated Code: A Comparative Study of ChatGPT, Copilot, And Gemini through Static and Dynamic Analysis.

Authors: Ceran, Onur

Source: Gazi Journal of Engineering Sciences (GJES) / Gazi Mühendislik Bilimleri Dergisi; Aug2025, Vol. 11 Issue 2, p304-320, 17p

Subject Terms: GENERATIVE artificial intelligence, COMPUTER software security, CHATGPT, COMPUTER software development, WEB-based user interfaces

A review of open-source energy system modeling tools.

Authors: Nguyen Binh Khanh Phuong Le Ngo Luong Ngoc Giap et al.

Source: International Journal of Advances in Applied Sciences (IJAAS); Jun2025, Vol. 14 Issue 2, p469-480, 12p

Subject Terms: RENEWABLE energy sources, SYSTEM analysis, ELECTRICAL load, PROGRAMMING languages, USER interfaces

Understanding employee advocacy through online reviews: a branding perspective.

Authors: Raj, Abishek Santhosh Rehman, Varisha

Source: Journal of Product & Brand Management; 2025, Vol. 34 Issue 8, p1258-1278, 21p

Subject Terms: BRANDING (Marketing), CONCEPTUAL models, SOCIOLOGY, EMPLOYEE loyalty, CORPORATE image, GROUP identity

Company/Entity: GLASSDOOR Inc.

A Multilanguage Static Analysis of Python Programs with Native C Extensions

Authors: Monat, Raphaël Ouadjaout, Abdelraouf Miné, Antoine et al.

Contributors: Monat, Raphaël Ouadjaout, Abdelraouf Miné, Antoine et al.

Source: Static Analysis Symposium (SAS) ; https://hal.science/hal-03313409 ; Static Analysis Symposium (SAS), Oct 2021, Chicago, Illinois, United States ; https://conf.researchr.org/home/sas-2021

Subject Terms: Multilanguage Analysis, Dynamic Programming Language, Abstract Interpretation, Static Analysis, Formal Methods, [INFO.INFO-PL]Computer Science [cs]/Programming Languages [cs.PL]

Subject Geographic: Chicago, Illinois, United States

Relation: info:eu-repo/grantAgreement//681393/EU/Modular Open Platform for Static Analysis/MOPSA

Availability: https://hal.science/hal-03313409
https://hal.science/hal-03313409v1/document
https://hal.science/hal-03313409v1/file/paper.pdf

NAS Parallel Benchmarks with Python: a performance and programming effort analysis focusing on GPUs.

Authors: Di Domenico, Daniel Lima, João V. F. Cavalheiro, Gerson G. H.

Source: Journal of Supercomputing; May2023, Vol. 79 Issue 8, p8890-8911, 22p

Subject Terms: PYTHON programming language, FORTRAN, C++

Unraveling Plant Recombination Patterns: Insights From Genome k‐mers.

Authors: Peñuela, Mauricio Riccio‐Rengifo, Camila Finke, Jorge et al.

Source: Plant Direct; Nov2025, Vol. 9 Issue 11, p1-18, 18p

Subject Terms: GENETIC recombination, PLANT breeding, NUCLEOTIDE sequence, MACHINE learning, MEIOSIS, GENETIC variation, GENOMES, PREDICTION models

Tracing the trajectory of literacy warrants: A trends study on the emergence of digital literacy and digital competency.

Authors: Esh, Manash Ghosh, Saptarshi

Source: Journal of Librarianship & Information Science; Sep2025, Vol. 57 Issue 3, p746-761, 16p

Subject Terms: DIGITAL literacy, INFORMATION technology, BIBLIOMETRICS, TREND analysis, DIGITAL learning, EDUCATIONAL technology

From LLMs to Randomness: Analyzing Program Input Efficacy With Resource and Language Metrics

Authors: Gavin Black Eric Yocam Varghese Mathew Vaidyan et al.

Source: IEEE Access, Vol 13, Pp 87928-87940 (2025)

Subject Terms: Software profiling, program behavior analysis, fuzzing techniques, resource usage metrics, large language models, anomaly detection, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/11006641/; https://doaj.org/toc/2169-3536

Access URL: https://doaj.org/article/f6b490482220407782fbde0ac691c808

Perspectives on the Application of Python and AlpLogo Programming Languages.

Alternate Title: Python və AlpLogo proqramlaşdırma dillərinin tətbiqi perspektivləri. (Azerbaijani)

Authors: Huseynova, Vusala

Source: Scientific Research / Elmi Tədqiqat; 2025, Vol. 5 Issue 5, p234-238, 6p

Subject Terms: INFORMATION technology, PROGRAMMING languages, CORE competencies, CRITICAL thinking, AGE groups

Discovery of the Inner Structure of Black Holes and the Transition of Information Across the Event Horizon

Authors: JALALI, SEYED RASOUL

Subject Terms: ψ–Hamzah equation, black holes, inner structure, event horizon, information paradox, quantum gravity, general relativity, fractional derivatives, fractal geometry, multiscale dynamics, ψ-signature, nonlocal memory, quantum coherence, Hawking radiation, information preservation, singularity resolution, Schwarzschild solution, Kerr solution, Reissner–Nordström, Einstein field equations, quantum tunneling, spacetime curvature, gravitational collapse, ψ-field oscillations, quantum membrane, ψ-barrier, ψ-fingerprint, fractal oscillatory structure, quantum processor, memory preservation, Hawking evaporation, non-thermal radiation, gravitational waves, quantum entanglement, holographic principle, ψ-information layers, fractional wave equation, Caputo derivatives, Grünwald–Letnikov scheme, fractal kernels, oscillatory horizon, quantum coherence fields, turbulence in ψ-fields, oscillatory shells, information recycling, unitarity preservation, ψ-time, memory-driven collapse, quantum tunneling across horizon, oscillatory fractal core, nonlinear dynamics, fractal decomposition, numerical simulation, Python modeling, fractional calculus code, Runge–Kutta ψ-integration, spectral analysis, Lyapunov stability, bifurcation diagrams, wavelet decomposition, Fourier transform, entropic delay index, fractal dimension spectrum, information echo strength, laboratory analog black holes, optical fiber simulation, Bose–Einstein condensates, nonlinear refractive index, Kerr medium, quantum optical black holes, phase shifts, non-Gaussian scattering, fractal laser pulses, ultrafast femtosecond lasers, time-fractal pulses, nonlinear self-focusing, chaotic light behavior, experimental verification, ψ-wave experiments, fractional filtering, multiscale resonance, ψ-information oscillations, ψ-horizon reflection, data analysis tools, pywt wavelet analysis, Fourier frequency comparison, spectral instability, ψ-fractal simulations, comparative metrics, RMS deviation reduction, Planck-scale modeling, sub-horizon turbulence, adaptive ψ-fields, energy-information functions, ψ-potential oscillations, nonlinear boundary conditions, information penetration parameter, Hawking evaporation reinterpretation, entropic phase transitions, information reflection, irreversibility of ψ-processes, quantum memory effect, ψ-nonlocal channels, ψ–multiverse links, ψ-topological resonance, ψ-causality loops, ψ-entropic dynamics, ψ-fractional entropy, memory-preserving algorithms, ψ-field holography, oscillatory attractors, ψ-chaos suppression, ψ-wave propagation, ψ-nonlinear integration, ψ-dimensional mapping, ψ–quantum geometry, quantum coherent oscillations, ψ–vacuum interactions, ψ-cosmology, holographic ψ-encoding, ψ–quantum fingerprints, ψ–wave echo, ψ-field resonance, ψ-dynamics of collapse, ψ-processing of information, ψ-recycling in black holes, ψ-dimensional gateways, ψ-parallel states, ψ-transitions across horizons, ψ-unification model, ψ–quantum gravity integration, ψ-thermodynamics, quantum gravitational field simulations, fractional-fractal models, ψ-differential operators, information preservation across scales, ψ-rewriting of data, ψ-nonlinear oscillatory core, ψ-resonance at event horizon, ψ-fractional oscillators, quantum fractal gravity, black hole entropy, ψ-fractional action, holographic ψ-models, ψ-multiscale oscillations, ψ-nonlinear fractal resonance, ψ-field oscillatory attractors, ψ-coherent tunneling, ψ-quantum decoherence suppression, ψ-dynamics of singularity, ψ-horizon memory layers, ψ-bifurcation stability, ψ-field memory operators, ψ-chaotic attractors, ψ-quantum processing node, ψ-information continuity, ψ-meaning preservation, ψ-event horizon as quantum barrier, ψ-multiscale resonance functions, ψ-fractal delay effects, ψ-wave memory layers, ψ-multidimensional quantum horizons, ψ-fractal experimental analogs, ψ-reproducible lab simulations, ψ-future quantum gravity path, ψ-informational preservation

Seismic Response Analysis Method of Damping Structures Based on the Inter-history Iteration and Secondary Development of ABAQUS

Authors: JIA Chuanguo QUAN Ziyu CHEN Xi et al.

Source: 工程科学与技术, Vol 57, Pp 51-60 (2025)

Subject Terms: seismic response, linearization, damping, ABAQUS, secondary development, Engineering (General). Civil engineering (General), TA1-2040, Hydraulic engineering, TC1-978

File Description: electronic resource

Relation: http://jsuese.scu.edu.cn/thesisDetails#10.12454/j.jsuese.202300685; https://doaj.org/toc/2096-3246

Access URL: https://doaj.org/article/140d1d8c7e2b4ab4b84fbd45f0347295

Principled and practical static analysis for Python: Weakest precondition inference of hyperparameter constraints.

Authors: Rak‐amnouykit, Ingkarat Milanova, Ana Baudart, Guillaume et al.

Source: Software: Practice & Experience; Mar2024, Vol. 54 Issue 3, p363-393, 31p

Subject Terms: PYTHONS, MACHINE learning, OPERATOR functions, HYPERGRAPHS

CDL Validation Study

Authors: University Clinic for Ophthalmology and Optometry- Salzburg

Source: Safety and Feasibility of the Cornea DomeLens Ocular Surface Imaging System
Ang M, Cai Y, MacPhee B, Sim DA, Keane PA, Sng CC, Egan CA, Tufail A, Larkin DF, Wilkins MR. Optical coherence tomography angiography and indocyanine green angiography for corneal vascularisation. Br J Ophthalmol. 2016 Nov;100(11):1557-1563. doi: 10.1136/bjophthalmol-2015-307706. Epub 2016 Jan 28.
Steger B, Romano V, Kaye SB. Corneal Indocyanine Green Angiography to Guide Medical and Surgical Management of Corneal Neovascularization. Cornea. 2016 Jan;35(1):41-5. doi: 10.1097/ICO.0000000000000683.
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Bron AJ, Evans VE, Smith JA. Grading of corneal and conjunctival staining in the context of other dry eye tests. Cornea. 2003 Oct;22(7):640-50. doi: 10.1097/00003226-200310000-00008.
Guthoff RF, Baudouin C, Stave J. Atlas of Confocal Laser Scanning In-Vivo Microscopy in Ophthalmology. Springer; 2007
Krachmer JH, Mannis MJ, Holland EJ. Cornea. In: Vol I. 3rd Edition. Mosby Elsevier; 2011.
Steger B, Romano V, Jesacher A, et al. Ocular Surface Photography 2.0 -Curved Object Plane For Corneal Imaging. Appl Opt. in press 2017
Efron N. Grading scales for contact lens complications. Ophthalmic Physiol Opt. 1998 Mar;18(2):182-6. doi: 10.1016/s0275-5408(97)00066-5.