Search Results - (( (statene OR state) python code analysis ) OR ( (stavebna OR stateyninit) python code analysis ))

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

Meta-designing quantum experiments with language models.

Authors: Arlt, Sören Duan, Haonan Li, Felix et al.

Source: Nature Machine Intelligence; Feb2026, Vol. 8 Issue 2, p148-157, 10p

Quantifying cross-language code reuse via function-level clone detection

Authors: Yi Rong Yan Zhou

Source: Journal of King Saud University: Computer and Information Sciences, Vol 37, Iss 10, Pp 1-20 (2025)

Subject Terms: Natural language processing, Code reuse detection, Function-level clone analysis, Java and python source code, Academic plagiarism detection, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://doaj.org/toc/1319-1578; https://doaj.org/toc/2213-1248

Access URL: https://doaj.org/article/0e8d85656442482785bc981b326c25a4

A Study of Large Language Models in Detecting Python Code Violations

Authors: Hekar A. Mohammed Salih Qusay I. Sarhan

Source: ARO-The Scientific Journal of Koya University, Vol 13, Iss 2 (2025)

Subject Terms: Large language models, Software metrics, Software quality, Static code analysis, Technology, Science

File Description: electronic resource

Relation: https://aro.koyauniversity.org/index.php/aro/article/view/2395; https://doaj.org/toc/2410-9355; https://doaj.org/toc/2307-549X

Access URL: https://doaj.org/article/a66cf05353b54e19a03b46c0b089d1fc

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

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 the positive and negative interaction between mood and thermal sensation in the built environment using a combined Markov Chain Monte Carlo algorithm and Morris method.

Authors: Özbey, Mehmet Furkan Turhan, Cihan

Source: Building Services Engineering Research & Technology. Nov2025, Vol. 46 Issue 6, p737-752. 16p.

Subject Terms: *MARKOV chain Monte Carlo, MOOD (Psychology), THERMAL comfort, SENSITIVITY analysis, PSYCHOLOGICAL factors, ENVIRONMENTAL psychology

Software Design for Python Programmers : Principles and Patterns

Authors: Ronald Mak

Resource Type: eBook.

Categories: COMPUTERS / Languages / Python, COMPUTERS / Programming / Object Oriented, COMPUTERS / Software Development & Engineering / Systems Analysis & Design

MoveApps: a serverless no-code analysis platform for animal tracking data.

Authors: Kölzsch, Andrea Davidson, Sarah C. Gauggel, Dominik et al.

Source: Movement Ecology. 7/18/2022, Vol. 10 Issue 1, p1-12. 12p.

Analyzing LLM-Generated Code According to Four ISO/IEC 5055:2021 Categories

Authors: Rasmus Krebs Somnath Mazumdar

Source: IEEE Access, Vol 13, Pp 202482-202499 (2025)

Subject Terms: Analysis, ISO, LLMs, maintainability, performance, Python, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/11269792/; https://doaj.org/toc/2169-3536

Access URL: https://doaj.org/article/3faae1da4e0b47beb1e1ac9da1ee6b78

DeVAIC: A tool for security assessment of AI-generated code.

Authors: Cotroneo, Domenico De Luca, Roberta Liguori, Pietro

Source: Information & Software Technology. Jan2025, Vol. 177, pN.PAG-N.PAG. 1p.

Subject Terms: *COMPUTER software development, *ARTIFICIAL intelligence, *SECURITY management, CODE generators, SOURCE code

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

Numerical Analyses of a SAW Gas Sensor in a Non-Steady State

Authors: T. Hejczyk J. Wrotniak P. Powroźnik et al.

Source: International Journal of Electronics and Telecommunications, Vol vol. 71, Iss No 4 (2025)

Subject Terms: gas sensors, numerical modeling, ingebrigtsen’s formula, dmmp, (rr)-p3ht, acoustoelectric analysis (naa), Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Telecommunication, TK5101-6720

File Description: electronic resource

Relation: https://journals.pan.pl/Content/136909/6-5168-Hejczyk_sk.pdf; https://doaj.org/toc/2081-8491; https://doaj.org/toc/2300-1933

Access URL: https://doaj.org/article/c9d170a1144c4d9f86026066ca8dbfea

Serenity: Library Based Python Code Analysis for Code Completion and Automated Machine Learning

Authors: Zhao, Wenting Abdelaziz, Ibrahim Dolby, Julian et al.

Subject Terms: FOS: Computer and information sciences, Computer Science - Programming Languages, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Programming Languages (cs.PL)

Access URL: http://arxiv.org/abs/2301.05108

What Happened Before the Big Bang? – Quantum Simulation of the Pre-Big Bang Universe via the ψ–Hamzah Equation

Authors: JALALI, SEYED RASOUL

Subject Terms: Hamzah Equation, Pre-Big Bang, ψ–Hamzah Model, Intelligent entropy, Absolute time, Consciousness field, Primordial Consciousness, Quantum simulation, Quantum gravity, Pre-cosmic field, Oscillatory entropy, Intelligent oscillations, Negative temperature, Negative Kelvin state, Pre-Bang equilibrium, Collapse of unstable equilibrium, Planck time, Beyond Planck, Fractal derivatives, Fractional calculus, Consciousness as dimension, 12th dimension, Encrypted equation, Irreversible structure, Conscious entropy, Dark energy memory, Quantum fluctuations, Entropy mapping, Power spectrum, Fourier analysis, Spectral entropy, Quantum cosmology, Pre-Planck state, Entropy before Planck, ψ collapse, Conscious origin, Quantum information field, Numerical simulation, Python code, TensorFlow Quantum, Clingo ASP, Dask MPI, FFT entropy spectrum, Inflaton field, Quantum_gravity_effect, Energy_density function, Cosmic_evolution function, solve_ivp integration, Entropy growth, DNA-like spectrum, Consciousness oscillations, Quantum turbulence, Pre-time domain, Intelligent code, Language of creation, Encrypted structure, Consciousness entropy growth, Pre-Bang oscillatory patterns, Entropy inversion, Conscious equilibrium collapse, Collapse to Big Bang, Δt = 2.6 × 10⁻⁴⁴ s, Shorter than Planck, CMB entropy validation, Beyond relativity, Beyond Hawking, Beyond string theory, Beyond M-theory, Consciousness simulation, Ψ AI, Psi-AI, Encrypted AI, Encrypted simulation, Conscious algorithms, Pre-cosmic intelligence, Multiverse extension, Parallel universes, Consciousness rings, Intelligent multiverse, Quantum coherence, Quantum memory, Information field, Conscious topology, Absolute intelligence, Pre-cosmic encryption, Hamzah time, Hamzah vs Planck, Hamzah vs Einstein, Hamzah vs Hawking, Hamzah vs String theory, Hamzah vs M-Theory, Consciousness as physics, Pre-physical order, Intelligent entropy inversion, Collapse to creation, Encrypted cosmology, Conscious oscillatory code, Pre-time simulation, Simulation GUI, Numerical reproducibility, Cosmic entropy graphs, Inflaton oscillations, Quantum fluctuation spectra, Intelligent cosmogenesis, Non-random entropy, Pre-cosmic data, Primordial order, Non-singularity model, Breaking Planck limit, Post-quantum physics, Beyond singularities, Intelligent mathematics, Multi-layer derivatives, Conscious Lagrangian, Quantum informational collapse, Absolute entropy collapse, Human analogy, 12D cosmology, Intelligent cosmology, Conscious order, Intelligent mathematics, Conscious entropy tensor, Pre-physical intelligence, Collapse-driven creation, Post-singularity physics, Encrypted derivatives, Pre-cosmic resonance, Intelligent turbulence, Oscillatory resonance, Entropic instability, Entropic decoherence, Collapse of symmetry, Emergence of spacetime, Creation as instability, Quantum informational entropy, Pre-birth order, Intelligent genesis, Scientific prophecy, Conscious cosmogenesis, Ψ encrypted model, ψ-based cosmology, Conscious-quantum integration, Conscious-physics synthesis, Future civilisational model, Global governance with Hamzah, Predictive economics entropy, Conscious medicine, Ψ-DNA, Conscious genetics, Cosmic engineering, Pre-time analysis, Universal code, Intelligent universe, Conscious field encryption, Absolute oscillations, Consciousness explosion, Information shock, Birth of spacetime, Intelligent oscillatory collapse, Conscious instability, Quantum entropy spectrum, Intelligent equations, Living entropy, Conscious creation machine

Hands-on 3: Introduction to developing Python computational pipelines for predictive machine learning modelling of livestock data.

Authors: Tulpan, Dan¹

Source: Journal of Animal Science. 2024 Supplement, Vol. 102, p68-68. 1/4p.

Subjects: Machine learning, Personal computers, Animal science, Data modeling, Python programming language

Cell Intelligence at the Time of Death: Self-Quenching or Self-Transmission?

Authors: JALALI, SEYED RASOUL

Subject Terms: ψ–Hamzah model, cellular death, self-quenching, self-transmission, conscious death, apoptosis, necrosis, cellular awareness, biological intuition, death decision model, ψ-field, nonlocal ψ-field, memory condensation, semantic field, lexicalization, ψ–Telos, nonlinear time, ψ-time, time folding, memory delay, phase transition, fractal dynamics, chaos suppression, nonlinear feedback, non-Markovian memory, cell state vector, metabolic energy decay, genetic memory, quantum biology, biophoton emission, cellular signaling, neurobiology, apoptosis pathways, mitochondrial collapse, decision threshold, nonlinear activation function, sigmoid decision, awareness preservation, informational transfer, semantic evolution, emergent meaning, phenomenology of death, Husserl philosophy, Merleau-Ponty embodiment, Michel Henry lived body, biological coherence field, near-death experiences, quantum decoherence, ψ–alive ψ–dead superposition, informational collapse, bifurcation analysis, Lyapunov exponents, dynamic stability, noise resilience, Gaussian noise stability, non-Gaussian fluctuations, memory-driven dynamics, recursive ψ-networks, nonlocal transfer nodes, semantic condensation, meaning generation at death, cognitive semantics, ψ-vector, teleological purpose, existential continuity, emergent telos, quantum entanglement in death, cellular communication, symbolic death lexicon, semantic oscillations, nonlinear decision dynamics, attractor boundaries, phase oscillation, ψ–collapse, critical threshold dynamics, ψ-core nodes, fractal field analysis, delay fields, oscillatory death phases, threshold oscillation, awareness field, biophysical awareness, cognitive field coupling, semantic phase transition, cellular nonlocal transfer, memory retrieval, survival of meaning, ψ-phase dynamics, ψ-nonlocal field, collapse dynamics, adaptive transfer algorithms, ψ-decision modeling, final awareness energy, Python simulation of death, fractal derivative equations, fractional calculus in biology, nonlinear systems biology, cellular consciousness, biocognitive fields, cellular self-organization, biophysics simulation, computational biology of death, meaning encoding, cognitive emergence, quantum information transfer, nonlocal awareness, emergence theory, semantic preservation, interdisciplinary biology, consciousness studies, systems neuroscience, metaphysical continuity, quantum field theory of death, information theory of death, death-phase semantics, ψ-folding of time, critical moment delay, biological memory encoding, cognitive death modeling, semantic survival, metaphysical emergence, cosmic ψ-network, lexical preservation, awareness at death, consciousness beyond biology, field-phase dynamics, awareness simulation, ultimate purpose transfer, semantic vectors, cognitive feedback, fractal awareness modeling, simulation algorithms, ψ–Hamzah Python code, interdisciplinary philosophy, metaphysical biology, cognitive decision models, symbolic interaction at death, ψ-field collapse, cellular teleology, existential philosophy of death, biophysics of mortality, fractal awareness, ψ-based modeling, awareness preservation algorithms, cellular self-transmission, advanced quantum biology, metaphysical modeling, nonlocal survival, semantic immortality, quantum cognitive dynamics, teleological preservation, nonlinear time model, cognitive entanglement, awareness transfer theory, ψ-awareness energy, phase structure of death, cognitive dynamics at death, fractal memory functions, nonlocal ψ-network transfer, semantic immortality model, emergence-based biology, memory survival after death, teleological field dynamics, ψ-field survival, cognitive phase transitions, field-based metaphysics, survival of meaning, death-as-transition, informational immortality, quantum-cognitive field theory, ψ–Hamzah computational model, universal continuity of awareness

The state of the late Quaternary megafauna extinction debate: a systematic review and analysis.

Authors: Stewart, Mathew Peters, Carli Ziegler, Michael J. et al.

Source: Frontiers in Mammal Science. 2025, p1-27. 27p.

Hamzah Certainty Principle (HCP). Confirmation of Einstein's Statement 'God Does Not Play Dice' and the Refutation of Heisenberg's Uncertainty Principle (HUP): Contrasting the Planck Constant (ℏ/2) with the Hamzah Certainty Constant (ΩH∗). [ΔxΔp ≥ ℏ/2 Heisenberg] → [Hamzah Principle: ΔxΔp = ΩH∗]

Authors: JALALI, SEYED RASOUL

Subject Terms: quantum mechanics, Heisenberg uncertainty, Schrödinger equation, Hamzah equation, complex integral, fractal derivative, hidden variable, deterministic physics, classical model, electron hydrogen atom, Bohr radius, reduced Planck constant, electron mass, electron charge, vacuum permittivity, Δx, Δp, uncertainty principle, quantum simulation, numerical example, double-slit experiment, tunneling effect, quantum tunneling, probabilistic interpretation, deterministic interpretation, wavefunction, Born rule, Copenhagen interpretation, path integral, fractal physics, fractal uncertainty, hidden variable χ, atomic orbitals, hydrogen energy levels, quantum probabilities, quantum superposition, quantum states, electron trajectory, quantum dynamics, numerical modeling, graphical simulation, scientific validation, physics comparison, classical uncertainty, exponential decay, s-parameter, fractal dimension, knowledge level, visualisation, plotting, matplotlib, numpy, Python code, computational physics, advanced Python, simulation model, particle physics, quantum electrodynamics, atomic physics, subatomic particle, atomic structure, Bohr model, Planck constant, quantum computation, quantum information, QIS, uncertainty reduction, determinism, Heisenberg principle, Schrödinger model, quantum field theory, quantum system, fractal analysis, hidden dynamics, electron cloud, wave-particle duality, trajectory reconstruction, experimental validation, physics experiment, numerical test, s-values, quantum interference, light wavelength, slit separation, screen distance, intensity pattern, quantum fringes, deterministic fringes, tunneling probability, barrier height, barrier width, particle energy, exponential suppression, classical tunneling, Hamzah tunneling, quantum probability, fractal suppression, s-dependence, quantum-classical comparison, atomic simulation, electron localization, measurement effect, quantum determinism, philosophical implication, Einstein principle, God does not play dice, quantum philosophy, advanced modeling, scientific illustration, computational validation, physics education, research tool, atomic simulation, quantum mechanics validation, probability reduction, trajectory determinism, electron motion, hydrogen atom simulation, microscopic physics, electron dynamics, uncertainty minimization, quantum interpretation, experimental simulation, numerical plotting, double-slit pattern, deterministic pattern, interference fringes, Hamzah model comparison, classical vs Hamzah, scientific graphing, Δx·Δp curve, quantum-classical contrast, wavefunction collapse, electron uncertainty, quantum measurement, deterministic outcome, s-parameter scaling, fractal modeling, hidden variables theory, χ-variable, atomic orbital visualization, atomic physics computation, advanced physics code, Python simulation, electron path modeling, hydrogen energy computation, quantum-classical graph, uncertainty visualization, advanced plotting, fractal uncertainty curve, complex integral application, electron localization calculation, atomic electron dynamics, computational experiment, quantum behavior modeling, Heisenberg test, Schrödinger test, Hamzah simulation, numerical validation, physical constants, electron energy, atomic radius calculation, Bohr radius derivation, Planck constant application, mass-energy relation, electron interaction, fractal analysis physics, hidden variable application, complex trajectory, electron orbit prediction, deterministic physics modeling, advanced physics scenario, Hamzah model verification, quantum to classical transition, quantum determinism analysis, electron trajectory reconstruction, quantum uncertainty analysis, ΔxΔp comparison, electron position momentum, quantum state evolution, fractal dimension effect, knowledge-dependent uncertainty, deterministic path, quantum-classical integration, electron energy levels computation, atomic electron simulation, advanced numerical analysis, Python numerical modeling, matplotlib plotting physics, simulation of hydrogen atom, numerical physics experiments, quantum simulation techniques, Hamzah equation implementation, hidden variable physics, fractal derivative application, complex integral evaluation, atomic-scale modeling, electron dynamics visualization, numerical precision physics, quantum trajectory calculation, double-slit simulation, interference visualization, deterministic fringes visualization, Hamzah vs classical comparison, quantum tunneling simulation, tunneling coefficient calculation, exponential decay tunneling, classical tunneling probability, Hamzah tunneling probability, quantum-classical tunneling, s-dependent tunneling, electron barrier interaction, quantum barrier simulation, atomic physics numerical test, numerical modeling in physics, quantum-classical experiments, simulation of ΔxΔp, uncertainty reduction analysis, deterministic electron trajectory, fractal physics simulation, hidden variable validation, complex integral in physics, electron path visualisation, atomic electron path, Bohr orbit modeling, advanced simulation techniques, Python computational physics, numerical physics modeling, hydrogen atom analysis, ΔxΔp calculation, quantum uncertainty minimization, Hamzah model demonstration, electron probability cloud, electron localization analysis, s-parameter impact, fractal trajectory, deterministic quantum mechanics, quantum determinism illustration, advanced atomic physics, computational quantum mechanics, numerical physics research, physics education tool, scientific Python code, visualisation of uncertainty, electron behavior simulation, atomic-scale precision, quantum measurement modeling, deterministic simulation, quantum experimental validation, Hamzah numerical test, classical numerical test, Δx·Δp visualisation, electron orbit comparison, hydrogen atom simulation, fractal uncertainty modeling, hidden variable analysis, advanced physics plotting, Hamzah uncertainty calculation, classical uncertainty calculation, quantum vs Hamzah, electron trajectory analysis, numerical results comparison, graphical physics representation, electron dynamics charting, atomic physics visualization, advanced Python simulation, fractal dimension modeling, deterministic quantum simulation, classical vs deterministic comparison, quantum-classical overlay, simulation graph analysis, ΔxΔp trend, s-dependence visualization, knowledge-based uncertainty, atomic electron trajectory, quantum-to-deterministic mapping, electron momentum analysis, electron position analysis, trajectory vs uncertainty, deterministic physics visualization, Hamzah validation, classical validation, numerical physics experiments, simulation framework, advanced computational scenario, atomic orbitals visualization, atomic simulation Python, numerical modeling Python, computational modeling Python, quantum mechanics advanced, physics advanced modeling, simulation of electron, hydrogen electron visualization, electron orbital simulation, quantum wavefunction modeling, advanced physics computation, fractal physics implementation, hidden variable incorporation, complex integral computation, atomic structure simulation, electron position modeling, electron momentum modeling, trajectory reconstruction analysis, numerical verification, deterministic universe, quantum determinism confirmation, Einstein verification, probabilistic reduction, atomic-scale modeling, electron motion plotting, uncertainty decay, exponential uncertainty reduction, s-scaling impact, atomic precision simulation, electron localization precision, quantum-classical comparison graph, simulation of tunneling, classical vs Hamzah tunneling, electron barrier simulation, atomic physics numerical validation, quantum physics numerical modeling, physics Python simulation, numerical precision simulation, advanced simulation graphing, electron uncertainty evaluation, ΔxΔp comparison chart, simulation of electron path, atomic simulation numerical test, deterministic trajectory verification, complex integral application in atomic physics, fractal derivative impact, s-parameter effect, Hamzah scenario demonstration, quantum to deterministic transition, electron dynamics verification, classical physics vs Hamzah, atomic-scale electron modeling, advanced simulation framework, numerical visualization, simulation reproducibility, deterministic hydrogen atom model, computational physics validation, simulation scenario Python, electron path plotting, atomic physics computational code, hydrogen electron modeling Python, electron orbital path, deterministic quantum mechanics modeling, advanced atomic simulation, numerical precision Python, quantum-classical comparison demonstration, Hamzah numerical results, atomic physics scenario, simulation verification, numerical comparison, ΔxΔp calculation Python, advanced plotting Python, electron path reconstruction, quantum mechanics illustration, 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trajectory simulation, electron motion verification, advanced numerical physics, Hamzah equation simulation, simulation of Δx·Δp, graphical simulation Python, electron uncertainty Python, deterministic path verification, electron motion modeling, classical vs Hamzah numerical, atomic simulation scenario, numerical hydrogen atom simulation, simulation verification Python, atomic physics trajectory plotting, electron orbit simulation Python, advanced quantum physics modeling, deterministic trajectory Python, Hamzah validation scenario, classical validation scenario, advanced physics visualization, electron trajectory numerical, hydrogen atom visualization, atomic orbit numerical, electron motion experiment, quantum-classical overlay Python, deterministic hydrogen electron, ΔxΔp scenario Python, fractal derivative simulation, complex integral modeling, s-parameter visualization, Hamzah scenario graph, quantum-classical comparison Python, advanced simulation visualization, numerical 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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