Suchergebnisse - (( ((state OR state) OR stat) python code analysis ) OR ( stavebna python code analysis ))

Programming models to support data science workflows

Autoren: Ramón-Cortés Vilarrodona, Cristián

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

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

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: 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

Dateibeschreibung: application/pdf

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

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

Autoren: Yi Rong Yan Zhou

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

Schlagwörter: 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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/0e8d85656442482785bc981b326c25a4

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

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

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

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

Measurement and Development for Automated Secure Coding Solutions

Autoren: Frantz, Miles Eugene

Thesis Advisors: Computer Science and#38; Applications, Yao, Danfeng, Rajagopalan, Raj, Meng, Na, Chung, Taejoong Tijay, Brown, Dwayne Christian

Schlagwörter: Large Language Models, Machine Learning, Static Code Analysis, Python, Java, Benchmark

Dateibeschreibung: ETD; application/pdf

Verfügbarkeit: https://hdl.handle.net/10919/121100

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

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

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

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

Dateibeschreibung: 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

Zugangs-URL: https://doaj.org/article/c9d170a1144c4d9f86026066ca8dbfea

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

Autoren: V.V. Samarov

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

Schlagwörter: 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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/17c480a498a44ff5b1681dc8eb177136

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

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

Schlagwörter: 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)

Zugangs-URL: http://arxiv.org/abs/2301.05108

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

Autoren: JALALI, SEYED RASOUL

Schlagwörter: 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

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

Autoren: JALALI, SEYED RASOUL

Schlagwörter: 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

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∗]

Autoren: JALALI, SEYED RASOUL

Schlagwörter: 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, hydrogen atom numerical analysis, numerical physics demonstration, simulation code Python, deterministic electron simulation, fractal trajectory analysis, electron behavior visualization, numerical simulation framework, quantum determinism verification, s-dependent uncertainty modeling, Hamzah model graph, electron orbital visualisation, atomic precision modeling, advanced electron trajectory, electron motion charting, fractal physics Python, hidden variable χ application, complex integral simulation, atomic electron verification, deterministic trajectory illustration, quantum uncertainty comparison, classical ΔxΔp analysis, Hamzah ΔxΔp analysis, numerical experiment Python, advanced physics Python code, quantum-classical validation, electron orbit comparison chart, atomic physics numerical simulation, electron dynamics simulation, trajectory analysis Python, hydrogen atom experiment Python, electron localization demonstration, electron probability cloud visualization, atomic 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 simulation graph, electron behavior analysis Python, atomic orbit plotting, electron momentum visualization, Δx·Δp chart, deterministic quantum Python, electron trajectory demonstration, atomic electron motion Python, hydrogen electron path modeling, numerical scenario validation, quantum-classical scenario Python, atomic physics modeling Python, electron uncertainty visualization, Hamzah scenario validation, simulation of tunneling Python, classical vs Hamzah tunneling Python, deterministic electron behavior, advanced atomic visualization, numerical electron path, Δx·Δp comparison visualization, simulation code demonstration, electron orbital comparison, atomic physics simulation Python, advanced simulation techniques Python, quantum deterministic illustration, electron motion simulation Python, Hamzah numerical verification, classical numerical verification, simulation of electron motion, electron position trajectory, Δx·Δp trend visualization, hydrogen atom scenario modeling, electron trajectory analysis Python, Hamzah scenario demonstration Python, atomic-scale simulation Python, quantum-classical determinism, electron orbital trajectory, numerical physics demonstration Python, deterministic hydrogen electron path, advanced computational modeling, atomic physics simulation Python, Hamzah model numerical demonstration, simulation of electron trajectory, fractal trajectory Python, electron momentum trajectory, Δx·Δp visualization Python, simulation of hydrogen electron, numerical physics analysis Python, electron localization analysis Python, Hamzah equation Python, advanced scenario modeling Python, deterministic electron trajectory Python, atomic-scale modeling Python

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

Autoren: JALALI, SEYED RASOUL

Schlagwörter: 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, hydrogen atom numerical analysis, numerical physics demonstration, simulation code Python, deterministic electron simulation, fractal trajectory analysis, electron behavior visualization, numerical simulation framework, quantum determinism verification, s-dependent uncertainty modeling, Hamzah model graph, electron orbital visualisation, atomic precision modeling, advanced electron trajectory, electron motion charting, fractal physics Python, hidden variable χ application, complex integral simulation, atomic electron verification, deterministic trajectory illustration, quantum uncertainty comparison, classical ΔxΔp analysis, Hamzah ΔxΔp analysis, numerical experiment Python, advanced physics Python code, quantum-classical validation, electron orbit comparison chart, atomic physics numerical simulation, electron dynamics simulation, trajectory analysis Python, hydrogen atom experiment Python, electron localization demonstration, electron probability cloud visualization, atomic 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 simulation graph, electron behavior analysis Python, atomic orbit plotting, electron momentum visualization, Δx·Δp chart, deterministic quantum Python, electron trajectory demonstration, atomic electron motion Python, hydrogen electron path modeling, numerical scenario validation, quantum-classical scenario Python, atomic physics modeling Python, electron uncertainty visualization, Hamzah scenario validation, simulation of tunneling Python, classical vs Hamzah tunneling Python, deterministic electron behavior, advanced atomic visualization, numerical electron path, Δx·Δp comparison visualization, simulation code demonstration, electron orbital comparison, atomic physics simulation Python, advanced simulation techniques Python, quantum deterministic illustration, electron motion simulation Python, Hamzah numerical verification, classical numerical verification, simulation of electron motion, electron position trajectory, Δx·Δp trend visualization, hydrogen atom scenario modeling, electron trajectory analysis Python, Hamzah scenario demonstration Python, atomic-scale simulation Python, quantum-classical determinism, electron orbital trajectory, numerical physics demonstration Python, deterministic hydrogen electron path, advanced computational modeling, atomic physics simulation Python, Hamzah model numerical demonstration, simulation of electron trajectory, fractal trajectory Python, electron momentum trajectory, Δx·Δp visualization Python, simulation of hydrogen electron, numerical physics analysis Python, electron localization analysis Python, Hamzah equation Python, advanced scenario modeling Python, deterministic electron trajectory Python, atomic-scale modeling Python

Theory of Everything Hamzah-Ωφ. The Deterministic Unification of Einstein's Relativity and Quantum Mechanics.(TEOH-Ωφ)

Autoren: JALALI, SEYED RASOUL

Schlagwörter: Hamzah Equation, Ωφ, Theory of Everything, TEOH, determinism, certainty principle, Einstein relativity, special relativity, general relativity, quantum mechanics, Schrödinger equation, Dirac equation, Heisenberg uncertainty, hidden variables, fractal derivative, fractional calculus, complex integrals, multiscale dynamics, deterministic model, unified physics, wavefunction, ψ, probability distribution, certainty distribution, eigenvalue spectrum, eigenstates, Hamiltonian, Lagrangian, action integral, Euler–Lagrange, path integral, Feynman integral, stochastic limit, deterministic framework, cosmic background, black holes, Hawking radiation, event horizon, singularity, spacetime, geometry, tensor calculus, Riemann tensor, Einstein field equations, Minkowski space, curved spacetime, GPS corrections, gravitational waves, LIGO, spacetime fabric, Big Bang, cosmology, multiverse, extra dimensions, string theory, superstring theory, M-theory, loop quantum gravity, Planck scale, Planck length, Planck constant, Planck time, Planck mass, quantisation, energy levels, harmonic oscillator, quantum tunnelling, T_QM, T_Hamzah, laboratory reproducibility, reproducible experiments, accuracy 99.99, error 0.0001, long-range memory, scale invariance, fractals, chaos theory, deterministic chaos, bifurcation, attractors, strange attractor, Lyapunov exponent, entropy, information entropy, negentropy, Maxwell demon, thermodynamics, statistical mechanics, partition function, free energy, entropy reduction, time arrow, absolute time, relativity of simultaneity, causality, causality principle, classical mechanics, Newtonian mechanics, Hamilton–Jacobi, canonical transformations, Poisson brackets, commutators, quantum field theory, QFT, Standard Model, Higgs boson, electroweak, strong interaction, QCD, quantum chromodynamics, weak interaction, Fermi constant, fine structure constant, α constant, gravitational constant, G, speed of light, c, reduced Planck constant, ħ, Boltzmann constant, cosmological constant, Λ, inflation theory, cosmic inflation, CMB, cosmic microwave background, dark matter, dark energy, quintessence, scalar fields, Higgs field, vacuum energy, zero-point energy, Casimir effect, decoherence, measurement problem, Copenhagen interpretation, Many Worlds interpretation, pilot-wave theory, Bohmian mechanics, deterministic pilot wave, quantum ontology, quantum realism, quantum epistemology, probabilistic collapse, wavefunction collapse, decoherence models, density matrix, von Neumann equation, Liouville equation, statistical operator, quantum information, qubits, entanglement, Bell inequalities, EPR paradox, nonlocality, locality principle, quantum teleportation, quantum computing, superposition, interference, double slit experiment, photon polarisation, spin 1/2, spin statistics, fermions, bosons, Pauli exclusion principle, Bose–Einstein statistics, Fermi–Dirac statistics, classical limit, correspondence principle, decoherent histories, many body problem, condensed matter, superconductivity, superfluidity, BCS theory, Cooper pairs, quantum Hall effect, fractional quantum Hall, topological insulators, quantum topology, quantum anomalies, symmetry breaking, spontaneous symmetry breaking, Noether theorem, conservation laws, energy conservation, momentum conservation, angular momentum, CPT invariance, Lorentz invariance, gauge symmetry, SU(3), SU(2), U(1), gauge bosons, photon, gluon, W boson, Z boson, graviton, hypothetical particles, tachyon, axion, supersymmetry, SUSY, superpartners, neutralino, gravitino, experimental physics, particle accelerator, CERN, LHC, detectors, CMS, ATLAS, data reproducibility, GPS experiment, atomic clock, laser interferometry, supercomputer, GPU, parallel computing, high performance computing, simulations, Python simulation, Monte Carlo, numerical analysis, stability analysis, chaos control, fractal space, fractional time, memory kernel, integral operator, nonlocal operator, operator algebra, 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ΔCORONA-COUPLAGE-TEST v1.0 — Empirical Validation of Mimetic Magnetic Coherence in the Solar Corona

Autoren: Tabary, Frédéric Zoran🦋Adapti

Schlagwörter: Wavelet Coherence Analysis, Magnetohydrodynamics (MHD), Zoran🦋Adapti, Solar Physics, AI for Science, EthicChain / C2PA ProofChain, Reproducible Research, Zoran Mimetic Framework (GHUC Ω⁵), Coronal Heating Problem, Alfvén Waves, Mutual Information, IA chercheuse, Magnetic Coherence, Mimetic Coupling, zoran🦋aSiM, IA mimetique, zoran IA Mimetic, Energy–Information Coupling, Couronne Solaire, Information Physics, Self-Organization

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.

Autoren: Özbey, Mehmet Furkan Turhan, Cihan

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

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

A Study of Large Language Models in Detecting Python Code Violations

Autoren: Hekar A. Mohammed Salih Qusay I. Sarhan

Quelle: ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY. 13:215-225

Benchmarking Large Language Models for Bio-Image Analysis Code Generation

Autoren: Robert Haase Christian Tischer Jean-Karim Hériché et al.

Smart Compiler Assistant: An AST based Python Code Analysis

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

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

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

Risk Model for Metastasis Detection of Neuroblastoma (NB)

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

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

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

A Firm's Operational Risk: Data Set and Empirical Evidence.

Autoren: Astvansh, Vivek Simpson, Joseph J.

Quelle: Manufacturing & Service Operations Management (M&SOM). Jan/Feb2026, Vol. 28 Issue 1, p326-341. 16p.

Schlagwörter: *OPERATIONAL risk, *TRANSFORMER models, *STAKEHOLDER theory, *LEGAL liability, *FINANCIAL disclosure, *EMPIRICAL research, NUMERICAL analysis

Geografische Kategorien: UNITED States

MLtool Python Code

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

Schlagwörter: Computer Programming and Software

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

Zugangs-URL: https://ntrs.nasa.gov/citations/20230005458