Search Results - "Python code"

Yapay Zeka Uygulamalarının Python Kod Üretimindeki Performans Karşılaştırması

Authors: Metin Akbulut

Source: Volume: 10, Issue: 1259-288
Sinop University Journal of Natural Sciences
Sinop Üniversitesi Fen Bilimleri Dergisi

Subject Terms: Yazılım Mühendisliği (Diğer), Software Engineering (Other), Artificial intelligence, coding, fault tolerance, code quality, Python code development, Yapay zeka, kodlama, hata toleransı, kod kalitesi, Python kod geliştirme

File Description: application/pdf

Access URL: https://dergipark.org.tr/tr/pub/sinopfbd/issue/93116/1635155

Toward Generating Experiment-Specific Notebooks in FABRIC

Authors: Hayashida, Mami Kurra, Joshna Fei, Zongming et al.

Subject Terms: Python Code Generation, NL2Code, Large Language Models, Low-cost models, Retrieval-Augmented Generation, Jupyter Notebooks

Communication games: Modelling language evolution through dyadic agent interactions

Authors: Ohmer, Xenia Cuskley, Christine Raviv, Limor, book editor et al.

Contributors: Ohmer, Xenia Cuskley, Christine Raviv, Limor, book editor et al.

Source: The Oxford Handbook of Approaches to Language Evolution.

Availability: https://doi.org/10.1093/oxfordhb/9780192886491.013.16

Environmental and health risk assessment of polycyclic aromatic hydrocarbons and toxic elements in the red sea using Monte Carlo simulation

Authors: F. Alshaima Sayed Mohamed Hamdy Eid Ahmed M. El-Sherbeeny et al.

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-20 (2025)

Subject Terms: PTE pollution indices, Carcinogenic and non-carcinogenic risk, Monte Carlo simulation, Python code, PAHs, Red Sea, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/f04bac07f2c644388ca130820ee3dac6

THE ROLE AND IMPORTANCE OF PROGRAMMING (PYTHON) IN MODERN CARTOGRAPHY

Authors: A.Kh. Abdullaev, U.P. Islamov, O.Z. Abdullaev, A.S. Avazov

Subject Terms: modern cartography, Python, code libraries, digital maps and GIS technology

An Empirical Evaluation of Ensemble Models for Python Code Smell Detection

Authors: Rajwant Singh Rao Seema Dewangan Alok Mishra

Source: Applied Sciences, Vol 15, Iss 13, p 7472 (2025)

Subject Terms: chi-square feature selection technique, ensemble learning models, Python code smell detection, SMOTE class balancing method, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

File Description: electronic resource

Relation: https://www.mdpi.com/2076-3417/15/13/7472; https://doaj.org/toc/2076-3417

Access URL: https://doaj.org/article/d5355a98e88646b997415dd704137668

Ordinary Galactic Physics Explains the Observed Signal: A Refutation of the Exotic Sub-halo Interpretation

Authors: Adriano, Paulo

Subject Terms: pulsar timing, line-of-sight acceleration, Bayesian model comparison, PSIS-LOO, AIC, BIC, Bayes factor, global null, permutation test, directional scan, jackknife, Milky Way potential, spiral arms, gas disk, molecular gas (H₂), atomic gas (HI), subhalo, dark matter, NFW profile, baryonic alternative, J1713+0747, J1640+2224, reproducible research, open data, Python code

Relation: https://zenodo.org/records/17253841; oai:zenodo.org:17253841; https://doi.org/10.5281/zenodo.17253841

Availability: https://doi.org/10.5281/zenodo.17253841
https://zenodo.org/records/17253841

Tutorial: Using QOD/OII Metrics in Python

Authors: Tan, Kwan Hong orcid:0009-0003-9276-

Subject Terms: Philosophy, Contemporary philosophy, Modern philosophy, ethics and religion, Metaphysics, Metaphysics/history, Ontology, Ontological Instability, Fluctuational Epistemology, Fluctuation Intensity, Correlation Dynamics, Phase Transition Probability, Emergence Potential, Ethical Responsivity, Quantitative Ontological Dynamics, QOD, Ontological Instability Index, OII, complex systems, Phase Transition, phase transitions, quantitative ontology, empirical philosophy, Python, Python Code

Relation: https://zenodo.org/records/17100822; oai:zenodo.org:17100822; https://doi.org/10.5281/zenodo.17100822

Availability: https://doi.org/10.5281/zenodo.17100822
https://zenodo.org/records/17100822

The Global ψ–Hamzah Plan for Sustainable Energy Extraction from the Quantum-Vacuum Consciousness.

Authors: JALALI, SEYED RASOUL

Subject Terms: ψ–Hamzah equation, ψ–Energy, quantum vacuum consciousness, vacuum energy extraction, fractal ψ-fields, fractional derivatives, ψ–φ coupling, nonlocal energy fields, Hamzah global plan, ψ–SmartGrid, ψ–Power Units, portable ψ-energy devices, ψ–vacuum chamber, ψ–antenna, φ–oscillator, ψ→I converter, quantum field fluctuations, zero-point energy, fractal space structure, ψ–field oscillations, ψ–consciousness energy, ψ–resonators, ψ–energy simulation, ψ–Hamzah Python code, numerical ψ-models, ψ-field maps, ψ–vacuum energy density, ψ–energy fractal operators, ψ–Hamzah laboratory design, ψ–Hamzah industrialisation

Relation: https://zenodo.org/records/16934146; oai:zenodo.org:16934146; https://doi.org/10.5281/zenodo.16934146

Availability: https://doi.org/10.5281/zenodo.16934146
https://zenodo.org/records/16934146

Restoration of Vision in Blindness Caused by Retinal or Optic Nerve Injury via the Hamzah Model.

Authors: JALALI, SEYED RASOUL

Subject Terms: Hamzah Equation, ψ–Hamzah Model, vision restoration, blindness therapy, retinal regeneration, optic nerve repair, cortical visual plasticity, fractional calculus, fractal derivatives, quantum biology, neuroplasticity, neuro-regeneration, deep learning in medicine, reinforcement learning, Sobol sampling, genetic–neuronal modelling, quantum coherence, neural prosthesis, ophthalmology innovation, bioinformatics, OCT imaging, fMRI integration, DICOM data, biomedical simulation, adaptive fractal noise, quantum information synchronisation, nanoscale therapeutics, anti-cancer vaccine, anti-cancer medicine, Hamzah Python code

Relation: https://zenodo.org/records/16906345; oai:zenodo.org:16906345; https://doi.org/10.5281/zenodo.16906345

Availability: https://doi.org/10.5281/zenodo.16906345
https://zenodo.org/records/16906345

Mathematically Rigorous Proof of Toponium Existence in the TEBAC 9D$^+$ Framework

Authors: Karadzhov, Tosho Lazarov orcid:0009-0008-1699-

Subject Terms: toponium, heavy quarkonium, QCD, TEBAC 9D+, LHC, spectral analysis, Python code, threshold resonance

Relation: https://zenodo.org/records/16762156; oai:zenodo.org:16762156; https://doi.org/10.5281/zenodo.16762156

Availability: https://doi.org/10.5281/zenodo.16762156
https://zenodo.org/records/16762156

The format of FEM output. We list only those fields which are used by BlueRecording.

Authors: Joseph James Tharayil Jorge Blanco Alonso Silvia Farcito et al.

Subject Terms: Biophysics, Cell Biology, Genetics, Neuroscience, Physiology, Biotechnology, Evolutionary Biology, Developmental Biology, Cancer, Space Science, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, standalone python code, sonata data format, rat somatosensory cortex, new avenues open, network simulations accessible, coreneuron computation engine, computational neuroscience grows, complex tissue anatomy, permit online calculation, signal information content, e ., non, simulate eeg recordings, enable efficient calculation, div >< p, dipolar current sources

Relation: https://figshare.com/articles/journal_contribution/The_format_of_FEM_output_We_list_only_those_fields_which_are_used_by_BlueRecording_/29138112

Availability: https://doi.org/10.1371/journal.pcbi.1013023.s005
https://figshare.com/articles/journal_contribution/The_format_of_FEM_output_We_list_only_those_fields_which_are_used_by_BlueRecording_/29138112

Methods for the generation of finite element meshes and simulation of electric fields.

Authors: Joseph James Tharayil Jorge Blanco Alonso Silvia Farcito et al.

Subject Terms: Biophysics, Cell Biology, Genetics, Neuroscience, Physiology, Biotechnology, Evolutionary Biology, Developmental Biology, Cancer, Space Science, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, standalone python code, sonata data format, rat somatosensory cortex, new avenues open, network simulations accessible, coreneuron computation engine, computational neuroscience grows, complex tissue anatomy, permit online calculation, signal information content, e ., non, simulate eeg recordings, enable efficient calculation, div >< p, dipolar current sources

Relation: https://figshare.com/articles/journal_contribution/Methods_for_the_generation_of_finite_element_meshes_and_simulation_of_electric_fields_/29138100

Availability: https://doi.org/10.1371/journal.pcbi.1013023.s001
https://figshare.com/articles/journal_contribution/Methods_for_the_generation_of_finite_element_meshes_and_simulation_of_electric_fields_/29138100

Methods for the input of current or conductance noise to the model.

Authors: Joseph James Tharayil Jorge Blanco Alonso Silvia Farcito et al.

Subject Terms: Biophysics, Cell Biology, Genetics, Neuroscience, Physiology, Biotechnology, Evolutionary Biology, Developmental Biology, Cancer, Space Science, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, standalone python code, sonata data format, rat somatosensory cortex, new avenues open, network simulations accessible, coreneuron computation engine, computational neuroscience grows, complex tissue anatomy, permit online calculation, signal information content, e ., non, simulate eeg recordings, enable efficient calculation, div >< p, dipolar current sources

Relation: https://figshare.com/articles/journal_contribution/Methods_for_the_input_of_current_or_conductance_noise_to_the_model_/29138103

Availability: https://doi.org/10.1371/journal.pcbi.1013023.s002
https://figshare.com/articles/journal_contribution/Methods_for_the_input_of_current_or_conductance_noise_to_the_model_/29138103

Cognitive Computing with Large Language Models for Student Assessment Feedback

Authors: Noorhan Abbas Eric Atwell

Source: Big Data and Cognitive Computing ; Volume 9 ; Issue 5 ; Pages: 112

Subject Terms: data science assessments, Mistral-7B, CodeLlama-7B, automatic assessment feedback, Python code analysis

File Description: application/pdf

Relation: https://dx.doi.org/10.3390/bdcc9050112

Availability: https://doi.org/10.3390/bdcc9050112

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∗]

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, 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

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, 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

Dynamic String Force Formulas and Unified Derivation of Physical Quantities (with Executable Code)

Authors: chen, xuehong

Subject Terms: Chen's Superstring Theory, CST, Dynamic String Force, Fractal Dimension, Quantization Assumption, Principle of Energy Minimization, Fibonacci String Length, L(n), Entanglement Degree, τ, Entanglement Entropy, Sₑₙₜ, Fractal-Corrected Gravitational Constant, Gₑff, Positive Mass, Negative Mass, Ḿ, Fractal-Corrected Electromagnetic Force, Strong Nuclear Force, Weak Nuclear Force, Dark Matter Fractal Dimension, D_DM, Fractal-Corrected Lamb Shift, ΔE_Lamb, Experimental Verification, Dimensional Consistency, Executable Python Code, Batch Calculation, Physical Behavior Visualization

Relation: https://zenodo.org/records/17221753; oai:zenodo.org:17221753; https://doi.org/10.5281/zenodo.17221753

Availability: https://doi.org/10.5281/zenodo.17221753
https://zenodo.org/records/17221753

Analysis of Chronovibrational Anomalies in LIGO Data: A First Step Toward Empirical Structure

Authors: Giordana, Paolo orcid:0009-0000-6761-

Subject Terms: LIGO, VIRGO, Chronovibration, QCTT, Gravitational waves, python code

Relation: https://zenodo.org/communities/advancedtheoreticalphysicsandmathematics/; https://zenodo.org/records/15332176; oai:zenodo.org:15332176; https://doi.org/10.5281/zenodo.15332176

Availability: https://doi.org/10.5281/zenodo.15332176
https://zenodo.org/records/15332176

Evaluating Strategies for Automatically Detecting the Long Continuing Current Signatures on Electric Field Waveforms of Lightning Events Occurring in the Metropolitan Area of Belo Horizonte

Authors: Viegas, Lucas G. G. M. Barbosa, Gustavo A. Teixeira, Karine F. et al.

Subject Terms: Python Code, Long Continuing Current, Lightning Location System, Lightning Activity in Brazil, Lightning, Electric Field Waveforms