Suchergebnisse - (( (statement OR stat) python code analysis ) OR ( (stavebna OR statneni) python code analysis ))*

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

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

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

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

Strong correlation of gene counts and differentially expressed genes between a 3′ RNA-Seq and an RNA hybridization platform in transcriptome analyses from canine archival tissues.

Autoren: Haake, Alexander F. H. Loriani Fard, Alina K. Jovanovic, Vladimir M. et al.

Quelle: Frontiers in Veterinary Science. 2025, p1-13. 13p.

Tiger colour morphs in zoos raise conservation and welfare concerns.

Autoren: Erzinçlioğlu, Tanya S. Piaz, Mina T. Chinpilas, Tunya et al.

Quelle: Discover Animals (3004-894X). 2/18/2026, Vol. 3 Issue 1, p1-20. 20p.

Schlagworte: Inbreeding, Animal welfare, Animal coloration, Environmental protection, Policy analysis, Human-animal relationships, Animal breeding

Geografische Kategorien: Thailand

Economic and Veterinary Evaluation of Pet Insurance in Türkiye: Potential, Role in Health, and Impact on Practice.

Autoren: GENÇGÖNÜL, Betül Zehra¹ betul.zehra@hacettepe.edu.tr

Quelle: Kafkas Üniversitesi Veteriner Fakültesi Dergisi. Jan/Feb2026, Vol. 32 Issue 1, p147-153. 7p.

Schlagworte: Pet health insurance, Practice of veterinary medicine, Insurance companies, Animal health, Euthanasia of animals, Veterinary medicine

Geografische Kategorien: Turkey

Genome-wide analyses reveal intricate genetic mechanisms underlying egg production efficiency in chickens.

Autoren: Tan, Lizhi Cai, Xinyu Kong, Yuan et al.

Quelle: Journal of Animal Science & Biotechnology. 8/11/2025, Vol. 16 Issue 1, p1-21. 21p.

Eating Disorders in People Who Identify as Gender-Diverse: Associations Between Gender Diversity, Eating Disorder Diagnosis, Minority Stress Experiences and Mental Health Comorbidity.

Autoren: Murphy, Rebecca Sharpe, Helen

Quelle: Nutrients. Feb2026, Vol. 18 Issue 3, p458. 24p.

Portable Electronic Olfactometer for Non-Invasive Screening of Canine Ehrlichiosis: A Proof-of-Concept Study Using Machine Learning.

Autoren: Durán Cotrina, Silvana Valentina Acevedo, Cristhian Manuel Durán Carrillo Gómez, Jeniffer Katerine

Quelle: Veterinary Sciences. Jan2026, Vol. 13 Issue 1, p88. 20p.

Automated Grading Method of Python Code Submissions Using Large Language Models and Machine Learning.

Autoren: Mahdaoui, Mariam Nouh, Said El Kasmi Alaoui, My Seddiq et al.

Quelle: Information; Aug2025, Vol. 16 Issue 8, p674, 16p

Schlagwörter: PYTHON programming language, LANGUAGE models, GENERATIVE pre-trained transformers, COMPUTER programming education, RANDOM forest algorithms, ENSEMBLE learning, GRADING of students, MACHINE learning

ASAS-NANP symposium: mathematical modeling in animal nutrition—Making sense of big data and machine learning: how open-source code can advance training of animal scientists.

Autoren: Brennan, Jameson R. Menendez, III, Hector M. Ehlert, Krista et al.

Quelle: Journal of Animal Science. Jan2023, Vol. 101 Issue 1, p1-11. 11p. 4 Diagrams, 3 Graphs.

Data-Driven Early Warning Approach for Antimicrobial Resistance Prediction–Anomaly Detection Based on High-Level Indicators.

Autoren: Csorba, Szilveszter Vribék, Krisztián Farkas, Máté et al.

Quelle: Veterinary Sciences. Oct2025, Vol. 12 Issue 10, p935. 17p.

Varietal Differences in Kidney Beans Modulate Gut Microbiota and Inflammation During High-Fat Diet-Induced Obesity in Male Mice.

Autoren: Rodrigue, Alexane F. Pereira, Bruna B. Freije, Giorgio et al.

Quelle: Nutrients. Feb2026, Vol. 18 Issue 3, p461. 34p.

Zinc as a Biomarker of Nutritional Status and Clinical Burden in Recessive Dystrophic Epidermolysis Bullosa: Implications for Preventive Monitoring.

Autoren: Quintana-Castanedo, Lucía Maseda, Rocío Sánchez-Ramón, Silvia et al.

Quelle: Nutrients. Jan2026, Vol. 18 Issue 2, p232. 19p.

PyAnalyzer: An Effective and Practical Approach for Dependency Extraction from Python Code.

Autoren: Jin, Wuxia Xu, Shuo Chen, Dawei et al.

Quelle: ICSE: International Conference on Software Engineering; 2024, p1-12, 12p

Schlagwörter: PYTHON programming language, DYLAN (Computer program language), RECALL (Information retrieval), PRECISION (Information retrieval), SOFTWARE engineering

Revealing the Unseen: AI Chain on LLMs for Predicting Implicit Dataflows to Generate Dataflow Graphs in Dynamically Typed Code.

Autoren: Huang, Qing Luo, Zhiwen Xing, Zhenchang et al.

Quelle: ACM Transactions on Software Engineering & Methodology; Sep2024, Vol. 33 Issue 7, p1-29, 29p

Schlagwörter: LANGUAGE models, ARTIFICIAL intelligence, LEARNING ability, SOFTWARE development tools, IMPLICIT learning, SOFTWARE engineering

Sex-Specific Dietary Predictors of Blood Glucose Identified Through Decision Tree Modeling in Adults.

Autoren: Gautney, Joanna Aguilar, Christina Chan, Julian et al.

Quelle: Nutrients. Oct2025, Vol. 17 Issue 19, p3119. 12p.

Code Redteaming: Probing Ethical Sensitivity of LLMs Through Natural Language Embedded in Code

Autoren: Chanjun Park Jeongho Yoon Heuiseok Lim

Quelle: Mathematics, Vol 14, Iss 1, p 189 (2026)

Schlagwörter: adversarial evaluation, content safety, ethical language detection, code analysis, large language models, Mathematics, QA1-939

Relation: https://www.mdpi.com/2227-7390/14/1/189; https://doaj.org/toc/2227-7390; https://doaj.org/article/3f5930e14782473da84170f104d29e88

Verfügbarkeit: https://doi.org/10.3390/math14010189
https://doaj.org/article/3f5930e14782473da84170f104d29e88

An exploratory text-mining approach to analyzing DEI-related issues in eight leading architecture & design firms' publications.

Autoren: Mohammed, Hassnaa More, Prathamesh Pravin Saudagar, Onkar Vishnu

Quelle: Design Journal. Jul2025, Vol. 28 Issue 4, p783-807. 25p.

Schlagwörter: Diversity & inclusion policies, Text mining, Architectural design, Big data, Social consciousness, Design services, Python programming language, Data analysis

People: Floyd, George, ca. 1973-2020

Survival Modelling Using Machine Learning and Immune–Nutritional Profiles in Advanced Gastric Cancer on Home Parenteral Nutrition.

Autoren: Matysiak, Konrad Hojdis, Aleksandra Szewczuk, Magdalena

Quelle: Nutrients. Aug2025, Vol. 17 Issue 15, p2414. 16p.