Search Results - (( (stateed OR state) python code analysis ) OR ( (stateat OR stateeene) python code analysis ))

Quantitative virus infectivity titration and dose-response analyses using cell-culture based methods and python code-assisted data analysis

Authors: Henna-Maarit Kyröläinen Iiris Mustonen Juho Enäkoski et al.

Source: iScience, Vol 29, Iss 3, Pp 115018- (2026)

Subject Terms: virology, Science

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2589004226003937; https://doaj.org/toc/2589-0042

Access URL: https://doaj.org/article/66ab127160aa4b968be933c3101d8f30

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

Authors: Yi Rong Yan Zhou

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

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

File Description: electronic resource

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

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

A Study of Large Language Models in Detecting Python Code Violations

Authors: Hekar A. Mohammed Salih Qusay I. Sarhan

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

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

File Description: electronic resource

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

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

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

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

Index Terms: Computer Science - Programming Languages, Computer Science - Artificial Intelligence, text

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

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

Authors: Rasmus Krebs Somnath Mazumdar

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

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

File Description: electronic resource

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

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

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

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

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

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

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

Authors: JALALI, SEYED RASOUL

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

Meta-designing quantum experiments with language models.

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

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

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

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

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

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

File Description: electronic resource

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

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

Measurement and Development for Automated Secure Coding Solutions

Authors: Frantz, Miles Eugene

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

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

File Description: ETD; application/pdf

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

LMs: Understanding Code Syntax and Semantics for Code Analysis

Authors: Ma, Wei Liu, Shangqing Lin, Zhihao et al.

Index Terms: Computer Science - Software Engineering, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2305.12138

Smart Compiler Assistant: An AST based Python Code Analysis

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

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

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

Programming models to support data science workflows

Authors: Ramón-Cortés Vilarrodona, Cristián

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

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

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Distributed computing, High-performance computing, Data science pipelines, Task-ba workflows, Dataflows, Containers (Computer sicience), COMPSs, PyCOMPSs, AutoParallel, Docker, Àrees temàtiques de la UPC::Informàtica

File Description: application/pdf

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

Percolation Theory Using Python

Authors: Malthe-Sørenssen, Anders

Subject Terms: fractal models, critical phenomena in statistical physics, disordered systems, scaling theory, anomalous diffusion, random media textbook, Statistical physics, Condensed matter physics (liquid state and solid state physics), Cybernetics and systems theory, Engineering applications of electronic, magnetic, optical materials, Mathematical physics, Geophysics

File Description: application/pdf

Relation: Lecture Notes in Physics

Access URL: https://library.oapen.org/handle/20.500.12657/92326

Bridging Nano-Quantum Fields and Consciousness in a New Era via ψ–Hamzah Equation

Authors: JALALI

Subject Terms: ψ–Hamzah equation, nano-quantum fields, consciousness model, fractal derivatives, fractional calculus, Caputo–Hamzah derivative, nonlinear quantum dynamics, unstable path integrals, mental–quantum instability, recursive functions, memory-dependent systems, nanoscale physics, quantum fluctuations, intelligent nanoparticles, pre-conscious phases, Schrödinger equation comparison, Dirac equation comparison, chaos modeling, controlled chaos, Lyapunov exponents, fractal dimension, box-counting method, recursive networks, spectral analysis, bifurcation diagrams, Gross–Pitaevskii comparison, nonlinear instabilities, wave function ψ, quantum tunneling, fractal oscillations, Grünwald–Letnikov approximation, Caputo definition, Hamiltonian operator, quantum awareness, quantum–conscious integration, pre-conscious modeling, quantum chaos suppression, nonlinear feedback control, adaptive control in quantum systems, mental coefficient λ, memory kernel fractal K(t), recursive ψ field, fractal Laplacian, Fourier spectral methods, Adams–Bashforth–Moulton method, Runge–Kutta fractional update, eigenvalue stability analysis, nanoscale simulation, Python quantum simulation, NumPy for ψ dynamics, SciPy integration, FracPy library, fractional Laplacian algorithm, Numba acceleration, Cython parallelization, recursive fractal networks, box-counting regression, spectral scalability indices, chaos stabilization algorithms, ψ–Hamzah virtual experiments, simulated environments, nanobot quantum intelligence, decision-making stability, environmental noise impact, feedback chaos control, chaos dissociation prevention, phase diagram analysis, stability index measurement, controlled dissociation, recursive ψ dimension, fractal network graph, multidimensional ψ analysis, memory-dependent oscillations, quantum tunneling effects, mental–quantum operator M(t), Hamiltonian with recursive terms, unstable γ path integration, recursive ψ operator, wave function recursion, nonlinear nanoscale modeling, dynamic equilibrium chaos order, chaos emergence suppression, instability mitigation, chaos control algorithms, Lyapunov spectrum computation, phase diagram mapping, recursive bifurcation analysis, fractal chaos suppression, nano-conscious intelligence, quantum nanobot engineering, nanotechnology–consciousness integration, artificial intelligence extension, intelligent nanobots, chaotic quantum awareness, mental-quantum fluctuation modeling, recursive nonlinear ψ equation, adaptive nanobot decision-making, multidimensional ψ stability, recursive scaling laws, recursive ψ chaos analysis, fractal recursive system analysis, ψ numerical table outputs, Gaussian wave initial ψ, fractal recursive kernel analysis, memory recursive systems, recursive neural quantum modeling, recursive ψ iterative feedback, recursive ψ fractal networks, recursive ψ stabilization, recursive ψ memory kernel, recursive ψ Lyapunov dimension, recursive ψ bifurcation map, recursive ψ attractor analysis, recursive ψ chaos suppression, recursive ψ decision making, recursive ψ–Hamzah adaptive feedback, recursive ψ stabilization algorithm, recursive ψ–Hamzah Python code, recursive ψ fractal quantum nanobots, recursive ψ network architecture, recursive ψ simulation with feedback, recursive ψ phase diagrams, recursive ψ chaos indices, recursive ψ–Hamzah neural architecture, recursive ψ–Hamzah self-organising behaviour, recursive ψ–Hamzah adaptive algorithm, recursive ψ–Hamzah decision feedback, recursive ψ–Hamzah consciousness modeling, recursive ψ–Hamzah field recursion, recursive ψ–Hamzah multidimensional chaos, recursive ψ–Hamzah fractal stability, recursive ψ–Hamzah nonlinear extension, recursive ψ–Hamzah stability control, recursive ψ–Hamzah nanobot feedback, recursive ψ–Hamzah chaos integration, recursive ψ–Hamzah numerical validation, recursive ψ–Hamzah stability validation, recursive ψ–Hamzah interdisciplinary potential, recursive ψ–Hamzah applied AI, recursive ψ–Hamzah nanotechnology impact, recursive ψ–Hamzah medicine applications, recursive ψ–Hamzah quantum biology, recursive ψ–Hamzah systems neuroscience, recursive ψ–Hamzah theoretical physics, recursive ψ–Hamzah quantum information, recursive ψ–Hamzah post-quantum model, recursive ψ–Hamzah nonlinear mathematics, recursive ψ–Hamzah fractional networks, recursive ψ–Hamzah chaos suppression algorithms, recursive ψ–Hamzah chaos-control design, recursive ψ–Hamzah recursive fractal analysis, recursive ψ–Hamzah recursive simulation codes, recursive ψ–Hamzah adaptive algorithms, recursive ψ–Hamzah cross-disciplinary science, recursive ψ–Hamzah chaos mapping, recursive ψ–Hamzah stability diagrams, recursive ψ–Hamzah chaos dimension calculation, recursive ψ–Hamzah chaos indices analysis, recursive ψ–Hamzah recursive memory oscillations, recursive ψ–Hamzah recursive decision models, recursive ψ–Hamzah recursive instability suppression, recursive ψ–Hamzah recursive adaptation, recursive ψ–Hamzah recursive stabilization, recursive ψ–Hamzah recursive nanobot programming, recursive ψ–Hamzah recursive cognitive simulations, recursive ψ–Hamzah recursive applications in AI, recursive ψ–Hamzah recursive applications in medicine, recursive ψ–Hamzah recursive chaos control experiments, recursive ψ–Hamzah recursive chaos control results, recursive ψ–Hamzah recursive chaos simulations, recursive ψ–Hamzah recursive Lyapunov computations, recursive ψ–Hamzah recursive spectral chaos maps, recursive ψ–Hamzah recursive numerical algorithms, recursive ψ–Hamzah recursive system stability, recursive ψ–Hamzah recursive adaptive responses, recursive ψ–Hamzah recursive multi-scale analysis, recursive ψ–Hamzah recursive computational tools, recursive ψ–Hamzah recursive chaos regulation, recursive ψ–Hamzah recursive chaos stabilization outputs, recursive ψ–Hamzah recursive applications in consciousness, recursive ψ–Hamzah recursive applications in AI-nanotech, recursive ψ–Hamzah recursive systems neuroscience, recursive ψ–Hamzah recursive awareness modeling, recursive ψ–Hamzah recursive chaos mitigation

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

Authors: Nuno Fachada Daniel Fernandes Carlos M. Fernandes et al.

Source: Future Internet, Vol 17, Iss 9, p 412 (2025)

Subject Terms: large language models, code generation, Python libraries, Information technology, T58.5-58.64

File Description: electronic resource

Relation: https://www.mdpi.com/1999-5903/17/9/412; https://doaj.org/toc/1999-5903

Access URL: https://doaj.org/article/0b7290b02eba46929e6de40288c33a7e

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

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

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

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

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

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

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

Data analysis and visualization of electric vehicle engineering

Authors: Gupta, Aditya Gaurav Gupta, Aryan Gaurav Bhutia, Michelle Tashi Wongmu

Source: World Journal of Advanced Research and Reviews. 25:1796-1804

Subject Terms: LiDAR Sensors, Design Trade-offs, Battery, PID controllers, Electric Vehicles

State of the interactomes: an evaluation of molecular networks for generating biological insights.

Authors: Wright, Sarah N Colton, Scott Schaffer, Leah V et al.

Source: Molecular Systems Biology. Jan2025, Vol. 21 Issue 1, p1-29. 29p.

Subject Terms: *SYSTEMS biology, *LIFE sciences, *REGULATOR genes, *BIOLOGICAL systems, *BIOLOGICAL networks