Quantum Coherence Preservation in Fibonacci-Structured Microtubules During HIV-Induced Neuroinflammation: Computational Modeling Data and Analysis

Quantum Coherence Preservation in Fibonacci-Structured Microtubules During HIV-Induced Neuroinflammation: Computational Modeling Data and Analysis Description: This dataset includes comprehensive computational modeling data, Python simulation scripts, detailed analysis results, and validation materials supporting the manuscript titled “Quantum Coherence Preservation in Fibonacci-Structured Microtubules During HIV-Induced Neuroinflammation.” The dataset explicitly addresses the longstanding cognitive paradox observed during acute HIV infection, wherein patients maintain cognitive function despite severe neuroinflammatory cytokine responses. Employing rigorous computational modeling and Monte Carlo simulations, this study demonstrates that quantum coherence is significantly preserved within microtubules arranged in Fibonacci-based geometries compared to regular structures. Contents: Raw Data Files: Detailed simulation output data (CSV, JSON, NPZ formats). Simulation Scripts: Clearly documented Python scripts for reproducibility of quantum coherence modeling and Monte Carlo analysis. Figures and Visualizations: High-resolution images illustrating key computational findings, quantum coherence dynamics, and parameter sensitivity analyses. Validation Materials: Comprehensive parameter derivations, sensitivity analyses, and robustness checks explicitly validating computational integrity. README Documentation: Detailed explanations of dataset contents, file structures, methodologies, and explicit references to parameter sources from established scientific literature. Clarification Note: This dataset was previously retracted due to initial concerns regarding model parameter accuracy. Following comprehensive review and validation, all parameters and computational methodologies have been explicitly confirmed as scientifically justified, accurate, and reproducible. This re-uploaded dataset reflects rigorous scientific standards and methodological transparency. Usage: Researchers interested in quantum biology, computational neuroscience, neuroinflammation modeling, or quantum coherence phenomena are encouraged to use this dataset for further analysis, validation, and comparative studies.HIV诱导神经炎症期间斐波那契结构微管中的量子相干保持：计算建模数据与分析 ## 数据集说明： 本数据集包含支撑题为《HIV诱导神经炎症期间斐波那契结构微管中的量子相干保持》的学术论文的全套计算建模数据、Python仿真脚本、详细分析结果与验证材料。 本数据集专门针对急性HIV感染期间长期存在的认知悖论展开研究——即患者在出现严重神经炎症细胞因子应答的情况下仍能维持认知功能。本研究采用严谨的计算建模与蒙特卡洛（Monte Carlo）仿真方法，证明相较于规则结构，斐波那契几何排列的微管（Microtubules）内量子相干（Quantum Coherence）得到了显著保留。 ## 数据集内容： 原始数据文件：包含详细的仿真输出数据，格式涵盖CSV、JSON、NPZ。 仿真脚本：带有清晰文档说明的Python脚本，可复现量子相干建模与蒙特卡洛分析流程。 图表与可视化材料：包含展示核心计算发现、量子相干动力学及参数敏感性分析的高分辨率图像。 验证材料：包含完整的参数推导、敏感性分析与稳健性检验内容，可明确验证计算过程的严谨性。 README文档：详细说明数据集内容、文件结构、研究方法，并明确引用已发表科学文献中的参数来源。 ## 说明备注： 本数据集此前因最初对模型参数准确性的疑虑被撤回。经全面审核与验证后，所有参数及计算方法已被明确证实具备科学合理性、准确性与可复现性。本次重新上传的数据集严格遵循严谨的科学标准与方法学透明性原则。 ## 使用说明： 本数据集面向量子生物学、计算神经科学、神经炎症建模及量子相干现象相关领域的研究人员，欢迎其使用本数据集开展进一步分析、验证与对比研究。