仓库/Skill 库

dMIC60 线粒体–核 Crosstalk 论文中图表与 Table S1 的代码及源数据。Code and source data for figures and Table S1 from the dMIC60 mitochondrial–nuclear crosstalk manuscript.

关于 Riemann zeta 零点无条件低重数剖面的未经同行评审的研究，附精确证书，并清晰区分与 RH 相关的探索。不证明 RH。Unrefereed research on unconditional low-multiplicity profiles for Riemann zeta zeros, with exact certificates and clearly separated RH-adjacent explorations. Does not prove RH.

复现研究结果所需的数据与代码Data and code required for reproducing the research results

呼吸道病毒传播系统综述的数据与代码。Data and code for a systematic review on respiratory virus transmission

将 AI/ML/DL 应用于 CarakaBinary（源自《Carakasaṃhitā》的梵文 NLP 数据集）的研究项目。通过探索 EDA、ML、DL 与预训练模型来学习可复现研究。长期目标：为梵文与阿育吠陀知识构建可信的 AI。Research project applying AI/ML/DL to CarakaBinary, a Sanskrit NLP dataset derived from the Carakasaṃhitā. Exploring EDA, ML, DL and pretrained models to learn reproducible research. Long-term aim: build trustworthy AI for Sanskrit and Ayurvedic knowledge.

元宇宙信任模型 PRISMA 2020 系统综述的筛选记录（2002 年–2026 年 6 月）。包含 2026 年 7 月检索更新中识别的 496 条记录的逐条筛选决策、排除原因与主题标签。IEEE TPS 2026 双盲评审论文的补充材料。Screening record for a PRISMA 2020 systematic review of trust models for the Metaverse (2002–June 2026). Contains per-record screening decisions, exclusion reasons, and theme labels for 496 records identified in the July 2026 search update. Supplementary material for a paper under double-blind review at IEEE TPS 2026.

论文《Quantifying temporal changes in the monetary value of forest cultural ecosystem services globally: a meta-analysis (2026)》的复现材料。Replication materialss for: Quantifying temporal changes in the monetary value of forest cultural ecosystem services globally: a meta-analysis (2026)

精选 LaTeX 实验报告，展示实验分析与科学写作。Selected LaTeX laboratory reports demonstrating experimental analysis and scientific writing

两个用于短期预测研究的已处理风电数据集，包括来自中国新疆的基于 SCADA 的风电场数据集以及 DTU 的 SOLETE 风力机数据集；数据集以 CSV 格式提供，便于可复现研究。Two processed wind power datasets for short-term forecasting research, including a SCADA-based wind farm dataset from Xinjiang, China, and the SOLETE wind turbine dataset from DTU. The datasets are provided in CSV format to facilitate reproducible research.

已取代并撤回——未经验证的效应量数据集，请勿使用或引用。已由 github.com/JK-Sah/carbonation-lca-review 替代，参见 CORRECTION.md。SUPERSEDED AND WITHDRAWN — unverified effect-size dataset; do not use or cite. Replaced by github.com/JK-Sah/carbonation-lca-review. See CORRECTION.md

iNPH 诊疗路径中分母特异性转归的系统综述与 Meta 分析的数据、代码与审计追踪（PROSPERO CRD420261458736）Data, code, and audit trail for the systematic review and meta-analysis of denominator-specific transitions in the iNPH care pathway (PROSPERO CRD420261458736)

一组科学与医学写作样例集合，包括通俗摘要、论文风格写作和临床摘要。A portfolio of scientific and medical writing samples, including lay summaries, manuscript-style writing, and clinical summaries.

论文《Airflow Representation in Hygrothermal Modelling for Moisture Risk Assessment of Building Envelopes: A Critical Review of 45 years》（A. Sarkany 等）数据集。Dataset for "Airflow Representation in Hygrothermal Modelling for Moisture Risk Assessment of Building Envelopes: A Critical Review of 45 years" by A. Sarkany et. al.

本仓库收录了我关于超透镜（metalens）的研究日志与学习笔记，主要用作个人记录空间，用于整理讲义、代码与文献综述；任何对平面光学感兴趣的人也可使用。This repository contains my research logs and study notes on metalenses. It serves primarily as a personal bookkeeping space to document lecture notes, code, and literature reviews, though anyone interested in flat optics is welcome to use these resources.

232M token 的 LLM 训练语料库：140 个颠覆性编程范式（60 个基础 + 80 个神经科学启发）+ 10 个神经 AI 表格数据集。真实神经科学内容：STDP、预测编码、自由能、海马体、Hebb。包含 JSONL+JSON+CSV。142,800 条范式条目 + 100K 神经样本。232M-token LLM training corpus: 140 disruptive programming paradigms (60 foundational + 80 neuroscience-grounded) + 10 neuro AI tabular datasets. Real neuroscience: STDP, predictive coding, free energy, hippocampus, Hebb. JSONL+JSON+CSV. 142,800 paradigm entries + 100K neuro samples.

60 个神经科学启发的软件架构范式。真实研究（Hebb、Bi & Poo、Friston、Buzsaki、Moser、Hodgkin-Huxley）映射到软件模式。61,200 条 JSONL 条目，约 82M token。全英文。60 neuroscience-grounded paradigms for software architecture. Real research (Hebb, Bi & Poo, Friston, Buzsaki, Moser, Hodgkin-Huxley) mapped to software patterns. 61,200 JSONL entries, ~82M tokens. All in English.