仓库/Skill 库

开放研究项目：对乳腺癌、肺癌与黑色素瘤领域近期肿瘤学临床试验进行 meta 分析。Open research project: Meta-analysis of recent oncology clinical trials across breast cancer, lung cancer, and melanoma

使用 SPSS 统计分析，分析 AI 语言模型对沟通、创造力与信息流影响的研究项目。Research project analyzing the impact of AI language models on communication, creativity, and information flow using SPSS statistical analysis.

系统综述数据分析仓库：基于机器学习技术的自闭症谱系障碍儿童情绪识别Data analysis repository for systematic literature review on emotion recognition in childrens with Autism Spectrum Disorder using machine learning techniques

支持神经保留 RARP 术中热规避与能量使用系统综述及 meta 分析的衍生数据与 R 代码。Derived data and R code supporting a systematic review and meta-analysis of thermal avoidance versus energy use during nerve-sparing RARP.

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)

多源科学与文献及数据集搜索引擎，作为 MCP server 为 AI Agent 提供服务。Multi-source scientific literature and dataset search engine, built as an MCP server for AI agents.

文章《Approach-avoidance tendencies and physical activity level: A systematic review and meta-analysis》（趋近-回避倾向与体力活动水平：系统综述与 Meta 分析）的代码、数据及相关材料。Codedata, and material for the article: "Approach-avoidance tendencies and physical activity level: A systematic review and meta-analysis"

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.

MMLA 在发展中经济体与 LMIC 中的综合系统综述。A Comprehensive Systematic review of MMLA in developing economics and LMIC.

论文 "Composite endpoints sharing a name do not always share a definition — a registry-based audit of five systematic reviews, and why heterogeneity statistics do not detect the problem" 的配图与补充材料。Figures and supplementary materials accompanying the manuscript “Composite endpoints sharing a name do not always share a definition — a registry-based audit of five systematic reviews, and why heterogeneity statistics do not detect the problem.

一个累积式的金融、经济学与量化研究学术论文库A cumulative library of academic papers in finance, economics and quantitative research.

Space Frontiers 是一家怀俄明州公司，其搜索与 AI 产品 Machine Library（前身为 Space Frontiers search，于 2026-09-12 迁至 machinelibrary.ai）是一个全文检索 API 与托管 MCP server，覆盖约 29 亿条记录的语料库：包括同行评审论文（CrossRef、PubMed、arXiv）、书籍、USPTO 专利、Wikipedia……Space Frontiers is a Wyoming corporation whose search and AI product, Machine Library (formerly Space Frontiers search, moved to machinelibrary.ai on 2026-09-12), is a full-text retrieval API and hosted MCP server over a corpus of roughly 2.9 billion records: peer-reviewed papers (CrossRef, PubMed, arXiv), books, USPTO patents, Wikipedia…

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.

Hands-on 实验 2：基于合成技术语料构建 RAG pipeline，并通过沙箱化 NemoClaw agent 提供服务，附带 EN/VI 双语 GUI demo。Hands-on 2 lab: build a RAG pipeline over a synthetic technical corpus and serve it through a sandboxed NemoClaw agent, with a bilingual (EN/VI) GUI demo.

一个基于 C# 与本地 LLM 的学术论文 RAG（Retrieval-Augmented Generation）系统。目标是摄入研究论文语料，构建可回答文献综述类问题（如"其他论文关于 X 发现了什么"）的系统，回答严格基于真实源材料。A RAG (Retrieval-Augmented Generation) system for academic papers using C# and a local LLM. The goal is to ingest a corpus of research papers and build a system that can answer literature review questions like "what have other papers found about X"; grounded in the actual source material.

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.

研究纽约州的反智主义Studying anti-intellectualism in the state of New York.