仓库/Skill 库

MeterSphere v2.10 个人开发分支 — 一站式开源持续测试平台。工作流引擎(Flowable 7) · 需求池(从0到1) · 微前端(qiankun→micro-app) · AI知识库 · 测试跟踪，含个人笔记与创意项目。

一个用于研究入侵检测系统 (IDS) 在时间分布漂移下何时应进行适应的可复现研究框架。该项目评估了一个分阶段决策流水线，结合漂移筛查、新颖性检测与成本感知的适应触发器，以判断重训练是否必要且有益。A reproducible research framework for investigating when an Intrusion Detection System (IDS) should adapt under temporal distribution shift. The project evaluates a staged decision pipeline combining drift screening, novelty detection, and cost-aware adaptation triggers to determine whether retraining is necessary and beneficial.

论文一：NL2SQL 歧义检测——M1.5 分类法、确定性基线、人工金标评估与可复现研究制品Paper 1: NL2SQL Ambiguity Detection — M1.5 taxonomy, deterministic baseline, human-gold evaluation, reproducible research artifact

HateMirage——可解释的伪仇恨检测与多维推理，ICON 2026 共享任务。在 HateMirage 语料库（4,530 条带标注的伪仇恨评论）上进行目标识别 + 意图与隐含意义生成。HateMirage - Explainable Faux Hate Detection and Multi-Dimensional Reasoning - Shared Task @ ICON 2026. Target identification + Intent and Implication generation over the HateMirage corpus (4,530 annotated Faux Hate comments).

SURF2026 计算金融项目，研究感知自由边界的美式期权风险曲面，使用 CN/PSOR 基准、文献综述、实验报告以及 Codex 辅助的分步研究规划SURF2026 computational finance project on free-boundary-aware American option risk surfaces, using CN/PSOR benchmarks, literature review, experiment reports, and step-by-step Codex-assisted research planning.

使用 R 进行荣誉研究项目的源码与统计分析。Source code and statistical analysis for my honours research project using R.

面向 Neuro-Olfactive Intelligence 的专有可复现研究框架Proprietary reproducible research framework for Neuro-Olfactive Intelligence

《面向可持续制药制造的混合人工智能：系统综述、分类法、整合框架与研究议程》的数据、代码与补充材料Data, code, and supplementary materials for Hybrid Artificial Intelligence for Sustainable Pharmaceutical Manufacturing: A Systematic Review, Taxonomy, Integrative Framework, and Research Agenda

可复现研究：基于基准、统计模型与走步前向验证，检验可解释的市场信号能否预测 SPY 的五日方向。Reproducible research testing whether interpretable market signals can forecast SPY’s five-day direction using benchmarks, statistical models, and walk-forward validation.

来自 Principia 的研究问题合集Collective gatherings of research questions from Principia

系统综述《Artificial Intelligence for Agricultural Residue Burning Monitoring》的数据、筛选记录与补充材料。Data, screening records, and supporting materials for the systematic review “Artificial Intelligence for Agricultural Residue Burning Monitoring.”

面向人脸域去风格化、结构条件化、评估与质量过滤的紧凑型可复现研究流水线。Compact reproducible research pipeline for face-domain destylization, structural conditioning, evaluation, and quality filtering.

论文《Prompt Skill Matters: Examining GenAI Interaction and Writing Quality in L2 Academic Writing》的复现材料、统计分析脚本与补充数据，AI 介导的 L2 写作研究开放科学资源。Replication materials, statistical analysis scripts, and supplementary data for the study 'Prompt Skill Matters: Examining GenAI Interaction and Writing Quality in L2 Academic Writing'. Open science resource for AI-mediated L2 writing research.

计算两位独立评分者在系统评价所用 5 项方法学严谨性标准（检测性能、理论基础、计算效率、可解释性、生态相关性）上的 Cohen's kappa（非加权与二次加权）、一致率、平均绝对差及 Spearman 相关系数。Computes Cohen's kappa (unweighted & quadratic-weighted), percent agreement, mean absolute difference, and Spearman correlation between two independent rators' scores across 5 methodological rigour criteria (detection performance, theoretical foundation, computational efficiency,interpretability, ecological relevance) used in the systematic review.

推进并系统评估 BV-BRC Copilot，从研究问题和已发表方法生成、执行并复现生物信息学工作流。Advancing and systematically evaluating BV-BRC Copilot for generating, executing, and reproducing bioinformatics workflows from research questions and published methods.

追踪并比较每一个严肃的 OpenClaw 替代方案——基于实测仓库数据与 AI 撰写的决策支持，且刻意保持独立。Track and compare every serious OpenClaw alternative — measured repo data, AI-written decision support, kept apart on purpose.

培养有效查找、评估和使用信息的技能。本课程指导你制定研究问题、选择关键词、检索图书馆资源、评估来源、获取可信信息，以及负责任地使用和引用来源以完成学术研究。Build the skills to find, evaluate, and use information effectively. This course guides you through developing research questions, choosing keywords, searching library resources, evaluating sources, accessing credible information, and using and citing sources responsibly for academic research.

FraudBench-Hybrid 是一个面向时序银行欺诈检测的可复现研究框架，仓库包含数据集配置、防数据泄露的 Heavy Hybrid 集成实现、实验评估、结果、可视化分析及未来研究扩展资料FraudBench-Hybrid is a reproducible research-based framework developed for temporal bank fraud detection. This repository will include dataset configuration, leakage-controlled Heavy Hybrid ensemble implementation, experimental evaluation, results, visual analysis, and material for future research extensions.

综述基于性状的方法以量化农业对土壤无脊椎动物影响的研究A systematic review of trait-based approaches to quantify agricultural impacts on soil invertebrates

一个基于 Web 的标注平台，用于手工标注与公共空间相关的 STOMP 文章。该应用支持人工标注员对文章进行分类、回答结构化研究问题，并导出标注结果以用于计算社会科学研究。A web-based annotation platform for manually labeling STOMP articles related to common spaces. The application enables human annotators to classify articles, answer structured research questions and export annotations for computational social science research.

用于复现 https://arxiv.org/abs/2106.12905 中图示所使用代码与数据的仓库。A repository to story the code and data used to create the figures shown in https://arxiv.org/abs/2106.12905

仓库包含文章与 Excel 文件，收录系统综述《人工智能方法在实体瘤疗效评价标准中的应用》中的 CLAIM 与 FUTURE-AI 评估。Repository containing articles and Excel files with CLAIM and FUTURE-AI assessments for the systematic review Artificial intelligence approaches to the Response Evaluation Criteria in Solid Tumors: a systematic review.

PRISMA 指导的混合方法系统综述，跨 4 项实证研究评估 AI 陪伴的社会心理、关系及长期心理健康影响。包含定量与定性 meta 综合、跨方法三角验证与理论框架映射。A PRISMA guided mixed methods systematic review evaluating the psychosocial, relational and long term mental health impacts of AI companions across 4 empirical studies. Features quantitative and qualitative meta synthesis, cross methodological triangulation and theoretical framework mapping

使用 EMI Corpus of Student Academic Writing（Gablasova et al., 2024）中的 449 篇文章，检验写作者 L1 背景是否调节 22 项 USAS 语义域频率与作文分数之间的关系。How to use 449 essays from the EMI Corpus of Student Academic Writing (Gablasova et al., 2024) to test whether a writer's L1 background moderates the relationship between 22 USAS semantic-domain frequencies and essay scores.

硕士论文（KCL）：在攻击者-机器留出划分下重新衡量 IoT 入侵检测，并测试基于 LLM 的报文预测是否能提升性能。移除泄露后，macro-F1 从 0.90 降至 0.60。MSc dissertation (KCL): re-measuring IoT intrusion detection under an attacker-machine holdout, and testing whether LLM-based packet prediction improves it. macro-F1 0.90 -> 0.60 once leakage is removed.

Shadow / Unmanaged API 的发现、分类、安全验证与可复现研究基准。Shadow / Unmanaged API discovery, classification, security validation, and reproducible research benchmarks

基于反事实决策影响与验证效用的效用引导型政策验证可复现研究框架A reproducible research framework for utility guided policy verification using counterfactual decision impact and verification utility.

无人机系统（UAS）在生态学研究中应用的系统综述。Systematic Review of UAS use in ecological research

在 LaTeX 文档中分析英文散文，评估可读性与结构复杂度。Analyze English prose in LaTeX documents for readability and structural complexity.