仓库/Skill 库

用于学术演示的 LaTeX Beamer 模板。A LaTeX Beamer template for academic presentations.

Per：按 vault 隔离的本地优先引文管理器，灵感来自 Mendely 和 Zotero。Per vault/local-first citation manager inspired by Mendely and Zotero

基于调整后参赛阵容得分均值对美国公开赛球场难度进行统计分析，并以女子公开赛、业余赛及阵容强度数据进行交叉验证。包含 Welch's t 检验、ANOVA 以及 2021 年自然实验。配套论文的补充代码与数据Statistical analysis of U.S. Open golf venue difficulty using adjusted field scoring averages, cross-validated against Women's Open, Amateur, and field-strength data. Includes Welch's t-tests, ANOVA, and a 2021 natural experiment. Supplementary code and data for accompanying research paper.

研究问题：在脓毒症发生前检测患者 — 使用分类算法实现脓毒症的早期检测Research Question: Detect Sepsis in Patients Before it Emerges - Early Detection of Sepsis using Classification algorithms

用于相关研究项目的统计分析脚本。Statistical analysis scripts used in the associated research project

用于将各类文档排版为 UGent 风格的 LaTeX 宏包。LaTeX package for typesetting various documents to UGent house style

面向 Voynich Manuscript 多尺度结构的可审计可复现研究。Audited reproducible research on multiscale structure in the Voynich Manuscript

面向初中试卷参考答案的生成、校验、渲染与 PDF 交付工具链。

实习项目：针对癌症治疗前营养的系统综述、证据综合、证据图谱以及面向患者与临床工作者的资源开发Placement project: systematic review, evidence synthesis, evidence mapping, and development of patient and clinician resources on pre-treatment cancer nutrition.

关于 AI、IoT、UAV、高光谱传感及其他数字技术用于稻瘟病检测、监测、预测与管理的系统综述的可复现分析流水线与配套数据。Reproducible analysis pipeline and supporting data for a systematic review of AI, IoT, UAV, hyperspectral sensing, and other digital technologies for rice blast detection, monitoring, prediction, and management.

面向 swarmstatus.com 的开放性研究问题与证据综述。Open research questions and evidence reviews for swarmstatus.com

本仓库记录了我通过对研究论文的结构化分析、文献综述以及对基因组学、转录组学、生物信息学和 AI 在生命科学中应用的笔记，对计算生物学的持续探索。This repository documents my ongoing exploration of computational biology through structured analyses of research papers, literature reviews, and notes on genomics, transcriptomics, bioinformatics, and AI applications in life sciences.

面向系统文献综述的确定性、饱和度感知滚雪球方法：可配置的停止规则、捕获-再捕获召回率估计、哈希校验的可复现性。Deterministic, saturation-aware snowballing for systematic literature reviews: configurable stopping rules, capture-recapture recall estimation, hash-verified reproducibility.

常态化跨领域研究智库：系统评价与方法学文档，特色方法是对零结果与阴性结果的取证式处理。A standing cross-domain research think tank: systematic reviews and methodology documentation, with forensic treatment of null and negative results as its distinctive method.

简介：使用机器学习与数据挖掘技术预测学业表现。技术栈：Python、机器学习、数据科学 AI 研究实验室。教育数据挖掘文献综述、数据集采集与预处理、分类算法实现、模型性能对比、学业成功影响因素分析Description: Predict academic performance using machine learning and data mining techniques Technology: Python, Machine Learning, Data Science AI Research Lab Literature review on educational data mining Dataset collection and preprocessing Implement classification algorithms Compare model performance Analyze factors affecting student success

硕士研究项目中用于统计分析与数据可视化的 R 脚本R scripts used for statistical analysis and data visualisation in my MSc research project.

新西兰 PIC Party 项目，涉及为期 59 天的政党注册议题、独立选区候选人、基于良知的政府组建以及正在浮现的生活成本政策。本站呈现提案、研究问题、政治讽刺与政策建模；非选举委员会建议，不代表官方选举。PIC Party New Zealand project, the 59-day party-registration issue, independent electorate candidates, conscience-based government formation and emerging cost-of-living policy. This site presents proposals, research questions, political satire and policy modelling. It is not Electoral Commission advice and does not represent an official election.

葡萄牙国家预算执行数据分析 — 基于 pandas 的数据流水线，并针对公共支出模式提出五个研究问题Analysis of Portuguese State Budget execution data — pandas pipeline and five research questions on public spending patterns

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.

本仓库包含用于结构化数据新型类别不平衡学习方法系统文献综述的 Python 流水线与最终数据集，支持文章自动筛选，并提供文章级与实验级摘要，包括所用数据集与报告的性能结果。This repository contains a Python-based pipeline and final dataset used in a Systematic Literature Review on novel class imbalance learning methods for structured data. It supports automated article filtering and provides article- and experiment-level summaries, including datasets used and reported performance results.

适用于大学作业的易用 LaTeX 模板，支持数学、代码、图片与 D2 图表Accessible LaTeX template for university homework with math, code, images, and D2 diagrams

展示学术写作与技术传播成果的专业数字作品集。Professional digital portfolio showcasing my academic writing and technical communication work.

守护你的 .bib 文件：在写入前验证引用，查找每篇论文的真实出版信息，并保持整个参考文献格式统一。纯标准库 Python，无需 pip，无需 API key。Your .bib, guarded: verify a citation before it is written, find where each paper was really published, and keep the whole bibliography in one format. Stdlib-only Python, no pip, no API key required.

基于 Codex、LaTeX、TeX Live 与 VS Code 的双语可复现学术写作工作流。A bilingual, reproducible workflow for academic writing with Codex, LaTeX, TeX Live, and VS Code.

完整的 S&P 500 质量评分项目：数据采集与剖析、修正板块/子行业错配、清洗异常值与缺失值、将 5 项指标归一化为综合得分、回答全部 4 个研究问题，并搭建交互式 Power BI 仪表盘Complete S&P 500 Quality Score project: sourced and profiled data, fixed the sector/sub-industry mismatch, cleaned outliers and missing values, normalized 5 metrics into a composite score, answered all 4 research questions, and built an interactive Power BI dashboard.

本项目研究金融市场的统计特性、不同资产的收益行为、风险测度以及跨市场关联的量化方法，奠定量化研究的核心技能基础。This project investigates the statistical properties of financial markets, how different assets behave, how risk is measured, and how inter-market relationships can be quantified; building the core skills used in quantitative research.

期刊查找工具，支持 DGRSDT Class A/B 高级分类与识别，可按出版方、审稿周期、四分位等筛选。Journal Finder with advanced classification and identification compatible with DGRSDT Class A/B, filter by publisher, decision time, quartiles,.etc

应用 AI、可复现研究与可靠工程。Applied AI, reproducible research, and reliable engineering.

符合 NASA、ESA、CSA 规范的 FAIR 开放科学、开源软件与可复现研究。代码许可：EUPL 1.2。数据/文档许可：CC BY-SA 4.0。通过 Zenodo/OSF 分配 DOI。研究者：Louis-Philippe Audette | psivi.comFAIR open science, open-source software, and reproducible research aligned with NASA, ESA, and CSA. Code: EUPL 1.2. Data/Docs: CC BY-SA 4.0. DOIs via Zenodo/OSF. Researcher: Louis-Philippe Audette | psivi.com

涵盖项目开发、研究、公共卫生与政策领域的数据分析、统计分析与数据可视化项目精选集A collection of selected data analytics, statistical analysis, and data visualization projects developed across project development, research, public health, and policy.

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.