ICP monitoring for b-waves

This document provides a clear, step-by-step introduction to calculating and interpreting Odds Ratios (OR) using R. Using a practical health science scenario (Smoking and Lung Cancer), it demonstrates how to build a 2x2 contingency table, extract individual group odds, and replicate the results using both the epitools package and logistic regression (glm).It is specifically designed for beginners, featuring plain-English explanations of data framing, factor levels, and how to avoid common coding layout traps like inverted risk estimates.

Generative artificial intelligence is reshaping information access by moving search interfaces from ranked records toward synthesized answers. In academic library contexts, however, answer-centered retrieval-augmented generation leaves unresolved problems of provenance, exploratory discovery, knowledge organization, trust calibration, and institutional accountability. This conceptual article reframes the problem by introducing the LLM Wiki as an AI-generated, semi-persistent, interlinked knowledge organization layer that mediates between library collections and users. Rather than treating retrieval as a hidden pipeline for answer production, the LLM Wiki reorganizes retrieved records, metadata, abstracts, and full text where available into inspectable topic pages, claim-source maps, source clusters, concept links, revision histories, and provenance trails. Drawing on information retrieval, exploratory search, knowledge organization, algorithmic accountability, and human-AI intermediation, the article develops a theory-building framework that distinguishes answer-centered RAG from wiki-mediated AI search. The framework identifies four core functions of the LLM Wiki: representational scaffolding, exploratory navigation, provenance exposure, and human-AI knowledge maintenance. The article further proposes design principles and an evaluation agenda for responsible implementation in academic library search. Its central contribution is to shift the study of generative AI search from answer generation toward accountable knowledge intermediation, where AI-generated representations become objects of navigation, verification, correction, and institutional stewardship.

An interactive R Markdown storyboard analyzing IFRC GO Platform disaster response data (Emergency Events, Appeals, and Countries datasets, 2019–2026). Explores global disaster trends, regional vulnerability, funding gaps, and preparedness patterns through 10 data-driven frames, including an interactive choropleth map and a Bangladesh case study. Built for STQD6124 Data Visualization, MSc Data Science & Analytics, Universiti Kebangsaan Malaysia.

Análisis de Consistencia y Absorción Laboral - Programa de Beca Mi Primer Empleo. Ministerio de Trabajo y Previsión Social - Dirección de Estadísticas Laborales

M&E Data Sources: Finding, Evaluating & Collecting the Right Evidence

Interactive map of TSMC's global manufacturing and R&D footprint developed for an undergraduate dissertation on geopolitics and the semiconductor industry.