Skill UI

This comprehensive guide helps authors assess if their manuscript is a suitable fit for Proceedings of the IEEE. It details the journal's high standards, guiding the transformation of primary research into comprehensive, balanced, and forward-looking review, survey, or tutorial articles. Use this resource to understand the required scope, synthesis depth, and common pitfalls to avoid desk rejection.

This guide provides a framework for selecting and defending the appropriate research methodology for innovation-studies claims. It covers best practices for patent/bibliometric analysis, causal policy evaluation (e.g., DID, RDD), survey design, case studies, and mixed methods. It emphasizes that the method must fit the construct, not merely the indicator, guiding users to defend the underlying theoretical mechanism.

A comprehensive guide for authors considering submission to SIAM Review. This skill evaluates whether a manuscript fits the journal's expository, broad-readership mandate for applied and computational mathematics. It outlines requirements for different sections (e.g., Survey, Research Spotlights), covering accessibility, technical rigor, structure, and official submission checklists.

This comprehensive guide helps researchers defend their complex study designs—whether they involve lab experiments, large-scale surveys, or qualitative observations—against rigorous methodological critique. It emphasizes establishing a clear, credible link between theoretical mechanisms and empirical evidence, focusing specifically on the structure-individual link. It covers advanced inference techniques, identifying potential confounding variables, and articulating the design's limitations.

A comprehensive guide for structuring the 'Related Work' section for top-tier HCI conferences (e.g., UIST). This document emphasizes that the section must function as a novelty proof, not a literature survey. It teaches authors to organize content by capability delta, utilize detailed comparison tables, and trace three critical lineages: technique, toolkit, and commercial practice, ensuring the work's unique contribution is clearly established.

This skill generates comprehensive, academic-style survey papers as a single, self-contained HTML file. By reading an anchor resource and curating research data, it structures the content and utilizes advanced LLMs (like Kimi K2.6 via Fireworks) to generate all prose, figures, and bibliographies, suitable for rapid academic literature review.