Skill UI

Provides detailed guidelines for creating high-standard clinical figures and tables, modeled after leading medical journals (e.g., The Lancet). It covers essential display items including Table 1 (baseline characteristics), Kaplan-Meier survival curves (with numbers-at-risk), Forest plots for meta-analyses, CONSORT/PRISMA flow diagrams, and global maps. The guide emphasizes the rigorous reporting of 95% confidence intervals (CIs) and proper statistical methods to ensure scientific accuracy.

A comprehensive guide for drafting and revising high-level microarchitecture papers for top-tier conferences. It mandates the rigorous 'four-beat argument' structure: starting with characterization evidence, defining the insight, detailing the mechanism, and completing with thorough cost accounting. This ensures the paper is a defensible engineering argument.

This comprehensive guide helps authors determine if their materials science manuscript meets the high conceptual bar set by Nature Materials. It covers expected advances (e.g., new design principles, structure-property relationships), required experimental evidence (e.g., state-of-the-art characterization, mechanistic proof), and necessary house style guidelines for cross-disciplinary readability.

This comprehensive guide helps authors rigorously assess if their nanoscience research meets the high conceptual and methodological bar set by Nature Nanotechnology. It covers identifying true conceptual breakthroughs, ensuring direct nanoscale characterization, checking structural requirements, and following the latest submission guidelines. Use this tool to determine if your work constitutes a milestone advance.

This comprehensive guide outlines best practices for creating key clinical display items, including Table 1 (baseline characteristics), Kaplan-Meier curves, Forest Plots, and CONSORT diagrams. It emphasizes statistical rigor (e.g., using standardized differences instead of P values for baseline), ensuring numbers-at-risk, and maintaining consistency across all reporting elements for high-impact medical publications.

This guide outlines advanced methodologies for achieving high reproducibility in networked-systems research. It details capturing crucial provenance ledgers—including topology, traffic traces, system configuration, and run details—to ensure that published results are verifiable and not dependent on ephemeral experimental conditions. It emphasizes characterizing inherent variance rather than demanding absolute determinism, providing a rigorous framework for academic publication.

This comprehensive guide assists reviewers and authors in determining the most appropriate venue for programming language research within the SIGPLAN community. It provides a detailed 'center-of-mass' test, helping categorize contributions based on whether they emphasize metatheory (POPL), performance engineering (PLDI), functional techniques (ICFCP), or the broad design scope characteristic of OOPSLA. It guides the decision-making process for academic submissions.

This guide provides comprehensive standards for analyzing and reporting results in Organization Science, a field characterized by diverse methodologies. It ensures methodological rigor and transparency whether the work is qualitative (establishing trustworthiness), quantitative (matching estimators to design), computational (reporting seeds and sensitivity), or formal/analytical. It emphasizes full reproducibility and mechanism-based inference.

This comprehensive guide assists authors in assessing whether their manuscript, focusing on condensed matter or materials physics, is appropriate for Physical Review B (PRB). It details the journal's specific scope, the required scientific rigor (e.g., computational transparency, experimental characterization), and the house style for maximizing submission success within this specialized academic domain.

A comprehensive guide for authors in data systems and related fields on achieving rigorous, verifiable reproducibility for academic papers. It mandates detailing the provenance of every claimed result by pinning five critical layers: code version, configuration parameters, dataset source, workload characteristics, and hardware specifications. Best practices include reporting distributions (e.g., percentiles, variance) and maintaining a detailed 'repro debt ledger' to withstand intense peer review.

A comprehensive guide detailing the strategy, structure, and tactical writing needed for successful academic conference rebuttals (e.g., UIST). Learn how to manage character limits, prioritize factual corrections, promise concrete changes, and structure arguments to survive committee skimming, maximizing your chances of acceptance.

This guide helps researchers structure and refine academic papers for the Journal on Communications (JOC). It provides a framework for separating core, decision-making content (main text) from supporting details (appendices/supplementary material), ensuring the manuscript remains scientifically rigorous yet adheres to strict length constraints (e.g., ~12000 characters). It teaches how to use a 'decisive three-question' standard.