Skill UI

This guide offers detailed guidelines for assembling and auditing supplementary materials for top-tier AI conferences (e.g., IJCAI). It covers critical aspects like separating the technical appendix from resubmission files, ensuring anonymity across all artifacts, maintaining the self-contained nature of the core paper, and managing source code and data for maximum reproducibility.

This comprehensive guide provides best practices for designing, running, and reporting computational experiments for academic journals. It teaches authors how to make performance claims scientifically defensible by addressing potential referee criticisms (e.g., tuning artifacts, seed luck). It covers advanced statistical techniques (performance profiles, nonparametric tests) and details the full structure required for a complete, verifiable GitHub data deposit.

This package ensures full reproducibility for international macroeconomics research. It is designed for projects utilizing complex, multi-source, and often restricted data (such as IMF or central bank files). It mandates capturing the entire data lineage, pinning the execution environment (R, Python, Stata), and documenting access instructions, allowing any authorized replicator to rebuild the analysis from scratch.

A comprehensive guide for authors preparing rebuttals to multiple reviewers at INTERSPEECH. It provides strategic advice on tailoring responses to diverse expert profiles (e.g., speech engineers vs. scientists), managing the 4-page constraint, maintaining anonymity, and structuring responses to maximize impact on the meta-reviewer. Essential for authors navigating the competitive academic publication process.

A comprehensive guideline for establishing and documenting the reproducibility of complex sensor-systems artifacts. It covers necessary components such as firmware sources, detailed hardware Bills of Materials (BOMs) and board files, raw sensor traces, ground truth data, and calibrated measurements. Use this guide to ensure that scientific claims can be verified by a competent reader, detailing the exact dependencies on physical equipment and software toolchains.

A comprehensive guide for structuring the evidence bundle required for robotics research submissions. It details the critical components—including hardware ledgers, time-stamped logs, configuration files, code, and data—necessary to ensure that scientific claims are fully auditable and reproducible, addressing the needs of skeptical reviewers.

This guide provides rigorous guidelines for structuring and validating experimental results in computer architecture papers. It covers essential aspects like declaring simulation methodology contracts, ensuring result reproducibility through manifest files, selecting representative workloads, and performing detailed attribution and sensitivity analyses to distinguish true architectural gains from modeling artifacts.

This comprehensive checklist guides authors through the final mechanical and structural gatekeeping phase before submitting a scientific manuscript to top-tier journals (e.g., JACS). It ensures all required elements—including supporting information, crystal structure files (CIFs), complex formatting, and ethical disclosures—are correctly prepared, significantly reducing the risk of immediate rejection or revision requests due to procedural errors.

This comprehensive guide provides authors with a step-by-step workflow for submitting manuscripts to the Journal of Accounting and Economics (JAE) via Elsevier's Editorial Manager. It details crucial requirements, including executing double anonymization, formatting specific metadata (Highlights, JEL codes, Keywords), managing submission fees, and ensuring all files are correctly sequenced for the final review PDF.

This comprehensive guide serves as a critical preflight checklist for authors submitting manuscripts to high-impact journals like JAMA. It meticulously verifies completeness across multiple dimensions, including adhering to specific word/format limits, confirming required ethical statements (IRB, COI, data sharing), and ensuring all supplementary files (e.g., CONSORT/PRISMA checklists, flow diagrams) are correctly uploaded. It is designed as a final quality gate to prevent common submission errors.

This guide outlines the mandatory data and code deposit policy for articles published in the Journal of Applied Econometrics (JAE). Authors must submit a complete, non-confidential set of input data (plain ASCII/CSV), programs that replicate every result, and a detailed README file. It emphasizes strict adherence to archival format rules, ensuring the research is fully reproducible for the academic community.

This comprehensive guide outlines established best practices for developing robust, high-quality applications using Helidon 4 (SE and MP) in Java 21+. It covers API migrations, project structure, dependency management, and architectural patterns for both MicroProfile and standalone services, ensuring adherence to modern Jakarta EE standards and scalable web development patterns.