Skill UI

This comprehensive guide outlines the mandatory steps for transforming an accepted, anonymized academic paper into the final ACM Digital Library Camera-Ready format. It covers de-anonymization, adhering to ACM metadata standards (DOI, ORCID, CCS concepts), integrating reviewer feedback, and ensuring permanent reproducibility of code and traces.

A comprehensive resource for academics targeting the South China Journal of Economics. It provides deep insight into the journal's scope, preferred topics (e.g., Greater Bay Area, open economy, digital economy), rigorous submission standards (anonymous review, fee-free), and structural requirements. Use this guide to evaluate manuscript fit, optimize framing, and reduce the risk of desk rejection before official submission.

A specialized guide for researchers targeting the journal Taxation Research. It helps users vet their manuscripts for alignment with the journal's scope, structure, and academic expectations. The skill covers core themes such as tax reform, digital taxation, and international tax, while providing detailed advice on abstract writing, citation styles, methodology strength, and avoiding common rejection pitfalls.

A comprehensive guide for researchers on assessing the suitability of digital health, AI/ML, or health informatics manuscripts for The Lancet Digital Health. It outlines the journal's strict standards for clinical rigor, external validation, reporting guidelines (TRIPOD, CONSORT-AI), and evidence required for publication.

A comprehensive guide detailing the workflow for converting an accepted academic manuscript into its final, archival format for major digital libraries (e.g., ACM Digital Library). It covers critical steps including completing e-rights forms, de-anonymizing content, verifying CCS concepts and keywords, managing metadata, and troubleshooting common production pitfalls to ensure successful publication.