Skill UI

This skill guides researchers on positioning academic manuscripts for the Asia-Pacific Economic Review. It covers the journal's scope, focusing on regional cooperation (RCEP), national economies, international trade, and China-Asia interactions. It helps users evaluate their topic fit, strengthen theoretical frameworks, and avoid common rejection pitfalls before formal submission.

This guide provides strict guidelines for compiling and formatting scholarly exhibits (tables, figures, and appendices) for top-tier accounting journals, such as CAR. It ensures compliance with academic style guides, requiring variable definitions, clustered standard errors, and self-contained presentation so that the results are immediately interpretable by reviewers. It is crucial for transforming raw analysis output into submission-ready academic materials.

This skill provides a comprehensive guide for authors targeting top-tier Chinese academic journals, such as the Chinese Review of Financial Studies. It analyzes the journal's specific academic scope (finance theory, capital markets, etc.), required manuscript structure, submission formatting (abstract length, JEL codes, reference rules), and common pitfalls. Use it pre-submission to ensure your paper meets the high academic standards required for CSSCI-level publication.

A comprehensive guide for achieving experimental reproducibility and verifiability in academic writing, specifically targeting top-tier journals. It covers crucial aspects like fixing computing environments, managing random seeds, ensuring data provenance, preventing data leakage, and structuring scripts for external review, transforming research rigor into actionable steps.

A comprehensive guide for developing scientifically rigorous, APA-formatted tables and figures for quantitative communication research. This skill emphasizes that exhibits must be self-contained, displaying effect sizes and uncertainty (not just significance stars), and following strict reporting standards for maximum clarity for reviewers.

This comprehensive guide outlines the strict analytical and reporting standards required for top-tier conservation biology manuscripts. It covers everything from selecting appropriate statistical models (e.g., hierarchical, spatial) to honestly quantifying uncertainty, ensuring full reproducibility, and translating complex findings into actionable, decision-relevant conservation insights. Use this skill when performing main analyses or preparing manuscripts for expert peer review.

This guide details best practices for enhancing the credibility of academic manuscripts submitted to scholarly journals, particularly addressing code and data availability. It teaches authors how to proactively provide stable links, checksums, comprehensive reproducibility scripts, and clear licensing statements. The focus is on bolstering trustworthiness for single-blind review processes, even when the journal does not mandate formal artifact badges.

This comprehensive guide details the rigorous standards for conducting and reporting advanced demographic analyses. It covers essential techniques, including constructing accurate rates, performing decomposition, generating life tables, and handling event history/survival data. The core focus is on methodological rigor, ensuring the reproducibility of results, and honestly reporting uncertainty (e.g., confidence and credible intervals) to meet the standards of expert peer review.

A comprehensive guide for drafting and compressing academic manuscripts, focusing on strict formatting constraints (e.g., LNCS single-column, 14-page limit) typical of major conferences like ECCV. Learn how to structure your paper, optimize the first page for non-specialists, and phrase claims to withstand rigorous peer review and rebuttal.

This skill provides a comprehensive advisory tool for authors targeting the journal 'Economic Review Journal' (《经济纵横》). It helps users assess the fit of their academic manuscript—covering macroeconomics, policy reform, and digital transition—by analyzing the journal's scope, required academic rigor, preferred structure, and common submission pitfalls. It functions as a pre-submission quality control mechanism.

A comprehensive guide for academic researchers on structuring the 'Data and Sample' section of manuscripts for high-impact journals. It details requirements for database naming, variable definition using calculation formulas, descriptive statistics reporting (including winzorization and quantiles), and establishing full, reproducible sample selection trails. Essential for ensuring methodological rigor and passing peer review.

A comprehensive audit guide for submitting papers to ICASSP conferences. This checklist covers crucial requirements such as the mandatory 4+1 page format, single-blind review rules (including author list inclusion), CMS portal submission protocols, EDICS metadata selection, and compliance with ethical standards. Use this guide before the deadline to avoid desk rejects.