Skill UI

This tool polishes academic prose for Operations Research (OR) manuscripts, ensuring adherence to strict house styles like INFORMS. It enforces critical rules such as an equation-free introduction, a text-only abstract under 200 words, and clear theorem-proof exposition. Use this when your draft is complete and needs to meet the rigorous standards of an OR publication.

A comprehensive pre-submission audit checklist for academic papers targeting conferences like PODS. It meticulously covers formatting requirements (e.g., acmsmall template, 15-page budget), strict double-anonymous review rules, conflict of interest declaration, and critical deadlines, ensuring submissions are ready for platforms like EasyChair.

A comprehensive checklist for authors preparing manuscripts for academic journal submission via platforms like ScholarOne Manuscripts. It guides users through essential compliance checks, including maintaining double-anonymity, adhering to free format requirements, and ensuring all required metadata (ORCID, data availability statement) is included, helping authors prevent common rejection reasons before actual submission.

This guide outlines the necessary steps to ensure that parallel computing performance papers are scientifically reproducible. Since parallel results depend heavily on machine architecture, topology, and runtime conditions, proper documentation must cover everything from CPU/GPU specifications and interconnects to thread pinning policies, random seeds, and compiler flags. The focus is on proving the scaling trend, not just the absolute numbers, allowing results to hold true across different hardware platforms.

A comprehensive skill for advanced meta-analysis in psychology, designed to assess the reliability and sources of heterogeneity. It performs moderator/subgroup analyses (meta-regression) to explain effect size variation and runs multiple publication-bias diagnostics (e.g., Funnel plot, Egger's test, p-curve, selection models). Essential for rigorous academic reporting requiring robust evidence and sensitivity checks.

This skill guides authors on how to proactively strengthen their academic manuscripts before submission, especially for highly demanding journals. It involves identifying the most likely expert reviewers, predicting their specific methodological, theoretical, or empirical objections, and strategically integrating countermeasures, robustness checks, and alternative explanations directly into the main text. It transforms the submission process from a defensive reaction to a proactive, structured argument.

This guide details the critical post-acceptance process for SIGMOD papers, transitioning the work from a conference submission template to the final PACMMOD journal format. It covers complex technical porting, de-anonymization (restoring author names, funding, etc.), managing metadata submission (ORCID, rights forms), and publishing the associated digital artifact for reproducibility.

This guide provides rigorous guidelines for integrating various forms of empirical evidence—including quantitative data, qualitative case studies, and historical comparisons—into advanced social science manuscripts. It emphasizes that evidence must actively support or test the core proposition, requiring authors to translate raw findings into conceptual insights and mechanisms, rather than simply presenting methods or data.

This guide clarifies the role of computation in theoretical computer science submissions, particularly for venues that prioritize theorems over empirical data. It distinguishes between legitimate forms of evidence—such as certified proof steps, constructive object discoveries, and illustrative examples—and inappropriate performance benchmarking. It helps researchers structure their work to align with theorem-based research, ensuring computational elements enhance the core theoretical contribution.

This comprehensive guide details the mandatory production steps required after a research paper is accepted for publication in Springer LNCS. Key tasks include de-anonymizing the manuscript (restoring true names, affiliations, and funding details), applying the specific llncs.cls format, finalizing metadata with ORCIDs, integrating reviewer feedback, permanently linking artifacts using DOIs, and completing the CC-BY open-access licensing forms.

This comprehensive checklist guides researchers through the final stages of academic manuscript preparation for submission to major journals via platforms like ScholarOne. It covers critical technical requirements, including word count limits (12,500 words), abstract length (150 words), adherence to triple-blind anonymity standards, proper formatting (World Politics Style Sheet), and ethical compliance (APSA guidelines). Use this guide before hitting the submit button to minimize avoidable rejections.

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.