Skill UI

Provides detailed guidelines for authors on how to accurately position their research novelty within the complex landscape of formal verification techniques, tools, and academic literature. It emphasizes shifting from a simple citation catalog to a 'delta-first' contrast, clearly articulating technical differences, crediting specific tool and benchmark lineages, and understanding the scope of related venues (e.g., CAV, TACAS, FMCAD).

This guide provides detailed protocols for achieving high levels of reproducibility in Computer Aided Verification (CAV) research. It emphasizes the necessity of pinning benchmark sets, recording exact tool versions, documenting resource limits (time/memory), and providing checkable proof witnesses to ensure that evaluation claims can be independently validated by competitors or reviewers.

This comprehensive audit guide helps authors prepare their research papers for the CAV submission portal. It covers crucial steps including selecting the correct paper category (Regular, Short Tool, etc.), adhering to LNCS formatting and page limits, and performing technical double-blind anonymity sweeps. Use this checklist to mitigate risks like identity leaks and filing errors before the final deadline.

This guide helps researchers strategically determine the best academic venue (e.g., CAV, TACAS, FMCAD) and paper category (Regular, Tool, Application, Industrial) for their formal methods research. It provides detailed criteria for classifying contributions based on guaranteed techniques, usable tools, or real-world case studies, ensuring maximum impact and fit for the target conference.

This guide assists researchers in compiling and documenting all necessary ethical approvals, biosafety statements, and data/code availability declarations required for high-impact scientific manuscripts (e.g., Cancer Cell). It ensures compliance with guidelines covering animal protocols (IACUC), human subject ethics (IRB/Consent), and data sharing standards (GEO, Zenodo).

A comprehensive guide for authors responding to major or minor revisions following peer review. It details how to systematically triage reviewer reports, plan rigorous new in vivo or human experiments, structure point-by-point rebuttal letters, and maintain scientific rigor while narrowing claims. Designed for biomedical research and academic publishing.

A comprehensive guide to meeting the rigorous reporting standards required for high-impact scientific journals (e.g., Cell Press). It details the structure of STAR Methods, mandates the creation of a Key Resources Table (KRT), and outlines necessary authentication for cell lines, antibodies, animal models, and deposited data (including specific identifiers like RRIDs, GEO/PRIDE accessions). This ensures maximum transparency and reproducibility in scientific research writing.

A comprehensive guide designed to assess whether a molecular or translational oncology study meets the high standards of a top-tier journal like Cancer Cell. It helps researchers critically evaluate their work's mechanistic depth and translational relevance, providing actionable steps before investing in full manuscript submission.

Provides comprehensive guidelines for statistical analysis and reporting in biological manuscripts, particularly in cancer research. It teaches researchers how to correctly define 'n' (distinguishing biological from technical replicates), select appropriate statistical tests (ANOVA, survival analysis, etc.), and manage multiple comparisons, ensuring high scientific rigor and reproducibility in published data.

This sophisticated tool is designed to polish scientific manuscripts for high-impact, rigorous journals. It guides users in structuring a mechanistic narrative, ensuring that every claim made in the text is precisely calibrated to the strength of the supporting experimental evidence (e.g., distinguishing correlation from necessity). It focuses on scientific storytelling, nomenclature consistency, and eliminating hype, transforming raw research data into a polished, scholarly article.

A comprehensive guide for designing, auditing, and reporting security experiments for top-tier conferences like ACM CCS. It emphasizes moving beyond simple benchmarks by mapping every security claim to undeniable evidence, including exploit runs on named targets, overhead measurements, and evaluation against adaptive attackers. Used for rigorous academic research defense.

This guide details how to audit and position security research submissions for premier academic venues like CCS, S&P, USENIX, and NDSS. It teaches authors to structure their 'Related Work' section by comparing their novelty against the 'security big four,' specialist literature, and real-world practitioner records (such as CVEs and vendor advisories). The goal is to clearly articulate the technical delta and eligibility for publication.