Skill UI

A comprehensive methodology for designing scientific and reproducible storage evaluations, particularly for high-stakes submissions. This guide covers controlling device state (aging, preconditioning, TRIM), selecting credible workloads (fio, YCSB), matching metrics (P99.9 latency, bytes-written) to claims, and rigorously testing durability and crash consistency on real hardware.

This guide outlines the rigorous, multi-stage process for submitting camera-ready versions for a top-tier academic conference like FOCS. It details the critical difference between the official IEEE proceedings and the public arXiv/ECCC full version. Key steps include de-anonymization, maintaining source consistency across both documents, updating author details, and preparing for conference talks and awards eligibility.

This guide details best practices for achieving reproducibility in highly theoretical computer science papers, such as those submitted to ICALP. Since artifact evaluation is absent, reproducibility hinges on the ability for any reader to independently verify every step of the proof. Key requirements include writing self-contained proofs, providing verifiable computational certificates, maintaining consistency between submissions, and optionally using formal verification tools like Coq or Lean.

This guide outlines the standards for ensuring the verifiability and rigor of theoretical computer science papers, particularly for venues like ICDT. It mandates complete proofs, precise pinning of models and assumptions, explicit matching of upper and lower bounds, and strict internal consistency across all claims and full versions. Use this checklist before submission to elevate academic quality.

This comprehensive guide polishes academic manuscripts for top-tier economics journals. It focuses on refining rhetoric by eliminating vague, empty-significance phrases and improving policy recommendations. The skill helps authors transition from mere statistical reporting to articulating clear economic implications, ensuring consistency in tense, person, and terminology.

This guide provides comprehensive instructions for structuring and refining manuscripts intended for IMFER, ensuring the prose resonates with both academic referees and policy readers. It covers the structure of the introduction, the format of the abstract (including JEL codes and italicization), and maintains consistency in style, tone, and quantification.

A comprehensive guide detailing the stringent standards and best practices for creating high-quality scientific figures for chemistry journals, specifically following the guidelines of the Journal of the American Chemical Society (JACS). Covers everything from reaction schemes and mechanism diagrams to NMR/IR spectra, crystal structures, and creating impactful Table of Contents (TOC) graphics, ensuring clarity, consistency, and adherence to academic publishing conventions.

This comprehensive guide details the rigorous methodological standards required for validating new statistical estimators, tests, or algorithms. It moves beyond simple causal inference, emphasizing foundational proofs of identification, regularity conditions, asymptotic consistency, and finite-sample robustness. It serves as a checklist for assuring the credibility and reliability of methods in academic statistical journals.

A comprehensive preflight checklist for submitting manuscripts to the Journal of Development Economics (JDE) via Editorial Manager. This guide ensures compliance with route-specific limits (e.g., short-paper caps, full-length requirements), data replication readiness, single-anonymized review standards, and adherence to journal policies (e.g., language consistency, submission caps). Use it as the final check before submission.

This comprehensive checklist guides authors through the rigorous pre-submission process for the Journal of Financial Research. It covers critical academic elements such as adhering to specific word count limits (~20k), abstract formatting, JEL codes, and proper citation conventions. It also emphasizes maintaining double-blind anonymity and verifying structural consistency, ensuring the manuscript meets the journal's demanding standards before online submission.

A comprehensive guide to constructing rigorous empirical datasets for academic papers in finance and banking. It covers best practices for handling complex data sources (e.g., bank micro-data, central bank reports, macro series), addressing measurement biases, and ensuring full replicability, adhering to the standards of top-tier economic journals. Focus areas include merger tracking, regime transitions, and variable definition consistency.

This router guides authors through the entire lifecycle of writing a manuscript targeting the Journal of Monetary Economics (JME). It acts as a structured workflow navigator, helping diagnose bottlenecks and determine the next critical step—from initial topic selection and literature positioning to data analysis, writing style refinement, and final rebuttal preparation. It is essential for maintaining consistency with high-level academic journal standards.