Skill UI

A comprehensive guide for authors submitting research on software testing, analysis, verification, and fuzzing to ISSTA. It provides strategic advice on framing the paper, establishing necessary evidence (e.g., fault models, benchmarks, real-world data), and ensuring the contribution aligns precisely with the requirements of top-tier CS conferences.

This guide details the rigorous data analysis and reporting standards required for top-tier academic journals, such as AJPS. It focuses intensely on reproducibility, ensuring that all results—from primary findings to exploratory models—are generated by a single, seeded master script. Key requirements include reporting uncertainty intervals, proving robustness, adhering to pre-registration discipline, and accommodating mandatory third-party code verification. Use this when conducting complex empirical research in social sciences or political science, needing to withstand intensive methodolo...

This guide outlines the standardized requirements for declaring data and code availability in major scientific publications. It details mandatory best practices, including depositing raw data (e.g., sequencing, structures) and analysis code into approved, citable public repositories (such as GEO, PDB, Mendeley Data, and Zenodo). It also provides the required standardized three-bullet statement format for ensuring reproducibility.

This detailed framework guides researchers in conducting rigorous and academically sound heterogeneity analysis for finance and economics manuscripts. It covers dimension prioritization, theoretical justification, sample size requirements, and statistical significance testing protocols (e.g., Chow test). Use this guide to strengthen the robustness of main findings and deepen the paper's contribution by identifying the specific conditions under which the effect operates.

This guide outlines the scope and submission requirements for the journal China Sport Science and Technology. It focuses specifically on application-oriented exercise science, covering competitive training, physical conditioning, physiological monitoring, technical analysis, and sports rehabilitation. It helps researchers determine the best fit for their work, distinguishing between purely theoretical research and practice-guided, evidence-based studies for athletic development.

A comprehensive guide for advanced econometric identification strategies, detailing best practices for conducting Difference-in-Differences (DID), event studies, and staggered treatment analysis. It provides stringent requirements for ensuring causal claims are robust and methodologically sound in academic research.

This guide details the rigorous requirements for achieving research reproducibility in academic publishing. It moves beyond simple data sharing, mandating that authors deposit model-fitting code, analysis scripts, and materials with persistent identifiers (DOI). Key steps include ensuring reported results can regenerate in a fresh session, completing declarations of competing interests, and linking pre-registrations, ensuring compliance with strict journal standards.

This guide provides rigorous methodology and theoretical frameworks for conducting heterogeneity analysis, particularly for academic manuscripts focused on rural Chinese economies. It outlines criteria for dimension selection (e.g., household endowment, regional environment, policy timing), ensuring theoretical justification, and setting minimum sample size requirements to avoid superficial findings and common pitfalls.

A comprehensive methodological guide designed for researchers writing economics and finance papers. It specifies the rigorous requirements for conducting heterogeneity analysis, emphasizing the need for theoretical justification, sufficient sample size, and alignment with the underlying economic or institutional mechanisms (especially within the Chinese finance and trade context).

This comprehensive guide helps authors assess the suitability of their diabetes or metabolic manuscript for *Diabetes Care* (ADA). It details the required clinical scope, evidence strength (e.g., RCTs, observational studies), necessary data analysis standards, and specific structural requirements, ensuring the work aligns with high-impact clinical practice guidelines and the ADA Standards of Care.

This skill provides a comprehensive guide for targeting and preparing manuscripts for the journal *Economic Theory and Business Management*. It covers the journal's disciplinary scope (economic theory, management practice, policy analysis), structural requirements (abstract, length), submission guidelines, and common pitfalls to ensure high academic rigor and fit for publication.

A detailed guide for academic authors, outlining the specific methodological, historical, and comparative requirements for submitting scholarly work to the journal History of Religions. It emphasizes the need for cross-cultural comparison, morphological analysis, and rigorous grounding in primary sources and philology, helping authors re-frame their research fit.