Skill UI

This guide outlines the rigorous academic requirements for submissions to the China Sport Science journal. It covers both natural sciences (physiology, biomechanics, exercise medicine) and social sciences (sports sociology, policy, management). Submissions must address core sport science ontology problems with high methodological rigor, ensuring the contribution is central to the field, rather than merely applying other disciplines.

A comprehensive guide and positioning tool for submitting manuscripts to top-tier Chinese public administration journals. It helps researchers assess if their work aligns with the journal's focus on governance modernization, policy execution, and government reform. The tool provides structural checklists, identifies common rejection risks, and suggests alternative journals for optimal submission.

This guide provides comprehensive guidelines for formatting academic manuscripts, specifically for Critical Inquiry (CI) submissions. It strictly adheres to the Chicago Manual of Style (17th ed.), mandating the use of consecutively numbered footnotes and eliminating the need for a separate works-cited list. It also covers best practices for submitting high-resolution figures (300 ppi JPEG/TIFF) and managing citations to ensure they contribute effectively to the word count and scholarly argument.

This guide provides rigorous methodological standards for conducting mechanism analysis (mediation and moderation) in academic economics research. It strongly cautions against the traditional three-step mediation approach due to identification issues, recommending preferred alternatives like split-channel regression and causal moderation analysis to enhance the robustness of causal claims.

A comprehensive methodological guide for conducting exhaustive robustness checks in academic economics manuscripts, particularly for journals requiring high empirical rigor. It provides an exhaustive checklist covering variable replacement, sample window manipulation, advanced identification strategies (like PSM-DID and placebo tests), and crucially, systematically ruling out alternative explanations and confounding factors. Mastering this process is essential for defending research findings against rigorous peer review.

A comprehensive guide for designing rigorous and robust empirical programs in Information Retrieval, Data Mining, and Knowledge Management. It outlines how to meet the stringent evidence requirements for top-tier conferences, ensuring claims are substantiated across multiple evaluation dimensions (retrieval, mechanism, scalability) and incorporating best practices for reproducibility and handling modern challenges like LLM contamination.

A comprehensive guide detailing the mandatory submission requirements for major AI conferences like CIKM. It covers critical areas such as strict page budget rules (including appendices), mandatory GenAI Usage Disclosure, EasyChair nomination processes, maintaining double-blind anonymity, and adhering to crucial deadlines like the abstract-gate week to prevent desk rejection.

Provides a comprehensive guide to managing the end-to-end workflow for submitting academic papers to major conferences like CIKM. It outlines multi-track coordination, crucial milestones (abstract gates, camera-ready), and assigns specific roles (e.g., Form Owner, Compliance Owner) to prevent common academic failures, ensuring timely and compliant publication.

A comprehensive guide for structuring literature reviews and clearly positioning novel contributions for top-tier academic journals. It emphasizes the critical "dual-lane" approach: analyzing both local Chinese academic literature and global international research findings. Learn how to define the gap, state the methodological increment, and articulate the unique findings in a structured, dialogue-driven manner, anticipating reviewer questions.

A comprehensive guide for designing rigorous, multi-experiment cognitive psychology studies. This framework ensures that experiments are engineered to discriminate between competing theoretical models by tightly controlling confounds, optimizing stimulus construction, and providing adequate power for the critical contrast, rather than just the main effect. It guides the entire planning process from hypothesis formulation to pre-data lockdown.

This guide outlines the rigorous process of formalizing cognitive theories for academic manuscripts. It teaches researchers how to structure a computational or mathematical model, define interpretable parameters, and derive discriminating predictions that differentiate their theory from rival accounts. Essential for moving from a verbal hypothesis to a testable, falsifiable scientific model.

A comprehensive guide detailing the meticulous steps required to transform an accepted conference paper into its final, public, camera-ready version. It covers de-anonymization, integrating complex reviewer feedback, coordinating artifact release, and ensuring consistency with the permanently recorded OpenReview forum.