Skill UI

A comprehensive audit checklist for submitting papers to CVPR. This guide covers crucial deadlines (abstract, full paper, supplement), strict page limits (8 pages including figures), adherence to anonymity rules, and mandatory compliance with the Compute Reporting Form (CRF). Essential reading for authors preparing research submissions for major computer vision conferences to avoid desk rejection.

A comprehensive guide for analyzing and reporting longitudinal data in Developmental Psychology manuscripts, ensuring compliance with high academic standards. It emphasizes modeling developmental change (e.g., growth curves, multilevel models, SEM), establishing measurement invariance (configural, metric, scalar) before interpretation, and rigorously reporting effect sizes and confidence intervals (CIs) using JARS guidelines. It guides the distinction between confirmatory and exploratory findings.

A comprehensive guide for researchers in Developmental Psychology on meeting rigorous Open Science standards. It details best practices for data and materials sharing using Persistent Identifiers (DOIs), mandatory preregistration of hypotheses, sample-size justification, and adhering to ethical requirements when working with minors and vulnerable populations. It ensures compliance and reproducibility in modern scientific reporting.

A comprehensive guide for authors submitting diabetes-focused research (clinical, epidemiological, or basic/translational) to Diabetologia. It outlines the journal's high standards, covering required mechanistic rigor, full evidence spectrum reporting, specific reporting guidelines (CONSORT, STROBE, PRISMA, ARRIVE), and structural expectations for successful submission.

Provides comprehensive guidelines for authors preparing tables and figures for high-impact economics journals. The core principle is ensuring that every exhibit is self-contained, legible, and communicates the economic magnitude and meaning to a generalist audience, even without reading the surrounding text. It covers best practices for reporting elasticities, confidence bands, and structuring arguments.

This guide provides comprehensive standards for designing, auditing, and reporting empirical evaluations in database systems research. It emphasizes the principle that evidence must proportionally match the claim, requiring the use of real-world workloads, fair and tuned baselines, thorough measurement of variance and state (warm/cold), and fully reproducible evaluation harnesses. It also outlines the higher bar for 'Experiments & Analysis' papers.

A comprehensive guide for authors preparing manuscripts for top economics journals (e.g., EER). It details best practices for designing self-contained tables and figures, emphasizing the correct reporting of standard errors (SEs), confidence intervals (CIs), and interpreting results cleanly. This guide ensures exhibits adhere to rigorous academic publishing standards, moving beyond simple star counts to let the magnitude of the result speak for itself.

This skill provides a comprehensive fit and formatting guide for submitting high-impact clinical and surgical research to European Urology. It assesses the study's required evidence level, adherence to specific reporting guidelines (e.g., CONSORT, STROBE), and alignment with EAU/Elsevier house style. It is a vital aid for authors needing to re-frame their work for optimal journal acceptance.

Provides comprehensive guidelines for field crops researchers submitting manuscripts. The policy mandates reporting deep agronomic context (soil, weather, management, design) and requires authors to prepare a detailed data-availability statement. It ensures the reproducibility and structural completeness of research findings, while also covering guidelines for co-submission and AI use declaration.

This comprehensive guide assists researchers preparing liver biology or disease studies for submission to Hepatology (AASLD). It meticulously reviews the journal's scope, evidence bar, reporting guidelines (e.g., CONSORT, STROBE), and required structure. It helps authors determine if their mechanistic or clinical work is rigorous enough and appropriately framed for a top-tier, international audience.

This guide provides comprehensive methodological standards for conducting high-quality human-subjects studies in Human-Robot Interaction (HRI). It covers the entire research lifecycle, including choosing optimal designs (within/between-subjects), ensuring statistical power, reporting effect sizes, and adhering to ethical guidelines (e.g., Wizard-of-Oz disclosure). It ensures research meets the rigorous academic standards required for top-tier publications.

This guide provides comprehensive guidelines for advanced statistical and qualitative data analysis in Human Resource Management (HRM) research. It details the rigorous application of methods like Multilevel Modeling (HLM), Structural Equation Modeling (SEM), mediation testing, and fixed-effects models. It emphasizes methodological rigor, transparency, addressing endogeneity, and reporting effect sizes to ensure publication-quality empirical findings.