Skill UI

A comprehensive pre-submission checklist designed for authors aiming to submit original research papers to high-level academic journals, such as Acta Electronica Sinica (AES). This guide covers essential academic components, including proper abstract structuring, keyword adherence, specialized referencing formats (GB/T 7714), blind review compliance, ethical data handling, and formatting standards. It minimizes the risk of rejection during the initial editorial screening process.

This skill guides authors through the critical process of positioning their manuscript for Acta Electronica Sinica (AES). It helps authors rigorously assess if their topic falls within the scope of electronic information science (e.g., IC, communication, signal processing) and determines the appropriate journal (AES vs. CJE). It covers scope definition, innovation assessment, and manuscript type selection, ensuring submissions are highly relevant and meet the required academic level.

This skill provides a comprehensive, end-to-end workflow guide for academic journal submissions, specifically tailored for Acta Electronica Sinica (AES). It maps the entire publishing journey—from topic selection and research design to submission, review tracking, revision, and final publication—into a structured timeline. It helps authors manage complex decision points, adhere to strict deadlines (like the 6-month response window), and avoid common pitfalls, ensuring a systematic approach to high-stakes scholarly publishing.

A comprehensive guide for technical authors preparing manuscripts for prestigious Chinese academic journals, specifically targeting the rigorous standards of Acta Electronica Sinica (AES). This skill covers multiple critical areas, including title formatting, structured abstracts, unit usage, formula typesetting, figure/table standards, and rigorous citation guidelines (GB/T 7714). Use this guide to ensure your paper is professionally polished, highly rigorous, and ready for expert review, significantly minimizing formatting deductions and enhancing academic credibility.

This skill provides a comprehensive guide for adapting research manuscripts for the American Journal of Respiratory and Critical Care Medicine (AJRCCM). It assesses a study's scientific fit across the spectrum of basic science, translational research, and clinical trials. It ensures adherence to rigorous reporting guidelines (e.g., CONSORT, STROBE, ARRIVE) and the journal's specific house style, helping authors significantly improve their submission readiness.

Provides guidelines for creating robust, verifiable, and reusable Electronic Design Automation (EDA) artifacts for submission to academic conferences like DAC. The focus shifts from chasing conference badges to ensuring community trust and scientific reproducibility. Key elements include pinning the toolchain, using standard benchmarks, providing clear setup instructions, and archiving the release in a DOI-issuing repository.

This guide provides a comprehensive checklist for evaluating Electronic Design Automation (EDA) research manuscripts for top-tier conferences like DAC. It emphasizes the necessity of using standard, recognized benchmark suites (e.g., ISPD, EPFL, TAU), comparing results against the true State-of-the-Art (SOTA), reporting full PPA metrics and runtime, and implementing ablation studies to ensure fairness, reproducibility, and generalizability, especially for ML-based methods.

A comprehensive guide for establishing research reproducibility in Electronic Design Automation (EDA). It details best practices for pinning benchmark suites, disclosing specific tool versions (open/commercial), documenting technology nodes (PDKs), and handling stochastic data flows (seeds, variance). Essential for ensuring that semiconductor design claims and ML-for-EDA results are credible and verifiable by the academic community.

This comprehensive guide assists researchers and practitioners in selecting the optimal venue and track (e.g., DAC, ICCAD, ISCA) for their electronic design automation (EDA) or chip-design project. It clarifies the critical distinction between the archival Research Manuscript track and the industry-facing Engineering Track at DAC, emphasizing the need to frame contributions using measurable Quality of Results (QoR) improvements, novel algorithms, or real-world industrial lessons.

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.

This guide provides rigorous criteria for authors targeting top-tier journals in electrochemical energy storage. It emphasizes that successful submissions must move beyond simple synthesis-plus-capacity reports, instead focusing on robust structure–property–mechanism relationships, supported by advanced operando/in-situ characterization and detailed scientific evidence.

This guide provides comprehensive best practices for writing the 'Related Work' section for submissions to top-tier storage conferences like FAST. It emphasizes adopting a 'delta-first' contrast approach, requiring authors to position their novelty against the entire spectrum of storage literature (including OSDI, SOSP, and dedicated workshops), rather than merely citing proximate works. It also covers handling concurrent submissions and maintaining double-blind anonymity.