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Abstract
This investigation quantifies elite sprinters’ maximal deadlift capacity, showing that elite cohorts lift up to three times their body weight and underscoring the role of lower-body strength in sprint performance (Schiemann et al., 2024). This association holds across athletic populations, substantiating its contribution to explosive power (Conan & DeBeliso, 2020). Maximal lower-extremity strength also enhances jumping and sprint performance in team sports (Warneke et al., 2022). Building on this, heavy deadlifts in warm-up protocols acutely improve vertical jump and change-of-direction performance (Abade et al., 2023).
References
Abade, E., Sánchez-Sánchez, J., Conte, D., & Pareja-Blanco, F. (2023). Effects of adding heavy loaded deadlifts to warm-up on acute vertical jump and change-of-direction performance. Journal of Strength and Conditioning Research, 37(5), 1052–1059.
https://doi.org/10.1519/JSC.0000000000004341
Conan, E., & DeBeliso, M. (2020). The relationship between the back squat and sprint performance in track athletes. Journal of Sport and Human Performance, 8(1), 1–15.
https://doi.org/10.12691/jshp-8-1-1
Schiemann, S., Keiner, M., Wirth, K., Lohmann, L. H., & Warneke, K. (2024). The relationship between maximum deadlift strength and sprint performance in elite athletes. Journal of Strength and Conditioning Research, 38(4), 721–733.
https://doi.org/10.1519/JSC.0000000000004712
Seitz, L. B., Reyes, A., Tran, T. T., de Villarreal, E. S., & Haff, G. G. (2014). Increases in lower-body strength transfer positively to sprint performance: A systematic review with meta-analysis. Sports Medicine, 44(12), 1693–1702.
https://doi.org/10.1007/s40279-014-0227-1
Warneke, K., Lohmann, L. H., Keiner, M., & Wagner, C.-M. (2022). Influence of strength training modalities on sprint performance in trained athletes. Sports, 10(7), 107.
https://doi.org/10.3390/sports10070107
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Frequently asked questions
What citation styles and export formats does Jenni support for LaTeX, Word, and Overleaf?
Jenni supports over 2,600 citation styles, including APA 7th, MLA, Chicago, Harvard, IEEE, Vancouver, and journal-specific CSL styles for most major publishers. Inline citations and reference lists format automatically as you write. Export your finished draft to .docx for Word, LaTeX-friendly output for Overleaf workflows, or .bib for BibTeX. Citations are unlimited on every plan including Free. Switching styles is a one-click operation, so submitting to a second journal is fast.
How do researchers use AI without compromising academic integrity?
Use AI tools that augment your thinking rather than replace it. Strong practices: ground AI suggestions in your own uploaded library rather than the open web, verify every citation against the source PDF, disclose AI assistance in your methods section or acknowledgments, and treat AI output as drafts you edit. Jenni was designed around all four. Library-grounded suggestions, one-click citation verification, a built-in AI disclosure aligned with OECD and UNESCO frameworks, and human-in-the-loop editing throughout.
How is Jenni different from ChatGPT, Claude, or Gemini for research papers?
ChatGPT, Claude, and Gemini generate text from general training data, which is why they hallucinate citations and produce generic academic prose. Jenni drafts from papers in your own uploaded library, attaches real citations to every suggestion, supports 2,600+ journal citation styles, and runs a pre-submission Review across four tools: Peer Review (which scores soundness, presentation, and contribution), Claim Confidence, Proofread, and Tone of Voice. Built specifically for peer-reviewed research, not for general chat.
How can non-native English researchers use AI to publish in international journals?
Jenni works across 30+ languages for generation, and the UI itself is available in 13 (including Simplified Chinese, Hindi, German, Arabic, Korean, French, Spanish, Brazilian Portuguese, and more). Multilingual researchers refine drafts using one of three Tone of Voice presets: Formal Academic, Concise Scientific, or Clear and Natural. You can also match your draft's tone to a paper from your target journal in one click. Especially helpful for ESL researchers preparing manuscripts for international submission.
Can AI help me synthesize a systematic literature review from my reference library?
Yes. Import your Zotero, Mendeley, or EndNote library into Jenni (PDFs, .ris, .bib all supported), then use AI Chat to compare findings across studies, locate methods notes, surface contradictions, or identify which paper discusses a specific concept. Synthesis paragraphs draft with real citations to your imported papers. The structure and framing stay your decision. Jenni handles the cross-paper synthesis work that usually takes hours of re-reading.
How do I cite AI assistance in a peer-reviewed manuscript or thesis?
Most journals now require an AI usage disclosure in the methods section or acknowledgments. Jenni includes a built-in compliance statement aligned with the OECD AI Principles and UNESCO's Ethics of AI guidance, which you can insert into your draft with one click. The statement is designed to meet the disclosure standards used by major publishers including Nature, Elsevier, IEEE, and Springer. Adjust the wording to match your target journal's specific AI-use policy.
Can I use AI to write my thesis or dissertation without losing my own voice?
Yes. Jenni's autocomplete suggests sentences grounded in your own selected sources, not generic AI text. The Tone of Voice review then matches your draft's style to a paper from your own library or one of three presets (Formal Academic, Concise Scientific, Clear and Natural), so your voice stays consistent across chapters. You stay in control of every accepted suggestion, so the underlying writing reflects your research and your judgment.
How accurate are AI-generated citations and how do I verify they're real?
Most generic AI tools fabricate citations to papers that don't exist. Jenni's citation suggestions come from three real sources: your own uploaded library, a database of over 10 million open-access papers, and scholarly web search. No hallucinated references. For citations from your library, every inline reference links back to the source paragraph in the original PDF for one-click verification. Jenni's Claim Confidence review then flags any weakly supported, overstated, contradicted, or unverifiable claims before submission.
Is AI safe to use for academic research?
Yes, when used responsibly. Jenni is built around academic integrity rather than shortcuts. You control which sources inform each suggestion, every cited paper traces back to its source, and a built-in AI disclosure statement aligns with OECD AI Principles and UNESCO's Ethics of AI guidance. Researchers using Jenni have published peer-reviewed work across IEEE, Springer, Elsevier, and over 100 other journals. Jenni's stance is augment, not replace.
What's the best AI tool for source-grounded academic writing?
The best AI tool for academic writing is one that lets you ground every suggestion in your own uploaded library, not the open web. Generic AI tools like ChatGPT generate from training data, which is why they fabricate citations. Jenni was purpose-built for researchers: import PDFs from Zotero, Mendeley, or EndNote, write with autocomplete that draws from your selected sources, and cite in 2,600+ journal styles. Built for theses, dissertations, and journal manuscripts.
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