components · research-publishing cluster

Research-publishing

Eight components that make "TUX is for research publishing" tangible at the page level. Structured abstracts, byline + affiliations + ORCID, paper meta, numbered figure / table captions, footnotes with hover preview, multi-format citation export, and the acknowledgments block.

paper header rhythm

Byline + meta

The canonical academic header: title (rendered via TuxPageHeader) + byline + meta strip. The byline supports affiliations (numbered superscripts + footnoted list), ORCID iDs, and a corresponding-author marker.

article

Enduring infrastructure cues vs novelty effects

Authors

  1. M. Hassan1,2*,
  2. L. Velazquez1,
  3. R. Chen1
  1. 1 Texas A&M Transportation Institute
  2. 2 Department of Civil Engineering, Texas A&M University

* Corresponding author: mhassan@tti.tamu.edu

Type
Article
Venue
Transportation Research Record
Published
Pages
118-134
DOI
10.1177/03611981251123456
License
CC-BY 4.0
Funding
FHWA HRDS-30; TxDOT 0-7042
<TuxAuthorByline
  :authors="[
    { name: 'M. Hassan',    affiliations: [1, 2], orcid: '0000-0002-1234-5678', corresponding: true, email: 'mhassan@tti.tamu.edu' },
    { name: 'L. Velazquez', affiliations: [1] },
    { name: 'R. Chen',      affiliations: [1] },
  ]"
  :affiliations="[
    'Texas A&M Transportation Institute',
    'Department of Civil Engineering, Texas A&M University',
  ]"
/>

<TuxPaperMeta
  type="Article"
  venue="Transportation Research Record"
  published="2025-08-14"
  pages="118-134"
  doi="10.1177/03611981251123456"
  license="CC-BY 4.0"
  :funders="['FHWA HRDS-30', 'TxDOT 0-7042']"
/>

structured abstract

TuxAbstract

Background / Methods / Results / Conclusion in four labeled sections. Reader can scan the structure without reading every word — the rhythm matches how journals format abstracts.

Abstract

Background

Earlier evaluations of rural intersection treatments often suffered from short follow-up windows that conflated treatment effects with novelty effects.

Methods

Twelve treated rural intersections in central Texas were instrumented for 36 months post-construction; matched controls were observed in parallel.

Results

Treated sites showed a 37 percent reduction in stop-line non-compliance vs controls; the reduction persisted across all 36 months, with no detectable decay over time.

Conclusion

The persistence of the effect supports the infrastructure-cue hypothesis over the novelty hypothesis; treatments cause-not-correlate with sustained behavior change.

Keywordsrural roadway safety,long-term evaluation,stop-line compliance,TxDOT

numbered captions · figure + table

TuxFigureCaption / TuxTableCaption

Auto-styled, consumer-numbered captions. Figures default to caption-below; tables to caption-above (academic convention). Optional source shown in muted italics below the caption.

[Figure placeholder — line chart of compliance over 36 months]
Figure 3.Mean stop-line non-compliance rate over 36 months. Treated sites (n=12) in maroon; matched controls (n=12) in dashed slate.Hassan et al. 2025 · TxDOT 0-7042 dataset
Table 2.Treatment vs control compliance rates, by 6-month window.Hassan et al. 2025
WindowTreatedControlΔ (pp)
0-6 mo4279-37
6-12 mo4181-40
12-24 mo3978-39
24-36 mo3877-39

inline footnote · hover preview

TuxFootnote

Inline superscript reference + hover/focus popover that shows the footnote without forcing a scroll. The anchor still jumps to the document-end footnotes list when clicked.

The signal-to-noise gain held across all four corridor segments, with the strongest effect on segments that had previously carried the highest noise.

citation export · 6 formats

TuxCitationExport

Single "Cite" button → dropdown with APA / Chicago / MLA / IEEE / BibTeX / RIS. Each row copies the formatted citation to the clipboard. Useful in a sticky-actions sidebar or near the paper meta strip.

paper footer · funding + conflicts + ethics

TuxAcknowledgments

Four optional sections — funding (with grant numbers), acknowledgments, conflicts of interest, ethics + data access. Renders nothing for any section left empty.

Acknowledgments & declarations

Funding

Acknowledgments

The authors thank the TTI MovementLab field team — Jordan Kim, Mariana Vega, and Daniel Park — for instrumentation and data quality assurance across the 36-month follow-up.

Conflicts of interest

The authors declare no competing financial or non-financial interests.

Ethics & data access

All study protocols were reviewed and approved by the Texas A&M IRB (#IRB-2022-0418). Aggregated corridor data are available on request; per-subject data are not released to protect operator privacy.