[PRE REVIEW]: NMRInversions.jl, a julia package for time-domain Nuclear Magnetic Resonance

[editorialbot]

Submitting author: @aris-mav (Aristarchos Mavridis)
Repository: https://github.com/aris-mav/NMRInversions.jl
Branch with paper.md (empty if default branch): master
Version: v0.9.2
Editor: @zhubonan
Reviewers: @cfarm6, @hessammehr
Managing EiC: Kyle Niemeyer

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Author instructions

Thanks for submitting your paper to JOSS @aris-mav. Currently, there isn't a JOSS editor assigned to your paper.

@aris-mav if you have any suggestions for potential reviewers then please mention them here in this thread (without tagging them with an @). You can search the list of people that have already agreed to review and may be suitable for this submission.

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[kyleniemeyer]

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👉📄 Download article proof 📄 View article proof on GitHub 📄 👈

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⚠️ Note to editors: If these papers look like they might be a good match, click through to the review issue for that paper and invite one or more of the authors before considering asking the reviewers of these papers to review again for JOSS.

[kyleniemeyer]

@editorialbot check repository

[editorialbot]

Software report:

github.com/AlDanial/cloc v 1.90  T=0.04 s (932.2 files/s, 166213.7 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
SVG                              1              0              0           2660
Julia                           16            667            589           1295
Markdown                         7            144              0            419
YAML                             6              3              7            142
TeX                              1              6              0             49
TOML                             2              6              0             43
CSV                              1              0              0             32
-------------------------------------------------------------------------------
SUM:                            34            826            596           4640
-------------------------------------------------------------------------------

Commit count by author:

    67	aris
    40	Aris bpHPC
    12	CompatHelper Julia

[editorialbot]

Paper file info:

📄 Wordcount for paper.md is 740

✅ The paper includes a Statement of need section

[editorialbot]

License info:

✅ License found: MIT License (Valid open source OSI approved license)

[kyleniemeyer]

@editorialbot check references

[editorialbot]

Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

✅ OK DOIs

- 10.62721/diffusion-fundamentals.29.952 is OK
- 10.1016/j.pnmrs.2011.07.002 is OK
- 10.1103/PhysRev.73.679 is OK

🟡 SKIP DOIs

- No DOI given, and none found for title: Discrete inverse problems: Insight and algorithms

❌ MISSING DOIs

- 10.1137/141000671 may be a valid DOI for title: Julia: A fresh approach to numerical computing

❌ INVALID DOIs

- None

[kyleniemeyer]

Hello @aris-mav thanks for your submission to JOSS. We're currently managing a large backlog of submissions and the editor most appropriate for your area is already rather busy.

While we are waiting, could you please:

• Fix the DOIs (noting that @editorialbot's suggestions are not always right), you can, then use the following commands (one at a time, as the first line of a new comment) to regenerate the PDF and check the references:
  @editorialbot generate pdf
  @editorialbot check references

• Recommend some potential reviewers from the database, though please do not tag them with @ directly.

For now, we will need to waitlist this paper and process it as the queue reduces. Thanks for your patience!

[aris-mav]

Hello Kyle,
Thank you very much for the information.

As for the reviewers, should I only look at the current list, or should I also ask people in the field who might be willing to review?
From the list, the only person into magnetic resonance seems to be nicksisco1932 (based on a quick keyword search).

[kyleniemeyer]

@aris-mav we'd welcome any suggestions here, but please don't ask them directly - that is the editor's job

[aris-mav]

Understood!
I'll ask around and I'll let you know.
Should I post any suggestions in this thread, or should I send a mail instead?

[kyleniemeyer]

You can just list some suggestions here

[aris-mav]

Thanks a lot Kyle.
For now, I'd like to recommend Viliam Bortolotti and nicksisco1932.

[kyleniemeyer]

@editorialbot invite @zhubonan as editor

Hi @zhubonan, could you edit this submission?

[editorialbot]

Invitation to edit this submission sent!

[zhubonan]

Sure I am happy to edit this one

[kyleniemeyer]

@editorialbot assign @zhubonan as editor

[editorialbot]

Assigned! @zhubonan is now the editor

[zhubonan]

@editorialbot generate pdf

[editorialbot]

👉📄 Download article proof 📄 View article proof on GitHub 📄 👈

[editorialbot]

Five most similar historical JOSS papers:

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Handling editor: @jbytecode (Active)
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Similarity score: 0.7256

ModeCouplingTheory.jl: A solver for mode-coupling-theory-like integro-differential equations
Submitting author: @IlianPihlajamaa
Handling editor: @mstimberg (Active)
Reviewers: @epspebble, @dawbarton
Similarity score: 0.7193

SyntheticEddyMethod.jl: A Julia package for the creation of inlet flow conditions for LES
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⚠️ Note to editors: If these papers look like they might be a good match, click through to the review issue for that paper and invite one or more of the authors before considering asking the reviewers of these papers to review again for JOSS.

[zhubonan]

Hi @Luthaf and @nicksisco1932, and @nluetts - Happy New Year! Would you be happy to review this submission for JOSS?

JOSS is unique and takes place on GitHub. This involves reviewing the manuscript and installing/testing/reading the underlying code. You can learn more about it here: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html#reviewing-for-joss

Please let me know if you are able/unable to review. Your response is greatly appreciated. Thanks in advance.

[nluetts]

@zhubonan Thank you for the invitation and a late "Happy New Year" to you too! Unfortunately, I am too busy to do this review in good time in the moment.

[Luthaf]

Hi! Unfortunately, I will have to decline as well. This is too far from my programming expertise and area of research for me to be able to review it effectively.

[zhubonan]

@nluetts @Luthaf Okay no worries, and thanks for letting me know!

[zhubonan]

Hi @hessammehr, @cfarm6 and @tknopp Would you be happy to review this submission for JOSS?

JOSS is unique and takes place on GitHub. This involves reviewing the manuscript and installing/testing/reading the underlying code. You can learn more about it here: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html#reviewing-for-joss

Please let me know if you are able/unable to review. Your response is greatly appreciated. Thanks in advance.

[hessammehr]

@zhubonan Thank you for reaching out. Yes, pleased to review this submission.

[hessammehr]

@editorialbot generate my checklist

[editorialbot]

Checklists can only be created once the review has started in the review issue

[cfarm6]

@zhubonan I am available to review. Apologies for the delay getting back to you.

[aris-mav]

Hello all,

Thank you @cfarm6 and @hessammehr for offering your time to review this!

@zhubonan , shall we begin the review process?

[zhubonan]

@editorialbot add @cfarm6 as reviewer

[editorialbot]

@cfarm6 added to the reviewers list!

[zhubonan]

@editorialbot add @hessammehr as reviewer

[editorialbot]

@hessammehr added to the reviewers list!

[zhubonan]

Hi @cfarm6 and @hessammehr thanks for agreeing to review this submission. We will do the review process in a dedicated review issue.

[zhubonan]

@editorialbot start review

[editorialbot]

OK, I've started the review over in #7745.