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Updates to Thumbnails, Banners and Typos #1029

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74 changes: 41 additions & 33 deletions papers/Alireza_Vaezi/main.md

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71 changes: 36 additions & 35 deletions papers/Alireza_Vaezi/myst.yml
Original file line number Diff line number Diff line change
@@ -1,50 +1,51 @@
version: 1
extends: ../proceedings.yml
project:
doi: 10.25080/HXCJ6205
# Update this to match `scipy-2024-<folder>` the folder should be `<firstname_surname>`
id: scipy-2024-alireza-vaezi
# Ensure your title is the same as in your `main.md`
title: Training a Supervised Cilia Segmentation Model from Self-Supervision
subtitle: University Of Georgia
description: Understanding cilia behavior is essential in diagnosing and treating such diseases, but, the tasks of automatically analyzing cilia are often a labor and time-intensive. In this work we overcome this bottleneck by developing a robust, self-supervised framework exploiting the visual similarity of normal and dysfunctional cilia.
# Authors should have affiliations, emails and ORCIDs if available
authors:
- name: Seyed Alireza Vaezi
email: sv22900@uga.edu
orcid: 0009-0000-2089-8362
affiliations:
- University of Georgia
corresponding: true
- name: Shannon Quinn
email: spq@uga.edu
affiliations:
- University of Georgia
- name: Seyed Alireza Vaezi
email: sv22900@uga.edu
orcid: 0009-0000-2089-8362
affiliations:
- name: University of Georgia
ror: https://ror.org/00te3t702
corresponding: true
- name: Shannon Quinn
email: spq@uga.edu
affiliations:
- name: University of Georgia
ror: https://ror.org/00te3t702
keywords:
- Cilia
- Unsupervised biomedical Image Segmentation
- Optical Flow
- Autoregressive
- Deep Learning
- Cilia
- Unsupervised biomedical Image Segmentation
- Optical Flow
- Autoregressive
- Deep Learning
# Add the abbreviations that you use in your paper here
abbreviations:
MyST: Markedly Structured Text
OF: optical flow
PCD: primary ciliary dyskinesia
ZCA: Zero-phase PCA Sphering
SAE: Sparse Autoencoders
AR: autoregressive
FPN: Feature Pyramid Network
# It is possible to explicitly ignore the `doi-exists` check for certain citation keys
error_rules:
- rule: doi-exists
severity: ignore
keys:
- Atr03
- terradesert
- jupyter
- sklearn1
- sklearn2
- Iakubovskii:2019
- settles2009active
# A banner will be generated for you on publication, this is a placeholder
banner: banner.jpg
# The rest of the information shouldn't be modified
subject: Research Article
open_access: true
license: CC-BY-4.0
venue: Scipy 2024
date: 2024-07-10
- rule: doi-exists
severity: ignore
keys:
- Atr03
- terradesert
- jupyter
- sklearn1
- sklearn2
- Iakubovskii:2019
- settles2009active
site:
template: article-theme
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176 changes: 96 additions & 80 deletions papers/Arushi_Nath/main.md

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181 changes: 72 additions & 109 deletions papers/Arushi_Nath/mybib.bib
Original file line number Diff line number Diff line change
@@ -1,130 +1,93 @@
# Feel free to delete these first few references, which are specific to the template:

@book{hume48,
author = "David Hume",
year = "1748",
title = "An enquiry concerning human understanding",
address = "Indianapolis, IN",
publisher = "Hackett",
doi = {https://doi.org/10.1017/CBO9780511808432},
@misc{CNEOS_Totals,
author = {{Center for Near-Earth Object Studies}},
title = {Total number of asteroids discovered monthly},
howpublished = {\url{https://cneos.jpl.nasa.gov/stats/totals.html}},
note = {Accessed: October 1, 2024}
}

@article{Atr03,
author = "P Atreides",
year = "2003",
title = "How to catch a sandworm",
journal = "Transactions on Terraforming",
volume = 21,
issue = 3,
pages = {261-300}
@misc{NASA_DART2022,
author = {{NASA/Johns Hopkins University Applied Physics Laboratory}},
title = {NASA's first planetary defense technology demonstration to collide with asteroid in 2022},
month = {March},
year = {2022},
howpublished = {\url{https://www.nasa.gov/feature/nasa-s-first-planetary-defense-technology-demonstration-to-collide-with-asteroid-in-2022}},
note = {Accessed: October 1, 2024}
}

@misc{terradesert,
author = {{TerraDesert Team}},
title = {Code for terraforming a desert},
year = {2000},
url = {https://terradesert.com/code/},
note = {Accessed 1 Jan. 2000}
@article{Shevchenko2019,
author = {Shevchenko, V. G. and Tedesco, E. F. and Kovalchuk, L. O. and Fiacconi, A. M. and Zubarev, V. A.},
title = {Phase integral of asteroids},
journal = {Astronomy \& Astrophysics},
volume = {626},
pages = {A87},
year = {2019},
doi = {10.1051/0004-6361/201935588}
}

# These references may be helpful:

@inproceedings{jupyter,
abstract = {It is increasingly necessary for researchers in all fields to write computer code, and in order to reproduce research results, it is important that this code is published. We present Jupyter notebooks, a document format for publishing code, results and explanations in a form that is both readable and executable. We discuss various tools and use cases for notebook documents.},
author = {Kluyver, Thomas and Ragan-Kelley, Benjamin and Pérez, Fernando and Granger, Brian and Bussonnier, Matthias and Frederic, Jonathan and Kelley, Kyle and Hamrick, Jessica and Grout, Jason and Corlay, Sylvain and Ivanov, Paul and Avila, Damián and Abdalla, Safia and Willing, Carol and {Jupyter development team}},
editor = {Loizides, Fernando and Scmidt, Birgit},
location = {Netherlands},
publisher = {IOS Press},
url = {https://eprints.soton.ac.uk/403913/},
booktitle = {Positioning and Power in Academic Publishing: Players, Agents and Agendas},
year = {2016},
pages = {87--90},
title = {Jupyter Notebooks - a publishing format for reproducible computational workflows},
@misc{Talbert2022,
author = {Talbert, Tricia},
title = {NASA DART imagery shows changed orbit of target asteroid},
howpublished = {NASA},
month = {October},
day = {11},
year = {2022},
url = {https://www.nasa.gov/solar-system/nasa-dart-imagery-shows-changed-orbit-of-target-asteroid/},
note = {Accessed: October 1, 2024}
}

@article{matplotlib,
abstract = {Matplotlib is a 2D graphics package used for Python for application development, interactive scripting, and publication-quality image generation across user interfaces and operating systems.},
author = {Hunter, J. D.},
publisher = {IEEE COMPUTER SOC},
year = {2007},
doi = {https://doi.org/10.1109/MCSE.2007.55},
journal = {Computing in Science \& Engineering},
number = {3},
pages = {90--95},
title = {Matplotlib: A 2D graphics environment},
volume = {9},
@misc{JPL_SBDB,
author = {{Jet Propulsion Laboratory}},
title = {Small-Body Database Lookup},
howpublished = {\url{https://ssd.jpl.nasa.gov/tools/sbdb_lookup.html\#/?sstr=65803}},
note = {Accessed: October 1, 2024}
}

@article{numpy,
author = {Harris, Charles R. and Millman, K. Jarrod and van der Walt, Stéfan J. and Gommers, Ralf and Virtanen, Pauli and Cournapeau, David and Wieser, Eric and Taylor, Julian and Berg, Sebastian and Smith, Nathaniel J. and Kern, Robert and Picus, Matti and Hoyer, Stephan and van Kerkwijk, Marten H. and Brett, Matthew and Haldane, Allan and del Río, Jaime Fernández and Wiebe, Mark and Peterson, Pearu and Gérard-Marchant, Pierre and Sheppard, Kevin and Reddy, Tyler and Weckesser, Warren and Abbasi, Hameer and Gohlke, Christoph and Oliphant, Travis E.},
publisher = {Springer Science and Business Media {LLC}},
doi = {https://doi.org/10.1038/s41586-020-2649-2},
date = {2020-09},
year = {2020},
journal = {Nature},
number = {7825},
pages = {357--362},
title = {Array programming with {NumPy}},
volume = {585},
@misc{FinkBroker,
author = {{Fink Broker}},
title = {ZTF Minor Planet Photometric Data Release},
howpublished = {\url{https://fink-portal.org/}},
note = {Accessed: October 1, 2024}
}

@misc{pandas1,
author = {{The Pandas Development Team}},
title = {pandas-dev/pandas: Pandas},
month = feb,
year = {2020},
publisher = {Zenodo},
version = {latest},
url = {https://doi.org/10.5281/zenodo.3509134},
@misc{ESA_Gaia_DR3,
author = {{European Space Agency}},
title = {Gaia Data Release 3},
howpublished = {\url{https://www.cosmos.esa.int/web/gaia/dr3}},
note = {Accessed: October 1, 2024}
}

@inproceedings{pandas2,
author = {Wes McKinney},
title = {{D}ata {S}tructures for {S}tatistical {C}omputing in {P}ython},
booktitle = {{P}roceedings of the 9th {P}ython in {S}cience {C}onference},
pages = {56 - 61},
year = {2010},
editor = {{S}t\'efan van der {W}alt and {J}arrod {M}illman},
doi = {https://doi.org/10.25080/Majora-92bf1922-00a},
@misc{ALCDEF,
author = {{ALCDEF}},
title = {Asteroid Lightcurve Photometry Database},
howpublished = {\url{https://alcdef.org/}},
note = {Accessed: October 1, 2024}
}

@article{scipy,
author = {Virtanen, Pauli and Gommers, Ralf and Oliphant, Travis E. and
Haberland, Matt and Reddy, Tyler and Cournapeau, David and
Burovski, Evgeni and Peterson, Pearu and Weckesser, Warren and
Bright, Jonathan and {van der Walt}, St{\'e}fan J. and
Brett, Matthew and Wilson, Joshua and Millman, K. Jarrod and
Mayorov, Nikolay and Nelson, Andrew R. J. and Jones, Eric and
Kern, Robert and Larson, Eric and Carey, C J and
Polat, {\.I}lhan and Feng, Yu and Moore, Eric W. and
{VanderPlas}, Jake and Laxalde, Denis and Perktold, Josef and
Cimrman, Robert and Henriksen, Ian and Quintero, E. A. and
Harris, Charles R. and Archibald, Anne M. and
Ribeiro, Ant{\^o}nio H. and Pedregosa, Fabian and
{van Mulbregt}, Paul and {SciPy 1.0 Contributors}},
title = {{{SciPy} 1.0: Fundamental Algorithms for Scientific
Computing in Python}},
journal = {Nature Methods},
year = {2020},
volume = {17},
pages = {261--272},
adsurl = {https://rdcu.be/b08Wh},
doi = {https://doi.org/10.1038/s41592-019-0686-2},
@misc{PSI_APC,
author = {{Planetary Science Institute}},
title = {Asteroid Photometric Catalog (APC) "Third Update"},
howpublished = {\url{https://sbn.psi.edu/pds/resource/apc.html}},
note = {Accessed: October 1, 2024}
}

@article{sklearn1,
author = {Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V. and Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofer, P. and Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos, A. and Cournapeau, D. and Brucher, M. and Perrot, M. and Duchesnay, E.},
year = {2011},
journal = {Journal of Machine Learning Research},
pages = {2825--2830},
title = {Scikit-learn: Machine Learning in {P}ython},
volume = {12},
@article{Pravec2000,
author = {Pravec, P. and Harris, A. W.},
title = {Fast and Slow Rotation of Asteroids},
journal = {Icarus},
volume = {148},
number = {1},
pages = {12--20},
year = {2000},
doi = {10.1006/icar.2000.6482}
}

@inproceedings{sklearn2,
author = {Buitinck, Lars and Louppe, Gilles and Blondel, Mathieu and Pedregosa, Fabian and Mueller, Andreas and Grisel, Olivier and Niculae, Vlad and Prettenhofer, Peter and Gramfort, Alexandre and Grobler, Jaques and Layton, Robert and VanderPlas, Jake and Joly, Arnaud and Holt, Brian and Varoquaux, Gaël},
booktitle = {ECML PKDD Workshop: Languages for Data Mining and Machine Learning},
year = {2013},
pages = {108--122},
title = {{API} design for machine learning software: experiences from the scikit-learn project},
@article{DeMeo2014,
author = {DeMeo, F. E. and Carry, B.},
title = {Solar System evolution from compositional mapping of the asteroid belt},
journal = {Nature},
volume = {505},
number = {7485},
pages = {629--634},
year = {2014},
doi = {10.1038/nature12908}
}
23 changes: 14 additions & 9 deletions papers/Arushi_Nath/myst.yml
Original file line number Diff line number Diff line change
@@ -1,5 +1,7 @@
version: 1
extends: ../proceedings.yml
project:
doi: 10.25080/TWCF2755
# Update this to match `scipy-2024-<folder>` the folder should be `<firstname_surname>`
id: scipy-2024-Arushi_Nath
# Ensure your title is the same as in your `main.md`
Expand All @@ -17,7 +19,18 @@ project:
- Open Data
- Citizen Scientists
- Asteroid Characterization

abbreviations:
ATLAS: Asteroid Terrestrial-impact Last Alert System
DART: Double Asteroid Redirection Test
ZTF: Zwicky Transient Facility
LSST: Legacy Survey of Space and Time
ALCDEF: Asteroid Lightcurve Database
C-type: carbonaceous
S-type: siliceous
M-type: metallic
PDS: Photometric Data Catalog
MPC: Minor Planet Center
SNR: Signal-to-Noise Ratio
# It is possible to explicitly ignore the `doi-exists` check for certain citation keys
error_rules:
- rule: doi-exists
Expand All @@ -28,13 +41,5 @@ project:
- jupyter
- sklearn1
- sklearn2
# A banner will be generated for you on publication, this is a placeholder
banner: banner.png
# The rest of the information shouldn't be modified
subject: Research Article
open_access: true
license: CC-BY-4.0
venue: Scipy 2024
date: 2024-07-10
site:
template: article-theme
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