11/3/23: Readings and Status Updates

Agenda and Minutes

Lavacicles on the roof of Lava River Cave, Flagstaff, AZ (Summer 2022). (There is another cave of the same name in Oregon.)

 

 

 

 

 

 

For a different image of a lava flow cave, see https://www.universetoday.com/164015/a-collapsed-martian-lava-chamber-seen-from-space

1. Updates/announcements/status reports

  • HA is session chair at the OAS meeting next week (Math, Computer Science and Statistics).
  • EG: Senior data scientist with knowledge of large language models needed. Hands on work. 
  • NMIMS project - they have exams now

2. Reading and discussion

  • Current readings on kidneys or space (or both), depending on interest and attendance.
    • Our own article “Future Satellite lifetime prediction from the historical trend in satellite half-lives,” Journal of Systemics, Cybernetics and Informatics (2022), 20(3):40-45. We got up to the paragraph beginning "Figure 4 shows the half-life 5 year moving average curve." and can start there (depending on attendance).
    • Current kidney reading: The Ensembles of Machine Learning Methods for Survival Predicting after Kidney Transplantation, Tolstyak et al., 2021, https://www.mdpi.com/2076-3417/11/21/10380. We previously got up to "The main objectives of this study are to use the Kapplan-Meier [sic] method and machine learning" and can start with that next time we do this article.
    • Evaluate some new kidney related readings listed below.
    • We started (and finished) a new space(-inspired) reading.
  • Space readings. Here are some possible readings in order from highest to lowest score.
    • 9/29/23: We checked https://towardsdatascience.com/understanding-confusion-matrix-a9ad42dcfd62 and evaluated it at 4.5.
    • 9/29/23: We checked https://towardsdatascience.com/understanding-auc-roc-curve-68b2303cc9c5, evaluating it at 4 1/3.
    • 9/8/23: We could do part of: "Understanding Statistics and Experimental Design," https://link.springer.com/book/10.1007/978-3-030-03499-3. Chapter "Meta-Analysis" was evaluated at 4.
    • 9/8/23: We once started: https://www.newthingsunderthesun.com/pub/4xnyepnn/release/9. We read up to "In their paper, firms use these technologies to produce a fixed amount of output every period." Working through more was evaluated at 4.
    • 9/8/23: We could do this from the "talks" section of planet4589: https://planet4589.org/talks. The ones we looked at were all voted at 3 1/3.
    • Attendees could suggest possible readings/viewings between now and next time, or we could take time now for each person to search for things and report back.
  • Kidney articles, some evaluated for future reading and some yet to be evaluated.
    • Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study, Jesper Kers*, Roman D Bülow*, Barbara M Klinkhammer, Gerben E Breimer, Francesco Fontana, Adeyemi Adefidipe Abiola, Rianne Hofstraat, Garry L Corthals, Hessel Peters-Sengers, Sonja Djudjaj, Saskia von Stillfried, David L Hölscher, Tobias T Pieters, Arjan D van Zuilen, Frederike J Bemelman, Azam S Nurmohamed, Maarten Naesens, Joris J T H Roelofs, Sandrine Florquin, Jürgen Floege, Tri Q Nguyen, Jakob N Kather†, Peter Boor†, https://pubmed.ncbi.nlm.nih.gov/34794930/. 9/1/23 vote was 3 5/6.
    • Artificial intelligence and kidney transplantation, Nurhan Seyahi, Seyda Gul Ozcan, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8290997. 9/15/23 vote was 4.0. 
    • TC wrote: Authors Zhang et al. (2020) conducted a similar study for clear cell renal cell carcinoma survival prediction, however they worked with publicly available genetic data from the Genomic Data Commons Data Portal (National Cancer Institute, n.d.) and the Cancer Genome Atlas (National Center for Biotechnology Information, n.d.). Using this data as well as other clinical prognostic parameters, the authors identified five prognostic genes that they believe are better survival predictors of clear cell renal cell carcinoma than then TNM system. Considering that the authors only explored public data, there are potentially additional genes or non-publicly available variables that could be explored. [Reference:] Zhang, Z., Lin, E., Zhuang, H., Xie, L., Feng, X., Liu, J., & Yu, Y. (2020). Construction of a novel gene-based model for prognosis prediction of clear cell renal cell carcinoma. Cancer Cell International, 20(1), 27. https://doi.org/10.1186/s12935-020-1113-6
    • Long-Term Time Series Forecasting and Updates on Survival Analysis of Glioblastoma Multiforme: A 1975–2018 Population-Based Study, https://doi.org/10.1159/000522611
    • These describe a method for using recent lifetime data, which is the same problem that TC is working on: (1) Brenner, H., Gefeller, O., & Hakulinen, T. (2004). Period analysis for ‘up-to-date’ cancer survival data. European Journal of Cancer, 40(3), 326–335. https://doi.org/10.1016/j.ejca.2003.10.013. (2) Brenner, H., & Hakulinen, T. (2006). Up-to-date and Precise Estimates of Cancer Patient Survival: Model-based Period Analysis. American Journal of Epidemiology, 164(7), 689–696. https://doi.org/10.1093/aje/kwj243
    • TC wrote: "On the other hand, authors Solé et al. (2014) investigate the dynamics of technological innovation and the conditions under which it may lead to explosive growth or enter a linear regime. It develops a generalized model of technological evolution, focusing on two crucial properties: the number of previous technologies required to create new innovations and the rate at which technology ages. The study explores two different models of combinatorial growth, one involving long-range memory and the availability of old inventions for new innovations, and the other with aging having a characteristic time scale" 
      • Ref.: Solé, R. V., Amor, D. R., & Valverde, S. (2014). On singularities in combination-driven models of technological innovation (arXiv:1407.6890). arXiv. https://doi.org/10.48550/arXiv.1407.6890
  • Here are some generic questions about articles (and videos):
    • What is the source?
    • What is the most significant advance in the human knowledge presented in the paper?
    • Why is that advance important?
    • What important questions arise from the paper for future research?
    • What important questions would it be nice if the paper answered, but does not answer?
    • What does the paper present that is novel (no one else has provided that before)?
    • What is the relevance of the paper to our satellite research goals?
    • Questions from the group?

No comments:

10/27/23: Reductio ad Absurdum, NMIMS, Etc.

Agenda and Minutes

"The mangrove mesocosm of Biosphere 2" (+ finger):

1. Updates/announcements/status reports

 (The meeting ended here)

2. Reading and discussion

  • Current kidney reading: The Ensembles of Machine Learning Methods for Survival Predicting after Kidney Transplantation, Tolstyak et al., 2021, https://www.mdpi.com/2076-3417/11/21/10380. We previously got up to "The main objectives of this study are to use the Kapplan-Meier method and machine learning" and can start with that next time we do this article.
  • Space readings. Here are some possible readings in order from highest to lowest score.
    • 9/29/23: We checked https://www.linkedin.com/pulse/confusion-matrix-accuracy-precision-recall-f1-score-measures-silwal/ and evaluated it at 4 5/6.
    • 9/29/23: We checked https://towardsdatascience.com/understanding-confusion-matrix-a9ad42dcfd62 and evaluated it at 4.5.
    • 9/29/23: We checked https://towardsdatascience.com/understanding-auc-roc-curve-68b2303cc9c5, evaluating it at 4 1/3.
    • 9/8/23: We could do part of: "Understanding Statistics and Experimental Design," https://link.springer.com/book/10.1007/978-3-030-03499-3. Chapter "Meta-Analysis" was evaluated at 4.
    • 9/8/23: We once started: https://www.newthingsunderthesun.com/pub/4xnyepnn/release/9. We read up to "In their paper, firms use these technologies to produce a fixed amount of output every period." Working through more was evaluated at 4.
    • 9/8/23: We could do this from the "talks" section of planet4589: https://planet4589.org/talks. The ones we looked at were all voted at 3 1/3.
    • Attendees could suggest possible readings/viewings between now and next time, or we could take time now for each person to search for things and report back.
    • Kidney articles evaluated for future reading.
      • Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study, Jesper Kers*, Roman D Bülow*, Barbara M Klinkhammer, Gerben E Breimer, Francesco Fontana, Adeyemi Adefidipe Abiola, Rianne Hofstraat, Garry L Corthals, Hessel Peters-Sengers, Sonja Djudjaj, Saskia von Stillfried, David L Hölscher, Tobias T Pieters, Arjan D van Zuilen, Frederike J Bemelman, Azam S Nurmohamed, Maarten Naesens, Joris J T H Roelofs, Sandrine Florquin, Jürgen Floege, Tri Q Nguyen, Jakob N Kather†, Peter Boor†, https://pubmed.ncbi.nlm.nih.gov/34794930/. 9/1/23 vote was 3 5/6.
      • Artificial intelligence and kidney transplantation, Nurhan Seyahi, Seyda Gul Ozcan, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8290997. 9/15/23 vote was 4.0.
  • Here are some generic questions about articles (and videos):
    • What is the source?
    • What is the most significant advance in the human knowledge presented in the paper?
    • Why is that advance important?
    • What important questions arise from the paper for future research?
    • What important questions would it be nice if the paper answered, but does not answer?
    • What does the paper present that is novel (no one else has provided that before)?
    • What is the relevance of the paper to our satellite research goals?
    • Questions from the group?

 3. Completed readings include numerous prior items as well as these:

    • Kidneys:
      • Covadonga Díez-Sanmartín and Antonio Sarasa Cabezuelo, Application of Artificial Intelligence Techniques to Predict Survival in Kidney Transplantation: A Review, https://www.mdpi.com/2077-0383/9/2/572. (Except appendices)
    • Space:
      • 7/21/2023: We finished https://planet4589.org/space/gcat/web/intro/type.html.
      • 5/12/2023: We finished https://planet4589.org/space/astro/web/astrolist.html and looked at https://planet4589.org/space/astro/lists/astro.html for examples. It appears that the date of the first flight for each astronaut is NOT given, even though the rows are in chronological order!
      • 3/17/23: We finished https://planet4589.org/space/astro/web/astrolist.html.
      • We finished section 6 of MR paper (C:\Users\jdberleant\Dropbox\research\SpaceTravelMetric-b6-5-16\PapersAndPresentations\byOthers\MatthewRoughanDraft.pdf). This completes the parts that we planned to read. 
      • Video: https://www.youtube.com/watch?v=S9o66fH_sgo (about MOXIE device which converts CO2 to oxygen). We then read a bit more about MOXIE on wikipedia.
      • Https://www.theatlantic.com/science/archive/2019/07/we-need-new-science-progress/594946 on "progress studies." Completed 9/30/22.
      • Ryan et al., "A Forgotten Moment in Physiology: the Lovelace Woman in Space Program (1960-1962)", 2009. Completed 7/22/22.
      • Various previous papers.

 

 

No comments:

10/20/23: Phishing Scam Targeting Scholars; Paper Review; NMIMS Project

 Agenda and Minutes







 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Robert Goddard, father of modern rocketry, Roswell Museum and Art Center, Summer 2022.

1. Updates/announcements/status reports

  • PT. Dodged an academic scam! See next.
---------------------------------------------------------------------------------------------------- 
Email we received:

Manuscript Submission | SCOPUS Q3
Advanced Engineering Sciences | Impact Factor: 1.01

Prof. ZHA Jian-zhong
Associate Editor
Department of Engineering
Beijing Jiaotong University.
China

Dr. ########

Hope you are doing well.

Your research entitled "Quantitative Technology Forecasting: A Review of Trend Extrapolation Methods" is very interesting and we must appreciate for your work.

I would like to know your interest and time in submitting work Mini-review or Short commentary based on your publication.

Our Journal is Indexed in Scopus and PubMed with Impact factor of 1.01

We also accept Research, Reviews, Case Studies, Device evaluations, etc. to be considered for the journal upcoming issue.

Stay safe and Take care.

Thanks & Regards 
Editorial Office
Advanced Engineering Sciences
Impact Factor: 1.01| Scopus Q3| PubMed

---------------------

PT wrote: I disregarded it after I found that the journal is problematic, listed as a cloned journal. Please also refer to the webpage below.

https://journalrw.org/list-of-hijacked-journals-cloned-journals/

---------------------

DB wrote:
Wow! I found two websites:

I think we can guess which one is the clone and which is the real one. The email was from the host
which when I went there looked familiar... :)

So I think the email was from the fake copy of the real journal.

Thanks for figuring it out. I wonder if it is worth discussing during our Friday noon meeting.
 
Regards,
DB

---------------------

Ambitious authors beware! This is no more than a sophisticated phishing scam to fool people into paying publication fees.

--------------------------------------------------------------------------------------------------------------------------

  • TC. Results

2. Reading and discussion

  • Current kidney reading.
    • We are reading: The Ensembles of Machine Learning Methods for Survival Predicting after Kidney Transplantation, Tolstyak et al., 2021, https://www.mdpi.com/2076-3417/11/21/10380. We previously got up to "The main objectives of this study are to use the Kapplan-Meier method and machine learning" and can start with that next time.
  • Space readings. Here are some possible readings in order from highest to lowest score.
    • 9/29/23: We checked https://www.linkedin.com/pulse/confusion-matrix-accuracy-precision-recall-f1-score-measures-silwal/ and evaluated it at 4 5/6.
    • 9/29/23: We checked https://towardsdatascience.com/understanding-confusion-matrix-a9ad42dcfd62 and evaluated it at 4.5.
    • 9/29/23: We checked https://towardsdatascience.com/understanding-auc-roc-curve-68b2303cc9c5, evaluating it at 4 1/3.
    • 9/8/23: We could do part of: "Understanding Statistics and Experimental Design," https://link.springer.com/book/10.1007/978-3-030-03499-3. Chapter "Meta-Analysis" was evaluated at 4.
    • 9/8/23: We once started: https://www.newthingsunderthesun.com/pub/4xnyepnn/release/9. We read up to "In their paper, firms use these technologies to produce a fixed amount of output every period." Working through more was evaluated at 4.
    • 9/8/23: We could do this from the "talks" section of planet4589: https://planet4589.org/talks. The ones we looked at were all voted at 3 1/3.
    • Attendees could suggest possible readings/viewings between now and next time, or we could take time now for each person to search for things and report back.
    • Kidney articles evaluated:
      • Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study, Jesper Kers*, Roman D Bülow*, Barbara M Klinkhammer, Gerben E Breimer, Francesco Fontana, Adeyemi Adefidipe Abiola, Rianne Hofstraat, Garry L Corthals, Hessel Peters-Sengers, Sonja Djudjaj, Saskia von Stillfried, David L Hölscher, Tobias T Pieters, Arjan D van Zuilen, Frederike J Bemelman, Azam S Nurmohamed, Maarten Naesens, Joris J T H Roelofs, Sandrine Florquin, Jürgen Floege, Tri Q Nguyen, Jakob N Kather†, Peter Boor†, https://pubmed.ncbi.nlm.nih.gov/34794930/. 9/1/23 vote was 3 5/6.
      • Artificial intelligence and kidney transplantation, Nurhan Seyahi, Seyda Gul Ozcan, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8290997. 9/15/23 vote was 4.0.
  • Here are some generic questions about articles (and videos):
    • What is the source?
    • What is the most significant advance in the human knowledge presented in the paper?
    • Why is that advance important?
    • What important questions arise from the paper for future research?
    • What important questions would it be nice if the paper answered, but does not answer?
    • What does the paper present that is novel (no one else has provided that before)?
    • What is the relevance of the paper to our satellite research goals?
    • Questions from the group?

 3. Completed readings include numerous prior items as well as these:

    • Kidneys:
    • Space:
      • 7/21/2023: We finished https://planet4589.org/space/gcat/web/intro/type.html.
      • 5/12/2023: We finished https://planet4589.org/space/astro/web/astrolist.html and looked at https://planet4589.org/space/astro/lists/astro.html for examples. It appears that the date of the first flight for each astronaut is NOT given, even though the rows are in chronological order!
      • 3/17/23: We finished https://planet4589.org/space/astro/web/astrolist.html.
      • We finished section 6 of MR paper (C:\Users\jdberleant\Dropbox\research\SpaceTravelMetric-b6-5-16\PapersAndPresentations\byOthers\MatthewRoughanDraft.pdf). This completes the parts that we planned to read. 
      • Video: https://www.youtube.com/watch?v=S9o66fH_sgo (about MOXIE device which converts CO2 to oxygen). We then read a bit more about MOXIE on wikipedia.
      • Https://www.theatlantic.com/science/archive/2019/07/we-need-new-science-progress/594946 on "progress studies." Completed 9/30/22.
      • Ryan et al., "A Forgotten Moment in Physiology: the Lovelace Woman in Space Program (1960-1962)", 2009. Completed 7/22/22.
      • Various previous papers.



No comments:

10/13/23: Student Updates Including NMIMS Project

Agenda and Minutes




Two views of Meteor Crater, Arizona (Summer 2022)

1. Updates/announcements/status reports
  • PT. 



  • Launch year: 2030 
  • Launch mass: 100 kg
  • Destination: Asteroid belt
  • Type of contact: Lander
  • Country of manufacture: U.S.
  • R&D investment & NASA's budget: the same amount as the last failed spacecraft's

2. Reading and discussion

The meeting ended here.

  • Current kidney reading.
    • We are reading: The Ensembles of Machine Learning Methods for Survival Predicting after Kidney Transplantation, Tolstyak et al., 2021, https://www.mdpi.com/2076-3417/11/21/10380. We previously got up to "The main objectives of this study are to use the Kapplan-Meier method and machine learning" and can start with that next time.
  • Space readings. Here are some possible readings in order from highest to lowest score.
    • 9/29/23: We checked https://www.linkedin.com/pulse/confusion-matrix-accuracy-precision-recall-f1-score-measures-silwal/ and evaluated it at 4 5/6.
    • 9/29/23: We checked https://towardsdatascience.com/understanding-confusion-matrix-a9ad42dcfd62 and evaluated it at 4.5.
    • 9/29/23: We checked https://towardsdatascience.com/understanding-auc-roc-curve-68b2303cc9c5, evaluating it at 4 1/3.
    • 9/8/23: We could do part of: "Understanding Statistics and Experimental Design," https://link.springer.com/book/10.1007/978-3-030-03499-3. Chapter "Meta-Analysis" was evaluated at 4.
    • 9/8/23: We once started: https://www.newthingsunderthesun.com/pub/4xnyepnn/release/9. We read up to "In their paper, firms use these technologies to produce a fixed amount of output every period." Working through more was evaluated at 4.
    • 9/8/23: We could do this from the "talks" section of planet4589: https://planet4589.org/talks. The ones we looked at were all voted at 3 1/3.
    • Attendees could suggest possible readings/viewings between now and next time, or we could take time now for each person to search for things and report back.
    • Kidney articles evaluated:
      • Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study, Jesper Kers*, Roman D Bülow*, Barbara M Klinkhammer, Gerben E Breimer, Francesco Fontana, Adeyemi Adefidipe Abiola, Rianne Hofstraat, Garry L Corthals, Hessel Peters-Sengers, Sonja Djudjaj, Saskia von Stillfried, David L Hölscher, Tobias T Pieters, Arjan D van Zuilen, Frederike J Bemelman, Azam S Nurmohamed, Maarten Naesens, Joris J T H Roelofs, Sandrine Florquin, Jürgen Floege, Tri Q Nguyen, Jakob N Kather†, Peter Boor†, https://pubmed.ncbi.nlm.nih.gov/34794930/. 9/1/23 vote was 3 5/6.
      • Artificial intelligence and kidney transplantation, Nurhan Seyahi, Seyda Gul Ozcan, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8290997. 9/15/23 vote was 4.0.
  • Here are some generic questions about articles (and videos):
    • What is the source?
    • What is the most significant advance in the human knowledge presented in the paper?
    • Why is that advance important?
    • What important questions arise from the paper for future research?
    • What important questions would it be nice if the paper answered, but does not answer?
    • What does the paper present that is novel (no one else has provided that before)?
    • What is the relevance of the paper to our satellite research goals?
    • Questions from the group?

 3. Completed readings include numerous prior items as well as these:

    • Kidneys:
    • Space:
      • 7/21/2023: We finished https://planet4589.org/space/gcat/web/intro/type.html.
      • 5/12/2023: We finished https://planet4589.org/space/astro/web/astrolist.html and looked at https://planet4589.org/space/astro/lists/astro.html for examples. It appears that the date of the first flight for each astronaut is NOT given, even though the rows are in chronological order!
      • 3/17/23: We finished https://planet4589.org/space/astro/web/astrolist.html.
      • We finished section 6 of MR paper (C:\Users\jdberleant\Dropbox\research\SpaceTravelMetric-b6-5-16\PapersAndPresentations\byOthers\MatthewRoughanDraft.pdf). This completes the parts that we planned to read. 
      • Video: https://www.youtube.com/watch?v=S9o66fH_sgo (about MOXIE device which converts CO2 to oxygen). We then read a bit more about MOXIE on wikipedia.
      • Https://www.theatlantic.com/science/archive/2019/07/we-need-new-science-progress/594946 on "progress studies." Completed 9/30/22.
      • Ryan et al., "A Forgotten Moment in Physiology: the Lovelace Woman in Space Program (1960-1962)", 2009. Completed 7/22/22.
      • Various previous papers.


No comments:

10/6/23: Revisit a paper for guests

 


Agenda and Minutes


 

 

 

 

 

 

 

 

 

 

 

 

  

 

 

 

 

 

 

One of the many observatories at Lowell Observatory, Flagstaff, AZ, Summer 2022 

 


 
Another observatory at Lowell Observatory, Flagstaff, AZ, Summer 2022. This one was in disrepair and not open to the public. 
 

1. Updates/announcements/status reports

  • PT.
  • TC.
  • JS.
  • Welcome to guests YB and colleagues.

2. Reading and discussion

  • Readings: kidneys or space (or both), depending on interest and attendance: we did the space category, evaluating some new potential readings.
    • Today's reading.
    • Current kidney reading.
      • We are reading: The Ensembles of Machine Learning Methods for Survival Predicting after Kidney Transplantation, Tolstyak et al., 2021, https://www.mdpi.com/2076-3417/11/21/10380. We previously got up to "The main objectives of this study are to use the Kapplan-Meier method and machine learning" and can start with that next time.
    • Space readings. Here are some possible readings in order from highest to lowest score.
      • 9/29/23: We checked https://www.linkedin.com/pulse/confusion-matrix-accuracy-precision-recall-f1-score-measures-silwal/ and evaluated it at 4 5/6.
      • 9/29/23: We checked https://towardsdatascience.com/understanding-confusion-matrix-a9ad42dcfd62 and evaluated it at 4.5.
      • 9/29/23: We checked https://towardsdatascience.com/understanding-auc-roc-curve-68b2303cc9c5, evaluating it at 4 1/3.
      • 9/8/23: We could do part of: "Understanding Statistics and Experimental Design," https://link.springer.com/book/10.1007/978-3-030-03499-3. Chapter "Meta-Analysis" was evaluated at 4.
      • 9/8/23: We once started: https://www.newthingsunderthesun.com/pub/4xnyepnn/release/9. We read up to "In their paper, firms use these technologies to produce a fixed amount of output every period." Working through more was evaluated at 4.
      • 9/8/23: We could do this from the "talks" section of planet4589: https://planet4589.org/talks. The ones we looked at were all voted at 3 1/3.
      • Attendees could suggest possible readings/viewings between now and next time, or we could take time now for each person to search for things and report back.
    • Kidney articles evaluated:
      • Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study, Jesper Kers*, Roman D Bülow*, Barbara M Klinkhammer, Gerben E Breimer, Francesco Fontana, Adeyemi Adefidipe Abiola, Rianne Hofstraat, Garry L Corthals, Hessel Peters-Sengers, Sonja Djudjaj, Saskia von Stillfried, David L Hölscher, Tobias T Pieters, Arjan D van Zuilen, Frederike J Bemelman, Azam S Nurmohamed, Maarten Naesens, Joris J T H Roelofs, Sandrine Florquin, Jürgen Floege, Tri Q Nguyen, Jakob N Kather†, Peter Boor†, https://pubmed.ncbi.nlm.nih.gov/34794930/. 9/1/23 vote was 3 5/6.
      • Artificial intelligence and kidney transplantation, Nurhan Seyahi, Seyda Gul Ozcan, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8290997. 9/15/23 vote was 4.0.
  • Here are some generic questions about articles (and videos):
    • What is the source?
    • What is the most significant advance in the human knowledge presented in the paper?
    • Why is that advance important?
    • What important questions arise from the paper for future research?
    • What important questions would it be nice if the paper answered, but does not answer?
    • What does the paper present that is novel (no one else has provided that before)?
    • What is the relevance of the paper to our satellite research goals?
    • Questions from the group?

 3. Completed readings include numerous prior items as well as these:

    • Kidneys:
    • Space:
      • 7/21/2023: We finished https://planet4589.org/space/gcat/web/intro/type.html.
      • 5/12/2023: We finished https://planet4589.org/space/astro/web/astrolist.html and looked at https://planet4589.org/space/astro/lists/astro.html for examples. It appears that the date of the first flight for each astronaut is NOT given, even though the rows are in chronological order!
      • 3/17/23: We finished https://planet4589.org/space/astro/web/astrolist.html.
      • We finished section 6 of MR paper (C:\Users\jdberleant\Dropbox\research\SpaceTravelMetric-b6-5-16\PapersAndPresentations\byOthers\MatthewRoughanDraft.pdf). This completes the parts that we planned to read. 
      • Video: https://www.youtube.com/watch?v=S9o66fH_sgo (about MOXIE device which converts CO2 to oxygen). We then read a bit more about MOXIE on wikipedia.
      • Https://www.theatlantic.com/science/archive/2019/07/we-need-new-science-progress/594946 on "progress studies." Completed 9/30/22.
      • Ryan et al., "A Forgotten Moment in Physiology: the Lovelace Woman in Space Program (1960-1962)", 2009. Completed 7/22/22.
      • Various previous papers.

No comments:

9/29/23: Status updates; rank some space readings

Welcome to: The human race into space will require kidneys

View from inside Biosphere 2, Arizona, Summer 2022

Agenda and Minutes

1. Updates/status reports

  • PT. Showed some current in-process results.
  • TC. Got preliminary results.

3. Reading and discussion

  • Readings: kidneys or space (or both), depending on interest and attendance: we did the space category, evaluating some new potential readings.
    • Current kidney reading.
      • We are reading: The Ensembles of Machine Learning Methods for Survival Predicting after Kidney Transplantation, Tolstyak et al., 2021, https://www.mdpi.com/2076-3417/11/21/10380. We previously got up to "The main objectives of this study are to use the Kapplan-Meier method and machine learning" and can start with that next time.
    • Space readings. Here they are in order from highest to lowest score.
      • 9/29/23: We checked https://www.linkedin.com/pulse/confusion-matrix-accuracy-precision-recall-f1-score-measures-silwal/ and evaluated it at 4 5/6.
      • 9/29/23: We checked https://towardsdatascience.com/understanding-confusion-matrix-a9ad42dcfd62 and evaluated it at 4.5.
      • 9/29/23: We checked https://towardsdatascience.com/understanding-auc-roc-curve-68b2303cc9c5, evaluating it at 4 1/3.
      • 9/8/23: We could do part of: "Understanding Statistics and Experimental Design," https://link.springer.com/book/10.1007/978-3-030-03499-3. Chapter "Meta-Analysis" was evaluated at 4.
      • 9/8/23: We once started: https://www.newthingsunderthesun.com/pub/4xnyepnn/release/9. We read up to "In their paper, firms use these technologies to produce a fixed amount of output every period." Working through more was evaluated at 4.
      • 9/8/23: We could do this from the "talks" section of planet4589: https://planet4589.org/talks. The ones we looked at were all voted at 3 1/3.
      • Attendees could suggest possible readings/viewings between now and next time, or we could take time now for each person to search for things and report back.
    • Kidney articles evaluated:
      • Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study, Jesper Kers*, Roman D Bülow*, Barbara M Klinkhammer, Gerben E Breimer, Francesco Fontana, Adeyemi Adefidipe Abiola, Rianne Hofstraat, Garry L Corthals, Hessel Peters-Sengers, Sonja Djudjaj, Saskia von Stillfried, David L Hölscher, Tobias T Pieters, Arjan D van Zuilen, Frederike J Bemelman, Azam S Nurmohamed, Maarten Naesens, Joris J T H Roelofs, Sandrine Florquin, Jürgen Floege, Tri Q Nguyen, Jakob N Kather†, Peter Boor†, https://pubmed.ncbi.nlm.nih.gov/34794930/. 9/1/23 vote was 3 5/6.
      • Artificial intelligence and kidney transplantation, Nurhan Seyahi, Seyda Gul Ozcan, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8290997. 9/15/23 vote was 4.0.
  • Here are some generic questions about articles (and videos):
    • What is the source?
    • What is the most significant advance in the human knowledge presented in the paper?
    • Why is that advance important?
    • What important questions arise from the paper for future research?
    • What important questions would it be nice if the paper answered, but does not answer?
    • What does the paper present that is novel (no one else has provided that before)?
    • What is the relevance of the paper to our satellite research goals?
    • Questions from the group?

 4. Completed readings include numerous prior items as well as these:

    • Kidneys:
    • Space:
      • 7/21/2023: We finished https://planet4589.org/space/gcat/web/intro/type.html.
      • 5/12/2023: We finished https://planet4589.org/space/astro/web/astrolist.html and looked at https://planet4589.org/space/astro/lists/astro.html for examples. It appears that the date of the first flight for each astronaut is NOT given, even though the rows are in chronological order!
      • 3/17/23: We finished https://planet4589.org/space/astro/web/astrolist.html.
      • We finished section 6 of MR paper (C:\Users\jdberleant\Dropbox\research\SpaceTravelMetric-b6-5-16\PapersAndPresentations\byOthers\MatthewRoughanDraft.pdf). This completes the parts that we planned to read. 
      • Video: https://www.youtube.com/watch?v=S9o66fH_sgo (about MOXIE device which converts CO2 to oxygen). We then read a bit more about MOXIE on wikipedia.
      • Https://www.theatlantic.com/science/archive/2019/07/we-need-new-science-progress/594946 on "progress studies." Completed 9/30/22.
      • Ryan et al., "A Forgotten Moment in Physiology: the Lovelace Woman in Space Program (1960-1962)", 2009. Completed 7/22/22.
      • Various previous papers.




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 The Human Race Into Space Requires Kidneys, and Other Important Topics              A research and discussion group              Agen...