Zobrazeno 1 - 10
of 94
pro vyhledávání: '"John R. Jungck"'
Autor:
Raina S. Robeva, John R. Jungck
Publikováno v:
Axioms, Vol 12, Iss 3, p 280 (2023)
While Luria and Delbrück’s seminal work has found its way to some college biology textbooks, it is now largely absent from those in mathematics. This is a significant omission, and we consider it a missed opportunity to present a celebrated concep
Externí odkaz:
https://doaj.org/article/66c3bb9d03c441c4919e9be31c514d87
Publikováno v:
Biomimetics, Vol 8, Iss 1, p 12 (2022)
Self-assembly is usually considered a parallel process while self-folding and origami are usually considered to be serial processes. We believe that these distinctions do not hold in actual experiments. Based upon our experience with 4D printing, we
Externí odkaz:
https://doaj.org/article/975b77cbcf684fe8ab12bc80c8d334e7
Publikováno v:
Mathematics, Vol 9, Iss 21, p 2726 (2021)
Every biological image contains quantitative data that can be used to test hypotheses about how patterns were formed, what entities are associated with one another, and whether standard mathematical methods inform our understanding of biological phen
Externí odkaz:
https://doaj.org/article/602b9fc6624440328a791ed0f285c26d
Autor:
John R. Jungck, Jon Manon
Publikováno v:
Numeracy, Vol 12, Iss 1, p 4 (2019)
In workshops and courses involving in-service teachers, participating teachers can engage in problem posing and exploration of difficult issues when they are asked to quantitatively model alternative scenarios, statistically analyze complex data, and
Externí odkaz:
https://doaj.org/article/d1bdc64dea0645a9916fce7d7530cdf2
Autor:
John R. Jungck
Publikováno v:
Numeracy, Vol 5, Iss 1, p 7 (2012)
How can mathematics be integrated into multi-section interdisciplinary courses to enhance thematic understandings and shared common readings? As an example, four forms of quantitative reasoning are used to understand and critique one such common read
Externí odkaz:
https://doaj.org/article/a12ca555432a417a8550abd5682726cc
Autor:
Jason J. Williams, Rochelle E. Tractenberg, Bérénice Batut, Erin A. Becker, Anne M. Brown, Melissa L. Burke, Ben Busby, Nisha K. Cooch, Allissa A. Dillman, Samuel S. Donovan, Maria A. Doyle, Celia W.G. van Gelder, Christina R. Hall, Kate L. Hertweck, Kari L. Jordan, John R. Jungck, Ainsley R. Latour, Jessica M. Lindvall, Marta Lloret-Llinares, Gary S. McDowell, Rana Morris, Teresa Mourad, Amy Nisselle, Patricia Ordóñez, Lisanna Paladin, Patricia M. Palagi, Mahadeo A. Sukhai, Tracy K. Teal, Louise Woodley
Science, technology, engineering, mathematics, and medicine (STEMM) fields change rapidly and are increasingly interdisciplinary. Commonly, STEMM practitioners use short-format training (SFT) such as workshops and short courses for upskilling and res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3b8517b953f06b31d58f4086ac35e06
https://doi.org/10.1101/2023.03.10.531570
https://doi.org/10.1101/2023.03.10.531570
Autor:
John R. Jungck
Publikováno v:
PRIMUS. 32:304-345
Finite Mathematics has become an enormously rich and productive area of contemporary mathematical biology. Fortunately, educators have developed educational modules based upon many of the models th...
Autor:
John R Jungck, Metehan Cebeci
Publikováno v:
Evolutionary bioinformatics online. 18
Wenxiang diagrams illustrate protein helices as spirals on a plane and thus have the advantage over helical wheels of being planar graphs. Wenxiang 3.0 extends the original version by adding 3 major features: (1) individual amino acid residues can be
Publikováno v:
Mathematics
Volume 9
Issue 21
Mathematics, Vol 9, Iss 2726, p 2726 (2021)
Volume 9
Issue 21
Mathematics, Vol 9, Iss 2726, p 2726 (2021)
Every biological image contains quantitative data that can be used to test hypotheses about how patterns were formed, what entities are associated with one another, and whether standard mathematical methods inform our understanding of biological phen
Publikováno v:
Bulletin of Mathematical Biology. 82
We live in a data-rich world with rapidly growing databases with zettabytes of data. Innovation, computation, and technological advances have now tremendously accelerated the pace of discovery, providing driverless cars, robotic devices, expert healt