3 reasons we use graphic novels to teach math and physics
Créateur:
Klanderman, Sarah and Ho, Josha
Related Url Tesim:
Available from the publisher: https://theconversation.com/3-reasons-we-use-graphic-novels-to-teach-math-and-physics-211171
La description:
Post-pandemic, some educators are trying to reengage students with technology – like videos, computer gaming or artificial intelligence, just to name a few. But integrating these approaches in the classroom can be an uphill battle. Teachers using these tools often struggle to retain students’ attention, competing with the latest social media phenomenon, and can feel limited by using short video clips to get concepts across.
Graphic novels – offering visual information married with text – provide a means to engage students without losing all of the rigor of textbooks. As two educators in math and physics, we have found graphic novels to be effective at teaching students of all ability levels. We’ve used graphic novels in our own classes, and we’ve also inspired and encouraged other teachers to use them. And we’re not alone: Other teachers are rejuvenating this analog medium with a high level of success.
Declaração de direitos:
http://rightsstatements.org/vocab/InC/1.0/
licença:
https://creativecommons.org/licenses/by/4.0/
La langue:
English
Éditeur:
The Conversation US, Inc.
Type:
Article
Mot-clé:
Mathematics, Physics, STEM Education, Teaching Math, Math anxiety, and Graphic Novels
A chromosome-scale genome sequence of sudangrass (Sorghum sudanense) highlights the genome evolution and regulation of dhurrin biosynthesis
Créateur:
Bible, Paul, W., Wang, L., Jin, P., Zheng, J., Wang, Y., Zhan, Q., Li, J., Liu, Y., and Tu, W.
Related Url Tesim:
Available from publisher at: https://www.researchsquare.com/article/rs-1777118/v1
La description:
Sudangrass [ Sorghum sudanense (Piper) Stapf] is a hybrid between grain sorghum and its wild relative S. bicolor ssp. verticilliflorum and is grown as a forage crop due to its high biomass production and low dhurrin content compared to sorghum. In this study, we sequenced the sudangrass genome and showed that the assembled genome was 715.95 Mb with 35,243 protein-coding genes. Phylogenetic analysis with whole genome proteomes demonstrated that the sudangrass genome was more similar to US commercial sorghums than to its wild relatives and cultivated sorghums from Africa. We confirmed that at seedling stage, sudangrass accessions contained significantly lower dhurrin as measured by hydrocyanic acid potential (HCN-p) than cultivated sorghum accessions. Genome-wide association study identified a QTL most tightly associated with HCN-p and the linked SNPs were located in the 3’ UTR of Sobic.001G012300 which encodes CYP79A1, the enzyme that catalyzes the first step of dhurrin biosynthesis. As in other grasses such as maize and rice, we also found that copia/gypsy long terminal repeat retrotransposons were more abundant in cultivated than in wild sorghums, implying that crop domestication in the grasses was accompanied by increased copia/gypsy LTR retrotransposon insertions in the genomes.
This article is a preprint undergoing the peer-review process.
Declaração de direitos:
http://rightsstatements.org/vocab/InC/1.0/
licença:
https://creativecommons.org/licenses/by/4.0/
La langue:
English
Éditeur:
Research Square
Identificateur:
https://doi.org/10.21203/rs.3.rs-1777118/v1
Type:
Article
Mot-clé:
Genome evolution, Dhurrin biosynthesis, Sorghum sudanese, Genome, and GWAS
Early detection of SARS-CoV-2 variants through dynamic co-mutation network surveillance
Créateur:
Huang, Q., Qiu, H., Bible, Paul W., Huang, Y., Zheng, F., Gu, J., Sun, J., Hao, Y., and Liu, Y.
Related Url Tesim:
Available from PubMed Central: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9901361/?utm_source=delivra&utm_medium=email&utm_campaign=In%20a%20Glance%202.16.23&utm_id=4878202 and Available from the library catalog: https://marianunivindianapolis.on.worldcat.org/oclc/9762477578
La description:
Background
Precise public health and clinical interventions for the COVID-19 pandemic has spurred a global rush on SARS-CoV-2 variant tracking, but current approaches to variant tracking are challenged by the flood of viral genome sequences leading to a loss of timeliness, accuracy, and reliability. Here, we devised a new co-mutation network framework, aiming to tackle these difficulties in variant surveillance.
Methods
To avoid simultaneous input and modeling of the whole large-scale data, we dynamically investigate the nucleotide covarying pattern of weekly sequences. The community detection algorithm is applied to a co-occurring genomic alteration network constructed from mutation corpora of weekly collected data. Co-mutation communities are identified, extracted, and characterized as variant markers. They contribute to the creation and weekly updates of a community-based variant dictionary tree representing SARS-CoV-2 evolution, where highly similar ones between weeks have been merged to represent the same variants. Emerging communities imply the presence of novel viral variants or new branches of existing variants. This process was benchmarked with worldwide GISAID data and validated using national level data from six COVID-19 hotspot countries.
Results
A total of 235 co-mutation communities were identified after a 120 weeks' investigation of worldwide sequence data, from March 2020 to mid-June 2022. The dictionary tree progressively developed from these communities perfectly recorded the time course of SARS-CoV-2 branching, coinciding with GISAID clades. The time-varying prevalence of these communities in the viral population showed a good match with the emergence and circulation of the variants they represented. All these benchmark results not only exhibited the methodology features but also demonstrated high efficiency in detection of the pandemic variants. When it was applied to regional variant surveillance, our method displayed significantly earlier identification of feature communities of major WHO-named SARS-CoV-2 variants in contrast with Pangolin's monitoring.
Conclusion
An efficient genomic surveillance framework built from weekly co-mutation networks and a dynamic community-based variant dictionary tree enables early detection and continuous investigation of SARS-CoV-2 variants overcoming genomic data flood, aiding in the response to the COVID-19 pandemic.
Declaração de direitos:
http://rightsstatements.org/vocab/InC/1.0/
licença:
https://creativecommons.org/licenses/by/4.0/
La langue:
English
Éditeur:
Frontiers Media SA
Identificateur:
PMID: 36755900, PMCID: PMC9901361, and DOI: 10.3389/fpubh.2023.1015969
Type:
Article
Mot-clé:
SARS-CoV-2, co-mutation, surveillance, network, and community detection
Loday constructions on twisted products and on tori
Créateur:
Zou, Foling, Hedenlund, A., Klanderman, Sarah, Richter, B., and Lindenstrauss, A
Related Url Tesim:
Available from the publisher: https://www.sciencedirect.com/science/article/abs/pii/S0166864122001055, Available from the library catalog: https://marianunivindianapolis.on.worldcat.org/oclc/9472680232, Preprint from arxiv.org: https://arxiv.org/abs/2002.00715v1, and https://doi.org/10.1016/j.topol.2022.108103
La description:
Part of special issue: Women in Topology III. Abstract: We develop a spectral sequence for the homotopy groups of Loday constructions with respect to twisted cartesian products in the case where the group involved is discrete. We show that for commutative Hopf algebra spectra Loday constructions are stable, generalizing a result by Berest, Ramadoss and Yeung, but prove that several Loday constructions of truncated polynomial rings with reduced coefficients are not stable by investigating their torus homology.
Mathematical understanding and ownership in learning: affordances of and student views on templates for proof-writing
Créateur:
Klanderman, Sarah
Related Url Tesim:
Indexed in the library catalog: https://marianunivindianapolis.on.worldcat.org/oclc/9688483159, Available from the publisher: https://www.tandfonline.com/doi/abs/10.1080/0020739X.2022.2139775, and https://doi.org/10.1080/0020739X.2022.2139775
La description:
For students taking higher level mathematics courses, the transition from computational to proof-based courses such as analysis and algebra not only introduces a new format of writing and communication, but also a new level of abstraction. This study examines the affordances of one particular tool to aid students in this transition: a proof template. We highlight four cases based on interviews conducted at two universities, both from transition-to-proof classes in which templates were explicitly used and not. Results indicate that when introduced to this tool, students viewed these templates favourably. Two detailed cases provide evidence that templates can contribute to deep understanding and student ownership of learning by deconstructing the template structures for themselves. In settings where explicit templates were not introduced, two cases address possible concerns with templates as well as demonstrate that students may be intuiting this structure. Our work provides evidence for the benefits of templates as a learning aid to struggling and strong students alike that does not reduce creativity in proving, along with students’ appreciation of templates for structure and as guidelines to make sense of the increased abstraction required for proof-writing.
A New Way to Trace SARS-CoV-2 Variants Through Weighted Network Analysis of Frequency Trajectories of Mutations
Créateur:
Wang, Y., Zhang, Q., Liu, Y., Liang, Q., Zheng, F., Hao, Y., Bible, Paul, W., and Huang, Q.
Related Url Tesim:
Available from publisher: https://www.frontiersin.org/articles/10.3389/fmicb.2022.859241/full and Available from library catalog: https://marianunivindianapolis.on.worldcat.org/oclc/9465987921
La description:
Early detection of SARS-CoV-2 variants enables timely tracking of clinically important strains in order to inform the public health response. Current subtype-based variant surveillance depending on prior subtype assignment according to lag features and their continuous risk assessment may delay this process. We proposed a weighted network framework to model the frequency trajectories of mutations (FTMs) for SARS-CoV-2 variant tracing, without requiring prior subtype assignment. This framework modularizes the FTMs and conglomerates synchronous FTMs together to represent the variants. It also generates module clusters to unveil the epidemic stages and their contemporaneous variants. Eventually, the module-based variants are assessed by phylogenetic tree through sub-sampling to facilitate communication and control of the epidemic. This process was benchmarked using worldwide GISAID data, which not only demonstrated all the methodology features but also showed the module-based variant identification had highly specific and sensitive mapping with the global phylogenetic tree. When applying this process to regional data like India and South Africa for SARS-CoV-2 variant surveillance, the approach clearly elucidated the national dispersal history of the viral variants and their co-circulation pattern, and provided much earlier warning of Beta (B.1.351), Delta (B.1.617.2), and Omicron (B.1.1.529). In summary, our work showed that the weighted network modeling of FTMs enables us to rapidly and easily track down SARS-CoV-2 variants overcoming prior viral subtyping with lag features, accelerating the understanding and surveillance of COVID-19.
Declaração de direitos:
http://rightsstatements.org/vocab/InC/1.0/
licença:
https://creativecommons.org/licenses/by/4.0/
La langue:
English
Éditeur:
Frontiers Media
Identificateur:
DOI: https://doi.org/10.3389/fmicb.2022.859241
Type:
Article
Mot-clé:
Genomic variations, frequency trajectories of mutations (FTMs) , Transmission, Pathogenesis, and Emerging SARS-COV-2 Variants
Boudreaux, Aaron (Reviewer) , Kiers, Joshua (Reviewer), Scarlato, Mia M. (Illustrator), and Mandity, Edward (Project Manager)
Related Url Tesim:
Available from the publisher: https://pressbooks.palni.org/anopenguidetodatastructuresandalgorithms/
La description:
This textbook serves as a gentle introduction for undergraduates to theoretical concepts in data structures and algorithms in computer science while providing coverage of practical implementation (coding) issues. The field of computer science (CS) supports a multitude of essential technologies in science, engineering, and communication as a social medium. The varied and interconnected nature of computer technology permeates countless career paths making CS a popular and growing major program. Mastery of the science behind computer science relies on an understanding of the theory of algorithms and data structures. These concepts underlie the fundamental tradeoffs that dictate performance in terms of speed, memory usage, and programming complexity that separate novice programmers from professional practitioners.
Assujettir:
Algorithms and data structures
Declaração de direitos:
http://rightsstatements.org/vocab/InC/1.0/
licença:
https://creativecommons.org/licenses/by/4.0/
La langue:
English
Éditeur:
PALNI Press
Identificateur:
DOI: https://doi.org/10.59319/PQSW1530, 978-1-956390-23-0 , and 978-1-956390-24-7
Type:
Book
Mot-clé:
data structures, algorithms , and practical implementation (coding)
Available from the publisher: https://arxiv.org/abs/2301.11346v1
La description:
We provide traces for coHochschild homology, dualizing the Hattori-Stallings trace. Considering the trace of the identity, we define traces between coHochschild homology and certain K-theories of coalgebras. We employ bicategorical methods of Ponto to show that coHochschild homology is a shadow. Consequently, we obtain that coHochschild homology is Morita-Takeuchi invariant.
Declaração de direitos:
http://rightsstatements.org/vocab/InC/1.0/
licença:
https://creativecommons.org/licenses/by/4.0/
La langue:
English
Éditeur:
arXiv.org and Cornell University
Identificateur:
DOI: https://doi.org/10.48550/arXiv.2301.11346 and arXiv:2301.11346v1
Type:
Article
Mot-clé:
coalgebra, comodule, coHochschild homology, trace, bicategory, K-theory, and Morita-Takeuchi equivalence
Using graphic novels in the science, technology, engineering, and mathematics (STEM) classroom
Créateur:
Boerman-Cornell, W., Ho, J., Klanderman, D., and Klanderman, Sarah
Related Url Tesim:
Available from the publisher: https://www.bloomsbury.com/us/using-graphic-novels-in-the-stem-classroom-9781350279186/ and Available from the library catalog: https://marianunivindianapolis.on.worldcat.org/oclc/1400083887
La description:
This book provides everything STEM teachers need to use graphic novels in order to engage students, explain difficult concepts, and enrich learning. Drawing upon the latest educational research and over 60 years of combined teaching experience, the authors describe the multimodal affordances and constraints of each element of the STEM curriculum. Useful for new and seasoned teachers alike, the chapters provide practical guidance for teaching with graphic novels, with a section each for Science, Technology, Engineering, and Mathematics. An appendix provides nearly 100 short reviews of graphic novels arranged by topic, such as cryptography, evolution, computer coding, skyscraper design, nuclear physics, auto repair, meteorology, and human physiology, allowing the teacher to find multiple graphic novels to enhance almost any unit. These include graphic novel biographies of Stephen Hawking, Jane Goodall, Alan Turing, Rosalind Franklin, as well as popular titles such as T-Minus by Jim Ottaviani, Brooke Gladstone's The Influencing Machine, Theodoris Andropoulos's Who Killed Professor X, and Gene Yang's Secret Coders series.
Declaração de direitos:
http://rightsstatements.org/vocab/InC/1.0/
La langue:
English
Éditeur:
Bloomsbury
Identificateur:
9781350279186
Type:
Book
Mot-clé:
graphic novels, STEM education, and multimodal teaching