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Articles 661 - 690 of 9034
Full-Text Articles in Entire DC Network
Indigenous Peoples And Local Communities Report Ongoing And Widespread Climate Change Impacts On Local Social-Ecological Systems, Victoria Sharakhmatova, Victoria Reyes-García, David García-Del-Amo, Santiago Álvarez-Fernández, Petra Benyei, Laura Calvet-Mir, André B. Junqueira, Vanesse Labeyrie, Xiaoyue Li, Sara Miñarro, Vincent Porcher, Anna Porcuna-Ferrer, Anna Schlingmann, Christoph Schunko, Ramin Soleymani, Adrien Tofighi-Niaki, Mariam Abazeri, Emmanuel M.N.A.N. Attoh, Ayansina Ayanlade, Julia Vieira Da Cunha Ávila, Daniel Babai, Rodrigo C. Bulamah, Joao Campos-Silva, Rosario Carmona, Julián Caviedes, Rumbidzayi Chakauya, Mouna Chambon, Zhuo Chen, Fasco Chengula, Esther Conde, Aida Cuní-Sanchez
Indigenous Peoples And Local Communities Report Ongoing And Widespread Climate Change Impacts On Local Social-Ecological Systems, Victoria Sharakhmatova, Victoria Reyes-García, David García-Del-Amo, Santiago Álvarez-Fernández, Petra Benyei, Laura Calvet-Mir, André B. Junqueira, Vanesse Labeyrie, Xiaoyue Li, Sara Miñarro, Vincent Porcher, Anna Porcuna-Ferrer, Anna Schlingmann, Christoph Schunko, Ramin Soleymani, Adrien Tofighi-Niaki, Mariam Abazeri, Emmanuel M.N.A.N. Attoh, Ayansina Ayanlade, Julia Vieira Da Cunha Ávila, Daniel Babai, Rodrigo C. Bulamah, Joao Campos-Silva, Rosario Carmona, Julián Caviedes, Rumbidzayi Chakauya, Mouna Chambon, Zhuo Chen, Fasco Chengula, Esther Conde, Aida Cuní-Sanchez
Faculty Publications
The effects of climate change depend on specific local circumstances, posing a challenge for worldwide research to comprehensively encompass the diverse impacts on various local social-ecological systems. Here we use a place-specific but cross-culturally comparable protocol to document climate change indicators and impacts as locally experienced and analyze their distribution. We collected first-hand data in 48 sites inhabited by Indigenous Peoples and local communities and covering all climate zones and nature-dependent livelihoods. We documented 1,661 site-agreed reports of change corresponding to 369 indicators. Reports of change vary according to climate zone and livelihood activity. We provide compelling evidence that climate …
Training Data Augmentation With Data Distilled By Principal Component Analysis, Nikolay Metodiev Sirakov, Tahsin Shahnewaz, Arie Nakhmmani
Training Data Augmentation With Data Distilled By Principal Component Analysis, Nikolay Metodiev Sirakov, Tahsin Shahnewaz, Arie Nakhmmani
Faculty Publications
This work develops a new method for vector data augmentation. The proposed method applies principal component analysis (PCA), determines the eigenvectors of a set of training vectors for a machine learning (ML) method and uses them to generate the distilled vectors. The training and PCA-distilled vectors have the same dimension. The user chooses the number of vectors to be distilled and augmented to the set of training vectors. A statistical approach determines the lowest number of vectors to be distilled such that when augmented to the original vectors, the extended set trains an ML classifier to achieve a required accuracy. …
Scenario Setup And Forcing Data For Impact Model Evaluation And Impact Attribution Within The Third Round Of The Inter-Sectoral Impact Model Intercomparison Project (Isimip3a), Katja Frieler, Jan Volkholz, Stefan Lange, Jacob Schewe, Matthias Mengel, María Del Rocío Rivas López, Christian Otto, Christopher P.O. Reyer, Dirk Nikolaus Karger, Johanna T. Malle, Simon Treu, Christoph Menz, Julia L. Blanchard, Cheryl S. Harrison, Colleen M. Petrik, Tyler D. Eddy, Kelly Ortega-Cisneros, Camilla Novaglio, Yannick Rousseau, Reg A. Watson, Charles Stock, Xiao Liu, Ryan Heneghan, Derek Tittensor, Olivier Maury, Matthias Büchner, Thomas Vogt, Tingting Wang, Fubao Sun, Inga J. Sauer, Johannes Koch, Inne Vanderkelen, Jonas Jägermeyr
Scenario Setup And Forcing Data For Impact Model Evaluation And Impact Attribution Within The Third Round Of The Inter-Sectoral Impact Model Intercomparison Project (Isimip3a), Katja Frieler, Jan Volkholz, Stefan Lange, Jacob Schewe, Matthias Mengel, María Del Rocío Rivas López, Christian Otto, Christopher P.O. Reyer, Dirk Nikolaus Karger, Johanna T. Malle, Simon Treu, Christoph Menz, Julia L. Blanchard, Cheryl S. Harrison, Colleen M. Petrik, Tyler D. Eddy, Kelly Ortega-Cisneros, Camilla Novaglio, Yannick Rousseau, Reg A. Watson, Charles Stock, Xiao Liu, Ryan Heneghan, Derek Tittensor, Olivier Maury, Matthias Büchner, Thomas Vogt, Tingting Wang, Fubao Sun, Inga J. Sauer, Johannes Koch, Inne Vanderkelen, Jonas Jägermeyr
Faculty Publications
This paper describes the rationale and the protocol of the first component of the third simulation round of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP3a, http://www.isimip.org, last access: 2 November 2023) and the associated set of climate-related and direct human forcing data (CRF and DHF, respectively). The observation-based climate-related forcings for the first time include high-resolution observational climate forcings derived by orographic downscaling, monthly to hourly coastal water levels, and wind fields associated with historical tropical cyclones. The DHFs include land use patterns, population densities, information about water and agricultural management, and fishing intensities. The ISIMIP3a impact model simulations driven …
Estimating The Cholesterol Affinity Of Integral Membrane Proteins From Experimental Data, Theodore L. Steck, S. M. Ali Tabei, Yvonne Lange
Estimating The Cholesterol Affinity Of Integral Membrane Proteins From Experimental Data, Theodore L. Steck, S. M. Ali Tabei, Yvonne Lange
Faculty Publications
The cholesterol affinities of many integral plasma membrane proteins have been estimated by molecular computation. However, these values lack experimental confirmation. We therefore developed a simple mathematical model to extract sterol affinity constants and stoichiometries from published isotherms for the dependence of the activity of such proteins on the membrane cholesterol concentration. The binding curves for these proteins are sigmoidal, with strongly lagged thresholds attributable to competition for the cholesterol by bilayer phospholipids. The model provided isotherms that matched the experimental data using published values for the sterol association constants and stoichiometries of the phospholipids. Three oligomeric transporters were found …
Immersive Engineering Learning And Workforce Development: Pushing The Boundaries Of Knowledge Acquisition In A Cave, Opeyemi Peter Ojajuni, Brian Warren, Fareed Dawan, Yasser Ismail, Albertha Lawson
Immersive Engineering Learning And Workforce Development: Pushing The Boundaries Of Knowledge Acquisition In A Cave, Opeyemi Peter Ojajuni, Brian Warren, Fareed Dawan, Yasser Ismail, Albertha Lawson
Faculty Publications
This study provides insight into the use of virtual reality (VR) to enhance engineering curriculums and develop engineering students’ computational thinking (CT) levels at Historically Black College and Universities (HBCUs). The sample population for this research includes students enrolled in a first-year engineering course at an HBCU. To support the students’ education in cybersecurity additive manufacturing, virtual reality was used to simulate classroom teaching and assignments. Participants in this study were first taught using the traditional method that allowed them passive viewing of images and videos of objects and spaces. The participants were later taught the same lessons in a …
Image Processing Of Big Data For Plant Diseases Of Four Different Plant Categories: Represented By Rice, Banana, Sunflower, And Potato, Richard S. Segall, Prasanna Rajbhandari
Image Processing Of Big Data For Plant Diseases Of Four Different Plant Categories: Represented By Rice, Banana, Sunflower, And Potato, Richard S. Segall, Prasanna Rajbhandari
Faculty Publications
In this research, plant pathogens are considered as big data because of the numerical counts for high intensity pixels in the images. The research presents an automated approach for early detection of plant diseases using image processing techniques. By analyzing the color features of leaf areas, the k-means algorithm for color segmentation and the Gray-Level Co-Occurrence Matrix (GLCM) are used for disease classification. A novelty of this research is that it illustrates four categories of plants to analyze and compare: (1.) Grain, represented by Rice Plant Leaf Data; (2.) Fruit, represented by banana plant leaf data, (3.) Flower, represented by …
Extract Clinical Lab Tests From Electronic Hospital Records Through Featured Transformer Model, Lucy M. Lu, Richard S. Segall
Extract Clinical Lab Tests From Electronic Hospital Records Through Featured Transformer Model, Lucy M. Lu, Richard S. Segall
Faculty Publications
Natural language, as a rich source of information, has been used as the foundation of the product review, the demographic trend, and the domain specific knowledge bases. To extract entities from texts, the challenge is, free text is so sparse that missing features always exist which makes the training processing incomplete. Based on attention mechanism in deep learning architecture, the authors propose a featured transformer model (FTM) which adds category information into inputs to overcome missing feature issue. When attention mechanism performs Markov-like updates in deep learning architecture, the importance of the category represents the frequency connecting to other entities …
Research Criteria Towards An Interdisciplinary Stratospheric Aerosol Intervention Assessment, Simone Tilmes, Karen H. Rosenlof, Daniele Visioni, Ewa M. Bednarz, Tyler Felgenhauer, Wake Smith, Chris Lennard, Michael S. Diamond, Matthew Henry, Cheryl S. Harrison, Chelsea Thompson
Research Criteria Towards An Interdisciplinary Stratospheric Aerosol Intervention Assessment, Simone Tilmes, Karen H. Rosenlof, Daniele Visioni, Ewa M. Bednarz, Tyler Felgenhauer, Wake Smith, Chris Lennard, Michael S. Diamond, Matthew Henry, Cheryl S. Harrison, Chelsea Thompson
Faculty Publications
With surface temperatures already reaching unprecedented highs, resulting in significant adverse consequences for societies and ecosystems, there are increasing calls to expand research into climate interventions, including Stratospheric Aerosol Intervention (SAI). However, research and dissemination are currently fragmented and would benefit from a comprehensive international assessment of the current state of knowledge regarding impacts, risks, and recommendations for future SAI research directions. The goals of a scientific assessment would be to describe the current state of SAI research and evaluate proposed scenario-strategy combinations through well-designed evaluation guidelines. The suggested iterative approach would integrate natural and social science considerations to guide …
A Scalogram-Based Cnn Approach For Audio Classification In Construction Sites, Michele Scarpiniti, Raffaele Parisi, Yong Cheol Lee
A Scalogram-Based Cnn Approach For Audio Classification In Construction Sites, Michele Scarpiniti, Raffaele Parisi, Yong Cheol Lee
Faculty Publications
The automatic monitoring of activities in construction sites through the proper use of acoustic signals is a recent field of research that is currently in continuous evolution. In particular, the use of techniques based on Convolutional Neural Networks (CNNs) working on the spectrogram of the signal or its mel-scale variants was demonstrated to be quite successful. Nevertheless, the spectrogram has some limitations, which are due to the intrinsic trade-off between temporal and spectral resolutions. In order to overcome these limitations, in this paper, we propose employing the scalogramas a proper time–frequency representation of the audio signal. The scalogram is defined …
Relationship Between Genotype And Disease Phenotype For Gluten-Related Disorders, Michael Roberts, Nadine Grzeskowiak, Stephen Bricher
Relationship Between Genotype And Disease Phenotype For Gluten-Related Disorders, Michael Roberts, Nadine Grzeskowiak, Stephen Bricher
Faculty Publications
We investigated gluten-related disorders (GRD) in intestinal biopsy-proven subjects to determine the relation between genotype (i.e., Human Leukocyte Antigen (HLA) DQ alleles) and phenotype (i.e., antibody levels and clearly defined symptoms). Subjects had known DQ genotypes, information on IgA anti-Endomysial antibodies (EMA) and/or anti-tissue Trans Glutaminase (tTG) antibodies (tTGA). Subjects also answered a survey characterizing gastrointestinal, skin, and neural symptoms. Though all were biopsy-proven, HLA genotypes included all combinations of DQ2.5, DQ2.2, DQ8, DQ7.5, DQ5, and DQ6. Subject antibody levels were proportional to the number of DQ2.5 haplotypes, and subjects with non-CD-associated haplotypes did not have positive antibody scores (despite …
Understanding Inequality In U.S. Farm Subsidies Using Large-Scale Administrative Data, Jisang Yu, Sunghun Lim
Understanding Inequality In U.S. Farm Subsidies Using Large-Scale Administrative Data, Jisang Yu, Sunghun Lim
Faculty Publications
Using a large-scale, individual-level administrative data set for 2008–2021, we document the inequality in farm program payments across all recipients in the U.S. By examining the relationship between within-county inequality and demographic characteristics of farmers in a county, we find that there is a positive association between the share of Black operators and within-county inequality. We also provide suggestive evidence that a substantial portion of racial and gender disparities in farm payments are associated with crop production characteristics. We then utilize name information in farm payment data to infer the race and gender of individual payees. The analysis using approximately …
The Lavatory Lens: Tracking The Global Movement Of Pathogens Via Aircraft Wastewater, Aaron Bivins, Robert Morfino, Andrew Franklin, Stuart Simpson, Warish Ahmed
The Lavatory Lens: Tracking The Global Movement Of Pathogens Via Aircraft Wastewater, Aaron Bivins, Robert Morfino, Andrew Franklin, Stuart Simpson, Warish Ahmed
Faculty Publications
Modern commercial air travel connects disparate human populations. The global airline industry transported as many as 4.5 billion passengers annually in the years leading up to the COVID-19 pandemic. While such connections are convenient for commerce and tourism, air travel networks can also be efficient distributors of infectious diseases. During the COVID-19 pandemic, public health agencies used multi-layered control strategies to manage the risk of COVID-19 transmission associated with air travel. Simultaneously, the surveillance of aircraft wastewater was further developed as a promising new method to screen for COVID-19, including newly emerging lineages, among international travelers. Herein, we review the …
Algebraic And Geometric Properties Of A Family Of Rational Curves, J. William Hoffman, Haohao Wang
Algebraic And Geometric Properties Of A Family Of Rational Curves, J. William Hoffman, Haohao Wang
Faculty Publications
This paper consists of two components - an application part and a theoretical part, where the former targets the applications of computer aided geometric designs in generating parametric curves, and the latter focuses on the algebraic analysis of rational space curves. At the application level, we construct a family of rational space curves via quaternion products of two generating curves. At the theoretical level, we use algebraic methods to extract a µ-basis for this family of curves, and describe a basis for a special submodule of the syzygy module in terms of a µ-basis for the syzygy module of this …
Matroids Arising From Nested Sequences Of Flats In Projective And Affine Geometries, Matthew Mizell, James Oxley
Matroids Arising From Nested Sequences Of Flats In Projective And Affine Geometries, Matthew Mizell, James Oxley
Faculty Publications
Targets are matroids that arise from a nested sequence of flats in a projective geometry. This class of matroids was introduced by Nelson and Nomoto, who found the forbidden induced restrictions for binary targets. This paper generalizes their result to targets arising from projective geometries over GF (q). We also consider targets arising from nested sequences of affine flats and determine the forbidden induced restrictions for affine targets.
Torsion Invariants Of Complexes Of Groups, Boris Okun, Kevin Schreve
Torsion Invariants Of Complexes Of Groups, Boris Okun, Kevin Schreve
Faculty Publications
Suppose a residually finite group G acts cocompactly on a contractible complex with strict fundamental domain Q, where the stabilizers are either trivial or have normal \BbbZ-subgroups. Let @Q be the subcomplex of Q with nontrivial stabilizers. Our main result is a computation of the homology torsion growth of a chain of finite index normal subgroups of G. We show that independent of the chain, the normalized torsion limits to the torsion of @Q shifted a degree. Under milder assumptions of acyclicity of nontrivial stabilizers, we show similar formulas for the mod p-homology growth. We also obtain formulas for the …
The Imaging X-Ray Polarimetry Explorer 2.5 Years Later, Paolo Soffitta, Luca Baldini, Wayne Baumgartner, Ronaldo Bellazzini, Stephen D. Bongiorno, Niccolò Bucciantini, Enrico Costa, Michal Dovčiak, Steven Ehlert, Philip E. Kaaret, Jeffery J. Kolodziejczak, Luca Latronico, Frédréic Marin, Alan P. Marscher, Herman L. Marshall, Giorgio Matt, Fabio Muleri, Stephen L. O'Dell, Juri Poutanen, Brian Ramsey, Roger W. Romani, Patrick Slane, Allyn F. Tennant, Roberto Turolla, Martin C. Weisskopf, Iván Agudo, Lucio Angelo Antonelli, Matteo Bachetti, Stefano Bianchi, Raffaella Bonino, Alessandro Brez, Fiamma Capitanio, Simone Castellano
The Imaging X-Ray Polarimetry Explorer 2.5 Years Later, Paolo Soffitta, Luca Baldini, Wayne Baumgartner, Ronaldo Bellazzini, Stephen D. Bongiorno, Niccolò Bucciantini, Enrico Costa, Michal Dovčiak, Steven Ehlert, Philip E. Kaaret, Jeffery J. Kolodziejczak, Luca Latronico, Frédréic Marin, Alan P. Marscher, Herman L. Marshall, Giorgio Matt, Fabio Muleri, Stephen L. O'Dell, Juri Poutanen, Brian Ramsey, Roger W. Romani, Patrick Slane, Allyn F. Tennant, Roberto Turolla, Martin C. Weisskopf, Iván Agudo, Lucio Angelo Antonelli, Matteo Bachetti, Stefano Bianchi, Raffaella Bonino, Alessandro Brez, Fiamma Capitanio, Simone Castellano
Faculty Publications
We have, at last, an observatory dedicated to X-ray polarimetry that has been operational since December 9th, 2021. The Imaging X-ray Polarimetry Explorer (IXPE) is a NASA SMEX mission, in partnership with ASI, based on three X-ray telescopes, each equipped with a polarization-sensitive detector in the focus. An extending boom was deployed in orbit, positioning the detectors at the optimal distance from the optics, which have a 4-meter focal length. The spacecraft is three-axis stabilized, providing power, attitude determination and control, transmission, and commanding capabilities. After two and a half years of observation, IXPE has detected positive polarization …
A Nonlinear Least-Squares Convexity Enforcing C0 Interior Penalty Method For The Monge–Ampère Equation On Strictly Convex Smooth Planar Domains, Susanne C. Brenner, Li Yeng Sung, Zhiyu Tan, Hongchao Zhang
A Nonlinear Least-Squares Convexity Enforcing C0 Interior Penalty Method For The Monge–Ampère Equation On Strictly Convex Smooth Planar Domains, Susanne C. Brenner, Li Yeng Sung, Zhiyu Tan, Hongchao Zhang
Faculty Publications
We construct a nonlinear least-squares finite element method for computing the smooth convex solutions of the Dirichlet boundary value problem of the Monge-Ampère equation on strictly convex smooth domains in R2. It is based on an isoparametric C0 finite element space with exotic degrees of freedom that can enforce the convexity of the approximate solutions. A priori and a posteriori error estimates together with corroborating numerical results are presented.
Right-Angled Artin Subgroups Of Right-Angled Coxeter And Artin Groups, Pallavi Dani, Ivan Levcovitz
Right-Angled Artin Subgroups Of Right-Angled Coxeter And Artin Groups, Pallavi Dani, Ivan Levcovitz
Faculty Publications
We determine when certain natural classes of subgroups of right-angled Coxeter groups (RACGs) and right-angled Artin groups (RAAGs) are themselves RAAGs. We characterize finite-index visual RAAG subgroups of 2–dimensional RACGs. As an application, we show that any 2–dimensional, one-ended RACG with planar defining graph is quasi-isometric to a RAAG if and only if it is commensurable to a RAAG. Additionally, we give new examples of RACGs with nonplanar defining graphs which are commensurable to RAAGs. Finally, we give a new proof of a result of Dyer: every subgroup generated by conjugates of RAAG generators is itself a RAAG.
Feature Engineering Of Environmental Covariates Improves Plant Genomic-Enabled Prediction, Osval A. Montesinos-López, Leonardo Crespo-Herrera, Carolina Saint Pierre, Bernabe Cano-Paez, Gloria Isabel Huerta-Prado, Brandon Alejandro Mosqueda-González, Sofia Ramos-Pulido, Guillermo Gerard, Khalid Alnowibet, Roberto Fritsche-Neto, Abelardo Montesinos-López, José Crossa
Feature Engineering Of Environmental Covariates Improves Plant Genomic-Enabled Prediction, Osval A. Montesinos-López, Leonardo Crespo-Herrera, Carolina Saint Pierre, Bernabe Cano-Paez, Gloria Isabel Huerta-Prado, Brandon Alejandro Mosqueda-González, Sofia Ramos-Pulido, Guillermo Gerard, Khalid Alnowibet, Roberto Fritsche-Neto, Abelardo Montesinos-López, José Crossa
Faculty Publications
Introduction: Because Genomic selection (GS) is a predictive methodology, it needs to guarantee high-prediction accuracies for practical implementations. However, since many factors affect the prediction performance of this methodology, its practical implementation still needs to be improved in many breeding programs. For this reason, many strategies have been explored to improve the prediction performance of this methodology. Methods: When environmental covariates are incorporated as inputs in the genomic prediction models, this information only sometimes helps increase prediction performance. For this reason, this investigation explores the use of feature engineering on the environmental covariates to enhance the prediction performance of genomic …
Teaching Difficult Topics: Reflections From The Undergraduate Music Classroom, Olivia R. Lucas, Laura Moore Pruett
Teaching Difficult Topics: Reflections From The Undergraduate Music Classroom, Olivia R. Lucas, Laura Moore Pruett
Faculty Publications
Teaching Difficult Topics provides a series of on-the-ground reflections from college music instructors working in a wide variety of institutional settings about their approaches to inclusive, supportive pedagogy in the music classroom. Although some imagine the music classroom to be an apolitical space, instructors find themselves increasingly in need of resources for incorporating issues of race and ethnicity, gender and sexuality, and historical trauma into their classrooms in ways that support student learning and safeguard their classroom communities. The teaching reflections in Teaching Difficult Topics examine difficult themes that fall into three primary categories: subjects that instructors sense to be …
The Role Of Holistic Mentoring Ecosystems In Mitigating Covid-19 Pandemic Impacts On The Persistence Of Low-Income Stem Students, Raeshan D. Davis, Zakiya S. Wilson-Kennedy
The Role Of Holistic Mentoring Ecosystems In Mitigating Covid-19 Pandemic Impacts On The Persistence Of Low-Income Stem Students, Raeshan D. Davis, Zakiya S. Wilson-Kennedy
Faculty Publications
Holistic mentoring ecosystems are a comprehensive approach to addressing the diverse needs of students through interconnected support networks. While mentoring has been well-documented in existing literature, more research is needed to determine the effectiveness of mentoring ecosystems in mitigating the impact of critical junctures for vulnerable, high-attrition student populations. Guided by Tinto’s model of retention, this qualitative case study investigated the role of holistic mentoring ecosystems in mitigating the impacts of the two combined critical junctures—the COVID-19 pandemic and the first year of college—on low-income STEM undergraduates. Our findings suggest that holistic mentoring ecosystems were essential in helping students adjust …
Upper Bounds For The Lagrangian Cobordism Relation On Legendrian Links, Joshua M. Sabloff, David Shea Vela-Vick, C. M.Michael Wong
Upper Bounds For The Lagrangian Cobordism Relation On Legendrian Links, Joshua M. Sabloff, David Shea Vela-Vick, C. M.Michael Wong
Faculty Publications
Lagrangian cobordism induces a preorder on the set of Legendrian links in any contact 3–manifold. We show that any finite collection of null-homologous Legendrian links in a contact 3–manifold with a common rotation number has an upper bound with respect to the preorder. In particular, we construct an exact Lagrangian cobordism from each element of the collection to a common Legendrian link. This construction allows us to define a notion of minimal Lagrangian genus between any two null-homologous Legendrian links with a common rotation number.
Modelling And Simulation Of The Cholesteric Landau-De Gennes Model, Andrew L. Hicks, Shawn W. Walker
Modelling And Simulation Of The Cholesteric Landau-De Gennes Model, Andrew L. Hicks, Shawn W. Walker
Faculty Publications
This paper discusses modelling and numerical issues in the simulation of the Landau-de Gennes (LdG) model of nematic liquid crystals (LCs) with cholesteric effects. We propose a fully implicit, (weighted) L2 gradient flow for computing energy minimizers of the LdG model, and note a time-step restriction for the flow to be energy decreasing. Furthermore, we give a mesh size restriction, for finite-element discretizations, that is critical to avoid spurious numerical artifacts in discrete minimizers, particularly when simulating cholesteric LCs that exhibit 'twist.' Furthermore, we perform a computational exploration of the model and present several numerical simulations in three dimensions, on …
A Cogroupoid Associated To Preregular Forms, Hongdi Huang, Van C. Nguyen, Charlotte Ure, Kent B. Vashaw, Padmini Veerapen, Xingting Wang
A Cogroupoid Associated To Preregular Forms, Hongdi Huang, Van C. Nguyen, Charlotte Ure, Kent B. Vashaw, Padmini Veerapen, Xingting Wang
Faculty Publications
We construct a family of cogroupoids associated to preregular forms and recover the Morita–Takeuchi equivalence for Artin–Schelter regular algebras of dimension two, observed by Raedschelders and Van den Bergh. Moreover, we study the 2-cocycle twists of pivotal analogues of these cogroupoids, by developing a categorical description of preregularity in any tensor category that has a pivotal structure.
On The Maximum Spread Of Planar And Outerplanar Graphs, Zelong Li, William Linz, Linyuan Lu, Zhiyu Wang
On The Maximum Spread Of Planar And Outerplanar Graphs, Zelong Li, William Linz, Linyuan Lu, Zhiyu Wang
Faculty Publications
The spread of a graph G is the difference between the largest and smallest eigenvalue of the adjacency matrix of G. Gotshall, O’Brien and Tait conjectured that for sufficiently large n, the n-vertex outerplanar graph with maximum spread is the graph obtained by joining a vertex to a path on n − 1 vertices. In this paper, we disprove this conjecture by showing that the extremal graph is the graph obtained by joining a vertex to a path on ⌈(2n − 1)/3⌉ vertices and ⌊(n − 2)/3⌋ isolated vertices. For planar graphs, we show that the extremal n-vertex planar graph …
An Examination Of The Stability Of The Remembering Self When Measuring Social Connection Derived From A Shared Leisure Experience, Camilla Hodge, Karen K. Melton, Mat D. Duerden, Mark A. Widmer, Aubrey Rushton, Alexis Kelley
An Examination Of The Stability Of The Remembering Self When Measuring Social Connection Derived From A Shared Leisure Experience, Camilla Hodge, Karen K. Melton, Mat D. Duerden, Mark A. Widmer, Aubrey Rushton, Alexis Kelley
Faculty Publications
Social connection has been identified as a public health priority, and is often positioned, in various forms, as an outcome of leisure experiences. In cases of assessing the hedonic quality of experiences, research has identified a relative permanence and stability in the remembering self; however, whether the same is true when measuring social connection is unknown. Therefore, this study aimed to determine whether recall of social connection after a structured, shared leisure experience changed over time. We compared assessments of social connection among a sample of 68 adults immediately following four structured, shared leisure experiences and again four weeks later. …
Note On The Spectra Of Steiner Distance Hypermatrices, Joshua Cooper, Zhibin Du
Note On The Spectra Of Steiner Distance Hypermatrices, Joshua Cooper, Zhibin Du
Faculty Publications
The Steiner distance of a set of vertices in a graph is the fewest number of edges in any connected subgraph containing those vertices. The order-k Steiner distance hypermatrix of a graph is the n-dimensional array indexed by vertices, whose entries are the Steiner distances of their corresponding indices. In the case of k = 2, this reduces to the classical distance matrix of a graph. Graham and Pollak showed in 1971 that the determinant of the distance matrix of a tree only depends on its number n of vertices. Here, we show that the hyperdeterminant of the Steiner distance …
Negotiating Quotidian Justice In The Science Classroom, Christopher Irwin, Joshua Ellis
Negotiating Quotidian Justice In The Science Classroom, Christopher Irwin, Joshua Ellis
Faculty Publications
In this conceptual paper, we explore how science teachers might enact social justice through their everyday science instruction. Drawing on empirical literature and our own K-12 teaching experience, we develop a heuristic for mapping classroom discourses to engage in action and reflection to change both the world of the classroom community, and the world beyond the school. We suggest how this heuristic can be used for justice-oriented science teaching independently of (or as a supplement to) any existing frameworks for science teaching to promote social justice. Our proposed model for social justice through disciplinary science teaching frames justice not as …
Summer-Wet Hydrologic Cycle During The Middle Miocene Of The United States: New Evidence From Fossil Fungi, Jennifer M.K. O’Keefe, Matthew J. Pound, Ingrid C. Romero, Noelia B. Nuñez Otaño, Martha E. Gibson, Jessica Mccoy, Margaret E. Alden, C. Jolene Fairchild, Julia Fitzpatrick, Emily Hodgson, Taylor Horsfall, Savannah Jones, June E. Lennex-Stone, Christopher A. Marsh, Alyssa A. Patel, Tyler M. Spears, Laikin Tarlton, Liberty F. Smallwood, O. L. Vanderespt, Jeremyah R. Cabrera, Cortland F. Eble, William C. Rember, James E. Starnes, Mac H. Alford, Alyson Brink, Sophie Warny
Summer-Wet Hydrologic Cycle During The Middle Miocene Of The United States: New Evidence From Fossil Fungi, Jennifer M.K. O’Keefe, Matthew J. Pound, Ingrid C. Romero, Noelia B. Nuñez Otaño, Martha E. Gibson, Jessica Mccoy, Margaret E. Alden, C. Jolene Fairchild, Julia Fitzpatrick, Emily Hodgson, Taylor Horsfall, Savannah Jones, June E. Lennex-Stone, Christopher A. Marsh, Alyssa A. Patel, Tyler M. Spears, Laikin Tarlton, Liberty F. Smallwood, O. L. Vanderespt, Jeremyah R. Cabrera, Cortland F. Eble, William C. Rember, James E. Starnes, Mac H. Alford, Alyson Brink, Sophie Warny
Faculty Publications
Hydrologic reconstructions from North America are largely unknown for the Middle Miocene. Examination of fungal palynomorph assemblages coupled with traditional plant-based palynology permits delineation of local, as opposed to regional, climate signals and provides a baseline for study of ancient fungas. Here, the Fungi in a Warmer World project presents paleoecology and paleoclimatology of 351 fungal morphotypes from 3 sites in the United States: the Clarkia Konservat-Lagerstätte site (Idaho), the Alum Bluff site (Florida), and the Bouie River site (Mississippi). Of these, 83 fungi are identified as extant taxa and 41 are newly reported from the Miocene. Combining new plant-based …
Evidence Of A Thick Heliopause Boundary Layer Resulting From Active Magnetic Reconnection With The Interstellar Medium, Drew L. Turner, Adam Michael, Elena Provornikova, Marc Kornbleuth, Merav Opher, Stefan Eriksson, Benoit Lavraud, Parisa Mostafavi, Matthew E. Hill, Pontus Brandt, Ian J. Cohen, Joseph Westlake, John D. Richardson, Nathan A. Schwadron, David J. Mccomas
Evidence Of A Thick Heliopause Boundary Layer Resulting From Active Magnetic Reconnection With The Interstellar Medium, Drew L. Turner, Adam Michael, Elena Provornikova, Marc Kornbleuth, Merav Opher, Stefan Eriksson, Benoit Lavraud, Parisa Mostafavi, Matthew E. Hill, Pontus Brandt, Ian J. Cohen, Joseph Westlake, John D. Richardson, Nathan A. Schwadron, David J. Mccomas
Faculty Publications
Voyager 1 and 2 data from the vicinity of the heliopause and very local interstellar medium are reexamined to better understand the confounding lack of rotation in the magnetic field (B-field) across the heliopause observed by both Voyagers, despite their very large spatial separations (>100 au). Using three estimates for the orientation of the B-field in the pristine interstellar medium and four models of the heliosphere, we calculate draped interstellar B-field orientations along the model heliopauses and compare those estimates to the Voyager observations. At both Voyagers, expected draped B-fields are inconsistent with the observed B-field orientations after the boundary …