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Articles 3061 - 3090 of 27196
Full-Text Articles in Entire DC Network
Msis-Capaldi: Towards A Theory Of Host Recovery Dynamics Following Disease-Induced Declines: An Epi-Eco-Evo Perspective, Sabrina Streipert
Msis-Capaldi: Towards A Theory Of Host Recovery Dynamics Following Disease-Induced Declines: An Epi-Eco-Evo Perspective, Sabrina Streipert
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Integrating Spatial-Temporal Dynamics And Graph Embedding In Pde-Based Models For Predicting Covid-19 Spread, Nao Yamamoto
Integrating Spatial-Temporal Dynamics And Graph Embedding In Pde-Based Models For Predicting Covid-19 Spread, Nao Yamamoto
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Scicomm To The Rescue, Becky Sanft, Angel Kaur, Evan Couzo, Sally Wasileski, Jessica Pisano
Scicomm To The Rescue, Becky Sanft, Angel Kaur, Evan Couzo, Sally Wasileski, Jessica Pisano
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
From Formulas To Futures: Mathematical Insights Into Endosomal Escape, Fnu Nisha
From Formulas To Futures: Mathematical Insights Into Endosomal Escape, Fnu Nisha
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Human Behavior And Viral Evolution Of Emerging Infections, Asma Azizi
Human Behavior And Viral Evolution Of Emerging Infections, Asma Azizi
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Exploring Disease Spread Patterns In A Heterogeneous Environment: The Impact Of Travel Restrictions, Seoyun Choe
Exploring Disease Spread Patterns In A Heterogeneous Environment: The Impact Of Travel Restrictions, Seoyun Choe
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Modeling-Forward Initiatives In Differential Equations, Laura Ellwein
Modeling-Forward Initiatives In Differential Equations, Laura Ellwein
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Msis-Capaldi: Modelling The Winter Tick Epizootic In Moose, Charlotte Beckford
Msis-Capaldi: Modelling The Winter Tick Epizootic In Moose, Charlotte Beckford
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
A Behavioral Epidemic Model: A Simulation And Empirical Analysis, Ann Osi, Navid Ghaffarzadegan
A Behavioral Epidemic Model: A Simulation And Empirical Analysis, Ann Osi, Navid Ghaffarzadegan
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Using A Coupled Integral Projection Model To Investigate Interspecific Competition During An Invasion: An Application To Silver Carp (Hypophthalmichthys Molitrix) And Gizzard Shad (Dorosoma Cepedianum), James Peirce
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Critical Transitions In Mental Health: Van Gogh Case Study, Anna Singley
Critical Transitions In Mental Health: Van Gogh Case Study, Anna Singley
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Bayesian Adaptive Smoothing For Activation Detection In Fmri, Juan Florez
Bayesian Adaptive Smoothing For Activation Detection In Fmri, Juan Florez
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Distinguishing Community Assembly Through Functional Redundancy Models., Sandra A. Tsiorintsoa, Sharon Bewick, Matthew Macauley
Distinguishing Community Assembly Through Functional Redundancy Models., Sandra A. Tsiorintsoa, Sharon Bewick, Matthew Macauley
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Modeling, Analysis, And Simulation Of High School Student Mental Health Using Compartmental Models And Physics Informed Neural Networks, Sashwat Ravishankar, Padmanabhan Seshaiyer
Modeling, Analysis, And Simulation Of High School Student Mental Health Using Compartmental Models And Physics Informed Neural Networks, Sashwat Ravishankar, Padmanabhan Seshaiyer
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Contributions Of Tunneling In 8Π-6Π Electrocyclic Cascade Reactions Of Bicyclo[4.2.0]Octa-2,4-Diene Moieties, Ishika Jain, Claire Castro, William L. Karney
Contributions Of Tunneling In 8Π-6Π Electrocyclic Cascade Reactions Of Bicyclo[4.2.0]Octa-2,4-Diene Moieties, Ishika Jain, Claire Castro, William L. Karney
Featured Student Work
Six-electron electrocyclic reactions usually require relatively high temperatures; however recent research has shown that such reactions can occur at significantly lower temperatures in biosynthetic and biomimetic pathways. Pathways resulting in bicyclo[4.2.0]octa-2,4-diene moieties arise from thermally allowed 8π-6π electrocyclization cascade reactions of 1,3,5,7-octatetraenes, as in the biosynthesis of endiandric acids, elysiapyrones, and numerous other natural products. We report multidimensional tunneling calculations to explore the possible contribution of heavy-atom tunneling (e.g. by carbon) to biosynthetic pathways and biomimetic syntheses, and thus to provide a more complete picture of biochemical kinetics. M06-2X/cc-pVDZ calculations on the 8π-6π cascade cyclizations of methylated octatetraene model systems …
Analysis Of Cd74 Occurrence In Oncogenic Fusion Proteins, Jasmine Vargas, Georgios Pantouris
Analysis Of Cd74 Occurrence In Oncogenic Fusion Proteins, Jasmine Vargas, Georgios Pantouris
Pacific Faculty Work
CD74 is a type II cell surface receptor found to be highly expressed in several hematological and solid cancers, due to its ability to activate pathways associated with tumor cell survival and proliferation. Over the past 16 years, CD74 has emerged as a commonly detected fusion partner in multiple oncogenic fusion proteins. Studies have found CD74 fusion proteins in a range of cancers, including lung adenocarcinoma, inflammatory breast cancer, and pediatric acute lymphoblastic leukemia. To date, there are five known CD74 fusion proteins, CD74-ROS1, CD74-NTRK1, CD74-NRG1, CD74-NRG2α, and CD74-PDGFRB, with a total of 16 different variants, each with unique genetic …
Using Social Network Analysis To Measure And Visualize Student Clustering Within Middle And High Schools, Geoffrey David West
Using Social Network Analysis To Measure And Visualize Student Clustering Within Middle And High Schools, Geoffrey David West
USF Tampa Graduate Theses and Dissertations
The dominant philosophy of American public schools has been to group students together based on similar characteristics. Known as tracking, high achieving students would take courses on the “college track” while others would take “career track” courses. It was not long until advocates noticed that this process unfairly advantaged affluent and White student over poor and minoritized groups. A new process called “ability grouping” took over where tracking left off, but to the same effect. It is difficult to measure the degree students are grouped together by a certain characteristic, and while a few research papers aim to do so, …
Polyrhythmic Modelling Of Non-Isochronous And Microtiming Patterns, G Sioros
Polyrhythmic Modelling Of Non-Isochronous And Microtiming Patterns, G Sioros
School of Art, Design and Architecture
Computational models and analyses of musical rhythms are predominantly based on the subdivision of durations down to a common isochronous pulse, which plays a fundamental structural role in the organization of their durational patterns. Meter, the most widespread example of such a temporal scheme, consists of several hierarchically organized pulses. Deviations from isochrony found in musical patterns are considered to form an expressive, micro level of organization that is distinct from the structural macro-organization of the basic pulse. However, polyrhythmic structures, such as those found in music from West Africa or the African diaspora, challenge both the hierarchical subdivision of …
Machine Learning Methods For Endocrine Disrupting Potential Identification Based On Single-Cell Data, Hari S Ganesh, Fabio Stossi, Lan Zhou, Michael A Mancini, Efstratios N Pistikopoulos, Burcu Beykal
Machine Learning Methods For Endocrine Disrupting Potential Identification Based On Single-Cell Data, Hari S Ganesh, Fabio Stossi, Lan Zhou, Michael A Mancini, Efstratios N Pistikopoulos, Burcu Beykal
Faculty, Staff and Students Publications
Humans are continuously exposed to a variety of toxicants and chemicals which is exacerbated during and after environmental catastrophes such as floods, earthquakes, and hurricanes. The hazardous chemical mixtures generated during these events threaten the health and safety of humans and other living organisms. This necessitates the development of rapid decision-making tools to facilitate mitigating the adverse effects of exposure on the key modulators of the endocrine system, such as the estrogen receptor alpha (ERα), for example. The mechanistic stages of the estrogenic transcriptional activity can be measured with high content/high throughput microscopy-based biosensor assays at the single-cell level, which …
Identification Of Selected Persistent Organic Pollutants In Agricultural Land By Carbon Nitride (C3n5) Based Nano Sensors, Puspamitra Panigrahi, P. S. Anuroop, Hoonkyung Lee, Hyeonhu Bae, Thanayut Kaewmaraya, Ravindra Pandey, Tanveer Hussain, Akshaya Panigrahi
Identification Of Selected Persistent Organic Pollutants In Agricultural Land By Carbon Nitride (C3n5) Based Nano Sensors, Puspamitra Panigrahi, P. S. Anuroop, Hoonkyung Lee, Hyeonhu Bae, Thanayut Kaewmaraya, Ravindra Pandey, Tanveer Hussain, Akshaya Panigrahi
Michigan Tech Publications
Efficient detection of selected persistent organic pollutants (POPs) is extremely important for the safety of humans and for the moderation of agriculture. This calls for the design of versatile nanosensors capable of sensing toxic POPs with high sensitivity and selectivity. Inspired by this, the sensing characteristics of carbon nitride (C3N5) monolayers toward selected POPs are reported, such as Dichlorodiphenyltrichloroethane (DDT), Methoxychlor (DMDT), Fenthion (FT), Fenitrothion (FNT), and Rennol (RL), employing density functional theory calculations. Analysis of results predicts adsorption energies of −0.93, −1.55, −1.44, −0.98, and −1.15 eV for DDT, DMDT, FT, FNT, and RM, respectively, on C3N5 monolayers. Significant …
Thoracoabdominal Asynchrony In A Virtual Preterm Infant: Computational Modeling And Analysis, Richard R. Foster, Bradford Smith, Laura Ellwein Fix
Thoracoabdominal Asynchrony In A Virtual Preterm Infant: Computational Modeling And Analysis, Richard R. Foster, Bradford Smith, Laura Ellwein Fix
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Nutrient Driven Dynamics Of Ecosystem Diseases, Rebecca Everett
Nutrient Driven Dynamics Of Ecosystem Diseases, Rebecca Everett
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Msis-Kondrashov: Teaching Computer Programming To Mathematics Students, Glenn Ledder
Msis-Kondrashov: Teaching Computer Programming To Mathematics Students, Glenn Ledder
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
A Game-Theoretic Analysis Of Covid-19 Dynamics With Self-Isolation And Vaccination Behavior In Heterogeneous Populations, Igor V. Erovenko
A Game-Theoretic Analysis Of Covid-19 Dynamics With Self-Isolation And Vaccination Behavior In Heterogeneous Populations, Igor V. Erovenko
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Predicting Dengue Incidence In Central Argentina Using Google Trends Data, Sahil Chindal
Predicting Dengue Incidence In Central Argentina Using Google Trends Data, Sahil Chindal
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Modeling Multiphage-Bacteria Kinetics To Predict Phage Therapy Outcomes, Rebecca Segal, Zhiyuan Yu, Tiffany Luong, Selenne Banuelos, Andrew Sue, Mary Ann Horn, Hwayeon Ryu, Qimin Huang, Dwayne Roach
Modeling Multiphage-Bacteria Kinetics To Predict Phage Therapy Outcomes, Rebecca Segal, Zhiyuan Yu, Tiffany Luong, Selenne Banuelos, Andrew Sue, Mary Ann Horn, Hwayeon Ryu, Qimin Huang, Dwayne Roach
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
The Effect Of Disturbances On Biodiversity In A Forest, David Chan, Benjamin S. Ramage
The Effect Of Disturbances On Biodiversity In A Forest, David Chan, Benjamin S. Ramage
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Impacts On Malaria Transmission Of Altered Biogenic Amine Levels In {\It Anopheles} Mosquitoes: Insights From A Mathematical Model, Michael Robert
Impacts On Malaria Transmission Of Altered Biogenic Amine Levels In {\It Anopheles} Mosquitoes: Insights From A Mathematical Model, Michael Robert
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Msis Kondrashov: Redesigning Calculus 1, And The Unexpected Benefits Of Collaboration, Sarah C. Bannen, Valerie A. Maciejewski
Msis Kondrashov: Redesigning Calculus 1, And The Unexpected Benefits Of Collaboration, Sarah C. Bannen, Valerie A. Maciejewski
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
The Luria-Delbruck Experiment Turns 80. Its Legacy Is Powerful., Raina Robeva
The Luria-Delbruck Experiment Turns 80. Its Legacy Is Powerful., Raina Robeva
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.