Matching Items (17)
Filtering by
- All Subjects: Biology
- All Subjects: Science--Study and teaching
- Creators: Kuang, Yang
Description
‘Describing at Large Their True and Lively Figure, their several Names, Conditions, Kinds, Virtues (both Natural and Fanciful), Countries of their Species, their Love and Hatred to Humankind, and the wonderful work of Natural Selection in their Evolution, Preservation, and Destruction.
Interwoven with curious variety of Creative Narrations out of Academic Literatures, Scholars, Artists, Scientists, and Poets. Illustrated with diverse Graphics and Emblems both pleasant and profitable for Students of all Faculties and Professions.’
ContributorsHinde, Katie (Author) / Amorim, Carlos Eduardo G (Author) / Anderson, Chris (Author) / Beasley, Melanie (Author) / Brokaw, Alyson F (Author) / Brubaker-Wittman, Laura (Author) / Brunstrum, Jeff (Author) / Burt, Nicole M (Author) / Casillas, Mary C (Author) / Chen, Albert (Author) / Chestnut, Tara (Author) / Coffman, Robin (Author) / Connors, Patrice K. (Author) / Dasari, Mauna (Author) / Dietrick, Jeanne (Author) / Ditelberg, Connor Fox (Author) / Drew, Josh (Author) / Durgavich, Lara (Author) / Easterling, Brian (Author) / Faust, Kaitlyn (Author) / Gabrys, Jennifer (Author) / Haridy, Yara (Author) / Hecht, Ian (Author) / Henning, Charon (Author) / Hilborn, Anne W. (Author) / Janz, Margaret (Author) / Josefson, Chloe (Author) / Karlsson, Elinor K (Author) / Kauffman, Laurie (Author) / Kissel, Jenna (Author) / Kissel, Marc (Author) / Kobylecky, Jennifer (Author) / Krell, Jason (Author) / Lee, Danielle N. (Author) / Lesciotto, Kate M (Author) / Lewton, Kristi L (Author) / Light, Jessica (Author) / Martin, Jessica Leigh, 1991- (Author) / Moore, Rick (Author) / Murphy, Asia (Author) / Murphy, Kaitlyn (Author) / Nickley, William (Author) / Nuñez-de la Mora, Alejandra (Author) / Pellicer, Olivia (Author) / Pellicer, Valeria (Author) / Perry, Anali Maughan (Author) / Popescu, Jessica (Author) / Rocha, Emily (Author) / Rubio-Godoy, Miguel (Author) / Rudzis, Cyn (Author) / Sarma, Mallika (Author) / Schuttler, Stephanie (Author) / Sinnott, Madeline (Author) / Stone, Anne C. (Author) / Tanis, Brian (Author) / Thacher, Abbie (Author) / Upham, Nathan (Author) / Varner, Jo (Author) / Villanea, Fernando (Author) / Weber, Jesse (Author) / Wilson, Melissa A. (Author) / Willcocks, Emma (Author)
Created2023-11-06
Description
‘Describing at Large Their True and Lively Figure, their several Names, Conditions, Kinds, Virtues (both Natural and Fanciful), Countries of their Species, their Love and Hatred to Humankind, and the wonderful work of Natural Selection in their Evolution, Preservation, and Destruction.
Interwoven with curious variety of Creative Narrations out of Academic Literatures, Scholars, Artists, Scientists, and Poets. Illustrated with diverse Graphics and Emblems both pleasant and profitable for Students of all Faculties and Professions.’
ContributorsHinde, Katie (Author) / Amorim, Carlos Eduardo G (Author) / Anderson, Chris (Author) / Beasley, Melanie (Author) / Brokaw, Alyson F (Author) / Brubaker-Wittman, Laura (Author) / Brunstrum, Jeff (Author) / Burt, Nicole M (Author) / Casillas, Mary C (Author) / Chen, Albert (Author) / Chestnut, Tara (Author) / Coffman, Robin (Author) / Connors, Patrice K. (Author) / Dasari, Mauna (Author) / Dietrick, Jeanne (Author) / Ditelberg, Connor Fox (Author) / Drew, Josh (Author) / Durgavich, Lara (Author) / Easterling, Brian (Author) / Faust, Kaitlyn (Author) / Gabrys, Jennifer (Author) / Haridy, Yara (Author) / Hecht, Ian (Author) / Henning, Charon (Author) / Hilborn, Anne W. (Author) / Janz, Margaret (Author) / Karlsson, Elinor K (Author) / Kissel, Jenna (Author) / Kissel, Marc (Author) / Kobylecky, Jennifer (Author) / Krell, Jason (Author) / Lee, Danielle N. (Author) / Lesciotto, Kate M (Author) / Lewton, Kristi L (Author) / Light, Jessica (Author) / Martin, Jessica Leigh, 1991- (Author) / Moore, Rick (Author) / Murphy, Asia (Author) / Nickley, William (Author) / Nuñez-de la Mora, Alejandra (Author) / Pellicer, Olivia (Author) / Pellicer, Valeria (Author) / Perry, Anali Maughan (Author) / Rudzis, Cyn (Author) / Schuttler, Stephanie (Author) / Sinnott, Madeline (Author) / Stone, Anne C (Author) / Tanis, Brian (Author) / Upham, Nathan (Author) / Villanea, Fernando (Author) / Weber, Jesse (Author) / Wilson, Melissa A. (Author) / Willcocks, Emma (Author)
Created2023-02-01
Description
The representation of a patient’s characteristics as the parameters of a model is a key component in many studies of personalized medicine, where the underlying mathematical models are used to describe, explain, and forecast the course of treatment. In this context, clinical observations form the bridge between the mathematical frameworks and applications. However, the formulation and theoretical studies of the models and the clinical studies are often not completely compatible, which is one of the main obstacles in the application of mathematical models in practice. The goal of my study is to extend a mathematical framework to model prostate cancer based mainly on the concept of cell-quota within an evolutionary framework and to study the relevant aspects for the model to gain useful insights in practice. Specifically, the first aim is to construct a mathematical model that can explain and predict the observed clinical data under various treatment combinations. The second aim is to find a fundamental model structure that can capture the dynamics of cancer progression within a realistic set of data. Finally, relevant clinical aspects such as how the patient's parameters change over the course of treatment and how to incorporate treatment optimization within a framework of uncertainty quantification, will be examined to construct a useful framework in practice.
ContributorsPhan, Tin (Author) / Kuang, Yang (Thesis advisor) / Kostelich, Eric J (Committee member) / Crook, Sharon (Committee member) / Maley, Carlo (Committee member) / Bryce, Alan (Committee member) / Arizona State University (Publisher)
Created2021
Description
March Mammal Madness is a science outreach project that, over the course of several weeks in March, reaches hundreds of thousands of people in the United States every year. We combine four approaches to science outreach – gamification, social media platforms, community event(s), and creative products – to run a simulated tournament in which 64 animals compete to become the tournament champion. While the encounters between the animals are hypothetical, the outcomes rely on empirical evidence from the scientific literature. Players select their favored combatants beforehand, and during the tournament scientists translate the academic literature into gripping “play-by-play” narration on social media. To date ~1100 scholarly works, covering almost 400 taxa, have been transformed into science stories. March Mammal Madness is most typically used by high-school educators teaching life sciences, and we estimate that our materials reached ~1% of high-school students in the United States in 2019. Here we document the intentional design, public engagement, and magnitude of reach of the project. We further explain how human psychological and cognitive adaptations for shared experiences, social learning, narrative, and imagery contribute to the widespread use of March Mammal Madness.
ContributorsHinde, Katie (Author) / Amorim, Carlos Eduardo G (Author) / Brokaw, Alyson F (Author) / Burt, Nicole M (Author) / Casillas, Mary C (Author) / Chen, Albert (Author) / Chestnut, Tara (Author) / Connors, Patrice K. (Author) / Dasari, Mauna (Author) / Ditelberg, Connor Fox (Author) / Dietrick, Jeanne (Author) / Drew, Josh (Author) / Durgavich, Lara (Author) / Easterling, Brian (Author) / Henning, Charon (Author) / Hilborn, Anne W. (Author) / Karlsson, Elinor K (Author) / Kissel, Marc (Author) / Kobylecky, Jennifer (Author) / Krell, Jason (Author) / Lee, Danielle N. (Author) / Lesciotto, Kate M (Author) / Lewton, Kristi L (Author) / Light, Jessica (Author) / Martin, Jessica Leigh, 1991- (Author) / Murphy, Asia (Author) / Nickley, William (Author) / Nuñez-de la Mora, Alejandra (Author) / Pellicer, Olivia (Author) / Pellicer, Valeria (Author) / Perry, Anali Maughan (Author) / Schuttler, Stephanie (Author) / Stone, Anne C (Author) / Tanis, Brian (Author) / Weber, Jesse (Author) / Wilson, Melissa A. (Author) / Willcocks, Emma (Author) / Anderson, Chris (Author)
Created2021-02-22
Description
This packet includes:
2021 Bracket Common Name
2021 Bracket Latin Binomial
Bracket FAQ (English)
Pre-Tournament Research Lesson Plan (English)
Tournament Lesson Plan & Worksheets (English)
Visual Arts Lesson Plan (English)
Language Arts Lesson Plan (English)
Guide for Youngest Players (English)
JUMBO Bracket for Youngest Players (English)
2021 Bracket Common Name (Spanish)
Pre-Tournament Research Lesson Plan (Spanish)
Tournament Lesson Plan & Worksheets (Spanish)
Visual Arts Lesson Plan (Spanish)
Language Arts Lesson Plan (Spanish)
JUMBO Bracket for Youngest Players (Spanish)
ContributorsHinde, Katie (Author) / Schuttler, Stephanie (Author) / Henning, Charon (Illustrator) / Nuñez-de la Mora, Alejandra (Translator) / Kissel, Jenna (Author) / Nickley, William (Artist)
Created2021-02
Description
This packet includes:
2020 Bracket Common Name
2020 Bracket Latin Binomial
Pre-Tournament Research Lesson Plan (English)
Tournament Lesson Plan & Worksheets (English)
Visual Arts Lesson Plan (English)
Language Arts Lesson Plan (English)
2020 Bracket Common Name (Spanish)
Pre-Tournament Research Lesson Plan (Spanish)
Tournament Lesson Plan & Worksheets (Spanish)
ContributorsHinde, Katie (Author) / Schuttler, Stephanie (Author) / Henning, Charon (Illustrator) / Nuñez-de la Mora, Alejandra (Translator)
Created2020
Description
Recovering high-quality DNA from thermally altered human remains poses a significant challenge for research and law enforcement agencies due to high levels of DNA degradation resulting from exposure to extremely high temperatures (e.g., fire). The current standard practice for the DNA identification of badly burned skeletal remains is to extract DNA from dense cortical bone collected from recovered skeletal elements. Some of the problems associated with this method are that it requires specialized equipment and training, is highly invasive (involving the physical destruction of sample material), time-consuming, and does not reliably guarantee the successful identification of the remains in question. At low-medium levels of thermal exposure, charred tissue is often adhered to these skeletal remains and typically discarded. In cases where burned/charred tissue is recoverable, it has the potential to be a more efficient alternative to the sampling of cortical bone. However, little has been done to test the viability of thermally altered soft tissue in terms of DNA identification to date. Burned/charred tissue was collected from skeletal samples provided by the University of Tennessee Forensic Anthropology Center, as a part of a controlled burn from donor individuals, for downstream laboratory processing and DNA analysis as part of the Stone Lab (Arizona State University, School of Human Evolution and Social Change). DNA from this charred tissue was extracted using the Qiagen DNeasy Blood and Tissue Kit, and resulting yields were quantified via fluorometry using the Qubit Fluorometer 2.0 and Agilent TapeStation 4200 High-Sensitivity D5000 assay. It was found that between the temperatures of ~200-300 ℃ (burn category 2) and ~300-350 ℃ (burn category 3), tissue was the most efficient extraction type, especially from tissue taken from the surface of the ilium and the rib. As for bone, both the Dabney and the Loreille protocol performed similarly, so choice in extraction type comes down to personal preference, type of equipment on hand, and training. Although, for samples with low input material, the Dabney protocol is optimal.
ContributorsCoffman, Amber (Author) / Stone, Anne C (Thesis advisor) / Parker, Cody (Committee member) / Kanthaswamy, Sreetharan (Committee member) / Arizona State University (Publisher)
Created2023
Description
The most advanced social insects, the eusocial insects, form often large societies in which there is reproductive division of labor, queens and workers, have overlapping generations, and cooperative brood care where daughter workers remain in the nest with their queen mother and care for their siblings. The eusocial insects are composed of representative species of bees and wasps, and all species of ants and termites. Much is known about their organizational structure, but remains to be discovered.
The success of social insects is dependent upon cooperative behavior and adaptive strategies shaped by natural selection that respond to internal or external conditions. The objective of my research was to investigate specific mechanisms that have helped shaped the structure of division of labor observed in social insect colonies, including age polyethism and nutrition, and phenomena known to increase colony survival such as egg cannibalism. I developed various Ordinary Differential Equation (ODE) models in which I applied dynamical, bifurcation, and sensitivity analysis to carefully study and visualize biological outcomes in social organisms to answer questions regarding the conditions under which a colony can survive. First, I investigated how the population and evolutionary dynamics of egg cannibalism and division of labor can promote colony survival. I then introduced a model of social conflict behavior to study the inclusion of different response functions that explore the benefits of cannibalistic behavior and how it contributes to age polyethism, the change in behavior of workers as they age, and its biological relevance. Finally, I introduced a model to investigate the importance of pollen nutritional status in a honeybee colony, how it affects population growth and influences division of labor within the worker caste. My results first reveal that both cannibalism and division of labor are adaptive strategies that increase the size of the worker population, and therefore, the persistence of the colony. I show the importance of food collection, consumption, and processing rates to promote good colony nutrition leading to the coexistence of brood and adult workers. Lastly, I show how taking into account seasonality for pollen collection improves the prediction of long term consequences.
The success of social insects is dependent upon cooperative behavior and adaptive strategies shaped by natural selection that respond to internal or external conditions. The objective of my research was to investigate specific mechanisms that have helped shaped the structure of division of labor observed in social insect colonies, including age polyethism and nutrition, and phenomena known to increase colony survival such as egg cannibalism. I developed various Ordinary Differential Equation (ODE) models in which I applied dynamical, bifurcation, and sensitivity analysis to carefully study and visualize biological outcomes in social organisms to answer questions regarding the conditions under which a colony can survive. First, I investigated how the population and evolutionary dynamics of egg cannibalism and division of labor can promote colony survival. I then introduced a model of social conflict behavior to study the inclusion of different response functions that explore the benefits of cannibalistic behavior and how it contributes to age polyethism, the change in behavior of workers as they age, and its biological relevance. Finally, I introduced a model to investigate the importance of pollen nutritional status in a honeybee colony, how it affects population growth and influences division of labor within the worker caste. My results first reveal that both cannibalism and division of labor are adaptive strategies that increase the size of the worker population, and therefore, the persistence of the colony. I show the importance of food collection, consumption, and processing rates to promote good colony nutrition leading to the coexistence of brood and adult workers. Lastly, I show how taking into account seasonality for pollen collection improves the prediction of long term consequences.
ContributorsRodríguez Messan, Marisabel (Author) / Kang, Yun (Thesis advisor) / Castillo-Chavez, Carlos (Thesis advisor) / Kuang, Yang (Committee member) / Page Jr., Robert E (Committee member) / Gardner, Carl (Committee member) / Arizona State University (Publisher)
Created2018
Description
There has been important progress in understanding ecological dynamics through the development of the theory of ecological stoichiometry. This fast growing theory provides new constraints and mechanisms that can be formulated into mathematical models. Stoichiometric models incorporate the effects of both food quantity and food quality into a single framework that produce rich dynamics. While the effects of nutrient deficiency on consumer growth are well understood, recent discoveries in ecological stoichiometry suggest that consumer dynamics are not only affected by insufficient food nutrient content (low phosphorus (P): carbon (C) ratio) but also by excess food nutrient content (high P:C). This phenomenon, known as the stoichiometric knife edge, in which animal growth is reduced not only by food with low P content but also by food with high P content, needs to be incorporated into mathematical models. Here we present Lotka-Volterra type models to investigate the growth response of Daphnia to algae of varying P:C ratios. Using a nonsmooth system of two ordinary differential equations (ODEs), we formulate the first model to incorporate the phenomenon of the stoichiometric knife edge. We then extend this stoichiometric model by mechanistically deriving and tracking free P in the environment. This resulting full knife edge model is a nonsmooth system of three ODEs. Bifurcation analysis and numerical simulations of the full model, that explicitly tracks phosphorus, leads to quantitatively different predictions than previous models that neglect to track free nutrients. The full model shows that the grazer population is sensitive to excess nutrient concentrations as a dynamical free nutrient pool induces extreme grazer population density changes. These modeling efforts provide insight on the effects of excess nutrient content on grazer dynamics and deepen our understanding of the effects of stoichiometry on the mechanisms governing population dynamics and the interactions between trophic levels.
ContributorsPeace, Angela (Author) / Kuang, Yang (Thesis advisor) / Elser, James J (Committee member) / Baer, Steven (Committee member) / Tang, Wenbo (Committee member) / Kang, Yun (Committee member) / Arizona State University (Publisher)
Created2014
Description
In 1968, phycologist M.R. Droop published his famous discovery on the functional relationship between growth rate and internal nutrient status of algae in chemostat culture. The simple notion that growth is directly dependent on intracellular nutrient concentration is useful for understanding the dynamics in many ecological systems. The cell quota in particular lends itself to ecological stoichiometry, which is a powerful framework for mathematical ecology. Three models are developed based on the cell quota principal in order to demonstrate its applications beyond chemostat culture.
First, a data-driven model is derived for neutral lipid synthesis in green microalgae with respect to nitrogen limitation. This model synthesizes several established frameworks in phycology and ecological stoichiometry. The model demonstrates how the cell quota is a useful abstraction for understanding the metabolic shift to neutral lipid production that is observed in certain oleaginous species.
Next a producer-grazer model is developed based on the cell quota model and nutrient recycling. The model incorporates a novel feedback loop to account for animal toxicity due to accumulation of nitrogen waste. The model exhibits rich, complex dynamics which leave several open mathematical questions.
Lastly, disease dynamics in vivo are in many ways analogous to those of an ecosystem, giving natural extensions of the cell quota concept to disease modeling. Prostate cancer can be modeled within this framework, with androgen the limiting nutrient and the prostate and cancer cells as competing species. Here the cell quota model provides a useful abstraction for the dependence of cellular proliferation and apoptosis on androgen and the androgen receptor. Androgen ablation therapy is often used for patients in biochemical recurrence or late-stage disease progression and is in general initially effective. However, for many patients the cancer eventually develops resistance months to years after treatment begins. Understanding how and predicting when hormone therapy facilitates evolution of resistant phenotypes has immediate implications for treatment. Cell quota models for prostate cancer can be useful tools for this purpose and motivate applications to other diseases.
First, a data-driven model is derived for neutral lipid synthesis in green microalgae with respect to nitrogen limitation. This model synthesizes several established frameworks in phycology and ecological stoichiometry. The model demonstrates how the cell quota is a useful abstraction for understanding the metabolic shift to neutral lipid production that is observed in certain oleaginous species.
Next a producer-grazer model is developed based on the cell quota model and nutrient recycling. The model incorporates a novel feedback loop to account for animal toxicity due to accumulation of nitrogen waste. The model exhibits rich, complex dynamics which leave several open mathematical questions.
Lastly, disease dynamics in vivo are in many ways analogous to those of an ecosystem, giving natural extensions of the cell quota concept to disease modeling. Prostate cancer can be modeled within this framework, with androgen the limiting nutrient and the prostate and cancer cells as competing species. Here the cell quota model provides a useful abstraction for the dependence of cellular proliferation and apoptosis on androgen and the androgen receptor. Androgen ablation therapy is often used for patients in biochemical recurrence or late-stage disease progression and is in general initially effective. However, for many patients the cancer eventually develops resistance months to years after treatment begins. Understanding how and predicting when hormone therapy facilitates evolution of resistant phenotypes has immediate implications for treatment. Cell quota models for prostate cancer can be useful tools for this purpose and motivate applications to other diseases.
ContributorsPacker, Aaron (Author) / Kuang, Yang (Thesis advisor) / Nagy, John (Committee member) / Smith, Hal (Committee member) / Kostelich, Eric (Committee member) / Kang, Yun (Committee member) / Arizona State University (Publisher)
Created2014