Physical Sciences and Mathematics Commons^™

The Impact Of Local Anthropogenic Activities On Soil Health Within A Retired Farm: Implications For Urban Gardens, Abigail Cook '22, W. Roberts, E. Prince, K. Brown Phd

Annual Student Research Poster Session

Americans are implementing private food gardening for food access and affordability. A report by the National Gardening Association (2020) reveals a notable increase in food gardening in the past decade among urban households, especially millennial households. These national trends reflect an increasing interest in healthy living, sustainable gardening practices, and mitigating food insecurity within communities. Nonetheless, little is being done to assess soil health, especially for soils utilized for private and community gardens. Soil contamination can harm the health of those who use contaminated soils for food gardening. Thus, this study investigates soil health within a retired farm that is …

Electricity Market Operations With Massive Renewable Integration: New Designs, Shengfei Yin

Electrical Engineering Theses and Dissertations

Electricity market has been transitioning from a conventional and deterministic operation to a stochastic operation under the increasing penetration of renewable energy. Industry-level solutions toward the future electricity market operation ask for both accuracy and efficiency while maintaining model interpretability. Hence, reliable stochastic optimization techniques come to the first place for such a complex and dynamic problem.

This work starts at proposing a solution strategy for the uncertainty-based power system planning problem, which acts as a preliminary and instructs the electricity market operation. Considering 100% renewable penetration in the future, it analyzes the cost-effectiveness of renewable energy from a long-term …

Awegnn: Auto-Parametrized Weighted Element-Specific Graph Neural Networks For Molecules., Timothy Szocinski, Duc Duy Nguyen, Guo-Wei Wei

Mathematics Faculty Publications

While automated feature extraction has had tremendous success in many deep learning algorithms for image analysis and natural language processing, it does not work well for data involving complex internal structures, such as molecules. Data representations via advanced mathematics, including algebraic topology, differential geometry, and graph theory, have demonstrated superiority in a variety of biomolecular applications, however, their performance is often dependent on manual parametrization. This work introduces the auto-parametrized weighted element-specific graph neural network, dubbed AweGNN, to overcome the obstacle of this tedious parametrization process while also being a suitable technique for automated feature extraction on these internally complex …

Local And 2-Local Derivations On Octonion Algebras, Allayar Allambergenov

Karakalpak Scientific Journal

The present paper is devoted to study of local and 2-local derivations on octonion algebras. We shall give a general form of local derivations on the real octonion algebra \[{\mathbb{O}_\mathbb{R}}.\] This description implies that the space of all local derivations on \[{\mathbb{O}_\mathbb{R}}\] when equipped with Lie bracket is isomorphic to the Lie algebra \[\mathfrak{s}{\mathfrak{o}_7}(\mathbb{R})\] of all real skew-symmetric \[7 \times 7\]-matrices. We also consider \[2\]-local derivations on an octonion algebra \[{\mathbb{O}_\mathbb{F}}\] over an algebraically closed field \[\mathbb{F}\] of the characteristic zero and prove that every \[2\]-local derivation on \[{\mathbb{O}_\mathbb{F}}\] is a derivation. Further, we apply these results to similar problems …

Diverse University Students Across The United States Reveal Promising Pathways To Hunter Recruitment And Retention, Victoria R. Vayer, Lincoln R. Larson, M. Nils Peterson, Kangjae Jerry Lee, Richard Von Furstenberg, Daniel Y. Choi, Kathryn Stevenson, Adam A. Ahlers, Christine Anhalt-Depies, Taniya Bethke, Jeremy Bruskotter, Christopher J. Chizinski, Brian Clark, Ashley A. Dayer, Benjamin Ghasemi, Larry Gigliotti, Alan Graefe, Kris Irwin, Samuel J. Keith, Matt Kelly, Gerard Kyle, Elizabeth Metcalf, Wayde Morse, Mark D. Needham, Neelam Poudyal, Michael Quartuch, Shari Rodriguez, Chelsie Romulo, Ryan L. Sharp, William Siemer, Matt Springer, Richard Stedman, Taylor Stein, Tim Van Deelen, Jason Whiting, Richelle L. Winkler, Kyle Maurice Woosnam

School of Natural Resources: Faculty Publications

Declining participation in hunting, especially among young adult hunters, affects the ability of state and federal agencies to achieve goals for wildlife management and decreases revenue for conservation. For wildlife agencies hoping to engage diverse audiences in hunter recruitment, retention, and reactivation (R3) efforts, university settings provide unique advantages: they contain millions of young adults who are developmentally primed to explore new activities, and they cultivate a social atmosphere where new identities can flourish. From 2018 to 2020, we surveyed 17,203 undergraduate students at public universities across 22 states in the United States to explore R3 potential on college campuses …

Gems Student: Can Improved Diet Quality Alleviate Harmful Effects Of Pesticides And Viruses In Honey Bees?, Brittney Bailey, Ed Hsieh, Adam Dolezal

PRECS student projects

This study investigates interacting effects of viruses and pesticides within honey bees and how improved diet quality can mitigate these effects. This experiment allows a multivariate problem which exists in natural conditions of the honey bee community to be observed in a controlled cage bioassay. • The virus used in this study is the Israeli acute-paralysis virus (IAPV). Neonicotinoid thiamethoxam is the pesticide used in both trials shown in the ‘Results’ section. This experiment has not begun the use of the pyrethroid at this time.

Determining The Causal Link Of Honey Bee Gut Microbial Composition On Behavioral Maturation, Thi Lan Anh Nguyen, Cassondra L. Vernier, Gene E. Robinson

PRECS student projects

Emerging studies have supported the association between gut microbiome and host behaviors. However, it is unclear whether changes in the gut microbiome cause changes in host behaviors or vice versa. The European honey bee, Apis mellifera, is an excellent animal model for identifying the causal link between microbiome and behavioral changes over the lifetime of the host as the honey bee gut contains a simple microbiome composed of only nine bacterial taxa clusters. In honey bees, division of labor occurs through behavioral maturation where age determines what task a bee does. For example, older bees forage while younger bees perform …

Effects Of Color Polymorphism And Lighting Environments On Male Bluefin Killifish Behavior, Elijah Davis, Ratna Karatgi, Becky Fuller

PRECS student projects

Polymorphism occurs when multiple, discrete phenotypes exist for a trait within the same species. Polyphenism, a form of phenotypic plasticity, occurs when the environment in which animals develop determines which discrete, morph is expressed. Color polymorphism occurs in male killifish anal fins where red, yellow, and blue color morphs are observed. Populations are found in both spring and swamp habitats. A polyphenism is present where males develop blue anal fins when raised in tea-stained water, which mimics swamps. My goal was to determine whether this plasticity is adaptive. Do blue males have an advantage in swamp water? Previous research involving …

Can In Vitro Phenotypes Of Fusarium Graminearum Indicate In Planta Aggressiveness?, Harrison Hall, Santiago Mideros

PRECS student projects

What is Fusarium graminearum and what does it do? Fusarium graminearum (F. graminearum), causes Fusarium Head Blight (FHB) in wheat and barley. FHB results in crop destruction and toxins that are harmful for human and animal consumption. There are several populations of F. graminearum present in North America and rates of in planta aggressiveness and toxin levels vary by Population. Visually, it is difficult to determine the aggression or toxin levels of an infection. However, it may be possible to determine this through in vitro growth. By using in vitro growth, it may be possible to determine in planta aggressiveness …

Gems Student: Biofilm Production In Rhizobia Influences Clover Drought Response, Faith Smith, Kevin Ricks, Anthony Yannarell

PRECS student projects

Rhizobia serve as model system for examining how phenotypic changes in rhizobia influence the plant. Rhizobium-legume symbioses result in the formation of nodules on the root systems of host plants. Compositional and functional changes in microbial communities facilitate the host plants’ response to environmental stressors (i.e.; drought stress). Physiological effects of soil moisture on microbial communities result in specialized communities that can tolerate much low soil-moisture habitats while others are limited to high soil-moisture environments. This suggests microbial communities can assist in maintaining plant fitness when exposed to nonideal environmental conditions.

Bioinformatics Protocol For Assessing Contamination Level And Quality On Genomics Data Of Ensifer Meliloti, Soohyun Lee, Mario Ceròn Romero, Katy Heath

PRECS student projects

Nitrogen (N) fixing bacteria have a symbiotic relationship with host plants. The legume plants provide sugar, a product of its photosynthesis, to rhizobacteria. Rhizobacteria, one of the various N fixing bacteria, utilize the sugar for its energy source needed for conversion of N2into NH4+. The rhizobacteria would provide fixed nitrogen to legume plant for its growth in exchange of energy source. There are various symbiotic relationships between microbes and plants, and the Heath Lab is especially interested in relationship between rhizobacteria and legume plants. Various genomic methods to study rhizobacteria require sequence data in Heath Lab. However, there is high …

The Genetics Of Aggression In Unique Three-Spined Stickleback Populations, Megan Tucker, Colby Behrens, Alison M. Bell

PRECS student projects

No abstract provided.

The Effects Of Forest Management Practices On Wild Bee Abundance And Functional Traits, Harvey Vela, Marissa H. Chase, Alexandra Harmon-Threatt

PRECS student projects

Both wild and managed bees are in decline due to the combined and interactive effects of anthropogenic disturbances such as habitat loss and pesticide use. This is concerning because bees are important not only for the pollination of agricultural lands, but also for plants in both natural and managed landscapes. North America is home to about 4000 native species of bees, all of which can be further classified by various characteristics such as body size, nesting strategy, diet breadth, and sociality. These traits are considered functional traits because they can impact the function – pollination – bees contribute to an …

Evaluating The Efficiency In The Application Of Transformation And Crispr/Cas9 Gene-Editing Technique On Pumpkins, Min Rung (Nicole) Hsu, Maria Malvino, Sarah R. Hind

PRECS student projects

With the simplicity of a unique genome engineering mechanism, CRISPR/Cas9 gene-editing technique has amazed scholars with its effectiveness and efficiency in manipulating gene sequences.[1] As this advanced technique develops, its applications on different species arise as prominent subjects yet to be determined. Due to the great economic value of pumpkins and the need for examining CRISPR/Cas9 gene-editing efficiency, Casperita pumpkin (Cucurbita pepo) is chosen as the subject to be investigated on. Through introducing CRISPR/Cas9 system —for modifying phytoene desaturase (PDS) gene— into pumpkin seeds with Agrobacterium-mediated transformation, we regenerate transgenic pumpkins and expect to observe albino leaves in the transformed …

Behavioral Plasticity In Response To Environmental Cues In Poison Frog Tadpoles, Samta Oza, Lisa Surber, Eva K. Fischer

PRECS student projects

Behavioral plasticity is the ability of an organism to detect cues in their environment and respond by modifying behavior. In the wild, dyeing poison frog (Dendrobates tinctorius) tadpoles are delivered by their dads to pools that vary in predation risk, resource availability, con-and hetero-specific density. Conspecific density is especially important as these tadpoles are aggressive and often cannibalistic. Behavioral plasticity in response to environmental cues may help tadpoles to compete for resources and survival.

"Super Gzk" Particles In A Classic Kramers' Diffusion-Over-A-Barrier Model. I. The Case Of Protons, S. T. Alnussirat, A. F. Barghouty, G. M. Webb, P. L. Biermann

Faculty Publications

In interactions of ultra-high-energy cosmic ray (UHECR) protons with cosmic microwave background photons, we focus in this work on photopion production reactions and the effects of the measured, broad, energy-loss distributions in these reactions on the evolution of the protons' density functions in energy space. We rely on a Fokker-Planck transport equation in energy space whose transport coefficients are calculated using laboratory measurements. We also derive a Fokker-Planck potential that accounts for both systematic (drift) and stochastic (dispersive) energy losses due to photopion production reactions. Our results show that dispersive energy losses have significant effects on estimating the protons' horizon …

Relating Dust Reference Models To Conventional Systems In Manifestly Gauge Invariant Perturbation Theory, Kristina Giesel, Bao-Fei Li, Parampreet Singh

Faculty Publications

Models with dust reference fields in relational formalism have proved useful in understanding the construction of gauge invariant perturbation theory to arbitrary orders in the canonical framework. These reference fields modify the dynamical equations for perturbation equations. However, important questions remain open on the relation with conventional perturbation theories of inflaton coupled to gravity and of multifluid systems, and on understanding modifications in terms of physical degrees of freedom. These gaps are filled in this manuscript for Brown-Kuchar and Gaussian dust models, both of which involve three scalar physical degrees of freedom. We establish a relationship of these models with …

Octo-Tiger: A New, 3d Hydrodynamic Code For Stellar Mergers That Uses Hpx Parallelization, Dominic C. Marcello, Sagiv Shiber, Orsola De Marco, Juhan Frank, Geoffrey C. Clayton, Patrick M. Motl, Patrick Diehl, Hartmut Kaiser

Faculty Publications

OCTO-TIGER is an astrophysics code to simulate the evolution of self-gravitating and rotating systems of arbitrary geometry based on the fast multipole method, using adaptive mesh refinement. OCTO-TIGER is currently optimized to simulate the merger of well-resolved stars that can be approximated by barotropic structures, such as white dwarfs (WDs) or main-sequence stars. The gravity solver conserves angular momentum to machine precision, thanks to a 'correction' algorithm. This code uses firx parallelization, allowing the overlap of work and communication and leading to excellent scaling properties, allowing for the computation of large problems in reasonable wall-clock times. In this paper, we …

What Fuzzy And Quantum Computing Can Learn From The Success Of Deep Learning, Shahnaz Shahbazova, Vladik Kreinovich

Departmental Technical Reports (CS)

How can we apply the ideas that made deep neural networks successful to other aspects of computing? For this purpose, we reformulate these ideas in a more general form -- and we show that this generalization also covers fuzzy and quantum computing. This enables us to suggest that similar ideas can be helpful for fuzzy and quantum computing as well. In this suggestion, we are encouraged by the fact that as we show, to some extent, these ideas are already helpful.

Why Quantum Techniques Are A Good First Approximation To Economic Phenomena, And What Next, Vladik Kreinovich, Olga Kosheleva

Departmental Technical Reports (CS)

Somewhat surprisingly, several formulas of quantum physics -- the physics of micro-world -- provide a good first approximation to many social phenomena, in particular, to many economic phenomena, phenomena which are very far from micro-physics. In this paper, we provide three possible explanations for this surprising fact. First, we show that several formulas from quantum physics actually provide a good first-approximation description for many phenomena in general, not only to the phenomena of micro-physics. Second, we show that some quantum formulas represent the fastest way to compute nonlinear dependencies and thus, naturally appear when we look for easily computable models; …

What Is The Uncertainty Of The Result Of Data Processing: Fuzzy Analogue Of The Central Limit Theorem, Julio C. Urenda, Olga Kosheleva, Shahnaz Shahbazova, Vladik Kreinovich

Departmental Technical Reports (CS)

It is known that, due to the Central Limit Theorem, the probability distribution of the uncertainty of the result of data processing is, in general, close to Gaussian -- or to a distribution from a somewhat more general class known as infinitely divisible. We show that a similar result holds in the fuzzy case: namely, the membership function describing the uncertainty of the result of data processing is, in general, close to Gaussian -- or to a membership function from an explicitly described more general class.

Snowier Winters Extend Autumn Availability Of High-Quality Forage For Caribou In Arctic Alaska, J. C, Richert, A. J. Leffler, D. E. Spalinger, J. M. Walker

Natural Resource Management Faculty Publications

Caribou (Rangifer tarandus) rely on the short Arctic growing season to restore body condition, support the demands of lactation, and prepare for the long arctic winter, making them susceptible to even small changes in forage availability or quality. Body condition in the summer and autumn is linked to winter survival rates and fecundity in cows, critical factors in the productivity of caribou populations. Climate change predictions of warmer and wetter northern winters suggest increased snowfall over Alaska’s North Slope, which has recently been verified between 1995 and 2017. However, a comprehensive analysis of how deeper snow will affect caribou forage …

Certis: Digital Transformation Of A Physical Security Company, Singapore Management University

Perspectives@SMU

How a company synonymous with auxiliary police injected sensors and artificial intelligence into its 21st century operations

Characterizations And Reliability Measures Of The Generalized Log Burr Xii Distribution, Fiaz Ahmad Bhatti, Gholamhossein G. Hamedani, Azeem Ali, Sedigheh Mirzaei Salehabadi, Munir Ahmad

Mathematical and Statistical Science Faculty Research and Publications

In this paper, we derive the generalized log Burr XII (GLBXII) distribution [2] from the generalized Burr-Hatke differential equation. We characterize the GLBXII distribution via innovative techniques. We derive various reliability measures (series and parallel). We also authenticate the potentiality of the GLBXII model via economics applications. The applications of characterizations and reliability measures of the GLBXII distribution in different disciplines of science will be profitable for scientists.

Statistical Modeling Of Daily Confirmed Covid-19 Cases And Deaths In Europe And United States, Zerui Zhang

Master's Theses (2009 -)

A novel coronavirus disease was first discovered in Wuhan, China, in December 2019. This new coronavirus named COVID-19 has rapidly spread and become a global threat affecting almost all the countries in the world. Therefore, it is important to know the trend of coronavirus disease to mitigate its effects. A good prediction model is crucial for the health care system to understand the trend of the COVID-19. This study aims to construct a good prediction model. Firstly, we detect change points of the time series data of daily confirmed cases and deaths of COVID-19 in the United States and Europe, …

Biochemical Impact Of Solar Radiation Exposure On Human Keratinocytes Monitored By Raman Spectroscopy; Effects Of Cell Culture Environment, Ulises Lopez Gonzalez, Alan Casey, Hugh Byrne

Articles

Understanding and amelioration of the effects of solar radiation exposure are critical in preventing the occurrence of skin cancer. Towards this end, many studies have been conducted in 2D cell culture models under simplified and unrealistic conditions. 3D culture models better capture the complexity of in vivo physiology, although the effects of the 3D extracellular matrix have not been well studied. Monitoring the instantaneous and resultant cellular responses to exposure, and the influence of the 3D environment, could provide an enhanced understanding of the fundamental processes of photocarcinogenesis. This work presents an analysis of the biochemical impacts of simulated solar …

Novel “Acid Tuned” Deep Eutectic Solvents Based On Protonated L-Proline, Patrycja Janicka, Andrzej Przyjazny, Grzegorz Boczkaj

Natural Sciences Publications

The paper presents new types of deep eutectic solvents (DESs) based on L-proline protonated using three different acids (hydrochloric, sulfuric and phosphoric)and playing the role of a hydrogen bond acceptor(HBA). Glucose and xylitol were used as hydrogen bond donors (HBD). A series of deep eutectic solvents with various mole ratios were obtained for the systems L-proline: glucose and L-proline: xylitol. Density, melting point, pH and viscosity of the synthesized DESs were determined along with the effect of water content, mole fraction of the HBA in DES and temperature on properties of the DESs. A wide range of densities (1343–1606 kg/m3), …

Performance Of Openbci Eeg Binary Intent Classification With Laryngeal Imagery, Nathan George, Samuel Kuhn

Regis University Faculty Publications (comprehensive list)

One of the greatest goals of neuroscience in recent decades has been to rehabilitate individuals who no longer have a functional relationship between their mind and their body. Although neuroscience has produced technologies which allow the brains of paralyzed patients to accomplish tasks such as spell words or control a motorized wheelchair, these technologies utilize parts of the brain which may not be optimal for simultaneous use. For example, if you needed to look at flashing lights to spell words for communication, it would be difficult to simultaneously look at where you are moving. To improve upon this issue, this …

Analysis Of Eeg Data Using Complex Geometric Structurization, Eddy A. Kwessi, L. J. Edwards

Mathematics Faculty Research

Electroencephalogram (EEG) is a common tool used to understand brain activities. The data are typically obtained by placing electrodes at the surface of the scalp and recording the oscillations of currents passing through the electrodes. These oscillations can sometimes lead to various interpretations, depending on, for example, the subject’s health condition, the experiment carried out, the sensitivity of the tools used, or human manipulations. The data obtained over time can be considered a time series. There is evidence in the literature that epilepsy EEG data may be chaotic. Either way, the Embedding Theory in dynamical systems suggests that time series …

Latex Variation In Hemp Dogbane (Apocynum Cannabinum), Michael Aikin, Rose Keith Phd

Annual Student Research Poster Session

Hemp Dogbane (Apocynum cannabinum) is a weedy perennial native to North America that can reproduce by seed or clonally. Shoots can emerge from vertically oriented crown roots or horizontally orientated lateral roots. This plant can be found readily throughout the nature park in small to large patches. We sampled from 6 populations, 3 within the quarry bottom and 3 outside of the quarry bottom. We looked at latex production to determine if it was influenced more by herbivory or water availability. In our analysis we discovered that water availability played a role in the amount of latex produced and that …