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Full-Text Articles in Physical Sciences and Mathematics

The Rising Trend Of Metaverse In Education: Challenges, Opportunities, And Ethical Considerations, Sanaa Kaddoura, Fatima Al Husseiny Feb 2023

The Rising Trend Of Metaverse In Education: Challenges, Opportunities, And Ethical Considerations, Sanaa Kaddoura, Fatima Al Husseiny

All Works

Metaverse is invading the educational sector and will change human-computer interaction techniques. Prominent technology executives are developing novel ways to turn the Metaverse into a learning environment, considering the rapid growth of technology. Since the COVID-19 outbreak, people have grown accustomed to teleworking, telemedicine, and numerous other forms of distance interaction. Recently, the Metaverse has been the focus of many educators. With Facebook’s statement that it was rebranding and promoting itself as Meta, this field saw a surge in interest in the areas of computer science and education. There is a literature gap in studying the Metaverse’s role in education. …


A Model For The Rapid Assessment Of Solution Structures For 24-Atom Macrocycles: The Impact Of Β-Branched Amino Acids On Conformation, Alexander J. Menke, Camryn J. Gloor, Liam E. Claton, Magy A. Mekhail, Hongjun Pan, Mikaela D. Stewart, Kayla N. Green, Joseph H. Reibenspies, Giovanni M. Pavan, Riccardo Capelli, Eric E. Simanek Feb 2023

A Model For The Rapid Assessment Of Solution Structures For 24-Atom Macrocycles: The Impact Of Β-Branched Amino Acids On Conformation, Alexander J. Menke, Camryn J. Gloor, Liam E. Claton, Magy A. Mekhail, Hongjun Pan, Mikaela D. Stewart, Kayla N. Green, Joseph H. Reibenspies, Giovanni M. Pavan, Riccardo Capelli, Eric E. Simanek

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Experiment and computation are used to develop a model to rapidly predict solution structures of macrocycles sharing the same Murcko framework. These 24-atom triazine macrocycles result from the quantitative dimerization of identical monomers presenting a hydrazine group and an acetal tethered to an amino acid linker. Monomers comprising glycine and the β-branched amino acids threonine, valine, and isoleucine yield macrocycles G-G, T-T, V-V, and I-I, respectively. Elements common to all members of the framework include the efficiency of macrocyclization (quantitative), the solution- and solid-state structures (folded), the site of protonation (opposite the auxiliary dimethylamine group), the …


Self-Assembly Of Metallo-Supramolecules Based On Terpyridine And Its Derivatives, Yu Yan Feb 2023

Self-Assembly Of Metallo-Supramolecules Based On Terpyridine And Its Derivatives, Yu Yan

USF Tampa Graduate Theses and Dissertations

By studying coordination complexes in nature, such as chlorophyll, heme, and Enterobacter, we have learned that the structures of coordination complexes are closely related to their functions. However, it remains a challenge to achieve elaborate structures and sophisticated functions of complexes through synthetic methods. In the supramolecular chemistry field, coordination-driven self-assembly as a bottom-up approach are used to construct diverse supramolecules with well-defined structures and desired functions. The ways to achieve the goal including (1) rearranging components through coordination; (2)linking metal ions and organic frameworks to complete energy transfer; (3) converting between assembly and disassembly due to detection of stimuli. …


Scaling Of Turbulence And Microphysics In A Convection–Cloud Chamber Of Varying Height, Subin Thomas, Fan Yang, Mikhail Ovchinnikov, Will Cantrell, Raymond Shaw Feb 2023

Scaling Of Turbulence And Microphysics In A Convection–Cloud Chamber Of Varying Height, Subin Thomas, Fan Yang, Mikhail Ovchinnikov, Will Cantrell, Raymond Shaw

Michigan Tech Publications, Part 1

The convection–cloud chamber enables measurement of aerosol and cloud microphysics, as well as their interactions, within a turbulent environment under steady-state conditions. Increasing the size of a convection–cloud chamber, while holding the imposed temperature difference constant, leads to increased Rayleigh, Reynolds and Nusselt numbers. Large–eddy simulation coupled with a bin microphysics model allows the influence of increased velocity, time, and spatial scales on cloud microphysical properties to be explored. Simulations of a convection–cloud chamber, with fixed aspect ratio and increasing heights of H = 1, 2, 4, and (for dry conditions only) 8 m are performed. The key findings are: …


A Diagnostic Framework For Reengineering Soil: Potential Strategies To Manage Combinations Of Soil Constraints For Sands And Texture Contrast Soils, Gaus Azam, Stephen Davies Feb 2023

A Diagnostic Framework For Reengineering Soil: Potential Strategies To Manage Combinations Of Soil Constraints For Sands And Texture Contrast Soils, Gaus Azam, Stephen Davies

Natural resources published reports

This report is an output of project DAW1902-003RTX ‘Reengineering soils to improve the access of crop root systems to water and nutrients stored in the subsoil’, supported by a co-investment between the Department of Primary Industries and Regional Development (DPIRD) and the Grains Research and Development Corporation (GRDC).

Key messages:

• Existing soil amelioration options can generate substantial yield responses. However, further yield gain is possible with further improvement in soil amelioration strategies.

• Mapping of soil constraints and potential yield gaps using the water use efficiency achieved from a pilot reengineering experiment has identified a significant yield gap attributed …


P-Adic Statistical Field Theory And Deep Belief Networks, Wilson A. Zuniga-Galindo Feb 2023

P-Adic Statistical Field Theory And Deep Belief Networks, Wilson A. Zuniga-Galindo

School of Mathematical & Statistical Sciences Faculty Publications

In this work we initiate the study of the correspondence between p-adic statistical field theories (SFTs) and neural networks (NNs). In general quantum field theories over a p-adic spacetime can be formulated in a rigorous way. Nowadays these theories are considered just mathematical toy models for understanding the problems of the true theories. In this work we show these theories are deeply connected with the deep belief networks (DBNs). Hinton et al. constructed DBNs by stacking several restricted Boltzmann machines (RBMs). The purpose of this construction is to obtain a network with a hierarchical structure (a deep learning architecture). An …


Occupancy And Abundance Of A West African Mangabey Species (Cercocebus Atys Audebert, 1797) In Forest Patch Habitat, Kellie Laity, April Conway, Sonia M. Hernandez, John P. Carroll, Dessalegn Ejigu Feb 2023

Occupancy And Abundance Of A West African Mangabey Species (Cercocebus Atys Audebert, 1797) In Forest Patch Habitat, Kellie Laity, April Conway, Sonia M. Hernandez, John P. Carroll, Dessalegn Ejigu

School of Natural Resources: Faculty Publications

Sooty mangabeys are Old World primates from the Upper Guinea Rainforests of West Africa. They suffer from habitat degradation due to deforestation and hunting for the bush-meat trade. Tiwai Island and adjacent small islands are a small protected area surrounded by the Moa River that is known for its high diversity of primate species. We evaluated the occupancy and abundance of sooty mangabeys on Tiwai Island and the surrounding islands using camera traps during 2008–2011. Over two seasons, we obtained a naïve occupancy rate of 0.77 for Tiwai Island but only 0.19 for surrounding smaller islands. We used Abundance-Induced Heterogeneity …


Staerkel Planetarium Introduces A New Round Of Speakers, Erik Johnson Feb 2023

Staerkel Planetarium Introduces A New Round Of Speakers, Erik Johnson

Natural Science Faculty

Each year, the Staerkel Planetarium at Parkland College hosts speakers from around the world of science. The first lecturer of this series was the late professor Jim Kaler. After providing beloved astronomy talks for thirty years, the James Kaler Science Lecture Series was renamed in his honor.


Lack Of Influence Of The Environment In The Earliest Stages Of Massive Galaxy Formation, Marianna Annunziatella, Pablo G. Pérez-González, Ángela García Argumánez, Guillermo Barro, Belén Alcalde Pampliega, Luca Costantin, Anton M. Koekemoer, Rosa M. Mérida Feb 2023

Lack Of Influence Of The Environment In The Earliest Stages Of Massive Galaxy Formation, Marianna Annunziatella, Pablo G. Pérez-González, Ángela García Argumánez, Guillermo Barro, Belén Alcalde Pampliega, Luca Costantin, Anton M. Koekemoer, Rosa M. Mérida

Pacific Faculty Work

We investigate how the environment affects the assembly history of massive galaxies. For that purpose, we make use of Survey for High-z Absorption Red and Dead Sources (SHARDS) and HST spectrophotometric data, whose depth, spectral resolution, and wavelength coverage allow to perform a detailed analysis of the stellar emission as well as obtaining unprecedentedly accurate photometric redshifts. This expedites a sufficiently accurate estimate of the local environment and a robust derivation of the star formation histories of a complete sample of 332 massive galaxies (>1010M☉) at redshift 1 ≤ z ≤ 1.5 in the GOODS-N field. We …


Comparisons Of Small Unmanned Aircraft Systems And Agro-Terrestrial Surveys: Techniques To Determine Field Elevation Surfaces For Improved Crop And Water Management., Richard A. Pickett Jr Feb 2023

Comparisons Of Small Unmanned Aircraft Systems And Agro-Terrestrial Surveys: Techniques To Determine Field Elevation Surfaces For Improved Crop And Water Management., Richard A. Pickett Jr

Student Theses and Dissertations

Row crop agriculture in Arkansas relies predominantly on groundwater resources for irrigation. This places great demand on the Mississippi River Valley Alluvial Aquifer (MRVAA), which is in a current state of decline. The Eastern Arkansas region produces commodity crops including soybeans, rice, corn, cotton, and peanuts, all of which utilize irrigation for optimal productivity. Conservation practices that reduce groundwater use include precision land leveling, multiple inlet rice irrigation, and computerized hole size selection for furrow irrigation. To collect elevation data to irrigate efficiently, these practices require precision agriculture technology, more specifically Real-Time Kinematic–Global Navigation Satellite Systems (RTK-GNSS). As RTK-GNSS technologies …


Agriculture Water Use And Economic Value In The Great Salt Lake Basin, Cody Zesiger, Burdette Barker, Sarah Null, Earl Creech, Matt Yost, Ryan Larsen, Joshua Dallin Feb 2023

Agriculture Water Use And Economic Value In The Great Salt Lake Basin, Cody Zesiger, Burdette Barker, Sarah Null, Earl Creech, Matt Yost, Ryan Larsen, Joshua Dallin

All Current Publications

This fact sheet briefly describes human impacts on GSL water volume, human population growth, surface water withdrawals, and agricultural water use from 1985 and 2015 in the GSL Basin. Finally, agriculture’s economic impact and food production in the GSL Basin are summarized.


Machine Learning Methods For Computational Phenotyping Using Patient Healthcare Data With Noisy Labels, Praveen Kumar Feb 2023

Machine Learning Methods For Computational Phenotyping Using Patient Healthcare Data With Noisy Labels, Praveen Kumar

Computer Science ETDs

Positive and Unlabeled (PU) learning problems abound in many real-world applications. In healthcare informatics, diagnosed patients are considered labeled positive for a specific disease, but being undiagnosed does not mean they can be labeled negative. PU learning can improve classification performance, and estimate the positive fraction, α, among unlabeled samples. However, algorithms based on the Selected Completely At Random (SCAR) assumption are inadequate when the SCAR assumption fails (e.g., severe cases overrepresented), and when class imbalance is substantial. This dissertation presents and evaluates new algorithms to overcome these limitations. The proposed methods outperform the state-of-art for α-estimation, enhance classification performance, …


Cascading Effects Of Cover Crops On The Subsequent Cash Crop Defense Against The Polyphagous Herbivore Fall Armyworm (Spodoptera Frugiperda), Adegboyega Fajemisin, Alexis Racelis, Rupesh R. Kariyat Feb 2023

Cascading Effects Of Cover Crops On The Subsequent Cash Crop Defense Against The Polyphagous Herbivore Fall Armyworm (Spodoptera Frugiperda), Adegboyega Fajemisin, Alexis Racelis, Rupesh R. Kariyat

School of Earth, Environmental, & Marine Sciences Faculty Publications

Simple Summary

Although studies have started to show that the effects of cover crops can translate into the cash cropping season, there is little information on the cascading effects of cover crops on the subsequent cash crop defenses, especially against polyphagous herbivores. To bridge this information gap, we conducted a field and laboratory study to investigate the cascading effects of different cover crop species on the subsequent cash crop defense against the polyphagous herbivore fall armyworm (Spodoptera frugiperda) across three fields in the Lower Rio Grande Valley in south Texas. Our field and laboratory results revealed that cover crop treatments …


Measurement Of Proton Light Yield Of Water-Based Liquid Scintillator, E. J. Callaghan, B. L. Goldblum, J. A. Brown, T. A. Laplace, Juan J. Manfredi, M. Yeh, G. D. Orebi Gann Feb 2023

Measurement Of Proton Light Yield Of Water-Based Liquid Scintillator, E. J. Callaghan, B. L. Goldblum, J. A. Brown, T. A. Laplace, Juan J. Manfredi, M. Yeh, G. D. Orebi Gann

Faculty Publications

The proton light yield of liquid scintillators is an important property in the context of their use in large-scale neutrino experiments, with direct implications for neutrino-proton scattering measurements and the discrimination of fast neutrons from inverse β-decay coincidence signals. This work presents the first measurement of the proton light yield of a water-based liquid scintillator (WbLS) formulated from 5% linear alkyl benzene (LAB), at energies below 20 MeV, as well as a measurement of the proton light yield of a pure LAB + 2 g/L 2,5-diphenyloxazole (PPO) mixture (LABPPO). The measurements were performed using a double time-of-flight method and a …


Automated Contouring And Planning In Radiation Therapy: What Is 'Clinically Acceptable'?, Caroline Chung, Laurence E Court, Mohammad D El Basha, Maguy Farhat, Skylar Gay, Mary P Gronberg, Aashish Chandra Gupta, Soleil Hernandez, Kai Huang, David A Jaffray, Rebecca Lim, Barbara Marquez, Kelly Nealon, Tucker J Netherton, Callistus M Nguyen, Brandon Reber, Dong Joo Rhee, Ramon M Salazar, Mihir D Shanker, Carlos Sjogreen, Mckell Woodland, Jinzhong Yang, Cenji Yu, Yao Zhao Feb 2023

Automated Contouring And Planning In Radiation Therapy: What Is 'Clinically Acceptable'?, Caroline Chung, Laurence E Court, Mohammad D El Basha, Maguy Farhat, Skylar Gay, Mary P Gronberg, Aashish Chandra Gupta, Soleil Hernandez, Kai Huang, David A Jaffray, Rebecca Lim, Barbara Marquez, Kelly Nealon, Tucker J Netherton, Callistus M Nguyen, Brandon Reber, Dong Joo Rhee, Ramon M Salazar, Mihir D Shanker, Carlos Sjogreen, Mckell Woodland, Jinzhong Yang, Cenji Yu, Yao Zhao

Faculty, Staff and Student Publications

Developers and users of artificial-intelligence-based tools for automatic contouring and treatment planning in radiotherapy are expected to assess clinical acceptability of these tools. However, what is 'clinical acceptability'? Quantitative and qualitative approaches have been used to assess this ill-defined concept, all of which have advantages and disadvantages or limitations. The approach chosen may depend on the goal of the study as well as on available resources. In this paper, we discuss various aspects of 'clinical acceptability' and how they can move us toward a standard for defining clinical acceptability of new autocontouring and planning tools.


Evidence Of Sea Level Rise At The Peruvian Coast (1942-2019), Bismarck Jigena-Antelo, Carol Estrada-Ludeña, Stephan Howden, Wilmer Rey, Jorge Paz-Acosta, Patricia Lopez-García, Eric Salazar-Rodriguez, Nieves Endrina, Juan J. Muñoz-Pérez Feb 2023

Evidence Of Sea Level Rise At The Peruvian Coast (1942-2019), Bismarck Jigena-Antelo, Carol Estrada-Ludeña, Stephan Howden, Wilmer Rey, Jorge Paz-Acosta, Patricia Lopez-García, Eric Salazar-Rodriguez, Nieves Endrina, Juan J. Muñoz-Pérez

Faculty Publications

The present work aims to analyze the variability of the sea level of the Peruvian coast with time series over a long observation period (Seventy-eight years, from 1942 to 2019). Data came from the Talara, Callao and Matarani tide gauge stations located at the north, center and south of the coast. Variations of sea level as well as air and seawater surface temperature were analyzed. Among the different scenarios studied, a sea level rise of 6.79, 4.21 and 5.16 mm/year for Talara, Callao and Matarani, respectively was found during the 1979–1997 nodal cycle. However, these results decreased significantly during the …


Drought Stress Prediction And Propagation Using Time Series Modeling On Multimodal Plant Image Sequences, Sruti Das Choudhury, Sinjoy Saha, Ashok Samal, Anastasios Mazis, Tala Awada Feb 2023

Drought Stress Prediction And Propagation Using Time Series Modeling On Multimodal Plant Image Sequences, Sruti Das Choudhury, Sinjoy Saha, Ashok Samal, Anastasios Mazis, Tala Awada

School of Natural Resources: Faculty Publications

The paper introduces two novel algorithms for predicting and propagating drought stress in plants using image sequences captured by cameras in two modalities, i.e., visible light and hyperspectral. The first algorithm, VisStressPredict, computes a time series of holistic phenotypes, e.g., height, biomass, and size, by analyzing image sequences captured by a visible light camera at discrete time intervals and then adapts dynamic time warping (DTW), a technique for measuring similarity between temporal sequences for dynamic phenotypic analysis, to predict the onset of drought stress. The second algorithm, HyperStressPropagateNet, leverages a deep neural network for temporal stress propagation using hyperspectral imagery. …


Great Salt Lake Policy Assessment: A Synthesized Resource Document For The 2023 General Legislative Session, William Anderegg, Craig Buttars, Joel Ferry, Natalie Gochnour, Kim Shelley, Brian Steed, David Tarboton, Leila Ahmadi, Eric Albers, Blake Bingham, Paul Brooks, Joanna Endter-Wada, Candice Hasenyager, John Lin, Anna Mcentire, Bethany Neilson, Sarah Null, Kevin Perry, Ben Stireman, Courenay Strong, Kyla Welch, Matt Yost Feb 2023

Great Salt Lake Policy Assessment: A Synthesized Resource Document For The 2023 General Legislative Session, William Anderegg, Craig Buttars, Joel Ferry, Natalie Gochnour, Kim Shelley, Brian Steed, David Tarboton, Leila Ahmadi, Eric Albers, Blake Bingham, Paul Brooks, Joanna Endter-Wada, Candice Hasenyager, John Lin, Anna Mcentire, Bethany Neilson, Sarah Null, Kevin Perry, Ben Stireman, Courenay Strong, Kyla Welch, Matt Yost

Watershed Sciences Faculty Publications

Declining water levels threaten economic activity, public health, and ecosystems of Great Salt Lake and surrounding communities. This policy assessment provides a summary of data, insights, and policy options that will inform strategies to improve water management and increase deliveries to the lake.


Compactness And Neutrosophic Topological Space Via Grills, Runu Dhar Feb 2023

Compactness And Neutrosophic Topological Space Via Grills, Runu Dhar

Neutrosophic Systems with Applications

The aim of this paper is to introduce the concept of various types of compactness in neutrosophic topological space via grills. We shall generalize neutrosophic C - compact space and neutrosophic G - compact space and introduce C(G) - compact space in neutrosophic topological space with respect to grills. We shall call it as neutrosophic C - compact with respect to grills and term it as neutrosophic C(G) - compact space. We shall also investigate some of its basic properties and characterization theorems. We shall also study the neutrosophic quasi - H - closed space with respect to a grill.


College Of Natural Sciences Newsletter, November 2022 - January 2023, College Of Natural Sciences Feb 2023

College Of Natural Sciences Newsletter, November 2022 - January 2023, College Of Natural Sciences

College of Natural Sciences Newsletters and Reports

Volme 3, Issue 7

Page 1 Dean's Message
Page 2 Awards & Recognition
Page 3 Sioux Falls Middle School Visit
Page 4 Bio-Micro Day of Scholars
Page 5 GIS Day at USGS EROS
Page 6 Indigenous People's Festival, & Visiting Jack's Imagination Lab
Page 7 Media Coverage of CNS, & Research Highlights from Geography & Geospatial Sciences
Page 8 Media Coverage of CNS. cont.
Page 9 Open PRAIRIE Data
Page 10 Recent Publications from CNS
Page 11 Recent Publications from CNS. cont.
Page 12 CNS Holiday Snapshots
Page 13 & 14 Fall 2022 Dean's List
Page 12-14 Fall 2022 Outreach …


Evaluation Of Polyacrylamide (Pam) Effects On Irrigation Efficiency, Soil Conservation, And Water Quality In Midsouth Cotton Production, Brittany D. Barnes Feb 2023

Evaluation Of Polyacrylamide (Pam) Effects On Irrigation Efficiency, Soil Conservation, And Water Quality In Midsouth Cotton Production, Brittany D. Barnes

Student Theses and Dissertations

The polymer, polyacrylamide (PAM), is a high molecular weight, chemical anionic polymer that is prescribed and used for irrigation improvement in row crops primarily in the United States. A field research study was conducted in 2014, 2015 and 2016 in Northeast Arkansas to evaluate how addition of PAM in furrow irrigation affected soil erosion, water infiltration, movement of nutrients and sediments, and crop yields in cotton (Gossypium hirsutum). Overall results from the study were mixed. Sediment loss was similar among treatments. Irrigation advancement rates were not significantly different. No differences in crop yield were observed associated with PAM. Differences in …


Evaluation Of Woodchip Bioditch Reactors As A Nutrient Reduction Conservation Strategy, Geoffrey K. Payne Feb 2023

Evaluation Of Woodchip Bioditch Reactors As A Nutrient Reduction Conservation Strategy, Geoffrey K. Payne

Student Theses and Dissertations

Continued increases in nitrogen and phosphorus loads in waterways cause problems with water quality, impacting human health, the economy, and the environment. To reach nutrient load reduction targets, innovative conservation strategies should be evaluated. This study aimed to assess (1) the potential of using woodchip bioditch reactors for the mitigation of nitrate (NO3-) and soluble reactive phosphorus (SRP) in agricultural waterways; (2) the influence of orientation of the bioditch reactor to flow direction on NO3- and SRP concentrations and loads; and (3) the impact that differing wet/dry cycles have on NO3- and SRP concentrations and loads when bioditch reactors are …


2023 February 9 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University Feb 2023

2023 February 9 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.


Picture Gorge Basalt: Internal Stratigraphy, Eruptive Patterns, And Its Importance For Understanding Columbia River Basalt Group Magmatism, Emily Bogdan Cahoon, Martin J. Streck, Anthony A.P. Koppers Feb 2023

Picture Gorge Basalt: Internal Stratigraphy, Eruptive Patterns, And Its Importance For Understanding Columbia River Basalt Group Magmatism, Emily Bogdan Cahoon, Martin J. Streck, Anthony A.P. Koppers

Geology Faculty Publications and Presentations

The Picture Gorge Basalt (PGB) of the Columbia River Basalt Group (CRBG) has been previously thought to be limited in its eruptive volume (<3000 >km3) and thought to not extend far from its type locality. At present, PGB represents only 1.1 vol% of the CRBG with a relatively limited spatial distribution of ~10,000 km2. New age data illustrate that the PGB is the earliest and longest eruptive unit compared to other main-phase CRBG formations and that some dated basaltic flows reach far (~100 km) beyond the previously mapped extent. This study focuses on extensive outcrops of …


Northeast Pacific Eelgrass Dynamics: Interannual Expansion Distances And Meadow Area Variation Over Time, Stuart H. Munsch, Fiona L. Beaty, Kathryn M. Beheshti, W. Bryant Chesney, Charlie A. Endris, Travis G. Gerwing, Margot Hessing-Lewis, Peter M. Kiffney, Jennifer K. O’Leary, Luba Reshitnyk, Beth L. Sanderson, Ryan K. Walter Feb 2023

Northeast Pacific Eelgrass Dynamics: Interannual Expansion Distances And Meadow Area Variation Over Time, Stuart H. Munsch, Fiona L. Beaty, Kathryn M. Beheshti, W. Bryant Chesney, Charlie A. Endris, Travis G. Gerwing, Margot Hessing-Lewis, Peter M. Kiffney, Jennifer K. O’Leary, Luba Reshitnyk, Beth L. Sanderson, Ryan K. Walter

Physics

Ecosystems constantly change, yet managers often lack information to move beyond static habitat assumptions. As human impacts and geographic information systems advance, it is important and feasible to quantify past habitat boundary shifts to inform management decisions (e.g. protective perimeters) robust to near-term habitat changes. This is the case in eelgrass (Zostera spp.), an ecosystem engineer that forms dynamic, often protected meadows. Practitioners protect areas to avoid human stress to eelgrass, but they can lack quantitative descriptions of the near-term potential for eelgrass meadows to shift into unprotected areas. Here, we quantified interannual eelgrass meadow boundary shifts within 23 sites …


Compactness And Neutrosophic Topological Space Via Grills, Runu Dhar Feb 2023

Compactness And Neutrosophic Topological Space Via Grills, Runu Dhar

Neutrosophic Systems with Applications

The aim of this paper is to introduce the concept of various types of compactness in neutrosophic topological space via grills. We shall generalize neutrosophic C - compact space and neutrosophic G - compact space and introduce C(G) - compact space in neutrosophic topological space with respect to grills. We shall call it as neutrosophic C - compact with respect to grills and term it as neutrosophic C(G) - compact space. We shall also investigate some of its basic properties and characterization theorems. We shall also study the neutrosophic quasi - H - closed space with respect to a grill.


Digital Atlas Of The Vascular Plants Of Utah, R. Douglas Ramsey, Leila M. Shultz, Wanda Lindquist, Chris Garrard, Mindy Wheeler Feb 2023

Digital Atlas Of The Vascular Plants Of Utah, R. Douglas Ramsey, Leila M. Shultz, Wanda Lindquist, Chris Garrard, Mindy Wheeler

Browse all Datasets

Locations of 74,755 vascular plant vouchers representing 2,425 species were digitized into a spatial database from the Atlas of the Vascular Plants of Utah (Albee et al. 1988). Source maps consisted of 1:6,000,000-scale shaded relief maps of Utah with points representing collection locations by species. Location points, representing 1 or more specimens, were transposed onto these maps from the approximately 400,000 herbarium records of 3 major universities and federal land management agencies.


Stable Trace Ideals And Applications, Haydee Lindo, Hai Long Dao Feb 2023

Stable Trace Ideals And Applications, Haydee Lindo, Hai Long Dao

All HMC Faculty Publications and Research

We study stable trace ideals in one dimensional local Cohen–Macaulay rings and give numerous applications.


The Probability Of Miracles, Lewis A. Pummell Feb 2023

The Probability Of Miracles, Lewis A. Pummell

CAFE Symposium 2023

An insight into the probability that we will experience a miracle within our lives. This project considers different ways of defining a miracle, and how this impacts how we consider them in our lives. They are paradoxical, and completely subjective - although there are key concepts of probability which will guide opinion.


The Use Of Probability In Quantum Mechanics To Calculate Measurement Outcomes, Hannah E. Collins Feb 2023

The Use Of Probability In Quantum Mechanics To Calculate Measurement Outcomes, Hannah E. Collins

CAFE Symposium 2023

The concept of probability can help measure some of the possible outcomes of different experiments in the field of quantum mechanics. Those experiments include Thomas Young's double slit experiment, the Schrödinger equation, the wave function, and the Born Rule, which all make use of probability to predict the placement of certain subatomic particles including photons of light, in the experiments. In this project, the manner in which probability does this is explored in depth.