Physical Sciences and Mathematics Commons^™

People-Environment Trade-Offs In Managing Communal Rangelands Of South Africa, J. E. Bennett, S. Lemke, T. Marandure

IGC Proceedings (1993-2023)

Communal rangelands in South Africa support a range of ecosystem services including water provision, carbon sequestration and livestock production for different stakeholders. Delivering these in a sustainable and socially appropriate manner necessarily requires trade-offs to be made between the different environmental and social outcomes required. We draw on empirical fieldwork and a two-day participatory stakeholder workshop to report on the early stages of a project evaluating these trade-offs in communal rangelands of the uMzimvubu catchment in Eastern Cape Province. Our findings suggest that trade-offs will be necessary at a variety of different levels within this system. For example, a key …

Legume And Nitrogen Fertilization Affect Animal Performance And Enteric Methane Emission Of Nellore Heifers, B. G. C. Homem, I. B. G. Lima, P. P. Spasiani, José C. B. Dubeux Jr., A. Berndt, D. R. Casagrande

IGC Proceedings (1993-2023)

Methane emission from livestock operation is an important source of greenhouse gas and contributes to global warming. Forage legume secondary compounds may mitigate methane emissions by reducing methanogenic population in the rumen. This study evaluated animal performance and methane emission from beef cattle grazing either a mixed pasture [Brachiaria brizantha cv. Marandu (palisadegrass) and Arachis pintoi (forage peanut) cv. BRS Mandobi] or a palisadegrass monoculture with or without nitrogen (N) fertilisation. A 2.5-yr continuous stocking experiment was carried out in southeast Brazil, on a randomized complete block design with three treatments and four replicates. Two Nellore heifers were used …

Decomposition Of Organic Peroxides And Hydrogen Peroxide By The Iron Thiolates And Related Complexes, Patrick H. Dussault, Andrew Olson

Chemistry Department: Faculty Publications

Disclosed herein is a method of reducing or disproportionating peroxide, comprising combining an organic chalcogenide, an iron salt, and the peroxide in the presence of an additional reductant, which can be the organic chalcogenide. The method can be used to, e.g., prepare alcohols from peroxides and to disproportionate hydrogen peroxide into water and oxygen.

Giving Preparative Thin-Layer Chromatography Some Tender ­Loving Care, John J. Hayward, Lavleen Mader, John F. Trant

Chemistry and Biochemistry Publications

Preparative thin-layer chromatography (prepTLC) is a commonly used method of purification suitable for small-scale reactions. However, descriptions of the preferred methodology to load, run, and recover samples from prepTLC are non-standard and varied, making it part of the ‘hidden curriculum’ of laboratory techniques. In this article we report on the simple, cost-effective methods we use to load and collect samples from a plate, which enhance the convenience, speed, and precision of this technique.

Transformnet: Self-Supervised Representation Learning Through Predicting Geometric Transformations, Hashim Sayed, Muhammad Ali

Student Publications

Deep neural networks need a big amount of training data, while in the real world there is a scarcity of data available for training purposes. To resolve this issue unsupervised methods are used for training with limited data. In this report, we describe the unsupervised semantic feature learning approach for recognition of the geometric transformation applied to the input data. The basic concept of our approach is that if someone is unaware of the objects in the images, he/she would not be able to quantitatively predict the geometric transformation that was applied to them. This self supervised scheme is based …

Connecting The Dots: Transmission Of Stony Coral Tissue Loss Disease From The Marquesas To The Dry Tortugas, Thomas Dobbelaere, Daniel M. Holstein, Erinn M. Muller, Lewis J. Gramer, Lucas Mceachron, Sara D. Williams, Emmanuel Hanert

Faculty Publications

For the last 7 years, Florida's Coral Reef (FCR) has suffered from widespread and severe coral loss caused by stony coral tissue loss disease (SCTLD). First observed off the coast of Miami-Dade county in 2014, the outbreak has since spread throughout the entirety of FCR and some areas of the Caribbean. However, the propagation of the disease through FCR seemed to slow down when it reached the western end of the Marquesas in August 2020. Despite being present about 30 km (similar to 20 miles) from the Dry Tortugas (DRTO), SCTLD was not reported in this area before May 2021. …

Multi-Walled Carbon Nanotube Supported Manganese Selenide As A Highly Active Bifunctional Oer And Orr Electrocatalyst, Harish Singh, Mckenzie Marley-Hines, Shatadru Chakravarty, Manashi Nath

Chemistry Faculty Research & Creative Works

Transition metal selenides have attracted intensive interest as cost-effective electrocatalysts for the oxygen reduction reaction (ORR) and oxygen evolution reaction (OER) because of the continuous thrust in sustainable energy conversion. In this article a Mn-based bifunctional electrocatalyst, MnSe, has been identified which shows efficient OER and ORR activity in alkaline medium. The catalytic activity could be further enhanced by using multiwalled carbon nanotubes (MWCNTs) which increases the charge transfer and electronic conductivity of the catalyst composite. This MnSe@MWCNT catalyst composite exhibits a very low overpotential of 290 mV at 10 mA cm⁻², which outperforms state-of-the-art RuO₂ as …

Epitaxial Electrodeposition Of Hole Transport Cuscn Nanorods On Au(111) At The Wafer Scale And Lift-Off To Produce Flexible And Transparent Foils, Bin Luo, Avishek Banik, Eric W. Bohannan, Jay A. Switzer

Chemistry Faculty Research & Creative Works

The wide bandgap p-type metal pseudohalide semiconductor copper(I) thiocyanate (CuSCN) can serve as a transparent hole transport layer in various opto-electronic applications such as perovsksite and organic solar cells and light-emitting diodes. The material deposits as one-dimensional CuSCN nanorod arrays, which are advantageous due to their high surface area and good charge transport properties. However, the growth of high-quality epitaxial CuSCN nanorods has remained a challenge. Here, we introduce a low cost and highly scalable room temperature procedure for producing epitaxial CuSCN nanorods on Au(111) by an electrochemical method. Epitaxial CuSCN grows on Au(111) with a high degree of in-plane …

Jamming Detection And Classification In Ofdm-Based Uavs Via Feature- And Spectrogram-Tailored Machine Learning, Y. Li, J. Pawlak, J. Price, K. Al Shamaileh, Q. Niyaz, S. Paheding, V. Devabhaktuni

Michigan Tech Publications

In this paper, a machine learning (ML) approach is proposed to detect and classify jamming attacks against orthogonal frequency division multiplexing (OFDM) receivers with applications to unmanned aerial vehicles (UAVs). Using software-defined radio (SDR), four types of jamming attacks; namely, barrage, protocol-aware, single-tone, and successive-pulse are launched and investigated. Each type is qualitatively evaluated considering jamming range, launch complexity, and attack severity. Then, a systematic testing procedure is established by placing an SDR in the vicinity of a UAV (i.e., drone) to extract radiometric features before and after a jamming attack is launched. Numeric features that include signal-to-noise ratio (SNR), …

Intelligent Fault-Tolerant Mechanism For Data Centers Of Cloud Infrastructure, Satish Kumar T, Madhusudhan H S, S. M. F. D. Syed Mustapha, Punit Gupta, Rajan Prasad Tripathi

All Works

Fault tolerance in cloud computing is considered as one of the most vital issues to deliver reliable services. Checkpoint/restart is one of the methods used to enhance the reliability of the cloud services. However, many existing methods do not focus on virtual machine (VM) failure that occurs due to the higher response time of a node, byzantine fault, and performance fault, and existing methods also ignore the optimization during the recovery phase. This paper proposes a checkpoint/restart mechanism to enhance reliability of cloud services. Our work is threefold: (1) we design an algorithm to identify virtual machine failure due to …

Elemental And Oxidized Mercury In The Atmosphere At Horsepool, Utah, January-July 2019, Seth Lyman

Browse all Datasets

This is a dataset of elemental and oxidized mercury in the ambient atmosphere at latitude 40.143° N and longitude 109.469° W. This is the location of the Horsepool monitoring station in the Uinta Basin, Utah. We collected these measurements using a dual-channel atmospheric mercury speciation instrument, which is described by Lyman, S. N., Gratz, L. E., Dunham-Cheatham, S. M., Gustin, M. S., & Luippold, A. (2020). Improvements to the accuracy of atmospheric oxidized mercury measurements. Environmental Science & Technology, 54(21), 13379-13388.

Comparing Online Surveys For Cybersecurity: Sona And Mturk, Anne Wagner, Anna Bakas, Shelia Kennison, Eric Chan-Tin

Computer Science: Faculty Publications and Other Works

People have many accounts and usually need to create a password for each. They tend to create insecure passwords and re-use passwords, which can lead to compromised data. This research examines if there is a link between personality type and password security among a variety of participants in two groups of participants: SONA and MTurk. Each participant in both surveys answered questions based on password security and their personality type. Our results show that participants in the MTurk survey were more likely to choose a strong password and to exhibit better security behaviors and knowledge than participants in the SONA …

The Effect Of Using The Gamification Strategy On Academic Achievement And Motivation Towards Learning Problem-Solving Skills In Computer And Information Technology Course Among Tenth Grade Female Students, Mazyunah Almutairi, Prof. Ahmad Almassaad

International Journal for Research in Education

Abstract

This study aimed to identify the effect of using the gamification strategy on academic achievement and motivation towards learning problem-solving skills in computer and information technology course. A quasi-experimental method was adopted. The study population included tenth-grade female students in Al-Badi’ah schools in Riyadh. The sample consisted of 54 students divided into two equal groups: control group and experimental group. The study tools comprised an achievement test and the motivation scale. The results showed that there were statistically significant differences between the two groups in the academic achievement test in favor of the experimental group, with a large effect …

Experimental Study To Assess The Impact Of Timers On User Susceptibility To Phishing Attacks, Amy E. Antonucci, Yair Levy, Laurie P. Dringus, Martha Snyder

Journal of Cybersecurity Education, Research and Practice

Social engineering costs organizations billions of dollars. It exploits the weakest link of information systems security, the users. It is well-documented in literature that users continue to click on phishing emails costing them and their employers significant monetary resources and data loss. Training does not appear to mitigate the effects of phishing much; other solutions are warranted. Kahneman introduced the concepts of System-One and System-Two thinking. System-One is a quick, instinctual decision-making process, while System-Two is a process by which humans use a slow, logical, and is easily disrupted. The key aim of our experimental field study was to investigate …

Faculty And Advisor Advice For Cybersecurity Students: Liberal Arts, Interdisciplinarity, Experience, Lifelong Learning, Technical Skills, And Hard Work, Brian K. Payne, Bria Cross, Tancy Vandecar-Burdin

Journal of Cybersecurity Education, Research and Practice

The value of academic advising has been increasingly emphasized in higher education. In this study, attention is given to the most significant types of advice that a sample of cybersecurity faculty and advisors from the Commonwealth of Virginia recommend giving to cybersecurity students. The results show that faculty and advisors recommended that students be aware of six different aspects of cybersecurity education including the value of experience, the need for lifelong learning, the importance of hard work, the need to develop technical skills, the interdisciplinary nature of cybersecurity, and the need to develop liberal arts or professional/soft skills. Implications of …

Subject Matter Experts’ Feedback On Experimental Procedures To Measure User’S Judgment Errors In Social Engineering Attacks, Tommy Pollock, Yair Levy, Wei Li, Ajoy Kumar

Journal of Cybersecurity Education, Research and Practice

Distracted users can fail to correctly distinguish the differences between legitimate and malicious emails or search engine results. Mobile phone users can have a more challenging time identifying malicious content due to the smaller screen size and the limited security features in mobile phone applications. Thus, the main goal of this research study was to design, develop, and validate a set of field experiments to assess user’s judgment when exposed to two types of simulated social engineering attacks: phishing and Potentially Malicious Search Engine Results (PMSER), based on the interaction of the environment (distracting vs. non-distracting) and type of device …

A Taxonomy Of Cyberattacks Against Critical Infrastructure, Miloslava Plachkinova, Ace Vo

Journal of Cybersecurity Education, Research and Practice

The current study proposes a taxonomy to organize existing knowledge on cybercrimes against critical infrastructure such as power plants, water treatment facilities, dams, and nuclear facilities. Routine Activity Theory is used to inform a three-dimensional taxonomy with the following dimensions: hacker motivation (likely offender), cyber, physical, and cyber-physical components of any cyber-physical system (suitable target), and security (capable guardian). The focus of the study is to develop and evaluate the classification tool using Design Science Research (DSR) methodology. Publicly available data was used to evaluate the utility and usability of the proposed artifact by exploring three possible scenarios – Stuxnet, …

The 2020 Twitter Hack – So Many Lessons To Be Learned, Paul D. Witman, Scott Mackelprang

Journal of Cybersecurity Education, Research and Practice

In mid-July 2020, the social media site Twitter had over 100 of its most prominent user accounts start to tweet requests to send Bitcoin to specified Bitcoin wallets. The requests promised that the Bitcoin senders would receive their money back doubled, as a gesture of charity amidst the COVID-19 pandemic. The attack appears to have been carried out by a small group of hackers, leveraging social engineering to get access to internal Twitter support tools. These tools allowed the hackers to gain full control of the high-profile user accounts and post messages on their behalf. The attack provides many paths …

Editorial Vol 2021, No 2, Herbert J. Mattord, Michael E. Whitman, Hossain Shahriar

Journal of Cybersecurity Education, Research and Practice

Welcome to the Winter 2021 edition of the Journal for Cybersecurity Education, Research, and Practice.

Using Low-Fix Rate Gps Telemetry To Expand Estimates Of Ungulate Reproductive Success, Nathan D. Hooven, Kathleen E. Williams, John T. Hast, Joseph R. Mcdermott, R. Daniel Crank, Gabe Jenkins, Matthew T. Springer, John J. Cox

Forestry and Natural Resources Faculty Publications

Background

Population parameters such as reproductive success are critical for sustainably managing ungulate populations, however obtaining these data is often difficult, expensive, and invasive. Movement-based methods that leverage Global Positioning System (GPS) relocation data to identify parturition offer an alternative to more invasive techniques such as vaginal implant transmitters, but thus far have only been applied to relocation data with a relatively fine (one fix every  < 8 h) temporal resolution. We employed a machine learning method to classify parturition/calf survival in cow elk in southeastern Kentucky, USA, using 13-h GPS relocation data and three simple movement metrics, training a random forest on cows that successfully reared their calf to a week old.

Results

We developed a decision rule based upon a predicted probability threshold across individual cow time series, accurately classifying 89.5% (51/57) of cows with a known reproductive status. When used to infer status of …

Soil Health – It's Not All Biology, Mark S. Coyne, E. M. Pena-Yewtukhiw, John H. Grove, A. C. Sant'anna, D. Mata-Padrino

Plant and Soil Sciences Faculty Publications

Soil Health research tends to bias to a biology/microbiology emphasis. We believe this bias neglects important physical and chemical interactions in soil that are crucial to soil function. We offer several examples illustrating this bias, and how it may misrepresent management practices that have the greatest influence on Soil Health. Four suggestions are given as approaches to mitigate this bias. By appreciating soil structure as a foundation for Soil Health and its microbial community, we believe better recommendations can be made to assist the farm community in its stewardship of soil as a critical natural resource.

Automatic Segmentation Of Sinkholes Using A Convolutional Neural Network, Muhammad Usman Rafique, Junfeng Zhu, Nathan Jacobs

Faculty, Staff, and Affiliated Publications--KGS

Sinkholes are the most abundant surface features in karst areas worldwide. Understanding sinkhole occurrences and characteristics is critical for studying karst aquifers and mitigating sinkhole-related hazards. Most sinkholes appear on the land surface as depressions or cover collapses and are commonly mapped from elevation data, such as digital elevation models (DEMs). Existing methods for identifying sinkholes from DEMs often require two steps: locating surface depressions and separating sinkholes from non-sinkhole depressions. In this study, we explored deep learning to directly identify sinkholes from DEM data and aerial imagery. A key contribution of our study is an evaluation of various ways …

A Preconditioning-Based Analysis For A Bakhvalov-Type Mesh, Thái Ahn Nhan, Vinh Mai

Mathematics and Computer Science

A new preconditioning-based parameter-uniform convergence analysis is presented for one-dimensional singularly perturbed convection-diffusion problems discretized by an upwind difference scheme on a Bakhvalov-type mesh. The proof technique utilizes the classical convergence principle: uniform stability and uniform consistency imply uniform convergence, which can only be used after applying an appropriate preconditioner to the discrete operator.

Automatic Segmentation Of Sinkholes Using A Convolutional Neural Network, Muhammad Usman Rafique, Junfeng Zhu, Nathan Jacobs

Computer Science Faculty Publications

Sinkholes are the most abundant surface features in karst areas worldwide. Understanding sinkhole occurrences and characteristics is critical for studying karst aquifers and mitigating sinkhole-related hazards. Most sinkholes appear on the land surface as depressions or cover collapses and are commonly mapped from elevation data, such as digital elevation models (DEMs). Existing methods for identifying sinkholes from DEMs often require two steps: locating surface depressions and separating sinkholes from non-sinkhole depressions. In this study, we explored deep learning to directly identify sinkholes from DEM data and aerial imagery. A key contribution of our study is an evaluation of various ways …

The Surface Conditions Of Spacecraft Panels May Significantly Affect Spacecraft Survivability, Trace Taylor

Research on Capitol Hill

USU junior Trace grew up in Brigham City and studies physics and electrical engineering. The majority of spacecraft failure is caused by electron charging on the outer surfaces of the craft. Additionally, contaminants on the craft can cause a film over surface panels, increasing the problem. Trace is studying how roughness on panels can mitigate this contamination as it affects the charging that can lead to craft failure. This research will help determine what optimal panel materials should be used in future spacecraft construction. Trace started research almost as soon as he came to campus in his freshman year, and …

Utah's Food Processing Industry Can Manufacture Products From Cbd-Containing Lipids That Have Superior Texture And Consistency, Joseph Cooney, Isaac Hilton

Research on Capitol Hill

Sophomore Joseph is an Honors student and Undergraduate Research Fellow studying physics. Freshman Isaac, of Kaysville, studies civil and environmental engineering. Joseph and Isaac are exploring how cannabinoids impact the way that lipids function. A common way CBD is packaged is within foods, where it is frequently added to fats like cocoa butter or palm oil, and as the market for such products increase producers need to understand CBD will change the behavior of the fats they are using.In addition to this work, Joseph also volunteers for a physics lab. “Undergraduate research has let me explore fields outside my major …

Understanding The Decline In Successful Cattle Pregnancies, Andre Tu Nguyen

Research on Capitol Hill

USU junior Andre, a local Loganer, studies computer science and biology.He has been working in an animal science lab. Over time, we have seen a decline in successful dairy cattle pregnancies. This is a huge cause for concern for Utah, with milk sales at an estimated value of $405 million in 2020. Andre’s work has been in studying a certain protein in pregnant cattle; now that he has determined there is a decrease in this protein over the course of the pregnancy, he hopes to see whether that might impact its viability. Andre got involved in research in a high …

Can Common Carp Removal Reduce Algal Bloom Intensity In Utah Lake?, Cristina Chirvasa

Research on Capitol Hill

USU sophomore Cristina is an Honors student, Undergraduate Research Fellow, and Community Engaged Scholar studying fisheries and wildlife. Cristina theorizes that removing over-populous carp from Utah Lake will allow larger zooplankton to thrive, which in turn will consume more algae and reduce algal bloom intensity. Her tests so far have proven the first part of her theory, as zooplankton size went up when she removed carp. Next, Cristina will test if bigger zooplankton eat more algae. Cristina credits her love of nature to growing up without enough wilderness in urban Romania. She moved to Utah both for access to our …

Melting Arctic Ice Exposes Possible Conflict For Us, China, Russia, Madeleine Alder

Research on Capitol Hill

USU senior Maddie, a Salt Lake City native, is an Honors student, Peak Summer Research Fellow, and USU Institute of Land, Water and Air intern. She studies Political Science. Maddie’s research dissects how rising temperatures and the resulting polar ice caps on our planet might impact international relations for the US. The opening of additional shipping lanes in previously-frozen waters could cause conflict between key actors. Maddie has been involved in research for nearly all of her undergrad degree, and says, “I love learning and I get excited to discover new connections between topics I am interested in. I like …

Precipitation Is A Strong Predictor Of Airborne Ammonia Levels., Bridger Jorgensen, Casey Olson, Connor Snow

Research on Capitol Hill

USU senior Connor has lived in the Uintah Basin all his life and studies kinesiology. Senior Casey, a Cache Valley native, studies climate science and works at the Utah Climate Center. Junior Bridger, also of Cache Valley, studies nutrition science. They led and funded this project through a student grant. Casey was alarmed by the ammonia data he was collecting at the Climate Center. “I immediately began to wonder how this issue would evolve over the coming decades.” The three teamed up to take a look at how Logan’s record-breaking amount of ammonia in our air is impacting those who …