Physical Sciences and Mathematics Commons^™

Netsec: Real-Time And Scalable Malware Traffic Detection Within Iot Networks, Ethan Weitkamp, Yusuke Satani, Peilong Li, Jingwen Wang

Summer Scholarship, Creative Arts and Research Projects (SCARP)

Detecting malicious network traffic in real time has become a crucial requirement at smart communities for elderly care and medical facilities with the prevalence of Internet-of-things (IoT) devices. Existing machine learning based solutions for network traffic malware detection often fail to scale with the exponential increase of IoT devices at the facility and to detect malicious traffic with desirable low latency. In this paper we seek to fill the gap by designing a scalable end-to-end network traffic analyzing system that permits real-time malware detection. By leveraging distributed systems such as Apache Kafka and Apache Spark, the system has demonstrated scalable …

The Effectiveness Of Co-Taught Geometry Classes, Alesha Bowers

Master of Science in Mathematics

Ever-changing graduation requirements, along with other legislation involving students with disabilities, many schools have started implementing and pushing for more cotaught math classes if they have the means to do so. Certain schools have begun researching and experimenting with different types of co-teaching pairs and models for specific subject areas, including math. This research examines which type or types of students benefit the most from co-teaching in the geometry classroom setting, but also if schools are most effectively utilizing their teachers to receive the most success on the Geometry EOC AIR Assessment, by using Mixed models and Two-Way ANOVA techniques. …

Repercussions Of Multicollinearity In Binary Logistic Regression, Aaron Wayne Ghaner

Master of Science in Mathematics

The type I error rates for the binary logistic regression model were examined across varying levels of multicollinearity. Population data sets were created using the statistical software package R and then used to create data suitable for binary logistic regression models. The results showed the type I error rates did not differ across multicollinearity levels, the percentage of accurately classified cases were unaffected, and the variance inflation factors were affected by more than just correlation between the independent variables. These results show that multicollinearity may have limited effects on the type I error rates of the binary logistic regression model; …

The Mountain Gap Wind Of The Isthmus Of Tehuantepec And Its Impact On Tropical Cyclogenesis In The Eastern Pacific, Adolfo Lugo Rios

Atmospheric and Environmental Sciences Theses and Dissertations

In this dissertation we research two aspects of the mountain gap wind northerlies of the Isthmus of Tehuantepec in Southern Mexico. The causes of extreme gap wind northerlies, emphasizing the causes by tropical weather systems, like easterly waves troughs or hurricanes, and the impacts of an extreme gap wind events on tropical cyclogenesis.

Through the use of an index to diagnose the mountain gap wind strength, its evolution through the year and the mechanisms leading to extreme mountain gap winds was highlighted. The index revealed that the gap wind is strongly related to high surface pressure anomalies over the GoM …

Predicting Students’ Performance Using Growth Models, Sam Habach

Master of Science in Mathematics

This study examines the effectiveness of latent growth models for clustering middle school math students to predict the high school academic outcome, as measured by the number of AP STEM courses passed in high school. Middle school math performance is based on the 6th, 7th, and 8th grade Rhode Island Comprehensive Assessment System (RICAS) scores. The study also examines whether demographic factors can predict student performance clusters. These demographic factors are High-risk status (HAR), eligibility for a free lunch program (FRP), and/or an individualized learning plan (IEP). The study concluded that the students’ growth can be grouped into four clusters. …

Development And Characterization Of Germanium Detectors For Searching Rare-Event Physics, Rajendra Panth

Dissertations and Theses

High-purity germanium (HPGe) detector has an excellent energy resolution and low-energy detection threshold ideal for searching rare-event physics such as dark matter and neutrinoless double beta decay searches. Understanding the electrical contact properties and the Ge detector properties is key to enhancing the use of Ge detectors for a wide range of applications. Amorphous Ge (a-Ge) is one of the passivation materials used to passivate Ge detectors, which also provides the barrier height to the charge injection. Several a-Ge contact Ge detectors were fabricated and tested at the University of South Dakota (USD) and Max-Planck-Institut (MPI) für Physik in Munich …

Biodiversity In Residential Yards For Sustainability In Small Cities: Understanding Public Attitudes, Opportunities And Limitations In Vermillion, Sd, Rina Thapa

Dissertations and Theses

As urban areas are expanding with the growing size of human population, it is increasingly important to understand the role that residential yards can play in biodiversity conservation because they often comprise a large proportion of green spaces in cities. Most of the research performed to date on the role of residential yards in biodiversity conservation has been conducted in large cities. The role of residential yards in biodiversity conservation in small cities is still largely unknown. In this research, I discuss the relationship between biodiversity and the structure of green space, public attitudes towards the presence of wildlife, public …

2d Respiratory Sound Analysis To Detect Lung Abnormalities, Rafia Sharmin Alice

Dissertations and Theses

In this paper, we analyze deep visual features from 2D data representation(s) of the respiratory sound to detect evidence of lung abnormalities. The primary motivation behind this is that visual cues are more important in decision-making than raw data (lung sound). Early detection and prompt treatments are essential for any future possible respiratory disorders, and respiratory sound is proven to be one of the biomarkers. In contrast to state-of-the-art approaches, we aim at understanding/analyzing visual features using our Convolutional Neural Networks (CNN) tailored Deep Learning Models, where we consider all possible 2D data such as Spectrogram, Mel-frequency Cepstral Coefficients (MFCC), …

Ultraviolet Water Treatment, Danielle Dumnjak, Jerin Joy

Featured Student Work

Water treatment is a very important process for producing potable water safe for human consumption. A major step in water treatment is disinfecting it to remove water-borne pathogens to minimize the risk of diseases or infection. Although many chemical and physical methods exist, there is an increase in the use of UV radiation for water disinfection due to its advantages over traditional chemical disinfection methods like chlorination and ozonation.

The document will elaborate on the mechanism of UV disinfection and the pre-treatments required. Discuss the chemical treatment methods and compare them to UV disinfection. Consider sources of UV radiation, UV …

Bending Waves Excited By Irregular Gas Inflow Along Warps, Tigran Khachaturyants, Leandro Beraldo E Silva, Victor P. Debattista, Kathryne J. Daniel

Physics Faculty Research and Scholarship

Gaia has revealed clear evidence of bending waves in the vertical kinematics of stars in the solar neighbourhood. We study bending waves in two simulations, one warped, with the warp due to misaligned gas inflow, and the other unwarped. We find slow, retrograde bending waves in both models, with the ones in the warped model having larger amplitudes. We also find fast, prograde bending waves. Prograde bending waves in the unwarped model are very weak, in agreement with the expectation that these waves should decay on short, approximately crossing, time-scales, due to strong winding. However, prograde bending waves are much …

Ransombuster Iot: A Intrusion Detection And Dataset Creation Tool For Ransomware Attacks Within Iot Networks, Jackson M. Walker

Cybersecurity Undergraduate Research Showcase

The proposed research follows the design-science guidelines(Hevner, 2004). This paper uses these design-science methods for developing the guidelines for the implementation of the proposed architecture, understanding previous research contributions, and evaluating of research. This paper proposes a network artifact for studying ransomware IoT intrusion detection techniques and offers a proposed network architecture to serve as a framework for creating a publicly available dataset for IoT research on ransomware.

Peptidomics Analysis Reveals Changes In Small Urinary Peptides In Patients With Interstitial Cystitis/Bladder Pain Syndrome, Md Shadman Ridwan Abid, Haowen Qiu, Bridget Tripp, Aline De Lima Leite, Heidi E. Roth, Jiri Adamec, Robert Powers, James W. Checco

Chemistry Department: Faculty Publications

Interstitial cystitis/bladder pain syndrome (IC/BPS) is a chronic and debilitating pain disorder of the bladder and urinary tract with poorly understood etiology. A definitive diagnosis of IC/BPS can be challenging because many symptoms are shared with other urological disorders. An analysis of urine presents an attractive and non-invasive resource for monitoring and diagnosing IC/BPS. The antiproliferative factor (APF) peptide has been previously identified in the urine of IC/BPS patients and is a proposed biomarker for the disorder. Nevertheless, other small urinary peptides have remained uninvestigated in IC/BPS primarily because protein biomarker discovery efforts employ protocols that remove small endogenous peptides. …

Arkansas Bulletin Of Water Research - Issue 2021-2022, Erin Grantz, Lillie Haddock, Brian E. Haggard

Arkansas Bulletin of Water Research

The Arkansas Bulletin of Water Research (Bulletin) is a publication of the Arkansas Water Resources Center (AWRC). We publish the Bulletin to communicate the major findings of research funded by the Water Resources Research Act Section 104(b) in Arkansas. This research is relevant to Arkansas water stakeholders, and the Bulletin provides an easily searchable and aesthetically engaging access option.

This is the fourth publication of the Bulletin. This issue contains final reports from research projects that were funded by the 104(b) program in fiscal years 2019 and 2020. The articles in this issue can be cited as an AWRC publication. …

Unemployment Inequality, Dylan Visbara

Goal 1: No Poverty

No abstract provided.

2022 Wachapreague Station Tide Prediction Calendars, Virginia Institute Of Marine Science

Miscellaneous

No abstract provided.

2022 Gloucester Point Station Tide Prediction Calendars, Virginia Institute Of Marine Science

Miscellaneous

No abstract provided.

2022 Chesapeake Bay Bridge Tunnel Station Tide Prediction Calendars, Virginia Institute Of Marine Science

Miscellaneous

No abstract provided.

Sediment Survey: Yr061116, Station 3922, Clay Bank, York River Virginia, Grace M. Massey, Patrick J. Dickhudt, Carl T. Friedrichs

Data

This dataset consists of sediment properties including grain size distribution, percent moisture, percent organic matter, sediment bed erodibility, as well as (in most cases) x-ray images of the sediment structure. Most samples were taken in support of an Acoustic Doppler Velocimeter (ADV) tripod deployed in nearby location.

Tripod Deployment: Yr080623 To Yr080922, Adv, Clay Bank, York River Virginia, Grace M. Massey, Carl T. Friedrichs

Data

Dataset consists of burst data collected as part of a tripod deployment. The tripod included the following instruments: Acoustic Doppler Velocimeter (ADV), YSI6600 CTD, Sequoia LISST.

Sediment Survey: Yr110511, Station S4909-S4913, Clay Bank, York River Virginia, Grace M. Massey, Kelsey A. Fall, Carl T. Friedrichs

Data

This dataset consists of sediment properties including grain size distribution, percent moisture, percent organic matter, sediment bed erodibility, as well as (in most cases) x-ray images of the sediment structure. Most samples were taken in support of an Acoustic Doppler Velocimeter (ADV) tripod deployed in nearby location.

Giant Acoustically-Induced Synthetic Hall Voltages In Graphene, Pai Zhao, Chithra H. Sharma, Renrong Liang, Christian Glasenapp, Lev Mourokh, Vadim M. Kovalev, Patrick Huber, Marta Prada, Lars Tiemann, Robert H. Blick

Publications and Research

Any departure from graphene’s flatness leads to the emergence of artificial gauge fields that act on the motion of the Dirac fermions through an associated pseudomagnetic field. Here, we demonstrate the tunability of strong gauge fields in nonlocal experiments using a large planar graphene sheet that conforms to the deformation of a piezoelectric layer by a surface acoustic wave. The acoustic wave induces a longitudinal and a giant synthetic Hall voltage in the absence of external magnetic fields. The superposition of a synthetic Hall potential and a conventional Hall voltage can annihilate the sample’s transverse potential at large external magnetic …

Investigating The Uncertainties In Ct Non-Small Cell Lung Cancer Radiomics, Gary Ge

Theses and Dissertations--Radiation Medicine

Radiomics is a technique that extracts quantitative features, termed radiomic features, from medical images using data-characterization algorithms. These radiomic features can be used to identify tissue characteristics and radiologic phenotyping that are not observable by clinicians in a non-invasive, low-cost manner, potentially generating image biomarkers for clinical decision. To date, there are still many uncertainties involved in radiomics which limit its clinical implementation. Herein, we propose to explore the impact of each component in the radiomics pipeline on predicting clinical outcomes. In Chapter II, we conduct a thorough review of CT lung cancer radiomics studies to examine the typical feature …

Bat Activity On West Virginia Mined Lands Restored Via The Forestry Reclamation Approach, Briana C. Snyder

Theses and Dissertations--Forestry and Natural Resources

The Forestry Reclamation Approach (FRA) is a practical guide to reforesting surface mined lands. Bats, as a unique group of species with declining populations, could benefit from this reforestation. In order to determine if the FRA is providing suitable bat foraging habitat, I surveyed bat activity at created depressional wetlands on 1-year old and 8-year old FRA restored lands (FRA1; FRA8), as well as at naturally formed wetlands in regenerating forest on traditionally reclaimed mined land (~40 years old; REGEN) and wetlands in mature forest not previously mined (MAT). I passively recorded echolocation calls for 12 nights across sixteen sites …

Evaluating The Effectiveness Of Readiness Assurance Testing As Part Of Team-Based Ecology Instruction, Danielle Berger, Larkin Powell

School of Natural Resources: Faculty Publications

Readiness Assurance Testing (RAT) incorporates content recall, immediate feedback and peer instruction, three strategies known to enhance student learning, into a single classroom activity. While iRAT and tRAT assessments are promising instructional tools, they are time-intensive to administer.

1.Do iRAT/tRAT tests promote student retention of content better than other in-class activities, justifying the investment of instructional time? 2.Are iRAT/tRAT tests beneficial across the spectrum of academic performance?

• Students get a larger proportion of RAT questions correct on exams than other multiple choice questions (Table 1, RAT~MC Intercept), supporting the claim that this instructional technique provides better content-retention than other …

Phylogenetic Tests Of Models Of Viral Transmission, Robert M. Zink, Kenedi Holck, Grant L. Morgan

School of Natural Resources: Faculty Publications

The hunt for the immediate non-human host of SARS-CoV-2 has centered on bats of the genus Rhinolophus. We explored the phylogenetic predictions of two models of viral transmission, the SpilloverModel and the CirculationModel and suggest that the Spillover Model can be eliminated. The Circulation Model suggests that viral transmission occurs among susceptible hosts irrespective of their phylogenetic relationships. Susceptibility could be mediated by the ACE2 gene (important for viral docking) and we constructed a phylogeny of this gene for 159 mammal species, finding a phylogenetic pattern consistent with established mammalian relationships. The tree indicates that viral transfer occurs over …

Hurricanes Substantially Reduce The Nutrients In Tropical Forested Watersheds In Puerto Rico, Jiamei Sun, Xinyuan Wei, Yu Zhou, Catherine Chan, Jiaojiao Diao

School of Natural Resources: Faculty Publications

Because nutrients including nitrogen and phosphorus are generally limited in tropical forest ecosystems in Puerto Rico, a quantitative understanding of the nutrient budget at a watershed scale is required to assess vegetation growth and predict forest carbon dynamics. Hurricanes are the most frequent disturbance in Puerto Rico and play an important role in regulating lateral nitrogen and phosphorus exports from the forested watershed. In this study, we selected seven watersheds in Puerto Rico to examine the immediate and lagged effects of hurricanes on nitrogen and phosphorous exports. Our results suggest that immediate surges of heavy precipitation associated with hurricanes accelerate …

Monitoring Climate Impacts On Annual Forage Production Across U.S. Semi-Arid Grasslands, Markéta PodˇEbradská, Bruce K. Wylie, Deborah J. Bathke, Yared A. Bayissa, Devendra Dahal, Justin D. Derner, Philip A. Fay, Michael J. Hayes, Walter H. Schacht, Jerry D. Volesky, Pradeep Wagle, Brian D. Wardlow

School of Natural Resources: Faculty Publications

The ecosystem performance approach, used in a previously published case study focusing on the Nebraska Sandhills, proved to minimize impacts of non-climatic factors (e.g., overgrazing, fire, pests) on the remotely-sensed signal of seasonal vegetation greenness resulting in a better attribution of its changes to climate variability. The current study validates the applicability of this approach for assessment of seasonal and interannual climate impacts on forage production in the western United States semi-arid grasslands. Using a piecewise regression tree model, we developed the Expected Ecosystem Performance (EEP), a proxy for annual forage production that reflects climatic influences while minimizing impacts of …

A Unified Dataset Of Colocated Sewage Pollution, Periphyton, And Benthic Macroinvertebrate Community And Food Web Structure From Lake Baikal (Siberia), Michael F. Meyer, Ted Ozersky, Kara H. Woo, Kirill Shchapov, Aaron W. E. Galloway, Julie B. Schram, Daniel D. Snow, Maxim A. Timofeyev, Dmitry Yu. Karnaukhov, Matthew R. Brousil, Stephanie E. Hampton

School of Natural Resources: Faculty Publications

Sewage released from lakeside development can introduce nutrients and micropollutants that can restructure aquatic ecosystems. Lake Baikal, the world’s most ancient, biodiverse, and voluminous freshwater lake, has been experiencing localized sewage pollution from lakeside settlements. Nearby increasing filamentous algal abundance suggests benthic communities are responding to localized pollution. We surveyed 40-km of Lake Baikal’s southwestern shoreline from 19 to 23 August 2015 for sewage indicators, including pharmaceuticals, personal care products, and microplastics, with colocated periphyton, macroinvertebrate, stable isotope, and fatty acid samplings. The data are structured in a tidy format (a tabular arrangement familiar to limnologists) to encourage reuse. Unique …

Selection Of Landcover Types By Translocated Female Eastern Wild Turkeys In East Texas, Daniel J. Sullivan, Andrew R. Little, Micah L. Poteet, Michael J. Chamberlain

School of Natural Resources: Faculty Publications

Restoration of eastern wild turkeys (Meleagris gallopavo silvestris) is among the greatest conservation achievements in North America. However, restoration efforts in east Texas have had limited success, resulting in a fragmented distribution of turkeys across the landscape. Restoration success is largely dependent on the ability of translocated individuals to quickly select habitat patches on the landscape. Information on habitat selection of translocated wild turkeys is important to identify high quality release locations that should reduce the probability of translocation failure. Our objective was to describe selection of landcover types by translocated female wild turkeys in east Texas. During …

Tracking Spatial Regimes In Animal Communities: Implications For Resilience-Based Management, C. P. Roberts, D. Uden, C. Allen, D. G. Angler, L. A. Powell, B. Allred, J. D. Maestas, R. Twidwell Jr.

School of Natural Resources: Faculty Publications

No abstract provided.