Physical Sciences and Mathematics Commons^™

Understanding Continent-Wide Variation In Vulture Ranging Behavior To Assess Feasibility Of Vulture Safe Zones In Africa: Challenges And Possibilities, Adam Kane, Ara Monadjem, H. K.Ortwin Aschenborn, Keith Bildstein, André Botha, Claire Bracebridge, Evan R. Buechley, Ralph Buij, John P. Davies, Maria Diekmann, Colleen T. Downs, Nina Farwig, Toby Galligan, Gregory Kaltenecker, Chris Kelly, Ryno Kemp, Holger Kolberg, Monique L. Mackenzie, John Mendelsohn, Msafiri Mgumba, Ran Nathan, Aaron Nicholas, Darcy Ogada, Morgan Pfeiffer, W. Louis Phipps, Matteuns D. Pretorius, Sascha Rösner, Dana G. Schabo, Gabriel Lita Shatumbu, Orr Spiegel, Lindy J. Thompson, Jan A. Venter, Munir Virani, Kerri Wolter, Corinne J. Kendall

United States Department of Agriculture Wildlife Services: Staff Publications

Protected areas are intended as tools in reducing threats to wildlife and preserving habitat for their long-term population persistence. Studies on ranging behavior provide insight into the utility of protected areas. Vultures are one of the fastest declining groups of birds globally and are popular subjects for telemetry studies, but continent-wide studies are lacking. To address how vultures use space and identify the areas and location of possible vulture safe zones, we assess home range size and their overlap with protected areas by species, age, breeding status, season, and region using a large continent-wide telemetry datasets that includes 163 individuals …

Economic Consequences Of The Wolf Comeback In The Western United States, Dana Hoag, Stewart W. Breck, Kevin Crooks, Becky Niemiec

United States Department of Agriculture Wildlife Services: Staff Publications

Gray wolves were eradicated from most of the United States in the 1940’s but have made a comeback in parts of their historic range over the last two decades. First reintroduced into the Greater Yellowstone Ecosystem and central Idaho in the mid-1990’s, wolves have subsequently dispersed into at least 7 western states. Coloradoans became the latest state to take interest in bolstering wolf populations, as residents passed a ballot initiative in November 2020 to reintroduce a self-sustaining population of gray wolves by the end of 2023. Conflicts between people in rural areas that might incur costs (such as livestock loss) …

European Starling Use Of Nest Boxes Relative To Human Disturbance, Bradley Blackwell, Bruce N. Buckingham, Morgan B. Pfeiffer

United States Department of Agriculture Wildlife Services: Staff Publications

gars and to engine and flight surfaces of moored aircraft. We questioned whether consistent removal of nest material would negatively affect use of a nest site, measured by a reduction in material accumulation. We conducted our study on a 2,200-ha site in Erie County, Ohio, USA (41° 22’ N, 82° 41’ W), from April 15 through June 2, 2020. We used 120 wooden nest boxes on utility poles, protected by an aluminum predator guard below the box. Our treatments included (1) twice weekly, repeated nest material removal (RMR; n = 40 nest boxes); (2) complete nest removal, but only after …

Metal Free Bond Activation By Carboranyl Phosphines, Gayathri B. Gange

Theses and Dissertations

In the past few decades, main group-based catalysts have attracted increasing attention as an alternative approach to overcome the most prevailing issues of transition metal catalysts such as high cost, toxicity, and low abundance. Among these main groupbased catalysts, Phosphine based compounds have shown a variety of bond activations due to the strong nucleophilicity from their congener species. To the contrary, unique electron deficient boron-based clusters have the tendency to accept two electrons reversibly due to their electron deficiency. In this study, we have synchronized the electron donor ability of the phosphine with the electron acceptor ability of the ortho …

Application Of The Test For Memristor To Experimental Memory Devices, Jinsun Kim

Theses and Dissertations

In early seventies, the memristor was introduced as the fourth fundamental nonlinear two-terminal circuit element coupling the charge and flux by Dr. L. Chua. In 2008, the experimental discovery of the memristor was announced triggering significant interest in the development of resistance switching memory devices and their applications. According to Chua, the pinched hysteresis loop in the current-voltage characteristic of experimental memory devices is the fingerprint of memristors (“if it’s pinched it’s a memristor”). However, such loops are not an exclusive feature of memristors as they are also found in the response of other devices with memory that are not …

A Comparison Of Inference Methods In High-Dimensional Linear Regression, Imtiaz Ebna Mannan

Theses and Dissertations

Building confidence/credible intervals for the high-dimensional (p >> n) linear models have been the subject of exploration for many years. In this paper, we explore three specific setups. First, we look at the Bayesian paradigm for the LASSO model. A double-exponential prior has been applied to the regression coefficient and from that, a posterior distribution is derived to get the necessary quantiles to calculate the credible intervals for the regression coefficients. Second, we explore the de-sparsified LASSO estimates, and using its asymptotic normality, we calculate the confidence intervals for the model coefficients. Finally, we incorporate an adaptive LASSO model. To …

Well–Defined Donor–Acceptor Materials, Gabrielle A. Leith

Theses and Dissertations

The modularity of multivariant scaffolds such as covalent–organic frameworks (COFs) provides an unprecedented level of control in the alignment of donor (D) and acceptor (A) units, a demand that is driven by the production of optoelectronic, photonic, and spintronic devices. The foray into novel motifs bearing D-A ensembles in frameworks has been applied towards material property modulation for device performance enhancement. This dissertation presents an emerging trend in the development of D-A interfaces by highlighting recent advances probing D-A interactions in porous crystalline matrices and co-crystals, with a focus on energy transfer (ET) and charge transfer (CT) processes in pre-designed …

Photophysics And Electronic Properties Of Photochromic Metal-Organic Frameworks, Corey R. Martin

Theses and Dissertations

Modulation of materials properties through light-based illumination has the capability to expand the technology sector due to stimuli-responsive dynamic behavior that cannot be achieved in traditional materials. For example, reversibly tuning photophysical profiles of such materials allows for switching between discrete states that is a key aspect for the developing logic gates, spatially- and temporally-resolved sensors, and on-demand drug delivery systems. My efforts have focused on employment of metal-organic frameworks (MOFs) as a versatile platform for the material development which contain photochromic moieties allowing for tailoring their electronic properties. Our group has expanded this direction to include heterometallic and actinide-containing …

Sustainable Polymers: Upcycling Poly(Vinyl Chloride) And Mimicking Low Density Polyethylene, Ian Baxter

Theses and Dissertations

In this research, increasing the sustainability of polymers was investigated through two main methods. The upcycling of poly(vinyl chloride) and the creation of polymer mimics to create degradable low-density polyethylene. In the first chapter, an overview of the sustainability issues of polymers is presented and approaches are described on how their sustainability may be increased through the upcycling of polymers or the synthesis of degradable polymers that mimic the properties of petrol-based polymers.

Chapter 2 contains the progress on the upcycling of PVC using high oleic soybean oil. Soybean oil can soften PVC making it less brittle than pure PVC. …

A New Metaphor: How Artificial Intelligence Links Legal Reasoning And Mathematical Thinking, Melissa E. Love Koenig, Colleen Mandell

Marquette Law Review

Artificial intelligence’s (AI’s) impact on the legal community expands exponentially each year. As AI advances, lawyers have more powerful tools to enhance their ability to research and analyze the law, as well as to draft contracts and other legal documents. Lawyers are already using tools powered by AI and are learning to shift their methodologies to take advantage of these enhancements. To continue to grow into their shifting role, lawyers should understand the relationship between AI, mathematics, and legal reasoning.

The Role Of Physical Geographic Features In Video Games, Dexter Ferguson

Theses

This thesis examines how physical geographic features affect individuals when interacting with video game environments. There are very few studies on the geography of video games. I aim to bridge the gap between game studies and geography, a naturally occurring link. The observation of elements such as the geography of an area is critical when exploring an individual’s perception of a video game environment. Individuals interact with the geography of their location on a day-to-day basis, whether it be physical or human geography; how they can relate a video game’s geography to the real world dramatically affects their immersion. An …

A Damaged Reputation: Nuclear Depictions In Entertainment Media, Alexander Cannon

Chemistry & Biochemistry Student Scholarship

This paper, originally written for Dr. Adamus Liotta in an honors chemistry class, explores the possibility of a significant influence over public common sense found in the depictions of entertainment media. Through careful analysis and interpretation of Godzilla, The Simpsons, Fallout, and Call of Duty, this paper finds a synergy throughout this diverse range of audience, medium and historical origin, which culminates in an effect much greater than the sum of its parts. This effect frames nuclear science, of any kind, in a hyperbolically catastrophic and horrific light, reinforcing an excessively cautious, pessimistic public perspective on nuclear technology …

Experimental Insights Into The Origin Of Microcrystalline Calcites, Mohammed Hashim

Dissertations

A significant proportion of modern marine calcium carbonate sediments is dominated by metastable aragonite and high Mg calcite that either dissolves or stabilizes to low-Mg-calcite (calcite) or dolomite during diagenesis. Sediment dissolution and stabilization have implications for the CaCO3 budget in the ocean and carbon burial rates. Yet, the diagenetic conditions that promote each process and their relative importance are poorly understood. Further, stabilization most commonly produces calcite microcrystals that exhibit various textures and host micropores. Despite their ubiquity in the rock record, the controls on microcrystal textures remain unclear. Here, laboratory experiments were used to investigate aragonite-to-calcite stabilization as …

The Oldest Mineralized Bryozoan? A Possible Palaeostomate In The Lower Cambrian Of Nevada, Usa, Sara B. Pruss, Lexie Leeser, Emily F. Smith, Andrey Yu Zhuravlev, Paul D. Taylor

Geosciences: Faculty Publications

All skeletal marine invertebrate phyla appeared during the Cambrian explosion, except for Bryozoa with mineralized skeletons, which first appear in the Early Ordovician. However, the skeletal diversity of Early Ordovician bryozoans suggests a preceding interval of diversification. We report a possible earliest occurrence of palaeostomate bryozoans in limestones of the Cambrian Age 4 Harkless Formation, western United States. Following recent interpretations of the early Cambrian Protomelission as a soft-bodied bryozoan, our findings add to the evidence of early Cambrian roots for the Bryozoa. The Harkless fossils resemble some esthonioporate and cystoporate bryozoans, showing a radiating pattern of densely packed tubes …

Deep Convolutional Neural Network-Based System For Fish Classification, Ahmad Al Smadi, Atif Mehmood, Ahed Abugabah, Eiad Almekhlafi, Ahmad Mohammad Al-Smadi

All Works

In computer vision, image classification is one of the potential image processing tasks. Nowadays, fish classification is a wide considered issue within the areas of machine learning and image segmentation. Moreover, it has been extended to a variety of domains, such as marketing strategies. This paper presents an effective fish classification method based on convolutional neural networks (CNNs). The experiments were conducted on the new dataset of Bangladesh’s indigenous fish species with three kinds of splitting: 80-20%, 75-25%, and 70-30%. We provide a comprehensive comparison of several popular optimizers of CNN. In total, we perform a comparative analysis of 5 …

A Survey On Modern Deep Neural Network For Traffic Prediction: Trends, Methods And Challenges, David Alexander Tedjopumomo, Zhifeng Bao, Baihua Zheng, Farhana Murtaza Choudhury, Kai Qin

Research Collection School Of Computing and Information Systems

In this modern era, traffic congestion has become a major source of negative economic and environmental impact for urban areas worldwide. One of the most efficient ways to mitigate traffic congestion is through future traffic prediction. The field of traffic prediction has evolved greatly ever since its inception in the late 70s. Earlier studies mainly use classical statistical models such as ARIMA and its variants. Then, researchers started to focus on machine learning models due to their power and flexibility. As theoretical and technological advances emerge, we enter the era of deep neural network, which gained popularity due to its …

Super-High Resolution Imaging Using Easy Accessible Resources, Jamison Murphy

LMU/LLS Theses and Dissertations

Most generic systems and hardware for non-governmental users lack capability to process images in high resolution coming from aerial crafts such as satellites, drones, airplanes and helicopters. These images are being displayed in poor quality due to the software running on low budgets, which restricts the high resolution they need. In this project I researched ways to obtain super high resolution images from aerial crafts for low cost and compared which method works best in producing the clearest and fastest images. I connected with the Loyola Marymount University Marketing team to collaborate with their photographers in producing the best quality …

Search For Gravitational Waves Associated With Gamma-Ray Bursts Detected By Fermi And Swift During The Ligo–Virgo Run O3b, R. Abbott, T. D. Abbott, F. Acernese, K. Ackley, Teviet Creighton, Mario C. Diaz, F. Llamas, Soma Mukherjee, Volker Quetschke, Wenhui Wang

Physics and Astronomy Faculty Publications and Presentations

We search for gravitational-wave signals associated with gamma-ray bursts (GRBs) detected by the Fermi and Swift satellites during the second half of the third observing run of Advanced LIGO and Advanced Virgo (2019 November 1 15:00 UTC–2020 March 27 17:00 UTC). We conduct two independent searches: a generic gravitational-wave transients search to analyze 86 GRBs and an analysis to target binary mergers with at least one neutron star as short GRB progenitors for 17 events. We find no significant evidence for gravitational-wave signals associated with any of these GRBs. A weighted binomial test of the combined results finds no evidence …

Integrating Blockchains And Intelligent Agents In The Pursuit Of Artificial General Intelligence, Benjamin Fluharty

Senior Honors Theses

Artificial General Intelligence (AGI) is the next greatest technological milestone. AGI can be defined as a realized artificial intelligence (AI) with the ability to understand and solve problems of various scope within constantly changing environments. To take steps toward this goal, a baseline of information will be provided regarding surrounding topics and the current state of AGI, itself. Through the culmination of swarms of highly optimized narrow AI agents, a collaborative effort will be extended toward general intelligence. Blockchains have been selected to facilitate this connection. A software deliverable will accompany this thesis to illustrate how this idea might be …

General Purpose Computing On Graphics Processing Units For Accelerated Deep Learning In Neural Networks, Conor Helmick

Senior Honors Theses

Graphics processing units (GPUs) contain a significant number of cores relative to central processing units (CPUs), allowing them to handle high levels of parallelization in multithreading. A general-purpose GPU (GPGPU) is a GPU that has its threads and memory repurposed on a software level to leverage the multithreading made possible by the GPU’s hardware, and thus is an extremely strong platform for intense computing – there is no hardware difference between GPUs and GPGPUs. Deep learning is one such example of intense computing that is best implemented on a GPGPU, as its hardware structure of a grid of blocks, each …

Associations Among Plant-Based Dietary Indexes, The Dietary Inflammatory Index, And Inflammatory Potential In Female College Students In Saudi Arabia: A Cross-Sectional Study, Ghadeer S. Aljuraiban, Rachel Gibson, Leenah Al-Freeh, Sara Al-Musharaf, Nitin Shivappa Mbbs, Mph, Ph.D., James R. Hébert, Linda M. Oude, Queenie Chan

Faculty Publications

Background Saudi Arabian diets are transitioning to more Western dietary patterns that have been associated with higher levels of inflammation. Emerging evidence suggests plant-based diets are related to lower levels of inflammation; however, the definition of plant-based diets varies. Objective The purpose of this study was to identify the extent to which an overall Plant-Based Diet Index (PDI), Healthy-PDI (hPDI), and Unhealthy-PDI (uPDI) vs Energy-Adjusted Dietary Inflammatory Index correlate with high-sensitivity C-reactive protein (hs-CRP) level. Design This was a cross-sectional study carried out at King Saud University. Data on dietary intake, anthropometrics, and hs-CRP were collected. Participants/setting Female students aged …

Bright Light Treatment Of Combat-Related Ptsd: A Randomized Controlled Trial, Shawn D. Youngstedt, Christopher E. Kline, Alexandria Reynolds, Shannon K. Crowley, James B. Burch Ph.D., Nidha Khan, Seungyong Han

Faculty Publications

Introduction

Post-traumatic stress disorder (PTSD) is a prevalent consequence of combat with significant associated morbidity. Available treatments for PTSD have had limitations, suggesting a need to explore alternative or adjuvant treatments. Numerous rationales for bright light treatment of PTSD include its benefits for common PTSD comorbidities of depression, anxiety, and circadian misalignment and its relative ease of use with few side effects. The primary aims of this research were to examine the effects of bright light treatment for combat-related PTSD and associated morbidity. Materials and Methods

A randomized controlled trial was performed in N = 69 veterans with PTSD attributable …

Aerial Radiation Detection Identification And Measurement System Detector Material Comparison Study, Benjamin C. Troxell, Kacey D. Mcgee, Christina L. Dugan

Faculty Publications

The 20th Chemical Biological Radiological Nuclear and Explosives Command (CBRNE) currently utilizes an airborne sodium iodide gamma and beta detection system to map radiation fields over large areas of interest. The 20th CBRNE explored emergent detector technologies utilizing two detection materials; thallium-activated cesium iodide and high purity germanium (HPGe). These detectors were simulated at various altitudes and compared to background measurements. The sodium iodide detector failed to provide isotopic discrimination at distance. The thallium-activated cesium iodide CsI(Tl) detector provided sufficient absolute efficiency and energy resolution to identify isotopics at distance. The HPGe detector provided the best energy resolution. However, current …

Authenticated Key Establishment Protocol For Constrained Smart Healthcare Systems Based On Physical Unclonable Function, Abdalla Saleh Elkushli

Theses

Smart healthcare systems are one of the critical applications of the internet of things. They benefit many categories of the population and provide significant improvement to healthcare services. Smart healthcare systems are also susceptible to many threats and exploits because they run without supervision for long periods of time and communicate via open channels. Moreover, in many implementations, healthcare sensor nodes are implanted or miniaturized and are resource-constrained. The potential risks on patients/individuals’ life from the threats necessitate that securing the connections in these systems is of utmost importance. This thesis provides a solution to secure end-to-end communications in such …

Experiential Learning In Mathematics, Lara Speer '23

Posters

The United States lags behind many other developed countries in math skills. The root of the problem lies not in mathematics itself, but in the way the United States approaches teaching math through memorization. One alternative pedagogical method to memorization is experiential learning, which is the process during which students acquire new knowledge through experience and is meant to reflect the way people learn in the real world.

Bail Reform, Matthew Shang '22

Posters

The Public Safety Assessment (PSA) to assess the likelihood of pretrial risk. Then, the information is used to decide the conditions of release, including components like bail. The factors used are related only to age and criminal history. In short, the algorithm helps judges make more informed decisions.

Bias In Mortgage Approval Algorithms, Carter Steckbeck '22

Posters

In recent years, financial institutions are using machine learning algorithms for the mortgage approval process. Utilizing hundreds of complex variables, they decide whether an applicant gets approved. Recent studies have shown that people of color are disproportionately denied at higher rates for mortgages compared to White individuals.

The Effect Of Social Media On Polarization, John Burt '22

Posters

This poster attempts to look at the impact of social media on political polarization in the United States. Since the 2016 elections, there has been a shift in the political parties and their constituencies away from the center. Some have argued that a large part of this is due to the algorithms that social media use.

Is U.S. News College Ranking A Weapon Of Math Destruction?, Zhipeng Kui '22

Posters

This poster presents Cathy O’Neil’s arguments from her book Weapons of Math Destruction and connects them with Columbia’s ongoing ranking scandal to show why we should view U.S. News college ranking as a WMD.

Tips For Success In Math Courses, Joshua Horowitz '22

Posters

Five steps in the development process for succeeding in mathematics.