Physical Sciences and Mathematics Commons^™

Conserving Endangered Black-Footed Ferrets: Biological Threats, Political Challenges, And Lessons Learned, Travis M. Livieri, Steven C. Forrest, Marc R. Matchett, Stewart Breck

United States Department of Agriculture Wildlife Services: Staff Publications

There may be few stories in the annals of wildlife management that are as dramatic as the near demise and comeback of the black-footed ferret (Mustela nigripes). Endemic only to North America, this charming little carnivore found only in the continent’s central grasslands was hardly known to science until the mid-20th century. By then, vast colonies of the prey it depended on for food and shelter, the prairie dog (Cynomys spp.), had been wiped out through disease (sylvatic plague) and an agricultural industry with little tolerance for burrowing and grazing rodents. At its low point, the species’ …

Susceptibility Of Wild Canids To Sars-Cov-2, Stephanie M. Porter, Aim E. Hartwig, Helle Bielefeldt-Ohmann, Angela M. Bosco-Lauth, J. Jeffrey Root

United States Department of Agriculture Wildlife Services: Staff Publications

We assessed 2 wild canid species, red foxes (Vulpes vulpes) and coyotes (Canis latrans), for susceptibility to SARS-CoV-2. After experimental inoculation, red foxes became infected and shed infectious virus. Conversely, experimentally challenged coyotes did not become infected; therefore, coyotes are unlikely to be competent hosts for SARS-CoV-2.

Throughout the COVID-19 pandemic, multiple instances of natural infections with SARS-CoV-2 have been reported in pet dogs, likely after exposure to an infected human (1–3). Domestic dogs appear to be minimally susceptible to SARS-CoV-2, as indicated by experimental inoculations resulting in reverse transcription PCR–positive samples and low titer antibody responses but no clinical …

Predicting Consistent Foraging Ecologies Of Migrating Waterbirds: Using Stable Isotope And Parasite Measurements As Indicators Of Landscape Use, Kate L. Sheehan, Brian S. Dorr, Stephen A. Clements, Terrel W. Christie, Katie Hanson-Dorr, Scott A. Rush, J. Brian Davis

United States Department of Agriculture Wildlife Services: Staff Publications

The emergence of novel human pathogens is frequently linked with zoonotic events and human-wildlife interactions that promote disease transmission. Consequently, surveillance of wildlife populations for candidate diseases that could spread to humans is beneficial, but requires widespread collections of numerous samples. A legitimate means to acquire large sample sizes of waterfowl is through cooperation between researchers and hunters, who also work in concert with natural resource managers, landowners, and agricultural entities -e.g., aquaculture facilities. In addition to understanding the occurrence and spread of parasites and pathogens by birds, these samples can be used to answer questions about the ecology of …

Automatically Inferring Image Bases Of Arm32 Binaries, Daniel T. Chong

Browse all Theses and Dissertations

Reverse engineering tools rely on the critical image base value for tasks such as correctly mapping code into virtual memory for an emulator or accurately determining branch destinations for a disassembler. However, binaries are often stripped and therefore, do not explicitly state this value. Currently available solutions for calculating this essential value generally require user input in the form of parameter configurations or manual binary analysis, thus these methods are limited by the experience and knowledge of the user. In this thesis, we propose a user-independent solution for determining the image base of ARM32 binaries and describe our implementation. Our …

The Effect Of Interfacial Morphology On The Magnetic And Magnetocaloricproperties Of Ferromagnetic Nanoparticles With Core-Shell Geometry: A Montecarlo Study, Yusuf Yüksel

Turkish Journal of Physics

Within the framework of Monte Carlo simulations, we investigate the magnetic and magnetocaloric properties of a nanocomposite particle composed of ferromagnetic core and shell layers. We found that isothermal magnetic entropy change may exhibit two peaks associated to two different phase transitions of the core and shell layers. We paid particular attention to the microscopic details of the core/shell interface. Our results suggest that for the large values of the interface exchange coupling, the full width at half maximum is expanded at the expense of the low temperature peak of isothermal entropy change $ \Delta S_{M} $ whereas the high …

Scattering Of Kinks In Noncanonical Sine-Gordon Model, Ishmael Takyi, Benedict Barnes, Hoese Michel Tornyeviadzi, Joseph Ackora-Prah

Turkish Journal of Physics

In this paper, we numerically study the scattering of kinks in the noncanonical sine-Gordon model using Fourier spectral methods. The model depends on two free parameters, which control the localized inner structure in the energy density and the characteristics of the scattering potential. It has been conjectured that the kink solutions in the noncanonical model possess inner structures in their energy density, and the presence of these yields bound states and resonance structures for some relative velocities between the kink and the antikink. In the numerical study, we observed that the classical kink mass decreases monotonically as the free parameters …

Properties Of Doubly Heavy Baryons In Qcd, Takhmasib Aliyev, Selçuk Bi̇lmi̇ş

Turkish Journal of Physics

The study of the properties of doubly heavy baryons represents a promising area in particle physics. It can provide us with information about Cabibbo-Kobayashi-Maskawa (CKM) matrix elements and the low energy dynamics of QCD. They have a very rich phenomenology. The investigation of weak, electromagnetic, and strong decays has a vital importance for understanding the dynamics of doubly heavy baryons. The main ingredients of such studies are the spectroscopic parameters, the strong coupling constants, and the transition form factors. For calculations of these quantities, non-perturbative methods are needed. One of these methods is the QCD sum rules. In the present …

Predicting Outcomes Of El Clásico Using Random Forests And Extreme Gradient Boosting, Emanuel Jarquin

CMC Senior Theses

In the modern era, sports betting is becoming increasingly popular. This is especially true in the realm of soccer (or ‘football’ as it is known outside the United States). As a result, the concept of attempting to predict the outcomes of soccer matches using machine learning has garnered much attention in recent years. In this thesis, I utilize well-known machine learning techniques to predict the outcomes of El Clásico matchups and compare the predictive performance of these techniques. The predictive methods employed for this thesis are random forests using the party package in R and extreme gradient boosting using the …

Spatial Variability Of Silver Carp Population Demographics In A Large Tributary River, J. P. Werner, Q. J. Dean, Mark A. Pegg, M. J. Hamel

School of Natural Resources: Faculty Publications

No abstract provided.

An Evaluation Of Carbon Indicators Of Soil Health In Long-Term Agricultural Experiments, D. Liptzin, C. E. Norris, S. B. Cappellazzi, G. Macbean, Andrew E. Suyker Et Al.

School of Natural Resources: Faculty Publications

No abstract provided.

Polycentric Governance In Nebraska, U.S., For Ground And Surface Water, T. Jedd, A. Schutz, M. Burbach

School of Natural Resources: Faculty Publications

No abstract provided.

How Can Microgrids Help The Philippines’ Energy Transition? Adapting The Institutional Analysis And Development (Iad) Framework For Microgrid Development, John Charles A. Altomonte, Hannah Sofia Guinto

Environmental Science Faculty Publications

The Philippine energy sector remains plagued with issues of energy security, high electricity costs, and vulnerable grid infrastructure. This paper argues for the increased uptake of microgrids as a solution for these issues, using the Institutional Analysis and Development (IAD) Framework as a guide for microgrid policy. We begin this paper with an analysis of existing energy policies in the Philippines, highlighting a lacking integrated approach for energy security. The main discussion explores the IAD framework for microgrid development in the Philippines, identifying key barriers and dynamics among institutions and actors in the local energy sector. We then conclude with …

Island Stories: Mapping The (Im)Mobility Trends Of Slow Onset Environmental Processes In Three Island Groups Of The Philippines, Sonja Ayeb-Karlsson, Noralene Uy

Environmental Science Faculty Publications

There is an immediate lack of people-centred empirical evidence investigating how slow onset events influence human (im)mobility across the globe. This represents an important knowledge gap that makes it difficult for climate policy to safeguard vulnerable populations (whether on the move or left behind). In this study, 48 qualitative focus group discussions in the Philippines elaborated around people’s (im)mobility pathways in the context of slow onset events. The selected collective storytelling approach effectively mapped out the (im)mobility trends of 12 different origin- and destination locations involving the perceptions of 414 women and men across six provinces on Luzon, the Visayas …

Delivery With Uavs: A Simulated Dataset Via Ats, Giulio Rigoni, Cristina M. Pinotti, Bhumika, Debasis Das, Sajal K. Das

Computer Science Faculty Research & Creative Works

We consider a delivery food service operated by Unmanned Aerial Vehicles (UAVs). Due to the absence of a dataset on UAVs deliveries in the literature, and since it is not possible to perform real tests, we create a dataset using an open-Air Traffic Simulator (ATS). Precisely, we converted a set of food deliveries operated by wheeled vehicles, proposed in the literature [1], into a set of simulated UAVs deliveries. For each delivery, we ran a UAV flight from the source to the destination. The results showed that, as expected, the UAV's course is shorter than the vehicle trajectory on the …

Mdz: An Efficient Error-Bounded Lossy Compressor For Molecular Dynamics, Kai Zhao, Sheng Di, Danny Perez, Xin Liang, Zizhong Chen, Franck Cappello

Computer Science Faculty Research & Creative Works

Molecular dynamics (MD) has been widely used in today's scientific research across multiple domains including materials science, biochemistry, biophysics, and structural biology. MD simulations can produce extremely large amounts of data in that each simulation could involve a large number of atoms (up to trillions) for a large number of timesteps (up to hundreds of millions). In this paper, we perform an in-depth analysis of a number of MD simulation datasets and then develop an efficient error-bounded lossy compressor that can significantly improve the compression ratios. The contributions are fourfold. (1) We characterize a number of MD datasets and summarize …

Privacy-Preserving Data Falsification Detection In Smart Grids Using Elliptic Curve Cryptography And Homomorphic Encryption, Sanskruti Joshi, Ruixiao Li, Shameek Bhattacharjee, Sajal K. Das, Hayato Yamana

Computer Science Faculty Research & Creative Works

In an advanced metering infrastructure (AMI), the electric utility collects power consumption data from smart meters to improve energy optimization and provides detailed information on power consumption to electric utility customers. However, AMI is vulnerable to data falsification attacks, which organized adversaries can launch. Such attacks can be detected by analyzing customers' fine-grained power consumption data; however, analyzing customers' private data violates the customers' privacy. Although homomorphic encryption-based schemes have been proposed to tackle the problem, the disadvantage is a long execution time. This paper proposes a new privacy-preserving data falsification detection scheme to shorten the execution time. We adopt …

Toward Feature-Preserving Vector Field Compression, Xin Liang, Sheng Di, Franck Cappello, Mukund Raj, Chunhui Liu, Kenji Ono, Zizhong Chen, Tom Peterka, Hanqi Guo

Computer Science Faculty Research & Creative Works

The objective of this work is to develop error-bounded lossy compression methods to preserve topological features in 2D and 3D vector fields. Specifically, we explore the preservation of critical points in piecewise linear and bilinear vector fields. We define the preservation of critical points as, without any false positive, false negative, or false type in the decompressed data, (1) keeping each critical point in its original cell and (2) retaining the type of each critical point (e.g., saddle and attracting node). The key to our method is to adapt a vertex-wise error bound for each grid point and to compress …

Message From The Bits 2022 Workshop Co-Chairs, Sajal K. Das, Hayato Yamana, Keiichi Yasumoto, Shameek Bhattacharjee

Computer Science Faculty Research & Creative Works

No abstract provided.

Does Fire And Herbicide Benefit Cattle Production In Invaded Grassland Landscapes?, N. A. Mcmillan, S. D. Fuhlendorf, L. E. Goodman, C. A. Davis, B. Luttbeg, R. G. Hamilton

School of Natural Resources: Faculty Publications

No abstract provided.

A Multidisciplinary Collaboration Between Graphic Design And Physics Classes Responding To Covid-19, Szilvia Kadas, Eric M. Edlund

The SUNY Journal of the Scholarship of Engagement: JoSE

Students from graphic design and physics classes at SUNY Cortland collaborated during the spring semester of 2020 on a multidisciplinary project related to the COVID-19 pandemic. In these collaborations, the students’ individual contributions were part of a larger project that required a diverse skill set, through which students learned how different skills can complement their own disciplines. The graphic design and physics instructors applied a project-based learning philosophy applying the Common Problem Pedagogy (CPP) framework to construct student-teams composed of both disciplines. This project explored how coordinated social actions can allow the public to exercise control in uncertain times. Students …

The Stadyn Programming Language, Francisco Ortin, Miguel Garcia, Baltasar Garcia Perez-Schofield, Jose Quiroga

Department of Mathematics Publications

Hybrid static and dynamic typing languages are aimed at combining the benefits of both kinds of languages: the early type error detection and compile-time optimizations of static typing, together with the runtime adaptability of dynamically typed languages. The StaDyn programming language is a hybrid typing language, whose main contribution is the utilization of the type information gathered by the compiler to improve compile-time error detection and runtime performance. StaDyn has been evaluated as the hybrid typing language for the .Net platform with the highest runtime performance and the lowest memory consumption. Although most optimizations are performed statically by the compiler, …

Processperformance: A Portable And Easy-To-Use Tool To Measure Resource Consumption Of Running Processes, Miguel Garcia, Jose Quiroga, Francisco Ortin

Department of Mathematics Publications

The measurement of the resources consumed by an application at runtime is an important task in different scenarios such as program optimization, malware and bug detection, and hardware scaling. Although different tools exist for this purpose, they sometimes show some limitations such as operating system and hardware dependencies, performance overhead, and usage complexity. For this reason, we create ProcessPerformance, a portable and easy-to-use command-line tool that provides information about the CPU, memory, and network resources consumed by any combination of running processes. It also avoids the performance overhead caused by software and binary code injection.

Quasi-Spherical Absorbing Receiver Model Of Glioblastoma Cells For Exosome-Based Molecular Communications, Caio Fonseca, Michael Taynan Barros, Andreani Odysseos, Srivatsan Kidambi, Sasitharan Balasubramaniam

School of Computing: Faculty Publications

In this paper, we propose a mathematical and computational model for the GBM initiating of recurring focus as a quasi-spherical absorbing receiver considering the irregular shape as a Bernoulli trial process that accounts for the uncontrollable tumor growth over an initial spherical surface. Our results show that when GBM grow to irregular quasi-sphere shapes, they will increase the channel capacity, which is fully aligned with the evolution and configuration of GSC niches in GBM cultures.

Real-Time Dynamic Map With Crowdsourcing Vehicles In Edge Computing, Qiang Liu, Tao Han, Jiang (Linda) Xie, Baekgyu Kim

School of Computing: Faculty Publications

Autonomous driving perceives surroundings with line-of-sight sensors that are compromised under environmental uncertainties. To achieve real time global information in high definition map, we investigate to share perception information among connected and automated vehicles. However, it is challenging to achieve real time perception sharing under varying network dynamics in automotive edge computing. In this paper, we propose a novel real time dynamic map, named LiveMap to detect, match, and track objects on the road. We design the data plane of LiveMap to efficiently process individual vehicle data with multiple sequential computation components, including detection, projection, extraction, matching and combination. We …

Mr-Pipa: An Integrated Multi-Level Rram (Hfox) Based Processing-In-Pixel Accelerator, Minhaz Abedin, Arman Roohi, Maximilian Liehr, Nathaniel Cady, Shaahin Angizi

School of Computing: Faculty Publications

This work paves the way to realize a processing-in-pixel accelerator based on a multi-level HfO_x RRAM as a flexible, energy-efficient, and high-performance solution for real-time and smart image processing at edge devices. The proposed design intrinsically implements and supports a coarse-grained convolution operation in low-bit-width neural networks leveraging a novel compute-pixel with non-volatile weight storage at the sensor side. Our evaluations show that such a design can remarkably reduce the power consumption of data conversion and transmission to an off-chip processor maintaining accuracy compared with the recent in-sensor computing designs. Our proposed design, namely MR-PIPA, achieves a frame rate …

Decision-Theoretic Planning With Communication In Open Multiagent Systems, Anirudh Kakarlapudi, Gayathri Anil, Adam Eck, Prashant Doshi, Leen-Kiat Soh

School of Computing: Faculty Publications

In open multiagent systems, the set of agents operating in the environment changes over time and in ways that are nontrivial to predict. For example, if collaborative robots were tasked with fighting wildfires, they may run out of suppressants and be temporarily unavailable to assist their peers. Because an agent’s optimal action depends on the actions of others, each agent must not only predict the actions of its peers, but, before that, reason whether they are even present to perform an action. Addressing openness thus requires agents to model each other’s presence, which can be enhanced through agents communicating about …

High Throughput Analysis Of Leaf Chlorophyll Content In Sorghum Using Rgb, Hyperspectral, And Fluorescence Imaging And Sensor Fusion, Huichun Zhang, Yufeng Ge, Xinyan Xie, Abbas Atefi, Nuwan Wijewardane,, Suresh Thapa

School of Computing: Faculty Publications

Leaf chlorophyll content plays an important role in indicating plant stresses and nutrient status. Traditional approaches for the quantification of chlorophyll content mainly include acetone ethanol extraction, spectrophotometry and high-performance liquid chromatography. Such destructive methods based on laboratory procedures are time consuming, expensive, and not suitable for high-throughput analysis. High throughput imaging techniques are now widely used for non-destructive analysis of plant phenotypic traits. In this study three imaging modules (RGB, hyperspectral, and fluorescence imaging) were, separately and in combination, used to estimate chlorophyll content of sorghum plants in a greenhouse environment. Color features, spectral indices, and chlorophyll fluorescence intensity …

Infrared Dielectric Functions And Brillouin Zone Center Phonons Of Α-Ga2O3 Compared To Α-Al2O3, Megan Stokey, Rafal Korlacki, Matthew J. Hilfiker, Sean Knight, Steffen Richter, Vanya Darakchieva, Riena Jinno, Yongjin Cho, Huili Grace Xing, Debdeep Jena, Yuichi Oshima, Kamruzzaman Khan, Elaheh Ahmadi, Mathias Schubert

Department of Electrical and Computer Engineering: Faculty Publications

We determine the anisotropic dielectric functions of rhombohedral α-Ga₂O₃ by far-infrared and infrared generalized spectroscopic ellipsometry and derive all transverse optical and longitudinal optical phonon mode frequencies and broadening parameters. We also determine the high-frequency and static dielectric constants. We perform density functional theory computations and determine the phonon dispersion for all branches in the Brillouin zone, and we derive all phonon mode parameters at the Brillouin zone center including Raman-active, infrared-active, and silent modes. Excellent agreement is obtained between our experimental and computation results as well as among all previously reported partial information from experiment …

Investigating The Impacts Of Microgravity On Methanotrophic Bacteria Metabolism For Methane Gas Oxidation, Daisy Li, Elena Zhu, Stella Ristic '25, Joshua Suarez

Distinguished Student Work

An abundance of waste methane gas is produced on the International Space Station (ISS) as a result of the Sabatier Reaction, a part of the Environmental Control and Life Support System (ECLSS). In order to manage this organic waste, this experiment seeks to understand how microgravity impacts the methane-oxidizing metabolism of methanotrophic bacteria, namely Methylorubrum podarium. As methanotrophs have never been studied in space, this investigation may unlock a novel understanding of their behavior in microgravity, leading to promising future applications such as improved life support systems in deep space. In this experiment, cameras will capture snapshots of the bacterial …

Artistic Sensibility Is Inherent To Research, Benjamin Charles Ingman

Center for Rural School Health and Education: Faculty Scholarship

Artistic sensibility is defined in this work as the sensitivity and capacity to appreciate and act upon concerns of or pertaining to art and its production. This article contends that artistic sensibility is inherent to research. This contention is supported through three points which reveal a fourth: (1) Research requires dissemination. (2) Dissemination requires representation. (3) Representation requires artistic sensibility. These three points considered in conjunction illustrate a fourth: (4) Research requires artistic sensibility. This argument has implications for research venues, evaluations of research, and the preparation of researchers in all research disciplines. Namely, certain tenets of arts-based research may …