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Articles 60271 - 60300 of 294412
Full-Text Articles in Physical Sciences and Mathematics
Factored Beliefs For Machine Agents In Decentralized Partially Observable Markov Decision Processes, Joshua A. Lapso, Gilbert L. Peterson
Factored Beliefs For Machine Agents In Decentralized Partially Observable Markov Decision Processes, Joshua A. Lapso, Gilbert L. Peterson
Faculty Publications
A shared mental model (SMM) is a foundational structure in high performing, task-oriented teams and aid humans in determining their teammate's goals and intentions. Higher levels of mental alignment between teammates can reduce the direct dialogue required for team success. For decision-making teams, a transactive memory system (TMS) offers team members a map of specialized knowledge, indicating source of knowledge and the source's credibility. SMM and TMS formulations aid human-agent team performance in their intended team types. However, neither improve team performance with a project team--one that requires both behavioral and knowledge integration. We present a hybrid cognitive model (HCM) …
The Efficacy Of The Covid-19 Vaccine In Mississippi, Ilyse Miriam Levy
The Efficacy Of The Covid-19 Vaccine In Mississippi, Ilyse Miriam Levy
Honors Theses
The Efficacy of The COVID-19 Vaccine in Mississippi
(Under the direction of Dr. Xin Dang)
By tracking and analyzing fifty-three weeks of COVID-19 data, this thesis analyzes the efficacy of the COVID-19 vaccine within the State of Mississippi. Over the course of these fifty-three weeks, I have also been able to calculate the confidence intervals for vaccination efficacy and the risk reduction due to vaccination by using data regarding the correlations between deaths and vaccination status, provided to me by the Mississippi Office of Epidemiology. My analysis demonstrates that the COVID-19 vaccine is effective not only in Mississippi but also …
Covalent Modification Of Recombinant Protein With Reactive Thiols, Sawyer Dulaney, Bailey Taylor
Covalent Modification Of Recombinant Protein With Reactive Thiols, Sawyer Dulaney, Bailey Taylor
Honors Theses
Many diseases cause chronic and painful inflammation in different body systems. One of the front-line drug classes to treat such inflammation is Nonsteroidal Anti-Inflammatory Drugs (NSAIDs). Despite the benefits of oral administration of NSAIDs, there are drawbacks to their long-term usage because they can cause detrimental effects on off-target systems in the body such as the liver, kidney, or the lining of the intestinal tract. An alternative to NSAIDs is the usage of hydrogels for targeted drug delivery. Hydrogels can provide drug delivery in a specific portion of the site of inflammation, thus allowing higher doses of medication to be …
The Design Of A Pcr-Based Assay To Detect And Isolate The Serine Palmitolytransferase Gene From Environmental Bacteria, Lana Taylor
Honors Theses
Sphingolipids are a natural class of lipids that function as structural elements of cell membranes and signaling molecules for important cellular activities such as cell growth, differentiation, apoptosis, recognition, and adhesion. These lipids can be found universally in eukaryotic cells as well as some species of bacteria, such as those found in the human gut microbiome and in the environment in soils. Though sphingolipid production is rare in bacteria, both eukaryotic and prokaryotic sphingolipid biosynthesis begin with the condensation of serine and palmitoyl CoA into 3-ketodihydrosphingosine catalyzed by the enzyme serine palmitoyltransferase (SPT). In recent years, several studies have shown …
Privacy Assessment Breakthrough: A Design Science Approach To Creating A Unified Methodology, Lisa Mckee
Privacy Assessment Breakthrough: A Design Science Approach To Creating A Unified Methodology, Lisa Mckee
Masters Theses & Doctoral Dissertations
Recent changes have increased the need for and awareness of privacy assessments. Organizations focus primarily on Privacy Impact Assessments (PIA) and Data Protection Impact Assessments (DPIA) but rarely take a comprehensive approach to assessments or integrate the results into a privacy risk program. There are numerous industry standards and regulations for privacy assessments, but the industry lacks a simple unified methodology with steps to perform privacy assessments. The objectives of this research project are to create a new privacy assessment methodology model using the design science methodology, update industry standards and present training for conducting privacy assessments that can be …
Galaxy And Mass Assembly (Gama): Self-Organizing Map Application On Nearby Galaxies, Benne W. Holwerda, Dominic Smith, Lori Porter, Chris Henry, Ren Porter-Temple, Kyle Cook, Kevin A. Pimbblet, Andrew M. Hopkins, Maciej Bilicki, Sebastian Turner, Viviana Acquaviva, Lingyu Wang, Angus H. Wright, Lee S. Kelvin, Meiert W. Grootes
Galaxy And Mass Assembly (Gama): Self-Organizing Map Application On Nearby Galaxies, Benne W. Holwerda, Dominic Smith, Lori Porter, Chris Henry, Ren Porter-Temple, Kyle Cook, Kevin A. Pimbblet, Andrew M. Hopkins, Maciej Bilicki, Sebastian Turner, Viviana Acquaviva, Lingyu Wang, Angus H. Wright, Lee S. Kelvin, Meiert W. Grootes
Faculty and Staff Scholarship
Galaxy populations show bimodality in a variety of properties: stellar mass, colour, specific star-formation rate, size, and Sérsic index. These parameters are our feature space. We use an existing sample of 7556 galaxies from the Galaxy and Mass Assembly (GAMA) survey, represented using five features and the K-means clustering technique, showed that the bimodalities are the manifestation of a more complex population structure, represented by between two and six clusters. Here we use Self-Organizing Maps (SOM), an unsupervised learning technique that can be used to visualize similarity in a higher dimensional space using a 2D representation, to map these 5D …
Automated Computer Network Exploitation With Bayesian Decision Networks, Graeme Roberts, Gilbert L. Peterson
Automated Computer Network Exploitation With Bayesian Decision Networks, Graeme Roberts, Gilbert L. Peterson
Faculty Publications
Penetration Testing (pentesting) is the process of using tactics and techniques to penetrate computer systems and networks to expose any issues in their cybersecurity \cite{rsa}. It is currently a manual process requiring significant experience and time that are in limited supply. One way to supplement the shortage is through automation. This paper presents the Automated Network Discovery and Exploitation System (ANDES) which demonstrates that it is feasible to automate the pentesting process. The uniqueness of ANDES is the use of Bayesian decision networks to represent the pentesting domain and subject matter expert knowledge. ANDES conducts multiple execution cycles, which build …
Search For Higgsinos Decaying To Two Higgs Bosons And Missing Transverse Momentum In Proton-Proton Collisions At √S = 13 Tev, A. Tumasyan
Department of Physics and Astronomy: Faculty Publications
Results are presented from a search for physics beyond the standard model in proton-proton collisions at √s = 13TeV in channels with two Higgs bosons, each decaying via the process H ⟶ b[], and large missing transverse momentum. The search uses a data sample corresponding to an integrated luminosity of 137 fb−1 collected by the CMS experiment at the CERN LHC. The search is motivated by models of supersymmetry that predict the production of neutralinos, the neutral partners of the electroweak gauge and Higgs bosons. The observed event yields in the signal regions are found to be consistent with …
The Lick Agn Monitoring Project 2016: Dynamical Modeling Of Velocity-Resolved Hβ Lags In Luminous Seyfert Galaxies, Lizvette Villafaña, Peter R. Williams, Tommaso Treu, Brendon J. Brewer, Aaron J. Barth, Vivian U, Vardha N. Bennert, H. Alexander Vogler, Hengxiao Guo, Misty C. Bentz
The Lick Agn Monitoring Project 2016: Dynamical Modeling Of Velocity-Resolved Hβ Lags In Luminous Seyfert Galaxies, Lizvette Villafaña, Peter R. Williams, Tommaso Treu, Brendon J. Brewer, Aaron J. Barth, Vivian U, Vardha N. Bennert, H. Alexander Vogler, Hengxiao Guo, Misty C. Bentz
Physics
We have modeled the velocity-resolved reverberation response of the Hβ broad emission line in nine Seyfert 1 galaxies from the Lick Active Galactic Nucleus (AGN) Monitoring Project 2016 sample, drawing inferences on the geometry and structure of the low-ionization broad-line region (BLR) and the mass of the central supermassive black hole. Overall, we find that the Hβ BLR is generally a thick disk viewed at low to moderate inclination angles. We combine our sample with prior studies and investigate line-profile shape dependence, such as log₁₀(FWHM/σ), on BLR structure and kinematics and search for any BLR luminosity-dependent trends. We …
Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Draft 2022 Residential Metals Abatement Program (Rmap) Field Sampling Plan (Fsp) – Indoor Dust – Group 4 – Monroe Head Start, Former Hawthorne School, Margaret Leary Elementary, And Ramsey Elementary (Dated April 26, 2022), Nikia Greene
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Abstract Argumentation And Answer Set Programming: Two Faces Of Nelson’S Logic, Jorge Fandinno, Luis Fariñas Del Cerro
Abstract Argumentation And Answer Set Programming: Two Faces Of Nelson’S Logic, Jorge Fandinno, Luis Fariñas Del Cerro
Computer Science Faculty Publications
In this work, we show that both logic programming and abstract argumentation frameworks can be interpreted in terms of Nelson’s constructive logic N4. We do so by formalising, in this logic, two principles that we call noncontradictory inference and strengthened closed world assumption: the first states that no belief can be held based on contradictory evidence while the latter forces both unknown and contradictory evidence to be regarded as false. Using these principles, both logic programming and abstract argumentation frameworks are translated into constructive logic in a modular way and using the object language. Logic programming implication and abstract argumentation …
Development Of An Analytical Method For Determination Of Lead And Cadmium In Biological Materials By Gfaas Using Escherichia Coli As Model Substance, Michelle Catherine Gende, Martina Schmeling
Development Of An Analytical Method For Determination Of Lead And Cadmium In Biological Materials By Gfaas Using Escherichia Coli As Model Substance, Michelle Catherine Gende, Martina Schmeling
Chemistry: Faculty Publications and Other Works
In this work, an analytical method was developed for the determination of lead and cadmium in biological samples using graphite furnace atomic absorption spectrometry. Escherichia coli (E. coli) was chosen as model substance for this purpose as it is readily available in most laboratories and can be quickly and easily prepared with a high turnaround rate. Four different sample preparation methods were initially evaluated with respect to percent recovery, limit of detection, and limit of quantification, and the most promising one was developed further. The final process involving microwave assisted digestion of the sample with nitric acid …
Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Draft 2022 Residential Metals Abatement Program (Rmap) Field Sampling Plan (Fsp) – Indoor Dust – Group 2 – West Elementary (Dated April 25, 2022), Nikia Greene
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Particle-In-Cell Simulations Of Ion Dynamics In A Pinched-Beam Diode, Jesse C. Foster, John W. Mcclory, S. B. B. Swanekamp, D. D. Hinshelwood, A. S. Richardson, Paul E. Adamson, J. W. Schumer, R. W. James, P. F. Ottinger, D. Mosher
Particle-In-Cell Simulations Of Ion Dynamics In A Pinched-Beam Diode, Jesse C. Foster, John W. Mcclory, S. B. B. Swanekamp, D. D. Hinshelwood, A. S. Richardson, Paul E. Adamson, J. W. Schumer, R. W. James, P. F. Ottinger, D. Mosher
Faculty Publications
article-in-cell simulations of a 1.6 MV, 800 kA, and 50 ns pinched-beam diode have been completed with emphasis placed on the quality of the ion beams produced. Simulations show the formation of multiple regions in the electron beam flow characterized by locally high charge and current density (“hot spots”). As ions flow through the electron-space-charge cloud, these hot spots electrostatically attract ions to produce a non-uniform ion current distribution. The length of the cavity extending beyond the anode-to-cathode gap (i.e., behind the cathode tip) influences both the number and amplitude of hot spots. A longer cavity length increases the number …
Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Draft 2022 Residential Metals Abatement Program (Rmap) Field Sampling Plan (Fsp) – Indoor Dust – Group 3 – Butte High School/Annex (Dated April 25, 2022), Nikia Greene
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Protecting Systems From Exploits Using Language-Theoretic Security, Prashant Anantharaman
Protecting Systems From Exploits Using Language-Theoretic Security, Prashant Anantharaman
Dartmouth College Ph.D Dissertations
Any computer program processing input from the user or network must validate the input. Input-handling vulnerabilities occur in programs when the software component responsible for filtering malicious input---the parser---does not perform validation adequately. Consequently, parsers are among the most targeted components since they defend the rest of the program from malicious input. This thesis adopts the Language-Theoretic Security (LangSec) principle to understand what tools and research are needed to prevent exploits that target parsers. LangSec proposes specifying the syntactic structure of the input format as a formal grammar. We then build a recognizer for this formal grammar to validate any …
Extending Tensor Virtual Machine To Support Deep-Learning Accelerators With Convolution Cores, Yanzhao Wang, Fei Xie
Extending Tensor Virtual Machine To Support Deep-Learning Accelerators With Convolution Cores, Yanzhao Wang, Fei Xie
Computer Science Faculty Publications and Presentations
Deep-learning accelerators are increasingly popular. There are two prevalent accelerator architectures: one based on general matrix multiplication units and the other on convolution cores. However, Tensor Virtual Machine (TVM), a widely used deep-learning compiler stack, does not support the latter. This paper proposes a general framework for extending TVM to support deep-learning accelerators with convolution cores. We have applied it to two well-known accelerators: Nvidia's NVDLA and Bitmain's BM1880 successfully. Deep-learning workloads can now be readily deployed to these accelerators through TVM and executed efficiently. This framework can extend TVM to other accelerators with minimum effort.
Establishing Trust In Vehicle-To-Vehicle Coordination: A Sensor Fusion Approach, Jakob Veselsky, Jack West, Isaac Ahlgren, George K. Thiruvathukal, Neil Klingensmith, Abhinav Goel, Wenxin Jiang, James C. Davis, Kyuin Lee, Younghyun Kim
Establishing Trust In Vehicle-To-Vehicle Coordination: A Sensor Fusion Approach, Jakob Veselsky, Jack West, Isaac Ahlgren, George K. Thiruvathukal, Neil Klingensmith, Abhinav Goel, Wenxin Jiang, James C. Davis, Kyuin Lee, Younghyun Kim
Computer Science: Faculty Publications and Other Works
Autonomous vehicles (AVs) use diverse sensors to understand their surroundings as they continually make safety- critical decisions. However, establishing trust with other AVs is a key prerequisite because safety-critical decisions cannot be made based on data shared from untrusted sources. Existing protocols require an infrastructure network connection and a third-party root of trust to establish a secure channel, which are not always available.
In this paper, we propose a sensor-fusion approach for mobile trust establishment, which combines GPS and visual data. The combined data forms evidence that one vehicle is nearby another, which is a strong indication that it is …
Hinged Temperature-Immune Self-Referencing Fabry–Pérot Cavity Sensors, Jeremiah C. Williams, Hengky Chandrahalim
Hinged Temperature-Immune Self-Referencing Fabry–Pérot Cavity Sensors, Jeremiah C. Williams, Hengky Chandrahalim
AFIT Patents
A passive microscopic Fabry-Pérot Interferometer (FPI) sensor includes a three-dimensional microscopic optical structure formed on a cleaved tip of the optical fighter using a two-photon polymerization process on a photosensitive polymer by a three-dimensional micromachining device. The three-dimensional microscopic optical structure having a hinged optical layer pivotally connected to a distal portion of a suspended structure. A reflective layer is deposited on a mirror surface of the hinged optical layer while in an open position. The hinged optical layer is subsequently positioned in the closed position to align the mirror surface to at least partially reflect a light signal back …
Markerless Tumor Tracking Using Kalman Filter And Deep Learning, Anisha Kapoor, Mark Albert
Markerless Tumor Tracking Using Kalman Filter And Deep Learning, Anisha Kapoor, Mark Albert
Computer Science Research Seminars and Symposia
According to the Center for Disease Control, more people die from lung cancer than any other cancer in the United States. A complication that arises from lung cancer treatment, radiation therapy, is radiation pneumonitis. Radiation pneumonitis can be fatal and affects over 23% of patients.
Clime: Command Line Metrics For Git Projects, Nicholas Synovic
Clime: Command Line Metrics For Git Projects, Nicholas Synovic
Computer Science Research Seminars and Symposia
Numerous efforts in repository mining have focused
on mining repositories and reporting basic metrics. Many efforts
are focused on being able to evaluate (or score) projects based
on these metrics. Yet little attention has been given to in-
process metrics, which are a critical tool for improving software
quality as agile projects become more established projects and
require regular maintenance. We present CLIME (Command Line
Metrics), a user-installable toolset for computing a wide variety
of classical and modern process metrics, including code size,
issue spoilage, issue/defect density, productivity, and bus factor.
CLIME also includes a tool to identify projects based …
Hydrodynamic Model For Independent Cold And Thermo-Mineral Twin Springs In A Stratified Continental Karst Aquifer, Camou, Arbailles Massif, Pyrénées, France, Philippe Audra, Jean-Yves Bigot, Dimitri Laurent, Nathalie Vanara, Didier Cailhol, Gérard Cazenave
Hydrodynamic Model For Independent Cold And Thermo-Mineral Twin Springs In A Stratified Continental Karst Aquifer, Camou, Arbailles Massif, Pyrénées, France, Philippe Audra, Jean-Yves Bigot, Dimitri Laurent, Nathalie Vanara, Didier Cailhol, Gérard Cazenave
International Journal of Speleology
The Camou springs (Arbailles Massif, French Western Pyrenees) display an unusual close association of a typically cold karstic spring that drains the Urgonian western limb of the Arbailles, and a thermo-mineral spring (33.5°C; salinity 17.7 g/L). The latter gains its mineralization at the contact of Triassic evaporites mainly through a deep loop in the Apanicé syncline. The fast upflow of this deep water occurs at the cross of large active lines (the North-Pyrenean thrust located at depth, and the Saison transverse fault). Cave diving in the nearby Maddalen Cave allowed reaching the phreatic passage at the origin of the cold …
Performance Comparison Between Relational And Non-Relational Databases In Tcms, Ahmad Yousef Imam
Performance Comparison Between Relational And Non-Relational Databases In Tcms, Ahmad Yousef Imam
Honors Capstone Projects and Theses
No abstract provided.
Topological Changes In The Magnetic Field Of Lq Hya During An Activity Minimum, Jyri J. Lehtinen, Maarit J. Käpylä, Thomas Hackman, Oleg Kochukhov, Teemu Willamo, Stephen C. Marsden, Sandra V. Jeffers, Gregory W. Henry, Lauri Jetsu
Topological Changes In The Magnetic Field Of Lq Hya During An Activity Minimum, Jyri J. Lehtinen, Maarit J. Käpylä, Thomas Hackman, Oleg Kochukhov, Teemu Willamo, Stephen C. Marsden, Sandra V. Jeffers, Gregory W. Henry, Lauri Jetsu
Information Systems and Engineering Management Research Publications
Aims. Previous studies have related surface temperature maps, obtained with the Doppler imaging (DI) technique, of LQ Hya with long-term photometry. Here, we compare surface magnetic field maps, obtained with the Zeeman Doppler imaging (ZDI) technique, with contemporaneous photometry, with the aim of quantifying the star’s magnetic cycle characteristics.
Methods. We inverted Stokes IV spectropolarimetry, obtained with the HARPSpol and ESPaDOnS instruments, into magnetic field and surface brightness maps using a tomographic inversion code that models high signal-to-noise ratio mean line profiles produced by the least squares deconvolution (LSD) technique. The maps were compared against long-term ground-based photometry acquired with …
Search For Heavy Resonances Decaying To A Pair Of Lorentz-Boosted Higgs Bosons In Final States With Leptons And A Bottom Quark Pair At √S = 13 Tev, A. Tumasyan
Department of Physics and Astronomy: Faculty Publications
A search for new heavy resonances decaying to a pair of Higgs bosons (HH) in proton-proton collisions at a center-of-mass energy of 13TeV is presented. Data were collected with the CMS detector at the LHC in 2016–2018, corresponding to an integrated luminosity of 138 fb−1. Resonances with a mass between 0.8 and 4.5TeV are considered using events in which one Higgs boson decays into a bottom quark pair and the other into final states with either one or two charged leptons. Specifically, the single-lepton decay channel HH ⟶ b[]WW* ⟶ b[]ℓvq[]' and the dilepton decay channels HH ⟶ …
Optical Vortex Generation Using 3-D Printed Reflection And Transmission Holograms, Tara R. Crowe
Optical Vortex Generation Using 3-D Printed Reflection And Transmission Holograms, Tara R. Crowe
Honors Capstone Projects and Theses
No abstract provided.
Seasonal Variations In Global Ionospheric Total Electron Content, Jason Knudsen
Seasonal Variations In Global Ionospheric Total Electron Content, Jason Knudsen
Physics Capstone Projects
As the Sun ionizes atoms and molecules in the Earth’s ionosphere, the region of atmosphere above approximately 100 km in altitude, the created ionization in this region affects many of the systems that we rely on in daily life. This includes cellular service, GPS navigation, weather forecasting, and credit card data. A good measure for the level of ionization in the ionosphere is total electron content (TEC), which is the number of electrons in a square column above a given geographic location. The TEC over a geographic location influences the propagation of radio waves that traverse that section of the …
Climate Justice In Engineering Education, Tyler J. Morgan, Donna Riley, Caroline M. Camfield
Climate Justice In Engineering Education, Tyler J. Morgan, Donna Riley, Caroline M. Camfield
Discovery Undergraduate Interdisciplinary Research Internship
The goal of this research is to design a learning module for Purdue first-year engineering (FYE) students to learn climate fundamentals, and the role of engineers in responding to climate justice challenges. There is a lack of climate material within these classes currently, leading to a lack of climate conscious engineers in the future. The project entailed reviewing and synthesizing a wide variety of previous research on climate change education in engineering, including key learning objectives and their assessment. Because one of the key foci of the first-year engineering sequence relates to data analysis and management, we focused our work …
Crowd-Machine Partnership On Road Infrastructure Quality Recognition And Resilience, Eric J. Thompson
Crowd-Machine Partnership On Road Infrastructure Quality Recognition And Resilience, Eric J. Thompson
Discovery Undergraduate Interdisciplinary Research Internship
Public roads are a vital component of modern-day society, as they are necessary for the transportation of people and capital; consequently, it is important that they are regularly and effectively maintained. Unfortunately, this maintenance is difficult to manage due to the sheer area that roads span. It is an arduous task to locate every instance of road damage, as well as to determine the urgency that each bit of damage necessitates. Repairing road damage has high costs in labor, time, and money. To provide a more efficient way to monitor road conditions, we are designing a mobile application that collects …
Hhl Algorithm On The Honeywell H1 Quantum Computer, Adrik B. Herbert, Eric A. F. Reinhardt
Hhl Algorithm On The Honeywell H1 Quantum Computer, Adrik B. Herbert, Eric A. F. Reinhardt
Discovery Undergraduate Interdisciplinary Research Internship
The quantum algorithm for linear systems of equations (HHL algorithm) provides an efficient tool for finding solutions to systems of functions with a large number of variables and low sensitivity to changes in inputs (i.e. low error rates). For complex problems, such as matrix inversion, HHL requires exponentially less computational time as compared with classical computation methods. HHL can be adapted to current quantum computing systems with limited numbers of qubits (quantum computation bits) but a high reusability rate such as the Honeywell H1 quantum computer. Some methods for improving HHL have been proposed through the combination of quantum and …