Digital Commons Network^™

Room-Temperature Crystallography Reveals Altered Binding Of Small-Molecule Fragments To Ptp1b, Tamar Skaist Mehlman, Justin T. Biel, Syeda Maryam Azeem, Elliot R. Nelson, Sakib Hossain, Louise Dunnett, Neil G. Paterson, Alice Douangamath, Romain Talon, Danny Axford, Helen Orins, Frank Von Delft, Daniel A. Keedy

Advanced Science Research Center

Much of our current understanding of how small-molecule ligands interact with proteins stems from X-ray crystal structures determined at cryogenic (cryo) temperature. For proteins alone, room-temperature (RT) crystallography can reveal previously hidden, biologically relevant alternate conformations. However, less is understood about how RT crystallography may impact the conformational landscapes of protein-ligand complexes. Previously, we showed that small-molecule fragments cluster in putative allosteric sites using a cryo crystallographic screen of the therapeutic target PTP1B (Keedy et al., 2018). Here, we have performed two RT crystallographic screens of PTP1B using many of the same fragments, representing the largest RT crystallographic screens of …

2023 Conference Schedule, Georgia Southern University

SoTL Commons Conference

Virtual Schedule Link: https://sotlcommons2023.sched.com/

Fostering Career Readiness Among Biology Students Taking A Research Course In Diagnostic Parasitology, Alexa Von Dohlen

SoTL Commons Conference

No abstract provided.

First Use Of A Longitudinally Polarized Target With Clas12, C. D. Keith, J. Brock, C. Carlin, T. Kageya, V. Lagerquist, J. Maxwell, P. Pandey

Physics Faculty Publications

Run Group C comprises eight experiments utilizing the CLAS12 detector system in Hall B at Jefferson Lab to study the multidimensional partonic structure of nucleons. The experiments scatter electrons from polarized protons and neutrons in samples of solid NH3 and ND3, dynamically polarized at a temperature of 1 K in a 5 T magnetic field. After a brief description of the target system, the current status of the target and preliminary results of its performance in the experiment are presented.

The Influence Of Uae Schools Initiatives On High-School Students’ Stem Career Aspirations, Areej Elsayary

All Works

Students’ science, technology, engineering, and mathematics (STEM) career aspirations are influenced by the cultural, cognitive, and contextual factors that affect their self-efficacy, outcomes, expectation, motivation, interests, and choices (Lent et al., 1994). This study investigates the influence of the United Arab Emirates (UAE) schools on high school students’ STEM career aspirations. UAE schools are considered the cultural factor, where many new initiatives and policies take place, such as the science, technology, and innovation policy and new high school equivalency policy. In this study, the students’ STEM career aspirations involved the cognitive factor and the contextual factor. The participants were high …

Dynamic Spillovers And Portfolio Implication Between Green Cryptocurrencies And Fossil Fuels, Zaghum Umar, Sun Yong Choi, Tamara Teplova, Tatiana Sokolova

All Works

Are green investments decoupled from the dirty investment such as the fossil fuel markets? We address this issue by extending the literature on environmental, social, and governance (ESG) assets by examining the dynamic relationship between fossil fuels and digital ESG assets proxied by green cryptocurrencies using the TVP-VAR(Time-varying parameter vector auto regression) spillover framework. Furthermore, we analyze the hedging attributes of green cryptocurrencies and fossil fuels in a minimum connectedness framework. The main findings are as follows: First, green cryptocurrencies are the main shock transmitters in all asset systems. Second, the dynamic connectedness between green cryptocurrencies and fossil fuels increased …

A “Post” Pandemic(S) Village Check-In: Pulse Checks And Recommendations For A Hard Re-Set In Education, Jarvais J. Jackson, Alesia Mickle Moldavan, Anne Valauri

Elementary & Special Education: Faculty Publications

Utilizing the lens of the “pandemic as portal” (Roy, 2020; Souto-Manning, 2021) and the need for a “hard re-set” (Ladson-Billings, 2021) of our current education system, this literature synthesis engages with head, health, and home to consider what a new normal could look like as we take a “village check-in” of each area. For head, we consider the systemic barriers to equitable academic achievement that have long been in place for Black and Brown students. When considering health, we look at the impact of the pandemic on teacher well-being and how this may impact their ability to teach effectively and …

Experiences Of African American Students In A Stem-Focused Community Program, Angela Blount

Walden Dissertations and Doctoral Studies

The United States has invested millions of dollars in STEM program initiatives; however, African Americans in STEM career fields are underrepresented. The purpose of this qualitative hermeneutic phenomenological study aimed to explore the lived experiences of African-American first-year college students from rural communities in a STEM program and whether their experiences influenced their decision to pursue a STEM major in college. Spencer’s phenomenological variant of ecological systems theory (PVEST) was used to frame the study. Data were collected from semistructured interviews with eight African American first-year college students from rural communities. Coding analysis involved identifying meaning units and situated narratives …

Strengthening Of Damaged Structural Members With External Frp, Krishna Tulasi Gadde

Graduate Theses, Dissertations, and Problem Reports (ETD)

Fiber reinforced polymer (FRP) composites are excellent alternatives to traditional materials for civil infrastructure. Several researchers have worked on the application of FRP composites for construction, repair, and rehabilitation of structures. This research aims at evaluating the use of carbon, glass, basalt, and hybrid FRPs with epoxy and polyurethane resin systems for rehabilitation of damaged structural components. Following evaluations were carried out in this research: (i) tension testing of FRP coupons, (ii) compression testing of concrete cylinders with and without damaged sections/FRP reinforcements, (iii) flexural testing of external-FRP reinforced RC beams with and without damages, (iv) pull-off tests on FRP …

Evaluating Electrification Of Fossil Fuel-Fired Boilers For Decarbonization Using Discrete Event Simulation, Nahian Ismail Chowdhury

Graduate Theses, Dissertations, and Problem Reports (ETD)

Decarbonizing fossil fuel usage is crucial in mitigating the impacts of climate change. CO2, which comprises the major portion of greenhouse gas, is emitted from burning fossil fuels. One of the significant sources of fossil fuel user is industrial process heating, and most of the heating in industrial processes is achieved through boilers. Electrification is a promising solution for decarbonizing these boilers, as it enables renewable energy sources to generate electricity, which can then be used to power the electric boilers. The electrification of boilers can reduce greenhouse gas emissions, improve air quality, and increase energy efficiency. However, it requires …

Strengthening The Interpretation Of Glass And Paint Evidence Through The Study Of Random Frequency Of Occurrence And Analytical Information, Lauryn C. Alexander

Graduate Theses, Dissertations, and Problem Reports (ETD)

Glass and paint particles are frequently discovered at crime scenes as valuable trace evidence. Often, these fragments are transferred from a crime scene to a victim or person-of-interest, and can subsequently be evaluated, analyzed, and classified according to their physical and optical measurements, and chemical properties, each of which can provide important information to the analyst to assist in the determining if a recovered particle is distinguishable or indistinguishable from a known source. Moreover, these minute materials can provide information about how the events took place, leading to the reconstruction of crime scenes and the identification of valuable clues for …

Feature Extraction Of Footwear Impression Images For Quality Assessment, Alexandra Hill

Graduate Theses, Dissertations, and Problem Reports (ETD)

Forensic footwear impression analysis is a valuable tool in criminal investigations. Extracting useful features from images of footwear impressions is a critical step in this process. However, the quality of these images can vary widely, making feature extraction challenging. In order to give a quality assessment rating to a footwear impression image, the image should first be analyzed to extract features from the impression. In this paper, we present a method to extract features from a 2D grayscale footwear impression image. A Hierarchical Grid Model implementation has been adapted from use on a 3D dataset to assist in finding features, …

Visual Sensing For Comprehensive Granular Traffic Data Collection In Support Of Intelligent Transportation Applications, Linjun Lu

Graduate Theses, Dissertations, and Problem Reports (ETD)

Comprehensive granular traffic data collection has been identified as one of the most essential tasks in the development of intelligent transportation systems (ITS). With the recent advances in electro-optical sensors and computational capacities, machine vision is regarded as cost-efficient for traffic data collection. However, the existing vision-based methods are only applicable for collecting limited types of traffic data, and a unified method allowing for comprehensive traffic data collection is still missing in the existing literature. Moreover, there are still challenges that exist for the use of the existing vision-based methods in real settings, including low accuracy and compromised applicability due …

An Empirical Analysis Of Algorithms For Simple Stochastic Games, Cody William Klingler

Graduate Theses, Dissertations, and Problem Reports (ETD)

This thesis presents the findings of a computational study on algorithms for Simple Stochastic Games (SSG). Simple Stochastic Games are a restriction of the Shapley stochastic model motivated by their applications in AI planning, logic synthesis, and theoretical computer science. This thesis seeks to empirically assess the performance of these algorithms to compensate for their lack of strong complexity results. Where applicable, we include both variations of algorithms where stable strategies are computed by a linear-programming and naive approach. These algorithms are evaluated on random inputs, in addition to specific difficult cases that were identified experimentally. We are interested in …

"Sidetreks", The Commercial Appeal's Weekend Living, Issue 3, 1981?

Publications

Booklet, "Sidetreks: Weekend Trips From...The Commercial Appeal's Weekend Living", Issue 3, 1981?

"This third offering, like the others, is designed to provide minivacations for area residents. There are 10 new treks in this book. Each trip can make an easy three-day weekend, with most designed for a Saturday and Sunday getaway. Most call for less than a half-day's driving. The areas recommended are rich in history, scenic beauty and places to have a good time and enjoy recreation and entertainment."

Tennessee's Economy 2021-2022, Tennessee. Department Of Labor & Workforce Development.

Tennessee's Economy

No abstract provided.

Teen Appeal, Memphis, 02.08, 1999

Documents

Issue 2:8 of the “Teen Appeal” published by the University of Memphis Journalism Department and Commercial Appeal, Memphis, Tennessee, on May 25, 1999.

Teen Appeal, Memphis, 08:01, 2004

Documents

Issue 8:1 of the “Teen Appeal” published by the University of Memphis Journalism Department and Commercial Appeal, Memphis, Tennessee, on September 7, 2004.

Teen Appeal, Memphis, 07.03, 2003

Documents

Issue 7.3 of the "Teen Appeal" published by the University of Memphis Journalism Department and Commercial Appeal, Memphis, Tennessee, on October 28, 2003.

Comparative Adjudication Of Noisy And Subjective Data Annotation Disagreements For Deep Learning, Scott David Williams

Browse all Theses and Dissertations

Obtaining accurate inferences from deep neural networks is difficult when models are trained on instances with conflicting labels. Algorithmic recognition of online hate speech illustrates this. No human annotator is perfectly reliable, so multiple annotators evaluate and label online posts in a corpus. Labeling scheme limitations, differences in annotators' beliefs, and limits to annotators' honesty and carefulness cause some labels to disagree. Consequently, decisive and accurate inferences become less likely. Some practical applications such as social research can tolerate some indecisiveness. However, an online platform using an indecisive classifier for automated content moderation could create more problems than it solves. …

Enhancing Graph Convolutional Network With Label Propagation And Residual For Malware Detection, Aravinda Sai Gundubogula

Browse all Theses and Dissertations

Malware detection is a critical task in ensuring the security of computer systems. Due to a surge in malware and the malware program sophistication, machine learning methods have been developed to perform such a task with great success. To further learn structural semantics, Graph Neural Networks abbreviated as GNNs have emerged as a recent practice for malware detection by modeling the relationships between various components of a program as a graph, which deliver promising detection performance improvement. However, this line of research attends to individual programs while overlooking program interactions; also, these GNNs tend to perform feature aggregation from neighbors …

Effective Systems For Insider Threat Detection, Muhanned Qasim Jabbar Alslaiman

Browse all Theses and Dissertations

Insider threats to information security have become a burden for organizations. Understanding insider activities leads to an effective improvement in identifying insider attacks and limits their threats. This dissertation presents three systems to detect insider threats effectively. The aim is to reduce the false negative rate (FNR), provide better dataset use, and reduce dimensionality and zero padding effects. The systems developed utilize deep learning techniques and are evaluated using the CERT 4.2 dataset. The dataset is analyzed and reformed so that each row represents a variable length sample of user activities. Two data representations are implemented to model extracted features …

Fuzzing Php Interpreters By Automatically Generating Samples, Jacob S. Baumgarte

Browse all Theses and Dissertations

Modern web development has grown increasingly reliant on scripting languages such as PHP. The complexities of an interpreted language means it is very difficult to account for every use case as unusual interactions can cause unintended side effects. Automatically generating test input to detect bugs or fuzzing, has proven to be an effective technique for JavaScript engines. By extending this concept to PHP, existing vulnerabilities that have since gone undetected can be brought to light. While PHP fuzzers exist, they are limited to testing a small quantity of test seeds per second. In this thesis, we propose a solution for …

Modeling, Simulation, And Hardware Testing Of A Noise-Canceller Adc Architecture, Ethan R. Rando

Browse all Theses and Dissertations

Analog-to-Digital Converters (ADCs) are essential elements of most complex electronic devices. ADCs allow for an analog signal to be converted into the digital domain, and thus interpreted by a digital circuit or model. While ADCs are extremely common, they are not immune from common tradeoffs when being designed and implemented. The most prominent tradeoff when selecting or designing an ADC is whether to pursue a high conversion rate or a high resolution on the digital output. There are some ADC designs that allow for relatively high resolution while maintaining a respectable conversion rate, however these designs often come at the …

Systematics, Taxonomy, And Ecology Of Neotropical Tachinidae (Diptera) With Focus On The Tribe Polideini, Juan Manuel Perilla López

Browse all Theses and Dissertations

The diverse family of flies Tachinidae are a significant component of insect communities in nearly all terrestrial systems from deserts to tropical forests to the high arctic. Due to their parasitoid habit, tachinids are important enemies of a variety of other insect groups. Despite the apparent importance of this group, current studies—including ecological and biogeographic studies—are limited by taxonomic and systematic impediments, including unknown phylogenetic frameworks for most tribes, poorly known generic limits, and a large number of undescribed tropical species. Here I present studies in taxonomy, systematics, phylogenetics and ecology of the Polideini of the Neotropical region organized in …

Effect Of Reduced Cardiomyocyte O-Glcnacylation On The Expression And Activity Of The Cardiac Voltage-Gated Sodium Channel, Chiagozie Dawn Bede Paul-Onyia

Browse all Theses and Dissertations

Abnormal glycosylation can impact cardiac proteins, affecting signaling, contraction, and metabolism, which leads to compromised cardiac function. O-GlcNAcylation, the only form of intracellular glycosylation, involves adding a single GlcNAc molecule to proteins via enzymes: O-GlcNAc Transferase (OGT) for addition and O-GlcNAcase (OGA) for removal. The Ednie/Bennett lab has previously demonstrated that in both chronic (OGT KO) and acute (OGT inhibition) models of reduced cardiomyocyte O-GlcNAcylation, a disruption of Ca2+ homeostasis occurs. This study delved into the cardiac voltage-gated sodium channel (NaV 1.5) in these models. NaV 1.5 expression was analyzed through western blotting and immunocytochemistry, while its functional activity was …

Novel Formulation Strategies With Hot-Melt Extrusion Technology To Address Physicochemical And Physiological Constraints For Improved Oral Drug Delivery, Sagar Narala

Electronic Theses and Dissertations

Most current active pharmaceutical ingredients (APIs) exhibit poor water solubility, necessitating higher doses or repeated administration. Numerous methods were explored to augment solubility, including but not limited to amorphous solid dispersions, cocrystals, salts, and nanoformulations. The hot-melt extrusion (HME) technique has gained immense popularity due to its solvent-free and continuous manufacturing capabilities, contributing to its increasing use to enhance solubility and bioavailability. In the first chapter, hydrochlorothiazide (BCS-IV class) cocrystals were produced using coformers such as nicotinamide (NIC), resorcinol (RSL), and catechol (CAT) through HME technology. The cocrystals were compared against liquid-assisted grinding (LAG) cocrystals and then analyzed by DSC, …

A Discrete Conley-Zehnder Index For Symplectic Polytopes, Yutian Yu

Electronic Theses and Dissertations

A Hamiltonian system is a dynamical system governed by Hamilton’s equations. Hamiltonian systems provide a framework for studying classical mechanics. One fundamental principle in Hamiltonian mechanics is the conservation of energy along the flow of the Hamiltonian vector field. The smooth hypersurface of a Hamiltonian function on a symplectic manifold has a contact structure, and the associated Reeb vector field is, up to a scale, the Hamiltonian vector field. We are interested in the non-smooth case and a symplectic polytope makes a good model to study.

In this dissertation, we study the Reeb dynamics on the boundary of a symplectic …

Investigating The Influences Of Summer Experiences On Students' Self-Efficacy In Stem, Olivia Palicki

Williams Honors College, Honors Research Projects

Improving high school students’ interest and confidence in STEM is a national priority. Educators and stakeholders in educational policy have pressed for increasing opportunities to engage students in authentic science experiences and focus on teaching 21st century skills. The purpose of this case study was to investigate how a summer research experience may have influenced high school students’ self-efficacy and career interests in STEM subjects and practices as well as identifying what students learned from their experience in the program. Pre/post program surveys were analyzed to measure change in student attitudes towards STEM and to capture students learning outcomes from …

Human Tracking Function For Robotic Dog, Andrew Sharkey

Williams Honors College, Honors Research Projects

With the increase the increase in automation and humans and robots working side by side, there is a need for a more organic way of controlling robots. The goal of this project is to create a control system for Boston dynamics robotic dog Spot that implements human tracking image software to follow humans using computer vision as well as using hand tracking image software to allow for control input through hand gestures.