Digital Commons Network^™

Incorporating Solvent Effects In Dft: Insights From Cation Exchange In Faujasites, An T. Ta, Ayoub Daouli, R. Seaton Ullberg, Eric Fonseca, Vanessa Proust, Agnès Grandjean, Richard G. Hennig, Hans Conrad Zur Loye, Michael Badawi, Simon R. Phillpot

Faculty Publications

Zeolites are versatile materials renowned for their extra-framework cation exchange capabilities, with applications spanning diverse fields, including nuclear waste treatment. While detailed experimental characterization offers valuable insight, density functional theory (DFT) proves particularly adept at investigating ion exchange in zeolites, owing to its atomic and electronic resolution. However, the prevalent occurrence of zeolitic ion exchange in aqueous environments poses a challenge to conventional DFT modeling, traditionally conducted in a vacuum. This study seeks to enhance zeolite modeling by systematically evaluating predictive differences across varying degrees of aqueous solvent inclusion. Specifically focusing on monovalent cation exchange in Na-X zeolites, we explore …

Including Methane Emissions From Agricultural Ponds In National Greenhouse Gas Inventories, Martino E. Malerba, Tertius De Kluyver, Nicholas J. Wright, Odebiri Omosalewa, Peter I. Macreadie

Climate Science Research Articles

Agricultural ponds are a significant source of greenhouse gases, contributing to the ongoing challenge of anthropogenic climate change. Nations are encouraged to account for these emissions in their national greenhouse gas inventory reports. We present a remote sensing approach using open-access satellite imagery to estimate total methane emissions from agricultural ponds that account for (1) monthly fluctuations in the surface area of individual ponds, (2) rates of historical accumulation of agricultural ponds, and (3) the temperature dependence of methane emissions. As a case study, we used this method to inform the 2024 National Greenhouse Gas Inventory reports submitted by the …

Domination On Bipolar Fuzzy Graph Operations: Principles, Proofs, And Examples, Haifa Ahmed, Mohammed Alsharafi

Neutrosophic Systems with Applications

Bipolar fuzzy graphs, capable of capturing situations with both positive and negative memberships, have found diverse applications in various disciplines, including decision-making, computer science, and social network analysis. This study investigates the domain of domination and global domination numbers within bipolar fuzzy graphs, owing to their relevance in these aforementioned practical fields. In this study, we introduce certain operations on bipolar fuzzy graphs, such as intersection, join, and union of two graphs. Furthermore, we analyze the domination number and the global domination number for various operations on bipolar fuzzy graphs, including intersection, join, and union of fuzzy graphs and their …

Faculty Senate Chronicle May 2, 2024, Heather Loughney

The University of Akron Faculty Senate Chronicle

Minutes for the regular meeting of The University of Akron Faculty Senate on May 2, 2024.

Adaptive Solutions For Improving The Quality Of Mobile User Experiences, Meena V

Theses and Dissertations

Nowadays, mobile applications have drawn a lot of attention as they bring computational and storage resources close to consumers globally through high-speed networks. Applications such as the medical microscope, 2D barcode reader, environmental sensor(s), mobile security and authenticator, vehicle remote controller, and IoT-based synchronizer come pre- applications are resource-intensive, as it performs computation(s) by utilizing diverse services like location, app-tracking, networking, camera, calendar, contacts, Bluetooth, etc. for each user activity. Parallel execution of such intense services might utilize the utmost memory and CPU of the mobile device which in turn degrades the overall Quality of Experience (QoE). This ultimately ends …

Second-Order Permutation Variable Importance: Quantifying And Attributing Uncertainty In Future Coastal Risk, Dwight Dinkins

Theses

Sensitivity analysis (SA) systematically assesses and quantifies a model’s uncertainty by examining the impact of parameter variations on the model’s output. An objective of sensitivity analysis is to ascertain model-input parameters that contribute the most to the uncertainty of a model’s output and could serve as a gauge to determine whether a parameter’s variation is suitable, expected, or a realistic representation of the phenomenon being modeled. Incorporating sensitivity analysis for assessing the importance of a model feature is imperative for decision-making. Therefore, as a statistical methodology, SA’s application in investigating coastal regions that are vulnerable to sea-level rise and extreme …

The Impact Of Aging On Fibroblast Gene Expression In Post-Extraction Wound Healing: A Single-Cell Rna Sequencing Study, Paula Christina Cohen Schlemmer

Theses & Dissertations

Wound healing is slower in aged patients. Immediately after tooth extraction, fibroblasts are activated to rebuild the ECM, which is later remodeled through the expression of MMPs. Gene expression may be altered in fibroblasts of aged patients leading to deficiencies in ECM deposition and the recruitment and proliferation of immune cells, resulting in a slow-healing fibrotic wound.

Using scRNA-seq, soft tissue was profiled from two healthy patients: one young and one aged at the time of tooth extraction. Two weeks post-extraction, a second soft tissue sample was harvested. Differentially expressed genes were used to identify enriched pathways for each …

Signal Processing Algorithms For Doppler Lidar Sensors, Samantha Grubb

Physics and Astronomy Honors Papers

Light detection and ranging (LiDAR) is a remote sensing technology that obtains relative distance and velocity measurements between a sensor and a defined target by using light transmitted and received from the target. FMCW Doppler LiDAR, a particular variant of LiDAR, functions by analyzing the frequency shift in the reflected light to determine the target's range and velocity. This technology plays a crucial role across various sectors including defense, aerospace, and automotive. This paper presents signal processing algorithms designed to optimize data obtained from Doppler LiDAR sensors. By applying various window functions to time domain data, the Signal-to-Noise Ratio (SNR) …

Jtc 24: A Tear Of Fate, Kayla Vonburg King

University of Mississippi News

This story is part of the 2024 Journey to Commencement series, which celebrates the pinnacle of the academic year by highlighting University of Mississippi students and their outstanding academic and personal journeys from college student to college graduate.

Awareness In The Brain: A Mechanistic And Descriptive Account, Jacob Fried, Roy Pereira

Honors Thesis

An exploration of the different aspects of consciousness and their biological underpinnings, followed by a review of existing theories of awareness in the brain and a critique of the existing research. This paper conducts a review and critique of the contemporary research and finds that no existing theory currently offers an account of awareness in the brain that is both mechanistic and descriptive in nature. Thus, this paper proposes a new theory of the process of awareness in the brain, wherein Attention Schema Theory is considered as the mechanism of awareness and Global Neuronal Workspace Theory as its nature.

Virtual Reality In And For Creation, Jaron Melin

Grapho : Concordia Seminary Student Journal

Within the last few years, there has been growing excitement and concern in the rise of what is called the metaverse. How do various enthusiasts and observers characterize the metaverse? Bobrowsky on the Wall Street Journal reports the metaverse as “an extensive online world transcending individual tech platforms, where people exist in immersive, shared virtual spaces. Through avatars, people are able to try on items available in stores or attend concerts with friends, just as they would offline.”

Christian Narrative Service: God’S Story Of Everything In Worship, Jaron Melin

Grapho : Concordia Seminary Student Journal

Christian Narrative Service: God’s Story of Everything in Worship

Investigation Of Lignin Solubilization Using Quantum Chemical Calculations In Constrained Media, Leo Sanzone

Arts & Sciences Undergraduate Showcase

Lignin is a common, yet complex polymer found in a majority of vascular plants. The polymer can easily be functionalized, and it is a readily available and renewable source of carbon-based material without a petrol source. There are various methods to allow for the dissolution of lignin, one of which involves the use of H₂O and CO₂ in supercritical conditions. This particular solution bends the normal solvation rules and allows for multiple instances of H-bonding interactions.

By using Density Functional theory, this study aims to identify the molecular interactions of guaiacol (the most basic fragment of lignin) …

Outlining The Hidden Curriculum: Perspectives On Successfully Navigating Scientific Conferences, Eduardo J. Caro-Diaz, Marcy J. Balunas, Lesley Ann Giddings, Sandra Loesgen, Brian T. Murphy, C. Benjamin Naman, Christine E. Salomon, Kevin J. Tidgewell, Jaclyn M. Winter

Chemistry: Faculty Publications

Scientific conferences and meetings are valuable opportunities for researchers to network, communicate, and develop knowledge. For early career scientists, conferences can also be intimidating, confusing, and overwhelming, especially without having adequate preparation or experience. In this Perspective, we provide advice based on previous experiences navigating scientific meetings and conferences. These guidelines outline parts of the hidden curriculum around preparing for and attending meetings, navigating conference sessions, networking with other scientists, and participating in social activities while upholding a recommended code of conduct.

Elementary Teachers’ Perceptions Of Challenges In Instructing Students With Dyslexia And Recommendations For Improvement, Lainie Barbieri

Walden Dissertations and Doctoral Studies

The problem investigated in this study was that, despite professional development (PD) training, elementary teachers at a school district in the western United States are challenged in instructing students with dyslexia. The purpose of this basic qualitative study was to investigate teachers’ perceptions of the challenges of instructing students with dyslexia and recommendations to improve teacher training to work with students with dyslexia in the study school district. Guskey’s model of the five critical levels of PD evaluation theory informed this study. The research questions explored elementary teachers’ perceptions of the challenges of instructing students with dyslexia and recommendations for …

Supporting First-Generation College Student Counselors-In-Training To Overcome Systemic Barriers: A Participatory Action Research Study, Randolph Connell Scott

Walden Dissertations and Doctoral Studies

The need for mental health professionals is increasing rapidly, and the United States is facing a critical shortage of mental health counselors. Concurrently, one of the largest and fastest-growing graduate student populations is first-generation (FG) college students. But this marginalized population is less likely to persist to graduation than their continuing education peers. FG college students have many strengths that make them well-suited to become mental health counselors; however, counseling programs and counselor education and supervision (CES) faculty do not have the information about the challenges faced by these students or the supports that would help them persist to graduation. …

On Heptagonal Neutrosophic Semi-Open Sets In Heptagonal Neutrosophic Topological Spaces: Testing Proofs By Examples, Subasree R, Basarikodi K

Neutrosophic Systems with Applications

In terms of heptagonal neutrosophic topological spaces, the purpose of this paper is to present the idea of heptagonal neutrosophic semi-open sets. Additionally, we examine a few of its characterizations and heptagonal neutrosophic semi-interior and heptagonal neutrosophic semi-closure operators.

Would Access Cavity Design Affect The Mechanical Behaviour Of Tooth: A Finite Element Study, Muhammad Ashraf Elhusseini, Engy Kataia, Hala Khalil

International Arab Journal of Dentistry

Two distinct access cavity designs were used to access Two simulated finite element models (FE). (Lingual (LAC) and incisal (IAC)). Three experimental FE models, including the IT model, were developed: LAC and IAC. For every simulated model, one distinct radicular preparations was carried out of size #30/.04. The incisal edge was subjected to an occlusal cycle load of 120 N. The maximum von mises stresses (VMS), maximum principal stresses (MPS), and stress distribution patterns were assessed and calculated quantitatively. It was concluded that the mandibular incisor's biomechanical behavior is significantly influenced by the size of the access design. Biomechanically the …

Approval Gap Of Weighted K-Majority Tournaments, Jeremy Coste, Breeann Flesch, Joshua D. Laison, Erin Mcnicholas, Dane Miyata

Theory & Applications of Graphs

A $k$-majority tournament $T$ on a finite set of vertices $V$ is defined by a set of $2k-1$ linear orders on $V$, with an edge $u \to v$ in $T$ if $u>v$ in a majority of the linear orders. We think of the linear orders as voter preferences and the vertices of $T$ as candidates, with an edge $u \to v$ in $T$ if a majority of voters prefer candidate $u$ to candidate $v$. In this paper we introduce weighted $k$-majority tournaments, with each edge $u \to v$ weighted by the number of voters preferring $u$.

We define the …

Fixed Point Results In Complex Valued Neutrosophic B-Metric Spaces With Application, M. Pandiselvi, M. Jeyaraman

Neutrosophic Systems with Applications

In this manuscript, we introduce the idea of complex-valued Neutrosophic b-metric spaces along with numerous significant illustrations. We provide fixed-point results for contraction maps. To support the main result, we establish the existence and uniqueness of solutions for nonlinear integral equations after the work.

Energy Dependence Of Quasi-Periodic Oscillations In Accreting X-Ray Pulsars, Hemanth Manikantan, Biswajit Paul, Rahul Sharma, Pragati Pradhan, Vikram Rana

Publications

We present the results from an investigation of the energy dependence of quasi-periodic oscillations (QPOs) exhibited by accreting X-ray pulsars using data from archival XMM-Newton, NuSTAR, RXTE, and NICER observations. In a search for the presence of QPOs in 99 XMM-Newton and NuSTAR observations, we detected QPOs in eleven observations of five sources, viz., 4U 1626–67 (48 mHz), IGR J19294+1816 (30 mHz), V 0332+53 (2, 18, and 40 mHz), Cen X–3 (30 mHz), and XTE J1858+034 (180 mHz). A positive correlation of the QPO rms amplitude with energy is exhibited by 4U 1626–67, IGR J19294+1816, Cen X–3 and XTE J1858+034, …

Zeolitic Imidazolate Framework-8 Encapsulated With Mo-Based Polyoxometalates As Surfaces With Antibacterial Activity Against Escherichia Coli, Mariam M. Abdelkhalek, Aya M. Mohamed, Rehab Z. Abdallah, Ghada E. Khedr, Rania Siam, Nageh K. Allam

Faculty Journal Articles

Bacterial infections represent a major global health concern, causing millions of deaths and a significant economic burden. The development of antibacterial nanoporous surfaces with potential mechano-bactericidal effects can revolutionize infection control practices. In this study, a hybrid material of zeolitic imidazolate framework-8 (ZIF-8) doped with phosphomolybdic acid (PMA) was synthesized and characterized by field emission scanning electron microscopy (FESEM), energy-dispersive X-ray spectroscopy (EDS), X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), and N2 sorption isotherms. PMA@ZIF-8 performance as an antibacterial agent against E. coli was superior to that of its individual constituents, suggesting a synergistic effect of PMA and ZIF-8. The …

Developing Engineering Career Pathway Perceptions For Students Interacting With Near-Peer Mentors In An Informal Learning Environment, Deidre Horne Mangin

Electronic Theses and Dissertations Archive

Given the worldwide shortfall of engineers that threatens innovation and global stewardship, educators and industry must find ways to engage and prepare the next generation of engineers. To attract and train candidates to fill global needs, researchers need to expand engineering career pathway perceptions for students of all ages. Engineering education programming, whether formal or informal, not only encourages students to hone soft skills such as design thinking, communication, emotional intelligence, and evaluation but also promotes traditional technical skills. Fostering engineering self-efficacy and thus promoting engineering career pathways is an emerging area of study that has the potential to mitigate …

Software Reliability Model Estimation For An Indeterministic Crime Cluster Through Reinforcement Learning, Dileep Kumar Kadali, R.N.V. Jagan Mohan, M. Chandra Naik

Neutrosophic Systems with Applications

The software reliability model estimates the probability of data failure in a specific environment, significantly impacting reliability and trustworthiness. The paper study focuses on cluster crime data, i.e., indeterministic in Neutrosophic Logic, using a software reliability model. The study utilizes reinforcement learning, Neutrosophic logic, and non-homogeneous Poisson process crime data to estimate indeterministic cluster data in crime. The "Non-homogeneous Poisson Process with Neutrosophic Logic" technique performs well in evaluating and deterring crime based on crime data analysis. The crime cluster involving offenders correctly classified as failure to accomplish does better than uncertain cluster reliability estimation with least squares and logistic …

Peace With Painful Memories, Mona Muzammil, Muzammil Arshad, Washain Muzammil

School of Integrative Biological & Chemical Sciences (Formerly Dept. of Chemistry)

This Book helps you identify and heal from childhood emotional neglect so you can be more connected and emotionally present in your life.

Do you sometimes feel like you’re just going through the motions in life? Do you often act like you’re fine when you secretly feel lonely and disconnected? Perhaps you have a good life and yet somehow, it’s not enough to make you happy. Or perhaps you drink too much, eat too much, or risk too much to feel something good. If so, you are not alone and you may be suffering from emotional neglect.

Are you one …

Star-Based Reachability Analysis Of Binary Neural Networks On Continuous Input, Mykhailo Ivashchenko

School of Computing: Dissertations, Theses, and Student Research

Deep Neural Networks (DNNs) have become a popular instrument for solving various real-world problems. DNNs’ sophisticated structure allows them to learn complex representations and features. However, architecture specifics and floating-point number usage result in increased computational operations complexity. For this reason, a more lightweight type of neural networks is widely used when it comes to edge devices, such as microcomputers or microcontrollers – Binary Neural Networks (BNNs). Like other DNNs, BNNs are vulnerable to adversarial attacks; even a small perturbation to the input set may lead to an errant output. Unfortunately, only a few approaches have been proposed for verifying …

Anodic Cyclizations To Form Alkaloid Ring Systems And The Role Of The Second Oxidation Step, Zachary Tyler Medcalf

Arts & Sciences Graduate Student Theses and Dissertations

In chapter 1 we will explore the essential background on electrochemistry and anodic cyclization reactions, laying the foundation for understanding the subsequent chapters. In chapter 2, we will explore the mechanistic model established for anodic olefin coupling reactions and the importance of the second oxidation step in the success of these reactions. We showed how a fast second oxidation step can be used to push an anodic cyclization down a kinetic pathway. We will also explore how this step impacts the generation of product in photoelectron-transfer initiated radical cation reactions. It is evident that a fast second oxidation step alone …

Rosarugosides A And D From Osa Rugosa Flower Buds: Their Potential Anti-Skin-Aging Effects Intnf-Α-Induced Human Dermal Fibroblasts, Kang Sub Kim, So-Ri Son, Yea Jung Choi, Yejin Kim, Si-Young Ahn, Dae Sik Jang, Sullim Lee

Faculty, Staff and Student Publications

This present study investigated the anti-skin-aging properties of Rosa rugosa. Initially, phenolic compounds were isolated from a hot water extract of Rosa rugosa's flower buds. Through repeated chromatography (column chromatography, MPLC, and prep HPLC), we identified nine phenolic compounds (1-9), including a previously undescribed depside, rosarugoside D (1). The chemical structure of 1 was elucidated via NMR, HR-MS, UV, and hydrolysis. Next, in order to identify bioactive compounds that are effective against TNF-α-induced NHDF cells, we measured intracellular ROS production in samples treated with each of the isolated compounds (1- …

Near-Collapse Of The Geomagnetic Field May Have Contributed To Atmospheric Oxygenation And Animal Radiation In The Ediacaran Period, Wentao Huang, John A. Tarduno, Tinghong Zhou, Mauricio Ibañez-Mejia, Laércio Dal Olmo-Barbosa, Edinei Koester, Eric G. Blackman, Aleksey V. Smirnov, Gabriel Ahrendt, Rory D. Cottrell, Kenneth P. Kodama, Richard K. Bono, David G. Sibeck, Yong Xiang Li, Francis Nimmo, Shuhai Xiao, Michael K. Watkeys

Michigan Tech Publications

Earth’s magnetic field was in a highly unusual state when macroscopic animals of the Ediacara Fauna diversified and thrived. Any connection between these events is tantalizing but unclear. Here, we present single crystal paleointensity data from 2054 and 591 Ma pyroxenites and gabbros that define a dramatic intensity decline, from a strong Proterozoic field like that of today, to an Ediacaran value 30 times weaker. The latter is the weakest time-averaged value known to date and together with other robust paleointensity estimates indicate that Ediacaran ultra-low field strengths lasted for at least 26 million years. This interval of ultra-weak magnetic …

Increasing Motivation In Stem Education: A Self-Talk Classroom Intervention, Tiffany L. Copeland, Richard Allen, Sofia Pham, Kristin Gagnier

Research Day

INTRODUCTION: This study examines a social-emotional learning intervention that teaches positive self-talk to high school students from underrepresented minority groups in science, technology, engineering, and math (STEM). The setting of this study is a place-based program that immerses students in hands-on STEM activities while located in Philadelphia’s life science hub. Before taking a science assessment, students will learn to say self-talk statements such as “I will give my best effort” and “I can achieve a high score.”

METHODS: This mixed method quasi-experimental design compares pre- and post-program data using an ANOVA. Student science performance will be measured using a probe …