Digital Commons Network^™

Live Chat With G. Marcus Cole, Marcus Cole, Lou Nanni

2019–Present: G. Marcus Cole

Join us on Wednesday, March 1 [2023] @ Noon ET, for a live chat with G. Marcus Cole, Joseph A. Matson Dean and Professor of Law at Notre Dame Law School. Marcus will discuss recent successes at the Religious Liberty Initiative, the Exoneration Justice Clinic, and more.

Host: Lou Nanni, Vice President, Office of VP-University Relations

An Evidence-Based Approach To Provide Essential And Desirable Components To Develop Surveys On Sudden Unexpected Death In Epilepsy (Sudep) For Doctors: A Focused Review, L. V. Watkins, S. Ashby, J. Hanna, W. Henley, R. Laugharne, R. Shankar

More Faculty of Health Research

Sudden Unexpected Death in Epilepsy (SUDEP) is a major concern for people with epilepsy, their families, their care givers, and medical professionals. There is inconsistency in the SUDEP counselling doctors provide, compared to what is recommended in clinical guidelines. Numerous national and international surveys have highlighted how epilepsy professionals, usually doctors, deliver SUDEP risk counselling, particularly, when they deliver it and to whom. These surveys help understand the unmet need, develop suitable strategies, and raise awareness among clinicians with the eventual goal to reduce SUDEPs. However, there is no standardised survey or essential set of questions identified that can be …

Fast Five With The Tfsc, March 2023, University Of Arkansas, Fayetteville. Wally Cordes Teaching And Faculty Support Center

Fast Five with the TFSC

University of Arkansas, Fayetteville--Wally Cordes Teaching and Faculty Support Center newsletter

Online Education And Managing Service Quality With The Challenges Of Covid 19: The Case Of University Of Business And Technology (Ubt) Saudi Arabia, Mohammad Kanan, Ayman Zerban, Salah Abunar, Ameen El Harbi, Gamal Weheba, Ramiz Assaf

Applied Mathematics & Information Sciences

With the pandemic of COVID 19 hitting global economy and forcing social distance, all sectors were exposed to the wave. The educational sector is not exceptional, most universities were forced to adopt online education with the lack of experience necessary needed. This step was like walking blind in a foggy road without realizing the suitability of this service or how to satisfy students. The pandemic spread of Novel Corona Virus (COVID-19) has created stress, anxiety, and several concerns among people around the world. It is disrupting every aspect of human life including education. Since customer satisfaction has always been linked …

Semi-Analytical Technique To Study The Dynamics Of Low Earth Satellites Under Gravitational Perturbations Using Universal Variables, A. B. Yassen, A. H. Ibrahim, M. Radwan, W. N. Ahmed

Applied Mathematics & Information Sciences

Low-altitude Earth orbits provide important benefits for space missions. Among these benefits are the high-resolution images and resupply. In the present work, we studied the dynamics of Earth satellites that move in low orbits. The force model comprises the gravitational resonance 13:1, besides the Earth’s gravitational potential up to the second degree and order. In order to avoid the appearance of singularities, the quasi-Hamiltonian equations of motion are formulated in terms of non-singular universal variables instead of Delaunay variables. We integrated numerically the equations of motion and performed some numerical simulations. It is found that the variations in eccentricity and …

Some Differential Identities For Rings Involving Prime Ideals, J. J. Jaraden, B. N. Al-Hasanat, L. Oukhtite, I. A. Al-Lawama

Applied Mathematics & Information Sciences

In many studies on ring structures, derivations are found to play a significant role in determining commutativity. In this paper we show the commutativity of a prime ring using certain identities on the generalized semi-derivation of such ring. The considered derivation maps will be either centralizing or commuting. We intend to propose such results as a new method to demonstrate prime ring commutativity.

Nonmagnetic Negative Refractive Index Media Based On Chalcogenide Glasses, N. Boutabba

Applied Mathematics & Information Sciences

We report in this work the study of the permittivity and the losses in non-linear nonmagnetic negative refractive index media. We analyze the permittivity and the losses dependence on the inclusion number of the particles used in the suggested media that is made by interlacing plasmonic metallic particles and a dielectric. We show that the exhibition of a negative permittivity in these strongly anisotropic media depends not only on the inclusion number of the particles and the frequency range but also on the oscillation frequency of free electrons in the metal which plays the major role. We finally suggest the …

A Preliminary Volterra Lotka Model Analysing Cancer, Intracellular Parasite, And Immune Cells Interaction, Nadia Boutabba, Gehan Abuelenain

Applied Mathematics & Information Sciences

In this paper, we investigate the dynamics of immune and tumor cell densities in the presence of a parasite using the prey- predator Volterra-Lotka model in a biological system, assuming that the parasite is either a down or up-regulator of the induced immune cells. Thus, we analysed the model for equal and non equal initial conditions and report their impact on the populations growth.

Ola Distribution: A New One Parameter Model With Applications To Engineering And Covid-19 Data, Ola Al-Ta’Ani, Mohammed M. Gharaibeh

Applied Mathematics & Information Sciences

We employed the notion of mixture distributions to suggest a new one parameter continuous distribution for modeling real lifetime data called Ola Distribution. Its properties are explored including moments and related measures, moment generating function, reliability analysis functions, order statistics, Bonferroni and Lorenz curves, stochastic ordering, Re ́nyi entropy and mean deviations. The maximum likelihood method is adapted to estimate the parameter of the distribution. Applications to engineering and COVID- 19 data sets are presented to illustrate the usefulness of the suggested distribution. The applications showed that Ola distribution outperforms some competitive distributions and can be considered as a useful …

Numerical Solution For The Sin-Gordon Equation Using The Finite Difference Method And The Non-Stander Finite Difference Method, K. R. Raslan, A. A. Soliman, Khalid K. Ali, M. Gaber, Soma R. Almhdy

Applied Mathematics & Information Sciences

In this paper, We study the non-linear sin Gordon equation as a numerical solution using two methods.: the finite differences method and the non-standard finite differences method. A comparison is presented between the numerical results of both methods.The stability of two schemes is conditionally stable.Some tables and figures are presented to illustrate our results.

Predictive Analysis Of Misuse Of Alcohol And Drugs Using Machine Learning Algorithms: The Case Of Using An Imbalanced Dataset From South Africa, Alexander Boateng, Christopher Odoom, Eric Teye Mensah, Sarah Mensah Fobi, Daniel Maposa

Applied Mathematics & Information Sciences

Drug and alcohol misuse has become a significant global distraction to the development of the youths and future leaders, especially in South Africa. The ideal solution to these unhealthy practices is for institutions, governments, and individuals to put preventive measures such as counselling, sanctions, and fines to help control drug and alcohol misuse. However, it is challenging to know the group of people or individuals engaged in such deteriorating activities by merely monitoring individuals physically. It makes it difficult even to plan the measures to control the issue. Therefore this paper has applied and compared six supervised machine learning algorithms …

E-Learning Innovation In The Institutions Of Jordans Higher Education: A Case Study, Nouh Alhindawi

Applied Mathematics & Information Sciences

eLearning has gained widespread popularity in recent years due to its convenience and flexibility. In Jordan, the higher education institutions have embraced e-learning and have implemented various innovations in their e-learning programs, based on a national plan for embedding online learning (full and blended) in the higher education system. These innovations include the use of new technologies and tools, collaboration with industry partners, utilization of Open Educational Resources (OER), incorporation of experiential learning, and implementation of personalized and adaptive learning. These approaches have helped to enhance the quality and effectiveness of e-learning programs, and have ensured that they meet the …

Predicting The Behavior Of Solar Energy In Tulkarm City Using Markov Chains And Fuzzy Markov Chains, Saed Mallak, Mohammad Kanan, Samer Alsadi, Ghadeer Sabbah, Siraj Zahran, Hani Attar

Applied Mathematics & Information Sciences

In this paper, we predict the behavior of solar energy in Tulkarm city, Palestine, using Markov chains and fuzzy Markov chains. Relying on solar radiation data in Tulkarm city during 2013–2016, two models are built that correspond to each season. A year is divided into four seasons, each of which consists of three months. Data from the period 2013–2015 are used to build the models, whereas data from 2016 is compared with the results. The accuracy of the models was better in the summer and winter.

Novel Framework For Selecting Cloud Provider Using Neutrosophic And Modified Gan, Mohammed Attya, Ahmed S. Sakr, H. M. Abdulkader, Faisal Al-Showaikh, M. Kamel El-Sayed

Applied Mathematics & Information Sciences

Cloud computing is very important for many companies in the process of progress. The main problem for any company when transferring their work to the cloud is selecting the most suitable cloud provider among the availability of different cloud service providers with different properties and different alternatives. This paper introduces a novel framework that can be used for selecting the most suitable provider in the case of missing values in the evaluation of alternatives. The framework is composed of two steps; the first step in the framework is about using the Modified Generative Adversarial Network (M-GAN) for data imputation of …

Automated Classification Of The Sybil Attack In Blockchain Network Using Multi Neural Memory Network Classifier, D. Nancy Kirupanithi, A. Antonidoss, G. Subathra

Applied Mathematics & Information Sciences

Block chain technology is a distributed form of digital record that does not need any central authority. As all the information available in the block chain are transparent, everyone can see it. Since blockchain technology is almost hack-proof, it has attracted several industries like business, academia, government, and healthcare. Common concerns regarding Blockchain technology’s impact on privacy and security are unfounded, and may be attacked in a number of ways. We discovered that the Sybil attack has a significant effect on public/permissionless blockchains because an attacker may undermine the blockchain by generating a large number of pseudonymous identities (i.e. Fake …

Maximum Symmetric Division Deg Index Of Cactus Graphs With A Fixed Number Of Cycles And Order, Abeer M. Albalahi

Applied Mathematics & Information Sciences

The symmetric division deg (SDD) index of a graph G is the addition of the numbers (dvdu)−1[(dv)2 +(du)2] over all the edges uv of G, where dv and du represent degrees of the vertices v and u, respectively. A connected graph in which every edge lies on at most one cycle is usually referred to as a cactus graph. (Every tree as well as every unicyclic graph is a cactus graph; the converse is not generally true.) The primary goal of the present paper is to characterize the unique graph possessing the maximum value of the SDD index over the …

Fuzzy Contra Gprw-Continuous Mappings, Firdose Habib, Ali Akgu ̈L, Abdulrahman M. Alansari, Wasan Shakir Awad

Applied Mathematics & Information Sciences

t: In this manuscript new types of fuzzy mappings namely fuzzy contra gprw-continuous mappings have been introduced & investigated. Also we found out its relation with various other fuzzy contra mappings introduced earlier. We also introduced fuzzy contra gprw-open mappings and fuzzy contra gprw-closed mappings in this paper.

On The Robustness Of Right Truncated Esscher Transformed Laplace Distribution, K. Krishnakumari, D. George

Applied Mathematics & Information Sciences

Truncation arises in many practical situations such as Epidemiology, Material science, Psychology, Social Sciences and Statistics where one wants to study about data which lie above or below a certain threshold or within a specified range. Right truncation often happens when an event/source is detected if its measurement is less than a truncation variable. The present study aims to introduce a right truncated version of an asymmetric and heavy tailed distribution namely, Esscher transformed Laplace distribution beyond the interval (−∞,b). Various distributional and reliability properties of the proposed distribution are investigated. The performance of η, the parameter, is estimated using …

Survey On Linear Integral Equations And The Laguerre Polynomials, Muhammad Hakim Ali Qasmi, Ali Hasan, Ali Akgu ̈L, Muhammad Farman, Salem M. Aljazzar, Faisal Al-Showaikh

Applied Mathematics & Information Sciences

In this paper, we dealt with Integral Equations (IEs). Many real-world problems are modeled in the form of IEs. Nowadays, IEs are used frequently as a replacement for Differential Equations. There are various methods to deal with IEs such as ADM, VIM, and HPM, etc. Here in this work, we used Galerkin Method. In this method, we considered Laguerre Polynomials (some other polynomials may also be used). In the method, the Galerkin equation is solved by using Maple Code for getting unknown constants, solutions, and Graphs.

Fractional Order Glucose Insulin Model With Generalized Mittag-Leffler Kernel, Ali Akgül, Muhammad Farman, Aqeel Ahmad, Adnan Khan, Siraj Zahran, Wasan Shakir Awad

Applied Mathematics & Information Sciences

In this paper, We formulate a fractional-order mathematical model for the populations of diabetic patients consist three- compartment G, X, and I. Diabetes Model is investigated with fractal-fractional operator for normal and type-1 diabetes. Also, the deterministic mathematical model for diabetes mellitus is investigated with the effect of the fractional parameters. Solutions are derived to investigate the influence of fractional operator which shows the impact of the disease for type-1 diabetes. The existence and uniqueness results of the fractional-order model are derived using fixed point theory. Simulation has been made for developed solutions of fractional order diabetes model to check …

Fast Facial Expression Recognition System: Selection Of Models, L. Atymtayeva, M. Kanatov, A. M. A Musleh, G. Tulemissova

Applied Mathematics & Information Sciences

Facial Expression Recognition (FER) is rapidly developing field of Computer Vision and Pattern Recognition directions. FER can be helpful for various purposes: in security systems for aggression recognition, in education for students interests recognition, in marketing for customer satisfaction and in the many other fields. Usually we can distinguish seven common facial expressions for all persons. However, it is often important to know: whether a person is positive or negative. This paper describes the recognition system for facial expression in real time, which defines relatively fast and accurate the positive or negative emotion of the faces in the camera view …

Developing A Primary Healthcare Diagnosis System Based On Natural Language Processing, Ahmad A. Alzahrani

Applied Mathematics & Information Sciences

A machine learning (ML) algorithm is a complex algorithm that automates based on experience. Artificial intelligence (AI) is a subfield of machine learning (ML) that builds computer networks that can execute activities that would normally need cognitive functions. Artificial intelligence and chatbots are two revolutionary technologies that have altered the way patients and clinicians view healthcare. A diagnostic is needed to kind the system of healthcare is more participatory. Chabot was created utilizing the most up-to- date machine learning methods, including the decision tree algorithm, to assist users in making a diagnosis of their disease based on their symptoms. The …

Concerns Over The Cost Of Living Among Older Adults In Singapore, Rachel Ngu, Micah Tan, Paulin T. Straughan, Seonghoon Kim, William Tov, Grace Cheong, Xiaoyan Zhang

ROSA Research Briefs

A post-National Day Rally survey conducted in August 2022 found that the rising cost of living and health-related issues were ranked among the top concerns of Singaporeans (Baharudin, 2022). This comes as no surprise as global crises such as the ongoing COVID-19 pandemic and the Russo-Ukrainian conflict, has resulted in global and domestic inflation (Gov.sg, 2022). In May 2022, Singapore reported a 13-year high core inflation of 3.6% (Channel News Asia, 2022), while in September 2022, Singapore’s core inflation had risen to 5.3% (Ang, 2022). Additionally, the government announced that Singapore residents will see a goods and services tax (GST) …

A Case Of High Risk Ciliary Bidy Melanoma Arising In An Eye After Resectioning Of An Iridociliary Melanocytoma, Terry Lee, Ekaterina Semenova, A D. Proia, Miguel A. Materin

Osteopathic Medicine, Jerry M. Wallace School of

PURPOSE: To report a case of a benign iridociliary melanocytoma recurring as malignant melanoma after excision. METHODS: Observational case report with clinical data, slit-lamp examination findings, ultrasound biomicroscopy results, and histopathological and genetic analyses. RESULTS: A 40-year-old African American woman initially presented with a superonasal iridociliary mass with a maximal thickness of 2.5 mm. Visual acuity of the involved eye was 20/25, intraocular pressure was 52 mmHg on maximal pressure-lowering medications, and Humphrey visual field testing revealed an inferior altitudinal defect. Fine-needle aspiration biopsy and incisional biopsy followed by tumor excision confirmed a benign melanocytoma. After 5 years of stability, …

Computational Comparative Analysis Identifies Potential Stemness-Related Markers For Mesenchymal Stromal/Stem Cells, Myret Ghabriel, Ahmed El Hosseiny, Ahmed Moustafa, Asma Amleh

Faculty Journal Articles

No abstract provided.

Thermodynamics Of 5d Charged Rotating Black Holes: A Counterterms Treatment, Adel Awad, Hassan Elsayed

Faculty Journal Articles

No abstract provided.

Minutes, March 2023, University Of Dayton. College Of Arts And Sciences

Documents of the College of Arts and Sciences Academic Affairs Committee

Minutes from organizational meeting for Academic Affairs Committee

The Role Of A Mutated Receptor, Ccrl2 And Its Correlation With A Risk Factor For Alzheimer’S Disease, Colby J. Hendrix, Christopher J. Haynie, Hunter G. Lindsay, Josue D. Gonzalez, Scott Weber

Library/Life Sciences Undergraduate Poster Competition 2023

Alzheimer’s Disease ( is the most common cause of dementia, which is the 5 th leading cause of death While the exact cause of AD is unknown, many suggest that inflammation could be a culprit 1 Inflammation is driven by our immune system A key component of inflammation is chemokine signaling These signaling molecules help guide immune cells to areas of infection and damage Cells use chemokine receptors to interact with secreted chemokines (Fig 1 Left) Some chemokine receptors are identified as atypical chemokine receptors ( because they have different functions than conventional chemokine receptors in the immune system (Fig …

Hedging Cryptos With Bitcoin Futures, Francis Liu, Natalie Packham, Meng-Jou Lu, Wolfgang Karl Haerdle

Sim Kee Boon Institute for Financial Economics

The introduction of derivatives on Bitcoin enables investors to hedge risk exposures in cryptocurrencies. Because of volatility swings and jumps in cryptocurrency prices, the traditional variance-based approach to obtain hedge ratios may not be suitable for hedgers. In this work, we consider two extensions of the traditional approach: first, different dependence structures are modelled by different copulae, such as the Gaussian, Student-t, Normal Inverse Gaussian and Archimedean copulae; second, different risk measures, such as value-at-risk, expected shortfall and spectral risk measures are employed to find the optimal hedge ratio. Extensive out-of-sample tests using the data from the time …

Equity Fund Monthly Report, March 2023, Bryant University, Archeay Investment Fund

Archway Investment Fund

No abstract provided.