Digital Commons Network^™

Immersive Engineering Learning And Workforce Development: Pushing The Boundaries Of Knowledge Acquisition In A Cave, Opeyemi Peter Ojajuni, Brian Warren, Fareed Dawan, Yasser Ismail, Albertha Lawson

Faculty Publications

This study provides insight into the use of virtual reality (VR) to enhance engineering curriculums and develop engineering students’ computational thinking (CT) levels at Historically Black College and Universities (HBCUs). The sample population for this research includes students enrolled in a first-year engineering course at an HBCU. To support the students’ education in cybersecurity additive manufacturing, virtual reality was used to simulate classroom teaching and assignments. Participants in this study were first taught using the traditional method that allowed them passive viewing of images and videos of objects and spaces. The participants were later taught the same lessons in a …

Developing A Pbpk Model For Intranasal Naloxone And Opioid Displacement From Brain Receptors, Jasmin Akther Hossain

Selected Full-Text Dissertations 2020-

The therapeutic and nontherapeutic use of potent opioid agonists has increased dramatically over the past 20 years, with overdose trends following suit. Currently, naloxone is the primary drug used for treating emergency rescue from an opioid overdose. Naloxone works by displacing opioid agonists that are bound to receptors such as the μ-opioid receptor (MOR) in the brain, which are thought to be the sites of action responsible for symptoms due to overdosing, such as respiratory depression.

Intranasal (IN) administration of naloxone is an excellent alternative to the invasiveness of injections and poorly bioavailable oral formulation. However, the exact mechanism of …

Task Scheduling And Trajectory Optimization Based On Fairness And Communication Security For Multi-Uav-Mec System, Yejun He, Kun Xiang, Xiaowen Cao, Mohsen Guizani

Machine Learning Faculty Publications

Unmanned aerial vehicles (UAVs) show significant potential in enhancing communication services within the mobile edge computing (MEC) system by taking their advantages on the flexible mobility and reliable line-of-sight links. However, in the scenarios with multiple UAV-MECs (UMs) operating concurrently, potential conflicts in their trajectories need to be mitigated. Thus, the 3D trajectory needs to be properly designed in a highly reliable manner. Besides, such an infrastructure-free communication paradigm also exposes a potential risk of misuse by malicious parties, which allows them to eavesdrop on private communications, posing a threat to the security and privacy. Therefore, we consider a multi-UAV-assisted …

History And Future Of Solar Energy, Connor Phalin

Integrated Studies

My paper will be about how solar energy has developed over time and what it could look like down the road. It is an alternative to fossil fuels and nuclear energy. Right now, there is a shift that is pushing people away from coal and gas and going to renewable sources such as solar, wind, and other renewables instead. It started in the U.S. when the photovoltaic effect was discovered. Which further lead to higher technology which is used today. Since then, there are now tax credits towards solar which can help a buyer be able to purchase solar and …

Patient Safety And Its Role In Healthcare, Jennifer Brown

Integrated Studies

Abstract

In the United States, medical errors are a major cause of death and a critical public health issue. Finding a reliable cause of mistakes and then offering a reliable, workable solution that reduces the likelihood of an ongoing issue are difficult tasks. Patient safety can be raised by acknowledging unfortunate events when they happen, acquiring knowledge about them, and striving to steer clear of them as well. Effectiveness in post-medical errors follow-up procedures is a pertinent and significant study topic for a number of reasons. In a hospital or maybe even a doctor's office, you may speak and engage …

2024 Projects Day Booklet, Seattle University

Projects Day Booklets

No abstract provided.

Undergraduate Catalog, 2024-2025, Valparaiso University

Undergraduate Catalogs

No abstract provided.

The Automated Fourth Amendment, Maneka Sinha

Faculty Scholarship

Courts routinely defer to police officer judgments in reasonable suspicion and probable cause determinations. Increasingly, though, police officers outsource these threshold judgments to new forms of technology that purport to predict and detect crime and identify those responsible. These policing technologies automate core police determinations about whether crime is occurring and who is responsible. Criminal procedure doctrine has failed to insist on some level of scrutiny of—or skepticism about—the reliability of this technology. Through an original study analyzing numerous state and federal court opinions, this Article exposes the implications of law enforcement’s reliance on these practices given the weighty interests …

High-Altitude Adaptation Is Accompanied By Strong Signatures Of Purifying Selection In The Mitochondrial Genomes Of Three Andean Waterfowl, A. M. Graham, P. Lavretsky, R. E. Wilson, K. G. Mccracken

School of Natural Resources: Faculty Publications

No abstract provided.

Teaching Community College Composition Students How To Use Ai Technology Ethically Through The Research Process, Amber H. Mabus

Doctor of Arts in English Pedagogy Capstones

Composition and rhetoric instructors' concern about the impact of Generative Artificial Intelligence (GenAI) on education has dramatically amplified since the launch of ChatGPT in November 2022, leading some to fear the end of our discipline as we know it. The controversy surrounding GenAI has led some educators to call for a complete ban on AI programs in the classroom, while others blindly accept what the technology has to offer without considering the risks involved, with a final group resting somewhere in the middle. Inspired by this debate, this study seeks to answer the research question: "Could teaching students how to …

Long-Term Croplands Water Productivity In Response To Management And Climate In The Western Us Corn Belt, M. Khorchani, Tala Awada, M. Schmer, V. Jin, G. Birru, S.R.S. Dangal, Andrew E. Suyker, A. Freidenreich

School of Natural Resources: Faculty Publications

No abstract provided.

A Quantum Fingerprinting Algorithm For Next Generation Cellular Positioning, Yousef Zook, Ahmed Shokry, Moustafa Youssef

Faculty Journal Articles

No abstract provided.

Office For Spiritual And Religious Life End Of Year Report 2023-2024, Lawrence University

Spiritual and Religious Life Annual Reports

No abstract provided.

Drop-Out Rates Among First-Generation Undergraduate Students In The United States, Rachel Alger

Ballard Brief

For first-generation college students, receiving an acceptance letter to an institution of higher education is a milestone: a means to secure economic and social opportunities not afforded to their family members. However, for many first-generation students, college acceptance does not equate to a college credential or degree, with only 27.4% graduating within 4 years. These lower attrition rates stem from a lack of familial financial resources and inadequate academic preparation in high school. Additionally, a different set of rules, jargon, and expectations between home life and institutions of higher education create a 'hidden curriculum' for first-generation students, making college completion …

2024 Travel Study Catalog, Illinois Math And Science Academy

Intersession Catalogs

No abstract provided.

Fractional Partial And Integral Differential Equations And Novel Conformable Double (Laplace -Sumudu) Transform, Ahmad Qazza, Shams A. Ahmed, Rania Saadeh, Tarig Elzaki

Applied Mathematics & Information Sciences

This article presents a novel methodology for dealing with fractional partial differential equations and fractional integral equations, subject to particular constraints, by combining the Laplace transform with the Sumudu transform. The conformable double Laplace-Sumudu transform (CDLST) method handles integrals and derivatives of fractional orders by using conformable derivatives. In this paper, we present a thorough examination of the fundamental traits and revolutionary developments related to the proposed shift. It is feasible to convert fractional partial differential equations and integral equations into algebraic equations by using the CDLST and its inherent properties. This modification makes finding solutions simpler, enabling quicker and …

Strengthening The Security Of The Kuwait International Airport By Detecting Threats In X-Ray Images, Abdallah S. Mohamed, Adel A. Sewisy, Khaled F. Hussain, Ahmed I. Taloba

Applied Mathematics & Information Sciences

The substantial number of false positives in X-ray analysis of images is one of the current problems, which causes delays and adds to the responsibilities of security staff. Maintaining security measures to confront growing threats and new technology is a continuing concern. Using a Convolutional Neural Network-Gated Recurrent Unit (CNN-GRU) model, this research suggests a novel strategy for upgrading the safety precautions at Kuwait International Airport. This research tackles the requirement for more precise and efficient threat detection, which is crucial for airport security. Utilizing the advantages of CNNs and GRUs is the goal of the CNN-GRU approach. The GRU, …

Novel Fractional Inequalities Of Opial’S Type Via Conformable Calculus, M. R. Kenawy

Applied Mathematics & Information Sciences

In this study, we employ Ho ̈lder’s inequality and the chain rule formula to deduce some Opial fractional inequalities. As a result, for α = 1, we derive numerous classical Opial type inequalities.

Fibonacci Riccati Method For Kdv Models With Dependent Space Time Coefficient, Fadhel Almalki

Applied Mathematics & Information Sciences

In this paper a number of findings present various ways of new research with novel class of trigonometric functions which unifies the properties of the well-known standard functions. From our previous knowledge, the important and significant role which investigated by the trigonometric functions in simplifying results in astronomy, physics and engineering, therefore, we may naturally predict that these new studies of trigonometric functions can lead to interpretations and results that have not appeared before and are new in mathematics, physics, biology, engineering and other branches of science. By introducing the variable-coefficient Riccati Fibonacci procedure, we investigate explicit solutions for some …

Odd Generalized Nadarajah-Hagaigai Log-Logistic Model With Modeling, Manal H. Alabdulhadi

Applied Mathematics & Information Sciences

In this article, we intend to introduce and study the odd generalized Nadarajah-Hagaigai log-logistic (OGNH-LL) model as a new extension of the log-logistic (LL) model. Some statistical features of the OGNH-LL model are computed. The four unknown parameters of the OGNH-LL model are estimated by employing the maximum likelihood (ML) technique. One real-world data set is utilized to highlight the importance and applicability of the OGNH-LL model.

Statistical Inference Of Weighted Exponential Distribution Under Partially Constant-Stress Accelerated Life Tests With Type-Ii Censoring Scheme, Fatimah E. Almuhayfith

Applied Mathematics & Information Sciences

This paper aims to adopt partially accelerated life tests model, under Type-II censoring scheme. The model parameters and the parameter of life are estimated by maximum likelihood, and Bayes methods. Approximate confidence interval under asymptotic distribution of maximum likelihood estimate, bootstrap confidence and Bayesian credible intervals are estimated. The developed model and its results are assessed and compared by Monte Carlo simulation study. Finally, a numerical discussion is considered in conclusion section.

Multiple Soliton Solutions Of The Korteweg-De Vries In The Frame Of The Time-Dependent Variable Coefficient, Fadhel Almalki

Applied Mathematics & Information Sciences

This paper aims to investigate exact multiple soliton solutions for Korteweg-de Vries (KdV) with variable coefficients. Based on the similarity transformation and some hyperbolic function methods, multiple wave kink and wave bell shape solutions of the KdV with time dependent variable coefficient are analyzed. Results of this study show that the shapes of multiple kink-type and bell-type solitons can be effectively controlled by selecting some specific form of self-similar variables.

Some Recent Research Trends In Fixed Point Theory With Applications, Hasanen A. Hammad

Applied Mathematics & Information Sciences

Inthisstudy,somefixed-point,coupled,tripled,andquadruplefixed-pointresultsforgeneralizedcontractivetypemappings under mild conditions in the setting of abstract spaces are obtained. Also, we established some solutions to integral equations, functional equations, functional Volterra-Fredholm integral equations, 2D Volterra integral equations, Riemann-Liouville integrals, Atangana- Baleanu integral operators, and the boundary value problem for singular coupled fractional differential equations are established. Moreover, a unique stationary distribution for the Markov process is discussed. Furthermore, a new faster iterative algorithm is created than the previous sober algorithms. The proposed algorithm is used to analyze convergence, stability, and data-dependence results. Finally, two numerical examples are also provided to highlight the behavior and effectiveness of our …

Numerical Treatment Of The Coupled Fractional Mkdv Equations Based On The Adomian Decomposition Technique, Jihan Alahmadi, Bashayer Aldossary, Emad A-B Abdel-Salam

Applied Mathematics & Information Sciences

The present research implements the decomposition Adomian approach of the approximation solution for the nonlinear coupled modification Korteweg-De Vries (KdV) model in space time fractional order with appropriate initial values. This method yields a power series calculation for the solution. This process does not require linearization, the concept of weak nonlinear nature assumption, or perturbation theory. A mathematical software like Mathematica or Maple has been used to evaluate the Adomian formulas of the consequent series solution. This procedure might additionally be applied to resolve various types of fractional order nonlinear mathematical physics models. A graphic discussion is provided regarding the …

Influence Of Non-Homogeneity, Rotation, Magnetic Field, And Initial Stress On Radial Vibrations In Thermo-Viscoelastic Isotropic Media, Mohammed A. Balubaid

Applied Mathematics & Information Sciences

This paper presents an innovative analytical approach to investigate the effects of rotation and initial stress on a magneto- thermo-viscoelastic non-homogeneous medium with a spherical cavity under periodic loading. The study focuses on analyzing the distribution of displacements, temperature, and stresses within the non-homogeneous medium using the generalized thermoelasticity framework based on the GL theory. The derived analytical solutions are extensively discussed, and the results are visually presented to illustrate the influences of rotation, initial stress, relaxation times, magnetic field, viscoelasticity, and non-homogeneity. Furthermore, comprehensive comparisons with prior research are conducted, encompassing scenarios with and without rotation, magnetic field, and …

Mathematical Analysis Of Working Capital Management In Mena Smes: Panel Data Insights, Amer Morshed

Applied Mathematics & Information Sciences

In this paper, we analyze working capital management strategies (aggressive vs. conservative) employed by 2901 MENA SMEs from 2007-2021, assessing their impact on long-term financial resilience. It offers crucial insights for MENA SMEs navigating their unique economic landscape and contributes to the discourse on developing economies. The findings, particularly relevant amid evolving financial technologies, empower MENA SMEs to refine their strategies and pave the way for further research in this dynamic field.

Comparative Analysis Of Time Series Prediction Models For Visceral Leishmaniasis:Based On Sarima And Lstm, Fathelrhman El Guma

Applied Mathematics & Information Sciences

Visceral leishmaniasis, a severe health disorder, is attributed to the microscopic parasite Leishmania. The parasitic illness possesses the capacity to pose a significant risk to human life and exhibits a variable prevalence across people worldwide. Using time series prediction techniques for VL might offer valuable insights to aid public health professionals in strategizing and implementing effective measures for VL prevention. This study presents a comparative analysis of time series forecasting techniques, specifically focusing on two methods: SARIMA and LSTM recurrent neural networks. Forecast performance evaluation involves utilizing monthly VL data acquired from district health offices from January 2000 to December …

Optimizing Preference Satisfaction With Genetic Algorithm In Matching Students To Supervisors, Azamat Serek, Meirambek Zhaparov

Applied Mathematics & Information Sciences

The allocation of students to supervisors is a crucial aspect of higher education, impacting the quality of guidance and support students receive for their academic projects. This paper explores the application of a genetic algorithm to optimize the matching process. The algorithm considers considers psychological compatibility between student and supervisor, and aims for maximization of preference satisfaction of students and supervisors regarding the match. Experimental results demonstrate high preference satisfaction (0.91), indicating effective alignment with students’ preferences. The algorithm’s time and space complexities show scalability, making it a promising solution for large-scale applications. Additionally, the workload distribution results highlight the …

Neutrosophic Fuzzy Logic-Based Hybrid Cnn- Lstm For Accurate Chest X-Ray Classification In Covid-19 Predictionneutrosophic Fuzzy Logic-Based Hybrid Cnn- Lstm For Accurate Chest X-Ray Classification In Covid-19 Prediction, Olfat M. Mirza, Ahmed H. Samak

Applied Mathematics & Information Sciences

The necessity for sophisticated and precise diagnostic instruments for the prompt recognition of COVID-19 patients has been highlighted by the continuing worldwide epidemic. In this regard, this study presents a unique method for accurately classifying X-ray images of chest in COVID-19 prediction by combining Neutrosophic Fuzzy Logic with a Hybrid CNN and LSTM architecture. Medical image analysis involves uncertainties and imprecise information, which is handled via Neutrosophic Fuzzy Logic. The suggested hybrid model offers a thorough comprehension of the spatial and temporal patterns in chest X-ray pictures by utilizing the advantages of CNN for feature extraction and LSTM for sequential …

Artificial Intelligence-Based Penetration Analysis Of Mental Health Education In Higher Vocational Culinary Chinese Education, Xu Zhang, Fuyuan Weng

Applied Mathematics & Information Sciences

In China, mental health education for students is currently a prominent focus of psychological research. On the other hand, recent studies use a questionnaire evaluation and analysis to examine students capacity to acclimate to the college experience. A thorough examination of psychological education had conflicting results. As a result, this research emphasizes how Chinese language instruction affects culinary vocational students views of mental health education. For this study, student and education datasets are first obtained. The education dataset is normalized using the normalization approach in the preparation step to remove any unnecessary education data. After that, at the feature extraction …