Digital Commons Network^™

The Future Of Ai: Join The Conversation, Jennifer Wojton, Cassandra Branham, Vijay Tummala, Laxima Niure Kandel, Kayla D. Taylor

Publications

Join the Conversation! The Future is AI? There is so much conflicting information about what AI is capable of, how it could/should be used, by whom and for what purpose. In this panel discussion, we hope to provide a baseline of information that will help all participants think critically and articulate thoughtful questions about the mechanics of AI, ethical use or non-use of AI in particular contexts (school, industry, business, art, etc.), and the impacts we are currently experiencing or are likely to experience. Hear from ERAU faculty of different disciplines to discuss what the current state of AI technology …

Haptic Processing: How The Shutter Button Shapes Photography, Sean Scanlan

Publications and Research

The goal of this essay is to explore the haptics of taking photographs in the digital age. More specifically, I examine the evolving relationship between the body and imaging technologies. The body must, somehow, interact with the camera shutter, whether the shutter is a simple mechanical door or an electrical timing network switch. Human intention has to activate the switch via a button, even if this intention is complicated: since 2012, mobile phones can take photos using voice commands, relieving the need to physically touch the shutter button. One does not necessarily need to use the fundamental levers often associated …

This One Weird Trick Gets Users To Stop Clicking On Clickbait, Ankit Shrestha, Arezou Behfar, Sovantharith Seng, Matthew Wright, Mahdi Nasrullah Al-Ameen

Computer Science Student Research

Clickbait, masked behind interesting headlines and thumbnails, is often used to spread misinformation and trick users into clicking on social media posts or links that direct them to malicious websites. To help users protect against clickbait, we examined interventions based on persuasion theories including designs that used social consequence, personal consequence, and badges. To this end, we first conducted a preliminary study to translate the participants’ feedback into improving our initial designs, followed by a lab study with 20 participants (60% Male, 40% Female; 18-44 years old) aimed at understanding their perceptions of the improved interventions; we further updated our …

Emerging Technologies For Forensic Genetic Identification, Lilly Llanos

Senior Honors Theses

There are many new innovations in forensic science that are being developed for the identification of biological evidence. These techniques include next-generation DNA sequencing, DNA phenotyping, and forensic genetic genealogy. This thesis will explore each, as well as newer applications of proteomics. The methodologies, reliability, practicality of cost and training, moral implications, and past research of each will be discussed. Finally, some ideas for future research and steps to drive growth and greater understanding will be suggested. This will encourage further innovations and the increased acceptance of forensic evidence in court. Each method was found to have both advantages and …

Nanostructure Retention To 1100 °C In Soft-Templated Niobium Tungstates Using Dual-Carbon Strategy, Sean C. Wechsler, Alexander Gregg, Coby S. Collins, Santosh Kiran Balijepalli, Morgan Stefik

Faculty Publications

Mesoporous metal oxides (MMOs) have diverse applications including energy storage, catalysis, and separation membranes. Block polymer structure directing agents enable the control of morphology and pore size, however preservation of the nanostructure is often limited to a narrow range of heat treatment temperatures which constrains the tailoring of defect chemistries. High temperature treatments typically lead to collapse of the porous structure as surface area is reduced during crystal growth. Here, using a mesoporous niobium tungstate it is shown that neither in situ carbon generation nor ex situ carbon infiltration alone enable preservation of the ordered mesostructure at temperatures high enough …

Tax Experience Isn’T Everything: A Tale Of Two Justices., Reuven S. Avi-Yonah

Articles

Any student of federal income taxation is familiar with a series of important Supreme Court tax decisions written by Justice Harry Blackmun (associate justice, 1970-1994). They would also know of three important decisions written by his contemporary, Justice Thurgood Marshall (associate justice, 1967-1991). It is interesting to compare the two, because Blackmun was the only recent justice with extensive tax practice experience, whereas Marshall had none. Yet, most of Blackmun’s tax opinions were wrong while Marshall’s opinions were right.

Multidisciplinarity And Interdisciplinarity In Law, Yael Efron, Yossi Korazim-Kőrösy, Mohammed S. Wattad

Cleveland State Law Review

This article aims to dismantle walls and barriers, tracking the contemporary trends in law that acknowledge the significant value of interdisciplinary cooperation. We strive to explore how collaborative contemplation on a legal issue, incorporating two or more academic and practical viewpoints, can enhance interactions across multiple disciplines, improve comprehension of intricate problems, and guide interventions. Ultimately, such collaborations can yield an innovative and synergistic knowledge base, fostering the development of new theories capable of explaining complex human phenomena from varied perspectives. These diverse vantage points are expected to generate superior and more fitting outcomes than those achievable by the field …

Smart Resolutions: Exploring The Role Of Artificial Intelligence In Alternative Dispute Resolution, Nadia Ahmad

Cleveland State Law Review

Artificial intelligence (AI) has had a significant impact on most industries, including the legal landscape. Effective AI incorporation has removed barriers to access to justice, resolving issues such as backlogged court systems and inadequate resources for pursuing claims. Similarly, the expediency and cost-effectiveness associated with alternative dispute resolution (ADR) have established ADR as a mainstay in most countries to enhance legal accessibility. It was inevitable that AI and ADR were integrated to efficiently deliver justice.

Most automated ADR systems implemented thus far have been with human intervention. As machine learning develops, there are efforts to completely automate ADR, and this …

Diabetes Behind Bars: Dissecting Diabetic Deliberate Indifference And Delivering Inmates A More Workable Standard Under The Fourth Amendment, Maggie J. Malloy

Cleveland State Law Review

This Note examines the inadequacies of the current Eighth Amendment framework in safeguarding the constitutional rights of diabetic inmates. It contends that the subjective element of the two-pronged Eighth Amendment claim—often used to assess deliberate indifference—leads to unfair and inconsistent outcomes. To address these shortcomings, this Note draws inspiration from the objective analysis employed in Fourth Amendment excessive force claims, specifically referencing the Supreme Court’s decision in Graham v. Connor. This new framework eliminates the subjective element, and instead replaces it with three objective factors courts should consider when evaluating Eighth Amendment violations related to diabetic medical care. Through …

Faculty Senate Agenda March 3, 2025, Utah State University

Faculty Senate & Faculty Senate Executive Committee

• 3:00 Call to Order
• Approval of Minutes - February 3rd minutes
• 3:05 University Business
• 3:20 Faculty Senate Business
• 3:35 Information
• EPC Report - February 3, 2025
• Emergency/Risk Survey
• 3:45 Report
• School of Graduate Studies
• Professional Responsibilities (PRPC)
• Parking and Transportation
• 4:00 New Business
• 4:05 Old Business
• Adjourn: 4:30

Advanced Ligo Detector Performance In The Fourth Observing Run, E. Capote, W. Jia, N. Aritomi, M. Nakano, V. Xu, R. Abbott, I. Abouelfettouh, R. X. Adhikari, Francisco Llamas Villarreal, Volker Quetschke

Physics & Astronomy Faculty Publications

On May 24, 2023, the Advanced Laser Interferometer Gravitational-Wave Observatory (LIGO), joined by the Advanced Virgo and KAGRA detectors, began the fourth observing run for a two-year-long dedicated search for gravitational waves. The LIGO Hanford and Livingston detectors have achieved an unprecedented sensitivity to gravitational waves, with an angle-averaged median range to binary neutron star mergers of 152 and 160 Mpc, and duty cycles of 65.0% and 71.2%, respectively, with a coincident duty cycle of 52.6%. The maximum range achieved by the LIGO Hanford detector is 165 Mpc and the LIGO Livingston detector 177 Mpc, both achieved during the second …

The Role Of Homocysteine Redox Chemistry In Biomolecular Mechanisms, Megha Gupta

Dissertations and Theses

Homocysteine at elevated levels is a well-known independent risk factor for cardiovascular disease. However, it is still unclear, after large scale clinical trials, involving tens of thousands of patients, whether homocysteine is a disease mediator or marker. The disconnect between the basic science showing the association of homocysteine with cardiovascular disease and the outcomes of clinical trials based on vitamin therapy for homocysteine lowering, highlights the need for insights into the molecular mechanisms linking homocysteine to cardiovascular disease and other pathologies. For example, elevated homocysteine levels have also been associated with risk for stroke, venous thromboembolism, Alzheimer's disease, neural tube …

A Novel Sensitivity Maximization At A Given Specificity Method For Binary Classifications, Seyyed Mahmood Ghasemi, Chunhui Gu, Johannes F Fahrmann, Samir Hanash, Kim-Anh Do, James P Long, Ehsan Irajizad

Faculty, Staff and Student Publications

In the cancer early detection field, logistic regression (LR) is a frequently used approach to establish a combination rule that differentiates cancer from noncancer. However, the application of LR relies on a maximum likelihood approach, which may not yield optimal combination rules for maximizing sensitivity at a clinically desirable specificity and vice versa. In this article, we have developed an improved regression framework, sensitivity maximization at a given specificity (SMAGS), for binary classification that finds the linear decision rule, yielding the maximum sensitivity for a given specificity or the maximum specificity for a given sensitivity. We additionally expand the framework …

Predictors Of Mental Health Seeking Behaviors Among Nigerian Immigrants, Francisca Iroh-Donawa

Walden Dissertations and Doctoral Studies

Understanding the mental health seeking attitudes (MHSA) of Nigerian immigrants is a social concern for psychologists as it provides valuable information for developing outreach and clinical interventions. Unfortunately, there is scant and inconclusive research addressing potential predictors of MHSA among Nigerian immigrants, thus leaving clinicians with an unclear picture in understanding and the promoting the wellbeing of this vulnerable population. To address this gap, this study utilized the theory of planned behavior and Berry’s model of acculturation to explore if acculturation (positively), length of stay in host country (positively), religious and spiritual beliefs (negatively), and gender (women higher than men) …

Faraday Waves And Period Tripling In A Horizontal Circular Tank, Stuart Colville, Y. M. Scolan, Francesco Gambioli, Deborah Greaves, Edward Ransley, Yeaw Chu Lee

School of Engineering, Computing and Mathematics

Understanding wave kinematics is crucial for analysing the thermodynamic effects ofsloshing, which can lead to pressure drops in non-isothermal cryogenic fuel tanks. Inthe research reported here, Faraday waves in a horizontal circular tank (partially filledwith water) under vertical excitation are investigated. The tank geometry is referred toas a horizontal circular tank throughout, with its circular face oriented perpendicularto the horizontal plane. Firstly, this paper addresses the eigenvalue problem throughlinear potential flow theory, in order to provide theoretical evidence of Faraday wavesin horizontal circular tanks, the impact the density ratio has on the eigenvalues is thenconsidered. Secondly, an experimental investigation testing …

The Role Of Artificial Intelligence In Transforming Physical And Online Fashion Retail: Enhancing Experiences, Driving Sustainability, And Fostering Innovation, Andrew Burnstine

Faculty and Staff Publications & Presentations

This study explores the transformative role of artificial intelligence (AI) in revolutionizing the fashion industry, with a focus on enhancing consumer experiences, promoting sustainability, and driving innovation in retail. It examines AI applications in personalized recommendations, virtual try-ons, and supply chain optimization, while also addressing societal implications. Sustainability is a central theme, highlighting how AI minimizes overproduction, enables circular fashion, and encourages conscious consumerism. Case studies, such as Nike’s AI-powered retail stores and Lynn University’s Surreal Fashion Show, demonstrate practical applications and innovations during the COVID-19 pandemic. This research synthesizes insights from reports by The Business of Fashion and McKinsey …

The "Distributed Ghost" With Independence - A Study On Computational Ability Of Skewed Asynchronous Cellular Automata, Shrey Salvi, Shlok Shelat, Sumit Adak, Souvik Roy

Northeast Journal of Complex Systems (NEJCS)

This paper explores the computational ability of ``distributed ghost" cellular automata (CA) \cite{10.1162/artl_e_00450} after introducing independence in the updating scheme. Traditionally, the CA system dictates all cells to update together following the concept of the global clock. To introduce independence in the system, CA researchers have introduced the notion of fully asynchronous updating scheme with atomicity property where, again, the CA system dictates two neighbouring cells not to update together. In this study, we explore the skewed asynchronous system after breaking the atomicity property. Specifically, we study the computational ability of the proposed skewed asynchronous system in the context of …

Urban Heat Dynamics In Pune: The Influence Of Land Cover And Local Climate, Arpit Tiwari, Preethi Nanjundan, Ravi Ranjan Kumar, Ananya Karmakar, Satyaban Bishoyi Ratna

Northeast Journal of Complex Systems (NEJCS)

Urban areas with high population density and extensive infrastructure development have been experiencing an increasing strain on the local heat budget, leading to a surge in heat-related illnesses and discomfort. This study examined the impact of climate and land use as heat islands in Pune, India, from 2012 to 2023 at six different locations representing varying degree of urbanization. Satellite land cover observations revealed that 55.17% of the total area was urbanized in the city itself, which was limited to 44.8% in 2012. This urbanization has significantly impacted the increasing tendency of maximum temperature (T_max; 0.13℃ to 1.63℃ …

Analysis Of Systematic Trade-Offs Between Military And Healthcare Expenditure Alongside Gdp Growth Of Select Asian And Western Exporting Economies In The 21st Century, Rahul Balamurugan, Carlos Gershenson, Preethi Nanjundan, Hiroki Sayama

Northeast Journal of Complex Systems (NEJCS)

This study explores the complexity in the trade-offs between military expenditure, healthcare expenditure, and GDP growth across select Asian nations and major weapon-exporting countries, examining how nations allocate finite resources between national security and human well-being over the past two decades. Using a systems science approach, the research integrates Granger causality testing to analyze temporal and directional relationships among GDP growth, military expenditure, and healthcare expenditure, uncovering their dynamic interdependencies. The methodology includes trend and slope analysis, Granger causality testing, outlier detection, and clustering to identify heterogeneity in resource allocation strategies. Developed, weapon-exporting nations exhibit complementary trends, with strong causality …

Modelling And Performance Assessment Of A Two-Bed Adsorption Chiller At Different Operating Conditions, Majdi Amin

Yanbu Journal of Engineering and Science

The study aims to assess the performance of an adsorption chiller using the Maxsorb III- methanol as an adsorbent pair. A modified transient lumped parameter model was deve- loped to evaluate the dynamic behavior of the system at various operating parameters. Methanol is used as refrigerant as it has a significant latent heat of evaporation, high no- rmal boiling point, low melting point and environmentally friendly. The results showed that the modified transient lumped parameter model can predict well the dynamic behav -ior of the adsorption chiller under different operating conditions. The system was able to produce about 13.65 kW …

Arbitrary (K, L) States-Solutions Of The Dirac And Schrödinger Equations Interacting With Improved Spatially-Dependent Mass Coulomb Potential With An Improved Coulomb-Like Tensor Interaction Model For H-Atoms From 3d-Rncs And 3d-Nrncs Symmetries, Abdelmadjid Maireche

Yanbu Journal of Engineering and Science

The deformed Dirac equation has been investigated, in the context of 3D-relativistic noncommutative space (3D-RNCS) symmetries, using the improved spatially dependent mass Coulomb potential with an improved Coulomb-like tensor interaction (ISDM(CP- CLTI)) model under the conditions of spin symmetry and pseudospin symmetry. The ISDM(CP-CLTI) model is the combining the spatially dependent mass Coulomb potential with the Coulomb-like tensor interaction (CP-CLTI) and the two central terms that are generated to the topological defects of spacespace. Within the confines of the parametric Bopp shift method and conventional perturbation theory, the new relativistic and non-relativistic energy eigenvalues for the hydrogen atoms (H-atoms), such …

Harris Hawks Approach For Distinct Economic Dispatch Problems, E. Ali

Yanbu Journal of Engineering and Science

In this article, a nature inspired optimization approach is suggested, which is named Harris Hawks Approach (HHA). The prime inspiration of HHA is the mutual attitude and chasing way of Harris' hawks in kind named surprise swoop. In this brilliant drawing, diverse hawks swoop victim cooperatively from distinct ways in an endeavor to startle it. Harris hawks can detect a sort of chasing paradigms rely on the spirited nature of scenarios and escaping styles of the victim. HHA is developed for handling the Economic Dispatch (ED) process. Since the ED is a non-linear, complex and obliged optimization process, its prime …

Using Graphene Materials To Enhance The Multi-Effects Solar Still Performance, Saeed Almalowi

Yanbu Journal of Engineering and Science

The exponential growth of living and the growth of the population in the world have led to a large demand for potable water. The shortage of fresh water in the desert countries, such as rivers, lakes, and drinkable water wells needs sustainable solutions. The use of solar energy which is abundant in KSA throughout the year to convert the salty water of seas and oceans to freshwater is the most promising solution to meet the increasing of potable water needs. Many studies investigated the applications of the direct solar still which is a promising desalination technique since it costs very …

Optimum Percentage Of Volcanic Tuff In Concrete Production, Mohmd Sarireh

Yanbu Journal of Engineering and Science

The Tafila area (Jabal Al Hala) is covered with volcanic tuff, which has been tested and studied for its possible use as a construction material in the production of ordinary concrete. The volcanic tuff material was used at 10, 20, 30, 40, and 50% mix proportion of the materials in the concrete mix. It was subsequently tested for density, compressive strength, and flexural strength. The density of volcanic concrete (VC) ranged from 2195 to 2297 kg/m³. At 20% of volcanic tuff or volcanic aggregate (VA), the density of VC was 2285 kg/m3 and 2310 kg/m³, the compressive strength was 17 …

Optimal Evaluation Of Photovoltaic Cells Parameters Using Euclidean Distance Calculations, Ahmad Al-Subhi

Yanbu Journal of Engineering and Science

The relationship between current and voltage describes the features and characteristics of the photovoltaic (PV) cells. This relationship mainly depends on the equivalent circuit parameters of the PV cell model. Accurate estimation of these parameters is crucial for analyzing the performance of PV systems. This paper proposes a simple and efficient method to estimate the equivalent circuit parameters of the PV cells/modules. The main concept of the proposed method is to optimize the PV series resistance value using Euclidean distance calculations in such a way to get the corresponding best maximum power conditions. Various assessments have been employed in this …

A Comparative Analysis Of Various Simulation Software For Grid-Connected Residential Building: A Case Study At Jeddah, Saudi Arabia, Majid T. Amin

Yanbu Journal of Engineering and Science

Saudi Arabia receives significant energy daily from solar radiation, making it one of the best places to use solar energy to meet its energy needs. Grid connected Photovoltaic (PV) systems provide the electrical energy available from the solar radiation into the grid. Different simulation tools are currently available used to assess the performance of solar PV systems. The present study was conducted to design and evaluate the performance of 15 kW grid-connected solar PV system under climatic conditions of in Jeddah, Saudi Arabia. Two simulation models, Helioscope and PVsyst were used in the analysis and the results were then compared. …

Comparative Analysis Of Water Cooler For Different Working Fluids: Energy And Exergy Approach, Majdi T. Amin

Yanbu Journal of Engineering and Science

Enhancing the performance of traditional vapor compression cooling cycles is an important aspect in the quest to minimize global energy consumption, to own sustainable energy systems soon, and to preserve the environment. This study performed a comparative analysis of the performance of a water cooler with different working fluids to replace R143a and improve system performance. A mathematical model derived from energy and exergy analysis is developed for the evaluation of the effect of operating conditions on the system COP, exergetic losses, and exergetic efficiency. The evaluation has been conducted for evaporation and condensation temperatures ranging between -30°C to 15°C …

Hygrothermal Performance Of Roofs With High Initial Construction Moisture Subjected To Hot Climate, Hamed H. Saber

Yanbu Journal of Engineering and Science

Moisture accumulation in the building components/assemblies that form building envelopes can lead to material deterioration and moisture related issues such as mould growth. As a part of the building envelope, this study focusses on assessing the moisture performance and energy performance (i.e., hygrothermal performance) of roofing systems. As roofs can be built with high initial construction moisture, numerical simulations were conducted with and without high initial construction moisture in order to investigate: (a) the hygrothermal performance of cool and black roofs having material layer with high initial construction moisture content, (b) the time needed so that the moisture content reaches …

Hough Transform Based Deep Belief Network And Improved Homomorphic Encryption For Cloud Security Based Intrusion Discovery, Sivakumar Ramu, Ramakrishnan Ramamoorthy, Rameshkumar Ranganathan

Yanbu Journal of Engineering and Science

The enlarge development in information technology is cloud computing, which offers minimized infrastructure cost, lower maintenance, greater flexibility and scalability. Nowadays, the network security plays vital role in enterprises and organizations. The influence vulnerabilities were occurred due to attackers based on network configuration. Because of cloud and IoT growth, enlarge amount of data obtained from IoT sensor and devices are transmitted to cloud data centers. Several security issues like focused web servers in the cloud and information collection mishandling are faced by storage and cloud-based computing when offering us considerable convenience. For that reason, this article proposes a deep learning-based …

Dc Motor Control Using Model Reference Adaptive Control, Mohamed I. Mosaad

Yanbu Journal of Engineering and Science

Despite having higher maintenance costs than AC motors, DC motors had been widely employed in the industry due to their outstanding speed control capabilities. This employment increased due to the DC output of some renewable sources recently. This article introduces the speed control of DC motors using model reference adaptive control (MRAC). This control is achieved through regulating the armature voltage at different load changes. A comparison between the proposed adaptive controller and optimized PI controller using the elephant herding optimization (EHO) is presented. The PI controller parameters were optimality adjusted to minimize the integral absolute error, minimum overshoot, and …