Digital Commons Network^™

Iot Revolutionizes Humidity Measurement And Management In Smart Cities To Enhance Health And Wellness, Pushan Kumar Dutta, Bhupinder Singh, Al-Sayed K. Towfeek, Jovanna Pantelis Adamopoulou, Antonis Nikos Bardavouras, Wilson Bamwerinde, Benson Turyasingura, Natal Ayiga

Mesopotamian Journal of Artificial Intelligence in Healthcare

This paper sets itself in a context of examining how IoT technology is disrupting and revolutionizing the monitoring and control of relative humidity in different spheres of smart cities with special reference to the enhancement of well-being in the information society. The authors discuss the current emergent research topics in IoT-based humidity sensors, wireless communication systems, and big data analytics for monitoring and controlling the humidity in real time. The paper also presents an outlook into various fields such as agriculture, healthcare, intelligent houses, industries, as well as the environment, and presents an indication of how managing humidity accurately enhances …

Hybrid Model Approaches For Accurate Time Series Predicting Of Covid-19 Cases, Hussein Alkattan, Bashar Talib Al-Nuaimi, Alhumaima Ali Subhi, Benson Turyasingura

Mesopotamian Journal of Artificial Intelligence in Healthcare

This study compares the performance of ARIMA, LSTM, and hybrid models in predicting COVID-19 cases and analyzing forecast errors. Utilizing real-world data, the models were assessed for accuracy and trend prediction over numerous months. Heatmaps of prediction errors revealed that the hybrid model reliably outperformed ARIMA and LSTM by accomplishing lower error extents. The findings highlight the preferences of combining statistical and deep learning approaches for time series predicting. The results contribute to progressing predicting accuracy, which is basic for pandemic response arranging and public health administration.

An Extensive Examination Of The Iot And Blockchain Technologies In Relation To Their Applications In The Healthcare Industry, Karthik Kumar Vaigandla, Madhu Kumar Vanteru, Mounika Siluveru

Mesopotamian Journal of Computer Science

Numerous domains have been transformed by the communication technologies made possible by the Internet of Things (IoT), one of which is health monitoring systems. Patterns associated with diseases and health conditions can be identified through the utilization of machine learning and cutting-edge AI techniques. Currently, scientific endeavours are concentrated on enhancing IoT-enabled applications such as medical report administration, prescription traceability, and infectious disease surveillance through the amalgamation of blockchain technology(BCT) and machine learning(ML) models. Although recent advancements have attempted to increase the adaptability of blockchain(BC) and ML for IoT applications, there are still a number of crucial considerations that must …

Generative Artificial Intelligence And Cybersecurity Risks: Implications For Healthcare Security Based On Real-Life Incidents, Malik Sallam, Kholoud Al-Mahzoum, Mohammed Sallam

Mesopotamian Journal of Artificial Intelligence in Healthcare

Background: The potential of generative artificial intelligence (genAI) tools, such as ChatGPT, is being increasingly explored in healthcare settings. However, the same tools also introduce significant cybersecurity risks that could compromise patient safety, data integrity, and institutional trust. This study aimed to examine real-world security breaches involving genAI and extrapolate their potential implications for healthcare settings. Methods: Using a systematic Google News search and a consensus-based approach among the authors, five high-profile genAI breaches were identified and analyzed. These cases included: (1) Data exposure in ChatGPT (OpenAI) due to an open-source library bug (March 2023); (2) Unauthorized data disclosure via …

A Comparative Study Of Chest Radiographs And Detection Of The Covid 19 Virus Using Machine Learning Algorithm, Shaimaa Q. Sabri, Jahwar Y. Arif, Ghada A. Taqa, Ahmet Çınar

Mesopotamian Journal of Computer Science

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak that is causing coronavirus disease 2019 is being deemed a pandemic because of its quick spread around the globe.  Because chest X-ray pictures have shown to be beneficial in monitoring a variety of lung disorders, they have recently been utilized to monitor COVID-19 disease. It takes time to manually analyze a lot of chest X-ray pictures. Several previous studies have suggested machine-learning (ML)-based techniques for COVID-19 detection from chest X-ray pictures as a solution to this issue. Though little effort has been made to use traditional machine learning (ML) methods, the …

Introduction To Wi-Fi 7: A Review Of History, Applications, Challenges, Economical Impact And Research Development, Sallar Salam Murad, Rozin Badeel, Banan Badeel Abdal, Tasmeea Rahman, Tahsien Al-Quraishi

Mesopotamian Journal of Computer Science

Wi-Fi 7, commonly referred to as IEEE 802.11be, is the most recent development in wireless communication technology. It provides significant improvements in terms of speed, capacity, and efficiency. The purpose of this study is to investigate Wi-Fi 7, a standard for wireless communication technology, with a particular focus on the technological advancements and security issues associated with it. In addition, it offers historical perspectives and investigates the institution's present capabilities as well as its potential for the future. The purpose of this study is to provide a complete examination of the development of Wi-Fi technology and its influence on a …

Deep Learning Model For Hand Movement Rehabilitation, Reem D. Ismail, Qabas A. Hameed, Mustafa Abdulfattah Habeeb, Yahya Layth Khaleel, Fatimah N. Ameen

Mesopotamian Journal of Computer Science

Electroencephalography (EEG) can control machines for human purposes, especially for disabled people doing rehabilitation exercises or regular tasks. Brain-computer interface (BCI) for Robotic hand uses deep learning to convert (EEG) brain activity into orders for robotic hand allowing users to move their hands right or left by the movement imagining. It could enable paralyzed individuals to perform basic hand movements and help in rehabilitation robots that help stroke patients regain hand function by offering guided exercises based on machine learning interpretations of their movements and intents. Artificial intelligence algorithms, particularly deep learning, classify and recognize patterns and intents implicit brainwaves …

Potato Disease Identification Using Transfer Learning Approaches, Tarza Hasan Abdullah

Mesopotamian Journal of Computer Science

Potato crop is one of the prominent consumed foods by human beings. When potato crops are infected by diseases it affects farmers negatively and to run in a loss. Therefore, early detection of the potato crop disease can play a vital role in minimizing the loss of the farmers. Nowadays, artificial intelligence technologies, more specifically deep learning techniques, provide solutions to many crops disease-related problems. However, training deep learning models requires a high computational power and huge amount of data as they are data hungry models. Also, designing a custom CNN models a difficult task and there are some variations …

Enhancing Motion Detection In Video Surveillance Systems Using The Three-Frame Difference Algorithm, Suhaib Qassem Yahya Al-Hashemi, Majid Salal Naghmash, Ahmad Ghandour

Mesopotamian Journal of Computer Science

This paper outlines a methodology for motion detection in video surveillance systems, leveraging advanced algorithms and TCP/IP networks for real-time data acquisition and analysis. The primary focus is on the implementation of the Three-Frame Difference Algorithm, which detects moving targets by analyzing the differences between three consecutive video frames. This method significantly reduces redundant data transmission and storage, addressing the challenges posed by limited wireless network capabilities. The surveillance model, designed in MATLAB using SIMULINK, integrates computer vision systems with embedded coders to facilitate effective communication and processing of video data. The results demonstrate the system's capability to detect motion …

Computer Networking And Cloud-Based Learning/Teaching Environment Using Virtual Labs Tools: A Review And Future Aspirations, Mishall Al-Zubaidie, Raad A. Muhajjar, Lauy Abdulwahid Shihabe

Mesopotamian Journal of Computer Science

Physical laboratories for practical classrooms in computer networks can be prohibitively expensive, as well as requiring regular hardware/software upgrades. With Netkit and similar software, network laboratories can be set up in a computer lab, but the setup is complicated and each student still needs their own computer. Thanks to the Cloud-based infrastructure, Netkit is now available in pre-configured Amazon elastic compute Cloud (EC2) instances. This research reviews and introduces educational computer networks. Furthermore, a web interface is used to allow remote access to numerous lab scripts instantiated on the Cloud. This study also describes how to use the Cloud to …

National Theatre, Playbill, New York, New York, 1936

Documents

National Theatre, playbill for "Ethan Frome, A Dramatization of Edith Wharton's novel 'Ethan Frome,'" by Owen Davis and Donald Davis, with Pauline Lord, Ruth Gordon, and Raymond Massey, New York, New York, 1936 April 18.

Smithsonian National Portrait Gallery, Script, Washington, D. C., 2009

Documents

Smithsonian National Portrait Gallery, script for "Swift to My Wounded, Walt Whitman and the Civil War," written and adapted by E. Warren Perry, Jr., Washington, D. C., 2009.

Theatre Guild, Alvin Theatre, Program, New York, New York, 1934

Documents

Theatre Guild, Alvin Theatre, program for "Mary of Scotland, A New Play" by Maxwell Anderson, with Helen Hayes, Philip Merivale, and Helen Menken, New York, New York, beginning 1934 April 23.

"The Reconversion", C. 1940

Documents

"The Reconversion" song from a handbound journal compiled by Capt. Richard Sanderson, a flight surgeon with the 400^th Squadron of the 90th Bombardment Group. The 90th was also known as the Jolly Rogers. First organized at Key Field in Mississippi in April 1942, the 90th B.G. flew out of bases in Australia and New Guinea until VJ Day and after that transported Allied prisoners from Okinawa to Manila, until November 1945, when it ceased operations.

Progress And The Taking Of Indigenous Land, Ezra Rosser

Scholarly Articles in Law Reviews & Journals

The taking of Indigenous land in furtherance of other societal goals is so ubiquitous and so fundamental to the American project that sometimes acts of dispossession are not even recognized as such. This Article argues that the generally accepted understanding of Hawaii Housing Authority v. Midkiff, a key case of the American takings law canon, is wrong because it overlooks Native Hawaiian claims to the land taken. Hawai‘i’s Land Reform Act allowed tenants a right to purchase land over the objections of the owner of the underlying property and in Midkiff the U.S. Supreme Court said that states had the …

Digital Bank Holidays, Hilary J. Allen

Scholarly Articles in Law Reviews & Journals

The March 2023 run on Silicon Valley Bank spurred renewed debate about how to structure deposit insurance to best eliminate future bank runs. This Article argues, however, that deposit insurance cannot be relied upon to eliminate all bank runs, especially if technological developments create potential new bank run triggers that deposit insurance may not be responsive to. We may be expecting too much of deposit insurance, and so it is worth considering other tools that might be useful in responding to future bank runs and broader banking panics. One such tool is the “bank holiday,” last deployed in the United …

Why The Supreme Court Rejected The Prospect Theory Of Copyright Scope, Michael W. Carroll

Scholarly Articles in Law Reviews & Journals

In Google LLC v. Oracle America, Inc. (“Google v. Oracle”), and again in Andy Warhol Found. for the Visual Arts, Inc. v. Goldsmith (“Warhol”), the parties and various amici presented the Court with a variety of arguments about the relationship between a copyright owner's right to make derivative works from a protected work and a user's right to make fair uses of that same work. At bottom, these arguments were about the proper, or even optimal, scope of copyright. This Essay argues that these arguments were instead grounded in a form of ““prospect theory” of copyright scope that would give …

The Bridwell Quarterly. Issue 22, Winter 2024, Michelle Ried

Bridwell Library Publications

No abstract provided.

Justice William J. Brennan Jr.'S Teleological Jurisprudence And What It Means For Constitutional Interpretation Today, Susan D. Carle

Scholarly Articles in Law Reviews & Journals

Observers commonly think of the Warren and Roberts Courts as polar opposites in their modes of constitutional interpretation. But how different are their approaches really? To be sure, the values that underlie the jurisprudence of the Warren and Roberts Courts are dramatically different, but their methodologies for constitutional adjudication are similar in a crucial respect: both Courts frequently employ a teleological approach. They look, in other words, to ends outside of the law to determine the direction in which constitutional law should be heading.

To prove this point, this Article examines the methods and values Justice William J. Brennan Jr. …

Developments At The United Nations International Law Commission On Sea-Level Rise, Claudio Grossman

Scholarly Articles in Law Reviews & Journals

Sea-level rise is a pressing global challenge that could generate catastrophic consequences for humankind. The implications for States and people all over the world are grave, making rising sea-levels a matter of utmost urgency. This paper will examine some of the challenges presented by the phenomenon of sea-level rise in relation to international law with a focus on the analysis undertaken by the Study Group on Sea-Level Rise (“Study Group”) of the United Nations International Law Commission (“ILC”).

Natural Languageprocessing,Understandingslang And Colloquialspeech, Beau Miller

Honors

Within a culture, slang and colloquial speech act as transient elements within everyday vernacular. These phrases and sayings, while teachable to a generalized Natural Language Processing model, present certain issues concerning a model’s ability to keep up to date with this ever-changing language. This research project seeks to determine the cause of these issues and what potential solutions may exist.

Collectivism, Individualism, And Cyber Crime: An Evaluation Of The United States, The Netherlands, China, And Pakistan, Rook Wiese

Honors

Scholars have exhaustively examined the larger role social and cultural forces play in determining and shaping criminal behavior. Many of these scholars have examined a dichotomy that sees modern states as falling into either a culture of broad collectivism or one of clear individualism. The relatively recent emergence of cybercrime, however, raises the question of whether this dichotomy affects a propensity for internalized cybercrime. In focusing on four states, China and Pakistan as generally accepted collectivist cultures and the United States and the Netherlands as generally accepted individualist cultures, this research seeks to examine the extent to which, if at …

Do Online Proctoring Software Abide By Standard Data Protections?, Tristan Stapert

Honors

In the aftermath of the COVID-19 pandemic, schools adopted new software to allow for online learning. Online exam proctoring has seen rapid growth in both K-12 and higher education. Even high stakes exit exams, such as the bar exam, have seen the use of online proctoring software since the pandemic. This rapid migration towards online proctoring has led to issues concerning test integrity and data security. The security of online proctoring suites is critical due to their extensive access to student devices and sensitive information. Online proctoring suites have the capabilities to assess and configure student devices, access the microphone …

Analyzing American Voters’ Positive And Negative Responses To Ai-Generated Political Advertisements, Grace Schofield

Honors

AI-generated political ads have entered the public sphere, but what responses do these ads get from American voters? If voters respond positively to the ads, those could be a viable path political campaigns can venture down. To determine voter responses, a survey will be delivered to a representative sample of the American voting population across age groups, gender, and political leaning, among other areas. Research showed that voters responded negatively to advertisements containing AI-generated imagery overall and were able to identify AI-generated images. They felt more negatively about advertisements when they believed the advertisements contained AI-generated imagery before their suspicions …

Assessing Security Flaws In Modern On-Board Precision Farming Systems, Joseph Boyd

Honors

Precision farming equipment introduces interconnected technologies into the agricultural sector. The importance of agriculture to the industrial and national operations gives this technology a high value to individual and nation-state actors seeking to disrupt agricultural operations. This study aims to utilize a lab simulating the core components of an on-board precision farming machine to discover and analyze potential security vulnerabilities on these systems. Due to issues found during the project, no viable vulnerabilities were discovered or analyzed. A more robust lab should be utilized to find results that reflect an interconnected machine.

An Accuracy-Shaping Mechanism For Competitive Distributed Learning, Chao Huang, Justin Dachille, Xin Liu

School of Computing Faculty Scholarship and Creative Works

In competitive distributed learning, organizations face the challenge of collaboratively training machine learning models without sharing sensitive raw data, while competing for the same customer base using model-based services. Federated learning is an extensively studied distributed learning approach, but it has been shown to discourage collaboration in a competitive environment. The reason is that the shared global model is a public good, which can lead to intense organization competition and hence small incentives for collaboration. To address this issue, this paper uses SplitFed learning (SFL) for model training and proposes an accuracy-shapring mechanism to incentivize inter-organizational collaboration. SFL divides the …

Specific Motivational Effects On Students After Experiencing An Imaginative Vr “Molecular World”, Elliot Hu-Au

School of Computing Faculty Scholarship and Creative Works

Virtual reality (VR) experiences are well-documented for increasing student motivation, but studies often stop short of providing important details about the link between the kinds of experiences and types of motivation. For example, do realistic VR simulations work better than VR imaginary worlds at increasing subject matter interest? Pedagogically, it is of interest to determine if there are divergent effects on students when interacting with different types of VR experiences. This study uses quantitative analysis of pre-post survey data to bring clarity to the motivational aspects of different types of chemistry-based VR experiences. Eighty 8^th-12^th grade students …

I Didn’T Write This For You! Using Translanguaging In Pages And In The Classroom, Elena Foulis

Spanish Faculty Publications (Archived)

A folklorist addresses the legacy of Spanish language loss and the devaluing of people’s language practices by asserting the value of bicultural and biliterate ways of knowing and being by presenting and analyzing the poetry of Eddie Vega.

Factors Affecting Users’ Satisfaction With Telehealth Apps: Analysis Of Users Reviews Using Bert, Abdullah Wahbeh, Tyler Howes, Omar El-Gayar, Raed Seetan, Mohammad A. Al-Ramahi, Ahmed Al-Omari

All Faculty Scholarship (Archived)

Telehealth mobile apps and telehealth services are increasingly used by patients, particularly, post-COVID-19. This study examines factors related to users’ satisfaction with these apps and services by analyzing reviews from actual telehealth app users. A total of 53,209 reviews were collected from nine telehealth apps on the Google Play store. Using BERT embeddings, UMAP, and HDBSCAN, topics were generated and labeled to identify these factors. Results showed that telehealth app users expressed several factors related to satisfaction with telehealth apps, which could impact the acceptability and adoption of such apps. These include usability (ease of use), usefulness, convenience and efficiency, …

Care In The Academic Research Enterprise: Reflections And A Call To Action From The Inaugural Convening Of Care, Convening Of Care Collective, Rani Muthukrishnan, Et Al.

All Faculty Scholarship (Archived)

No abstract provided.