Digital Commons Network^™

Prediction Of Cardiac Arrest Using A Hybrid Voting Classifier Combining Random Forest And Support Vector Machine, Ahmed Hamid Elias, Amr Badr, Raad S. Alhumaima

Mesopotamian Journal of Artificial Intelligence in Healthcare

Early and adequate identification of patients at risk of cardiac arrest remains a fundamental challenge in medical environments. Within this piece of work, we design and evaluate a hybrid machine-learning pipeline integrating Random Forest (RF) and Support Vector Machine (SVM) classifiers by soft voting to detect cardiac arrest occurrences from a publicly available dataset of 303 patient records with 13 clinical features. After median imputation and data cleaning, continuous features were normalized and the cohort was divided into 70 % training and 30 % test sets. RF scored 97 % with an AUC of 1.00 on its own, and SVM …

Advanced Machine Learning Models For Accurate Kidney Cancer Classification Using Ct Images, Dhuha Abdalredha Kadhim, Mazin Abed Mohammed

Mesopotamian Journal of Big Data

Kidney cancer, particularly renal cell carcinoma (RCC), poses significant challenges in early and accurate diagnosis due to the complexity of tumor characteristics in computerized tomography (CT) images. Traditional diagnostic approaches often struggle with variability in data and lack the precision required for effective clinical decision-making. This study aims to develop and evaluate machine learning (ML) models for the accurate classification of kidney cancer using CT images, focusing on improving diagnostic precision and addressing potential challenges of overfitting and dataset heterogeneity. Two ML models, Support Vector Machines (SVM) and Multi-Layer Perceptrons (MLP), were employed for classification. Key attribute extraction techniques, including …

Bridging Law And Machine Learning: A Cybersecure Model For Classifying Digital Real Estate Contracts In The Metaverse, Faris Kamil Mihna, Hazim Akram Sallal, Lobna Abdalhusen Al-Seedi, Hasan Ali Al- Tameemi, Mustafa Abdulfattah Habeeb, Yahya Layth Khaleel, Dheyaa A. Mohammed

Mesopotamian Journal of Big Data

The metaverse indicates an ever-evolving digital ecosystem where virtual real estate has now become an asset class. These properties, subject to smart contracts on the blockchain and represent as non-fungible tokens (NFTs), gives rise to new legal and cyber issues due to the decentralized and dematerialized nature of these digital assets .This paper proposes a machine learning approach to classify the digital real estate contracts into Ownership and Lease contracts. The study utilizes a dataset of one thousand digital real estate contracts collected from platforms such as Decentraland and The Sandbox. The dataset also included attributes such as plot size, …

Overview Of The Ciciot2023 Dataset For Internet Of Things Intrusion Detection Systems, Wisam Ali Hussein Salman, Chan Huah Yong

Mesopotamian Journal of Big Data

The rapid expansion of the use of the Internet of Things (IoT) has encouraged many attackers to exploit the vulnerabilities in these networks to violate data privacy or disrupt service; they are easy targets due to the diversity of devices within the network, which has led to the loss of unified security standards. intrusion detection system (IDS) play a pivotal role in securing IoT networks by monitoring inbound and outbound traffic to these networks and issuing a security alarm when there is an attack; moreover, they respond directly to these security threats to prevent them from harming the network and …

Enhancing Throughput In A Network Function Virtualization Environment Via The Manta Ray Foraging Optimization Algorithm, Sanaa S. Alwan, Asia Ali Salman

Mesopotamian Journal of Big Data

Network function virtualization (NFV) has emerged as a transformative paradigm in which traditional hardware appliances are replaced with virtual network functions (VNFs) running on commodity hardware. While NFV offers scalability and flexibility, it faces major challenges in sustaining high throughput and minimizing resource overhead under dynamic traffic conditions. In particular, flooding algorithm-based request propagation often leads to excessive redundancy, congestion, and resource waste. To address this limitation, this study applies Manta ray foraging optimization (MRFO), a swarm intelligence algorithm inspired by natural foraging behaviors, to optimize packet routing and resource allocation in NFV environments. The research employs a Barabási–Albert (BA) …

Recognition Of Alzheimer’S Disease Stages Via Inceptionv3 And Resnet50, Iman Aljubouri, Mostafa Ragheb, Mohamad Hamady

Mesopotamian Journal of Big Data

Early and precise detection of Alzheimer’s disease (AD) is essential for successful treatment. This research presents a system that autonomously detects and categorizes the phases of Alzheimer’s disease via brain scans and sophisticated deep learning techniques, including InceptionV3 and ResNet50. These models started with pretrained weights and were augmented by including bespoke classification layers, which consisted of dropout, batch normalization, and dense layers to increase performance and mitigate overfitting. The preprocessing processes included scaling the picture to 224 by 224 pixels, using average filtering for denoising, and converting the color space to guarantee compatibility with the models. Evaluations of the …

Concise Comparison Of Cnn Models On A Specified Dataset, Humam K. Yaseen, Saif S. Kareem, Bashar I. Hameed, Salam K. Abdullah

Mesopotamian Journal of Big Data

Recently, interest in Deep Learning (DL), which is a subset of Machine Learning (ML), has emerged. The most famous and used from the DL is the Convolutional Neural Network (CNN). CNN is particularly effective in image processing. There are many duties in image processing that CNN can do, i.e., segmentation, classification, object detection, facial recognition, etc. Image classification is one of the most important applications due to its relevance to various fields, including the healthcare industry and others. One of the challenges researchers face is selecting the appropriate algorithm for the classification task, particularly when dealing with binary or multi-class …

Optimized Wavelet Scatter Method For Accurate Classification And Segmentation Of Lung Nodules, Enas Hamood Al-Saadi, Ahmed Nidhal Khdiar, Nidhal K. El Abbadi

Mesopotamian Journal of Big Data

Lung cancer is a significant global health concern due to its high mortality rate. This is primarily due to the difficulty of identifying malignant growths in early-stage computed tomography (CT) images. The thing is, it's often hard to tell the difference between a benign nodule and a malignant one. This makes it tricky to figure out what's going on with the patient. That's where these computer-aided diagnosis (CAD) approaches come in. This study introduces a lightweight and interpretable framework for comprehensively analyzing lung nodules, including their detection, classification, and segmentation. This approach uses the wavelet scattering transform (WST) to extract …

Hybrid Cooperative Spectrum Structured (Hcss) Approach For Adaptive Routing In Cognitive Radio Ad Hoc Networks, Sadeem Dheyaa Shamsi, Ameer Sameer Hamood Mohammed Ali, Wameed Deyah Shamsi

Mesopotamian Journal of CyberSecurity

Cognitive radio networks provide an important function in the efficient use of the radio spectrum. Therefore, dedicated cognitive radio ad hoc networks (CRAHNs) are expected to improve communication performance in a multihop network that requires a dedicated routing protocol that considers the dynamic mobility of secondary user nodes on the basis of the random availability of primary node channels. To enhance routing in the CRAHNs environment, in this paper, a novel Hybrid Cooperative Spectrum Structured (HCSS) approach that combines cooperative spectrum sensing and spectrum-aware routing protocols can be effective in appropriate decision making for routing packets in such a network. …

Exploring The Impact Of Blockchain Revolution On The Healthcare Ecosystem: A Critical Review, Maad M. Mijwil, Mohammad Aljanabi, Mostafa Abotaleb, Ban Salman Shukur, Ban Salman Shukur, Indu Bala, Kamal Kant Hiran, Ruchi Doshi, Klodian Dhoska

Mesopotamian Journal of CyberSecurity

Blockchain technology is a type of distributed ledger that provides secure and efficient storage, management, and transmission of data over a decentralized network. With its ability to ensure transparency and immutability, blockchain is increasingly adopted across various sectors ranging from finance, healthcare, and logistics to education. In healthcare, blockchain technology is attracting attention because of its potential to fundamentally transform health ecosystems. The healthcare sector has significantly benefited from blockchain technology by enhancing data security and interoperability and reducing medical errors. In this context, a set of studies highlighted the importance of blockchain in the field of healthcare, enhancing trust …

Encrypting Text Messages Via Iris Recognition And Gaze Tracking Technology, Sura Abed Sarab Hussien, Basim Najim Al-Din Abed, Kamaran Adil Ibrahim

Mesopotamian Journal of CyberSecurity

This study explores the integration of eye-tracking technology, specifically the gaze point (GP3) eye tracker, to develop a novel encryption and decryption model that leverages an individual's unique eye patterns as a cryptographic key. This research addresses the critical problem of balancing user-friendly encryption mechanisms with robust security. This study aims to design a gaze-based encryption system that uses the eye's binary matrix as a dynamic encryption key. The methodology involves capturing an eye image, converting it into a binary matrix, and using the extracted matrix to generate a unique iris key (IK) applied to encrypt and decrypt text messages …

Antdroidnet Cybersecurity Model: A Hybrid Integration Of Ant Colony Optimization And Deep Neural Networks For Android Malware Detection, Riyadh Rahef Nuiaa Al Ogaili, Osamah Adil Raheem, Mohamed H Ghaleb Abdkhaleq, Zaid Abdi Alkareem Alyasseri, Zaid Abdi Alkareem Alyasseri, Ali Hakem Alsaeedi, Yousif Raad Muhsen, Selvakumar Manickam

Mesopotamian Journal of CyberSecurity

Malware detection is a vital problem, and efficient methods that can efficiently detect malware are needed. The increasing use of mobile computers makes malware detection a vital part of security in an era where smartphones have come to play a key role in many of our daily lives. Earlier approaches, however, suffer from high false positive rates; they are not scalable for larger databases, or they are not amenable to adapt well to novel zero-day malware. For these reasons, the demand for more sensitive and flexible detection models is high. In this study, we develop a hybrid mobile malware detection …

Enhancing Crime Detection In Video Surveillance Via A Lightweight Blockchain And Homomorphic Encryption-Based Computer Vision System, Tanya Abdulsattar Jaber

Mesopotamian Journal of CyberSecurity

Blockchain technology consists of distributed ledgers or database systems, regarded as immutable, secure, and innovative, characterized by unsupervised internal maintenance with a special security protocol used to prevent inference from malicious or third parties. The widespread use of this technology has led to deep research into the problems posed by this technology, which can be summarized in terms of computational cost and latency time. The crime detection process in video surveillance has made great progress with the use of technologies such as the Internet of Things and blockchain technologies. However, to reach high levels of security in the physical crime …

Smartphone Authentication Based On 3d Touch Sensor And Finger Locations On Touchscreens Via Decision-Making Techniques, Moceheb Lazam Shuwandy, Rawan Adel Fawzi Alsharida, Maytham M. Hammood

Mesopotamian Journal of CyberSecurity

Smartphone authentication systems must balance security and user convenience, which is a persistent challenge in the digital realm. Traditional biometrics, such as fingerprints and facial recognition, face vulnerabilities to spoofing and environmental conditions, limiting reliability. This study introduces a novel approach by integrating three-dimensional (3D) touch sensors with finger location data for authentication. The goal is to develop a system that improves accuracy while minimizing false positives and negatives, leveraging touch pressure and spatial interaction as unique biometric identifiers. Data from 20 participants, including pressure levels, spatial coordinates, and timestamps, were analysed using Random Forest (RF) and Extreme Gradient Boosting …

Early Entering Research And Writing (Eerw) In College-Level Statistics, Rebecca Fang

2025 Faculty Bibliography

With the high demand for data-driven knowledge, students today need to comprehend skills in problem-solving, critical thinking, communication, and collaboration. However, in traditional statistics lectures, students learn descriptive algorithms, hypothesis, and linear regression at their early stage of college. Unfortunately, they often analyze numbers without considering the context, purpose, audience, and the meaning of the numbers. Therefore, providing students the early opportunity to research and write with data in college will allow them to deepen their understanding of the subjects, to think critically about the data and the results, to communicate effectively with diverse audience, and to prepare for their …

A Ticket To The Show: Reclaiming The Margins Of Film History Through The Orphan Film Movement, Charlotte Roi

Antioch University Dissertations & Theses

This dissertation explores the history, development, and legacy of the Orphan Film Movement (OFM), a vital initiative dedicated to identifying, preserving, and promoting cinematic works that have been neglected, forgotten, or left without clear copyright holders. Through the lens of Critical Archival Theory, the research traces the emergence of the OFM from its foundational roots in the broader film preservation movement and examines its evolution through academic, institutional, and community-based advocacy. Drawing on historical research, symposium analysis, and theoretical engagement, this study demonstrates how the OFM reshapes historical narratives, democratizes preservation practices, and redefines what constitutes cultural memory in film …

Exploring Perceptions Of Occupational And Physical Therapy Faculty Of Entry-Level Graduate Programs Post Covid-19: A Mixed Methods Study, Chelsea S. Reji, Anne M. Moscony, Dianna Lunsford

Journal of Occupational Therapy Education

This study aimed to explore graduate-level occupational therapy (OT) and physical therapy (PT) faculty’s perspectives on their academic responsibilities, well-being, and the needs of students following the COVID-19 pandemic. The researchers hypothesized that a decrease in job satisfaction and overall well-being would be evident, indicating burnout syndrome in the faculty participants. A mixed-methods approach was utilized. Potential participants were recruited from websites of graduate-level OT and PT programs via email. Participants were included if they were currently teaching in a graduate-level OT or PT program, teaching during the COVID-19 pandemic, and working full-time. Data were collected through Google Forms from …

Becoming The Donkey Derby’S ‘Karen’: A Humane Educator’S Autoethnographic Journey Toward Anti-Speciesist Communication, Jesika Keener

Antioch University Dissertations & Theses

Language not only carries oppression as an educative force, but research indicates that language is inherently speciesist and highly pervasive (Ethical Globe, 2021; Guevara Labaca, 2017; Hamlett, 2024; Leach et al., 2023). However, the ontological commitment to speciesism is historically foundational, which makes the total eradication of speciesist communication only viable through an unemerged hypothetical future society (Kahn, 2011). For the possibilities of such a world to come into being, pivotal steps must first be taken to critically engage with the communicated forms of speciesism in order to better understand it and actively resist its reproduction—with the aspiration for this …

Proposed Principles Beyond Human And Non-Human Binaries: Engaging A Kincentric View In Environmental Education, Christine Marie Widrig

Antioch University Dissertations & Theses

This is a crucial time for a call to an awakened consciousness toward respectable, equitable, and expansive relationships and agency with the natural world. Indigenous philosophy and practices offer alternative visions for cultivating representations of language, narrative, and tradition that expand boundaries of modern Western thought and discourse. Key to many Indigenous traditions is fostering relationships of kin(ki), meaning kinship, within diverse ecological landscapes and place, while engaging respectfully with the non-human world. These alternative ways of consciousness and agency can be vital means of supporting healthy biodiversity and conservation, amid spiritual practices. In this dissertation, I propose and outline …

Memento Mori: A Photo-Elicit Narrative Analysis On Grief, Jared Becknell

Antioch University Dissertations & Theses

Training and education about grief counseling has been stagnant, stalling the creativity and novel practice when working with bereaved individuals. Counselors in Training often receive minimal education and training in grief, even though clients will ultimately experience this phenomenon. Qualitative research findings provide insights into how individuals actively engage in the grieving process, while promoting their own versions of healing and acceptance through the artifacts kept from deceased loved ones. These findings explore the lived experience of individuals who keep artifacts from a deceased loved one. Results show an active participation in reconnecting to the deceased versus addressing grief symptoms …

Exploring The Lived Experience Of Grief In Adults With Attention Deficit Hyperactivity Disorder, Martina Bauer

Antioch University Dissertations & Theses

The purpose of this phenomenological descriptive-interpretive study was to understand the lived experience of maintaining attention to one’s responsibilities while grieving among adults diagnosed with ADHD who have recently experienced bereavement in the United States. The population for this study included adults aged 18 and over who had experienced the loss of a loved one in the past 5 years and had a current diagnosis of ADHD. Participants were recruited using a sample of convenience via social media, email, and flyers, employing a snowball sampling technique. There were eight participants who met the inclusion criteria and participated in a semi-structured …

An Examination Of Harm During The Real-Life Experience, Michelle E. Balch

Antioch University Dissertations & Theses

The Real-Life Experience (RLE) has been described as a coercive and arbitrary requirement without evidence of validity or reliability. This can cause more harm than it prevents for a significant subset of transition-seeking transgender clients. For these reasons the RLE was dropped from the WPATH Standards of Care after version six. However, the RLE has been adopted by a number of health insurance companies as a measure of readiness to receive transition services. An Interpretative Phenomenological Analysis (IPA) and semi-structured interviews of five individuals were conducted to evaluate their perceptions of RLE and the meaning they attach to their broader …

The Experience Of Psychologists In Providing Unexpected Feedback During Neurodevelopmental Evaluations, Alyssa J. Mayer

Antioch University Dissertations & Theses

The purpose of this study was to describe the experience of licensed psychologists who provided unexpected feedback to assessment clients about not meeting the criteria for neurodevelopmental disorders. Individuals are increasingly seeking formal evaluation for neurodevelopmental disorders based on anecdotal information they come across on the internet. Many people develop strong identity attachments to these diagnostic labels, and it can be incredibly dysregulating to learn that they do not meet the criteria for a diagnosis. Six psychologists participated in semi-structured virtual interviews to share their experiences providing clients with this type of unexpected feedback. Through an interpretive phenomenological analysis framework, …

Experiences Of Civilian Mental Health Providers Who Work With Military Clients: A Dissertation, Lydia P. Perry

Antioch University Dissertations & Theses

Using a qualitative survey design, this study sought to understand the experiences of fully civilian providers who had achieved self-perceived military cultural competence when working with military or veteran clients or their families. This study also sought a better understanding of what pathways fully civilian providers took in this process, as well as their perceptions of how to better equip other fully civilian providers for work with military and veteran clients and their families. The results of this study yield recommendations for changes in graduate training programs; for example, through more inclusion of the military as a culture in cross …

A Participatory Action Research Exploring Results Of Explicit Instruction Of Open Task Problem-Solving Through A Mathematical Mindset, Bridget Ferrin

Antioch University Dissertations & Theses

With local assessments showing mathematical achievement below 50% and an increasing need for problem-solving mathematicians, this dissertation investigates instructional methods in math, emphasizing problem-solving skills and fostering mathematical mindsets. The goal was to measure math achievement from the beginning to the end of the year after a Plan, Do, Study, Act cycle at a rural Vermont school serving approximately 600 students from Pre-K through eighth grade. The population in this school is diverse in SES but lacks significant racial and ethnic diversity. Boaler’s (2022) Mathematical Mindset Framework is the underpinning of this Participatory Action Research (PAR), providing the foundation for …

Frozen: A Grounded Theory Of Transgenerational Trauma Cycles In The Evangelical Slavic Diaspora Of Former Soviet Union Refugees, Yulia Shtareva

Antioch University Dissertations & Theses

This dissertation builds on historical and scientific assertions that Former Soviet Union immigrants survived distinct political traumas, resulting in unique, culturally adaptive behaviors and beliefs. Using constructivist grounded theory, it examined how these behaviors manifest in the evangelical Slavic community (ESC) of former Soviet Union Refugees (FSURs) in the U.S. The researcher asserts that (a) adaptations are generationally preserved in the ESC through a “cycle of authoritarianism,” and (b) survival strategies became maladaptive in new social environments. Narratives from eight young adults raised in the ESC were analyzed alongside a literature review and lived experience. Findings show that coping strategies …

Exploring The Imposter Phenomenon Among Spanish Esl Doctoral-Level Psychology Students, Celia E. Arauz

Antioch University Dissertations & Theses

In this study, I examined the impostor phenomenon experienced by bilingual Latina/o doctoral-level psychology students with English as a second language (ESL) who attend predominantly White institutions. To address the lack of literature, I explored how individuals perceive and cope with experiences generated by cultural, linguistic, and racialized academic environments, using the Clance Impostor Phenomenon Scale (CIPS) and interpretative phenomenological analysis. Seven participants completed demographic questionnaires, CIPS screening, and semistructured interviews. I analyzed participants' narratives in an Adlerian framework, emphasizing inferiority, belonging, and purposeful thriving. Findings demonstrated impostor feelings were prevalent. Students experienced multiple challenges when attending mainstream programs. Despite …

Investigating The Impact Of Student Motivation And Self-Efficacy On Academic Performance In Advanced Placement Courses, Alicia Carroll

Theses and Dissertations

This mixed methods applied dissertation was designed to provide insight into the effects of student motivation and student self-efficacy on academic performance in Advanced Placement (AP) courses. Secondary educational institutions in the United States offer their students Advanced Placement courses, dual enrollment or dual credit courses, International Baccalaureate (IB) courses, and early college programs to encourage and promote the quest for outstanding student attainment. Although many students in the study school enroll in the Academy for Advanced Placement Studies, not all ninth through 12th graders achieve Advanced Placement credit in the Academy’s required courses.

Education has traditionally been viewed as …

Protection Of Male And Female Sexed Children From Genital Cutting: Making Sense Of Recent Legal Developments, J. Steven Svoboda

Cardozo Journal of Equal Rights & Social Justice

The article critically examines the disparate legal treatment of female genital cutting (FGC) and male genital cutting (MGC), arguing for a more consistent approach that recognizes both practices as violations of bodily integrity. It highlights the ethical and legal inconsistencies in how these practices are viewed and regulated, advocating for a unified legal framework that prioritizes consent and the rights of the individual.

The Risk–Reward Trade-Off Of Hedging In Trade And Security: Trump’S First Administration And Its Impacts On Thailand, Qiyu Zhang

Chulalongkorn University Theses and Dissertations (Chula ETD)

Against the backdrop of an increasingly polarized global landscape and intensifying Sino-American competition, this paper conducts an in-depth analysis of the risk-reward trade-offs inherent in Thailand’s ‘hedging strategy’ during Donald Trump’s first term (2017-2021). Hedging policy occupies a middle ground between “alignment” and ‘balancing’, aiming to diversify risks and maintain flexibility. It constitutes a strategic approach enabling nations to derive benefits from great power competition while preserving avenues for retreat. Through in-depth research, this paper finds that Thailand, as a small power, gained short-term economic benefits through its hedging strategy, such as manufacturing relocation and export growth. However, these gains …