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 …

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 …

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 …

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 …

Reclaiming Myth: Feminist Reinterpretations And The Creation Of A More Inclusive Narrative, Isabella Iurillo

All Student Theses and Dissertations

This thesis examines the role of mythological reinterpretation and its expansion of the literary canon to inclusively reflect human experiences. According to scholars of myth such as Kalloli, Tyagi, and Armstrong, myths are meant to reflect enduring human experiences, making them relatable classics even after thousands of years. However, as the majority of mythological women are largely silenced, misrepresented, or villainized in ancient myth, this reflection is both incomplete and distorted. This thesis examines three contemporary feminist reinterpretations-- Stone Blind by Natalie Haynes, Silence of the Girls by Pat Barker, and Circe by Madeline Miller—each of which gives a voice …

Differential Associations Among Psychological Flexibility Components, Depressive Symptoms, And Sense Of Belonging In First Semester College Students, Ti Hsu, Cristina Nardini, Gabriel M. Velez, Elizabeth Raposa

College of Education Faculty Research and Publications

Objective. The transition to college is associated with rising rates of depressive symptoms and decreased well-being. It is critical to identify protective psychological factors for this period. One possible protective factor is psychological flexibility, or the ability to pursue self-identified values despite distressing thoughts and emotions. This study examined associations among psychological flexibility components and well-being outcomes in first semester college students.

Participants: The sample consisted of 238 diverse first-semester college students recruited from five universities.

Method: Using structural equation modeling, we examined associations among three components of psychological flexibility and two dimensions of well-being (i.e., depressive symptoms and sense …

ปัจจัยคัดสรรที่สัมพันธ์กับพฤติกรรมการใช้สารเสพติดของผู้ใช้สารเสพติด หลายชนิดร่วมกันในภาคใต้ของประเทศไทย, เตชินี สิทธิอำนวย

Chulalongkorn University Theses and Dissertations (Chula ETD)

การวิจัยครั้งนี้เป็นการวิจัยเชิงบรรยาย มีวัตถุประสงค์เพื่อศึกษา 1) สถานการณ์และรูปแบบการใช้สารเสพติดร่วมของผู้ใช้สารเสพติดที่รับการบำบัดสารเสพติดในโรงพยาบาลรัฐบาลในเขต ภาคใต้ และ 2) เพื่อศึกษาความสัมพันธ์ระหว่างปัจจัยคัดสรร ได้แก่ อายุ เพศ อาชีพ ระดับการศึกษา สถานภาพสมรส อายุที่เริ่มใช้สารเสพติด ระยะเวลาการใช้สารเสพติด การดื่มแอลกอฮอล์ การสูบบุหรี่ ภาวะซึมเศร้า ความวิตกกังวลขณะปัจจุบัน การวิตกกังวลประจำบุคคล การเผชิญความเครียดด้านการมุ่งแก้สาเหตุปัญหา การเผชิญความเครียดด้านการจัดการกับอารมณ์ และสัมพันธภาพในครอบครัว กับพฤติกรรมการใช้สารเสพติดของผู้ใช้สารเสพติดหลายชนิดร่วมกันในภาคใต้ กลุ่มตัวอย่างเพื่อตอบวัตถุประสงค์วิจัยข้อ 1 คือ ผู้ใช้สารเสพติด จำนวน 111 คน และกลุ่มตัวอย่างเพื่อตอบวัตถุประสงค์วิจัยข้อ 2 คือ ผู้ใช้สารเสพติดหลายชนิดร่วมกัน จำนวน 211 คน ทั้งเพศชายและหญิง ที่มีอายุ 20 – 59 ปี ที่ได้รับการคัดเลือกตามเกณฑ์คุณสมบัติที่กำหนดไว้ ซึ่งเข้ารับการบำบัดรักษายาเสพติดแบบผู้ป่วยนอก โรงพยาบาลรัฐบาลในเขตภาคใต้ ได้แก่ โรงพยาบาลธัญญารักษ์สงขลา โรงพยาบาลมหาราช นครศรีธรรมราช โรงพยาบาลสิชล และโรงพยาบาลพระพรหม จังหวัดนครศรีธรรมราช เครื่องมือที่ใช้ในการวิจัยมี 5 ชุด คือ 1) แบบสอบถามข้อมูลส่วนบุคคล 2) แบบสอบถามพฤติกรรมการใช้สารเสพติด 3) แบบประเมินภาวะซึมเศร้า 9Q 4) แบบวัดความวิตกกังวล STAI 5) แบบวัดการเผชิญความเครียต และ 6) แบบสอบถามสัมพันธภาพในครอบครัว สถิติที่ใช้ในการวิเคราะห์ ข้อมูลได้แก่ การแจกแจงความถี่ ร้อยละ ส่วนเบี่ยงเบนมาตรฐาน สถิติไคสแคว์ และค่าสัมประสิทธิ์สหสัมพันธ์เพียร์สันผลการวิจัยพบว่า 1. จากผลการศึกษาสถานการณ์และรูปแบบการใช้สารเสพติดในภาคใต้ พบว่า ผู้ใช้สารเสพติดเพียงชนิดเดียวมีเพียง 23 คน (ร้อยละ 20.7) และผู้ใช้สารเสพติดส่วนใหญ่มีพฤติกรรมการใช้สารเสพติดหลายชนิดร่วมกัน 88 คน (ร้อยละ 79.3) จำแนกเป็นใช้สารเสพติดสองชนิดร่วมกัน 76 คน (ร้อยละ 68.5) และใช้สารเสพติดสามชนิดร่วมกัน …

ปัญหาการบังคับใช้พระราชบัญญัติความร่วมมือระหว่างประเทศในทางแพ่งเกี่ยวกับการละเมิดสิทธิควบคุมดูแลเด็ก พ.ศ. 2555 : ศึกษากรณีการลักเด็กข้ามชาติ, นรมน อรุณฤทธิเดชา

Chulalongkorn University Theses and Dissertations (Chula ETD)

วิทยานิพนธ์ฉบับนี้มีวัตถุประสงค์ที่จะศึกษาปัญหาการบังคับใช้พระราชบัญญัติความร่วมมือระหว่างประเทศในทางแพ่งเกี่ยวกับการละเมิดสิทธิควบคุมดูแลเด็ก พ.ศ. 2555 ศึกษากรณีการลักเด็กข้ามชาติ โดยศึกษามาตรการทางกฎหมายกรณีของการลักพาเด็กข้ามชาติในทางแพ่งของต่างประเทศที่เป็นรัฐภาคีของอนุสัญญากรุงเฮกว่าด้วยลักษณะทางแพ่งในการลักพาตัวเด็กข้ามชาติ ค.ศ. 1980 เพื่อเสนอแนะแนวทางแก้ไขปัญหาการบังคับใช้พระราชบัญญัติความร่วมมือระหว่างประเทศในทางแพ่งเกี่ยวกับการละเมิดสิทธิควบคุมดูแลเด็ก พ.ศ. 2555 ต่อไปผลการศึกษาพบว่า การดำเนินการของผู้ประสานงานกลางของประเทศไทย รวมถึงสำนักงานตำรวจแห่งชาติ และศาลเยาวชนและครอบครัวกลาง ซึ่งเป็นหน่วยงานที่เกี่ยวข้องกับการบังคับใช้พระราชบัญญัติความร่วมมือระหว่างประเทศในทางแพ่งเกี่ยวกับการละเมิดสิทธิควบคุมดูแลเด็ก พ.ศ. 2555 ยังไม่สอดคล้องกับหลักการของอนุสัญญากรุงเฮกว่าด้วยลักษณะทางแพ่งในการลักพาตัวเด็กข้ามชาติ ค.ศ. 1980 และการตีความและปรับใช้ประมวลกฎหมายแพ่งและพาณิชย์ มาตรา 1582 ยังมีความไม่ชัดเจน ผู้เขียนจึงขอเสนอให้หน่วยงานที่เกี่ยวข้องดังกล่าวข้างต้นออกมาตรการทางกฎหมาย ตลอดจนกำหนดแนวทางการดำเนินการที่ชัดเจน และการแก้ไขเพิ่มเติมประมวลกฎหมายแพ่งและพาณิชย์ มาตรา 1582 เพื่อให้การบังคับใช้พระราชบัญญัติความร่วมมือระหว่างประเทศในทางแพ่งเกี่ยวกับการละเมิดสิทธิควบคุมดูแลเด็ก พ.ศ. 2555 สัมฤทธิ์ผลพร้อมกับเกิดประโยชน์ในการแก้ไขปัญหาการลักพาเด็กข้ามชาติต่อไป

Ip, At, And Aaas: What Intellectual Property Can Teach Antitrust About The War On Amazon Basics, Kristen Osenga

Law Faculty Publications

Amazon is magical. Search the online marketplace for pretty much anything you can imagine—not to mention all the things you never imagined; you will likely find what you were searching for and be able to have it delivered in two days or less. The magic is not just in Amazon’s vast array of innovative consumer products but also in its providing access to goods that are unavailable locally. An extreme example of Amazon’s ability to supply goods that were not locally available may be found in the pandemic lockdowns of 2020, when neighborhood stores were out of toilet paper and …

Popular Originalism, Thomas G. Donnelly

Law Faculty Publications

Scholars are obsessed with the Roberts Court’s recent turn to history and tradition. But another source of authority has also emerged as an important feature of the Roberts Court’s approach to constitutional cases. In previous work, I have referred to this source of authority as popular meaning. While original meaning identifies the best reading of the Constitution’s text at the time of its ratification, popular meaning draws on sources of authority outside the courts to capture the constitutional views of the American people today. In this Article, I demonstrate how interpreters might draw on the Constitution’s popular meaning to help …

A Crust Of Bread: Religious Resistance And The Fourteenth Amendment, Kurt T. Lash, Stephanie Hall Barclay

Law Faculty Publications

In Employment Division v. Smith, the U.S. Supreme Court denied heightened constitutional protection to religiously motivated exercise burdened by neutral and generally applicable laws. The history presented in this Article suggests that the Smith approach conflicts with the original understanding of the Fourteenth Amendment. Out of the crucible of religious abolitionist resistance to the Fugitive Slave Act emerged a substantive theory of constitutional religious freedom: American citizens should have the right to obey the Biblical command to care for the needy and provide the hungry a "crust of bread," even if doing so was contrary to neutral and generally …

The Beleaguered Sovereign: Judicial Restraints On Public Enforcement, Luke P. Norris, Helen Hershkoff

Law Faculty Publications

Looking back at the federal courts over the last generation, commentators will likely focus on their role in undermining the functioning of the regulatory state. Well-acknowledged in this story are Supreme Court decisions that have constrained administrative agencies under the newly minted “major questions” doctrine, as well as the Court’s blockbuster decision overruling the longstanding Chevron doctrine. The Court also has made it increasingly difficult for individuals—often workers and consumers, people of color, women, and those who live from paycheck to paycheck—to seek federal judicial redress for regulatory violations as private enforcers. And the Court has questioned whether certain private …

Sulfate Sources In Groundwater From An Agricultural Area Central Illinois, Christabel I. Obi

Theses and Dissertations

Increasing sulfate (SO₄^2-) concentrations in the water environment, corresponding with increases in urbanization and industrialization, are a rising global concern. Over 250 mg/L, sulfate threatens human health and ecosystems. Elevated concentrations influence carbonate rock weathering, contributing to the evolution of the global carbon cycle. Knowledge of sulfate sources, whether natural or anthropogenic, is essential for understanding sulfate transport and fate in groundwater. This study investigates SO₄^2- origin and transport in groundwater in an area dominated by agricultural land use in Mclean County, Illinois. Specifically, we explored these questions: 1) Do sulfate concentrations change with groundwater …

Secrets Of The Killing State: The Medical Professional Mandate, Corinna Barrett Lain

Law Faculty Publications

When New Jersey reinstated the death penalty in 1983, the state hadn’t conducted an execution in twenty years, so no one knew how to conduct an execution by lethal injection. Doctors at the state prison refused to participate, citing medical ethics that required them to “support life, not end it,” and that left prison officials thinking that they might have to conduct the executions themselves. “That is not an easy task for an amateur,” a reporter covering the quandary wrote. Unsure of what else do to, officials called upon Fred Leuchter, an engineer who had worked with a number of …

Ai In Education: Teaching, Learning, And Thinking With Machines, Mary Strawderman, Jesse Senechal, Eric Ekholm, Jason Vest, Moe Greene, Dawn Johnson, Daniel Case, Oscar Keyes, Yaoying Xu, Robert Godwin-Jones, Kait Donahue, Kim Elmore, Haley Hendershot, Amy Corning, Paulina Guerrero, Samaher Aljudaibi, Justin Thurston

AI in Education: Teaching, Learning, and Thinking with Machines

This collection from the Humanities Research Center (HRC) Digital Technology in Education (DTE) working group arose from questions around how rapidly emerging generative AI tools are reshaping teaching and learning in K-12 and higher education. The contributions, loosely organized around ethics, policy, and practice, adopt a humanities lens to probe how generative AI and other emerging digital technologies impact human values, experiences, and social structures, surfacing their philosophical, ethical, cultural, and societal implications for schooling. From the perspectives of practitioners and interdisciplinary scholars, the pieces showcase various dimensions of AI's creative potential in education, while also questioning its limitations and …