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Using Luminescence Dating To Investigate Geomorphic And Archaeologic Features At The Wiggins Fork Bison Jump Complex, Northwestern Wyoming, Emma T. Krolczyk

All Graduate Theses and Dissertations, Fall 2023 to Present

The Wiggins Fork Bison Jump Complex, located in northwestern Wyoming, is comprised of thousands of human-placed rock piles, known as cairns, that were placed within lines to form an extensive network of drivelines and funnels leading to cliffs or steep slopes. These archaeological features were used by Native Americans as a bison hunting method, where the animals were driven off cliffs for harvest. This research uses luminescence dating, which determines when sediment was last exposed to sunlight, to date the timing of driveline construction and the deposition ages of the underlying river deposits.

Research focused on Jump #4, which had …

2021 Carroll County Advisory Council Minutes And Agendas, Mikayla Cerney

UNH Cooperative Extension

No abstract provided.

Computational Modeling In A Calculus-Based Physics Lab: Students’ Problems And Successes In Physics 2060, Abigail Sophia Flowers

Masters Theses

In the past few decades, computational modeling skills have become essential for students who want to pursue careers in physics or engineering. This issue of how to incorporate these skills into students' learning has become an important one because students in these degrees are already required to take several cognates outside of their chosen major. In 2018, Western Michigan University’s physics department decided to take on this issue by reformatting their introductory calculus-based physics labs to include computational modeling within the labs. The labs were first run in the Fall of 2018 and then were improved in spring 2019. When …

Assessment Of Pedestrian Safety At Roundabout Slip Lanes: A Study On Design Configurations And Surrogate Safety Measures, Norran Kakama Novat

Masters Theses

The implementation of slip lanes at roundabouts has been widely adopted to improve traffic flow and reduce vehicle conflicts. However, the presence of slip lanes introduces significant risks for pedestrians, influencing vehicle speeds, merging behaviors, and increasing the potential for pedestrian-vehicle conflicts. This study investigates pedestrian safety at roundabouts with various slip lane designs, focusing on their impact on vehicle speeds, pedestrian-vehicle conflicts, and yielding behavior. Also, the study evaluates commonly used surrogate safety measures by employing extreme value models to assess their efficiency.

The study addresses two primary objectives: (1) analyzing the effects of different slip lane configurations on …

Jak2-V617f Mutation Among Blood Donors: A Meta-Analysis, Mada H. Alsharif, Eman M. Mansory, Amjad A. Alharazi, Maha A. Badawi

Saudi Medical Journal

Objectives: To systematically review evidence on the prevalence of the JAK2V617F (JAK2) mutation and polycythemia vera (PV) among all blood donors, focusing on those with elevated hematocrit. Although blood donors are generally healthy, considering a preclinical stage of myeloproliferative neoplasm, especially in those with polycythemia, is crucial. Evidence on managing these donors is limited. Methods: We performed a literature search using EMBASE and MEDLINE from inception until August 2023, including studies on the prevalence of JAK2 mutation or PV among blood donors. Eligible studies examined blood donors in hospital or community settings, had a sample size of at least 20 …

Differentiating Mycosis Fungoides Lesions From Their Mimickers Clinically And Histologically: A Single Tertiary Center Retrospective Analysis In Saudi Arabia, Fatimah M. Budair, Ahmed A. Alsayyah, Omar M. Alakloby

Saudi Medical Journal

Objectives: To identify the clinical and histological features of MF that can assist in distinguishing MF from MF-mimicking cases. Although mycosis fungoides (MF) is the most common subtype of cutaneous T-cell lymphoma, clinicopathological correlations are required to establish an accurate diagnosis, which are currently lacking. Methods: This retrospective observational study evaluated the clinical presentations, characteristics, and histological features of 56 patients with suspected MF who presented to our clinic between January 2018 and August 2022. Immunohistochemistry was performed, and the loss of CD5 and CD7 T-cells and T-cell receptor rearrangement was evaluated. Results: Overall, 34 patients were diagnosed with MF, …

Assessing The Accuracy And Efficiency Of Chat Gpt-4 Omni (Gpt-4o) In Biomedical Statistics: Comparative Study With Traditional Tools, Anusha S. Meo, Narmeen Shaikh, Sultan A. Meo

Saudi Medical Journal

ABSTRACT Objectives: To assess the accuracy of ChatGPT-4 Omni (GPT-4o) in biomedical statistics. The recent novel inauguration of Artificial Intelligence ChatGPT-Omni (GPT-4o), has emerged with the potential to analyze sophisticated and extensive data sets, challenging the expertise of statisticians using traditional statistical tools for data analysis. Methods: This study was performed in the Department of Physiology, College of Medicine, King Saud University, Riyadh, Saudi Arabia, in May 2024. Three datasets in a raw Excel file format were imported onto Statistical Package for the Social Sciences (SPSS) version 29 for data analysis. Based on this analysis, a script of 9 questions …

Disputing Personal Data In The Eu-China Comprehensive Agreement On Investment, Mark Mclaughlin

Research Collection Yong Pung How School Of Law

This chapter analyses the emerging data realms in China and the European Union against the backdrop of the Comprehensive Agreement on Investment (CAI). It examines the link between data protection and investment flows and undertakes a comparative analysis of the PIPL and GDPR. Moreover, this chapter will also analyse the Digital Silk Road in promoting China’s model of data sovereignty. While early trade and investment agreements did not consider data relevant for the regulation of cross-border commerce, modern treaties are increasingly cognisant of rules for data protection. As such, the data-related provisions of the CAI will be placed in the …

Regulatory Approaches To Consumer Protection In The Financial Sector And Beyond: Toward A Smart Disclosure Regime?, Nydia Remolina Leon, Yvonne Ai-Chi Loh, David R. Hardoon

Research Collection Yong Pung How School Of Law

Traditionally, consumer and data protection policies evolved from issues of consent and information disclosure. The purpose of these regulatory approaches is the protection of consumers by reducing some contracting failures, such as asymmetries of information and a lower bargaining power, especially in transactions involving complex issues such as financial products and sensitive personal data. In the past, regulators have responded to privacy and consumer protection by adopting what this paper refers to as an “imperfectly informed regime”, in which consumers do not receive full information about the risks associated with their decisions, even if they are still protected through a …

Here, There, And Elsewhere: Ethnicity, Identity, And Global Orientation At An Indian International School In Singapore, Emma Alexandra Grimley, Orlando Woods, Lily Kong

Research Collection College of Integrative Studies

International schools are somewhat ‘place-less’ in that their denationalised educational systems and nationally diverse student bodies are typically removed from the physical context in which each school is located. However, this placeless internationalism is complicated by international schools that also affiliate themselves with a national system or enrol a significant number of students who aspire to remain in the ‘host’ country. This paper develops the example of the Global Indian International School in Singapore to illustrate how the feeling of place is impacted by its dual orientations as both ‘Global’ and ‘Indian.’ The school attempts to (re)create an Indian schooling …

Debtor Eligibility Prediction Using Deep Learning With Chatbot-Based Testing, Reski Noviania, Enny Itje Sela, Luther Alexander Latumakulita, Steven R. Sentinuwo

Knowledge Engineering and Data Science

Predicting debtor eligibility is essential for effective risk management and minimizing lousy credit risks. However, financial institutions face challenges such as imbalanced data, inefficient feature selection, and limited user accessibility. This study combines Recursive Feature Elimination (RFE) and Deep Learning (DL) to improve prediction accuracy. It integrates a chatbot interface for user-friendly testing. RFE effectively identifies critical features, while the DL model achieves a validation accuracy of 97.62%, surpassing previous studies with less comprehensive methodologies. The chatbot's novel design not only ensures accessibility but also enhances user engagement through flexible input options, such as approximate values, enabling non experts to …

Manifold Learning And Undersampling Approaches For Imbalanced Class Sentiment Classification, L.M. Risman Dwi Jumansyah, Agus Mohamad Soleh, Utami Dyah Syafitri

Knowledge Engineering and Data Science

Movie reviews are crucial in determining a film's success by influencing audience decisions. Automating sentiment classification is essential for efficient public opinion analysis. However, it faces challenges such as high-dimensional data and imbalanced class distributions. This study addresses these issues by applying manifold learning techniques, Principal Component Analysis (PCA) and Laplacian Eigenmaps (LE) to reduce data complexity and undersampling strategies (Random Undersampling (RUS) and EasyEnsemble) to balance data and improve predictions for both sentiment classes. On reviews of The Raid 2: Berandal, EasyEnsemble achieved the highest average G-Mean of 0.694 using Term Frequency-Inverse Document Frequency (TF IDF) features with a …

Deep Learning Approach For Dental Anomalies X-Ray Imaging Using Yolov8, Amelia Ritahani Ismail, Md Salim Sadman Taseen

Knowledge Engineering and Data Science

Dental X-ray imaging is a critical diagnostic tool for identifying various dental anomalies. However, manual interpretation is time-consuming, prone to human error, and requires specialized expertise. Deep learning models, particularly object detection frameworks like YOLO, have demonstrated promising results in automating medical image analysis. This study aims to develop and evaluate a YOLOv8-based deep learning model for automated detection and classification of 14 dental anomaly categories, including Caries, Crowns, Fillings, Implants, and Periapical lesions. The proposed approach addresses limitations in previous YOLO versions by leveraging anchor-free detection and enhanced feature extraction for improved accuracy. The model was trained on a …

A Hierarchical Density-Based Spatial Clustering Of Applications With Noise (Hdbscan) Approach For Identifying Potential Villages In Buleleng Regency, Dina Nur Amalina, Achmad Fauzan

Knowledge Engineering and Data Science

Buleleng Regency, located in Bali Province, possesses diverse village potential, including agricultural production and tourist attractions. However, this potential has not been fully optimized. Therefore, it is important to enhance village potential by clustering villages based on their specific characteristics to identify and prioritize those requiring special attention. This approach aims to promote equitable village development and reduce poverty levels. This study clusters villages in Buleleng Regency based on their potential using the Hierarchical Density-Based Spatial Clustering of Applications with Noise (HDBSCAN) method. The data utilized in this study comprises village potential data obtained from the Buleleng Regency Statistics Office …

Classification Of Anxiety Levels Entering The World Of Work In Final Year Students Using The Neighbor Weighted K-Nearest Neighbor Method, Awang Hendrianto Pratomo, Muhammad Fahmi Adam, Dessyanto Boedi Prasetyo

Knowledge Engineering and Data Science

This study evaluates the accuracy of the Neighbor Weighted K-Nearest Neighbor (NWKNN) method in classifying the anxiety levels of final-year students as they prepare to enter the workforce, particularly in cases of unbalanced data distribution. The system was developed using the prototype method, and NWKNN was applied to classify anxiety levels into low, medium, and high categories. Testing using the Confusion Matrix demonstrated strong performance, achieving an accuracy of 94% based on a dataset of 1009 students, with a 90:10 ratio of training to test data. The results indicate that NWKNN effectively provides classification input values, making it a reliable …

Comparative Analysis Of Bpnn And Lvq For Sundanese Character Recognition, Haviluddin Haviluddin, Herman Santoso Pakpahan, Dinda Izmya Nurpadillah, Hario Jati Setyadi, Medi Taruk, Rayner Alfred

Knowledge Engineering and Data Science

The Sundanese script (Aksara Sunda), an essential part of Sundanese cultural heritage, has been used since the 14th century AD. However, recognizing handwritten Sundanese characters remains challenging due to variations in individual writing styles. This study compares the performance of Backpropagation Neural Network (BPNN) and Learning Vector Quantization (LVQ) for recognizing handwritten Sundanese vowel (Swara) characters. A dataset was collected from 15 individuals, each writing seven Sundanese vowel characters, which were then used for training and testing the recognition models. Experimental results show that BPNN outperforms LVQ, achieving a higher classification accuracy (95.23%), lower Mean Squared Error (MSE), and faster …

Dynamic Key-Based Privacy-Preserving Authentication Scheme For Internet Of Drones, Zain Chaudhary

Honors Theses

The Internet of Drones (IoD) proliferation has catalyzed transformative changes across various industries, from agriculture to urban management. However, expanding drone networks also presents significant security challenges concerning secure communication and authentication. This paper introduces a robust privacy-preserving key-based authentication scheme tailored explicitly for the IoD, utilizing a matrix key generated by Hierarchical Message Authentication Codes (HMAC) and the SHA-256 algorithm to address these vulnerabilities. Our system enhances security by ensuring each drone in the network can authenticate securely and reliably with a central unit, preventing unauthorized access and securing communications against common threats like eavesdropping and impersonation attacks. Our …

Textualism In Practice, Anita S. Krishnakumar

Georgetown Law Faculty Publications and Other Works

It is by now axiomatic to note that textualism has won the statutory interpretation wars. But contrary to what textualists long have promised, the widespread embrace of textualism as an interpretive methodology has not resulted in any real clarity or predictability about the interpretive path—or even the specific interpretive tools—that courts will invoke in a particular case. Part of the reason for this lack of predictability is that textualism-in-practice often differs significantly from the approach that textualism-in-theory advertises; and part of the reason is that textualism-in-theory is sometimes in tension with itself. In light of textualism’s ascendance—and now dominance—on the …

Violence In The Administrative State, Emily R. Chertoff

Georgetown Law Faculty Publications and Other Works

Drawing on an original, interview-based case study of Immigration and Customs Enforcement (ICE) and a synthesis of six decades of social science literature, this Article offers a theory of physical violence in the administrative state that challenges foundational assumptions about administrative law. Approximately one-fifth of federal employees work for administrative agencies that police, fight wars, enforce immigration law, or incarcerate people—in other words, agencies that use force to execute the laws. These agencies are saturated with administrative law that obligates front-line administrators to confer due process, give notice, behave non-arbitrarily, and comply with law. Yet this law often fails to …

A Comparison Of The 2022 Versus 2011 National Institute Of Child Health And Human Development Web-Based Risk Estimator For Bronchopulmonary Dysplasia., Mitch Kinkor, Jake Schneider, Farhath Sulthana, Janelle R. Noel-Macdonnell Phd, Alain Cuna

Manuscripts, Articles, Book Chapters and Other Papers

OBJECTIVE: To compare the predictive accuracy of the 2022 vs 2011 National Institute of Child Health and Human Development estimator for identifying infants at high risk for bronchopulmonary dysplasia (BPD).

METHODS: We conducted a single-center retrospective study of infants ≤28 weeks' gestation. Demographic and respiratory support data were used to calculate risk for BPD or death by the BPD estimators. Our outcomes of interest included (1) treatment with systemic steroids for BPD and (2) composite outcome of death or highest severity of BPD at 36 weeks' postmenstrual age. We used c-statistics and area under receiver operator characteristic curves (AUC) to …

Understanding The Performance And Perception Of Odawa Warfare, 1615–1700, Eric P. Morningstar

Masters Theses

This research employs the ethnohistorical method to explore how the Odawa people perceived and carried out warfare from 1615 to 1700. While historians have examined the Odawa, these Native peoples have frequently not been the central focus in the secondary literature. Many primary sources also offer a vague answer as to how the Odawa conceived and carried out warfare. This study aims to clarify historiographical inconsistencies by quantitatively analyzing a database, constructed by the author, of specific primary references to known hostilities between the Odawa, other Native groups, and Europeans. The analysis includes specific variables germane to hostilities such as …

Treating The Administrative As Law: Responding To The “Judicial Aggrandizement” Critique, Chad Squitieri

Scholarly Articles

Modern separation-of-powers jurisprudence—including key decisions decided during the Supreme Court’s 2023-24 term—has been critiqued on the grounds that it constitutes “judicial aggrandizement,” i.e., that it impermissibly empowers federal courts to decide separation-of-powers questions better left to Congress and the President. This “judicial aggrandizement” critique goes too far to the extent it suggests that federal courts may not play any role in enforcing the separation of powers. After all, ours is a system of a President and Congress constrained by a written Constitution—not a King in Parliament free to act outside of judicial constraint. But the “judicial aggrandizement” critique is persuasive …

Nil Enforcement Preemption, Josh Lens

Utah Law Review

The National Collegiate Athletic Association (NCAA), which serves as the multibillion-dollar college athletics industry’s primary governing body, has faced several recent legal challenges to its operations. One particularly prominent challenge projects to result in litigation that will significantly impact college athletics’s future. This article explores the circumstances that led to this precarious position: (1) the NCAA’s recent changes to its longstanding rules prohibiting student-athlete compensation for use of their names, images, and likenesses; (2) several state legislatures’ attempts to provide universities in their states with a competitive advantage by legislating restrictions on the NCAA’s ability to enforce its rules; and …

The Constitutional Meaning Of Financial Terms, Tomer Stein, Shelby Ponton

Utah Law Review

The Constitution has sixty-three financial terms. These financial terms include, for instance, “compensation,” “expenditures,” “debt,” “coin,” “revenue,” “securities,” and “bankruptcies”—all of which determine the elementary building blocks of our governmental makeup. When the Supreme Court interprets the meaning of these financial terms, it does so in isolation and without a consistent framework. This Article proposes a unified framework for the interpretation of financial terms in the Constitution which comprises two fundamental canons of construction.

First, this Article proposes that all financial terms in the Constitution should be interpreted with fiscal and monetary neutrality—interpreting financial terms in a way that does …

Echoing Into The Void: Rucho’S State-Level Progeny, Avery E. Emery

Utah Law Review

When politicians are given free rein to draw districts, they choose their voters rather than allowing the voters to choose their representatives. They rely on “highprofile paid consultants, armies of lawyers, terabytes worth of voting data, advanced software, and even a supercomputer or two”386 to guarantee large margins for their party. This decennial process has reduced electoral competition, made the House of Representatives less responsive,388 and spread a sentiment of disenfranchisement throughout the electorate.

Now is the time for the judiciary—staffed by judges whose role in our constitutional system is to check the political branches—to take decisive action to protect …

Distribution Through Taxation Versus Legal Rules, And The Epistemic Limits Of Law-And-Economics, Erick J. Sam

Utah Law Review

This Article develops an epistemic critique of the view, widely held in law-and-economics, that legal rules should always be chosen for efficiency and that redistribution to produce a fair distribution should be conducted solely through the tax-and-transfer system. In place of this orthodox view, I develop an alternative distributive theory.

The canonical ‘double distortion’ argument for the orthodox position, formulated by Kaplow and Shavell (1994), claims that opting for efficient legal rules minimizes economic distortions and maximizes aggregate social wealth, some of which can then be redistributed via the tax-and-transfer system to those who would have been better off under …

Using Task Clarification And Feedback To Teach Feedback Reception Skills To Registered Behavior Technicians, Kira Elizabeth Flynn

Theses and Dissertations

Feedback is a common behavioral intervention to address performance issues in a variety of settings. Feedback has been heavily studied in organizational behavior management; most of this research has focused on the parameters of feedback delivery and behaviors of the feedback provider that impact the effectiveness of the feedback delivered. However, only two studies to date have examined how to teach individuals to effectively receive feedback. The current study investigated the efficacy of task clarification and feedback to teach appropriate feedback reception skills to individuals. One participant met mastery criteria of the feedback reception skills with task clarification alone, while …

Synthesis Of Photocleavable Molecules For Neurological Applications, Nishal Madujith Egodawaththa Arachchilage Don

Theses and Dissertations

In recent biomedical research, the precise control of molecular dynamics through light activation has emerged as a powerful tool, particularly in the field of neurobiology. This approach involves the use of photocleavable cages or photoprotective groups (PPGs) that are chemically tethered to biologically active molecules such as neurotransmitters or calcium chelators. These cages remain inert until exposed to specific wavelengths of light, typically in the visible range, triggering the release of the active compound with high spatiotemporal precision.

For neurotransmitter systems, such as glutamate (Glu), which plays a critical role in synaptic transmission and memory formation, researchers have developed novel …

Improving Robustness Of Learning-Based Approaches In Autonomous Systems And Engineering Education, Godwyll Aikins

Theses and Dissertations

This dissertation advances the development of robust learning-based approaches across two complementary domains: engineering education and autonomous systems. Through four studies, this research addresses critical challenges in preparing data-proficient engineers and developing reliable autonomous systems that can operate under uncertainty and incomplete information. The engineering education study examines how mechanical and aerospace engineering undergraduates conceptualize and develop data proficiency skills essential for modern engineering practice. Through interviews with 27 students, the research employs the How People Learn framework to analyze student perspectives on information literacy, data interpretation, and computational thinking. The findings inform pedagogical strategies for developing data proficiency in …

Human Vs. Ai Counseling: College Students' Perspectives, Mohammad Amin Kuhail, Nazik Alturki, Justin Thomas, Amal K. Alkhalifa

All Works

Transitioning to college life while navigating the complexities of emerging adulthood can be stressful. In some instances, it may even lead to the onset of mental health problems or the exacerbation of existing issues. While therapeutic resources are typically available in tertiary educational contexts, social stigma may lead to service underutilization. Additionally, high student-to-therapist ratios can create bottlenecks to access when such services are sought. Offering an adjunct to traditional campus counseling services, AI chatbots can potentially address such issues. Chatbots can provide flexible, accessible, anonymous, and cost-effective first-line support, improving access and extending traditional treatment methodologies. This study evaluates …