Digital Commons Network^™

Approaches To Enhancing Multiple Hypothesis Testing Methods With Side-Information, Siyu Zheng

Theses and Dissertations

Lesion-symptom mapping (LSM) studies offer insight into the brain areas involved in various aspects of cognition. This is commonly done via behavioral testing in patients with a naturally occurring brain injury or lesions (e.g., strokes or brain tumors). This results in high-dimensional observational data where lesion status (present/absent) is non-uniformly distributed, with some voxels having lesions in very few (or no) subjects. In this situation, mass univariate hypothesis tests have severe power heterogeneity where many tests are known a priori to have little to no power. Additionally, high-dimensional observational data can be grouped according to brain anatomical structure.

In this …

Numerical Simulation For The Design Of Induction Heating Based Radio Frequency Reactor For Ethylene Production, Hunter Teel, Matthew Craps, Hector-Colon Mercado, Perter Ciesielski, Sirivatch Shimpalee

Faculty Publications

Ethylene is a vital petrochemical compound produced in vast amounts yearly by manufacturers that have enough scale to overcome the inherent thermodynamic inefficiencies of the process. In order to address the inefficiencies that prevent smaller scale or intermittent production ethylene, investigation of new production methods are required. In this work, we investigate the use of a radio frequency (RF) based reactor system that generates heat internally as opposed to applying heat externally via steam or direct combustion of fossil fuels. In order to guide the design of an electromagnetic based reactor system, we have created a macroscale model capable of …

A Comparative Techno-Economic Analysis Of Aqueous And Anhydrous Hcl Electrolysis Processes, O. Felix, K. Likit-Anurak, K. Ngamsanroaj, Sirivatch Shimpalee, Ben Meekins

Faculty Publications

The state-of-the-art aqueous HCl electrolysis process is a well-established process for chlorine production but faces challenges such as limited conversion efficiencies, corrosion, and additional pre- and post-electrolyzer processing steps that add to its cost. This study evaluates whether a recently demonstrated anhydrous HCl electrolysis process is more economically viable than the state-of-the-art aqueous process. A 1D electrolyzer model was developed using Aspen Custom Modeler® and integrated into Aspen Plus® for process modeling. Multiple conversion efficiencies (30.5 %, 50 %, 80 %, and 93.4 %) were analyzed for the anhydrous process, with various heat recovery and heat exchanger configurations assessed using …

Functional Time Transformation Model With Applications To Digital Health, Rahul Ghosal Ph.D., Marcos Matabuena, Sujit K. Ghosh

Faculty Publications

The advent of wearable and sensor technologies now leads to functional predictors which are intrinsically infinite dimensional. While the existing approaches for functional data and survival outcomes lean on the well-established Cox model, the proportional hazard (PH) assumption might not always be suitable in real-world applications. Motivated by physiological signals encountered in digital medicine, we develop a more general and flexible functional time-transformation model for estimating the conditional survival function with both functional and scalar covariates. A partially functional regression model is used to directly model the survival time on the covariates through an unknown monotone transformation and …

1. Mission, History, General Organization And Governance Of Saint Mary’S College, Saint Mary's College Of California

Faculty Handbook

No abstract provided.

Complete Handbook, Saint Mary's College Of California

Faculty Handbook

No abstract provided.

Navigating Perceptions: How Organizational Type And Message Source Affect Willingness To Fly In Automated Air Taxis, Cody James Sweatt

Doctoral Dissertations and Master's Theses

A new era of transportation and business is beginning to emerge. Advanced air mobility (AAM), which uses highly automated aircraft that transport passengers and cargo in the underutilized, low-altitude airspace above and around urban areas, is rapidly becoming a reality (FAA, 2023). These new companies will utilize air taxis, which are automated, electric, vertical takeoff and landing (eVTOL) aircraft and will potentially foster a revolutionary new commerce infrastructure. Unfortunately, it is not currently understood how the credibility of a message source or specific type of organization that owns and operates an automated air taxi company influences a customer’s willingness to …

Factors Influencing Digital Technology Adoption And Use Among Msmes In Indonesia, Andry Manodotua Panjaitan, Niko Sudibjo, Cahya Pulupi Meilani

DLSU Business & Economics Review

The purpose of this study is to see how attitudes toward behavior, subjective norms, and digital technology literacy affect adoption intentions and their impact on digital technology usage behavior in small and medium enterprises in Indonesia. This study used 532 MSME samples and tested them using SEM PLS analysis. The test findings showed that eight proposed hypotheses were accepted, and one was rejected. Digitally literate MSME owners and leaders can increase market awareness and set clear digital transformation goals for their companies. Furthermore, with government support for technology in MSMEs, digital technology is expected to be used not just for …

Hybrid Deep Learning Approaches For Accurate Electricity Price Forecasting: A Day-Ahead Us Energy Market Analysis With Renewable Energy, Rahman Md. Saifur, Hassan Reza

Faculty, Staff and Student Publications

Forecasting day-ahead electricity prices is a crucial research area. Both wholesale and retail sectors highly value improved forecast accuracy. Renewable energy sources have grown more influential and effective in the US power market. However, current forecasting models have shortcomings, including inadequate consideration of renewable energy impacts and insufficient feature selection. Many studies lack reproducibility, clear presentation of input features, and proper integration of renewable resources. This study addresses these gaps by incorporating a comprehensive set of input features, while these features are engineered to capture complex market dynamics. The model’s unique aspect is its inclusion of renewable-related inputs, such as …

Realism, Instrumentalism, And The Language Of Science Teaching: A Quantitative Study, James M. Almand

Doctor of Education (Ed.D)

The purpose of this quantitative, non-experimental, correlational study was to investigate how science educators' epistemological orientations, specifically, their leanings toward realism or instrumentalism, influence the degree of certainty in their instructional language. The study addressed a significant gap in science education literature by empirically analyzing whether educators' philosophical beliefs about the nature of scientific knowledge predict the language they use when teaching science. Data were collected through a researcher-developed survey, the Science Educators' Epistemological Beliefs and Classroom Language Practices Survey, which measured participants' epistemological positions and linguistic tendencies across a sample of current and former science educators in the United …

Building A Long Text Privacy Policy Corpus With Multi-Class Labels, David Stein, Florencia Marotta-Wurgler

Vanderbilt Law School Faculty Publications

Legal text poses distinctive challenges for natural language processing. The legal import of a term may depend on omissions, cross-references, or silence, Further, legal text is often susceptible to multiple valid, conflicting interpretations; as the saying goes: a good lawyer’s answer to any question is “it depends.”This work introduces a new, hand-coded dataset for the interpretation of privacy policies. It includes privacy policies from 149 firms, including materials incorporated by reference. The policies are annotated across 64 dimension that reflect the applicable legal rules and contested terms from EU and US privacy regulation and litigation. Our annotation methodology is designed …

Justice Citizenship, Lauren Sudeall

Vanderbilt Law School Faculty Publications

In recent years, the topic of democracy has seen a resurgence-perhaps due in part to a recognition of its heightened global instability. Yet, in these pervasive discussions regarding democracy and its role with respect to governance, relatively little attention has been paid to the courts, particularly at the state and local levels where most people are likely to interact with them. In a time when the courts' authority is being questioned, it may be helpful to emphasize that courts, like all democratic institutions, are "of the people, by the people, [and] for the people." In relation to the other branches …

The Moral Boundary Of The Firm, Michael P. Vandenbergh, Jane E. Miller, Margaret Blair, Jonathan M. Gilligan

Vanderbilt Law School Faculty Publications

Scholars have wrestled with the legal boundary of the firm for generations. The legal boundary limits the extent to which a firm can be held liable for the torts, contractual, and regulatory obligations of other corporations. The existence of a legal boundary suggests that the law limits incentives for firms to control the climate and other environmental harms caused by their corporate suppliers. Yet recent research demonstrates that many of the largest corporations impose environmental requirements on their suppliers that exceed the legal requirements imposed on these suppliers. This suggests that some factors other than the threat of liability may …

Teratogenic Effects Of Serotonin Receptor 2b Disruption On The Migration And Cardiac Derivatives Of The Cardiac Neural Crest, Brian K. Wells, Gwyneth K. Garramone, Amira Mahomed, Max Ezin

Biology Faculty Works

Background: Cardiac neural crest cells (cNCCs) are critical for heart development, and their disruption can result in congenital heart defects. Serotonin (5-HT) signaling, specifically via 5-HT2B and 5-HT2C receptors, regulates diverse physiological processes, including neural crest migration. This study investigates how modulation of 5-HT2B and 5-HT2C receptor activity impacts cNCC migration and the development of their derivatives, with relevance to serotonergic drug safety during pregnancy.

Methods

Chicken embryos at HH8 were treated with 50 μL of 20 μM 1-Methylpsilocin (1-MP), an inverse agonist of 5-HT2B and agonist of 5-HT2C, and collected at HH14 to assess cNCC migration. Embryos were pre-treated …

Multifaceted Skepticism: A Comprehensive Approach In Auditing Practice, Ida Ayu Budhananda Munidewi, Unti Ludigdo, Ali Djamhuri, Wuryan Andayani

DLSU Business & Economics Review

This research uses a modified grounded theory approach to understand the behavior of auditors in Indonesia who have an Eastern cultural background in applying professional skepticism. The research results reveal that auditor behavior in practice applies multifaceted skepticism. Multifaceted skepticism refers to the idea that professional skepticism in auditing is not a one-dimensional approach. That recognizes the complexity of the audit environment and the need for auditors to consider various factors when applying their skepticism. Multifaceted skepticism brings us to a less simplistic view of professional skepticism, which until now has only been seen as an on-or-off switch. Instead, this …

Reaction Control Mechanism In Deoxyuridine 5'-Triphosphate Nucleotidohydrolase, Aaron Delay

School of Biological Sciences: Dissertations, Theses, and Student Research

Deoxyuridine 5'-triphosphate nucleotidohydrolase (dUTPase) is an enzyme involved in the pyrimidine biosynthesis pathway, a key component of cellular DNA metabolism. It regulates intracellular uracil carrying triphosphate levels by hydrolyzing dUTP, thereby providing a substrate for thymidylate synthase (TS). The effective inhibition of dUTPase is expected to enhance TS-targeted chemotherapy by promoting thymine-less apoptosis.

Although the reaction mechanism of dUTPase has been studied, the human nuclear homotrimeric form remains complex, as all three subunits cooperatively form a single active site. As a result, the detailed molecular dynamics of its catalysis are still not fully understood. In this study, I investigated the …

Perencanaan Investasi Hijau Pada Usaha Menengah Besar Di Provinsi Jawa Tengah, Avi Budi Setiawan, Maulida Dewi Pangestika, Putri Patria Kusuma, Mochammad Yusuf

Jurnal Ekonomi dan Pembangunan Indonesia

This study aims to analyze green investment planning in medium and large enterprises in Central Java Province. This study employs several analytical tools, including regression with quadratic variables, Klassen Typology Analysis, and Analytic Network Process (ANP). The research locus is 35 districts/cities in Central Java Province. The results of the study show that industries in Central Java contribute significantly to economic transformation, but also harm environmental quality, the regression results show the Pollution Haven Hypothesis in several main industries in Central Java. The sectors that have potential to reduce the quality of the environment are oil and gas mining, textiles, …

Personalized Learning Strategies In The Classroom, Kendra Carlson

Master's Theses & Capstone Projects

Personalized learning is essential for students to be more engaged and have higher achievement in the classroom. There are too many students who are struggling in the classroom with staying engaged and this is then leading to students struggling with their learning. Research has shown that personalized learning strategies can provide promising outcomes for students who are struggling in the classroom. This inquiry-based research study aims to determine if personalized learning strategies can help struggling learners to be engaged and learn in the classroom. The study utilized a qualitative approach, using both teacher surveys and observations of a summer school …

Data Annotations, Bradley M. Ratliff

Model Desert Terrain Monochromatic DoT Dataset

Pixel-wise object masks for each polarimetric scene in ASL file format for the Model Desert Terrain Monochromatic DoT data.

The Effect Of Surface Roughness On The Nanopore Structure Of Tantalum Pentoxide, Gage Cook, Scarlet Fields, Sarah Pooley, Joshua Russell, Cyrus Koroni, Hui Xiong

Idaho Conference on Undergraduate Research

Lithium-ion batteries have been frequently utilized for storing energy due to their high energy density. Nanoporous metal oxides, including tantalum oxide (Ta_₂O_₅) have many uses in the field ranging from electrodes for the purposes of energy storage to biomaterials. Anodization, the process of using an electric current to cover a metal with an oxide layer, is one method for oxide layer growth because it is cost-effective and can be easily fine tuned. Ta_₂O_₅ is chemically inert and has electrochemical properties, however, current anodization methods generally use dangerous and corrosive anodization conditions. This project …

Numerical Approach To The Optimization Of The Bandwidth Tunability Of A Non-Cascaded Multifunctional Optical Filter, Ramon Benedict L. Lapina, Benjamin B. Dingel, Clint Dominic Bennett

Ateneo Innovation Center

Previously, we reported a multifunctional optical filter which is a Photonic Integrated Circuit (PIC)–based, noncascaded bandpass filter wherein the Ring Resonators-based Direct-Coupled-All-Pass Filter (D-APF) and Cross-coupled All-pass Filter (C-APF) are attached to each of the arms of a single Mach Zehnder Interferometer (MZI). This device is an alternative platform to the conventional platform of programmable photonic filters that does not rely on combining different photonic elements to implement various filter functionalities. For one, it can generate (i) Narrowband Filter, (ii) Asymmetric Interleaver (AI) and (iii) Symmetric Interleaver (SI) responses by varying limited number of specific parameters of the device. It …

I Grew Up ‘Coloured’ In Apartheid Sa — Now I Cry For My Beloved Country, The Us, Penelope Andrews

Other Publications

No abstract provided.

Distributed Monitoring Of Moving Thermal Targets Using Unmanned Aerial Vehicles And Gaussian Mixture Models, Gustavo Vejarano, Yuanji Huang, Pavithra Sripathanallur Murali

Electrical and Computer Engineering Faculty Works

This paper contributes a two-step approach to monitor clusters of thermal targets on the ground using unmanned aerial vehicles (UAVs) and Gaussian mixture models (GMMs) in a distributed manner. The approach is tailored to networks of UAVs that establish a flying ad hoc network (FANET) and operate without central command. The first step is a monitoring algorithm that determines if the GMM corresponds to the current spatial distribution of clusters of thermal targets on the ground. UAVs make this determination using local data and a sequence of data exchanges with UAVs that are one-hop neighbors in the FANET. The second …

Understanding Georgia Child Welfare Case Manager’S Perspective, Practicum Experience, And Retention, Takierra Dawson

Walden Dissertations and Doctoral Studies

Child welfare workers have high turnover rates and low retention rates. While there is well-documented research on reasons for turnover, no research was found on how a case manager's practicum experience impacts turnover rates. The purpose of this qualitative study was to explore child welfare case managers' perspectives on retention and to understand how their practicum and internship experiences influence retention. The theories that ground this research include systems theory by Bertalanffy and social constructivism by Vygotsky. The two research questions for this generic qualitative study were: What are the experiences of child welfare case managers during their internship and …

Exploring Cultural Capital And Literacy Practices In Chinese Immigrant Families: A Critical Ethnographic Case Study, Yuechen Sun

Theses and Dissertations

This dissertation explores the cultural capital and literacy practices of Chinese immigrant families residing in a Southeastern U.S. city. Using an ethnographic case study approach, the research examines two groups of Chinese immigrant parents: those with higher educational backgrounds and those who are restaurant owners. The study investigates how parents’ educational and cultural backgrounds influence their perceptions of and commitments to their children’s education, as well as their home literacy practices. It also explores their understanding of the model minority stereotype and their views on educational equity in the U.S. The findings reveal that both groups of parents value education …

Physics Oriented Deep Learning For Material Prediction And Generation, Nihang Fu

Theses and Dissertations

The discovery of new materials is critical to advancing various industries, but traditional experimental methods for materials discovery remain slow and resource-intensive. Recent advances in machine learning (ML), particularly deep learning (DL), have greatly improved and accelerated two main aspects of modern computational material discovery: material design (e.g., material generation) and material screening (e.g., property prediction). However, a key challenge remains: standard ML models often struggle to perform domain-specific tasks effectively. Incorporating domain-specific knowledge, specifically the underlying physics of materials, into ML/DL models is key to improving the accuracy and reliability of material generation and prediction models.

This dissertation discusses …

The Impact Of A Case-Based Learning (Cbl) Intervention In A Medical Spanish Course, Deonna Lavette Reliford

Theses and Dissertations

I implemented a different instructional approach for my medical Spanish course in Spring 2025. This case-based learning intervention utilized two main learning theories of socio-constructivism and situated learning theory in translation and interpreting studies (SLTIS) grounded in the learning design framework of case-based learning (CBL) to answer three research questions. Cases in both Spanish and English were provided for study participants to analyze and discuss. This research study used an embedded mixed-methods action research design (Efron & Ravid, 2020), with qualitative data embedded as the secondary source of data within a study that prioritized the primary quantitative data collected from …

Causes And Effects Of Science Tutor Attrition At The Colleges Of Education In The Northern Zone Of Ghana: A Qualitative Study, Collins D. Amadu, Rose Dognia, Solomon Boachie, Taarique-Ahmad Yahaya

Journal of Global Education and Research

The study investigated the causes and effects of science tutor attrition in the colleges of education in the Northern Zone of Ghana. Three science and mathematics colleges were used for the study. The study adopted a qualitative approach with 9 participants who volunteered to take part. The interview guide was the sole instrument for data collection. The interviews were conducted through face-to-face and phone calls. The recorded conversations were transcribed and categorized into themes. The study found that the science tutor attrition rate was caused by several factors. These factors could be grouped into unmet expectations of the tutors and …

Effectiveness Of Digital Learning Materials On Students' Achievement In Science: A Meta-Analysis, Bingo L. Aligo, Maricar S. Prudente

Journal of Global Education and Research

Researchers have been examining educational resources and content to enhance and support the learning experience. As technology continues to transform the way we learn and access information, digital learning materials have become increasingly popular in modern education. This study looked at how different kinds of digital learning materials affected science students’ learning achievement. The moderator variables used were grade level (kindergarten, primary, intermediate, and secondary), subject (biological sciences, general science, and physical sciences), and length of exposure (1 to 3 weeks, 4 to 6 weeks, and 10 to 12 weeks). A total of 14 studies were considered, involving 789 students …

Afghanistan: Consolidation Of Power Under The Taliban, Challenges And Sustainability, Ali Ahmad Jalali

Journal of Strategic Security

Four years after the return of the Taliban to power in Afghanistan, the country under the clerics’ rule is peaceful but not stable. The country is internationally isolated, economically in crisis and socio-politically divided. Despite earlier pledges to share power with other Afghan parties and respect democratic rights of all Afghans,^[i] the Taliban swiftly reinstated many of their harshest policies, pushing women out of public life and allowing no dissent.

Adhering to an ideology of radical exceptionalism, the ruling Taliban maintain control over the country through a totalitarian governance while keeping ideological ties with regional and global Jihadist groups. …