Digital Commons Network^™

Message In A Bottleneck: Supply Chain Disruptions And Manufacturing Output In The United States, Raja N. Kali, Gu K. Jingping, Erica J. Neuyou

Economics Faculty Publications and Presentations

We examine the effect of container shipping disruptions on US manufacturing output before and during the Covid-19 pandemic. We augment maritime trade with a global production network model, where the reliability of container logistics is critical for the on-time and full availability of inputs and the delivery of output to foreign markets. We combine a US container shipping reliability dataset with input-output and trade data to construct a novel supply chain disruption index that captures the integration of upstream and downstream linkages of the US manufacturing sector into the global supply chain. Our findings suggest that a one-unit shock leads …

Gender Trends In Professional Advancement Among Academic Pediatric Neurologists., Juliet K. Knowles, Angela L. Hewitt, Prathyusha Teeyagura, Bren Botzheim, Derek Boothroyd, Ria Pal, Chrisoula Cheronis, Shermila Pia, Rebecca Macrae, Christine Shrock, Taelor Hancock, Rayann Solidum, Jaclyn Peraino, Amy Hill, Laura Owlett, Sara N. Moss, Catherine Tran, Daniel A. Castillo, Mark S. Wainwright, Renée A. Shellhaas, Nomazulu Dlamini, Mustafa Sahin, Rose N. Gelineau-Morel, Joshua L. Bonkowsky

Manuscripts, Articles, Book Chapters and Other Papers

No abstract provided.

“Contains: Gluten” And “Gluten Free”; Fda, It’S A No-Grainer!, Elizabeth Bulat

Cardozo Law Review

Reading food, drug, and cosmetic labels is a frequent practice for all individuals with allergies. However, unlike those who are allergic to peanuts, dairy, or another major food allergen, individuals with celiac disease (“celiac consumers”) are not offered a bold, capitalized statement clearly identifying the allergen they seek to avoid. Instead, celiac consumers are tasked with studying a list of ingredients and relying on their own ability to catch any sources of gluten. This Note considers the authority provided by Congress to the Federal Food and Drug Administration (FDA) to remedy this rash regime. Then, this Note proposes that the …

Innovation Interrupted: Legal And Institutional Risks Of Undermining Public-Private Partnerships, Jennifer S. Fan, Xuan-Thao Nguyen

Articles

Part I traces the development of the Bayh–Dole Act and discusses public–private partnership collaboration. Part II focuses on intellectual property generation by universities, illustrating the benefits of public– private partnership. Then Part III highlights the Trump administration’s federal funding cuts to universities that jeopardize the established public–private partnerships. Finally, Part IV details the consequences of how federal funding cuts impact the venture capital sector and the legal architecture of innovation, eroding the United States’ standing in the innovation race.

The Behavior Assessment System For Children Third Edition (Basc-3)’S Classification Accuracy For Attention-Deficit/Hyperactivity Disorder (Adhd) In College Students, Angela Lucas, Luis E. Aguerrevere, Nina Harness

Journal of Human Services: Training, Research, and Practice

Attention-Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental condition that frequently persists symptoms into adolescence and adulthood. Diagnosing ADHD in college-aged individuals poses a challenge due to the lack of consistent strategies among clinicians for effectively evaluating adult ADHD. The purpose of this study was to determine the classification accuracy of the Behavior Assessment System for Children (Third Ed.; BASC-3) Inattention/Hyperactivity composite t-score in predicting the diagnosis of ADHD among college students. Results indicated that the BASC-3 Inattention/Hyperactivity composite demonstrated predictive power, high specificity (94%) and moderate-to-high sensitivity (70%), supporting its utility as a predictor of ADHD. Further analysis was conducted …

Assessing Cognitive Abilities In Students With Hearing Loss And Specific Learning Disabilities, Pooja Gupta, Corinna V. Cole, William H. Blackwell

Journal of Human Services: Training, Research, and Practice

This literature review synthesizes approximately 30 years of research on students from kindergarten through 12th grade with hearing impairments who are suspected of having a specific learning disability (SLD). Assessing SLDs in these students presents significant challenges, particularly when evaluating cognitive abilities using the Cattell-Horn-Carroll (CHC) theory of intelligence. This theory encompasses seven broad cognitive domains that influence academic success in reading, mathematics, and writing, including crystallized intelligence, fluid and sequential reasoning, long-term and short-term memory, visual processing, auditory processing, and processing speed. Since auditory processing is inherently affected in students with hearing impairments, this review excludes it from discussion. …

English-Spanish Bilingual Speech Language Pathologists’ Experiences Evaluating English Language Learner Students: Incorporating Conceptual Scoring, Barbara De Jesus Rivera, Raul Prezas

Journal of Human Services: Training, Research, and Practice

The number of multilingual/bilingual students has increased across schools in the United States. Assessment in both the native language and English is considered the standard for evaluating bilingual children referred for language testing. Conceptual Scoring is an evaluation approach for bilingual students that considers the students’ responses in both languages to obtain an overall language score; however, there is variability among practitioners on best practices for multilingual assessment.

Purpose: The current study (a) sought to explore the decision-making process of bilingual SLPs when evaluating bilingual students, (b) to gain a deeper understanding of how bilingual SLPs incorporate conceptual scoring in …

Investigating The Redox Properties Of Photoredox Catalysts And Organic Compounds Through Quantum Chemistry, Peter Girnt

Open Access Theses & Dissertations

This dissertation explores the redox behavior of organic and organometallic systems using density functional theory (DFT), focusing on electron transfer mechanisms and structur –property relationships. The first study investigates the two-electron reduction of bianthrone isomers, revealing a potential-inverted ECE mechanism driven by isomerization and electronic destabilization. The second study examines ruthenium photoredox catalysts, showing that ligand fusion positions significantly affect redox potentials due to backbone dearomatization, while p extension has minimal impact. Together, these findings provide insight into redox tuning strategies and support the rational design of advanced catalysts and electroactive materials.

J Mich Dent Assoc October 2025

The Journal of the Michigan Dental Association

Each month, the Journal of the Michigan Dental Association delivers news, information, and features about Michigan dentistry to our state's oral health community and the MDA's 6,200+ members. It remains the main publication reaching Michigan dentists and is available worldwide through ADACommons. The October 2025 (Volume 107, No. 10) issue of the Journal is published in a digital-only format to provide updates and insights for Michigan's oral health community and MDA members. Print editions will resume in November. The October issue highlights the critical importance of advocacy through the MDA Dental Political Action Committee (PAC) and provides practical, management-focused information …

The Construction Of Mathematical Reasoning As A Pedagogical Object, Nick Pratt, Julie Alderton

School of Law, Humanities and Social Sciences

This paper explores how policy aims in mathematics curricula appear in classrooms and, crucially, how the resulting pedagogical practice affects the nature of mathematics itself. Whereas there have been many studies of policy and its relationship with teachers’ practices, few have examined epistemological effects; what mathematics becomes as it is translated from an educational, and political, intention into classroom activity. To focus the study, we examine reasoning as a central idea in mathematics, in the English primary (5-11 years) context. Rather than concentrating on best practice, as an objective account of how to teach reasoning, we adopt a post-structural theoretical …

Corporate Governance And Tax Compliance Of Publicly Listed Companies In The Philippines, Hans Theo S. Ramirez, Jhulliane Kiss A. Mijares, Alyson Jane D. Constantino, Marwel B. Toledo, Jacob Marius L. Tolentino, Elma L. Mallorca

Journal Article

Corporate tax compliance is the key to the development of the economy. Annual effective tax rate is applied in this study to identify what corporate governance mechanisms—shareholders, management, and corporate social responsibility (CSR) strategy—are responsible for inducing tax compliance. A panel regression analysis of 20 listed companies in the Philippines from 2012-2023 has shown that the sole determinant of corporate tax compliance is CSR strategy. Effective CSR practices help firms to minimize tax avoidance by paying the appropriate corporation tax rate mandated by law. This is an example of how CSR can enhance ethical financial behavior. This study integrates stakeholder, …

State Of Nev. V. Dist. Ct. (Bankhead), 141 Nev. Adv. Op. 39 (August 21, 2025), Ashley Arita

Nevada Supreme Court Summaries

No abstract provided.

Azg Limited Partnership V. Dickinson Wright Pllc, 141 Nev. Adv. Op. 37 (Aug. 21, 2025), Randolph Anderson

Nevada Supreme Court Summaries

No abstract provided.

Journey To Proficiency: The Impact Of Explicit Problem-Solving Instruction In A Fifth-Grade Math Classroom, Brittany J. Terry

Theses and Dissertations

This action research study examined the impact of explicit problem-solving instruction on fifth-grade students’ mathematics proficiency and attitudes across skill levels. At the outset, students relied on rote procedures rather than conceptual reasoning, limiting their ability to apply skills in new contexts or understand why procedures work. Grounded in constructivist and sociocultural learning theories, the study aimed to move students beyond procedural fluency through explicit instruction of problem-solving strategies, modeling, guided practice, collaboration, and reflection. Over 8 weeks, 32 students participated in daily lessons. Findings from pre–post assessments, interviews, and portfolios indicate that explicit problem-solving instruction supported measurable growth in …

The Role Of Prelimbic Projections To The Rostromedial Tegmnetal Nucleus In Cue Discrimination, Emma Lane Carlson

Theses and Dissertations

Maladaptive decision-making, such as persistent reward seeking despite negative consequences, is a hallmark of substance use disorder (SUD) and related psychiatric conditions. These behaviors are thought to arise from impairments in aversive learning and disrupted neural signaling that normally supports behavioral inhibition. The prelimbic cortex (PL) plays a critical role in encoding cue–outcome associations and exerting top-down control over behavior, while the rostromedial tegmental nucleus (RMTg) serves as a GABAergic inhibitor of midbrain dopamine neurons in response to aversive stimuli. Although both structures have been implicated in reward and avoidance processes, little is known about how direct PL-RMTg projections contribute …

The Processing Of Emotional Prosody And Semantics In Native And Non-Native Chinese Speakers, Cheng Xiao

Theses and Dissertations

Emotional information in spoken language is conveyed through both semantic and prosodic cues. While listeners interpret the meaning of utterances (what is said), they also detect the speaker’s emotional prosody (how it is said). For non-native speakers, processing these two types of information simultaneously can be challenging, particularly in a tonal language such as Mandarin Chinese, where the same acoustic feature (i.e., pitch) encodes both lexical semantics and emotional prosody. This dissertation reports a series of behavioral and fMRI experiments investigating how native and non-native Chinese speakers perceive and process emotional prosody and semantics in words and sentences. Behaviorally, results …

Developing A Comprehensive Schoolwide Discipline Plan In Title 1 Southern Schools, Rose Clark Kebe

Theses and Dissertations

This qualitative case study explored how teachers in Title I schools across the southern United States perceived and experienced school discipline practices. The study addressed the problem of inconsistent implementation of restorative and preventive frameworks, which has contributed to inequitable outcomes, teacher frustration, and lost instructional time. Although initiatives such as Positive Behavioral Interventions and Supports (PBIS) are mandated across many districts, inconsistent use and limited fidelity have restricted their effectiveness in improving equitable discipline and school climate.

The purpose of the study was to examine teacher perspectives to inform the development of a culturally responsive, schoolwide behavioral system grounded …

Anthropomorphism In Language And Thought: The Effect Of Agentive Linguistic Framing On Readers’ Perceptions Of Ai Animacy, Dawson Petersen

Theses and Dissertations

Over the past decade, deep learning AI systems have gone from academic obscurity to near cultural centrality in the developed world. As these technologies become increasingly integrated into daily life, there is growing cause for concern about AI anthropomorphism—i.e., the perception of AIs as more human than they really are. Despite the potential risks, AI developers continue to market their technologies using agentive language that seems to be designed to encourage anthropomorphism. The current dissertation utilizes behavioral and eye-tracking methods to examine the relationship between agentive linguistic framing and AI anthropomorphism in both controlled judgments and automatic inferences. The results …

Application Of Machine Learning For Vascular System Analysis, Alireza Bagheri Rajeoni

Theses and Dissertations

The analysis of vascular structures is critical for diagnosing, monitoring, and treating vascular diseases such as aneurysms, stenosis, and vascular calcification. Traditional methods often rely on manual interpretation of imaging data, which is time-consuming, subjective, and not scalable. This work explores the application of advanced machine learning techniques to automate and enhance vascular system analysis. Our contributions include achieving state-of-the-art accuracy in vascular segmentation, developing a machine learning pipeline to automatically quantify vascular calcification in peripheral arterial disease, and designing a multi-stage machine learning system for abdominal aortic aneurysm analysis that identifies aneurysm boundaries and estimates aneurysm volume in a …

Downwind-Upwind Flux Path Analysis Method For Model Reduction Performance Evaluations, Christian Robert Smith

Theses and Dissertations

Large, complex chemical kinetic models have long since been limited by the computational cost it takes to evaluate said model. Over time many reduction methods have been developed to combat this computational cost. However, very little has been done towards evaluating the limitations of reductions as a way of understanding the original model’s characteristics. This paper aimed to use a path flux analysis-based reduction algorithm to rapidly develop multiple reduced mechanisms for a 96 species FFCM-2 methane chemical kinetic model as well as an 858 species n-Dodecane chemical kinetic model. The goal of formulating these reduced mechanisms was to identify …

Towards Accurate First-Principles Modeling In Heterogenous Catalysis: Ethane Dehydrogenation And Hydrogenolysis Over Pt Catalysts, Mubarak Ayo Bello

Theses and Dissertations

First-principles modeling has become central to heterogeneous catalysis research, offering mechanistic insight and guiding catalyst design, yet conventional approaches often struggle to accurately describe complex catalytic systems due to methodological uncertainties, simplified assumptions, and the structural diversity of nanoparticle catalysts. This dissertation addresses these challenges using ethane dehydrogenation (EDH) and hydrogenolysis (EH) over platinum catalysts as model systems. The first study benchmarks density functional theory (DFT) functionals against the random phase approximation (RPA) for the EDH network on Pt(111), identifying cost-effective functionals and demonstrating the efficiency of BEEF-vdW ensembles for capturing functional uncertainty. The second study (addressed in prior work) …

A Building Block Approach To Certification By Analysis Applied To A Ditching Analysis, Preliminary Studies, Sean Taylor

Theses and Dissertations

Extended Twin-Engine Operations (ETOPS) certification ensures safe trans-oceanic operation of transport category aircraft. A critical aspect of ETOPS certification is compliance with ditching regulations. The importance of ditching analysis has grown significantly and come under greater scrutiny because of the ‘Miracle on the Hudson’ incident. For transport category aircraft certified under 14 CFR 25 regulations, compliance with ditching requirements, rests on two major components. First, demonstrating acceptable aircraft dynamic behavior during the ditching event and second, ensuring the airframe can withstand the loads generated because of water impact.

Historically, original equipment manufacturers (OEMs) relied on comparisons to existing aircraft with …

Development Of A Strategy To Neutralize Ccl8 Activity And Ablate Ccl8 Cellular Targets, Bernardo Chavez

Theses and Dissertations

The chemokine CCL8 (monocyte chemoattractant protein-2) is a versatile signaling molecule involved in tumor progression, immune cell recruitment, and therapeutic resistance. Through activation of receptors including CCR1, CCR2B, and CCR5, CCL8 promotes leukocyte trafficking, epithelial–mesenchymal transition, and the establishment of immunosuppressive tumor microenvironments. In breast cancer and inflammatory diseases, elevated CCL8 levels correlate with poor clinical outcomes, making it a promising therapeutic target.

A strategy was developed to block CCL8 activity and selectively ablate CCL8 receptor expressing cells. A neutralizing monoclonal antibody, 1G3E5, was identified from a panel of murine candidates based on high affinity CCL8 binding. Sequencing revealed two …

Spectral Modeling Of Electromagnetic Radiation From Power Converters, Regan A. Varner

Theses and Dissertations

Switching power converters are increasingly utilized in contemporary electronics. They are becoming more compact and operate at higher frequencies, which contributes to radiated electromagnetic interference (EMI). This EMI is important to quantify for electromagnetic compatibility of the converters with other nearby systems. In this thesis, analytical models have been developed for both ideal and non-ideal switching waveforms, employing piecewise functions to describe time-domain waveforms, with their corresponding frequency spectra derived and compared to empirical spectra. The results demonstrate that the comparisons with measured frequency data exhibit agreement with the analytical models up to approximately 25 MHz. Additionally, our analysis indicates …

Calculating Surface Current Velocities From Video Generated From A Near Forward-Facing Camera, Colby James Weeks

Theses and Dissertations

This work presents a camera system for estimating surface currents. A combined camera and IMU system provide high resolution images and high precision orientation information, respectively. This eliminates the need for leveling and enables forward looking operation. The hardware stack includes a Lucid Vision Triton TRT162S monochrome camera, an SBG Ellipse D with dual antenna GNSS for precise pose, and an Nvidia Jetson Orin for acquisition and processing. The Ellipse D provides a hardware trigger at 10 Hz to time stamp each frame and to synchronize images with inertial measurements.

A camera calibration step estimates the intrinsic camera parameters and …

Towards Robust Bmocz Schemes For Non-Coherent Wireless Communication, Anthony Joseph Perre

Theses and Dissertations

Non-coherent communication has emerged as a promising approach to address several challenges at the physical layer. A particular scheme called binary modulation on conjugate-reciprocal zeros (BMOCZ) uses the zeros (i.e, roots) of a polynomial to convey information bits. In this thesis, we strive to improve the reliability of BMOCZ in various scenarios. In particular, we utilize machine learning (ML) methods to determine the parameters for BMOCZ and improve upon the decoding performance. Moreover, we introduce a smooshed BMOCZ variant to combat typical impairments encountered within wireless communications, including timing offsets (TOs) for noncoherent orthogonal frequency division multiplexing (OFDM). Through numerical …

Multi-Layer Decision Making For Long-Term Autonomous Mission Based On Dual Process Theory, Shruti Jadhav

Theses and Dissertations

Unmanned aerial vehicles (UAVs) are increasingly used in precision agriculture, where extended autonomous operation is required for monitoring, intervention, and field management. However, achieving long-term autonomy remains challenging due to battery constraints, environmental uncertainty, and the need to balance exploration with event-driven tasks. To address these challenges, a multi-layer decision-making framework inspired by Dual Process Theory (DPT) is developed. The framework combines reactive return-tobase strategies, exploratory navigation, and directional bias from prior missions, with a conflict-monitoring mechanism that adapts system behavior based on real-time conditions. The approach is implemented in a simulated agricultural grid environment, demonstrating improved adaptability and coverage …

Reduced Order Simulator Of A Nuclear Thermal Propulsion System, Jackson Taylor Zazzaro

Theses and Dissertations

This thesis presents the development of a reduced-order simulator for a nuclear thermal propulsion (NTP) system, designed to capture the key thermo-fluid and performance characteristics of such systems while maintaining computational efficiency. The primary objective of this work is to develop and demonstrate a modular simulation framework capable of modeling the coupled physics of an NTP reactor, nozzle, and orbital transfer system. The simulator integrates a reduced-order thermal-fluid model of the reactor, a simplified nozzle model, and an orbital transfer model, providing a comprehensive yet computationally efficient representation of the propulsion process. By employing reduced-order modeling techniques, the simulator achieves …

A Qualitative Study Of Middle School Teachers’ Experiences Integrating Computer Coding Into Mathematics Classrooms, George William Austin Iii

Theses and Dissertations

As computers become more accessible in schools nationwide, teachers are embracing them to impact achievement positively (Brudno, 2013; Cetin, 2016). As a result, computer coding instruction has gained attention as a strategy for providing students with skills that will serve them both pre and post-graduation (Burke & Kafai, 2013; Yadav et al., 2016; Ng, 2017). Computer coding is the process of providing instructions for a computer to follow. In 2017, the South Carolina State Board of Education approved Computer Science and Digital Literacy standards for all K-8 public schools in the state of South Carolina (South Carolina Department of Education, …

Spartan Daily, October 1, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 165, Issue 17