Digital Commons Network^™

Genocide And Politicide: The Psychology Of State Terrorism, Clark Mccauley

Psychology Faculty Research and Scholarship

This chapter reviews the psychologies that enable mass killing of civilians by government (politicide). A typology of perceived threats is advanced, with special attention to contamination threat and essentializing the enemy. Three groups of actors are distinguished: perpetrators, leaders, and the mass public that leaders and actors claim to represent. Predictors of genocide are considered, highlighting the importance of means and opportunity.

Aac In Schools: How District Infrastructure And At Specialists Shape Implementation Practices, Grace T. Clark, Lesley Rytel, Endever* Corbin, Madison Skibicki, Gabriella Pesantes

Department of Communication Sciences and Disorders Faculty Scholarship and Creative Works

Purpose

Research on barriers to augmentative and alternative communication (AAC) implementation in schools has focused primarily on individual clinician factors rather than district infrastructure. This clinical focus article examined how the presence or absence of a dedicated assistive technology (AT) specialist was associated with differences in AAC implementation and the use of AAC as a Tier 1 support.

Method

Eighteen educators, including AT specialists, SLPs, and a special educator, from 17 U.S. school districts participated in a 75-minute structured Zoom focus group. They rated 11 statements about district AAC practices using a 4-point Likert scale and discussed their responses in …

Building Interprofessional Competency-Based Education Into Graduate Program Clinical Experiences: A Childhood Apraxia Of Speech And Sensory Processing Disorder Case Study Analysis, Kate Nealon, Zahava L. Friedman

Department of Communication Sciences and Disorders Faculty Scholarship and Creative Works

Supporting interprofessional competency-based education requires embedding educational opportunities within coursework and clinical experiences. This education prioritizes student engagement and learning from, with and about other professionals to support collaboration and communication amongst clinicians (CAIE, 2020). While the provision of interprofessional clinical opportunities is recommended, it is challenging to implement effectively in professional and pre-professional settings. Academic settings have the unique ability to provide interprofessional collaborative clinical experiences for students. This pilot study focuses on Speech Language Pathology (SLP) and Occupational Therapy (OT) clinical assessment experiences, specifically in the context of pediatric motor speech and sensory processing disorders. These disorders often …

In Search Of The Soul Of Creativity: Authorship, Agency, And Meaning In Refractive Collaboration With Generative Ai, Fatima Nazir

Theses and Dissertations

When images can be generated in seconds, what remains uniquely human in the act of creation? In Search of the Soul of Creativity: Authorship, Agency, and Meaning in Refractive Collaboration with Generative AI investigates where authorship, agency, and meaning reside within design practices mediated by generative AI. Rather than using AI to produce predictable results, this research deliberately relinquishes control to observe how generative systems interpret language through their own learned associations. Through a practice-led investigation across four generative models within the Higgsfield platform, user prompts were progressively shortened from full sentences to single words, revealing recurring patterns and cultural …

Markov Chain Wave Generative Adversarial Network For Bee Bioacoustic Signal Synthesis, Kumudu Samarappuli, Iman Ardekani, Mahsa Mohaghegh, Abdolhossein Sarrafzadeh

Electrical & Computer Engineering Faculty Publications

This paper presents a framework for synthesizing bee bioacoustic signals associated with hive events. While existing approaches like WaveGAN have shown promise in audio generation, they often fail to preserve the subtle temporal and spectral features of bioacoustic signals critical for event-specific classification. The proposed method, MCWaveGAN, extends WaveGAN with a Markov Chain refinement stage, producing synthetic signals that more closely match the distribution of real bioacoustic data. Experimental results show that this method captures signal characteristics more effectively than WaveGAN alone. Furthermore, when integrated into a classifier, synthesized signals improved hive status prediction accuracy. These results highlight the potential …

Interpretable Battery Soh Prediction: A Comparative Interpretability Framework For Multi-Architecture Ml Models, Shafiyee Islam, Gon Namkoong

Electrical & Computer Engineering Faculty Publications

This work introduces a unified interpretability-efficiency framework for lithium-ion battery state of health (SOH) prediction using hybrid deep learning architectures. We comparatively analyze four hybrid models: CNN LSTM MultiHead, CNN Feature Extractor LSTM, DNN LSTM, and DNN BiLSTM to disentangle how network topology, feature composition, and computational design influence both predictive fidelity and physical interpretability. By integrating Monte Carlo Shapley (MC Shapley), background occlusion SHAP (BoSHAP), and ablation analysis, we quantify the contribution and robustness of five electrochemical feature groups: time, capacity, voltage, dQ/dV and peaks of dQ/dV from NASA battery dataset. The results reveal a consistent dominance of differential …

Generative Ai-Driven Optimization In Flexible And Reconfigurable Manufacturing Systems, Salah Hammedi, Hicham Chaoui, Lotfi Nabli

Electrical & Computer Engineering Faculty Publications

Flexible and Reconfigurable Manufacturing Systems (FRMSs) are essential for coping with variability in modern production environments; however, efficient scheduling and rapid reconfiguration remain challenging. This paper presents a hybrid optimization framework that integrates Colored Petri Net (CPN) modeling with Generative Artificial Intelligence (GenAI) to enhance scheduling performance and system adaptability. The CPN formalism ensures verifiable modeling of system dynamics, while a transformer-based generative model produces candidate scheduling and reconfiguration strategies. Simulation experiments were conducted under static, dynamic, and adaptive scenarios, including machine breakdowns and dynamic job arrivals. Performance was evaluated using makespan, mean flow time, machine utilization, and reconfiguration latency. …

Stabilized Multi-Objective Optimization For Camouflage Attack In Remote Sensing, Omid Rajabi Rostami, Kazi Aminul Islam, Liuwan Zhu, Rui Ning, Chungsheng Xin, Hongyi Wu, Jiang Li

Electrical & Computer Engineering Faculty Publications

We investigate the vulnerability of multi-task maritime surveillance systems in which object detection and semantic segmentation operate concurrently. We propose Stabilized Multi-Objective Optimization (SMO), a framework that jointly targets Mask R-CNN and U-Net with a single universal adversarial texture in a digital white-box setting, with additional cross-model transfer evaluation. SMO combines a logarithmic-inversion loss transformation, feature inconsistency, and a systematic comparison of six optimization strategies for seven heterogeneous objectives. The loss transformation controls loss-dependent gradient scaling, while a U-Net generator supplies a spatially coherent texture and a hull-aligned application function accommodates target geometry without explicit Expectation over Transformation (EoT) sampling. …

Effect Of Graphene Oxide On The Upconversion Photoluminescence Behavior Of Er/Yb Co-Doped Pvdf-Go Composite Nanofibers, Saptasree Bose, Jack Ryan Summers, Bhupendra B. Srivastava, Karen Lozano, Victoria Padilla-Gainza

Mechanical Engineering Faculty Publications

Upconversion photoluminescence (UCPL) materials, particularly rare-earth (RE) doped nanoparticles, have garnered significant attention due to their ability to convert near-infrared (NIR) excitation into visible emission, offering benefits such as high photostability, long lifetimes, low autofluorescence, and deep tissue penetration. Among various platforms, polymer-based one-dimensional (1D) nanofibers with in-situ lanthanide doping remain relatively unexplored, despite their superior mechanical flexibility, processability, and potential for improved luminescence performance. In this study, we report the fabrication and UCPL quenching behavior of Er3+/Yb3+ co-doped polyvinylidene difluoride (PVDF) nanofibers incorporated with graphene oxide (GO), synthesized for the first time using the scalable Forcespinning® technique. PVDF, a …

A Comprehensive Survey Of Prompt Engineering Techniques In Large Language Models, Tonmoy Debnath, Md Nurul Absar Siddiky, Muhammad Enayetur Rahman, Prosenjit Das, Antu Kumar Guha, Muhammad Rezaur Rahman, H. M. Dipu Kabir

Electrical & Computer Engineering Faculty Publications

Prompt engineering has arisen as a pivotal discipline in optimizing the performance of Large Language Models (LLMs) by structuring inputs to enhance coherence, accuracy, and task alignment. This paper comprehensively surveys various prompting techniques, systematically categorizing them according to their application domains and methodological foundations. Fundamental approaches like zero-shot and few-shot prompting are examined along with advanced strategies, including chain-of-thought reasoning, retrieval-augmented generation, and self-consistency mechanisms. A rigorous qualitative analysis is conducted to evaluate each technique's strengths, limitations, and optimal use cases, offering a structured framework for selecting the most effective prompting strategies. Theoretical insights and empirical findings are consolidated …

Misinformation And The Law, Gustavo Ribeiro

Scholarly Articles in Law Reviews & Journals

This Article bridges critical gaps between the growing body of social science research on misinformation and the persistent challenges jurors face in evaluating potentially unreliable evidence in courtrooms. Misinformation—a pervasive issue undermining decision-making in democratic societies—mirrors the difficulties jurors encounter in distinguishing truth from falsehood amid compelling but unreliable evidence. The consequences of such challenges are dire: wrongful convictions, racial disparities, and the erosion of public trust in the legal system.

This Article is the first piece of legal scholarship to provide a comprehensive discussion of current research on the psychological mechanisms underlying susceptibility to misinformation—such as the illusory truth …

The New Neccesity, Ezra Rosser

Scholarly Articles in Law Reviews & Journals

According to the U.S. Supreme Court, cities are free to criminalize homelessness. The 2024 case City of Grants Pass v. Johnson is the most important homelessness case in decades and was a significant blow to advocates for the unhoused. The conservative majority rejected the idea that city ordinances criminalizing sleeping in public amounted to cruel and unusual punishment insofar as they penalized status. There is no sidestepping the loss. But within the faint glow of the embers of the oral argument and of the decision itself, there is the possibility that a new understanding of necessity, supported by the same …

Application Of Organic Geochemistry To The Characterization Of Hydrochar And Biochar: Insights Into Composition And Optimization, Michael A. Kruge, Teresa A. Centeno, Alvaro Amado-Fierro, José Manuel González-Lafuente, Rubén Forján, José Luis Gallego

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

Hydrothermal carbonization has garnered significant attention in recent studies due to potential applications of the hydrochar produced, which overlap with those of torrefied biochar, including soil improvement, carbon sequestration, and energy production. However, unlike the relatively uniform properties of biochar, hydrochar characteristics can vary greatly depending on the feedstock used. Advanced characterization techniques are essential to better understand these materials and enhance their practical applications. Research on hydrochar requires a multi-faceted approach, including molecular-level studies, to optimize production processes and identify specific applications.

In this regard, analytical methods commonly used in organic geochemistry could play a crucial role in deepening …

Workforce Development Academy For Youth, Hassan Hashemian

Mineta Transportation Institute

To address the need for a diverse workforce in the 21st century and create an awareness of the career paths and opportunities that exist in the transportation industry, the College of Engineering, Computer Science, and Technology at the California State University, Los Angeles (CSULA) has created the Workforce Development Academy for Youth (WDAY). The goal of this program is to build a pipeline of diverse, well-qualified young professionals for the transportation industry. The program works with high school students and teachers to offer academic courses, basic skills, workforce readiness training, internships, extracurricular activities, and career placements to prepare students and …

Examining The Current And Potential Impacts Of Erosion, Flooding, And Permafrost Thaw On Small Businesses In The Lower Kuskokwim Basin, Alaska, Dela Yao Agbagba

Dissertations and Theses @ UNI

Climate change has intensified hazards such as flooding, erosion, and permafrost thaw in Arctic Communities, threatening small business buildings, disrupting operations, and reducing income. Small businesses are important to these communities because they provide essential goods and services and support local economic activity. Understanding their vulnerability and adaptation needs is therefore important for sustaining communities in the Lower Kuskokwim Basin, Alaska.

This study used GIS spatial analysis and content analysis as its two main methods, supported by a limited number of semi-structured interviews. A spatial database of 78 businesses across seven Alaska Native Communities was developed, and flood susceptibility was …

The Influence Of Scale In Modeling Social Vulnerability And Disaster Assistance, Sina Razzaghi Asl, Oronde Drakes, Eric Tate, Samuel Brody, Wesley Highfield, Kayode Atoba

Political Science & Geography Faculty Publications

Understanding how social vulnerability relates to disaster impacts is critical for addressing social equity, yet the role of spatial scale in this relationship is often overlooked. Most studies use aggregated data, risking ecological fallacy-misinterpreting individual outcomes from group-level data. This study examines how spatial scale influences the relationship between social vulnerability and federal disaster assistance after Hurricane Harvey. Using spatial econometric models at both household and census tract levels, we assessed the strength of key vulnerability indicators in explaining disaster assistance. Results show that disability, housing tenure, household size, and income predict assistance at the household level, but their influence …

Beyond Discrete Indicators: Modeling Intersectional Flood Vulnerability, Sina Razzaghi Asl, Eric Tate, Christopher T. Emrich, Md Asif Rahman, Kaeleb Royster

Political Science & Geography Faculty Publications

Social vulnerability to flooding is shaped by intersectional social marginalization, yet most quantitative assessments employ indicators of single populations. This study applies spatial machine learning to examine how the intersectional social vulnerability indicators of poverty-race, poverty-housing tenure, and race-housing tenure compare with traditional discrete indicators of single populations in predicting flood exposure in California. Using geographically weighted random forests and partial dependence plots, we model spatial heterogeneity and non-linear relationships between social vulnerability and exposure. We quantified flood exposure using a population-adjusted measure derived from building footprints and modeled 500-year fluvial and pluvial flood hazard. The results reveal distinct explanatory …

Hybrid Threats And Deterrence Effectiveness In Europe, Chick Edmond

Political Science & Geography Faculty Publications

Objectives:
The current European security landscape is characterized by the growing intersection of historical security challenges (i.e., "traditional" security issues) and new forms of hybrid threats. These changes call for a significant re-evaluation of the role of deterrence in today's world. Traditional deterrence approaches have focused on the use of military capability as well as credible retaliatory threats. However, the recent development of hybrid warfare, including cyber-attacks, disinformation campaigns, economic coercion, and clandestine sabotage has made it increasingly difficult to distinguish between times of war and times of peace. This research argues that existing frameworks for deterring adversaries will increasingly …

The Evolving Beijing Consensus: Chinese Communist Party Political Control And Economic Trade Offs, Ian Murphy

Political Science & Geography Faculty Publications

China’s rapid economic rise and unique development trajectory have long been the subject of scholarly debate, often framed through the concept of the “Beijing Consensus” as an alternative to the Washington Consensus. While initial conceptualizations highlight innovation, sustainability, and national sovereignty, later analyses highlighted elements like state capitalism and authoritarianism, particularly in the wake of the 2008 Global Financial Crisis. This paper argues that the Beijing Consensus is undergoing a significant evolution under Chairman Xi Jinping, increasingly prioritizing the Chinese Communist Party’s political security, regime stability, and ideological control at the expense of economic growth. This marks a notable departure …

Nuclear Deterrence And The Security Dilemma In A Complex Multipolar World, Chick Edmond

Political Science & Geography Faculty Publications

Objectives: The purpose of this research project is to examine how nuclear deterrence intersects with the concept of security dilemma, i.e., when a state takes an action intended to increase its own security it may inadvertently create a risk or threat to another state and contribute to increased levels of tension. Fourth, how nuclear and conventional systems are becoming increasingly interconnected, which will serve to potentially amplify risks associated with these systems.

Methods: Utilizing a qualitative analytical approach of documents such as national strategy documents, defense policy statements and historical records of crises dating from 1945-2025, the study identifies four …

Autonomous Weapons And Strategic Stability, Chick Edmond

Political Science & Geography Faculty Publications

The increasing number of artificial intelligence (AI) elements within military systems has introduced new forms of security dilemmas related to speed, level of secrecy, and transfer of responsibility from humans to machines. This article addresses the question of whether or how AI enabled autonomous weapons can lead to greater levels of strategic instability. Three causal mechanisms were determined by this study to potentially create destabilizing effects due to the introduction of autonomy; the first mechanism is a reduction in time available for decision making. The second mechanism involves the creation of multiple pathways of escalation. The third mechanism is the …

Global Evidence On Scaling Nature-Based Solutions For Compound Hazards, Sina Razzaghi Asl, Anahita Azadgar

Political Science & Geography Faculty Publications

Nature-based solutions (NbS) are increasingly promoted for climate adaptation to compound hazards, but systematic evidence of their effectiveness is still scarce. We address this gap with a systematic review of 38 studies. Each study was sorted by what its measurement design can support, not by what its authors claim. This produced four groups. Direct studies attribute a measured hazard reduction to the intervention, proxy studies infer protection from ecosystem condition, prioritization studies map suitable locations without estimating performance, and qualitative studies describe effectiveness without measuring it. We detect trends in geographic distribution, hazard combinations, intervention types, methodological approaches, and strength …

The Contested Kinmen Model, Ian Murphy

Political Science & Geography Faculty Publications

[Introduction] Kinmen County, Taiwan, stands as an anomaly in East Asia- it is an archipelago administered by Taipei but visually and geographically tethered to the coastline of the People's Republic of China (PRC). For over seven decades, these islands have served as the physical frontline of the unfinished Chinese Civil War, functioning first as a kinetic battleground and later as a laboratory for cross-strait engagement. Yet, to view Kinmen as a relic of the Cold War is to miss it's contemporary strategic significance. The region has now become the primary theater for the PRC's "Kinmen Model" (Jinmen Moshi, symbols redacted), …

Analysis Of Environmental Site Assessments Of Brownfield Redevelopment In Waterloo, Iowa, Sage Cappi

Dissertations and Theses @ UNI

This thesis examines how Environmental Site Assessments (ESAs) are interpreted and utilized in the context of Brownfield redevelopment, with particular attention to the relationship between historical context, contamination, health risk, and future redevelopment possibilities. While ESAs are widely used to inform redevelopment decisions, there remains a gap in understanding how reported environmental data translates into meaningful assessments. To address this, this study analyzes historical and environmental data from six Brownfield sites, identifying documented contaminants, their associated carcinogenic group, and redevelopment potential. Central to this research is the development of a relational framework designed to function as a more approachable interpretive …

Small-𝑥 Asmptomatics Of The Leading-Twist Flavor Singlet Quark Tmds, Daniel Adamiak, M. Gabriel Santiago, Yossathorn Tawabutr

Physics Faculty Publications

In this paper, we investigate the small-𝑥 behavior of the flavor-singlet, leading-twist quark transverse-momentum-dependent parton distribution functions (TMDs) using the light-cone operator treatment. This formalism allows us to express TMD operators at small 𝑥 in terms of polarized dipole amplitudes, enabling a systematic approach to their small-𝑥 evolution. We derive the evolution equations for these TMDs and solve them within the large-𝑁𝑐 approximation under the linearized, double-logarithmic approximation, where 𝑁𝑐 represents the number of quark colors. Expanding on previous work on unpolarized and helicity TMDs, we present the small-𝑥 asymptotics for a comprehensive set of TMDs, including the Sivers function, …

Trigonometric Continuous-Variable Gates And Hybrid Quantum Simulations Of The Sine-Gordon Model, Tommaso Rainaldi, Victor Ale, Matt Grau, Dmitri Kharzeev, Enrique Rico, Felix Ringer, Pubasha Shome, George Siopsis

Physics Faculty Publications

Hybrid qubit-qumode quantum computing platforms provide a natural setting for simulating interacting bosonic quantum field theories. However, existing continuous-variable gate constructions rely predominantly on polynomial functions of canonical quadratures. In this work, we introduce a complementary universality paradigm based on trigonometric continuous-variable gates, which enable a Fourier-like representation of bosonic operators and are particularly well suited for periodic and non-perturbative interactions. We present an ancilla-based framework for implementing trigonometric gates with arguments given by arbitrary Hermitian functions of qumode quadratures. The protocol yields unitary gates deterministically, and non-unitary gates through probabilistic post-selection. As a concrete application, we develop a hybrid …

Geometry Of Almost-Conserved Quantities In Symplectic Maps: Approximate Invariants In Nonlinear Accelerator Systems, T. Zolkin, S. Nagaitsev, I. Morozov, S. Kladov

Physics Faculty Publications

We present a perturbative method for constructing approximate invariants of motion directly from the equations of discrete-time symplectic systems. This framework offers a natural nonlinear extension of the classic Courant-Snyder (CS) theory for systems with 1 degree of freedom—a foundational cornerstone in accelerator physics now spanning seven decades and historically focused on linear phenomena. The original CS formalism emerged under conditions where nonlinearities were weak, design goals favored linear motion, and analytical tools—such as the Kolmogorov-Arnold-Moser theory—had not yet been fully developed. While various normal-form methods have been proposed to treat near-integrable dynamics, the approach introduced here stands out for …

Intensive Longitudinal Methods: Toward A Psychological Science Of Daily Life, Jean-Philippe Laurenceau, Ana M. Digiovanni, Niall Bolger

Department of Psychology Faculty Scholarship and Creative Works

Intensive longitudinal methods (ILMs) represent a class of longitudinal designs used to understand the flow of people's thoughts, feelings, physiology, and behaviors in their natural settings. This term encompasses daily diaries, experience sampling, ecological momentary assessment, ambulatory assessment, and related methods. Research on ILMs has grown exponentially, evolving into a core approach that complements more traditional designs. This article builds on this journal's first review on this topic, published in 2003. In the quarter-century since, there have been marked advances in design, technology, and statistical modeling. Three core ideas permeate this review: To build adequate theories of psychological functioning in …

Centering Community Concerns And Recommendations Amid Rapid Policy Changes: Impacts On Social Protection, Well-Being, And Health Access, Kriti Vashisht

School of Social Work Faculty Publications

Rapidly evolving policies on gender identity and expression have highlighted a wide range of public and political perspectives on whether to limit or support demands for gender identification and healthcare services for the LGBTQ+ community. Due to the rise in these pro and against narratives and incidents, there were increased protection risks for this group. Scholars and practitioners working closely with LGBTQ+ members are witnessing increased distress and concerns among them, creating further barriers to care and heightened stigma. This is why community-based scholars and educators initiated an open consultation to create a non-partisan space for dialogue, reflection, and learning …

A Light Unto My Path? Discerning Prophetic Words For The Latino/A Church Today, M. Daniel Carroll R. Ph.D

Apuntes: Reflexiones teológicas desde el margen hispano

No abstract provided.