Digital Commons Network^™

Interplay Of Atomicity, Polarization, And Quantization On Performance And Reliability In Gan Finfets, Salim I. Almenshad

Dissertations

GaN based nanoscale high-electron-mobility transistors (HEMTs) are the next generation of transistor technology that features the unique combination of higher power, wider bandwidth, low noise, higher efficiency, and temperature/radiation hardness than conventional AlGaAs and Si based technologies. However, enhancement mode operation for nanoscale channel region is the most recent needed area of research. As well as reliability of these devices remains a major concern. The main objective of this proposed research is to numerically investigate the role of atomistic inhomogeneity and quantization in low-dimensionality lateral tri-gated AlGaN/GaN FinFET devices. It is shown that 3-D configured AlGaN/GaN FinFETs with narrow enough …

The Rending Of The Temple Curtain In The Gospel Of Luke: Its Relocation And Implications, Kim Kai Chan

Electronic Theses and Dissertations

The rending of the temple curtain at Jesus’s death is recorded in all three Synoptic Gospels, yet Luke relocates the event from after to before Jesus’s death, creating interpretive challenges. While Mark connects the curtain’s tearing to the rending of the heavens at Jesus’s baptism through the verb σχίζω, this study argues that Luke reframes the tearing motif by linking the curtain’s rending to the tearing of the new garment in the parables of Luke 5:36–39, likewise employing σχίζω.

On the one hand, these parables in Luke 5 represent Jesus’s reasoning with his critics that to resist him and his …

Laponite Nanosilicate As A Platform For Antigen–Adjuvant Co-Delivery In Vaccination, Haoyu Qi

McKelvey School of Engineering Graduate Student Theses & Dissertations

Nanosilicates are two-dimensional, charged nanomaterials with tunable surface chemistry that enable electrostatic interactions with proteins and nucleic acids. These properties make Laponite nanosilicate a promising platform for vaccine delivery, where coordinated antigen–adjuvant presentation and lymph node delivery are important for shaping immune responses. This thesis investigated nanosilicates as scaffolds for lysozyme-based antigen delivery and co-delivery with CpG.

The preparation method reduced the apparent size of the NS–Lys–CpG complex at pH 10, although neutralization to pH 7 promoted larger aggregate formation. In vivo IVIS imaging after footpad injection showed persistent Cy7-associated fluorescence at the injection site for up to three weeks …

Global Kinetic Dynamics Of Black Hole Magnetospheres And Accretion, Martin Luepker

Arts & Sciences Graduate Student Theses and Dissertations

The Event Horizon Telescope (EHT) has provided stunning images of the immediate vicinity of two supermassive black holes, M87* and Sgr A*, revealing the plasma swirling around them. To understand the complex emission observed, researchers have turned to general relativistic magnetohydrodynamic (GRMHD) simulations, which model the plasma as a fluid. These simulations have been successful in reproducing some features of the EHT images, but they rely on assumptions that do not apply in the low-density, high-magnetic-field environments around these black holes. General relativistic particle-in-cell (GRPIC) simulations offer a first-principles approach to modeling this environment, but their application to global black …

2026 Deerfield Fair 4-H Exhibit Building Premium Book, Extension

UNH Cooperative Extension

No abstract provided.

2026 Deerfield Fair 4-H Animal Premium Book, Extension

UNH Cooperative Extension

No abstract provided.

Disrupting Transnational Human Trafficking Networks: A Practitioner's Perspective On Intelligence-Driven, Offender-Focused Strategies, Rochelle Keyhan

Dignity: A Journal of Analysis of Exploitation and Violence

This article examines human trafficking through the lens of organized crime and explores how this perspective can be applied to contemporary trafficking cases in the United States. While trafficking is often prosecuted as an isolated criminal act, many incidents are linked to larger transnational and domestic organized crime networks. The discussion highlights the activities of notorious syndicates, including international cartels, street gangs, and well-funded networks of sex buyers, demonstrating how these entities exploit vulnerable populations for profit. Reframing human trafficking as a sector within organized crime shifts investigative and prosecutorial strategies away from victim-dependent models, which often require survivors to …

The Confluence Of Conflict-Induced Vulnerability, Organized Crime, And Sex Trafficking In Receiving States: A South African Civil Society Perspective, Monique Emser

Dignity: A Journal of Analysis of Exploitation and Violence

The crime-conflict nexus has been well-documented in conflict-affected and post-conflict states. Criminal networks make use of manifold methods and strategies to exploit individual and structural vulnerabilities, particularly those affected by war, displacement, and precarious migration journeys, forming the backbone of most conflict-induced trafficking ecosystems, whether in countries of origin, transit, or receipt. This article examines the intersection of sex trafficking, diaspora communities, and organized crime within South Africa as a receiving state from a civil society perspective. It underscores the deficiencies in traditional, reductionist, enforcement-based approaches to counter-trafficking by the state, where nested subsystems, such as those produced by endemic …

The Nature Of Human Trafficking Enterprises: Analysis Of U.S. And International Prosecutions--And The Path Forward, Jay Albanese

Dignity: A Journal of Analysis of Exploitation and Violence

The primary objective of this research is to develop a description and typology of the nature of serious cases of human trafficking and how traffickers, their victims, and consumers (the demand) overlap and interact across locations. This study examines known human trafficking enterprises for which sufficient evidence has been obtained to result in prosecution. These are also serious cases because US federal and international prosecutions result when the offenses are interstate or international in scope. Using a sample of US cases prosecuted over three calendar years (2021-2024), combined with an international sample of cases, an effort is made to develop …

Sex Buying, Sex Trafficking, And Organized Crime: Introduction To A Special Issue, Marcel Van Der Watt, John A. Winterdyk

Dignity: A Journal of Analysis of Exploitation and Violence

No abstract provided.

Behind The Screen: Online Sex Buyer Networks And The Organized Criminal Promotion Of Exploitation, Ava Kamdem, Vanessa Bouché, Ben Silver, Nick Freeman, Justin Euteneier

Dignity: A Journal of Analysis of Exploitation and Violence

This study investigates the extent to which online sex buyer communities in the United States function as organized criminal networks pursuant to the United Nations Convention against Transnational Organized Crime’s definition of organized criminal groups. Drawing from theories of organized crime, social network analysis, and digital ecosystems, we conceptualize sex buyers not as isolated actors but as participants in coordinated, mutually reinforcing networks that share information to facilitate exploitation, mitigate risk, and sustain criminal behavior. To test this framework, we scraped over 1.2 million posts from a publicly accessible sex buyer forum, comprising 72,974 unique users and nearly 800,000 direct …

Balancing War And Peace In Taekwondo Athlete Development: A Multi-Criteria Coaching Decision Support Framework Using Leadership Scale For Sports And Fuzzy Ahp, King Harold A. Recto, Hazel Jade L. Antonio, Jhyrald Anthony P. Dalida

Electronics, Computer, and Communications Engineering Faculty Publications

Coaching effectiveness is frequently evaluated through competitive outcomes, with the assumption that coaching behaviors directly influence athlete performance. This study examined the relationship between perceived coaching behaviors and individual win percentage among collegiate Taekwondo athletes using the Leadership Scale for Sports (LSS). Descriptive statistics, correlation analysis, and regression analysis were conducted across five coaching dimensions: Training and Instruction, Democratic Behavior, Autocratic Behavior, Social Support, and Positive Feedback. Results showed that none of the coaching dimensions demonstrated a statistically significant relationship with win percentage. Although coaching behaviors did not significantly predict win percentage, the findings suggest that athlete development is shaped …

Validated Near-Infrared Spectroscopy And Chemometric Modelling For Rapid Quantification Of Essential Oil Yield And Α/Β-Santalol In Santalum Album L., Muhammad Hassnain, Muhammad Rizwan Azhar

Research outputs 2022 to 2026

The sandalwood industry remains constrained by destructive, time-intensive assays for essential oil (EO) yield, composition, moisture content, and wood fraction, which limit real-time decision-making. We report a unified near-infrared spectroscopy-artificial intelligence (NIRS-AI) platform for non-destructive analytics across the Santalum album L. value chain. Reflectance and transmittance spectra from solid matrices (disks, logs, chips, and powders), oils, ethanol extracts, and CID-derived emulsions were acquired using benchtop (400–2500 nm) and portable (900–1700 nm) spectrometers and calibrated against hydrodistillation, gas chromatography, extraction, and moisture assays. Advanced chemometric modelling using AI-based machine learning techniques, including regularised regression, ensemble learning, boosting algorithms, and neural networks, …

An Open-Source Evaluation Framework For Risc-V Co-Design-Based Decimal Arithmetic, Riaz Ul Haque Mian, Michiko Inoue

Research outputs 2022 to 2026

Hardware–software co-design is a balanced strategy for computationally intensive algorithms such as decimal computing. It can provide several Pareto points for the development of embedded systems in terms of hardware cost and performance. In this study, we propose an efficient and accurate evaluation framework for decimal computing. The framework was designed and developed for hardware–software co-design decimal arithmetic using the RISC-V ecosystem. New binary and decimal-oriented instructions supported by an accelerator were developed. The framework can perform cycle-accurate analysis for performance and assess hardware overhead for co-design-based decimal arithmetic. Unlike previous studies that focused primarily on implementing and evaluating individual …

Early-Onset Colorectal Cancer With Liver-Only Metastases: A Retrospective Cohort Study Integrating Prospectively Collected Real-World Clinical And Molecular Data From An Australian National Database (2009–2024) To Guide Treatment Planning, Savio G. Barreto, Christos S. Karapetis, Shahid Ullah, Matthew Burge, Susan Caird, Angus Campbell, Azim Jalali, Ross Jennens, Muhammad A. Khattak, Belinda Lee, Stephanie H. Lim, Shehara Mendis, Louise Nott, Timothy J. Price, Jeremy D. Shapiro, Jeanne Tie, Javier Torres, Colin Williams, Rachel Wong, Vanessa Wong, Peter Gibbs

Research outputs 2022 to 2026

Objective: To leverage the Treatment of Recurrent and Advanced Colorectal Cancer (TRACC) registry (an Australian cancer database) to explore the ideal timing and sequence of therapies and the factors influencing these decisions in colorectal cancer (CRC) patients with liver-only metastases to inform contemporary decision-making and future trials.

Study Type: Retrospective registry-based cohort study using the TRACC registry.

Setting and Participants: Consecutive patients with liver-only metastatic CRC enrolled in the TRACC registry.

Main Outcome Measures: To explore cancer biology, intended treatment at presentation, actual treatment received and the resultant outcomes for early-onset CRC (EOCRC) (≤ 50 years) and late-onset CRC (LOCRC) …

Optimizing Few-Shot Learning In Pruned Large Language Models With Task-Specific Prompts, Danyal Aftab

Dissertations

Few-shot learning enables large language models to efficiently perform tasks given only a limited number of labeled examples. However, training these models entirely from scratch requires substantial computational resources, making it challenging for many organizations to fully leverage their potential. This thesis explores how structured pruning, task-specific prompting, and parameter-efficient fine-tuning can be combined to preserve few-shot learning capabilities in compressed LLMs, while also extending their utility to real-world recommendation systems.

In this research, we propose the Tailored LLM framework, which first reduces model size through structured pruning and then enhances few-shot learning performance using carefully designed prompts. We experiment …

Collegiate Athletes’ And Coaches’ Communicative Constitution Of Resilience: A Case Study, Lillian B. Feder

College of Communication Faculty Research and Publications

Resilience processes are communicative in nature and vital to the wellbeing and success of athletic personnel and organizations. However, the communicative components of resilience-building are largely ignored in sport scholarship and practice. This study seeks to bridge that gap by using the communication theory of resilience as a sensitizing concept to develop a thorough understanding of communicative resilience-building processes in athletics. Semi-structured in-depth interviews with members of a Division I college baseball team were analyzed using thematic co-occurrence analysis. Findings indicate that collegiate athletes and coaches experience resilience-building as a combination of mental toughness (i.e., persistence and discipline) and resourcefulness …

Dental Board Of California, Grant Lockhart, Katie Gonzalez, Marcus Friedman

California Regulatory Law Reporter

No abstract provided.

Department Of Insurance, Lisbeth Abigail Rosales, Charlotte Fuchs, Marcus Friedman

California Regulatory Law Reporter

No abstract provided.

State Bar Of California, Ramy Khadra, Amine Elrayes, Marcus Friedman

California Regulatory Law Reporter

No abstract provided.

Semiparametric Cointegrating Rank Selection For Curved Cross-Section Time Series, Peter C. B. Phillips

Research Collection School Of Economics

Cointegrating rank selection is studied in a function space reduced rank regression where the data are time series of cross-section curves. Consistent cointegrating rank estimation is developed using information criteria extended to curve time series environments. The asymptotic theory involves two-parameter Gaussian processes that generalise the standard limit processes involved in cointegrating regressions. Simulations provide evidence of the effectiveness of consistent rank selection by the BIC criterion and the tendency of AIC to overestimate order as in standard lag order selection in autoregression, as well as in reduced rank regression with multiple time series.

Teacher Self-Efficacy And Its Relationship To Student Achievement: A Quantitative Analysis Using Map Growth Data, Joseph Todd Holzmann

Electronic Theses and Dissertations

One factor that has been widely studied is teacher self-efficacy. Teacher self-efficacy is often considered an indicator of teacher effectiveness and has been linked to a variety of positive educational outcomes. The purpose of this quantitative study was to examine the relationship between teacher self-efficacy and student achievement. Additionally, the study investigated whether teacher self-efficacy differed based on years of teaching experience, grade level taught, and subject area taught. The Teachers’ Sense of Efficacy Scale (TSES), developed byTschannen-Moran and Woolfolk Hoy, was used to measure teacher self-efficacy among 88 participants with corresponding student MAP Growth data available for analysis. Results …

Kindergarten Teachers’ Perceptions, Experiences, And Challenges Using Visual Supports For Children With Autism, Jasmine M. Mcnair

Electronic Theses and Dissertations

This qualitative case study examined kindergarten teachers’ perceptions, experiences, and challenges related to the use of visual supports for students with autism spectrum disorder in East Texas. Grounded in cognitive load theory, the study explored whether visual supports enhance learning outcomes by reducing cognitive overload. Four research questions addressed teachers’ perceptions of effectiveness, implementation challenges, the influence of teacher attitudes, and differences based on teaching experience. The researcher collected data through semistructured interviews with 10 kindergarten inclusion teachers and supplemented by classroom observations. Thematic analysis revealed five primary themes: emotional impact and student growth, visual supports as essential instructional tools, …

A Quantitative Exploration Of Public School Teachers’ Colorblind Racial Attitudes And Their Teaching Practices, Lindsey Dopheide

Dissertations

Teachers play a significant role in shaping student’s academic experiences, social development, and understanding of race and diversity within school settings. Because schools function as important sites of racial socialization, teachers’ beliefs about race may influence how they interpret student behavior, respond to inequities, select instructional practices, and engage with culturally diverse classrooms. One framework that has received increasing attention within psychological and educational research is colorblind racial ideology (CBRI) which reflects the minimization or denial of the continuing significance of race and racism in society. Colorblind racial ideology has been identified in prior literature as a dominant framework for …

A Primary Care Randomized Controlled Trial Investigating The Efficacy Of A Caregiver-Focused Prevention Program For Child Sexual Abuse, Cassandra Dukes

Dissertations

Child sexual abuse (CSA) affects 1 in 4 girls and 1 in 13 boys before the age of 18, resulting in significant long-term physical, emotional, and social consequences. Caregivers play a crucial role in preventing CSA by engaging in preventative behaviors with their children. Primary care settings may be an avenue through which to educate caregivers on their role in prevention of CSA. The present study used a randomized controlled trial (RCT) design to investigate the efficacy of a caregiver-focused educational program to prevent CSA, provided via integrated behavioral health (IBH) in a pediatric primary care setting. Participants (n=56) were …

Establishing And Validating Foundational Competencies In The Application Of Behavioral Gerontology Through Expert Consensus, Alexandra Doran

Dissertations

Behavioral gerontology continues to evolve and grow as an application of behavior analysis, but there remains a critical need to define competencies necessary for behavior analysts to provide ethical, effective care within their scope of competence. This study sought to establish and validate foundational competencies for Board Certified Behavior Analyst s® (BCBA s® ) working in this area. A mixed-methods design using three experiments was used. In Experiment 1, a review of discipline-specific competency frameworks and a job mapping process yielded a preliminary set of behavior-analytic competencies for behavioral gerontology. This produced a preliminary framework consisting of 142 competencies. Experiment …

Bridging The Gap: Action-Oriented Vs. Community-Minded Mentalities And Behaviors In Cold Case Investigation Units, Samantha Strine

Dissertations

One key group in policing that has seen an increase in public and media attention but not research is the cold case investigation unit. These units tend to be more “bureaucratic”, focusing on communication, community-engagement skills, and “desk work”. Thus, this is a potential area for learning techniques and policies that shift the mentalities within police culture to be more accepting of new community focused policies. This study also seeks to address a gap in current research related to studying specialized police units.

The purpose of this study is to describe the organizational dynamics and officers’ tactics, perceptions, and interactions …

Efficient And Universal Watermarking For Llm-Generated Code Detection, Boquan Li, Zirui Fu, Mengdi Zhang, Peixin Zhang, Jun Sun, Xingmei Wang

Research Collection School Of Computing and Information Systems

Large language models (LLMs) have significantly enhanced the usability of AI-generated code, providing effective assistance to programmers. This advancement also raises ethical and legal concerns, such as academic dishonesty and the generation of malicious code. For accountability, it is imperative to detect whether a piece of code is AI-generated. Watermarking is broadly considered a promising solution and has been successfully applied to identify LLM-generated text. However, existing efforts on code are far from ideal, suffering from limited universality and excessive time and memory consumption. In this work, we propose a plugand- play watermarking approach for AI-generated code detection, named ACW …

Continuous Query For Top-K Maximal Sum Intervals Over Streaming Data, Zhongshuai Zhang, Xiaochun Yang, Baihua Zheng, Rui Zhu, Haomin Li, Bin Wang

Research Collection School Of Computing and Information Systems

The continuous identification of top-k maximal sum intervals using a sliding window over a data stream is a critical operation for applications in IoT and beyond. A maximal sum interval is a non-overlapping, contiguous subsequence with the maximal sum in a sequence of signed values. Existing algorithms are ill-suited for streaming contexts: they either exhaustively enumerate all intervals even for small k values, or depend on indexes that require frequent and costly restructuring. We propose a novel partition-based strategy. Our core insight is a partitioning scheme that guarantees that any maximal sum interval is fully contained within a single partition, …

Timeradar: A Domain-Rotatable Foundation Model For Time Series Anomaly Detection, Hui He, Hezhe Qiao, Yutong Chen, Kun Yi, Guansong Pang

Research Collection School Of Computing and Information Systems

Current time series foundation models (TSFMs) primarily focus on learning prevalent and regular patterns within a predefined time or frequency domain to enable supervised downstream tasks (\eg, forecasting). Consequently, they are often ineffective for inherently unsupervised downstream tasks—such as time series anomaly detection (TSAD), which aims to identify rare, irregular patterns. This limitation arises because such abnormal patterns can closely resemble the regular patterns when presented in the same time/frequency domain. To address this issue, we introduce TimeRadar, an innovative TSFM built in a fractional time–frequency domain to support generalist TSAD across diverse unseen datasets. Our key insight is that …