Digital Commons Network^™

Assessing Marpol Annex V Port Reception Facilities Of The National Port Of Liberia (Freeport Of Monrovia), Barbara Wade Cummings

World Maritime University Dissertations

No abstract provided.

Evaluating The Fisheries Observer Program Of Guyana’S Seabob Trawl Fishery : Insights Into Scientific Aspects And Onboard Working Conditions, Kadesha Shawyana Nedd

World Maritime University Dissertations

No abstract provided.

Living Shoreline Prioritization And Hydrodynamic Habitat Suitability Models For Restoration In The Indian River Lagoon And Lake Worth Lagoon, Florida, Kelly M. Kibler, Melinda J. Donnelly, Vincent Encomio, Madison Giuntoli, Manisha Thenuwara, Brice Bennett, Laura Andrade Barron, Mariam Sonbol, Wynter Raine Seppala, Namritha Ramakrishnan, Jennifer Jordan Báez, Beth Orlando, Irene Arpayoglou, Melissa Meisenburg

Indian River Lagoon Shorelines

The spatial dataset: UCF_shorelinemodel_IRL_LWL.shp, was created with support from the Indian River Lagoon National Estuaries Program and Florida Sea Grant. These projects cumulatively led to creation of a living shoreline restoration prioritization model and hydrodynamic habitat suitability models for 1,550 km (963 miles) of estuarine shorelines in Indian River Lagoon and Lake Worth Lagoon.

The dataset presented herein includes:

1. shoreline data from >15,000 transects collected in the field,
2. shoreline wave climate data created through hydrodynamic modeling and frequency analysis of historic data,
3. categorization of potential risk for shoreline boat wake impact,
4. persistence of seagrass within 210 m of the shoreline, …

Explainable Sentiment Analysis With Deepseek-R1: Performance, Efficiency, And Few-Shot Learning, Donghao Huang, Zhaoxia Wang

Research Collection School Of Computing and Information Systems

Large language models (LLMs) have transformed sentiment analysis, yet balancing accuracy, efficiency, and explainability remains a critical challenge. This study presents the first comprehensive evaluation of DeepSeek-R1—an open-source reasoning model—against OpenAI’s GPT-4o and GPT-4o-mini. We test the full 671B model and its distilled variants, systematically documenting few-shot learning curves. Our experiments show DeepSeek-R1 achieves a 91.39% F1 score on 5-class sentiment and 99.31% accuracy on binary tasks with just 5 shots, an eightfold improvement in few-shot efficiency over GPT-4o. Architecture-specific distillation effects emerge, where a 32B Qwen2.5-based model outperforms the 70B Llama-based variant by 6.69 percentage points. While its reasoning …

Does Generative Ai Facilitate Investor Trading? Early Evidence From Chatgpt Outages, Qiang Cheng, Pengkai Lin, Yue Zhao

Research Collection School Of Accountancy

In this paper, we use ChatGPT outages to provide early evidence on whether investors rely on generative artificial intelligence (GenAI) to perform professional tasks and the associated impact on stock price informativeness. We document a significant decline in stock trading volume during ChatGPT outages. The effect is stronger for firms with corporate news released immediately before or during the outages and for firms with higher ownership held by transient institutional investors. We then document declines in short-run price impact and return variance during the outage periods, consistent with reduced informed trading. Lastly, we document a positive effect of GenAI-assisted trading …

Chain Of Strategy Optimization Makes Large Language Models Better Emotional Supporter, Weixiang Zhao, Xingyu Sui, Xinyang Han, Yang Deng, Yulin Hu, Jiahe Guo, Libo Qin, Qianyun Du, Shijin Wang, Yanyan Zhao, Bing Qin, Ting Liu

Research Collection School Of Computing and Information Systems

The growing emotional stress in modern society has increased the demand for Emotional Support Conversations (ESC). While Large Language Models (LLMs) show promise for ESC, they face two key challenges: (1) low strategy selection accuracy, and (2) preference bias, limiting their adaptability to users’ emotional needs. Existing supervised fine-tuning (SFT) struggles to address these issues, as it rigidly trains models on single gold-standard responses without modeling nuanced strategy trade-offs. To overcome these limitations, we propose a novel two-stage framework that optimizes strategy selection preferences at each dialogue turn. We first leverage Monte Carlo Tree Search to construct ESC-Pro, a high-quality …

Security Modelling For Cyber-Physical Systems: A Systematic Literature Review, Shao Fei Huang, Christopher M. Poskitt, Lwin Khin Shar

Research Collection School Of Computing and Information Systems

Cyber-physical systems are at the intersection of digital technology and engineering domains, rendering them high-value targets of sophisticated and well-funded cybersecurity threat actors. Prominent cybersecurity attacks on CPS have brought attention to the vulnerability of these systems and the inherent weaknesses of critical infrastructure reliant on them. Security modelling for CPS is an important mechanism to systematically identify and assess vulnerabilities, threats, and risks throughout system life cycles, and to ultimately ensure system resilience, safety, and reliability. This survey delves into state-of-the-art research on CPS security modelling, encompassing both threat and attack modelling. While these terms are sometimes used interchangeably, …

Towards Goal-Oriented Intelligent Tutoring Systems In Online Education, Yang Deng, Zifeng Ren, An Zhang, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

Interactive Intelligent Tutoring Systems (ITSs) enhance the learning experience in online education byfostering effective learning through interactive problem-solving. However, many current ITS models do notfully incorporate proactive engagement strategies that optimize educational resources through thoughtfulplanning and assessment. In this work, we propose a novel and practical task of Goal-oriented IntelligentTutoring Systems (GITS), designed to help students achieve proficiency in specific concepts through a tailoredsequence of exercises and evaluations. We introduce a novel graph-based reinforcement learning framework,named Planning-Assessment-Interaction (PAI), to tackle the challenges of goal-oriented policy learningwithin GITS. This framework utilizes cognitive structure information to refine state representation andguide the selection …

Active Galactic Nuclie In Diverse Galactic Environments, Divya A. Patel

College of Arts & Sciences Senior Theses

We examine how the presence of active galactic nuclei (AGN) correlates with location in large-scale cosmic structures using the Galaxy and Mass Assembly (GAMA) survey across the G09, G12, and G15 fields. Our sample contains 18,927, 9,273, and 1,148 galaxies {with} highly dense filaments, moderately dense tendrils, and highly underdense voids, respectively. AGN galaxies were identified using Baldwin-Phillips-Telverich (BPT) diagnostic diagrams based on [NII], [SII], and [OI]. We compare AGN fractions in filament, tendril, and void regions, and as a function of distance from the nearest filament centerline. Our results reveal a mild excess in filament compared to void, when …

Code As Counselor: How Robo-Will Platforms Are Productizing Estate Planning Services, John Speirs

North Carolina Journal of Law & Technology

No abstract provided.

Consumers Stabilize Grassland Ecosystem Functions By Destabilizing Belowground Communities Under Abiotic Stress, Jane M. Lucas, Michelle L. Budny, Nathan P. Lemoine

Biological Sciences Faculty Research and Publications

Consumers play a critical role in mediating plant and ecosystem responses to abiotic stress, yet their influence on belowground processes under changing environmental conditions remains underexplored. Insect consumers are vital components of grassland ecosystems that can shape ecosystem function and stability by mitigating how plant and microbial communities respond to abiotic stress, like drought. This study investigates how small-bodied consumers influence the magnitude and stability of grassland belowground functions across gradients of abiotic stress. We conducted a fully factorial field experiment manipulating consumer presence and induced drought over a growing season. Our results reveal that the presence of consumers stabilizes …

A Revised Chronostratigraphy Of The Triassic-Jurassic Moenave Formation, Western Usa: Implications For Timing Of Continental Climate Change, Celina A. Suarez, Glenn R. Sharman, Jordan Oefinger, Asher Rea Boudreaux, Dennis Mmasa, James L. Crowley, Michael T. Mohr, Adam D. Marsh, Andrew R.C. Milner, Lisa E. Park Boush

Geosciences Faculty Publications and Presentations

The Moenave Formation of the Colorado Plateau region of western USA preserves the Triassic-Jurassic transition, a time period that saw one of the most significant climate disruptions in Earth's history. During this time, major carbon (C)-cycle perturbations due to carbon release from the emplacement of the Central Atlantic Magmatic Province (CAMP) caused rapid climate change prompting the end-Triassic mass extinction (ETE). Here we present a Bayesian agemodel generated from new C-isotope chemostratigraphic records paired with highprecision detrital zircon U-Pb geochronology to constrain the stratigraphic placement of the ETE and Triassic-Jurassic boundary within the Moenave Formation. Maximum depositional ages of detrital …

Energy-Harvesting Concurrent Lora Mesh With Timing Offsets For Underground Mine Emergency Communications, Hilary Kelechi Anabi, Samuel Frimpong, Sanjay Madria

Mining Engineering Faculty Research & Creative Works

Underground mine emergencies destroy communication infrastructure when situational awareness is most critical. Current systems rely on centralized network infrastructure, which fails during emergencies when miners are trapped and require rescue coordination. This paper proposes an energy-harvesting LoRa mesh network that addresses self-powered operation, interference management, and adaptive physical layer optimization under severe underground propagation conditions. A dual-antenna architecture separates RF energy harvesting (860 MHz) from LoRa communication (915 MHz), enabling continuous operation with supercapacitor storage. The core contribution is a decentralized scheduler that derives optimal timing offsets by modeling concurrent transmissions as a Poisson collision process, exploiting LoRa's capture effect …

Fisheries Science Update - Western Australian Shark Resource: 2024 Stock Assessment Outcomes, Department Of Primary Industries And Regional Development, Western Australia

Fisheries Science Updates

The Western Australian (WA) shark resource includes more than 100 species of sharks and rays.

Key shark species are sustainably harvested in two commercial shark fisheries that provide fresh, local, affordable seafood to the WA community.

The WA shark resource has been in recovery since the 1990s–2000s when stocks were found to be at risk.

The Department of Primary Industries and Regional Development (DPIRD) tracks stock status by undertaking periodic weight of evidence stock assessments of indicator species.

Gummy, whiskery, dusky whaler, and sandbar sharks, are the indicator species for the WA shark resource, and make up ~80% of the …

Resource Assessment Report No. 06: Western Rock Lobster Resource - 2025 Update Assessment, Simon De Lestang, Emma-Jade Tuffley

Resource Assessment Reports

Executive Summary

The western rock lobster (WRL) fishery is considered sustainable with catches being slightly below those associated with the maximum economic yield (MEY) proxy (39% harvest rate), which ensures the large lobster biomass and economical catch rates are maintained. The marine environment continues to be the biggest driver in stock dynamics with post larval recruitment (puerulus) and adult behaviour, including catchability, strongly influenced by oceanic conditions. Recent seasons have seen strong Leeuwin Currents and warm ocean conditions. Over the past few seasons, puerulus settlement levels have been below average at numerous locations and it has been almost 10 years …

Stable Isotope Paleoecology In The Bridgerian (Early Eocene): Investigation Of The Bridgerian Crash And The Canopy Effect, Aaron M. English

Department of Earth and Atmospheric Sciences: Dissertations, Theses, and Student Research

The Early Eocene Climatic Optimum (EECO) was the warmest sustained interval of the Cenozoic. Its waning stages coincided with a marked decline in mammalian biodiversity known as the Bridgerian Crash, which was likely driven by increasingly cooler and drier conditions. Paleobotanical evidence suggests the early Eocene supported wet, subtropical to tropical forests at mid-latitudes, however the structure of these forests at the close of the EECO remains poorly understood. In this study, I measure carbon isotope values (d¹³C_E) from the enamel of early Bridgerian (~52.2 – 48.3 Ma) herbivorous mammals from the Greater Green River …

Dance As A Vehicle For Cultural Identity And Reparative Justice, Tina M. Mullone

Bridgewater Review

No abstract provided.

Bridgewater Review Volume 43 Number 2 2025

Bridgewater Review

No abstract provided.

Championing Faculty Scholarship And Community: Writing Across The Curriculum (Wac) Summer Institute 2025, Jonathon Shirland, John Mulrooney, Elizabeth Veisz

Bridgewater Review

For one week in August, participants from academic departments across campus come together at the WAC Summer Institute to advance their own projects in a collegial environment of exchange, community, and mutual accountability. For eighteen years, WAC has played this vital role in supporting BSU faculty in their scholarly and creative endeavors. Small working groups facilitated by a WAC Coordinator commit to alternating focused periods of writing with peer review and discussion, with the aim of significantly advancing projects towards publication.

Advancing Transportation Decarbonization Through Electrification: Insights From Transit And Rideshare Scenarios, Ajay Ghimire

Theses (2016-Present)

The transportation sector remains a major source of criteria pollutants globally, with passenger vehicles contributing significantly to energy demand. While electric vehicles (EVs) offer a promising path toward energy efficiency, few studies have evaluated their impact at the metropolitan scale using integrated, high-fidelity modeling frameworks. This study investigates the energy implications of rideshare electrification in the Houston metropolitan area using a multi-stage simulation workflow. Travel demand is modeled using POLARIS, an agent-based, activity-based framework; vehicle trajectories are translated into second-by-second speed profiles using SVTrip; and energy consumption and criteria pollutant emissions are estimated using the Autonomie vehicle simulation platform. The …

Anti-Holistic Algorithms, Itay Ravid

Faculty Publications

This Article presents a critical tension in modern criminal justice between holistic criminal-justice aspirations and algorithmic governance: whether the holistic rehabilitation and reintegration project can survive technological determinism. As criminal legal systems embrace algorithmic risk- assessment tools as solutions to address recidivism, this Article reveals a profound epistemological concern: the fundamental incompatibility between viewing offenders as “whole persons” capable of transformation and reducing them to statistical probabilities within computational matrices. By doing so, it demonstrates how algorithmic mediation fundamentally alters—and potentially destroys—the holistic message itself.

In establishing this argument, the Article advances in two stages. It first identifies the development …

Poetry: "Heart's Delight" And "Hope", Ward Heilman

Bridgewater Review

No abstract provided.

User Experience Measurement In Design-Based Research On Online Educational Platforms: Contextualization Of Real-World Environments Within Sustainable Development Goals For Computational Thinking, Rasikh Tariq, María Soledad Ramírez-Montoya, Tabbi Wilberforce Awotwe, V. Fernández-Castro, M. Martínez-Reyes

Artículos científicos

The importance of User Experience Measurement allows understanding how experiences can be optimized to meet functional and emotional needs, complemented with Design-Based Research to scale the redesign of educational platforms, four online educational platforms presented are powered by Artificial Intelligence and educational data mining to offer a tailored learning experience, combining computational thinking with Sustainable Development Goals. We present the analysis of responses of 1,573 users, which yield elements of improvement that will be implemented in the redesign. To measure User Experience of the platform, a nonexperimental quantitative analysis was carried out, using a Feedback survey based on a Likert-scale …

Mechanisms Matter, Nicole L. Collins, Kenneth S. Campbell

Physiology Faculty Publications

No abstract provided.

Gerunds In Irish Sign Language: An Exploratory Analysis, Zaid Mohammed

Doctoral

In sign languages (SLs), e.g., American Sign Language (ASL), gerunds help express the meaning of ongoing actions and activities conveyed by verbs (Klima & Bellugi, 1979, p. 295). In spoken languages, a gerund is a form of the verb that functions as a noun and expresses the state of being or an ongoing action (Maekelberghe, 2020). Gerunds are complex constructions as they have nominal-verbal nature (Travis, 2005, p. 321) and morphological similarity with present participle or progressive aspect (Siegel, 1998). This research is motivated by the challenging nature of distinguishing gerund constructions at the morphological level, and research in sign …

‘Earth System Engineers’ And The Cumulative Impact Of Organisms In Deep Time, S. A. F. Darroch, M. M. Casey, A. T. Cribb, A. E. Bates, M. E. Clapham, D. L. Contreras, M. Craffey, I. A. P. Duijnstee, W. Gearty, N. J. Gotelli, M. J. Hamilton, R. F. Hayes, P. M. Hull, D. E. Ibarra, V. A. Korasidis, J. Lee, C. V. Looy, T. R. Lyson, B. Muddiman, P. D. Roopnarine, A. B. Shupinski, F. A. Smith, A. L. Stigall, C. P. Tomé, K. A. Turk, A. Villaseñor, P. J. Wagner, Steve C. Wang

Mathematics & Statistics Faculty Works

Understanding the role of humans as ‘ecosystem engineers’ requires a deep-time perspective rooted in evolutionary history and the fossil record. However, no conceptual framework exists for studying the rise of ecosystem engineering in deep time, requiring us to consider effects that fall outside the scope of traditional definitions. Here, we present a new framework applicable to both modern and ancient engineering-type effects. We propose a new term – ‘Earth system engineering’ – to describe biological processes that alter the structure and function of planetary spheres, and which combines core tenets of ecosystem engineering, niche construction, and legacy effects. We illustrate …

Is There Any Interactive Effect Between Competition And Risk Networks? Evidence From The Indian Banking System, Abhishek Poddar, Arun Misra

American Business Review

The study investigates the dynamics of interaction between bank competition and risk networks of the Indian banking system between 2010 to 2020. It has estimated bank competition using the Lerner Index through the translog cost function and bank risk using Z-Score. The study found that bank competition and risk networks are concentrated during the economic upcycle and dispersed during the downcycle. The article also found that big and profitable banks are the least competitive but riskier. The concentrated risk network structures reveal that systemic risk spillover is quite eminent in the Indian banking system. The distance-to-default model, panel vector autoregression …

Exploring Career Development Through Situated Learning Experiences Of Highly Skilled Business Postgraduate Migrants, Rasidat Adedayo Adeniji Oseni

Doctoral

This study investigates the career development journey of highly skilled Nigerian, Ghanaian, Kenyan and Tanzanian business postgraduate migrants in Ireland, focusing on the interplay among learning experiences, systemic barriers, and career shocks. Drawing on Social Cognitive Career Theory (SCCT), Situated Learning Theory (SLT), and Career Shock (CS), the study examines how self-efficacy develops through participation in Communities of Practice (CoPs) and how resilience enables skilled migrants to overcome shocks as they progress from education to employment in a Global South to Global North context. It further explores the transfer of knowledge acquired in Ireland to the migrants’ home countries. The …

Pesticides, Pollinators, And Producers: The Epa’S New Herbicide And Insecticide Strategies And Illinois Farmers, Jonathan Jerkatis

Northern Illinois University Law Review

The Environmental Protection Agency (EPA) has introduced new herbicide and insecticide strategies to comply with the Endangered Species Act (ESA), a move that will have significant implications for Illinois farmers and endangered species. Illinois, a leading producer of corn and soybeans, relies heavily on pesticides. Unfortunately, these chemicals have been identified as a key driver of monarch and other endangered species population decline. This note examines how the EPA’s new strategies aim to balance species protection with agricultural viability, addressing concerns over financial burdens of compliance, the complexity of the strategies, and a lack of enforcement provisions. While Illinois farmers …

A Systematic Review And Integrative Framework Of Psychotherapy Microprocess: Linking The Science Of Psychological Interventions With The Art Of Moment-To-Moment Practice, Xiaochen Luo, Alytia A. Levendosky

Counseling Psychology

Despite advancements in psychotherapy research on effectiveness and critical therapy processes, there remains a significant gap between the science and the art of psychotherapy, specifically on how to understand what to do moment-to-moment with each patient. A burgeoning research literature addresses this question by examining psychotherapy microprocesses, which typically referred to within-session changes of therapy processes, aiming to bridge psychotherapy research with clinical practice. In this pre-registered systematic review, we reviewed 86 empirical quantitative studies examining observational psychotherapy microprocesses over 35 years. We extracted 28 microprocess constructs across six categories (affective/emotional, behavioral, cognitive, relational/interpersonal, linguistic, and movement), four key methodological …