Digital Commons Network^™

Measuring The Impact Of Hurricane Incidence On Agricultural Production Risk Using Insurance Data, Hunter D. Biram, Micah Cameron-Harp, Jesse Tack

Agricultural Economics and Agribusiness Faculty Publications and Presentations

Hurricanes are considered among the most destructive natural disasters in the United States. The exposure of agricultural production systems to hurricanes varies between regions in contrast to global risks like commodity price volatility and international trade policies. The regional differences in hurricane exposure may lead to heterogeneity in crop insurance premium rates. This work aims to measure the impact of hurricane incidence on production losses for crops grown in the Mississippi Delta. We leverage a county-month panel of insurance losses spanning 2002-2021 from the US Department of Agriculture Risk Management Agency, and daily data from the National Oceanic and Atmospheric …

The Relationship Between Emotional Intelligence, School Culture, And School Leadership, Virginia Lorean Smith

Electronic Theses and Dissertations

Abstract

This study was a qualitative instrumental single holistic case study as outlined by Robert Stake in

1995. It focused on three research questions. The goal was to gain perspectives from teachers

and a principal on teacher retention and the culture of a campus. The emotional level of the

principal was evaluated on social awareness, self-awareness, relationship management, and self-

management by the principal taking part in an emotional intelligence assessment. The single

holistic case study approach was used, which had six phases of analyzing the data. The results

were then compared to the teachers’ interviews and surveys that were …

A Comprehensive Review Of Financial Knowledge Graphs, Jeyaraman Brindha Priyadarshini, Bing Tian Dai, Yuan Fang

Research Collection School Of Computing and Information Systems

Knowledge Graphs (KGs) are increasingly used in finance to manage complex, interconnected data and support advanced analytics. This survey provides an overview of how KGs are applied across various financial areas, such as fraud detection, credit risk assessment, anti-money laundering, and regulatory compliance. We examine key techniques for building and using KGs in finance, including graph construction, embedding methods, and machine learning models. The survey also discusses challenges specific to finance, like handling private data, ensuring interpretability, and managing real-time data. Additionally, we explore the emerging combination of KGs with large language models and generative AI, which offers new possibilities …

Lsfdnet: A Single-Stage Fusion And Detection Network For Ships Using Swir And Lwir, Yanyin Guo, Runxuan An, Junwei Li, Zhiyuan Zhang

Research Collection School Of Computing and Information Systems

Traditional ship detection methods primarily rely on single-modal approaches, such as visible or infrared images, which limit their application in complex scenarios involving varying lighting conditions and heavy fog. To address this issue, we explore the advantages of short-wave infrared (SWIR) and long-wave infrared (LWIR) in ship detection and propose a novel single-stage image fusion detection algorithm called LSFDNet. This algorithm leverages feature interaction between the image fusion and object detection subtask networks, achieving remarkable detection performance and generating visually impressive fused images. To further improve the saliency of objects in the fused images and improve the performance of the …

Parameter-Efficient Variational Autoencoder For Multimodal Multi-Interest Recommendation, Nhu Thuat Tran, Hady Wirawan Lauw

Research Collection School Of Computing and Information Systems

Learning user preferences in recommendation systems is enriched by multimodal features, such as textual and visual content, and amplified by multi-interest modeling with Variational AutoEncoders (VAEs). However, prior efforts are limited by single modality focus and cumbersome, parameter-heavy architecture designs. To address these limitations, we introduce an innovative solution that blends the semantic richness of multimodal data with the representational power of multi-representation VAEs. Drawing inspiration from Mixture of Experts (MoE), we cast each VAE as an expert tailored to a specific modality, then fuse them via a novel parameter-merging function into a lean, unified model. This approach efficiently captures …

Search Trajectory Network-Enhanced Multi-Objective Dynamic Algorithm Configuration, Robbert Reijnen, Zaharah Bukhsh, Hoong Chuin Lau, Yaoxin Wu, Yingqian Zhang

Research Collection School Of Computing and Information Systems

Deep reinforcement learning (DRL) has emerged as an effective technique for dynamic algorithm configuration, particularly in evolutionary computation, enabling adaptive parameter updates during algorithmic execution. DRL-based methods have shown broad applicability across different problem domains and are designed to configure algorithms without problem-specific information, making them highly transferable across problem variants and scalable to different problem sizes. This paper proposes a novel graph neural network-based approach that learns representations of Search Trajectory Networks (STNs) to track the convergence behavior of multiple objectives and dynamically reconfigures multiobjective evolutionary algorithms during execution. By capturing how solutions evolve and interact over time, the …

Lightweight Population-Based Policy Optimization For Pickup And Delivery Problems, Yizhou Liu, Li Li, Yixin Xu, Tang Liu, Rong Cheng, Die Wu, Jilin Yang, Jingwen Li

Research Collection School Of Computing and Information Systems

In recent years, applying deep models to automatically learn construction heuristics for vehicle routing problems has achieved remarkable advancements. However, they are less effective in searching solutions due to two primary limitations: relying on deterministic probability distributions and overlooking the strategic advantage of prioritizing nearby unvisited nodes during the route construction process, resulting in suboptimal policies In this paper, we propose a novel lightweight population-based policy optimization (LPPO) framework that learns a diverse population of solution strategies through the utilization of innovative perturbation factors, in order to facilitate search exploration. Moreover, we design a localized attention synthesis (LAS) network to …

Co2-Induced Changes In Rheology, Structural Evolution, And Particle Characteristics Of Cement Paste, Seongho Han, Tae Yong Shin, Seung Mo Kim, Jae Hong Kim, Kamal H. Khayat

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The injection of carbon dioxide (CO₂) into cementitious systems has emerged as a promising approach to enhancing sustainability in concrete production. This study explores the impact of CO₂ injection on the rheological behavior, structural build-up, and particle size evolution of cement paste by systematically varying the water-to-cement ratio (w/c) (0.35, 0.4, and 0.5) and CO₂ concentration (0.06, 0.28, and 0.84 mol). Rheological analysis revealed a significant increase in initial yield stress with CO₂ injection. Using the Modified Bingham model, yield stress increased by 72 % and 150 % for 0.28- and 0.84-mol CO₂, …

Laboratory Investigation Of High-Temperature Preformed Particle Gels For Fluid Control In Granite Cores For Geothermal Applications, K. Caleb Darko, Yanbo Liu, Thomas P. Schuman, Mingzhen Wei, Baojun Bai

Chemistry Faculty Research & Creative Works

To understand the applicability of high-temperature preformed particle gel (HT-PPG) for control of short-circuiting in enhanced geothermal systems (EGSs), core flooding experiments were conducted on fractured granite cores under varying fracture widths, gel particle sizes and swelling ratios. Key parameters such as injection pressure, water breakthrough pressure, and residual resistance factor were measured to evaluate HT-PPG performance. The gel exhibited strong injectability, entering granite fractures at pressure gradients as low as 0.656 MPa/m; HT-PPG yields a superior sealing performance by significantly reducing the permeability; and dehydration occurs during HT-PPG propagation, with a dehydration ratio ranging from 4.71% to 11.36%. This …

Contrastrepair: Enhancing Conversation-Based Automated Program Repair Via Contrastive Test Case Pairs, Jiaolong Kong, Xiaofei Xie, Mingfei Cheng, Shangqing Liu, Xiaoning Du, Qi Guo

Research Collection School Of Computing and Information Systems

Automated Program Repair (APR) aims to automatically generate patches for rectifying software bugs. Recentstrides in Large Language Models (LLM), such as ChatGPT, have yielded encouraging outcomes in APR,especially within the conversation-driven APR framework. Nevertheless, the efficacy of conversation-drivenAPR is contingent on the quality of the feedback information. In this article, we propose ContrastRepair, anovel conversation-based APR approach that augments conversation-driven APR by providing LLMs withcontrastive test pairs. A test pair consists of a failing test and a passing test, which offer contrastive feedback tothe LLM. Our key insight is to minimize the difference between the generated passing test and the …

Morphology-Aware Hrv Estimation From Wrist Ppg In Sedentary Scenarios, Changshuo Hu, Hung Manh Pham, Dong Ma

Research Collection School Of Computing and Information Systems

Photoplethysmography (PPG) is widely used in wearable devices for non-invasive heart rate variability (HRV) monitoring. While most prior work focuses on mitigating motion artifacts, recent studies highlight that even subtle contact pressure variations can distort waveform morphology and lead to inaccurate HRV estimates. In this work, we propose a morphology-aware deep learning framework that conditions HRV estimation on beat-level waveform types. Our model jointly encodes the raw PPG waveform and a sequence of pressure-induced morphology labels using parallel encoders, integrates them via cross-attention, and predicts normal-to-normal (NN) intervals and beat count to support downstream HRV computation. Evaluated on the public …

Polyqent: A Polynomial Quantified Entailment Solver, Krishnendu Chatterjee, Amir Kafshdar Goharshady, Ehsan Kafshdar Goharshady, Mehrdad Karrabi, Milad Saadat, Maximilian Seeliger, Dorde Zikelic

Research Collection School Of Computing and Information Systems

Polynomial quantified entailments with existentially and universally quantified variables arise in many problems of verification and program analysis. We present PolyQEnt which is a tool for solving polynomial quantified entailments in which variables on both sides of the implication are real valued or unbounded integers. Our tool provides a unified framework for polynomial quantified entailment problems that arise in several papers in the literature. Our experimental evaluation over a wide range of benchmarks shows the applicability of the tool as well as its benefits as opposed to simply using existing SMT solvers to solve such constraints.

Fall 2025, John M. Pfau Library

Peacock – John M. Pfau Library Newsletter

In this Issue:

• From Tokyo to California pgs. 1 & 2
• Congratulations, Dr. Higgins! p. 2
• More Than 100,000 Streaming Videos p. 2
• CSUSB Libraries Launch Digital Exhibits pgs. 3 & 4
• Guest Speaker Author of Banned Graphic Novel p. 4
• The Thesis Digitization Project is Complete! p. 5
• Chess Club Tournament pgs. 6 & 7
• Banned Books in Library History p. 7
• New Databases pgs. 8 & 9
• Classifieds With Books p. 9

Ready For A Theology Of The Mind? Faith Response To The Mental Health Crisis, Ramil R. Marcos, Phil Nielsen G. Galvez

Loyola Papers

This article argues for the urgent development of a “theology of the mind” as a pastoral and theological response to the growing mental health crisis in the Philippines. This timely study highlights the systemic problems surrounding this important concern, such as limited access to professional help, cultural stigma, poverty, and inadequate government facilities. The paper draws from Scripture, Church teaching, papal pronouncements, and local initiatives to show that mental health struggles are not alien to Christian life but resonate deeply with biblical figures, the life of Christ, and the Church’s mission of compassion. Among its unique contributions is the proposal …

Progress In Progressive Pulmonary Fibrosis, Jesse Roman

Rothman Institute Papers

No abstract provided.

Fall 2025: Antimatter

The Weldon Times

A student-run publication from the Schulich School of Law at Dalhousie University.

Co-Editors in Chief: Kimberly Gilson, Carleigh MacKenzie

Control And Cuckoldry In “Calypso” And “Circe”, Corinne Lafont , '26

Senior Theses, Projects, and Awards

Sex, femininity, and dirt in James Joyce’s Ulysses form what Julie Kristeva calls “abjection.” The abject is "the border where exact limits between same and other, subject and object, and even beyond these, between inside and outside, and disappearing—hence an Object of fear and fascination,” (Kristeva 1980, 185) evident by Leopold Bloom’s identity as a cuckold. Alternately approached with loss, disconnection, and anxiety, the text reveals that Leopold Bloom craves his abject to distance himself from physical and emotional rejection. “Calypso” establishes how his abject operates as a defense mechanism to self-defile before others can approach any realized sexual bond. …

Fcrh Honors Program: Fall 2025 Program Highlights, Fcrh Honors Program

FCRH Honors Program Newsletters and Reports

No abstract provided.

¿Soy Bilingüe? ¡Soy Bilingüe!: How Bilingual Proficiency Influences Code Switching, Natalie S. Cortez , '26

Senior Theses, Projects, and Awards

No abstract provided.

Topical Themes And Sentiment Analysis Of Social Media Posts Surrounding Book Bans During Banned Books Week 2024-2025, Jin-A Choi, Lauren Nicosia, Bond Benton, Yi Lou

College of Communication and Media Scholarship and Creative Works

Every year, the American Library Association (ALA sponsors “Banned Books Week” as an opportunity to celebrate free expression and open access to information. In articulating the importance of the event, the ALA states the following:

Banned Books Week was launched in 1982 in response to a sudden surge in the number of challenges to books in libraries, bookstores, and schools. Held in the last week of September or first week of October, the annual event highlights the value of free and open access to information and brings together the entire book community — librarians, educators, authors, publishers, booksellers, and readers …

Breastfeeding In Indonesia On The Rise, But Mothers Need More Support

Saudi Medical Journal

No abstract provided.

Pleasure & Pain In Intellectual Property, Andrew Gilden

William & Mary Law Review

Intellectual property produces pleasure. IP laws incentivize investment in popular culture, helping to ensure the viability of entertainment industries and the steady production of our favorite shows, cherished brands, and beloved celebrities. Across IP-heavy industries, creators cite the joy of writing, composing, coding, and experimenting as a motivation for countless hours in the office, studio, or lab. Nonetheless, in a broad range of settings, and across several areas of IP, courts have responded with hostility to personal accounts of pleasure in IP disputes. When a defendant admits to using IP because they are fans of the plaintiff, or because they …

Venezuelan Migrants In Prostitution: A Personal Decision?, Yazmin Maria Lucila Cadena Camargo, Izara Maite Mondragon Moreno, Isabela Osorio Jaramillo, Paula Angélica Suárez Álvarez, Andrés Duarte Osorio, Carlos Gómez-Restrepo

Dignity: A Journal of Analysis of Exploitation and Violence

This paper explores the multifaceted experiences of Venezuelan migrant women engaged in prostitution, framed through three critical moments: the “decision to enter in prostitution,” the unique abuses faced, and the resultant consequences on mental, physical, and social health. The study highlights how socioeconomic vulnerabilities—exacerbated by migration and poverty—significantly influence the likelihood of entering prostitution. It also shows how traumatic experiences, particularly in childhood and adolescence, coupled with a lack of support networks, contribute to a heightened risk of exploitation. Eleven life stories were collected through a phenomenological approach, revealing a common narrative of abuse, poverty, and the search for survival …

Adipose Tissue Estrogen Receptor-Alpha Overexpression Ameliorates High-Fat Diet–Induced Adipose Tissue Inflammation, Marion C. Hope, Christian A. Unger, M Chase Kettering, Cassidy E. Socia, Ahmed K. Aladhami, Barton C. Rice, Darya S. Niamira, Ben P. Wiznitzer, Diego Altomare Ph.D., William E. Cotham, Reilly T. Enos

Faculty Publications

Context

We created an innovative mouse model that enables inducible overexpression of estrogen receptor-alpha (ERα), specifically in adipose tissue (Adipo-ERα↑). Objective

We aimed to investigate how elevated Adipo-ERα↑ influences the development of high-fat diet (HFD)-induced obesity in both male and female mice. Methods

Male and female Adipo-ERα↑ mice and littermate controls were fed a low-fat diet (LFD) or HFD for 13 weeks. Adipo-ERα↑ was induced at the initiation of dietary treatment. Body morphology and composition, hepatic lipid accumulation, glucose tolerance, fasting insulin concentrations, and adipose tissue mRNA profiling were assessed. Liquid chromatography–mass spectrometry was used to determine circulating and adipose …

Covering The Care: Hospital Consolidations Lead To Higher Healthcare Costs, Kimberly Persson, Deborah Fournier

All Materials

No abstract provided.

Effects Of Group Socialization Programming On Pain, Social Isolation And Loneliness In Rheumatoid Arthritis, Tina Zheng

Occupational Therapy Student Scholarship

Capstone poster presentation from the The Minute Thesis Competition on Binghamton University Campus.

Sensory Processing Education For Substance Use Prevention, Brenna Destefano

Occupational Therapy Student Scholarship

Capstone poster presentation from the The Minute Thesis Competition on Binghamton University Campus.

2025 (Fall) Ensi Informer Magazine, Morehead State University. Engineering Sciences Department

ENSI Informer Magazine Archive

The ENSI Informer Magazine published in the fall of 2025.

The Rash After The Remedy, Elaine Chen, Nicholas Nelson

Abstracts, Posters, Presentations

No abstract provided.

Teachers' Competence In Teaching Twice- Exceptional Students In The Sultanate Of Oman, Ahmad “Mohammad Jalal” Al-Fawair

Journal of Educational and Psychological Studies

The current study aimed to determine the level of teachers’ competence in teaching twice-exceptional students in the Sultanate of Oman. To achieve this aim, a Teachers’ Competence Scale for Teaching Twice-Exceptional Students was developed. The study sample included (150) teachers who teach twice-exceptional students. Results revealed that the overall level of teachers’ competence in teaching twice-exceptional students in Sultanate of Oman was moderate, as well as in the dimensions of collaboration and teaching strategies, while it was low in the dimensions of interaction and classroom management. Results also indicated that gender had no significant effect on teachers’ competence levels neither …