Digital Commons Network^™

The Spillover Effects Of Environmental Lawsuits On Industry Peers, Xia Chen, Qiang Cheng, Xuefan Peng, Ziliang Zhan

Research Collection School Of Accountancy

We examine the spillover effects of high-profile environmental lawsuits on industry peers. We find that compared with control firms, industry peers experience a decrease in chemical releases and an increase in pollution-related disclosures after the lawsuits. These results are more pronounced for the industry peers who have higher levels of chemical releases in the pre-lawsuit period and who are the peers of firms sued for damage to human health. Lastly, we provide confirmatory evidence that industry peers increase abatement activities after the lawsuits and experience a decline in financial performance, likely due to the increase in abatement costs.

Beyond The Disaster Zone: How Disruptive Climate Event Shape Epa Oversight And Firm Behavior, Grace Fan

Research Collection School Of Accountancy

We examine how experiences with disruptive climate events impact the Environmental Protection Agency’s (EPA) monitoring activities and subsequent firm behaviors. Using plausibly exogenous variation in the exposure of EPA regional offices to major hurricanes, we find that exposed EPA regulators increase their monitoring efforts, measured by both inspection frequency and length, at facilities located in their jurisdictions but outside the disaster zone. This effect diminishes over time and is stronger for regulators located closer to the disaster area or experiencing the disaster for the first time. Importantly, the heightened regulatory monitoring following disasters has real effects on regulated facilities–they face …

Interdisciplinary Research Among Tourism, Public Health, And Global Health: A Promising Stream Focusing On Populations With Suboptimal Health Status, Jun Wen, Fangli Hu, Danni Zheng, Haifeng Hou, Wei Wang

Research outputs 2022 to 2026

Research suggests that approximately 75% of the world's population suffers from suboptimal health status, meaning these individuals often feel unwell but have no clearly diagnosable conditions. Suboptimal health status, originating from traditional Chinese medicine, signifies an intermediate state between health and disease. Tourism has been deemed beneficial for personal health and general well-being. More recently, it has been proposed as a non-pharmacological intervention for individuals with dementia, given its potential contributions to health promotion and disease prevention/treatment. Yet, the tourism literature has paid scarce attention to populations with suboptimal health status, even as an aging society becomes inevitable. This paper …

Neurovig: Integrating Event Cameras For Resource-Efficient Video Grounding, Dulanga Weerakoon, Vigneshwaran Subbaraju, Joo Hwee Lim, Archan Misra

Research Collection School Of Computing and Information Systems

Spatio-Temporal Video Grounding (STVG) - the task of identifying the target object in the field-of-view that the language instruction refers to - is a fundamental vision-language task. Current STVG approaches typically utilize feeds from an RGB camera that is assumed to be always-on and process the video frames using complex neural network pipelines. As a result they often impose prohibitive system overheads (energy latency) on pervasive devices. To address this we propose NeuroViG with two key innovations: (a) leveraging on event streams from a low-power neuromorphic event camera sensor to perform selective triggering of the more energy-hungry RGB camera for …

Birdie: Natural Language-Driven Table Discovery Using Differentiable Search Index, Yuxiang Guo, Zhonghao Hu, Yuren Mao, Baihua Zheng, Yunjun Gao, Mingwei Zhou

Research Collection School Of Computing and Information Systems

Natural language (NL)-driven table discovery identifies relevant tables from large table repositories based on NL queries. While current deep-learning-based methods using the traditional dense vector search pipeline, i.e., representation-index-search, achieve remarkable accuracy, they face several limitations that impede further performance improvements: (i) the errors accumulated during the table representation and indexing phases affect the subsequent search accuracy; and (ii) insufficient query-table interaction hinders effective semantic alignment, impeding accuracy improvements. In this paper, we propose a novel framework Birdie, using a differentiate search index. It unifies the indexing and search into a single encoder-decoder language model, thus getting rid of error …

Ragg: Retrieval-Augmented Grasp Generation Model, Zhenhua Tang, Bin Zhu, Yanbin Hao, Chong-Wah Ngo, Richang Hong

Research Collection School Of Computing and Information Systems

Intent-based grasp generation inherently involves challenges such as manipulation ambiguity and modality gaps. To address these, we propose a novel Retrieval-Augmented Grasp Generation model (RAGG). Our key insight is that when humans manipulate new objects, they initially mimic the interaction patterns observed in similar objects, then progressively adjust hand-object contact. Consequently, we develop RAGG as a two-stage approach, encompassing retrieval-guided generation and structurally stable grasp refinement. In the first stage, we propose a Retrieval-Augmented Diffusion Model (ReDim), which identifies the most relevant interaction instance from a knowledge base to explicitly guide grasp generation, thereby mitigating ambiguity and bridging modality gaps …

Aligning Large Language Models For Faithful Integrity Against Opposing Argument, Yong Zhao, Yang Deng, See-Kiong Ng, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

Large Language Models (LLMs) have demonstrated impressive capabilities in complex reasoning tasks. However, they can be easily misled by unfaithful arguments during conversations, even when their original statements are correct. To this end, we investigate the problem of maintaining faithful integrity in LLMs. This involves ensuring that LLMs adhere to their faithful statements in the face of opposing arguments and are able to correct their incorrect statements when presented with faithful arguments. In this work, we propose a novel framework, named Alignment for Faithful Integrity with Confidence Estimation (AFICE), which aims to align the LLM responses with faithful integrity. Specifically, …

Offline Safe Reinforcement Learning Using Trajectory Classification, Ze Gong, Akshat Kumar, Pradeep Varakantham

Research Collection School Of Computing and Information Systems

Offline safe reinforcement learning (RL) has emerged as a promising approach for learning safe behaviors without engaging in risky online interactions with the environment. Most existing methods in offline safe RL rely on cost constraints at each time step (derived from global cost constraints) and this can result in either overly conservative policies or violation of safety constraints. In this paper, we propose to learn a policy that generates desirable trajectories and avoids undesirable trajectories. To be specific, we first partition the pre-collected dataset of state-action trajectories into desirable and undesirable subsets. Intuitively, the desirable set contains high reward and …

Personamagic: Stage-Regulated High-Fidelity Face Customization With Tandem Equilibrium, Xinzhe Li, Jiahui Zhan, Shengfeng He, Yangyang Xu, Junyu Dong, Huaidong Zhang, Yong Du

Research Collection School Of Computing and Information Systems

Personalized image generation has made significant strides in adapting content to novel concepts. However, a persistent challenge remains: balancing the accurate reconstruction of unseen concepts with the need for editability according to the prompt, especially when dealing with the complex nuances of facial features. In this study, we delve into the temporal dynamics of the text-to-image conditioning process, emphasizing the crucial role of stage partitioning in introducing new concepts. We present PersonaMagic, a stage-regulated generative technique designed for high-fidelity face customization. Using a simple MLP network, our method learns a series of embeddings within a specific timestep interval to capture …

Unlocking The Potential Of Black-Box Pre-Trained Gnns For Graph Few-Shot Learning, Qiannan Zhang, Shichao Pei, Yuan Fang, Xiangliang Zhang

Research Collection School Of Computing and Information Systems

Few-shot learning has emerged as an important problem on graphs to combat label scarcity, which can be approached by current trends in pre-trained graph neural networks (GNNs) and meta-learning. Recent efforts integrate both paradigms in a white-box setting, leaving the more realistic black-box setting largely underexplored, where the parameters and gradients in the pre-trained GNNs are inaccessible. In this paper, we study the critical problem: Leveraging black-box pre-trained GNNs for graph few-shot learning. Despite its appeal, two key issues hinder the unlocking of its potential: the inherent task gap between pre-training and downstream stages, which can introduce irrelevant knowledge and …

Retrieval Augmented Recipe Generation, Guoshan Liu, Hailong Yin, Bin Zhu, Jingjing Chen, Chong-Wah Ngo, Yu-Gang Jiang

Research Collection School Of Computing and Information Systems

The growing interest in generating recipes from food images has drawn substantial research attention in recent years. Existing works for recipe generation primarily utilize a two-stage training method—first predicting ingredients from a food image and then generating instructions from both the image and ingredients. Large Multi-modal Models (LMMs), which have achieved notable success across a variety of vision and language tasks, shed light on generating both ingredients and instructions directly from images. Nevertheless, LMMs still face the common issue of hallu- cinations during recipe generation, leading to suboptimal performance. To tackle this issue, we propose a retrieval augmented large multimodal …

Respear: Earable-Based Robust Respiratory Rate Monitoring, Yang Liu, Kayla-Jade Butkow, Jake Stuchbury-Wass, Adam Pullin, Dong Ma, Cecilia Masolo

Research Collection School Of Computing and Information Systems

Respiratory rate (RR) monitoring is integral to understanding physical and mental health and tracking fitness. Existing studies have demonstrated the feasibility of RR monitoring under specific user conditions (e.g., while remaining still, or while breathing heavily). Yet, performing accurate, continuous and non-obtrusive RR monitoring across diverse daily routines and activities remains challenging. In this work, we present RespEar, an earable-based system for robust RR monitoring. By leveraging the unique properties of in-ear microphones in earbuds, RespEar enables the use of Respiratory Sinus Arrhythmia (RSA) and Locomotor Respiratory Coupling (LRC), physiological couplings between cardiovascular activity, gait and respiration, to indirectly determine …

Mimic: Ai And Ar-Enhanced Multi-Modal, Immersive, Relative Instruction Comprehension, Dhanuja Wanniarachchi, Archan Misra

Research Collection School Of Computing and Information Systems

We present a multimodal instruction comprehension framework, called MImIC, that utilizes visual sensing (including LIDAR and 2D RGB sensing) & AI spatial reasoning capabilities to support more seamless and immersive interaction between humans and AI-driven situated assistive agents. MImIC's key new capability is to support disambiguation of a wider set of relative spatial references that users naturally employ while issuing spatially-situated instructions. To support enhanced visual grounding via a combination of both fully-qualified and relative attribute references, MImIC uses (a) a fine-tuned transformer-based language translation DNN to accurately convert natural verbal commands into a structured set of machine understandable constraints …

Explainable Neural Networks With Guarantee: A Sparse Estimation Approach, Antoine Ledent, Peng Liu

Research Collection School Of Computing and Information Systems

Balancing predictive power and interpretability has long been a challenging research area, particularly in powerful yet complex models like neural networks, where nonlinearity obstructs direct interpretation. This paper introduces a novel approach to constructing an explainable neural network that harmonizes predictiveness and explainability. Our model is designed as a linear combination of a sparse set of jointly learned features, each derived from a different trainable function applied to a single 1-dimensional input feature. Leveraging the ability to learn arbitrarily complex relationships, our neural network architecture enables automatic selection of a sparse set of important features, with the final prediction being …

Deputization And Privileged White Violence, Ekow N. Yankah

Articles

A number of high-profile and racially charged killings, such as Trayvon Martin’s, Kenneth Herring’s, Ahmaud Arbery’s, and Jordan Neely’s, have been at the hands of civilians declaring themselves the law. These deaths stemmed from a phenomenon best described as “deputization.” Deputization describes a latent legal power that has empowered White people throughout American history to claim authority to enforce the law, as they see it, upon racial minorities generally and Black people in particular. This power turned the ancient common law duty to police all felons in England into a specific American common law duty to police Blacks. From the …

Evaluating Dysphagia Duration And Severity After Acdf In Patients With Underlying Dysphagia - A Prospective, Multicenter Study, Aditya Mazmudar, Taylor Paziuk, Khoa Tran, Tyler Henry, Samuel Oh, Caroline Purtill, Daniel Habbal, Goutham Yalla, Quinlin Harrill, Brandon Sherrod, Erica Bisson, Darrel Brodke, Christopher Kepler, Gregory Schroeder, Alex Vaccaro, Alan Hilibrand, Jeffrey Rihn

Department of Orthopaedic Surgery Faculty Papers

STUDY DESIGN: Prospective Cohort Study.

OBJECTIVES: The purpose of this study was to prospectively evaluate the impact of preoperative dysphagia on the postoperative incidence and severity of dysphagia in patients undergoing ACDF at multiple institutions.

METHODS: After IRB approval, patients over 18 years of age who underwent an elective ACDF for degenerative conditions were prospectively enrolled at two academic centers from 2018 to 2021. Preoperative dysphagia was self-reported by patients through a pre-operative questionnaire on a binary basis. Patients completed dysphagia surveys (Bazaz, Dysphagia Short Questionnaire, 10-item Eating Assessment Tool) to assess dysphagia severity during their preoperative visit, and these …

Early Diet Liberalization After Anterior Lumbar Interbody Fusion Improves Postoperative Recovery, Tiffany Bridges, Matthew Meade, Parker L. Brush, Yunsoo Lee, Rajkishen Narayanan, Michael A. Mccurdy, Mark J. Lambrechts, Alex Charlton, Eleanor Jenkins, Robert Juniewicz, Henson Destine, I. David Kaye, Mark Kurd, Jose A. Canseco, Alan S. Hilibrand, Alex R. Vaccaro, Gregory D. Schroeder, Christopher K. Kepler

Department of Orthopaedic Surgery Faculty Papers

STUDY DESIGN: Retrospective Cohort Study.

OBJECTIVES: The objective of this study was to assess the impact of diet liberalization on short-term outcomes in patients undergoing anterior interbody lumbar fusion (ALIF).

METHODS: A retrospective review was performed for patients undergoing ALIF at our tertiary care center institution from 2010 to 2022. Electronic medical records were reviewed for demographics, surgical characteristics, and 90-day postoperative outcomes.

RESULTS: We included 515 patients in this study with 102 patients receiving a full diet on the same day as their operation. All other patients had a delay of at least 1 day (average 1.6 days) until …

An Update In Complication Rates Associated With Anterior Lumbar Surgery: A Systematic Review And Meta-Analysis, Tariq Z Issa, Teeto Ezeonu, Mason Sellig, Chester J Donnally, Rajkishen Narayanan, Brian A Karamian, Parthik D Patel, Srikanth N Divi, William A Robinson, Kartik Shenoy, Christopher K Kepler, Alexander R Vaccaro, Jose A Canseco

Department of Orthopaedic Surgery Faculty Papers

STUDY DESIGN: Systematic Review and meta-analysis.

OBJECTIVE: To conduct an updated systematic review and meta-analysis of complications associated with different anterior fusion techniques/approaches and adjuvant resources (i.e., computed tomography angiography (CTA), rhBMP-2, and access surgeons).

METHODS: A systematic review was conducted from 1/1/2014-4/1/2024 for studies evaluating the incidence of complications associated with anterior lumbar procedures. Comparisons of complications were made between surgical approach, use of CTA, rhBMP-2, and access surgeons. Meta-analyses were conducted using a generalized linear mixed model.

RESULTS: 54 studies were included in the final analysis with 8066 patients and an average follow-up of 31.2 months. The overall …

74/1 | Hellenistic Nysa-Scythopolis Stratigraphy And Architecture, Gabriel Mazor, Walid Atrash, Debora Sandhaus

IAA Reports—Monograph Series of the Israel Antiquities Authority

This is the fifth volume of publications of the Bet She’an Archaeological Project, describing the large-scale IAA excavations at the site of Bet She’an–ancient Nysa-Scythopolis, during 1986–2002. Bet She’an V: Hellenistic Nysa-Scythopolis is the second volume presenting the full excavation report of the IAA excavations at Tel Iẓṭabba, conducted between 1991 and 1994. The first volume in this series, Bet She’an IV (IAA Reports 62), focused on two corpora of finds: stamped amphora handles and sealings. The current volume, Bet She’an V, is comprised of two parts (IAA Reports 74/1, 74/2) dedicated to the stratigraphy, architecture and finds from the …

Chanticleer | March 2025, Jacksonville State University

Chanticleer

No abstract provided.

Increasing Inclusive Practices In An Elementary School Using Transcendental Phenomenology, Jenny C. Chiappe, Bryan E. Thornton, Mary A. Falvey

The Journal of Special Education Apprenticeship

This transcendental phenomenology study examined two schools, one comprehensive elementary school and one segregated special education center, as they transitioned to become one school to create more inclusive spaces for students with extensive support needs (i.e., intellectual and developmental disabilities). The transition occurred over a three-year period. The study used purposive sampling. Three general education and three special education teachers and the principal completed individual interviews during Year 3 of the transition. Classroom observations were conducted. The study used thematic analysis and revealed themes that described the school restructuring process: uncertainty during restructuring process; uncertainty around access based on students’ …

Late Cretaceous Ammonites And Other Non-Rudist Mollusks From Costa Rica And Their Paleoecology, Esteban David Lopez-Murillo

Earth and Planetary Sciences ETDs

The Nicoya region in northwestern Costa Rica contains a rich record of Upper Cretaceous fossiliferous sediments, which have received variable levels of study over the past several decades. In particular, rudists from these deposits have been well-characterized, however, the non-rudist ammonite, gastropod, and bivalve fauna have received much less attention. However, this area is particularly important because the Nicoya region was attached to the southernmost tip of North America, making it a unique crossroad between the western Tethys (Caribbean) and Pacific Oceans. Here I present a detailed investigation of these rocks and their fauna between the Late Campanian to Early …

Financial Hardship And Forum Selection Clauses, John F. Coyle

North Carolina Law Review

No abstract provided.

Strategy For Strategy’S Sake, Edith Beerdsen

North Carolina Law Review

No abstract provided.

Professional Identity In Nursing: A Narrative Review Of The Ispin Definition And Domains Usage, Sarah M. Geoghan Marold, Susan M. Strouse, Dan Butcher

Open Access Publishing Support Funded Articles

Introduction

Established in 2020, the International Society for Professional Identity in Nursing (ISPIN) developed a definition of professional identity in nursing (PIN). This definition encompasses four domains: values and ethics, knowledge, nurse as leader, and professional comportment.

Objective

This narrative review aimed to summarize and synthesize identified published evidence, the extent of discussion of PIN domains, and literature gaps for the ISPIN definition of PIN.

Methods

Sources included peer-reviewed literature published between 2018 to 2025 from CINAHL and PubMed. Gray literature through Google Scholar and ISPIN archived publications were also searched. These were identified by two researchers and a PRISMA …

Hester Lynch Piozzi (Mrs. Thrale) (1741-1821) An Annotated Bibliography Of Her Published Works Together With Biography, Criticism, And Appearances In Fiction (Third Edition), Lisa Berglund Ph.D.

English Department Faculty Publications

There is no such field as “Piozzi Studies”—at least, not yet. For 250 years, scholarship on Hester Lynch Piozzi (Mrs. Thrale) has been desultory at best and at worst non-existent. Scholars who first undertook to analyze her life or edit her works were generally interested only in her relations with Samuel Johnson and James Boswell. Once feminist scholars began to champion the Bluestocking Circle, of which Mrs. Thrale was a peripheral member, Piozzi’s life and writings came to be taken more seriously. A significant milestone was reached in 2021 with the conference Celebrating Hester Thrale Piozzi (1741–1821). Still, while …

Techne 2023-2024, Elena M’Bouroukounda, Jieun Yang

TECHNE

EDITOR’S NOTE. This second edition of TECHNE, following last year’s relaunch as an archive of student work, reflects a growing commitment to showcasing projects across all architectural sub-disciplines. In this edition, featuring work from the 2023-24 academic year, readers will find student-written explorations of architectural history—an opportunity to pause and reflect. We hope this publication serves as a catalyst for dialogue between past and present as students shape the built environment of the future. A deep understanding of where we come from will help guide the department’s trajectory as it engages with the world at large. This book remains an …

Design And Function Of Thermoresponsive-Ultrafast Stiffening Suspension Formulations For 3d Printing, Sharu Bhagavathi Kandy, Sebastian Remke, Thiyagarajan Ranganathan, Shubham Kiran Wani, Xiaodi Dai, Narayanan Neithalath, Aditya Kumar, Mathieu Bauchy, Edward Garboczi, Torben Gädt, Samanvaya Srivastava, Gaurav Sant

Materials Science and Engineering Faculty Research & Creative Works

An inability to accurately control the rate and extent of solidification of cementitious suspensions is a major impediment to creating geometrically complex structural shapes via 3D printing. In this work, we have developed a thermoresponsive rapid stiffening system that will stiffen suspensions of minerals such as quartz, limestone, portlandite, and Ordinary Portland Cement (OPC) over a wide pH range. When exposed to trigger temperatures between 40 °C and 70 °C, the polymer binder system undergoes a thermally triggered free radical polymerization (FRP) reaction, leading to an ultrafast stiffening of the suspension at an average rate on the order of 1 …

Phases And Phase Transitions Of The Disordered Quantum Clock Model, Pulloor Kuttanikkad Vishnu, Gaurav Khairnar, Rajesh Narayanan, Thomas Vojta

Physics Faculty Research & Creative Works

We study the phases and phase transitions of a disordered one-dimensional quantum q-state clock Hamiltonian using large-scale Monte Carlo simulations. Making contact with earlier results, we confirm that the clean, translational invariant version of the model, for q=6, hosts an intermediate emergent quasi-long-range ordered (QLRO) phase between the symmetry-broken true long-range ordered (TLRO) phase and the disordered (paramagnetic) phase. With increasing disorder strength, the quasi-long-range ordered phase shrinks and finally vanishes at a multicritical point, beyond which there is a direct transition from the TLRO phase to the paramagnetic phase. After establishing the phase diagram, we characterize the critical behaviors …

A Low-Carbon Approach For Lime Production Using Self-Propagating High Temperature Synthesis-Driven Limestone Calcination, Shubham Agrawal, Sayee Srikarah Volaity, Srinivas Kilambi, Aditya Kumar, Narayanan Neithalath

Materials Science and Engineering Faculty Research & Creative Works

Limestone calcination produces calcium oxide (or lime), that forms the basis for the manufacturing of many critical engineering materials such as cement and iron-and-steel. Limestone calcination—an endothermic reaction—is regarded as one of the most energy-and-CO₂ intensive industrial chemical reactions, and is facilitated by fossil fuels, since the high temperature requirement (∼900 °C) renders it less conducive to electrification through renewable energy sources. In this study, a novel, low-temperature (∼450 °C) pathway for ultrafast calcination of limestone using combustion synthesis or self-propagating high-temperature synthesis (SHS) is developed. SHS leverages exothermic heat from the combustion of lignin or biomass—as low-carbon fuels—mixed …