Digital Commons Network^™

Associative Coding Of Conditioned Fear In The Thalamic Nucleus Reuniens In Rodents And Humans, Tuğçe Tuna, Michael S Totty, Muhammad Badarnee, Flávio Afonso Gonçalves Mourão, Shaun Peters, Mohammad R Milad, Stephen Maren

Faculty, Staff and Student Publications

The nucleus reuniens (RE) is a midline thalamic structure interconnecting the medial prefrontal cortex (mPFC) and the hippocampus (HPC). Recent work in both rodents and humans implicates the RE in the adaptive regulation of emotional memories, including the suppression of learned fear. However, the neural correlates of aversive learning in the RE of rodents and humans remain unclear. To address this, we recorded RE activity in humans (BOLD fMRI) and rats (fiber photometry) during Pavlovian fear conditioning and extinction. In both rats and humans, we found that conditioned stimulus (CS)-evoked activity in RE reflects the associative value of the CS. …

Summit Max: A Randomized Trial Of The Super Large Bore Hipoint Reperfusion System Versus Vecta System For Aspiration Thrombectomy, Thanh N. Nguyen, Guilherme Dabus, Ben Mcguinness, James Caldwell, Ryan Priest, Ansaar T. Rai, Osama O. Zaidat, Bradley A. Gross, Ricardo Hanel, Ameer E. Hassan

School of Medicine Publications

Background: Rapid and complete recanalization is a primary goal in the endovascular treatment of large vessel occlusion stroke. The effectiveness and safety of super large bore aspiration catheters (0.088″ inner diameter) for the treatment of large vessel occlusion stroke have not been demonstrated in a randomized trial.

Methods: SUMMIT MAX (A Prospective, Randomized, Controlled, Interventional Clinical Trial to Evaluate the Safety and Effectiveness of the Route 92 Medical MonoPoint Reperfusion System for Aspiration Embolectomy in Acute Ischemic Stroke Patients) was a prospective, randomized, controlled, open-label clinical trial of patients with internal carotid artery and middle cerebral artery M1 occlusions, comparing …

Phase 1 Clinical Trial Of ¡Iniciando! La Adultez: A Culturally Tailored Intervention For Transitioning Latino Young Adults With Autism, Antonio F. Pagán, Ana Esparza, Ana C. Ramirez, Miriam Ortiz, Linda Hernandez, Mary Beth Morgan, Geohanna Noel, Alejandro L. Pagán, Jada Salas, Cecilia Montiel-Nava

Psychological Science Faculty Publications

This Phase 1 clinical trial evaluated ¡Iniciando! la Adultez, a culturally adapted intervention for Latino autistic young adults (n = 56) and their parents (n = 63). Young adults showed significant post-treatment improvements on measures of social responsiveness (SRS-2), adaptive behavior (ABAS-3), executive functioning (BRIEF-A), quality of life (WHOQOL-BREF), transition readiness (TRS-A), coping self-efficacy (CSES), and emotion regulation (DERS-SF). Parents reported significant improvements in their perceptions of their child’s social responsiveness, adaptive behavior, and executive functioning, as well as increased transition readiness ratings. Notably, parents evinced a significant decrease in acculturative stress (RASI) and depressive symptoms (PHQ-9), however, …

Enhancing Microgrid Protection Through Adaptive Decentralized Relay Coordination: A Solution To Blinding And Sympathetic Tripping, Sujatha Balasubramanian, J. Preetha Roselyn, Prabha Sundaravadivel

Electrical Engineering Faculty Publications and Presentations

Integrating Distributed Energy Resources into microgrids modifies the network’s system parameters and causes it to exhibit behaviour, particularly during fault conditions. This is due to the greater variations in current direction and magnitude. When a microgrid runs in autonomous mode, Distributed Generators result in a reduced short circuit current compared to a system working in grid-connected mode. Microgrid protection issues, namely, blinding of protection, sympathetic tripping, and bidirectional power flow, occur in the power network under such circumstances. The impact of microgrid protection issues and changes in fault current leads to variations of overcurrent relay settings, their operating time and …

The Silent Grief Of Grandmothers After An Out-Of-Order Death—An Interpretative Phenomenological Analysis, Jordan Robertson, Elizabeth Cutrer, Paul Caldarella, Jeremy B. Yorgason, Terrell Young, Erjola Gjini, Sarah Stuart, Savannah Tueller

Faculty Publications

This study delves into the lived experiences of grandmothers grappling with grief following the “out-of-order” death of a child, child-in-law, or grandchild, using an Interpretative Phenomenological Analysis grounded in the Dual Process Model-Revised. With 70% of U.S. adults over 65 being grandparents, the research highlights their often-invisible role as both grievers and caregivers amid family loss. Findings reveal three key themes: navigating personal grief, intergenerational support dynamics, and reconstructing family identity. Grandmothers oscillate between loss-oriented and restoration-oriented coping, with grief intensity varying by relational proximity—most profound when losing their own child. They provide emotional and practical support to surviving grandchildren, …

Squeezing Information From Radio Surveys To Probe The Primordial Universe, Dionysios Karagiannis, Roy Maartens, Shun Saito, José Fonseca, Stefano Camera, Chris Clarkson

Physics Faculty Research & Creative Works

A major goal of cosmology is to understand the nature of the field(s) which drove primordial Inflation. Through future observations, the statistics of large-scale structure will allow us to probe primordial non-Gaussianity of the curvature perturbation at the end of Inflation. We show how a new correlation statistic can significantly improve these constraints over conventional methods. Next-generation radio telescope arrays are under construction which will map the density field of neutral hydrogen to high redshifts. These telescopes can operate as an interferometer, able to probe small scales, or as a collection of single dishes, combining signals to map the large …

Modification Of Tini Alloy By Fast Pulse Laser Heat Treatment, Yitao Chen, Mohammad Masud Parvez, Frank Liou

Mechanical and Aerospace Engineering Faculty Research & Creative Works

In this study, the effects of local heat treatment with fast pulse laser on thin TiNi shape memory alloy strip materials were investigated. Various materials characterization methods including optical microscope, scanning electron microscope, atomic force microscope, X-ray diffraction, differential scanning calorimetry, and Vickers hardness were used to identify the differences of microstructure, mechanical properties, and functional properties between regions inside and outside the laser-scanned region. The tensile test was also conducted for both the non-laser-scanned specimen and the laser-scanned specimen. The area covered by laser scanning shows great differences by possessing a more homogeneous austenite phase without shear bands and …

Digital Twins, Ai, And Cybersecurity In Additive Manufacturing: A Comprehensive Review Of Current Trends And Challenges, Md Sazol Ahmmed, Laraib Khan, Muhammad Arif Mahmood, Frank Liou

Mechanical and Aerospace Engineering Faculty Research & Creative Works

The development of Industry 4.0 has accelerated the adoption of sophisticated technologies, including Digital Twins (DTs), Artificial Intelligence (AI), and cybersecurity, within Additive Manufacturing (AM). Enabling real-time monitoring, process optimization, predictive maintenance, and secure data management can redefine conventional manufacturing paradigms. Although their individual importance is increasing, a consistent understanding of how these technologies interact and collectively improve AM procedures is lacking. Focusing on the integration of digital twins (DTs), modular AI, and cybersecurity in AM, this review presents a comprehensive analysis of over 137 research publications from Scopus, Web of Science, Google Scholar, and ResearchGate. The publications are categorized …

Preface, Special Issue For The 16th International Conference On Graph Transformation (Icgt 2023), Maribel Fernández, Christopher M. Poskitt

Research Collection School Of Computing and Information Systems

This special issue contains six extended versions of papers presented at the 16th International Conference on Graph Transformation (ICGT 2023), held in Leicester, UK, on 19–20 July 2023. The conference was part of STAF 2023 (Software Technologies: Applications and Foundations) and was held under the auspices of the European Association for Theoretical Computer Science (EATCS), the European Association of Software Science and Technology (EASST), and the IFIP Working Group 1.3, Foundations of Systems Specification.

Evaluating And Mitigating Linguistic Discrimination In Large Language Models: Perspectives On Safety Equity And Knowledge Equity, Guoliang Dong, Haoyu Wang, Jun Sun, Xinyu Wang

Research Collection School Of Computing and Information Systems

By training on text in various languages, large language models (LLMs) typically possess multilingual support and demonstrate remarkable capabilities in solving tasks described in different languages. However, LLMs can exhibit linguistic discrimination due to the uneven distribution of training data across languages. That is, LLMs are hard to keep the consistency of responses when faced with the same task but depicted in different languages. In this study, we first explore the consistency in the LLMs’ outputs responding to queries in various languages from two aspects: safety and quality. We conduct this analysis with two datasets (AdvBench and NQ) based on …

Assessing The Robustness Of Test Selection Methods For Deep Neural Networks, Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Wei Ma, Mike Papadakis, Lei Ma, Yves Le Traon

Research Collection School Of Computing and Information Systems

Regularly testing deep learning-powered systems on newly collected data is critical to ensure their reliability, robustness, and efficacy in real-world applications. This process is demanding due to the significant time and human effort required for labeling new data. While test selection methods alleviate manual labor by labeling and evaluating only a subset of data while meeting testing criteria, we observe that such methods with reported promising results are simply evaluated, e.g., testing on original test data. The question arises: are they always reliable? In this article, we explore when and to what extent test selection methods fail. First, we identify …

Beware Of Your Po! Measuring And Mitigating Ai Safety Risks In Role-Play Fine-Tuning Of Llms, Weixiang Zhao, Yulin Hu, Yang Deng, Jiahe Guo, Xingyu Sui, Xinyang Han, An Zhang, Yanyan Zhao, Bing Qin, Tat-Seng Chua, Ting Liu

Research Collection School Of Computing and Information Systems

Although large language models (LLMs) store vast amount of knowledge in their parameters, they still have limitations in the memorization and utilization of certain knowledge, leading to undesired behaviors such as generating untruthful and inaccurate responses. This highlights the critical need to understand the knowledge boundary of LLMs, a concept that remains inadequately defined in existing research. In this survey, we propose a comprehensive definition of the LLM knowledge boundary and introduce a formalized taxonomy categorizing knowledge into four distinct types. Using this foundation, we systematically review the field through three key lenses: the motivation for studying LLM knowledge boundaries, …

Browsing Like Human: A Multimodal Web Agent With Experiential Fast-And-Slow Thinking, Haohao Luo, Jiayi Kuang, Wei Liu, Ying Shen, Jian Luan, Yang Deng

Research Collection School Of Computing and Information Systems

Automating web navigation which aims to build a web agent that follows user instructions to complete tasks like booking flights by interacting with websites, has received increasing attention due to its practical value. Although existing web agents are mostly equipped with visual perception, planning, and memory abilities, their reasoning process are still deviate from human cognition. In this work, we study the human thought pattern to empower agent with more human-like abilities in web navigation. To tackle this problem, we propose a novel multimodal web agent framework called WebExperT, which is designed to emulate the human planning process of “thinking …

Optimizing Group Utility In Itinerary Planning: A Strategic And Crowd-Aware Approach, Junhua Liu, Aldy Gunawan, Kristin L. Wood, Kwan Hui Lim

Research Collection School Of Computing and Information Systems

Itinerary recommendation is a complex sequence prediction problem with numerous practical applications. The task becomes significantly more challenging when optimizing multiple factors simultaneously, such as user queuing times, crowd levels, attraction popularity, walking durations, and operating hours. These factors, combined with the dynamic and unpredictable nature of visitor flow, introduce substantial complexities, particularly when accounting for collective user behavior. Existing solutions often adopt a single-user perspective, overlooking critical challenges arising from natural crowd dynamics. For example, the Selfish Routing problem illustrates how individual decision-making can lead to suboptimal outcomes for the group as a whole. To address these challenges, we …

Ai-Assisted Triage And Decision Support Of Head And Neck Cancer Screening And Diagnosis In Low-Resourced Settings, Min Hun Lee, Sean Shao Wei Lam, Shaun Xin Hong Liew, Michael Dorosan, Nicholas Graves, Jonas Karlström, Hiang Khoon Tan, Walter Tsong Lee

Research Collection School Of Computing and Information Systems

The mortality burden of head and neck cancer (HNC) is increasing globally and disproportionately affects people in low-and middle-income countries with limited medical workforce. To address this issue, artificial intelligence (AI) algorithms are increasingly being explored to process medical imaging data, demonstrating competitive performance. However, the clinical adoption of AI remains challenging as clinicians struggle to understand how complex AI works and trust it to use in practice. In addition, AI may not perform well on varying data qualities of endoscopy videos for HNC screening and diagnosis from multiple sites.In this project, our international and interdisciplinary team will collaborate with …

Advancing Molecular Graph-Text Pre-Training Via Fine-Grained Alignment, Yibo Li, Yuan Fang, Mengmei Zhang, Chuan Shi

Research Collection School Of Computing and Information Systems

Understanding molecular structure and related knowledge is crucialfor scientific research. Recent studies integrate molecular graphswith their textual descriptions to enhance molecular representationlearning. However, they focus on the whole molecular graph andneglect frequently occurring subgraphs, known as motifs, whichare essential for determining molecular properties. Without suchfine-grained knowledge, these models struggle to generalize to un-seen molecules and tasks that require motif-level insights. To bridgethis gap, we propose FineMolTex, a novel Fine-grained Moleculargraph-Text pre-training framework to jointly learn coarse-grainedmolecule-level knowledge and fine-grained motif-level knowledge.Specifically, FineMolTex consists of two pre-training tasks: a con-trastive alignment task for coarse-grained matching and a maskedmulti-modal modeling task for …

Sifar: A Simple Faster Accelerated Variance‑Reduced Gradient Method, Zhize Li

Research Collection School Of Computing and Information Systems

In this paper, we propose a simple faster accelerated gradient method called SIFAR for solving the finite-sum optimization problems. Concretely, we consider both general convex and strongly convex settings: i) For general convex finite-sum problems, SIFAR improves previous state-of-the-art result given by Varag. In particular, for large-scale problems or the convergence error is not very small, SIFAR obtains the first optimal result O(n), matching the lower bound. ii) For strongly convex finite-sum problems, we also show that SIFAR can achieve the optimal convergence rate matching the lower bound. Besides, SIFAR enjoys a simpler loopless algorithmic structure while previous algorithms use …

Zero-Shot Generalist Graph Anomaly Detection With Unified Neighborhood Prompts, Chaoxi Niu, Hezhe Qiao, Changlu Chen, Ling Chen, Guansong Pang

Research Collection School Of Computing and Information Systems

Graph anomaly detection (GAD), which aims to identify nodes in a graph that significantly deviate from normal patterns, plays a crucial role in broad application domains. However, existing GAD methods are one-model-for-one-dataset approaches, i.e., training a separate model for each graph dataset. This largely limits their applicability in real-world scenarios. To overcome this limitation, we propose a novel zero-shot generalist GAD approach UNPrompt that trains a one-for-all detection model, requiring the training of one GAD model on a single graph dataset and then effectively generalizing to detect anomalies in other graph datasets without any retraining or fine-tuning. The key insight …

Understanding The Role Of Sports Injury Management By Australian Osteopaths: A Cross Sectional Survey Of 992 Practitioners, Brett Vaughan, Jon Adams, Wenbo Peng, Lauren V. Fortington, Michael Fleischmann, Kylie Fitzgerald, Amie Steel, David Sibritt

Research outputs 2022 to 2026

Sport-related injuries are common presentations to primary care and hospital settings. Australian osteopaths practice mainly in private clinical settings in which the frequency of sport-related injury presentations, and how these injuries are managed, is unknown. The objective of the study was to describe the demographic, practice, and clinical management characteristics of Australian osteopaths who report often treating sport-related injuries. The study is a secondary analysis of data derived from the Australian osteopathy practice-based research network. Respondents indicated the frequency treating sports-related injuries in addition to other demographic, practice, and patient management characteristics. Backward logistic regression identified significant characteristics associated with …

The Employment Situation Of Veterans: August 2025, Institute For Veterans And Military Families At Syracuse University

Institute for Veterans and Military Families

The August 2025 Employment Situation Report highlights largely stable labor trends for veterans, with overall veteran unemployment rising slightly to 3.1 percent. Post‑9/11 veterans saw a small decline to 3.0 percent. Unemployment varied by age, with noticeable increases among veterans aged 18–24 and 35–44, while rates declined for those 55–64. Female veteran unemployment remained unchanged at 4.4 percent, and male veteran unemployment increased slightly to 2.9 percent. Across most demographic groups, veterans continued to experience lower unemployment rates than their nonveteran peers, though monthly fluctuations remained common.

Funds Of Knowledge And The Transition To School: A Scoping Review, Amelia Ruscoe, Leanne Lavina, Lennie Barblett, Fiona Boylan

Research outputs 2022 to 2026

Children's funds of knowledge (FoK) were recognised in the initial iteration of the Australian Early Years Learning Framework (EYLF) in 2009, the mandated framework for educator decision-making, and their significance was further emphasised in EYLF 2.0 in 2022. However, a unified understanding of children as knowledgeable individuals and how to effectively incorporate their diverse knowledges into early childhood education is still evolving. Recent evidence highlights the link between engaging with children's FoK and supporting successful transitions to formal schooling. Given that childhood is experienced differently across cultures and contexts, achieving consensus on the nature and value of FoK remains a …

Changing The Perceived Pain Intensity In Populations With Spinal Cord Injury And With Health Disparities (Happiness): Protocol For A Feasibility Study, Ann Van De Winckel, Lin Zhang, Leslie R. Morse, Brianna Woodliff, Gladys Maestre, Kelsey Baker

School of Medicine Publications

Background: Chronic neuropathic pain affects 69% of adults with spinal cord injury (SCI). Medication, as a primary treatment, has insufficient benefits and significant risks for addiction and adverse effects. Of the available mind and body approaches, Qigong is the most accessible for adults with SCI, with evidence for effectiveness in reducing pain. Still, there is insufficient evidence to make recommendations for adults with SCI. Thus, the feasibility of Qigong in SCI needs to be established. We previously demonstrated feasibility in a pilot study, in which 18 non-Hispanic White adults with SCI completed a 12-week remote Qigong program. However, three additional …

Does Teach Lead To More Teachers? Evaluating The Effects Of The Federal Teach Program, Daniel Sparks

Counseling, Leadership, and Research Methods Faculty Publications and Presentations

Teachers are critical to education production. Yet, recruiting and retaining teachers has remained challenging, particularly in high need fields, at schools serving a high proportion of students from low-income backgrounds, and from racially diverse backgrounds. To incentivize enrollment in teacher preparation programs and to support teacher candidates through degree completion, the federal government implemented the Teacher Education Assistance for College and Higher Education (TEACH) Grant in 2008. The TEACH Grant offers undergraduate and graduate students up to $16,000 and $8,000 in grant aid, respectively, to pursue degrees in high need teaching fields. I use difference-in-differences analyses to estimate the effects …

Short: Breaking The Charge: Exploiting State Manipulation In Ev Charging, Ce Zhou, Qiben Yan, Zhiyuan Yu, Eshan Dixit, Ning Zhang, Huacheng Zeng, Alireza Safdari Ghanhdari

Computer Science Faculty Research & Creative Works

Electric vehicles (EVs) have become one of the promising solutions to the ever-evolving environmental and energy crisis. The key to the wide adoption of EVs is a pervasive charging infrastructure, composed of both private/home chargers and public/commercial charging stations. However, the security of electric vehicle charging has not been thoroughly investigated. This paper investigates the communication mechanisms between the chargers and EVs and exposes the lack of protection for the authenticity in the SAE J1772 charging control protocol. To showcase our discoveries, we propose a new class of attacks, ChargeX, which aims to manipulate the charging states of EV chargers …

Visceral, Neural, And Immunotoxicity Of Per- And Polyfluoroalkyl Substances: A Mini Review, Pietro Martano, Samira Mahdi, Tong Zhou, Yasmin Barazandegan, Rebecca Iha, Hannah Do, Joel Burken, Paul Ki-Souk Nam, Qingbo Yang, Ruipu Mu

Chemistry Faculty Research & Creative Works

Per- and polyfluoroalkyl substances (PFASs) have gained significant attention due to their widespread distribution in the environment and potential adverse health effects. While ingestion, especially through contaminated drinking water, is considered the primary route of human exposure, recent research suggests that other pathways, such as inhalation and dermal absorption, also play a significant role. This review provides a concise overview of the toxicological impacts of both legacy and emerging PFASs, such as GenX and perfluoro butane sulfonic acid (PFBS), with a particular focus on their effects on the liver, kidneys, and immune and nervous systems, based on findings from recent …

Comparative Nitrene-Transfer Chemistry To Olefins Mediated By First-Row Transition Metal Catalysts Supported By A Pyridinophane Macrocycle With N4 Ligation, Himanshu Bhatia, Lillian P. Adams, Ingrid Cordsiemon, Suraj Kumar Sahoo, Amitava Choudhury, Thomas R. Cundari, Pericles Stavropoulos

Chemistry Faculty Research & Creative Works

A 12-membered pyridinophane scaffold containing two pyridine and two tertiary amine residues is examined as a prototype ligand (^tBuN4) for supporting nitrene transfer to olefins. The known [(^tBuN4)M^II(MeCN)2]²⁺ (M = Mn, Fe, Co, and Ni) and [(^tBuN4)Cu^I(MeCN)]⁺ cations are synthesized with the hexafluorophosphate counteranion. The aziridination of para-substituted styrenes with PhI=NTs (Ts = tosyl) in various solvents proved to be high yielding for the Cu(I) and Cu(II) reagents, in contrast to the modest efficacy of all other metals. For α-substituted styrenes, aziridination is accompanied by products of aziridine …

Teaching Transactional Skills And Lawyering Values To First-Year Students Through An Affordable-Housing Deal, Laura E. D'Amato

Faculty Scholarship

With the anticipated launch of the NextGen bar exam next year, transactional lawyering skills are enjoying increased attention in first-year law school curricular development. At the same time, recent amendments to ABA Rule 303 have made it essential for new law students to learn about the profession’s core values and responsibilities. While these evolving priorities open the door to pedagogical innovation, incorporating two distinct topics into an already packed curriculum can be challenging. This article explores how a simulated affordable-housing financing deal has served as a cohesive foundation for introducing first-year students to transactional skills and core professional values.

Work Impairment And Financial Outcomes Among Adults With Vs Without Long Covid, Michael Gottlieb, Ji Chen, Huihui Yu, Michelle Santangelo, Erica S. Spatz, Nicole L. Gentile, Rachel E. Geyer, Caitlin Malicki, Kristyn Gatling, Kelli N. O'Laughlin, Kari A. Stephens, Joann G. Elmore, Lauren E. Wisk, Michelle L'Hommedieu, Robert Rodriguez, Juan Carlos C. Montoy, Ralph C. Wang, Kristin L. Rising, Efrat Kean, Jonathan W. Dyal, Mandy J. Hill, Arjun K. Venkatesh, Robert A. Weinstein

Department of Emergency Medicine Faculty Papers

IMPORTANCE: While much of the focus on long COVID (LC; defined as developing new, persistent symptoms lasting 3 months or longer after SARS-CoV-2 infection) has been on health status and quality of life, the impact on individual work productivity and financial distress are less well established.

OBJECTIVES: To assess differences in work and financial outcomes among individuals with current, resolved, and no LC up to 3 years after initial infection.

DESIGN, SETTING, AND PARTICIPANTS: This prospective, multisite, longitudinal cohort study enrolled adult participants (age ≥18 years) with at least 1 reported SARS-CoV-2 infection from December 7, 2020, to August 29, …

Judicial Independence, The Separation Of Powers, And Criminal Investigations Of Judges, Benjamin Joshua Ong

Research Collection Yong Pung How School Of Law

In Haris Ibrahim [2023] 2 MLJ 296, the Federal Court of Malaysia discussed the legal limits to executive authorities’ powers to investigate judges on suspicion of crime. The case is a rare contribution to the jurisprudence on judges’ criminal liability at common law, as well as a case study in the challenges of reconciling judicial independence with other principles of the constitutional framework and other actors’ roles therein. The Court held that the implied constitutional principle of judicial independence requires that executive authorities follow a “set of protocols” (which the Court formulated) when investigating sitting judges. This was not wrong …

Ai In The Judiciary: The Singapore Case, Nydia Remolina Leon

Research Collection Yong Pung How School Of Law

This paper examines the integration of Artificial Intelligence (AI) within the judicial system of Singapore. Singapore's judiciary has embraced AI not as a tool for adjudication, but as an augmentative instrument for legal research, procedural efficiency, and access to justice. It provides a detailed account of AI use cases in the courts, including case summarization, evidence review, assistance for selfrepresented litigants, and tools like the Divorce Assets Informative Division Estimator. The discussion then turns to the legal profession, exploring how law firms in Singapore are adopting AI technologies. The paper also addresses how AI implementation in the judicial system is …