Digital Commons Network^™

Leakage-Resilient Easily Deployable And Efficiently Searchable Encryption (Edese), Jiaming Yuan, Yingjiu Li, Jun Li, Daoyuan Wu, Jianting Ning, Yangguang Tian, Robert H. Deng

Research Collection School Of Computing and Information Systems

Easily Deployable and Efficiently Searchable Encryption (EDESE) is a cryptographic primitive designed for practical searchable applications, offering efficient search and easy deployment. However, it remains vulnerable to Leakage-Abuse attacks, allowing adversaries to exploit keyword-matching processes to extract sensitive information. To address these vulnerabilities, we introduce Leakage-Resilient EDESE (LR-EDESE) with k-indistinguishability and controlled leakage functions. We then propose Volume Leakage-Resilient EDESE (VLR-EDESE), a new scheme to protect against both query and document volume leakage. Our experimental results demonstrate that at k = 5000 (maximum security setting), VLR-EDESE incurs an overhead of 63× compared to the baseline EDESE without leakage protection, outperforming …

Llm-Based Multi-Agent Systems For Software Engineering: Literature Review, Vision And The Road Ahead, Junda He, Christoph Treude, David Lo

Research Collection School Of Computing and Information Systems

Integrating Large Language Models (LLMs) into autonomous agents marks a significant shift in the research landscape by offering cognitive abilities that are competitive with human planning and reasoning. This paper explores the transformative potential of integrating Large Language Models into Multi-Agent (LMA) systems for addressing complex challenges in software engineering (SE). By leveraging the collaborative and specialized abilities of multiple agents, LMA systems enable autonomous problem-solving, improve robustness, and provide scalable solutions for managing the complexity of real-world software projects. In this paper, we conduct a systematic review of recent primary studies to map the current landscape of LMA applications …

Surrogate Learning In Meta-Black-Box Optimization: A Preliminary Study, Zeyuan Ma, Zhiyang Huang, Jiacheng Chen, Zhiguang Cao, Yue-Jiao Gong

Research Collection School Of Computing and Information Systems

Recent Meta-Black-Box Optimization (MetaBBO) approaches have shown possibility of enhancing the optimization performance through learning meta-level policies to dynamically configure low-level optimizers. However, existing MetaBBO approaches potentially consume massive function evaluations to train their meta-level policies. Inspired by the recent trend of using surrogate models for cost-friendly evaluation of expensive optimization problems, in this paper, we propose a novel MetaBBO framework which combines surrogate learning process and reinforcement learning-aided Differential Evolution algorithm, namely Surr-RLDE, to address the intensive function evaluation in MetaBBO. Surr-RLDE comprises two learning stages: surrogate learning and policy learning. In surrogate learning, we train a Kolmogorov-Arnold Networks …

Collaboration With Dynamic Open Ad Hoc Team Via Team State Modelling, Jing Sun, Cong Zhang, Zhiguang Cao

Research Collection School Of Computing and Information Systems

Open ad hoc teamwork presents the challenging problem of designing an autonomous agent that can rapidly adapt to collaborate with teammates without prior coordination in an open environment. Existing methods primarily rely on fixed, predefined teammate types, overlooking the fact that teammates may change dynamically. To address this limitation, we propose a novel reinforcement learning approach, the Open Online Teammate Adaptation Framework (Open-OTAF), which enables a controlled agent to collaborate with dynamic teammates in open ad hoc environments. To achieve this, the controlled agent employs a dual teamwork situation inference model to capture the current teamwork state, facilitating decision-making under …

A Mixed-Curvature Based Pre-Training Paradigm For Multi-Task Vehicle Routing Solver, Suyu Liu, Zhiguang Cao, Shanshan Feng, Yew-Soon Ong

Research Collection School Of Computing and Information Systems

Solving various types of vehicle routing problems (VRPs) using a unified neural solver has garnered significant attentions in recent years. Despite their effectiveness, existing neural multi-task solvers often fail to account for the geometric structures inherent in different tasks, which may result in suboptimal performance. To address this limitation, we propose a curvature-aware pre-training framework. Specifically, we leverage mixed-curvature spaces during the feature fusion stage, encouraging the model to capture the underlying geometric properties of each instance. Through extensive experiments, we evaluate the proposed pre-training strategy on existing neural multi-task solvers across a variety of testing scenarios. The results demonstrate …

Shield: Multi-Task Multi-Distribution Vehicle Routing Solver With Sparsity And Hierarchy, Yong Liang Goh, Zhiguang Cao, Yining Ma, Jianan Zhou, Mohammed Haroon Dupty, Wee Sun Lee

Research Collection School Of Computing and Information Systems

Recent advances toward foundation models for routing problems have shown great potential of a unified deep model for various VRP variants. However, they overlook the complex real-world customer distributions. In this work, we advance the Multi-Task VRP (MTVRP) setting to the more realistic yet challenging Multi-Task Multi-Distribution VRP (MTMDVRP) setting, and introduce SHIELD, a novel model that leverages both sparsity and hierarchy principles. Building on a deeper decoder architecture, we first incorporate the Mixture-of-Depths (MoD) technique to enforce sparsity. This improves both efficiency and generalization by allowing the model to dynamically select nodes to use or skip each decoder layer, …

Ts-Diff: Two-Stage Diffusion Model For Low-Light Raw Image Enhancement, Yi Li, Zhiyuan Zhang, Jiangnan Xia, Jianghan Cheng, Qilong Wu, Junwei Li

Research Collection School Of Computing and Information Systems

This paper presents a novel Two-Stage Diffusion Model (TS-Diff) for enhancing extremely low-light RAW images. In the pre-training stage, TS-Diff synthesizes noisy images by constructing multiple virtual cameras based on a noise space. Camera Feature Integration (CFI) modules are then designed to enable the model to learn generalizable features across diverse virtual cameras. During the aligning stage, CFIs are averaged to create a target-specific CFIT, which is fine-tuned using a small amount of real RAW data to adapt to the noise characteristics of specific cameras. A structural reparameterization technique further simplifies CFIT for efficient deployment. To address color shifts during …

Sparse-To-Dense: A Free Lunch For Lossless Acceleration Of Video Understanding In Llms, Xuan Zhang, Cunxiao Du, Sicheng Yu, Jiawei Wu, Fengzhuo Zhang, Wei Gao, Qian Liu

Research Collection School Of Computing and Information Systems

Due to the auto-regressive nature of current video large language models (Video-LLMs), the inference latency increases as the input sequence length grows, posing challenges for the efficient processing of video sequences that are usually very long. We observe that during decoding, the attention scores of most tokens in Video-LLMs tend to be sparse and concentrated, with only certain tokens requiring comprehensive full attention. Based on this insight, we introduce Sparse-to-Dense (StD), a novel decoding strategy that integrates two distinct modules: one leveraging sparse top-K attention and the other employing dense full attention. These modules collaborate to accelerate Video-LLMs without loss. …

Rustmap: Towards Project-Scale C-To-Rust Migration Via Program Analysis And Llm, Xuemeng Cai, Jiakun Liu, Xiping Huang, Yijun Yu, Haitao Wu, Chunmiao Li, Bo Wang, Imam Nur Bani Yusuf, Lingxiao Jiang

Research Collection School Of Computing and Information Systems

Migrating existing C programs into Rust is increasingly desired, as Rust offers superior memory safety while maintaining C’s high performance. Existing automated translation tools, such as C2Rust, may rely too much on syntactic, template-based translation and generate unsafe Rust code that is hard for human developers to read, maintain, or even compile. More semantic-aware translation that produces safer, idiomatic, and runnable Rust code is much needed. This paper introduces a novel dependency-guided and large language model (LLM)-based C-to-Rust translation approach, RustMap, based on three key ideas: (1) Utilize LLM’s capabilities to produce idiomatic Rust code from given small pieces of …

Quantum Technologies In Decentralisation, Paul Robert Griffin, Rudy Raymond, Tsuyoshi Idé

Research Collection School Of Computing and Information Systems

Quantum technologies, rooted in the manipulation of quantum information, are revolutionizing computing and networking domains. Their impact on blockchains and decentralized systems is twofold. While much attention has been given to the potential of quantum computing to attack blockchains, these advanced technologies also offer avenues for strengthening and optimizing them. This chapter delves into the intricacies of quantum technologies, from the foundational concepts of qubits, quantum gates, and quantum networks to their implications for blockchains. We explore both the vulnerabilities of blockchains in a quantum-dominant era and the promising solutions quantum technologies provide, culminating in a use case examining their …

Investigating The Thixotropy Of Fresh Struvite Cement-Based Composite: Insights On Mechanisms Of The Pastes’ Thixotropic Behavior, Ugochukwu Ewuzie, Abdulkareem O. Yusuf, Damilola Daramola, Monday Uchenna Okoronkwo

Chemical and Biochemical Engineering Faculty Research & Creative Works

Struvite (ST) recovered during wastewater treatment has been sparsely applied in cement-based composites. This study systematically evaluated the thixotropic behavior of cement-struvite (CST) pastes, a mix of 5–20 % ST by mass of cement, and proposed the interaction mechanisms leading to the pastes' thixotropy. The hysteresis loop area was used to establish the pastes' thixotropy and investigate its relationship with increased ST content, temperature, and yield stress. In the thixotropic behavior model used, the equilibrium shear stress was employed to examine the CST pastes' irreversible change; the characteristic time of deflocculation was used to study the flocs destruction process; and …

Retraction: A Database Of Teleseismic Shear-Wave Splitting Measurements For The Ordos Block And Adjacent Areas(Seismological Research Letters (2022), 93, 5, (2731–2739), 10.1785/0220210310), Lin Liu, Stephen S. Gao, Kelly H. Liu, Tu Xue, Yan Jia, Sanzhong Li

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

An earlier version of this article (Liu et al., 2022) included private data from the Himalayan-III program which should not have been made public. The authors acknowledge and regret their negligence during the selection of the measurements. The impacted data represent only 2.7% of the total data published in this article, and after review, the authors and the editors agree that this unintentional error has no bearing on the work's scientific conclusions. Therefore, we are retracting the impacted data and have made corrections to remove any Himalayan-III program data from the article's text, figures, and supplemental tables.

Public Spaces For Community Campuses And Universities, Marichela Sepe

Books and Monographs

Chapter: Modern Pedestrian Campus Design in North America, 1940s-70s, Eric Mumford, pages 13-22

This volume explores the growing significance of open public spaces within università campuses—spaces that go far beyond their functional role to become essential arenas for social interaction, informal learning, well-being, and urban integration.

Structured around three interconnected themes—Campus and Public Spaces, Campus and University Communities, and Campus and the City—the volume gathers international best practices, offering an insightful tool for students, academics, designers, administrators, and urban thinkers.

Full text also available for download at https://www.inuedizioni.com/en/prodotti/pubblicazione/public-spaces-community-campuses-and-universities

Ai-Based Classification Of Pediatric Breath Sounds: Toward A Tool For Early Respiratory Screening, Liu Lichuan, Wei Li, Elizabeth Moxley

Faculty Articles, Papers, and Other Scholarship

Context: Respiratory morbidity is a leading cause of children’s consultations with general practitioners. Auscultation, the act of listening to breath sounds, is a crucial diagnostic method for respiratory system diseases. Problem: Parents and caregivers often lack the necessary knowledge and experience to identify subtle differences in children’s breath sounds. Furthermore, obtaining reliable feedback from young children about their physical condition is challenging. Methods: The use of a human–artificial intelligence (AI) tool is an essential component for screening and monitoring young children’s respiratory diseases. Using clinical data to design and validate the proposed approaches, we propose novel methods for recognizing and …

Investigating Spectral Rendering Techniques To Improve Colour Matching In Virtual Production, Vlad Simion

Theses

As rendering engines become increasingly important in film and television, with their use in virtual production (VP) to display rendered imagery, some underlying issues become more apparent. This thesis aims to investigate how we can improve asset color matching of VP elements with real-life objects found on sets. Experiments were conducted in which objects were exposed to various types of lighting setups, and digital twins were rendered using traditional computer graphics techniques. The renderings occurred in both classic RGB spaces and the spectral domain. Additionally, data reduction techniques were used for the spectral renderings to determine if any of them …

A Simple Model Of Spiral Galaxies From Geometric Optics, Bogdan Szafraniec, James N. Blake

Faculty Research, Scholarly, and Creative Activity

We propose a simple model of spiral galaxies based on the interference of gravitational waves. The interference is deduced from geometric optics analysis of the refractive index profiles that mimic the behavior of gravitational potentials −1/r and r². We analyze the refractive index profiles, n(r)² = a + b/r and n(r)² = a + br², because they are realistically shaped and yield closed form solutions. The two profiles yield similar physical results, showing that the physical interpretation is not dependent on the exact details of the profile. The first profile yields trajectories that can …

Evaluating The Predictive Value Of Basc-3 Anxiety Scale And Working Memory Index Scores For Clinically Significant Test Anxiety: A Comprehensive Analysis Of Non-Classifiable Cases, Des'tiana S. Williams

Electronic Theses and Dissertations

This dissertation will explore how test anxiety (TA) affects working memory (WM) and whether certain factors can help predict higher levels of test anxiety. Anxiety has been defined as a common experience that can show up in various forms—like general worry, social fears, panic attacks, and specific phobias (APA, 2022). It was described as often triggering our natural “fight-or-flight” response, which can impact our ability to focus, think clearly, and remember things. For students, test anxiety has been especially challenging, affecting how they perform in high-stakes academic settings. Using data from a university based psychological assessment center, this study will …

Evaluating The Predictive Value Of Basc-3 Anxiety Scale And Working Memory Index Scores For Clinically Significant Test Anxiety: A Comprehensive Analysis Of Non-Classifiable Cases, Des'tiana S. Williams

Electronic Theses and Dissertations

This dissertation will explore how test anxiety (TA) affects working memory (WM) and whether certain factors can help predict higher levels of test anxiety. Anxiety has been defined as a common experience that can show up in various forms—like general worry, social fears, panic attacks, and specific phobias (APA, 2022). It was described as often triggering our natural “fight-or-flight” response, which can impact our ability to focus, think clearly, and remember things. For students, test anxiety has been especially challenging, affecting how they perform in high-stakes academic settings. Using data from a university based psychological assessment center, this study will …

The Settlement Privacy-Transparency Matrix: Moving Beyond The Dichotomous Mindset In The Settlement Debate, Alyson Carrel, Peter K. Chan

Journal of Dispute Resolution

The philosopher Arthur Schopenhauer once wrote, “The first forty years of life give us the text; the next thirty supply the commentary on it.” Forty years after Owen Fiss’s seminal article “Against Settlement,” it is time to reimagine how we approach the settlement debate beyond traditional dichotomies. Just as Schopenhauer recognized that time and experience allow us to better understand our past, forty years of grappling with the settlement debate have given us the perspective to see its limitations, and now with emerging technologies, new possibilities. The ‘text’ of the debate—its dichotomous framing and distributive solutions—has shaped four decades of …

Direct Coupling Of Continuum And Shell Elements In Large Deformation Problems, Astrid Pechstein, Michael Neunteufel

Mathematics and Statistics Faculty Publications and Presentations

In many applications, thin shell-like structures are integrated within or attached to volumetric bodies. This includes reinforcements placed in soft matrix material in lightweight structure design, or hollow structures that are partially or completely filled. Finite element simulations of such setups are highly challenging. A brute force discretization of structural as well as volumetric parts using well-shaped three-dimensional elements may be accurate, but leads to problems of enormous computational complexity even for simple models. One desired alternative is the use of shell elements for thin-walled parts, as such a discretization greatly alleviates size restrictions on the underlying finite element mesh. …

The Discontinuous Petrov–Galerkin Method, Leszek Demkowicz, Jay Gopalakrishnan

Mathematics and Statistics Faculty Publications and Presentations

The discontinuous Petrov–Galerkin (DPG) method is a Petrov–Galerkin finite element method with test functions designed for obtaining stability. These test functions are computable locally, element by element, and are motivated by optimal test functions which attain the supremum in an inf-sup condition. A profound consequence of the use of nearly optimal test functions is that the DPG method can inherit the stability of the (undiscretized) variational formulation, be it coercive or not. This paper combines a presentation of the fundamentals of the DPG ideas with a review of the ongoing research on theory and applications of the DPG methodology. The …

Expanding And Mainstreaming Sociohydrology Toward Transdisciplinary Praxis, Shinichiro Nakamura, Heidi Kreibich, Melissa Haeffner, Jenia Mukherjee, Giuliano Di Baldassarre, Maiko Sakamoto, Mikiko Sugiura, Günter Blöschl, Taikan Oki, Murugesu Sivapalan

Environmental Science and Management Faculty Publications and Presentations

Since its development in the early 2010s, sociohydrology has deepened our understanding of the long-term coevolution of humans and water by integrating insights from both the natural and social sciences, while also fostering an interdisciplinary community. Its modus operandi to date has been to focus on emergent phenomena, manifesting as unintended consequences, in a variety of contexts. The compound disaster that struck Japan’s Noto Peninsula in 2024, and similar experiences in other parts of the world, underscore the urgent need for systemic approaches that are co-developed by academia and practitioners and focus on context-specific solutions. This perspective piece thus calls …

Automated Assignment Grading With Large Language Models: Insights From A Bioinformatics Course, Pavlin G Poličar, Martin Špendl, Tomaž Curk, Blaž Zupan

Faculty, Staff and Students Publications

Motivation: Providing students with individualized feedback through assignments is a cornerstone of education that supports their learning and development. Studies have shown that timely, high-quality feedback plays a critical role in improving learning outcomes. However, providing personalized feedback on a large scale in classes with large numbers of students is often impractical due to the significant time and effort required. Recent advances in natural language processing and large language models (LLMs) offer a promising solution by enabling the efficient delivery of personalized feedback. These technologies can reduce the workload of course staff while improving student satisfaction and learning outcomes. Their …

Clonal Evolution Of Hematopoietic Stem Cells After Autologous Stem Cell Transplantation, Hidetaka Uryu, Koichi Saeki, Hiroshi Haeno, Chiraag Deepak Kapadia, Ken Furudate, Jyoti Nangalia, Michael Spencer Chapman, Linda Zhang, Jennifer Padilla, Li Zhao, Joanne I Hsu, Chong Zhao, Shujuan Chen, Tomoyuki Tanaka, Zongrui Li, Satoko Ogata, Sarah Hanache, Hui Yang, Courtney Dinardo, Naval Daver, Naveen Pemmaraju, Nitin Jain, Farhad Ravandi, Jianhua Zhang, Xingzhi Song, Erika Thompson, Hongli Tang, Latasha Little, Curtis Gumbs, Robert Z Orlowski, Muzaffar Qazilbash, Kapil Bhalla, Simona Colla, Hagop Kantarjian, Rashmi Kanagal-Shamanna, Carlos Bueso-Ramos, Daisuke Nakada, Gheath Al-Atrash, Jeffery Molldrem, P Andrew Futreal, Elizabeth Shpall, Margaret Goodell, Guillermo Garcia-Manero, Koichi Takahashi

Faculty, Staff and Student Publications

The impact of exogenous stressors, such as cancer chemotherapies, on the genomic integrity and clonal dynamics of normal hematopoiesis is not well defined. We conducted whole-genome sequencing on 1,276 single-cell-derived hematopoietic stem and progenitor cell (HSPC) colonies from ten patients with multiple myeloma treated with chemotherapies and six normal donors. Melphalan treatment significantly increased the mutational burden, producing a distinctive mutation signature, whereas other chemotherapeutic agents had minimal effects. Consequently, the clonal diversity and architecture of post-treatment HSPCs resemble those observed in normal elderly individuals, particularly through the progression of oligoclonal hematopoiesis, thereby suggesting that chemotherapy accelerates clonal aging. Integrated …

Metabolic Clearance Rate Of Insulin Across The Glucose Tolerance Spectrum By Race And Ethnicity In Youth With Obesity, Wonhee Cho, Fida Bacha, Hala Tfayli, Sojung Lee, Sara F Michaliszyn, Joon Young Kim, Silva Arslanian

Children’s Nutrition Research Center Staff Publications

Objective: Despite β-cell failure in youth with dysglycemia (i.e., impaired glucose tolerance [IGT] and type 2 diabetes), fasting insulin (FI) concentrations are elevated. Herein, we examined the following: 1) metabolic clearance rate of insulin (MCRI) in youth with obesity and normal glucose tolerance (NGT) versus those with IGT versus those with type 2 diabetes; 2) racial and ethnic differences in insulin dynamics; and 3) metabolic/adiposity correlates of MCRI.

Methods: A total of 206 youth underwent assessment of fasting glucose, FI, MCRI and peripheral insulin sensitivity (PIS), first-phase insulin secretion, disposition index, body composition, and abdominal adiposity.

Results: In type 2 …

The Effect Of Integrating Augmented Reality (Ar) Technology In Science Education Teaching On Improving The Biological Concepts Learning Among Kindergarten Children, Kawthar Habeeb

Journal of Educational and Psychological Studies

This quasi-experimental study explored the impact of AR on acquiring biological concepts among kindergarteners. The sample comprised 30 second-level kindergarteners from a school in Farwaniya Educational Directorate, Kuwait. Participants were randomly divided into an experimental group (n = 15), taught using AR, and a control group (n = 15), taught traditionally. Results revealed statistically significant di erences in biological concept understanding, favoring the experimental group. Additionally, the experimental group demonstrated significant improvement from pre-test to post-test stages. These findings highlight the potential of AR to enhance learning outcomes in kindergarten biology education. The study emphasizes the importance of integrating AR …

Individualized Functional And Structural Language Lateralities In Temporal Lobe Epilepsy And Their Impact On Memory, Ankeeta Ankeeta, Qirui Zhang, Sam Sharifzadeh Javidi, Shilpi Modi, Michael R. Sperling, Joseph I. Tracy

Department of Neurology Faculty Papers

The basis and impact of functional asymmetries in the brain, particularly language lateralization, are not fully understood, and the relationship between functional and structural asymmetries remains largely untested. This study investigated the degree to which asymmetries in hemispheric language laterality are concordant with asymmetries in gray matter (GM) structure and whether the hemispheric organization of memory is influenced by functional language asymmetries. Structural and functional MR data was acquired from 261 individuals, including those with unilateral temporal lobe epilepsy (LTLE = 96, RTLE = 69) and matched with healthy participants (HPs = 96). Functional language laterality indices (LIs) were calculated …

Multiple Subcortical And Subcortico-Cortico Dynamic Network Reconfigurations Characterize Focal-To-Bilateral Tonic-Clonic Seizures, Shilpi Modi, A. Ankeeta, Walter Hinds, Michael R. Sperling, Xiaosong He, Joseph I. Tracy

Department of Neurology Faculty Papers

Temporal lobe epilepsy (TLE) is the most common focal epilepsy, with focal to bilateral tonic-clonic seizures (FBTCS+) a more severe form of the disorder. Evidence has underscored the critical role of the thalamus, mesial temporal region, basal ganglia and cerebellum, along with the cortex, in the propagation, termination, and modulation of seizure activity. We examined time variant patterns of interaction within and between 7 cortical and 4 subcortical systems in 55 healthy controls and 56 patients with TLE (n = 40 with FBTCS+ and 15 without), isolating those patterns most distinctive of FBTCS+ utilizing tools from dynamic network neuroscience on …

"Access Granted": Analyzing The Growing Use Of Biometric Data Collection At Sports Facilities, Patrick Doll

UNH Sports Law Review

No abstract provided.

Comparison Of Energy Efficiency And Vegetation In Different Establishment And Management Systems Of Steep Mountainous Grassland In The Aso Area, Japan, K Kabata, C Okamoto, M Shimizu, M Kikuchi

IGC Proceedings (1977-2023)

The Aso area is one of the most important areas for grass­land agriculture in Japan. In this area there exists ca. 44,000 hectares of which ca. 28,700 ha are steep mountainous lands ( a gradient of more than 15 degrees). Additionally, there is much precipitation (ca 2.600 mm/year) in the area. Consequently, there is a problem of grassland destruction due to soil erosion. Therefore, in order to promote the utilization and conser­vation of steep grasslands, the following two experimental grazing were carried out: 1) a two pasture system and 2) a coexistent pasture system with introduced and native grasses. In …