Digital Commons Network^™

Cylindformer: Image-To-Point Cloud Registration With Cylindrical Transformer, Jingtao Wang, Hao Tang, Yanpeng Sun, Shengfeng He, Zechao Li

Research Collection School Of Computing and Information Systems

Accurate correspondence extraction between distinctive pixel-wise and point-wise features is critical for image-to-point cloud (I2P) registration. Recent efforts leveraging Transformers for I2P feature representation have demonstrated potential, primarily by first capturing intra-modality global contextual dependencies via self-attention, and then learning cross-modality correlations via cross-attention. The strength of vanilla Transformers lies in modeling cross-modality global feature correlations. However, such mechanisms often struggle with the structural disparity between dense image pixels and sparse 3D points, hindering the establishment of fine-grained correspondences. Moreover, global attention may introduce ambiguity, as interactions with many inconsistent regions of intra-modality may degrade feature distinctiveness. To address these …

Plm-Effector: Unleashing The Potential Of Protein Language Models For Bacterial Secreted Protein Prediction, Dandan Zheng, Lihong Chen, Guansong Pang, Jian Yang

Research Collection School Of Computing and Information Systems

Bacterial secreted proteins, particularly effectors delivered by specialized secretion systems, are key mediators of virulence and host-pathogen interactions. However, accurate computational identification remains challenging, as many existing methods rely heavily on sequence similarity or handcrafted features, and often focus on a single secretion system. Recent studies have reported that some bacterial effectors may be associated with more than one secretion system, highlighting the complexity of secretion system annotation and motivating the development of system-aware computational prediction approaches. Here, we present PLM-Effector, a hybrid deep learning framework that integrates modern protein language models (PLMs) with multiple neural architectures via a two-layer …

Navigation Beyond Wayfinding: Robots Collaborating With Visually Impaired Users For Environmental Interactions, Shaojun Cai, Nuwan Janaka, Ashwin Ram, Janidu Shehan, Yingjia Wan, Kotaro Hara, David Hsu

Research Collection School Of Computing and Information Systems

Robotic guidance systems have shown promise in supporting blind and visually impaired (BVI) individuals with wayfinding and obstacle avoidance. However, most existing systems assume a clear path and do not support a critical aspect of navigation—environmental interactions that require manipulating objects to enable movement. These interactions are challenging for a human–robot pair because they demand (i) precise localization and manipulation of interaction targets (e.g., pressing elevator buttons) and (ii) dynamic coordination between the user’s and robot’s movements (e.g., pulling out a chair to sit). We present a collaborative human–robot approach that combines our robotic guide dog’s precise sensing and localization …

A Novel Privacy-Preserving User Information Queries Scheme With Functional Policy, Yuhang Lei, Rui Shi, Yang Yang, Chunjie Cao, Huamin Feng

Research Collection School Of Computing and Information Systems

Privacy-preserving information queries enable a requester to obtain only the value f(x) computed over sensitive data x, while preventing disclosure of the underlying records. Existing approaches typically reveal full data, incur high on-chain overhead, or lack fair and verifiable delivery of function outputs. We propose a general-purpose, blockchain-compatible framework that ensures the requester learns only f(x) with no extra leakage and that the provider receives fair payment. The design integrates Adaptor Signatures (AS) for fair exchange and Inner-Product Functional Encryption (IPFE) for fine-grained function extraction. The framework is domain-agnostic and applicable to privacy-sensitive applications such as medical insurance and financial …

Private Set Intersection: A Systematic Review, Yunbo Yang, Defan Zhu, Jianting Ning, Qi Feng, Xiaoguo Li, Yuejia Cheng, Guomin Yang, Kui Ren

Research Collection School Of Computing and Information Systems

Various services, such as search engines, are increasingly deployed in cloud-based and distributed systems. However, data are typically managed by trusted servers, making user privacy and data security critical concerns. Private set intersection (PSI) is a powerful cryptographic primitive that enables multiple parties to compute the intersection of their datasets without revealing private inputs. It has been extensively studied over the past two decades, leading to significant gains in computational and communication efficiency. Yet, in many real-world scenarios, revealing the raw intersection may still leak sensitive information. To address this, numerous PSI variants have been developed to meet different application …

Efficient Active Training For Deep Lidar Odometry, Beibei Zhou, Zhiyuan Zhang, Zhenbo Song, Jianhui Guo, Hui Kong

Research Collection School Of Computing and Information Systems

Robust and efficient deep LiDAR odometry models are crucial for accurate localization and 3D reconstruction, but typically require extensive and diverse training data to adapt to diverse environments, leading to inefficiencies. To tackle this, we introduce an active training framework designed to selectively extract training data from diverse environments, thereby reducing the training load and enhancing model generalization. Our framework is based on two key strategies: Initial Training Set Selection (ITSS) and Active Incremental Selection (AIS). ITSS begins by breaking down motion sequences from general weather into nodes and edges for detailed trajectory analysis, prioritizing diverse sequences to form a …

Identifying And Mitigating Api Misuse In Large Language Models, Terry Yue Zhuo, Junda He, Jiamou Sun, Zhenchang Xing, David Lo, John Grundy, Xiaoning Du

Research Collection School Of Computing and Information Systems

API misuse in code generated by large language models (LLMs) presents a serious and growing challenge in software development. While LLMs demonstrate impressive code generation capabilities, their interactions with complex library APIs are often error-prone, potentially leading to software failures and vulnerabilities. In this paper, we conduct a large-scale study of API misuse patterns in LLM-generated code, analyzing both method selection and parameter usage across Python and Java, using three representative LLMs (StarCoder-7B, Qwen2.5-Coder-7B, and GitHub Copilot). Based on extensive manual annotation of 3,209 method-level and 3,492 parameter-level misuses, we identify and categorize four recurring misuse types by building on …

Addressing Graph Heterogeneity And Heterophily From A Spectral Perspective, Kangkang Lu, Yanhua Yu, Ruopei Guo, Nan Cheng, Zhiyong Huang, Yunshan Ma, Meiyu Liang, Yuling Wang, Xiting Qin, Yimeng Ren, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

Graph Neural Networks (GNNs) face two key challenges, heterogeneity and heterophily, which often degrade performance. Existing approaches either focus narrowly on specific meta-paths, limiting their expressiveness, or are expressive but cannot effectively leverage higher-order neighbors. In this paper, we propose the Heterogeneous Heterophilic Spectral Graph Neural Network (H2SGNN), which combines local independent filtering to adaptively handle meta-path subgraphs with varying homophily ratios, and global hybrid filtering to capture high-order neighbor interactions with linear computational complexity. On five heterogeneous graph benchmarks—DBLP, ACM, IMDB, AMiner, and Yelp—H2SGNN consistently outperforms strong baselines, for example, achieving +1.0% Macro-F1 and +1.3% Micro-F1 on IMDB. It …

Pennies In The Bank: Building Background Knowledge, Brooke Lee Webster

Journal of English Learner Education

Abstract

Across the United States, teachers are met with stringent time requirements that may not align with the needs of the students inside the classroom. This paper explores the efforts of condensing and prioritizing in a diverse classroom. Through a reflective narrative of teaching comprehension to emerging bilingual students, this paper presents a structure that leverages morning meetings and discussion as prongs for maximizing the benefit of students within limited instructional minutes. Tasks that build competence, confidence, and connection cycle to foster the environment that students need to thrive. Additionally, this paper investigates the role of building background knowledge in …

Supporting English Language Learners: A Comprehensive Guide For Long-Term Success, Yana Shifrina-Piljovin

Journal of English Learner Education

Abstract

This literature review provides a thorough examination of the various multifaceted challenges encountered by Long-Term English Language Learners (LTELLs) in educational settings. It critically analyzes the effectiveness of current support systems and instructional strategies, synthesizes relevant recent research findings, and offers targeted recommendations aimed for educators and policymakers striving to improve educational outcomes for LTELLs. The review evaluates the efficacy of existing support frameworks and teaching methodologies, synthesizes contemporary research findings, and presents actionable recommendations for educators and legislators to enhance the learning outcomes of these students.

Supporting English Language Learners LTELLs) in classroom settings requires a deep understanding …

Are Testing Accommodations Helping Or Not? A Review Of English Learner (El) Accommodations On Standardized Tests, Cole Forbes

Journal of English Learner Education

This paper examines and critiques English Learner (EL) testing accommodation policies. They have been ineffective at increasing test scores and accessibility. The policies have mandated that EL students participate in high-stakes assessments with accommodations, and sometimes without them. The purpose of the accommodation is to create an even playing field for all test-takers, so that no subgroup is put at a disadvantage, which would compromise their scores and lead to misclassification of students. Laws and Acts such as the Bilingual Education Act of 1968, No Child Left Behind, and the Every Student Succeeds Act have updated and mandated a more …

Differentiated Instruction For Multilingual Learners: A Thematic Analysis Of Research And Practice, Mohsine Bensaid, Jiayuan Jiang

Journal of English Learner Education

Differentiated instruction (DI) is widely promoted as a means of supporting diverse learners, yet its enactment for multilingual learners (MLs) remains uneven and under-theorized in mainstream classrooms. This study examines how DI is conceptualized and implemented to support MLs by attending to learners’ linguistic, cultural, and academic profiles. Using reflexive thematic analysis, this qualitative synthesis examines 20 peer-reviewed empirical studies published between 2010 and 2024 in English-medium K–12 contexts in the United States, with particular attention to elementary settings when specified. Analytic interpretation was supported by practitioner-based reflection functioning as an interpretive lens rather than a separate data source. Four …

A Quasi-Experimental Study On The Effectiveness Of Achieve3000 On The Reading Comprehension Scores Of Ells With Ld, Paula P. Fields

Journal of English Learner Education

The purpose of this quasi-experimental pretest-posttest study was to determine if a significant difference existed in the comprehension scores of secondary English Language Learners with learning disabilities after treatment. The problem addressed is that a significant correlation exists between English language learners and learning-disabled students’ low reading proficiency scores and student achievement, leading to decreased graduation rates. Schema theory served as the theoretical foundation of this research because when the appropriate schema is activated, it helps increase comprehension. The research question guiding this study was: Is there a significant difference between the reading comprehension scores of high school English language …

Reading Comprehension Interventions For Multilingual Learners With Disabilities: A Systematic Review, Sariya Shabnam, Jennifer E. Smith, Samiratu Bashiru

Journal of English Learner Education

Multilingual learners with disabilities (MLWDs) face substantial barriers to reading comprehension given the intersecting challenges of language acquisition and disability (Artzi et al., 2022; Frates et al., 2024). Students with disabilities often need explicit, strategy-based instruction with modeling, guided practice, and scaffolding (Frates et al., 2024; Wawire et al., 2024; Moura, 2024). When learners are also multilingual, interventions must be linguistically accessible and responsive to diverse cognitive profiles (Moura, 2024; Sarisahin, 2020). MLWDs comprise 15.8% of English learners in U.S. public schools (NCES, 2024), yet research on effective comprehension interventions remains limited; most studies treat multilingual learners or students with …

The New Red Scare: The Shocking Truth Behind The Fda's Unethical Regulation Of Red 40 And Other Synthetic Food Dyes, Angelica Martuscello

Pace Law Review

For decades, the U.S. Food and Drug Administration (FDA) has allowed synthetic food dyes to remain in the American food supply, despite evidence linking them to cancer and behavioral issues in children. These additives offer no nutritional value yet remain common in everyday products. This essay scrutinizes the FDA’s failure to enforce its own legal obligations, particularly its continued approval of synthetic dyes, which were later found to be harmful to human health. Harmful dyes have been kept on the market due to weak oversight, outdated science, and industry lobbying. In 2025, the FDA finally announced a plan to phase …

Lessons In Pedagogy: My Experience With Problem-Based Learning, Leslie Y. Garfield Tenzer

Pace Law Review

This Article chronicles my experimental adoption of Problem-Based Learning (PBL) in first-year Contracts. After three decades of conventional teaching, I observed that Gen Z students struggled to transition from undergraduate memorization strategies to law school-level analytical reasoning, prompting my desire to engage in a fundamental pedagogical change. Drawing on successful PBL implementations in medical and mathematics education, I restructured my Contracts course around collaborative problem-solving in small groups, transforming my role from lecturer to facilitator. Students worked through authentic legal scenarios at whiteboards, developing rule-based reasoning through active engagement rather than passive reception.

This article first details my reasons for …

On Some Temporal Values Of The Verb Kan (To Be) In Moroccan Arabic, Zahra Zaid

Faits de Langue et Société (FLS)

The expression of tense is a universal characteristic of natural languages. Each one has a linguistic resource to locate the process on the tense axis in relation to the speaker's present or in relation to other processes. In this contribution, we propose, from the description of a corpus of simple verbal sentences, to identify some temporal values rendered by the verbal forms composed of the auxiliary kan (to be) and the verbal predicate in Moroccan Arabic (AM). The aim is to show that other categories can provide details on the functioning of temporality in Moroccan Arabic, such as the verb …

Digital Practices Among Young Oasis Women: Tailor-Made Internet Connections, Douha Ejjaouani, Zakaria Kadiri

Faits de Langue et Société (FLS)

Cette étude analyse l’appropriation des technologies numériques par les jeunes femmes de l’oasis de Toudgha (Tinghir) à travers le prisme de la sociocritique et des études de genre. Dans un contexte marqué par un contrôle patriarcal, le smartphone apparaît comme un outil de « braconnage » quotidien. À travers une intimité « sous la couette », l’espace virtuel devient un refuge nocturne, favorisant l’expérimentation identitaire face aux stigmates sociaux tels que le divorce et le mariage précoce. Fondé sur trente entretiens qualitatifs, l’article explore la tension entre l’émancipation numérique et la reproduction des inégalités du monde réel. Si le monde …

Gender Inequalities In Morocco: Between Attempts At Destabilization And Patriarchal Continuity, Osire Glacier

Faits de Langue et Société (FLS)

This text explores gender inequalities in Morocco by articulating patriarchal continuity and attempts at destabilization through gender studies. It takes as its starting point the pioneering initiative of Fatima Sadiqi, who founded the first women's research center (1996) and the first gender studies unit (2000) at the University of Fez. These structures aimed to introduce the concept of gender into the humanities and social sciences to deconstruct sociocultural obstacles to equality. Since then, the integration of similar programs in other universities has strengthened the visibility of these issues in higher education. Based on a discourse analysis of representations of women, …

Reply To The Letter-To-Editor On Article "Evaluation Of Left Ventricular Function In Coronary Artery Ectasia: The Added Value Of 2d Speckle-Tracking Echocardiography", Osama Elshaer

Journal of the Saudi Heart Association

No abstract provided.

Informing Consumer Product Sound Quality Analysis Using Generative Adversarial Networks, Daniel Jeffery Lesko, Vinh Nguyen

Michigan Tech Publications

Sound quality attributes have been proven important predictors of customer satisfaction with consumer goods and appliances. The results of several studies indicate that level-based, tonal, and temporal aspects of sound influence the perceived quality of consumer products. The current state-of-the-art of inferring consumer satisfaction with sound attributes is based on the jury test methodology. However, product engineers often find the models generated from these studies incomplete, resulting in products that fail to meet consumer expectations. Therefore, this study aims to utilize generative data-driven approaches to create a range of acceptable sound quality attributes given consumer satisfaction requirements. A baseline sound …

Trust In Regulation In A Time Of Revolution, Cristie Ford

All Faculty Publications

In a moment when big-P Politics feel practically catastrophic, the suggestion that we should be focusing on regulation could seem foolish, or worse: it could seem like some kind of self-serving effort to pretend our work rearranging deck chairs continues to matter. Regulation can feel like the opposite of resistance, and resistance is on many peoples’ minds these days, particularly in the United States. And, the goal of this paper is to argue that failing to focus on regulation – and especially on trust in regulation, in this time of revolution – would be a terrible mistake. Regulation is at …

Peran Ojk Dalam Pencegahan Fraud Pada Equity Crowdfunding: Studi Perbandingan Dengan Mekanisme Pengawasan Perbankan, Amanda Amelia Rizki, Ina Kurnia Savitri, Irsya Bakhtiar

Technology and Economics Law Journal

This study examines the role of the Financial Services Authority (Otoritas Jasa Keuangan/OJK) in preventing fraud in the implementation of Equity Crowdfunding (ECF) in Indonesia and compares it with the supervisory mechanisms of the banking sector, which are based on the prudential principle. Using a normative juridical approach and a comparative regulatory study, the research finds that although Financial Services Authority Regulation No. 17 of 2025 concerning the Offering of Securities through Information Technology Based Crowdfunding Services (POJK No. 17 of 2025) has strengthened the regulatory framework for ECF through licensing requirements, off-site and on-site supervision, issuer due diligence obligations, …

Social Media And E-Cigarette Use In Youth: Does Depression Play A Mediating Role?, Soumya Upadhyay, Mohammad Karim, Shivank Chhaya

Healthcare Administration and Policy Faculty Research

About 28% of middle and high school students report the use of e-cigarettes per the 2019 NYTS survey. Social media can seclude a youth into limited set of beliefs, including affirmation for e-cigarette use. Internalizing problems like depression may be due to overuse of social media, and youth with depressive symptoms are more likely to use e-cigarettes to cope. National Youth Tobacco Survey (NYTS) 2023 data was used (n = 18 143) in a cross-sectional design. Ever e-cigarette use was the binary (Y/N) dependent variable. Independent variable, social media use, was categorized as “never,” “nondaily,” “daily.” Mediator variable, presence of …

Interdependence And Portfolio Analysis Of Property Sector Real Estate Investment Trusts (Reits) In Malaysia During Covid-19, Muhammad Aqhari Azmi, Muhammad Zaim Razak

International Journal of Management, Finance and Accounting

This study examines the benefits of incorporating Malaysian Real Estate Investment Trusts (REITs) into a mixed-asset portfolio, with a focus on the periods preceding, during, and following the COVID-19 pandemic. The study utilises daily data from 1 January, 2018 to 21 October 2024, sourced from the Datastream database. By utilising the Dynamic Conditional Correlation-Generalized Autoregressive Conditional Heteroskedasticity (DCC-GARCH) model, the study examines the volatility of office property REITs and retail property REITs, as well as the linkages between these assets and stocks and bonds. The findings reveal that REITs exhibit unique volatility structures and correlations with other financial assets, which …

Cultivating Responsible Artificial Intelligence Practices In Malaysian Higher Education, Sharfika Raime, Norsafriman Abd. Rahman, Raemah Abdullah Hashim, Mohd. Farid Shamsudin

International Journal of Management, Finance and Accounting

The integration of Artificial Intelligence (AI) in higher education presents both opportunities and ethical challenges. In Malaysia, private universities are adopting AI at a pace that often outshines the development of governance frameworks, raising concerns over transparency, data privacy, and ethical literacy. This research examines the influence of three predictors (AI Transparency, Data Privacy Awareness, and Ethical AI Literacy) on the ethical use of AI among 221 academicians. Guided by Deontological Ethical Theory and employing a quantitative correlational design, the analysis revealed strong and significant relationships among all variables. Data Privacy Awareness emerged as the most consistent and positive predictor …

Factors Affecting The Adoption Of Artificial Intelligence-Driven Wearable Technology In The Malaysian Healthcare Sector: A Conceptual Framework, Syeda Hafsa Rizwan, Anusuyah Subbarao, Nasreen Khan, Farrukh Ahmed Khan, Shaikh Fazlur Rahman, Nimra Aziz, Syed Muntazir Azhar Shah

International Journal of Management, Finance and Accounting

This conceptual paper examines the adoption of Artificial Intelligence (AI)-driven wearable technology, including smartwatches, fitness trackers, wearable ECGs, glucose monitors, and pain management devices, in transforming healthcare in Malaysia. Despite the extreme potential to enhance patient care and healthcare monitoring, the adoption of AI-driven wearable technology remains limited due to several persistent barriers. The purpose of this study is to examine these challenges and propose a framework to improve the integration of AI-driven wearable technology in Malaysia’s healthcare system. Grounded in the Diffusion of Innovation (DOI) theory, this study examines how five key innovation attributes —relative advantage, compatibility, complexity, trialability, …

The Future Of Marketing: Personalized Customer Engagement Through Artificial Intelligence In The Malaysian E-Commerce Landscape, Aaron Aw Teik Hong, Herison Surbakti

International Journal of Management, Finance and Accounting

This research examines how Artificial Intelligence (AI) is used in adapting customer engagement in e-commerce in Malaysia. Many companies are turning to chatbots, recommendation systems, and personalized analytics in AI to enhance customer service and business operational productivity. However, AI integration among Small and Medium-sized Enterprises (SMEs) in Malaysia is still in its early development phases. Technological limitations, budget constraints, and existing regulations pose significant challenges. The study employs a qualitative approach by examining academic journals, industry reports, policy documents, and case studies to investigate the problems and challenges related to AI in marketing personalization. The conceptual framework helps study …

Influence Of Time Management Skills And Technostress On Academic Performance Among The Private University Students: A Conceptual Framework, Jogtika Ramasamy, Nasreen Khan Thandar Oo

International Journal of Management, Finance and Accounting

Digital tools enhance learning but can also cause technostress, which can impact focus and academic performance. Balancing technology use with effective time management and social engagement is key to student success. Students in Malaysia's Klang Valley reported increased feelings of loneliness, mental health issues, and technostress, particularly as a result of the shift to online learning. This study aims to propose a conceptual framework based on the Study Demand-Resources Theory, examining how time management skills and technostress dimensions influence academic performance through the mediating role of student engagement. A quantitative and cross-sectional survey will be conducted by distributing Likert scale …

Innovative Approaches To E-Grocery: Analyzing Customer Satisfaction In Facebook Livestream Shopping, Karen Tien Wan Lin, Vincent Oh Kim Seng, Hasliza Hassan, Shaikh Fazlur Rahman

International Journal of Management, Finance and Accounting

The primary objective of this study is to examine the crucial determinants that influence customer satisfaction in Facebook livestream e-grocery shopping in Malaysia, with a particular focus on housewives as a significant consumer segment. A sample of 220 respondents was selected using simple random sampling, and the data was analyzed using the Statistical Package for the Social Sciences (SPSS). The analysis confirms the hypotheses that customer satisfaction in Facebook Livestream e-grocery shopping was influenced by factors such as product quality, security, website design, delivery service and e-service quality. Interestingly, three factors, including information quality, payment method, and product variety, were …