Digital Commons Network^™

Enhancing Critical Thinking Through Interactive Learning Approaches For First-Year University Students, Nana Yaw B. Agyeman, Venessa Vela Aphane Ms

Journal of Research Initiatives

The use of interactive learning methods is considered crucial in equipping university students with critical skills. This could successfully deal with, and address issues encountered in real-world contexts. It has been noted that most first-year university students often face challenges adjusting to university life due to their background. The research methodology utilized in this study was qualitative, as it was deemed appropriate for the research objectives. A case study design was employed to investigate the issue comprehensively. A purposive sample of eight participants was selected. Thematic analysis was employed as the method of data analysis. The study's findings suggest that …

Boundless Possibilities: Reimagining Blackness In Wilson Kwamogi Okello’S On Blackness, Liveliness, And What It Means To Be Human, Duane Ebesu

Journal of Research Initiatives

Wilson Kwamogi Okello's *On Blackness, Liveliness, and What It Means to Be Human* theorizes the inheritances of systemic anti-Blackness while affirming Blackness as a site of creativity, vitality, and world-making. Okello examines how Western humanism and the coloniality of knowledge have excluded and restricted Black life both socially and within educational systems and epistemology. The volume is composed of three parts and critiques the regulative logics of higher education, the aesthetics and relationality of Black life, and the pervasive reach of carceral systems. At its core, Okello proposes a reconceptualization of Blackness in terms of "liveliness," viewing it as a …

Trends In Genitourinary Tumors: Academic Center Experience Over 16 Years, Samah N. Saharti, Fawaz M. Almutairi

Saudi Medical Journal

ABSTRACT Objectives: To analyze the trends, histopathological characteristics, and demographic distribution of genitourinary (GU) tumors at a major academic center in Jeddah, Saudi Arabia, over a 16-year period (2007–2023). Methods: A retrospective review of electronic medical records was conducted, including all histologically confirmed cases of GU tumors. Data on patient demographics, tumor type, and histopathological findings were extracted and analyzed using descriptive and inferential statistical methods. Results: A total of 1,791 GU tumor cases were identified. Bladder cancer was the most prevalent (42%), followed by prostate cancer (21%) and renal cell carcinoma (21%). Testicular and ureteral tumors were less common, …

Serum Levels Of Gdf-15, Betatrophin, Tnf-Α And Il-6 In Diabetic Patients With And Without Diabetic Complications, Ahmet Yılmaz, Tugce Kaymaz, Burkay Yakar, Mehtap Gömleksiz, Erhan Önalan, Mehmet F. Gürsu

Saudi Medical Journal

ABSTRACT Objectives: To investigate serum levels of growth differentiation factor 15 (GDF-15), inflammatory biomarkers, and betatrophin in individuals with diabetes mellitus, both with and without complications. Methods: A cross-sectional analysis was conducted involving patients with diabetes. Participants were categorized into 3 groups: Group 1 (30 healthy individuals without diabetes), Group 2 (30 diabetic patients without complications), and Group 3 (30 diabetic patients with complications). Blood samples were collected to assess standard biochemical parameters, as well as plasma concentrations of betatrophin, tumor necrosis factor-alpha (TNF-α), interleukin-6 (IL-6), and GDF-15. All serum biomarkers were quantified using enzyme-linked immunosorbent assay (ELISA) techniques. Results: …

Relationship Between The Prevalence Of Breast Arterial Calcifications On Mammography And Coronary Calcifications On Chest Ct: A Cross-Sectional Study, Laila K. Ashkar, Lamia G. Jamjoom

Saudi Medical Journal

ABSTRACT Objectives: To investigate the relationship between breast arterial calcifications (BAC) detected on mammography and coronary artery calcifications (CAC) identified on chest CT in Saudi women, focusing on prevalence, age-specific patterns, and cardiovascular risk factors. Methods: This cross-sectional study was conducted at a tertiary center in Saudi Arabia using data from hospital electronic medical records of 60 women aged 40–88 years who underwent mammography and chest CT, within the same year during the time period from January 2021 to December 2022. Data on demographics, cardiovascular risk factors, and imaging findings were collected. The association between BAC and CAC was analyzed …

A Difficult Act To Maintain, J.G. Allen

Research Collection Yong Pung How School Of Law

In "Where is Singapore's AI regulation headed?" (Issues, Summer 2025), Manoj Harjani starts by recounting its delicate balancing act in governing artificial intelligence. The city-state is able to maintain credibility on the global stage while remaining pragmatically grounded in technical experimentation, maintaining policy realism without overcommitting to rigid legal frameworks. The choice to adopt a regulatory “light touch” is often framed as a way to maintain flexibility, avoid overregulation, and enable innovation. But this obscures the extent to which this posture is itself a political and economic settlement—one that reinforces Singapore’s position in the global digital economy by facilitating capital …

A New Era Of Zines: Taking Lessons From The Past To Combat Intellectual And Political Fascism, Catherine Kane

Book Publishing Final Research Papers

Zines have long functioned as a way to circumvent the traditional gatekeepers of news, art, mainstream narratives, and publishing. They are largely non-commercial, and their emphasis is to put the means of production and distribution directly into the hands of the individual. Although their roots are in DIY, proletariat culture, they are now the subject of study in museums, libraries, and higher education, and have been co-opted by big brands, media outlets, and publishing houses—the institutions they originally sought to undermine.

In their most authentic form, zines have represented free thinking and speech, while giving individuals and communities a rallying …

September 2025, Office Of Research

Research Update

No abstract provided.

Death Penalty For Drug Offenders In Southeast Asia: Weakening Of Resistance To Change?, Wing Cheong Chan

Research Collection Yong Pung How School Of Law

Although the global movement towards abolition of the death penalty has been supported by an increasing number of countries in the world, the number of persons executed for drug offences actually increased in the last few years. Known executions for drug offences now account for more than 40 per cent of all global executions. Most such executions take place in Asia. Of the 34 countries in the world that still retain the death penalty for drug offenders, all nine of those identified as “high application states” (China, Indonesia, Iran, Kuwait, Malaysia, North Korea, Saudi Arabia, Singapore and Vietnam) are found …

Bridging The Great Wall: China’S Evolving Cross-Border Data Flow Policies And Implications For Global Data Governance, Sheng Zhang, Henry S. Gao

Research Collection Yong Pung How School Of Law

Despite the rapid expansion of the digital economy, the global regulatory framework for data flows remains fragmented, with countries adopting divergent approaches shaped by their own regulatory priorities. As a key player in the Internet economy, China’s approach to cross-border data flows (CBDF) not only defines its domestic digital landscape but also influences emerging global norms. This paper takes a comprehensive view of the evolution of China’s CBDF regime, examining its development through both domestic and international lenses. Domestically, China’s regulation of CBDF has evolved from a security-first approach to one that seeks to balance security with economic development. This …

What Are The Limits To Smart Innovation? The Digital Underground Initiative And New Frontiers Of “Smartness” In Singapore, Prerona Das, Orlando Woods, Lily Kong

Research Collection College of Integrative Studies

This paper argues that the emergence of new frontiers of smart transformation, such as underground spaces, can pose significant challenges to the implementation of “smart” technological solutions. Exploring the case of Singapore’s Digital Underground initiative, we show that elements such as material complexity, co-ordination between stakeholders, and the availability of appropriate regulatory and administrative frameworks can problematize the implementation of subterranean smart initiatives. By considering multistake-holder perspectives on these “more-than-technological” factors, this paper offers lessons for urban planners, policymakers, and developers in cities around the world that are keen to leverage technology to unlock the potential of underground space.

Optimal Abort Policy For Mission-Critical Systems Under Imperfect Condition Monitoring, Qiuzhuang Sun, Jiawen Hu, Zhi-Sheng Ye

Research Collection College of Integrative Studies

Although most on-demand mission-critical systems are engineered to be reliable to support critical tasks, occasional failures may still occur during missions. To increase system survivability, a common practice is to abort the mission before an imminent failure. We consider optimal mission abort for a system whose deterioration follows a general three-state (normal, defective, failed) semi-Markov chain. The failure is assumed self-revealed, whereas the healthy and defective states have to be inferred from imperfect condition-monitoring data. Because of the non-Markovian process dynamics, optimal mission abort for this partially observable system is an intractable stopping problem. For a tractable solution, we introduce …

The Cool, Quiet City Machine Learning Competition: Overview And Results, Clayton Miller, M. Ibrahim, I.S. Akbar, B. Picchetti, Y.X. Chua, M. Frei, F. Biljecki, A. Chong, M. Quintana, C. Fu

Research Collection College of Integrative Studies

The prediction of thermal and noise-based preferences in the urban context is valuable in characterizing interventions to mitigate the challenges of health, productivity, and satisfaction of urban dwellers. The growth of crowd-sourced data and data-driven techniques provides an opportunity to increase the understanding of which machine learning models are most accurate and applicable for this context. This paper outlines the results of a machine learning competition aiming to enhance the accuracy of predicting human comfort in the city context. The competition asks contestants to use contextual data to predict noise distraction and thermal preference in various indoor and outdoor spaces. …

Recurrent Autoregressive Linear Model For Next-Basket Recommendation, Tereza Zmeskalova, Antoine Ledent, Martin Spisak, Pavel Kordik, Rodrigo Alves

Research Collection School Of Computing and Information Systems

Next-basket recommendation aims to predict the (sets of) items that a user is most likely to purchase during their next visit, capturing both short-term sequential patterns and long-term user preferences. However, effectively modeling these dynamics remains a challenge for traditional methods, which often struggle with interpretability and computational efficiency, particularly when dealing with intricate temporal dependencies and inter-item relationships. In this paper, we propose ReALM, a Recurrent Autoregressive Linear Model that explicitly captures temporal item-to-item dependencies across multiple time steps. By leveraging a recurrent loss function and a closed-form optimization solution, our approach offers both interpretability and scalability while maintaining …

Storage Location Optimization In Automated Storage And Retrieval Systems: A Deep Reinforcement Learning Approach, Lingjun Wang, Aldy Gunawan, Pieter Vansteenwegen

Research Collection School Of Computing and Information Systems

This study investigates the optimization of storage location in automated storage and retrieval systems (AS/RS). We introduce an optimization approach based on the Deep Q-Network (DQN) algorithm to enhance warehouse task efficiency and minimize stacker travel during storage and retrieval. To accelerate the algorithm training process, we integrate a prioritized experience replay mechanism. Furthermore, we decouple action selection from value estimation within the DQN framework to address the issue of value overestimation. The proposed model is evaluated against three heuristic methods. The experimental results demonstrate that our approach significantly outperforms these baselines.

Walking On Burning Ground: A Neo-Calvinist Cure To Climate Apathy, Beatrice Shackleford

Pro Rege

No abstract provided.

Longing For Transcendence: Olympic Gold And Christian Virtue, Matthew Vos, John B. White

Pro Rege

No abstract provided.

Who Is The God "With Whom We Have To Do"?, Michael Williams

Pro Rege

No abstract provided.

Do We Serve A Dice-Throwing God? Reconciling The Indeterminacy Of Quantum Mechanics With The Sovereignty Of An Almighty God, Elias Obbink

Pro Rege

No abstract provided.

Lung Injury Risk Curves From Behind Armor Blunt Trauma Using A Live Swine Model, Narayan Yoganandan, Lewis Somberg, Danielle Wilson, Alok Shah, Jared Michael Koser, Brian D. Stemper, Valeta Carol Chancey, Joseph Mcentire

Biomedical Engineering Faculty Research and Publications

Introduction

From structural, anatomical, and functional perspectives, components of the thoracoabdominal region are heterogeneous and physiologically and functionally different. Although their tolerances to injury are expected to be different, the current Roma Plastilina No. 1 clay penetration criterion for behind armor blunt trauma (BABT) is not specific to the body region. It is important to develop regional injury criteria to ensure its specificity. The objective of the study is to conduct impact tests on the lung region using a live animal model and develop injury risk curves using velocity and deflection metrics via parametric survival analysis.

Materials and Methods

Live …

Applying Artificial Intelligence And Chatbots To Enhance Collection Development In Health Sciences Libraries, Ivan Portillo, David Carson

Library Presentations, Posters, and Audiovisual Materials

The continuous advancement of artificial intelligence (AI) and large language models (LLMs) has presented several opportunities for librarians to reduce their workload and become more efficient. This session will explore the potential of generative AI chatbots in assisting health sciences librarians with collection development. Two methods that will be discussed include the potential of AI to help discover new titles and how AI can evaluate your library collection for any potential gaps based on a college program’s curriculum.

Skill Gaming, Pooled Prize Money, And Minor League Professional Tennis, Ryan Rodenberg, Seth Richey

UNLV Gaming Law Journal

No abstract provided.

Crazy Rich Asians At What Cost? The Role Of Target Marketing In Perpetuating Problem Gambling In Asian Communities, Jana Marquez

UNLV Gaming Law Journal

No abstract provided.

The House Always Learns: Integrating Ai Into Las Vegas Casino Surveillance And The Laws Behind The Lens, Taylor Dixon

UNLV Gaming Law Journal

No abstract provided.

Scientific Multimodal Summarization : Integrating Knowledge Across Textual, Visual And Auditory Content, Zusheng Tan

Lingnan Theses (MPhil & PhD)

As scientific publications increasingly incorporate multimodal content, ranging from textual descriptions to figures, tables, presentation videos, and audio, there is a growing need for summarization systems that can effectively process and integrate information across these diverse modalities.

This work presents a comprehensive exploration of Scientific Multimodal Summarization, introducing a series of novel architectures and datasets aimed at advancing this emerging field. 1): We begin by introducing CMT-Sum, which integrates multimodal scientific source content (i.e., primarily paper text and figures) to generate high-quality textual summaries and identify representative graphical abstracts. We refer to this task as Scientific Multimodal Summarization with …

Wind Turbine Rotor Design Using High-Fidelity Aerostructural Optimization, Marco Mangano, Sicheng He, Yingqian Liao, Denis-Gabriel Caprace, Andrew Ning, Joaquim R. R. A. Martins

Faculty Publications

Large wind turbines yield more energy but demand careful aeroelastic blade design. Coupled multiphysics design strategies can reduce wind energy costs exploiting fluid-structure interactions. This work presents the first high-fidelity aerostructural optimization study of a large wind turbine rotor.We use blade-resolved fluid dynamics and structural solvers in a monolithic gradient-based optimization framework to explore steady-state torque and blade mass trade-offs. The coupled-adjoint approach computes gradients efficiently, enabling the optimization of over 100 structural and geometric parameters simultaneously. Our optimization study modifies a DTU 10 MW benchmark with a simplified structure and isotropic material properties. The tightly coupled optimizations increase torque …

Effect Of Short-Chain Polymer Binders On The Mechanical And Electrochemical Performance Of Silicon Anodes, Fei Sun, L. Zurita-Garcia, Dean R. Wheeler

Faculty Publications

Polymer binders are crucial components in providing both mechanical support and chemical stability to the structure of porous Li-ion electrodes. Particularly in silicon anodes, the active material undergoes substantial volume expansion of up to 275%. Due to the mechanical constraint of the current collector, these silicon materials tend to expand in the normal direction while exhibiting substantial particle rearrangement and plastic deformation. Conventional rigid binders such as polyacrylic acid (PAA) and polyimide (PI), while providing satisfactory initial capacity, do not eliminate diminished long-term performance. Our research attempts to develop binder formulations that can accommodate sufficient flexibility for the substantial volume …

Fisheries Science Update - Pilbara Demersal Scalefish Resource - September 2025, Department Of Primary Industries And Regional Development, Western Australia

Fisheries Science Updates

The Department of Primary Industries and Regional Development (DPIRD) monitors the status of Western Australia’s demersal scalefish resources by undertaking periodic stock assessments on key indicator species.

This summary provides key outcomes of the 2024 assessment of the Pilbara Demersal Scalefish Resource (Fisheries Research Report No. 338).

Advancing U.S. Competitiveness In Agentic Gen Ai: A Strategic Framework For Interoperability And Governance, Satyadhar Joshi

Harrisburg University Other Works

Abstract : The rapid evolution of artificial intelligence has given rise to agentic AI systems—autonomous entities capable of perceiving their environment, making decisions, and executing actions with minimal human intervention. This work provides a systematic analysis of agentic AI frameworks, governance models, and implementation strategies. Drawing on a comprehensive review of the literature, we examine the current state of agentic AI technologies, highlight key challenges in governance, security, and ethical oversight, and compare architectural frameworks for responsible deployment. Our results, illustrated through detailed framework comparisons and governance analyses, demonstrate that while agentic AI holds transformative potential across multiple sectors, notable …

Fichte’S Conception Of Law And Its Foundations, Mahmoud Saraya

Theses and Dissertations

The question concerning the true nature of law has frequently arisen throughout the history of philosophy, and many different answers have been given to it. This thesis examines Johann Gottlieb Fichte’s Foundations of Natural Right (1796–1797), which exemplifies an approach to understanding the nature of law by inquiring into its metaphysical foundations. Fichte provides a conception of law founded upon the possibility of the existence of an external world, individuality, and intersubjectivity. Law, as a moment of human self-consciousness, becomes a necessity, a condition of self-consciousness, and the ultimate foundation of human existence. Fichte’s theory shows the preconditions for establishing …